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A global threats overview for Numeniini populations: synthesising expert knowledge for a group of declining migratory birds

Published online by Cambridge University Press:  01 March 2017

JAMES W. PEARCE-HIGGINS
Affiliation:
British Trust for Ornithology, The Nunnery, Thetford, Norfolk, IP24 2PU, UK. and Conservation Science Group, Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK.
DANIEL J. BROWN
Affiliation:
RSPB Centre for Conservation Science, RSPB Scotland, 2 Lochside View, Edinburgh Park, Edinburgh EH13 9DH, UK.
DAVID J. T. DOUGLAS
Affiliation:
RSPB Centre for Conservation Science, RSPB Scotland, 2 Lochside View, Edinburgh Park, Edinburgh EH13 9DH, UK.
JOSÉ A. ALVES
Affiliation:
Centre for Environmental and Marine Studies (CESAM), Department of Biology, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal and University of Iceland, South Iceland Research Centre, Fjolheimar, IS-800 Selfoss, Iceland.
MARIAGRAZIA BELLIO
Affiliation:
Australasian Wader Studies Group, c/o 58 Kirby Flat Road, Yackandanah, VIC 2749, Australia.
PIERRICK BOCHER
Affiliation:
Laboratory Littoral Environnement et Sociétés, UMR6250, CNRS-ULR, University of La Rochelle, 17000 La Rochelle, France.
GRAEME M. BUCHANAN
Affiliation:
RSPB Centre for Conservation Science, RSPB Scotland, 2 Lochside View, Edinburgh Park, Edinburgh EH13 9DH, UK.
ROB P. CLAY
Affiliation:
WHSRN Executive Office / Oficina Ejecutiva de la RHRAP, Rodríguez de Francia 869, Asunción, Paraguay.
JESSE CONKLIN
Affiliation:
Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, PPOP.O. Box 11103, 9700 CC Groningen, The Netherlands.
NICOLA CROCKFORD
Affiliation:
RSPB, The Lodge, Sandy, Bedfordshire SG19 2DL, UK.
PETER DANN
Affiliation:
Research Department, Phillip Island Nature Parks, P.O. Box 97, Cowes, Phillip Island, Victoria, 3922, Australia.
JAANUS ELTS
Affiliation:
University of Tartu / Estonian Ornithological Society, Veski 4, 51005 Tartu, Estonia.
CHRISTIAN FRIIS
Affiliation:
Canadian Wildlife Service, 4905 Dufferin St, Toronto, Ontario M3H 5T4, Canada.
RICHARD A. FULLER
Affiliation:
School of Biological Sciences, University of Queensland, Brisbane, Queensland 4072, Australia.
JENNIFER A. GILL
Affiliation:
School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, UK.
KEN GOSBELL
Affiliation:
Australasian Wader Studies Group, c/o 1/19 Baldwin Road, Blackburn, VIC 3130, Australia.
JAMES A. JOHNSON
Affiliation:
U.S. Fish and Wildlife Service, Migratory Bird Management, 1011 East Tudor Road, MS 201, Anchorage, Alaska 99503, USA.
ROCIO MARQUEZ-FERRANDO
Affiliation:
Department of Wetland Ecology, Estación Biológica de Doñana-CSIC, Avda Américo Vespucio s/n, 41092, Sevilla, Spain.
JOSE A. MASERO
Affiliation:
Department de Anatomy, Cell Biology and Zoology, University of Extremadura, Avenida de Elvas s/n, 06071 Badajoz, Spain.
DAVID S. MELVILLE
Affiliation:
1261 Dovedale Road, RD 2 Wakefield, Nelson 7096, New Zealand.
SPIKE MILLINGTON
Affiliation:
EAAF Partnership Secretariat, 3F Bon-dong G-Tower, 175 Art center-daero (24-4 Songdo-dong), Yeonsu-gu, Incheon 406-840, Republic of Korea.
CLIVE MINTON
Affiliation:
Australasian Wader Studies Group, c/o 165 Dalgety Road, Beaumaris, 3193 Australia.
TAEJ MUNDKUR
Affiliation:
Wetlands International, PO Box 471, 6700 AL Wageningen, The Netherlands.
ERICA NOL
Affiliation:
Department of Biology, Trent University, Peterborough, ON K9J 7B8, Canada.
HANNES PEHLAK
Affiliation:
Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Kreutzwaldi 5, Tartu 51014, Estonia.
THEUNIS PIERSMA
Affiliation:
Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, PPOP.O. Box 11103, 9700 CC Groningen, The Netherlands and NIOZ Royal Netherlands Institute for Sea Research, Department of Coastal Systems and Utrecht University, PO Box 59, 1790 AB Den Burg, Texel, The Netherlands.
FRÉDÉRIC ROBIN
Affiliation:
Ligue pour la Protection des Oiseaux, Fonderies Royales, 17300 Rochefort, France.
DANNY I. ROGERS
Affiliation:
Arthur Rylah Institute for Environmental Research, Heidelberg, Victoria, Australia.
DANIEL R. RUTHRAUFF
Affiliation:
U.S. Geological Survey, Alaska Science Center, 4210 University Dr., Anchorage, AK 99508, USA.
NATHAN R. SENNER
Affiliation:
Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, PPOP.O. Box 11103, 9700 CC Groningen, The Netherlands.
JUNID N. SHAH
Affiliation:
Environment Agency – Abu Dhabi (EAD), P.O Box: 45553 Al Mamoura Building (A), Muroor Road, Abu Dhabi, United Arab Emirates.
ROB D. SHELDON
Affiliation:
RDS Conservation, c/o 78 Riverdene Rd, Ilford, IG1 2EA, UK.
SERGEJ A. SOLOVIEV
Affiliation:
Department of Chemistry, Omsk State University, St. Prospect Mira 55a, 644077 Omsk, Russian Federation.
PAVEL S. TOMKOVICH
Affiliation:
Department of Ornithology, Zoological Museum, Moscow State University, Bolshaya Nikitskatya St., 6, 125009 Moscow, Russian Federation.
YVONNE I. VERKUIL
Affiliation:
Chair International Wader Study Group, Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, P.O. Box 11103, 9700 CC Groningen, The Netherlands.
Corresponding
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Summary

The Numeniini is a tribe of 13 wader species (Scolopacidae, Charadriiformes) of which seven are Near Threatened or globally threatened, including two Critically Endangered. To help inform conservation management and policy responses, we present the results of an expert assessment of the threats that members of this taxonomic group face across migratory flyways. Most threats are increasing in intensity, particularly in non-breeding areas, where habitat loss resulting from residential and commercial development, aquaculture, mining, transport, disturbance, problematic invasive species, pollution and climate change were regarded as having the greatest detrimental impact. Fewer threats (mining, disturbance, problematic native species and climate change) were identified as widely affecting breeding areas. Numeniini populations face the greatest number of non-breeding threats in the East Asian-Australasian Flyway, especially those associated with coastal reclamation; related threats were also identified across the Central and Atlantic Americas, and East Atlantic flyways. Threats on the breeding grounds were greatest in Central and Atlantic Americas, East Atlantic and West Asian flyways. Three priority actions were associated with monitoring and research: to monitor breeding population trends (which for species breeding in remote areas may best be achieved through surveys at key non-breeding sites), to deploy tracking technologies to identify migratory connectivity, and to monitor land-cover change across breeding and non-breeding areas. Two priority actions were focused on conservation and policy responses: to identify and effectively protect key non-breeding sites across all flyways (particularly in the East Asian- Australasian Flyway), and to implement successful conservation interventions at a sufficient scale across human-dominated landscapes for species’ recovery to be achieved. If implemented urgently, these measures in combination have the potential to alter the current population declines of many Numeniini species and provide a template for the conservation of other groups of threatened species.

Type
Research Article
Copyright
Copyright © BirdLife International 2017 

Introduction

Globally, biodiversity faces growing pressure, leading to increased extinction risk across taxa (Butchart et al. Reference Butchart, Walpole, Collen, van Strien, Scharlemann, Almond, Baillie, Bomhard, Brown, Bruno, Carpenter, Carr, Chanson, Chenery, Csirke, Davidson, Dentener, Foster, Galli, Gallloway, Genovesi, Gregory, Hockings, Kapos, Lamarque, Leverington, Loh, McGeoch, McRae, Minasyan, Hernández Morcillo, Oldfield, Pauly, Quader, Revenga, Sauer, Skolnik, Spear, Stanwell-Smith, Stuart, Symes, Tierney, Tyrrell, Vié and Watson2010). For birds, 13% of species are regarded as globally threatened with extinction, whilst a further 9% are listed as ‘Near Threatened’ (BirdLife International 2015b). Habitat loss, over-exploitation and invasive non-native species are considered the main threats facing these species, although the impacts of these threats vary between populations, and are often poorly documented or understood (BirdLife International 2010). Identifying the principal drivers of population declines is an essential precursor to any conservation action (Gibbons et al. Reference Gibbons, Wilson and Green2011), but is often challenging due to a lack of resources, ecological information, monitoring data and published research. Determining how threats affect populations can be particularly problematic for migratory species, as they face multiple threats at different stages of their annual cycle. Long-distance migrants are in particular decline globally (Robbins et al. Reference Robbins, Sauer, Greenberg and Droege1989, Sanderson et al. Reference Sanderson, Donald, Pain, Burfield and van Bommel2006, Yamamura et al. Reference Yamamura, Amano, Koizumi, Mitsuda, Taki and Okabe2009); yet 91% are inadequately protected across their annual cycle (Runge et al. Reference Runge, Watson, Butchart, Hanson, Possingham and Fuller2015).

Here, we suggest how some of the challenges that make assessing the threats facing migratory species difficult, can be overcome using an expert-based assessment of the global threats to Numeniini as an example. The Numeniini is a highly threatened paraphyletic tribe of waders or shorebirds (hereafter waders) within the suborder Scolopaci (Gibson and Baker Reference Gibson and Baker2012). The tribe occurs on all continents except Antarctica, although their breeding ranges are restricted to the Northern Hemisphere (Piersma et al. Reference Piersma, van Gils, Wiersma, del Hoyo, Elliott and Sargatal1996, Colwell Reference Colwell2010). Most species within the tribe are large-bodied with a relatively delayed age of maturity, low fecundity and high survival rates (Piersma and Baker Reference Piersma, Baker, Gosling and Sutherland2000). The tribe includes seven species of conservation concern (BirdLife International 2015b); two are listed as ‘Critically Endangered’ (Eskimo Curlew Numenius borealis and Slender-billed Curlew N. tenuirostris) of which at least the Eskimo Curlew is considered likely to be extinct (Roberts and Jarić Reference Roberts and Jarić2016), one as ‘Endangered’ (Far Eastern Curlew N. madagascariensis), one as ‘Vulnerable’ (Bristle-thighed Curlew N. tahitiensis), and three as ‘Near Threatened’ (Eurasian Curlew N. arquata, Bar-tailed Godwit Limosa lapponica and Black-tailed Godwit L. limosa). Populations of six species can be further divided into 30 separate populations or subspecies (Table 1), many of which have different requirements and migratory strategies, increasing the challenge of conservation at the species level. Populations of the same species may also be subject to contrasting pressures, and some, such as Steppe Whimbrel N. phaeopus alboaxillaris, are therefore highly threatened even if the species as a whole is not (Brown et al. Reference Brown, Crockford and Sheldon2014). Many populations are long-distance migrants, including the Bar-tailed Godwit Limosa lapponica baueri which undertakes the longest non-stop migration of any landbird (Gill et al. Reference Gill, Tibbitts, Douglas, Handel, Mulcahy, Gottschalck, Warnock, McCaffery, Battley and Piersma2009). Given that half of this tribe is of conservation concern, the main aim of this work is to understand the threats that they face around the world, taking advantage of the fact that a number of species occur in discrete populations across different flyways, in order to reduce the likelihood of future extinctions amongst the remaining species. The results of this assessment are likely to be relevant to other threatened wader and migratory species (Faaborg et al. Reference Faaborg, Holmes, Anders, Bildstein, Dugger, Gauthreaux, Heglund, Hobson, Jahn, Johnson, Latta, Levey, Marra, Merkord, Nol, Rothstein, Sherry, Sillett, Thompson and Warnock2010a,Reference Faaborg, Holmes, Anders, Bildstein, Dugger, Gauthreaux, Heglund, Hobson, Jahn, Johnson, Latta, Levey, Marra, Merkord, Nol, Rothstein, Sherry, Sillett, Thompson and Warnockb, Galbraith et al. Reference Galbraith, DesRochers, Brown and Reed2014).

Table 1. Populations used as the basis for this analysis, based upon Wetlands International (2012).

1 Although previously considered as separate subspecies or populations (Wetlands International 2012), for the purposes of this review, we considered that any differences were insufficient for them to be assessed other than as a single population.

We undertook a systematic collation of expert opinion, a process increasingly used to inform ecological analyses and conservation decision-making (O’Neill et al. Reference O’Neill, Osborn, Hulme, Lorenzoni and Watkinson2008, Kuhnert et al. Reference Kuhnert, Martin and Griffiths2010, Sutherland et al. Reference Sutherland, Alves, Amano, Chang, Davidson, Max Finlayson, Gill, Gill, González, Gunnarsson, Kleijn, Spray, Székely and Thompson2012). Whilst threat assessments have previously been conducted for some flyways and regional Numeniini populations (e.g. Boere et al. Reference Boere, Galbraith and Stroud2006, Gill et al. Reference Gill, Langston, Alves, Atkinson, Bocher, Cidraes Vieira, Crockford, Gélinaud, Groen, Gunnarsson, Hayhow, Hooijmeijer, Kentie, Kleijn, Lourenço, Masero, Meunier, Potts, Roodbergen, Schekkerman, Schröder, Wymenga and Piersma2007, Conklin et al. Reference Conklin, Verkuil and Smith2014, Hua et al. Reference Hua, Tan, Chen and Ma2015), we have extended these approaches to produce a global assessment for the group. Specifically, we combined questionnaire responses from a wide-range of international experts with a subsequent workshop discussion including representatives from five continents, to identify: (1) key threats acting upon the Numeniini tribe as a whole; (2) how these threats vary between biogeographic populations and flyways; (3) critical knowledge gaps and priorities for future research; and (4) priority conservation actions.

Methods

The Numeniini tribe is not taxonomically monophyletic, but contains ecologically similar species from two clades likely to face similar threats, and hence are considered together. The Numenius clade is basal to all other Scolopacidae (except Jacanas and allies), while Limosa is a younger group and basal to the sandpipers and allies (Gibson and Baker Reference Gibson and Baker2012). Although there remains some uncertainty over the taxonomic identity of some populations and subspecies, we used the most recent research and/or expert opinion to identify a total of 37 taxonomically distinct subspecies and biogeographic populations for assessment as part of our review (Table 1).

Assessments were conducted for each population as follows. First, a questionnaire was devised and circulated electronically to experts from around the world from July to September 2013, requesting information about the threats acting upon different populations. Threats were listed on the questionnaire in accordance with the IUCN–CMP Unified Classification of Direct Threats Version 3.2., and based on Salafsky et al. (Reference Salafsky, Salzer, Stattersfield, Hilton-Taylor, Neugarten, Butchart, Collen, Cox, Master, O’Connor and Wilkie2008), adopting a spread of first- to third-order threats as appropriate for the species group (Table 2). This ensured that all contributors considered threats in a consistent manner and that consideration was given to all potential threats. Experts were asked to separately score changes in both the scale and intensity of the threats over the last 25 years on a five point scale (-2 = strong decrease, -1 = decrease, 0 = no change, 1 = increase, 2 = strong increase), as well as the likelihood of each threat being linked to population change (0 = unlikely, 1 = possibly, 2 = strongly) and the evidence to support this assessment (1 = poor - based on expert opinion, 2 = moderate - based on correlative studies, 3 = good - based on experimental studies). Separate assessments were requested for the breeding and non-breeding stages of each population’s annual cycle. In some instances where populations are dependent on more than one geographical location/region during the non-breeding period (including on migration), assessments were provided separately for each. In total, 115 assessments were received.

Table 2. Classification of threats and their definition used in the assessment, adapted from Salafsky et al. (Reference Salafsky, Salzer, Stattersfield, Hilton-Taylor, Neugarten, Butchart, Collen, Cox, Master, O’Connor and Wilkie2008).

1 Whilst this definition was used in the questionnaire, it was highlighted in our workshop that some could have been interpreted this to have included the effects of widespread habitat destruction. As a result, we ensured that our final workshop scoring was focussed specifically on the direct effects of human disturbance upon individuals, rather than effects of habitat destruction.

The second stage was to review and discuss these scores at a one-day workshop attended by over 50 experts from around the world at the International Wader Study Group’s annual conference in Wilhelmshaven, Germany, on 30 September 2013. Prior to this event, the scores from the questionnaire were collated separately for breeding and non-breeding populations by JWPH, DJB and DJTD; where multiple responses were received for the same population, scores were averaged. At the workshop, the summarised population responses were presented and refined in plenary by one of three working groups focussed on populations confined to flyways in either the Americas; Europe, Africa and West Asia; or Asia and Oceania. In the few cases where populations spend part of their life cycles across more than one of the designated groups (e.g. Bar-tailed Godwit Limosa lapponica baueri, which breeds in Alaska, overwinters in Australia and New Zealand, then stages for a month in the Yellow Sea) the assessments were refined by both relevant groups. Each group comprised 10–20 people with expertise in each region.

The focus of these working groups was to collate the threat scores for each breeding and non-breeding population separately. At this stage, the process was simplified so that scores were obtained for the change in the threat (combining estimates of change in both scale and intensity, which respondents to the questionnaires had difficulty separating), the impact of that change upon the population of interest (-2 = strong negative impact, -1 = likely negative impact, 0 = no impact, 1 = likely positive impact, 2 = strong positive impact), and the evidence to support the impact of a threat. Scores were subsequently circulated to additional experts who were unable to attend the workshop to address any gaps and uncertainties identified. This resulted in a final set of scores for the CHANGE in the threat (-2 = strong decrease, -1 = decrease, 0 = no change, 1 = increase, 2 = strong increase), IMPACT of the change in the threat (-2 = strong negative impact, -1 = likely negative impact, 0 = no impact, 1 = likely positive impact, 2 = strong positive impact) and EVIDENCE to support the impact of the threat (1 = poor based on expert opinion, 2 = moderate based on correlative studies, 3 = good based on experimental studies) for each population and stage in the life cycle (breeding and non-breeding). Populations were assigned to one of the world’s nine major flyways (Figure 1), except for a small number of populations that span two flyways during migration, in which case two non-breeding scores were produced. We were unable to make any assessments with respect to non-breeding populations in the Central Asian Flyway; a significant knowledge gap requiring further attention (although see Szabo and Mundkur in press). When we summarised the results by flyway and life cycle stage, we used our collective knowledge to identify instances where threats were known to either primarily impact final non-breeding areas, where birds spend the majority of the Northern Hemisphere winter, or stop-over and staging locations during migration.

Figure 1. Global flyways (Wetlands International 2014) overlaid on Numeniini species richness (numbers in legend) derived from BirdLife International range polygons. White areas are outside the global range of Numeniini species. Flyways are abbreviated as follows (PA, Pacific Americas; CAm, Central Americas; AA, Atlantic Americas; EA, East Atlantic; BS, Black Sea; WAEA, West Asian; CA, Central Asian; EAA, East Asian-Australasian; WP, West Pacific).

Analysis

We first examined global patterns across all species and populations, to show how CHANGE, IMPACT and EVIDENCE scores, as response variables in separate models, varied between threats. Second, we tested evidence for consistent variation in threats between breeding and non-breeding populations, and among flyways. Third, we examined the extent to which CHANGE in, and IMPACT of, threats showed consistent seasonal variation across flyways, by testing the significance of the interaction between season and flyway.

We analysed scores for CHANGE, IMPACT and EVIDENCE using a binomial structure, which allowed estimates to be constrained by the upper and lower bounds of the scores provided. To facilitate this, we rescaled our CHANGE and IMPACT scores to vary from 0 to 8 (accounting for the small number of half-scores provided by experts), with 0 equivalent to -2, 4 to 0, and 8 to +2, and transformed our EVIDENCE scores so that they varied from 0 to 2. Each score was then modelled as a proportion of the maximum using a binomial error structure and logit link function. At the end of this process, modelled probabilities were back-transformed to reflect their original values. We used Generalised Linear Mixed Models (GLMMs) with species as a random effect to reflect the potential non-independence of scores from different populations of the same species. However, in the third analysis of flyway*season interactions, estimates of covariance attributed to random effects were very small, due to the lack of replication within combinations of flyway and season. As a result, the models failed to converge as GLMMS, so we instead used Generalised Linear Models (GLMs) without any random effects. All analysis was conducted in SAS v.9.4.

Results

Global patterns

There was significant variation in the degree of change in threats across all populations (CHANGE, F19, 1280 = 14.64, P < 0.0001; Figure 2a). Most threats were regarded as showing statistically significant increases in scale and/or intensity, with the exceptions being non-timber crops, livestock, hunting, hunting side-effects and disease. Across all populations, the impact of these threats also varied significantly (IMPACT, F19, 1280 = 5.06, P < 0.0001; Figure 2b), with strong negative (IMPACT < -0.5) scores for development, mining, transport, disturbance, pollution and climate change. At this level, there was a strong negative correlation between the change associated with threats, and the impacts of those threats (IMPACT versus CHANGE, r = -0.83, n = 20, P < 0.0001), suggesting that threats which were scored as increasing most in magnitude were also scored as having the greatest impact. There were no overall significant differences in the degree of evidence attributed to threats (F1, 19 = 0.62, P = 0.78). In most cases, the amount of evidence scored was poor (mean EVID scores range from 1.33 to 1.47 across different threats), and therefore this assessment is largely based upon expert opinion rather than published studies (see Appendix S1 in the online supplementary material for exceptions).

Figure 2. Mean (± SE) CHANGE (a) and IMPACT (b) scores across all populations. Scores represent least-square mean estimates from a GLMM model with species as a random effect. HSE - Hunting side-effects, PIS - Problematic invasive species, PNS - Problematic native species

Variation between seasons

The direction and severity of trends in threats varied significantly between breeding and non-breeding seasons (CHANGE, threat*season interaction, F19, 1260 = 6.46, P < 0.0001). Development, aquaculture, renewables, transport, fishing, disturbance, dams, drainage, problematic invasive species and pollution were regarded as having increased significantly more in non-breeding than breeding areas (Figure 3a). Conversely, threats of hunting and problematic native species increased on the breeding grounds by significantly more than non-breeding areas, although breeding season trends for hunting did not differ significantly from zero (Figure 3a). The effect of these threats upon populations also differed significantly with season (IMPACT, F19, 1260 = 3.48, P < 0.0001). The threats most strongly regarded as impacting breeding populations (mean IMPACT score < -0.5) were mining, disturbance, problematic native species and climate change. A greater number of strong impacts were identified on the non-breeding grounds (Figure 3b): development, aquaculture, mining, transport, disturbance, problematic invasive species, pollution and climate change.

Figure 3. Mean (± SE) CHANGE (a) and IMPACT (b) scores differ between breeding (dark grey) and non-breeding (light grey) areas. Estimates are from least-square means with species as a random effect. HSE - Hunting side-effects, PIS - Problematic invasive species, PNS - Problematic native species

Variation between flyways

Scored trends in threats varied among flyways (CHANGE, threat*flyway interaction, F152, 1140 = 1.68, P < 0.0001) and did not vary consistently with season among flyways (threat*season*flyway interaction, F140, 980 = 1.34, P = 0.0082). Threats were not scored as having impacts that differed among flyways (IMPACT threat*flyway interaction, F152, 1138 = 1.03, P = 0.40), or with strong differences in the seasonal effects among flyways (threat*season*flyway interaction, F140, 980 = 1.13, P = 0.15). As the CHANGE scores varied among flyways, and to reflect specific differences between them, we summarised the main threats, and their impacts on populations, separately by flyway and season. This enabled us to describe the differences that occurred, and demonstrate which threats were regarded as more important for particular flyways (Table 3). Severe threats were those whose IMPACT < -0.5, whilst moderate threats had a consistent negative impact, as shown by a score that differed significantly from zero. Threats with an impact score that did not differ significantly from zero were regarded as unimportant.

Table 3. The mean CHANGE score (arrows), indicating changes in the scale and intensity of each threat (rows), and IMPACT score (shading), indicating the likely impact of that threat being linked to population change, separately for the breeding season and non-breeding periods. Diagonal arrows and amber cells (mid grey) indicate combinations with statistically significant CHANGE and IMPACT scores respectively, regarded as moderate. Up arrows and red (dark grey) cells indicate where CHANGE > 0.5 or IMPACT < -0.5 respectively, and may therefore be regarded as severe. Green (light grey) cells and horizontal arrows indicate that IMPACT and CHANGE scores respectively did not differ significantly from zero. We were unable to make a non-breeding assessment for the Central Asian flyway. EAAF, East Asian - Australasian Flyway; PIS, problematic invasive species; PNS, problematic native species. Where we are aware of a clear separation in the non-breeding threats between migratory stop-over locations and final non-breeding locations, these are denoted by M and F respectively.

1 Threats primarily affecting migratory stop-over locations in East and South-east Asia and are coded as M, but may also affect populations for which these locations are also final non-breeding locations. The majority of populations overwinter in Australia and New Zealand, where they face fewer threats.

Breeding populations in the East Atlantic Flyway faced the greatest number of severe threats (seven); this was the only flyway where non-timber crops, plantations and dams threatened breeding populations. Species breeding in the Central Americas, Atlantic Americas and West Asian flyways were exposed to five severe threats (Table 3). Mining, hunting, disturbance, problematic native species and climate change were all regarded as severe threats across the breeding populations of at least three flyways.

More severe threats were assigned to non-breeding populations than breeding populations. Over half of the threats (11) were scored as severe across the East Asian-Australasian Flyway (EAAF), whilst populations using the Central Americas, Atlantic Americas and East Atlantic flyways were also scored as being exposed to a large number of threats (7–8). Development, aquaculture, mining, transport, fishing, disturbance, problematic invasive species and pollution were severe threats across at least five flyways. Severe negative impacts of disturbance were almost ubiquitous for non-breeding populations. Threats across the EAAF were thought to primarily affect migratory stop-over locations in East and South-East Asia, whilst the distribution of threats across other flyways was more mixed (Table 3).

Discussion

Over half of the species in the Numeniini tribe have been classified as threatened or Near Threatened, with two possibly extinct (BirdLife International 2015b), and a number of biogeographic populations and subspecies are considered highly threatened (Brown et al. Reference Brown, Crockford and Sheldon2014). Previous work has shown that global extinction risk in birds is greatest in large species with slow generation time (Gaston and Blackburn Reference Gaston and Blackburn1995, Owens and Bennett Reference Owens and Bennett2000). More detailed analyses of population trends in well-studied European populations suggests that habitat-specialists, ground-nesting species and long-distance migrants are among the species with the most negative population trends (Julliard et al. Reference Julliard, Jiguet and Couvet2003, Thaxter et al. Reference Thaxter, Joys, Gregory, Baillie and Noble2010, Sullivan et al. Reference Sullivan, Newson and Pearce-Higgins2015). Numeniini exhibit all of these traits: many are relatively large-bodied with delayed maturity and low fecundity; specialists of open, often semi-natural habitats during the breeding season and coastal habitats at other times; ground-nesting; and highly migratory. These traits must at least partially account for why so many Numeniini species are currently of conservation concern.

The small size and fragmentation of some subspecies and populations (Brown et al. Reference Brown, Crockford and Sheldon2014) also adds to their threat status; some populations are more threatened than the corresponding species. Furthermore, threats may vary widely among different populations of the same species, but overlap with other populations or subspecies sharing a migratory flyway (Table 3). For example, orientalis Eurasian Curlew populations and variegatus Whimbrel populations using the EAAF are particularly threatened by coastal development, whilst arquata Eurasian Curlew and phaeopus Whimbrel are less affected. Given that populations of some Numeniini species occupy a wide range of geographical locations, flyways and migratory strategies, conservation efforts should be targeted at improving the status of each separate population, rather than simply considering the overall status of the species. This strategy would also be resilient to any future changes in Numeniini taxonomy that may split some of the current subspecies and populations into separate species.

In an effort to identify key threats and knowledge gaps pertaining to the conservation of these species, we created an expert-based assessment that collated and scored threats acting upon individual species and populations across flyways. Globally, this assessment identified residential and commercial development, mining, transport, disturbance, pollution and climate change as having the greatest impacts overall, although the primary threats differed considerably between breeding and non-breeding areas, and among flyways. These seasonal differences likely relate to the long distances between breeding and non-breeding areas, or differences in the habitat associations of Numeniini during the breeding and non-breeding seasons. Many Numeniini breed across large areas of less-intensively managed wetland, upland or tundra habitats, while they often spend the non-breeding period concentrated in coastal areas in temperate and tropical zones that are subject to very different pressures. Some non-breeding threats also differed between migratory stop-over locations and final non-breeding locations, largely in relation to the amount of geographical separation between them. This was most apparent within the EAAF flyway where many populations winter in Australia and New Zealand but stage in the Yellow Sea during their spring migration (e.g. Little Curlew Numenius minutus, Far Eastern Curlew, baueri Bar-tailed Godwit), whilst in other flyways, such as the East Atlantic, staging and non-breeding locations tended to be less discrete (Table 1).

Populations occupying American and Afro-Eurasia flyways are threatened by a mix of breeding and non-breeding season threats which are likely to affect both breeding success and mortality. Populations using the EAAF and West Pacific flyways are threatened largely by non-breeding threats most likely to alter mortality, although these pressures may also influence breeding success through carry-over effects (Gunnarsson et al. Reference Gunnarsson, Gill, Newton, Potts and Sutherland2005, Alves et al. Reference Alves, Gunnarsson, Hayhow, Appleton, Potts, Sutherland and Gill2013 but see also Senner et al. Reference Senner, Hochachka, Fox and Afanasyev2014, Reference Senner, Conklin and Piersma2015). Given that Numeniini species generally have delayed maturity, high survival and low fecundity (Piersma and Baker Reference Piersma, Baker, Gosling and Sutherland2000), populations are likely most sensitive to variation in mortality rates (Sæther and Bakke Reference Sæther and Bakke2000), although they may also be sensitive to reductions in fecundity that limit their ability to recover from mortality-driven declines (Robinson et al. Reference Robinson, Morrison and Baillie2014). To illustrate this, the 46% decline in Eurasian Curlew populations in the UK (Harris et al. Reference Harris, Massimino, Newson, Eaton, Balmer, Noble, Musgrove, Gillings, Procter and Pearce-Higgins2015) has occurred despite high and increased adult survival rates resulting from a cessation of hunting (Taylor and Dodd Reference Taylor and Dodd2013). Similarly, the ongoing decline of the continental Black-tailed Godwit populations is due to recruitment failure as a consequence of the intensification of grassland management leading to increased egg losses (Kentie et al. Reference Kentie, Both, Hooijmeijer and Piersma2015) and chick mortality (Kentie et al. Reference Kentie, Hooijmeijer, Trimbos, Groen and Piersma2013).

Whilst important differences in threats between flyways were identified, a greater number of similarities were apparent, which are discussed below. When doing so, we recognize that the evidence base underpinning this expert assessment is limited. For instance, despite considerable effort to include participants from across the globe, we were unable to report on threats to non-breeding populations using the Central Asian flyway (where declines of Numeniini and other waders are thought to be occurring due to rapid coastal development, e.g. Balachandran Reference Balachandran, Boere, Galbraith and Stroud.2006, Szabo and Mundkur in press), and we received greater input for some flyways (e.g. the three Americas flyways and the East Atlantic flyway) than others. We cannot therefore exclude the possibility that some of the geographic variation in our assessment may reflect limitations in our own knowledge. As a result, we have also provided a post-hoc assessment of the peer-reviewed scientific evidence in support of the threats identified. This has helped us to identify subsequent research priorities.

Many of the published studies examined only individual threats. Studies that quantify the relative magnitude of the impact of different threats upon population trends have been published for only a limited number of populations (e.g. Gill et al. Reference Gill, Langston, Alves, Atkinson, Bocher, Cidraes Vieira, Crockford, Gélinaud, Groen, Gunnarsson, Hayhow, Hooijmeijer, Kentie, Kleijn, Lourenço, Masero, Meunier, Potts, Roodbergen, Schekkerman, Schröder, Wymenga and Piersma2007, Schroeder et al. Reference Schroeder, Piersma, Groen, Hooijmeijer, Kentie, Lourenço, Schekkerman and Both2012, Douglas et al. Reference Douglas, Bellamy, Stephen, Pearce-Higgins, Wilson and Grant2014, Kentie et al. Reference Kentie, Both, Hooijmeijer and Piersma2014, Duijns et al. Reference Duijns, van Gils, Smart and Piersma2015). Although individual populations of a number of species are the subject of detailed and long-term study (e.g. Gill et al. Reference Gill, Norris, Potts, Gunnarsson, Atkinson and Sutherland2001b, Kleijn et al. Reference Kleijn, Schekkerman, Dimmers, Van Kats, Melman and Teunissen2010), and the deployment of tracking devices has revolutionised our understanding of the seasonal distribution and habitat requirements of a range of species (e.g. Ueta et al. Reference Ueta, Antonov, Artukhin and Parilov2002, Battley et al. Reference Battley, Warnock, Tibbitts, Gill, Piersma, Hassell, Douglas, Mulcahy, Gartrell, Schuckard, Melville and Riegen2012, Hooijmeijer et al. Reference Hooijmeijer, Senner, Tibbitts, Gill, Douglas, Bruinzeel, Wymenga and Piersma2013, Senner et al. Reference Senner, Hochachka, Fox and Afanasyev2014), there is an urgent need for quantitative assessments of the relative importance of different drivers of population change for as many populations as possible.

Disturbance

Combined across all populations, human intrusion and disturbance was regarded as the most severe threat, particularly for non-breeding populations. Whilst there is evidence that disturbance can have localised impacts on the distribution of breeding birds (Pearce-Higgins et al. Reference Pearce-Higgins, Beale, Wilson and Bonn2006, Holm and Laursen Reference Holm and Laursen2009), the scale of such disturbance in the breeding season currently appears unlikely to be extensive enough to have population-level impacts. Many Numeniini populations have large and remote breeding ranges that are likely to be subject to little or no disturbance. However, for species such as Eurasian Curlew and Black-tailed Godwit that extensively use farmed landscapes, or for populations that rely on a small number of key pre- or post-breeding sites, disturbance could potentially have a population-level impact.

Although it can be difficult to study, disturbance can affect the behaviour and distribution of individuals at staging and non-breeding sites, but there is so far little evidence it is having strong negative impacts on populations (e.g. Gill et al. Reference Gill, Norris and Sutherland2001a, Finn et al. Reference Finn, Catterall and Driscoll2007, Peters and Otis Reference Peters and Otis2007, Yasué et al. Reference Yasué, Dearden and Moore2008). Despite having a high IMPACT score for non-breeding habitats, published evidence suggests that disturbance will affect wader populations only if it significantly reduces the utility of a high proportion of potential sites or affects a large number of individuals by preventing them from accessing undisturbed locations (Peters and Otis Reference Peters and Otis2007), thereby reducing food intake (Gill et al. Reference Gill, Norris and Sutherland2001a), increasing energetic costs (Rogers et al. Reference Rogers, Piersma and Hassell2006) or predation risk (Liley and Sutherland Reference Liley and Sutherland2007). Whilst disturbance is widely regarded as a potential threat, the majority of published peer-reviewed studies do not appear to support this judgement. Either we have over-estimated the importance of disturbance or an insufficient number of studies have been conducted in parts of the world where key sites are heavily disturbed. Reassuringly, our expert assessment did recognise the tension between our categorisation and the peer-reviewed literature, and acknowledged the evidence regarding the impact of disturbance is ‘poor’ in all cases (Appendix S1). Nonetheless, given the rapid and widespread increase in the level of disturbance, there is an urgent need to resolve this uncertainty.

Development

Residential and commercial development, drilling, mining and quarrying, and the construction of transportation and service corridors were regarded as having widespread and severe impacts on populations, especially in coastal non-breeding areas where they can result in significant changes in land use. In addition to the direct effects on habitat availability, roads can reduce the local density of breeding waders in surrounding fields (Reijnen and Foppen Reference Reijnen and Foppen1997, Melman et al. Reference Melman, Schotman, Hunink and de Snoo2008, Fikenscher et al. Reference Fikenscher, Hooijmeijer, Kentie and Piersma2015) leading to population level impacts when a high proportion of a population’s breeding range is intersected by roads. Similarly, construction activity, whether associated with coastal development (Burton et al. Reference Burton, Rehfisch and Clark2002) or renewable energy (Pearce-Higgins et al. Reference Pearce-Higgins, Stephen, Douse and Langston2012), can have a localised impact on both breeding and non-breeding populations, with displaced birds likely to suffer increased mortality when they settle elsewhere (Burton et al. Reference Burton, Rehfisch, Clark and Dodd2006). Furthermore, these studies suggest that where there is significant overlap between disturbance, habitat loss and habitat conversion, there is the potential for significant population-level impacts to occur.

The potential severity of these impacts is illustrated by recent trends in the Yellow Sea where 28% of intertidal habitats have been lost since the 1980s (Yang et al. Reference Yang, Chen, Barter, Piersma, Zhou, Li and Zhang2011, Murray et al. Reference Murray, Clements, Phinn, Possingham and Fuller2014, Ma et al. Reference Ma, Melville, Liu, Chen, Yang, Ren, Zhang, Piersma and Li2014), likely leading to population declines in 22 of 25 migratory shorebird species using the EAAF (Hua et al. Reference Hua, Tan, Chen and Ma2015). The remaining tidal flats are increasingly degraded (Melville et al. Reference Melville, Chen and Ma2016), potentially preceding further loss and population decline (Conklin et al. Reference Conklin, Lok, Melville, Riegen, Schuckard, Piersma and Battley2016, Piersma et al. Reference Piersma, Lok, Chen, Hassell, Yang, Boyle, Slaymaker, Chan, Melville, Zhang and Ma2016). The high rate of change in the Yellow Sea, coupled with the fact that these threats were regarded as strongly increasing across the Pacific Americas, Central Americas and West Asian flyways, and during the non-breeding period in the Central Asian flyway (Szabo and Mundkur in press), means that residential and commercial development must be regarded as one of the strongest and most severe threats facing Numeniini, with negative impacts on adult survival having now been documented (Piersma et al. Reference Piersma, Lok, Chen, Hassell, Yang, Boyle, Slaymaker, Chan, Melville, Zhang and Ma2016, Conklin et al. Reference Conklin, Lok, Melville, Riegen, Schuckard, Piersma and Battley2016).

Pollution

Although there is little evidence (and few studies) of the direct effects of pollution on wader species (Currie and Valkama Reference Currie and Valkama1998), increasing levels of pollution is one of the threats contributing to the deterioration of the environment in the Yellow Sea (Barter Reference Barter2002, Murray et al. Reference Murray, Ma and Fuller2015, Hua et al. Reference Hua, Tan, Chen and Ma2015, Melville et al. Reference Melville, Chen and Ma2016). Pollution has already resulted in algal blooms and the de-oxygenation of parts of the region, likely impacting the prey base for waders en route to their Arctic breeding grounds (Lopez et al. Reference Lopez, Pardal and Marques2000). Increases in pollution frequently occur in conjunction with a number of land-use practices (e.g. land reclamation, development, transport, mining, agriculture and aquaculture) that contribute to a general deterioration of habitat availability and quality. Industrial activity along highly developed parts of the Yellow Sea coastline makes pollution a component of the suite of threats facing birds in the region (Barter Reference Barter2002, Yang et al. Reference Yang, Chen, Barter, Piersma, Zhou, Li and Zhang2011, Melville Reference Melville2015). Elsewhere, where populations rely heavily on agricultural habitats, such as rice fields in Europe, Africa and the Americas, Numeniini may also be exposed to chemical contamination with uncertain impacts (Strum et al. Reference Strum, Hooper, Johnson, Lanctot, Zaccagnini and Sandercock2010, Odino Reference Odino2014, Dias et al. Reference Dias, Blanco, Goijman and Zaccagnini2014).

Terrestrial land-use change and predation

The effects of agricultural and forestry intensification and expansion appeared to be less important than other development pressures, with some notable exceptions: across Europe, a large number of studies have identified negative impacts resulting from agricultural intensification on Black-tailed Godwit and Eurasian Curlew populations. For instance, the increased frequency of mowing and introduction of high stocking densities in agricultural grasslands increase both nest and chick mortality, whilst practices employed to enhance grass growth (drainage, reseeding, high levels of fertiliser inputs, rolling) reduce the quality of breeding habitats and diminish the growth rates of pre-fledging chicks. Combined, these effects have led to population declines (Berg Reference Berg1992, Reference Berg1994, Kruk et al. Reference Kruk, Noordervllet and ter Keurs1997, Schekkerman et al. Reference Schekkerman, Teunissen and Oosterveld2008, Reference Schekkerman, Teunissen and Oosterveld2009, Kentie et al. Reference Kentie, Hooijmeijer, Trimbos, Groen and Piersma2013, Reference Kentie, Both, Hooijmeijer and Piersma2014). Similarly, the transition across much of Europe from hay meadows with a single cut, to silage with multiple cuts in a season, has turned many previously suitable grassland habitats into population sinks (Schekkerman et al. Reference Schekkerman, Teunissen and Oosterveld2008, Reference Schekkerman, Teunissen and Oosterveld2009). Large declines in breeding waders in Russia and northern Kazakhstan since the mid-20th century have also likely been driven by the conversion of virgin steppe into agriculture habitats (Morozov Reference Morozov2000, Soloviev Reference Soloviev2005, Reference Soloviev and Vartapetov2012). Similar increases in the intensity of grazing and burning management in North America may also affect breeding populations there (Cochran and Anderson Reference Cochran and Anderson1987, Sandercock et al. Reference Sandercock, Alfaro-Barrios, Casey, Johnson, Mong, Odom, Strum and Winder2015). It is worth noting, however, that extensive grazing management can be an important tool to maintain appropriate condition for some Numeniini species by promoting heterogeneous semi-natural open habitats (e.g. Pearce-Higgins and Grant Reference Pearce-Higgins and Grant2006, Sandercock et al. Reference Sandercock, Alfaro-Barrios, Casey, Johnson, Mong, Odom, Strum and Winder2015). Determining the proper balance between the need to actively manage these habitats and the economic considerations of local landowners is a key conservation goal for the conservation of temperate breeding Numeniini.

Woodland or plantation forestry may have direct negative impacts through the loss and fragmentation of open breeding habitats (Ratcliffe Reference Ratcliffe2007). It is also indirectly associated with population declines by driving increases in the abundance of avian and mammalian predators, which lead to a reduction in nesting success and local breeding population declines (Valkama et al. Reference Valkama and Currie1999, Pearce-Higgins et al. Reference Pearce-Higgins, Grant, Beale, Buchanan, Sim, Bonn, Allot, Hubacek and Stewart2009a, Douglas et al. Reference Douglas, Bellamy, Stephen, Pearce-Higgins, Wilson and Grant2014). More broadly, there is strong evidence that high populations of generalist predators, in particular red foxes Vulpes vulpes (Berg Reference Berg1992, Grant Reference Grant1997, Valkama and Currie Reference Valkama and Currie1999, Grant et al. Reference Grant, Orsman, Easton, Lodge, Smith, Thompson, Rodwell and Moore1999) and Ravens Corvus corax (Ballantyne and Nol Reference Ballantyne and Nol2011) may limit populations, although in the UK, Raven population increases were not strongly associated with wader population declines (Amar et al. Reference Amar, Redpath, Sim and Buchanan2010). Although much of this evidence is from Europe, the loss of open habitats and agricultural intensification may also impact some North American breeding populations (Cochran and Anderson Reference Cochran and Anderson1987). The deterioration of open breeding habitats thus appears to be the main threat facing temperate breeding populations across Europe and North America. These threats do not appear to be affecting other flyway populations to the same extent, potentially as the breeding populations of other species overlap less with areas of significant land-use change, or are more remote, and thus have a weaker evidence base (but see Senner et al. Reference Senner, Stager and Sandercock2017).

Climate change impacts and mitigation

Climate change is regarded as being an increasing threat and having a significant impact across Central Americas, Atlantic Americas and East Atlantic flyways, and to be moderately increasing across the two Pacific flyways. For instance, Numeniini may be especially sensitive to alterations to the phenology and abundance of food resources during the breeding season (Pearce-Higgins Reference Pearce-Higgins2010, Leito et al. Reference Leito, Elts, Mägi, Truu, Ivask, Kuu, Ööpik, Meriste, Ward, Kuresoo, Pehlak, Sepp, Sepp and Luigejõe2014, Senner et al. Reference Senner, Stager and Sandercock2017), although as yet, few breeding population changes having been quantitatively linked to climate change through these mechanisms (Senner Reference Senner2012, Senner et al. Reference Senner, Stager and Sandercock2017). Nevertheless, changes in woody plant distribution in the Arctic may already account for some localised population displacement of Arctic-nesting Whimbrel (Ballantyne and Nol Reference Ballantyne and Nol2015) and could potentially impact the southerly limit of populations more broadly in the future (Miller et al. Reference Miller, Nol, Nguyen and Turner2014). An upwards shift in the altitudinal distribution of Eurasian Curlew breeding in the UK has also been documented (Massimino et al. Reference Massimino, Johnston and Pearce-Higgins2015). There is evidence from the Netherlands that the impacts of climate change on breeding Black-tailed Godwits may be manifest through the combined impacts of temperature and agricultural management upon sward height and the timing of mowing (Kleijn et al. Reference Kleijn, Schekkerman, Dimmers, Van Kats, Melman and Teunissen2010).

Away from the breeding grounds, habitat loss due to sea-level rise may have a significant impact on the availability of suitable non-breeding stop-over locations, particularly for species dependent on intertidal mudflats or other low-lying areas (Mustin et al. Reference Mustin, Sutherland and Gill2007, Galbraith et al. Reference Galbraith, DesRochers, Brown and Reed2014, Iwamura et al. Reference Iwamura, Fuller and Possingham2014). The impact of rising sea-level is likely to be highly site-dependent, as a result of fine-scale variation in topography and the human approach to coastal defence (Galbraith et al. Reference Gailbraith, Jones, Park, Clough, Herrod-Julius, Harrington and Page2002), and may have varied and relatively subtle impacts on different Numeniini species depending upon the resulting changes in estuary sediment-type and productivity (Austin and Rehfisch Reference Austin and Rehfisch2003). For example, it is likely that the seawall constructed along much of the Chinese coast will reduce the resilience of coastal habitats in the Yellow Sea to sea-level rise (Ma et al. Reference Ma, Melville, Liu, Chen, Yang, Ren, Zhang, Piersma and Li2014).

During migration, changes in wind patterns and climatic conditions may also affect the phenology of individuals within populations. For example, individual baueri Bar-tailed Godwits are reliant on favourable wind conditions for successful migration. This population may therefore be highly vulnerable to changes in global weather patterns resulting from climate change (Gill et al. Reference Gill, Alves, Sutherland, Appleton, Potts and Gunnarsson2014). There is also evidence that recent climatic changes during migration may be constraining the ability of Hudsonian Godwits Limosa haemastica to return to their breeding grounds at Churchill, Manitoba (Senner Reference Senner2012), causing them to mistime their breeding relative to local environmental phenology (Senner et al. Reference Senner, Stager and Sandercock2017). Although this has not been demonstrated yet in other species, given the importance of breeding phenology as a mechanism for driving a cascade of population-level responses in some species (Gill et al. Reference Gill, Alves, Sutherland, Appleton, Potts and Gunnarsson2014), such impacts may affect many populations.

Increasing renewable energy development, such as wind farms, may also be a potential threat throughout the annual cycle, particularly for the East Atlantic and EAAF flyways. There is evidence for impacts of onshore wind farms on breeding Eurasian Curlew populations (Pearce-Higgins et al. Reference Pearce-Higgins, Stephen, Langston, Bainbridge and Bullman2009b, Reference Pearce-Higgins, Stephen, Douse and Langston2012), and potential for tidal barrages to affect passage or wintering wader populations (Clark Reference Clark2006). However, as with other human developments, unless these overlap with a significant proportion of flyway populations, they are unlikely to have a significant, population-level impact (Pearce-Higgins and Green Reference Pearce-Higgins and Green2014). Given the importance of individual estuaries for particular populations (e.g. 42% of the baueri Bar-tailed Godwit and 20 % of the Far Eastern Curlew population occurring at a single site in the Yellow Sea; Bai et al. Reference Bai, Chen, Chen, Dong, Dong, Dong, Fu, Han, Lu, Li, Liu, Lin, Meng, Martinez, Ni, Shan, Sun, Tian, Wang, Xu, Yu, Ying, Yang, Zhang, Zhang and Zeng2015, Choi et al. Reference Choi, Battley, Potter, Rogers and Ma2015), the deployment of tidal barrages or large wind farms for renewable energy generation could have significant impacts upon particular populations. For example, the Dongsha Shoals off the Jiangsu coast, China, could support 40,000 turbines and pose a risk to these species through potential collisions and barrier effects (Melville et al. Reference Melville, Chen and Ma2016).

Hunting and harvesting

As a group, Numeniini have long been affected by hunting (Gerasimov et al. Reference Gerasimov, Artukhin and Gerasimov1997, Barbosa Reference Barbosa2001, Graves Reference Graves2010) and adult survival increases when hunting bans are implemented (Taylor and Dodd Reference Taylor and Dodd2013, Watts et al. Reference Watts, Reed and Turrin2015). In the present study, hunting was regarded as a threat to some North American and Asian breeding populations, although there was considerable uncertainty about its severity and continued consequences (Page and Gill Reference Page and Gill1994). Hunting is still permitted in some European countries and can be significant; in France an estimated 10,000–15,000 Black-tailed Godwits were hunted per annum until a recent moratorium (Trolliet Reference Trolliet2014). As hunting can still significantly impact wader populations (Zöckler et al. Reference Zöckler, Syroechkovskiy and Atkinson2010), the need to quantify its potential impact for Numeniini, and to introduce and enforce control measures where evidence of sustainable take cannot be demonstrated, is likely to be urgent.

Along the Chinese coast, there is a significant amount of wader by-catch in fishing nets which may be killing tens of thousands of waders per year (Melville et al. Reference Melville, Chen and Ma2016). In addition, unregulated harvesting of shellfish and expansion of the aquaculture industry is likely to further reduce non-breeding survival rates there. Certainly, excessive harvesting of shellfish in the UK and The Netherlands has been associated with reductions in Eurasian Curlew survival rates (Taylor and Dodd Reference Taylor and Dodd2013), as well as impacts on other wader species (Atkinson et al. Reference Atkinson, Clark, Dodd and Moss2005, van Gils et al. Reference van Gils, Piersma, Dekinga, Spaans and Kraan2006).

Conclusions

We have provided a summary of the best available knowledge of the threats to this group of declining migratory waders. By collating expert assessments from across the world, we have identified some important patterns and contrasts among flyways and life-stages to help shape future conservation action. We have also explicitly acknowledged key knowledge gaps to prioritise future research and monitoring needs. This approach could be usefully adopted for other groups of declining species, such as other shorebirds and long-distance migratory passerines, in order to gain further insights into the causes of their decline.

Globally, the greatest threats facing Numeniini populations appear to be large-scale development of key passage and non-breeding sites in coastal areas across East Asia, Europe and the Americas. Although there is some evidence that population trends of some species across these flyways have been in decline for many decades (Department of the Environment 2015), these threats have recently been identified as affecting a wide range of wader species, and require urgent action, particularly in the EAAF (Sutherland et al. Reference Sutherland, Alves, Amano, Chang, Davidson, Max Finlayson, Gill, Gill, González, Gunnarsson, Kleijn, Spray, Székely and Thompson2012, Murray et al. Reference Murray, Clements, Phinn, Possingham and Fuller2014, Hua et al. Reference Hua, Tan, Chen and Ma2015, Piersma et al. Reference Piersma, Lok, Chen, Hassell, Yang, Boyle, Slaymaker, Chan, Melville, Zhang and Ma2016). Similar rates of rapid development could occur at important stop-over and non-breeding sites outside of the EAAF and could be assessed using a combination of remote sensing techniques and field-surveillance (Murray et al. Reference Murray, Clements, Phinn, Possingham and Fuller2014). In the face of such rapid land-use change, the long-term persistence of threatened populations using these areas may critically depend upon the remaining key sites being identified, protected and managed. Additionally, in poorly surveyed or inaccessible regions, key sites could be identified through the large-scale deployment of new technologies, such as satellite tracking (e.g. Battley et al. Reference Battley, Warnock, Tibbitts, Gill, Piersma, Hassell, Douglas, Mulcahy, Gartrell, Schuckard, Melville and Riegen2012). Identifying and protecting key non-breeding sites from unsustainable development around the world is the highest priority action identified by this assessment.

Significant land-use change on the breeding grounds, particularly through agricultural intensification, which is being exacerbated by increasing populations of generalist predators, appears to be the main threat identified in Europe, and may also affect some North American species. These impacts are probably not so widespread as on the non-breeding grounds, because many Numeniini breed across less-intensively managed wetland, upland or tundra habitats. However, there is the potential for significant impacts to increase across these breeding habitats if they are drained or developed further, or if human expansion into these areas results in significant increases in generalist predator populations. Given the relatively restricted range of some subarctic breeding Numeniini to areas close to the treeline, shrub and tree encroachment and subsequent increases in predator populations could also be a major threat, even in more remote regions. Population monitoring should be prioritised if these threats are to be identified in a timely manner. This will be challenging for species that occupy extensive or remote regions at low densities, and may be best achieved where individuals are concentrated at key non-breeding locations (e.g. Clark et al. Reference Clark, Robinson, Clark and Atkinson2004, Beale et al. Reference Beale, Dodd and Pearce-Higgins2006, Senner and Angulo-Pratalongo Reference Senner and Angulo-Pratalongo2013). In many such instances, in order to effectively link winter and breeding areas, remote tracking of individuals will be required (e.g. Johnson et al. Reference Johnson, Perz, Nol and Senner2016). This could be particularly useful for the West Asian flyway, where there is a high degree of uncertainty in our assessment of threats to the region’s breeding populations, and other particularly poorly known populations, such as alboaxillaris Whimbrel and Asian populations of limosa Black-tailed Godwit.

The open availability of satellite imagery provides valuable opportunities to identify environmental change across extensive breeding areas (Turner et al. Reference Turner, Rondinini, Pettorelli, Mora, Leidner, Szantoi, Buchanan, Dech, Dwyer, Herold, Koh, Leimgruber, Taubenboeck, Wegmann, Wikelski and Woodcock2015). For many Numeniini, it will probably be necessary to combine multiple monitoring efforts including censuses at non-breeding sites, satellite tracking to establish migratory connectivity, and remote sensing of habitat change, to generate a complete picture of their conservation status. Where possible, more detailed demographic monitoring of sample populations could complement such surveillance, enabling population vital rates to be identified, and highlighting where and when in the annual cycle bottlenecks occur (e.g. Robinson et al. Reference Robinson, Morrison and Baillie2014, Rakhimberdiev et al. Reference Rakhimberdiev, van den Hout, Brugge, Spaans and Piersma2015, Piersma et al. Reference Piersma, Lok, Chen, Hassell, Yang, Boyle, Slaymaker, Chan, Melville, Zhang and Ma2016).

In addition to site-protection and monitoring needs, this study has also emphasised that where species still occur in heavily modified landscapes, such as across much of Europe, many wader populations are declining (BirdLife International 2015a), and may require significant conservation management to persist. This could include the control of predators or non-lethal management of predation risk (Fletcher et al. Reference Fletcher, Aebischer, Baines, Foster and Hoodless2010) and the adoption of relevant agri-environment scheme measures (Smart et al. Reference Smart, Wotton, Dillon, Cooke, Diack, Drewitt, Grice and Gregory2014). While the evidence for agri-environment schemes benefiting waders is mixed (O’Brien and Wilson Reference O’Brien and Wilson2011, Kentie et al. Reference Kentie, Both, Hooijmeijer and Piersma2015), there is an urgent need to identify and implement the most effective actions more widely. Achieving tangible conservation success at the national or international scale will likely require dedicated programmes targeting species at risk. For example, the Eurasian Curlew is now considered the UK’s highest conservation priority bird species by some, and the subject of a major recovery programme bringing together research, advocacy and conservation delivery (Brown et al. Reference Brown, Wilson, Douglas, Thompson, Foster, McCulloch, Phillips, Stroud and Whitehead2015). Robust monitoring of populations would help to measure the success of any conservation interventions.

A combination of site protection, active management, population monitoring and individual tracking, which could be facilitated through specific recovery programmes, should reduce the likelihood of extinction of the remaining Numeniini populations and species. Given the multitude of threats most populations face across large geographic regions, this will probably best be achieved by coordination through intergovernmental treaties such as the Convention on Migratory Species (CMS) and Ramsar, or flyway-specific treaties such as the Agreement on the Conservation of African-Eurasian Migratory Waterbirds (AEWA), Western Hemisphere Shorebird Reserve Network (WSHRN) and the East Asian-Australasian Flyway Partnership (EAAFP) to generate the political will, international collaboration and conservation resourcing required to be effective. The long-term future of these populations may ultimately depend upon whether sufficient international efforts can be focussed to enable the necessary monitoring, research and conservation actions to be implemented rapidly across each species’ and population’s annual cycle.

Supplementary Material

To view supplementary material for this article, please visit https://doi.org/10.1017/S0959270916000678

Acknowledgements

We are grateful to all those experts who in addition to the authors, submitted questionnaire responses, and which provided the foundation of the subsequent scoring and assessment: Brad Andres, Aleksey I. Antonov, Antonio Araújo, Yves Aubry, Jon Bart, Phil Battley, Heinrich Belting, Natalie Busch, Emmanuel Caillot, Simba Chan, Nigel Clark, Rob Clemens, Olivia Crowe, Ian Davidson, Victor Degtyaryev, Simon Delany, Sergey Dereliev, Anita Donaghy, Dmitry Dorofeev, Guillermo J. Fernández Aceves, Ysbrand Galama, Gerrit Gerritsen, Robert Gill Jr, Sundev Gombobaatar, Patricia M. González, Cheri Gratto-Trevor, Tómas Grétar Gunnarsson, Jorge Sanchez Gutierrez, Meredith Gutowski, Jannik Hansen, Hermann Hötker, Eve Iversen, Sharif Jbour, Angharad Jones, Lilja Jóhannesdóttir, Stephanie Jones, Ian Karika, Peter Köhler, Borgný Katríndóttir, Fedor Kazansky, David Kleijn, Jan Kube, Arne Lesterhuis, Jutta Leyrer, Golo Maurer, Pat Minton, Vladimir Morozov, Szabolcs Nagy, Mark O’Brien, Gerenda Olsthoorn, Cynthia Pekarik, Allan Perkins, Alfonso Duarte los Res Roda, Philippe Raust, Marc van Roomen, Phillip Round, Thijs Sanderink, Brett Sandercock, Gregor Scheiffarth, Stan Senner, Paul Allan Smith, Julie Paquet, Fletcher Smith, Kristine Sowl, Fernando Spina, Colin Studds, David Stroud, David Tate, Lee Tibbitts, Ivo Walsmit, Nils Warnock, Jim Wilson, Eddy Wymenga, Alexander Yurlov, Yuri Zharikov, and Leo Zwarts. We also thank the International Wader Study Group for assisting us with the hosting of the one-day workshop in Wilhelmshaven, Germany, on 30th September 2013. Any use of trade names is for descriptive purposes only and does not imply endorsement by the U.S. Government. This research received no specific grant from any funding agency, commercial or not-for-profit sectors.

References

Alves, J. A., Gunnarsson, T. G., Hayhow, D. B., Appleton, G. F., Potts, P. M., Sutherland, W. J. and Gill, J. A. (2013) Costs, benefits and fitness consequences of different migratory strategies. Ecology 94: 1117.CrossRefGoogle Scholar
Amar, A., Redpath, S., Sim, I. and Buchanan, G. (2010) Spatial and temporal associations between recovering populations of common raven Corvus corax and British upland wader populations. J. Appl. Ecol. 47: 253262.CrossRefGoogle Scholar
Atkinson, P. W., Clark, N. A., Dodd, S. G. and Moss, D. (2005) Changes in fisheries practices and oystercatcher survival, recruitment and body mass in a marginal cockle fishery. Ardea 93: 199212.Google Scholar
Austin, G. E. and Rehfisch, M. M. (2003) The likely impact of sea level rise on waders (Charadrii) wintering on estuaries. J. Nat. Cons. 11: 4358.CrossRefGoogle Scholar
Bai, Q., Chen, J., Chen, Z., Dong, G., Dong, J., Dong, W., Fu, V. W. K., Han, Y., Lu, G., Li, Y., Liu, Y., Lin, Z., Meng, D., Martinez, J., Ni, G., Shan, K., Sun, R., Tian, S., Wang, F., Xu, Z., Yu, Y.-T., Ying, J., Yang, Z., Zhang, L., Zhang, M., Zeng, X. and China Coastal Waterbirds Census Group (2015) Identification of coastal wetlands of international importance for waterbirds: a review of China Coastal Waterbird Surveys 2005–2013. Avian Res. 6: 12.CrossRefGoogle Scholar
Balachandran, S. (2006) The decline in wader populations along the east coast of India with special reference to Point Calimere, south-east India. Pp. 296301 in Boere, C., Galbraith, C. A. and Stroud., D. A., eds. Waterbirds around the world. Edinburgh, UK: The Stationery Office.Google Scholar
Ballantyne, K. and Nol, E. (2011) Nesting habitat selection and hatching success of Whimbrels near Churchill, Manitoba, Canada. Waterbirds 34: 151159.CrossRefGoogle Scholar
Ballantyne, K. and Nol, E. (2015) Localized habitat change near Churchill, Manitoba and the decline of nesting Whimbrels (Numenius phaeopus). Polar Biol. 38: 529537.CrossRefGoogle Scholar
Barbosa, A. (2001) Hunting impacts on waders in Spain: effects of species protection measures. Biodivers. Conserv. 10: 17031709.CrossRefGoogle Scholar
Barter, M. A. (2002) Shorebirds of the Yellow Sea: Importance, threats and conservation status. Canberra, Australia: Wetlands International. (Global Series 9, International Wader Studies 12).Google Scholar
Battley, P. F., Warnock, N., Tibbitts, T. L., Gill, R. E. Jr, Piersma, T., Hassell, C. J., Douglas, D. C., Mulcahy, D. M., Gartrell, B. D., Schuckard, R., Melville, D. S. and Riegen, A. C. (2012) Contrasting extreme long-distance migration patterns in bar-tailed godwits Limosa lapponica . J. Avian Biol. 43: 2132.CrossRefGoogle Scholar
Beale, C. M., Dodd, S. and Pearce-Higgins, J. W. (2006) Wader recruitment indices suggest nesting success is temperature-dependent in Dunlin Calidris alpina . Ibis 148: 405410.CrossRefGoogle Scholar
Berg, A. (1992) Factors affecting nest-site choice and reproductive success of Curlews Numenius arquata on farmland. Ibis 132: 4451.Google Scholar
Berg, A. (1994) Maintenance of populations and causes of population changes of curlews Numenius arquata breeding on farmland. Biol. Conserv. 67: 233238.CrossRefGoogle Scholar
BirdLife International (2010) The BirdLife checklist of the birds of the world, with conservation status and taxonomic sources. Version 3. Downloaded from http://www.birdlife.info/docs/SpcChecklist/Checklist_v3_June10.zip.
BirdLife International (2015a) European Red List of Birds. Luxembourg: Office for Official Publications of the European Commission.
BirdLife International (2015b) IUCN Red List for birds. Downloaded from http://www.birdlife.org on 12/11/2015.
Boere, G. C., Galbraith, C. A. and Stroud, D. A. (2006) Waterbirds around the world. Edinburgh, UK: The Stationery Office.Google Scholar
Brown, D., Crockford, N. and Sheldon, R. (2014) Drivers of population change and conservation priorities for the Numeniini populations of the world. Conservation statements for the 13 species and 38 biogeographic populations of curlew, godwits and the upland sandpiper. UNEP/CMS/COP11/Inf.33. Available at www.cms.int/en/document/conservation-statements-numeniini-species.
Brown, D., Wilson, J., Douglas, D., Thompson, P., Foster, S., McCulloch, N., Phillips, J., Stroud, D. and Whitehead, S. (2015) The Eurasian Curlew – the most pressing bird conservation priority in the UK? Brit. Birds 108: 660668.Google Scholar
Burton, N. H. K., Rehfisch, M. M. and Clark, N. A. (2002) Impacts of disturbance from construction work on the densities and feeding behaviour of waterbirds using the intertidal mudflats of Cardiff Bay, UK. Environ. Manage. 30: 865871.CrossRefGoogle ScholarPubMed
Burton, N. K., Rehfisch, M. M., Clark, N. A. and Dodd, S. G. (2006) Impacts of sudden winter habitat loss on the body condition and survival of redshank Tringa totanus . J. Appl. Ecol. 43: 464473.CrossRefGoogle Scholar
Butchart, S. H. M., Walpole, M., Collen, B., van Strien, A., Scharlemann, J. P. W., Almond, R. E. A., Baillie, J. E. M., Bomhard, B., Brown, C., Bruno, J., Carpenter, K. E., Carr, G. M., Chanson, J., Chenery, A. M., Csirke, J., Davidson, N. C., Dentener, F., Foster, M., Galli, A., Gallloway, J. N., Genovesi, P., Gregory, R. D., Hockings, M., Kapos, V., Lamarque, J.-F., Leverington, F., Loh, J., McGeoch, M. A., McRae, L., Minasyan, A., Hernández Morcillo, M., Oldfield, T. E. E., Pauly, D., Quader, S., Revenga, C., Sauer, J. R., Skolnik, B., Spear, D., Stanwell-Smith, D., Stuart, S. N., Symes, A., Tierney, M., Tyrrell, T. D., Vié, J.-C. and Watson, R. (2010) Global biodiversity: indicators of recent declines. Science 328: 11641168.CrossRefGoogle Scholar
Choi, C.-Y., Battley, P. F., Potter, M. A., Rogers, K. G. and Ma, Z. J. (2015) The importance of Yalu Jiang coastal wetland in the north Yellow Sea to Bar-tailed Godwits Limosa lapponica and Great Knots Calidris tenuirostris during northward migration. Bird Conserv. Internatn. 25: 5370.CrossRefGoogle Scholar
Clark, J. A., Robinson, R. A., Clark, N. A. and Atkinson, P. W. (2004) Using the proportion of juvenile waders in catches to measure recruitment. Wader Study Group Bull. 104: 5155.Google Scholar
Clark, N. A. (2006) Tidal barrages and birds. Ibis 148: 152157.CrossRefGoogle Scholar
Cochran, J. F. and Anderson, S. H. (1987) Comparison of habitat attributes at sites of stable and declining long-billed curlew populations. The Great Basin Naturalist 47: 459466.Google Scholar
Colwell, M. A. (2010) Shorebird ecology, conservation and management. Berkley and Los Angeles, California: University of California Press.Google Scholar
Conklin, J. R., Verkuil, Y. I. and Smith, B. R. (2014) Prioritizing migratory shorebirds for conservation action on the East Asian-Australasian Flyway. Hong Kong: WWF-Hong Kong.Google Scholar
Conklin, J. R., Lok, T., Melville, D. S., Riegen, A. C., Schuckard, R., Piersma, T. and Battley, P. F. (2016) Declining adult survival of New Zealand Bar-tailed Godwits during 2005–2012 despite apparent population stability. Emu 116: 147157.CrossRefGoogle Scholar
Currie, D. and Valkama, J. (1998) Limited effects of heavy metal pollution on foraging and breeding success in the curlew (Numenius arquata). Environ. Pollut. 101: 253261.CrossRefGoogle Scholar
Department of the Environment (2015) Numenius madagascariensis in Species Profile and Threats Database . Canberra, Australia: Department of the Environment. Downloaded from http://www.environment.gov.au/sprat on 13/11/15.
Dias, R. A., Blanco, D. E., Goijman, A. P. and Zaccagnini, M. E. (2014) Density, habitat use, and opportunities for conservation of shorebirds in rice fields in southeastern South America. Condor 116: 384393.CrossRefGoogle Scholar
Douglas, D. J. T., Bellamy, P. E., Stephen, L. S., Pearce-Higgins, J. W., Wilson, J. D. and Grant, M. C. (2014) Upland land use predicts population decline in a globally near-threatened wader. J. Appl. Ecol. 51: 194203.CrossRefGoogle Scholar
Duijns, S., van Gils, J. A., Smart, J. and Piersma, T. (2015) Phenotype-limited distributions: short-billed birds move away during times that prey bury deeper. R. Soc. Open Sci. 2: 150073.CrossRefGoogle Scholar
Faaborg, J., Holmes, R. T., Anders, A. D., Bildstein, K. L., Dugger, K. M., Gauthreaux, S. A., Heglund, P., Hobson, K. A., Jahn, A. E., Johnson, D. H., Latta, S. C., Levey, D. J., Marra, P., Merkord, C. L., Nol, E., Rothstein, S. I., Sherry, T. W., Sillett, T. S., Thompson, F. R. and Warnock, N. (2010a) Conserving migratory land birds in the New World: Do we know enough? Ecol. Appl. 20: 398418.CrossRefGoogle Scholar
Faaborg, J., Holmes, R. T., Anders, A. D., Bildstein, K. L., Dugger, K. M., Gauthreaux, S. A., Heglund, P., Hobson, K. A., Jahn, A. E., Johnson, D. H., Latta, S. C., Levey, D. J., Marra, P. P., Merkord, C. L., Nol, E., Rothstein, S. I., Sherry, T. W., Sillett, T. S., Thompson, F. R. and Warnock, N. (2010b) Recent advances in understanding migration systems of New World land birds. Ecol. Monogr. 80: 348.CrossRefGoogle Scholar
Fikenscher, A., Hooijmeijer, J., Kentie, R. and Piersma, T. (2015) Black-tailed Godwits avoid traffic-intense roads less in high quality breeding habitat. De Levende Natuur 116: 5156.Google Scholar
Finn, G., Catterall, C. P. and Driscoll, P. V. (2007) Determinants of preferred intertidal feeding habitat for Eastern Curlew: A study at two spatial scales. Austral Ecol. 32: 131144.CrossRefGoogle Scholar
Fletcher, K., Aebischer, N. J., Baines, D., Foster, R. and Hoodless, A. N. (2010) Changes in breeding success and abundance of ground-nesting moorland birds in relation to the experimental deployment of legal predator control. J. Appl. Ecol. 47: 263272.CrossRefGoogle Scholar
Gailbraith, H., Jones, R., Park, R., Clough, J., Herrod-Julius, S., Harrington, B. and Page, G. (2002) Global climate change and sea level rise: potential losses of intertidal habitat for shorebirds. Waterbirds 25: 173183.CrossRefGoogle Scholar
Galbraith, H., DesRochers, D. W., Brown, S. and Reed, J. M. (2014) Predicting vulnerabilities of North American shorebirds to climate change. PLoS ONE 9: e108899.CrossRefGoogle Scholar
Gaston, K. J. and Blackburn, T. M. (1995) Birds, body size and the threat of extinction. Phil. Trans. R. Soc. Lond. B 347: 205212.CrossRefGoogle Scholar
Gerasimov, Y. N., Artukhin, Y. B. and Gerasimov, N. N. (1997) The eastern curlew Numenius madagascariensis in Kamchatka, Russia. Stilt 30: 1415.Google Scholar
Gibbons, D. W., Wilson, J. D. and Green, R. E. (2011) Using conservation science to solve conservation problems. J. Appl. Ecol. 48: 505508.CrossRefGoogle Scholar
Gibson, R. and Baker, A. J. (2012) Multiple gene sequences resolve phylogenetic relationships in the shorebird suborder Scolopaci (Aves: Charadriiformes). Mol. Phylogenet. Evol. 64: 6672.CrossRefGoogle Scholar
Gill, J. A., Norris, K. and Sutherland, W. J. (2001a) The effects of disturbance on habitat use by black-tailed godwits Limosa limosa . J. Appl. Ecol. 38: 848856.CrossRefGoogle Scholar
Gill, J. A., Norris, K., Potts, P. M., Gunnarsson, T. G., Atkinson, P. W. and Sutherland, W. J. (2001b) The buffer effect and large-scale population regulation in migratory birds. Nature 412: 436438.CrossRefGoogle ScholarPubMed
Gill, J. A., Langston, R. H. W., Alves, J. A., Atkinson, P. W., Bocher, P., Cidraes Vieira, N., Crockford, N. J., Gélinaud, G., Groen, N., Gunnarsson, T. G., Hayhow, B., Hooijmeijer, J., Kentie, R., Kleijn, D., Lourenço, P. M., Masero, J. A., Meunier, F., Potts, P. M., Roodbergen, M., Schekkerman, H., Schröder, J., Wymenga, E. and Piersma, T. (2007) Contrasting trends in two Black-tailed Godwit populations: a review of causes and recommendations. Wader Study Group Bull. 114: 4350.Google Scholar
Gill, J. A., Alves, J. A., Sutherland, W. J., Appleton, G. F., Potts, P. M. and Gunnarsson, T. G. (2014) Why is the timing of bird migration advancing when individuals are not? Proc. R. Soc. B 281: 20132161.CrossRefGoogle Scholar
Gill, R. E. Jr, Tibbitts, T. L., Douglas, D. C., Handel, C. M., Mulcahy, D. M., Gottschalck, J. C., Warnock, N., McCaffery, B. J., Battley, P. F. and Piersma, T. (2009) Extreme endurance flights by landbirds crossing the Pacific Ocean: ecological corridor rather than barrier? Proc. R. Soc. B 276: 447457.CrossRefGoogle ScholarPubMed
Gill, R. E. Jr, Douglas, D. C., Handel, C. M., Tibbitts, T. L., Hufford, G. and Piersma, T. (2014) Hemispheric-scale wind selection facilitates bar-tailed godwit circum-migration of the Pacific. Anim. Behav. 90: 117130.CrossRefGoogle Scholar
Gunnarsson, T. G., Gill, J. A., Newton, J., Potts, P. M. and Sutherland, W. J. (2005) Seasonal matching of habitat quality and fitness in a migratory bird. Proc. R. Soc. B 272: 23192323.CrossRefGoogle Scholar
Grant, M. C. (1997) Breeding curlew in the UK: RSPB research and implications for conservation. RSPB Conserv. Rev. 11: 6773.Google Scholar
Grant, M. C., Orsman, C., Easton, J., Lodge, C., Smith, M., Thompson, G., Rodwell, S. and Moore, N. (1999) Breeding success and causes of breeding failure of curlew Numenius arquata in Northern Ireland. J. Appl. Ecol. 36: 5974.CrossRefGoogle Scholar
Graves, G. R. (2010) Late 19th Century abundance trends of the Eskimo curlew on Nantucket Island, Massachusetts. Waterbirds 33: 236241.CrossRefGoogle Scholar
Harris, S. J., Massimino, D., Newson, S. E., Eaton, M. A., Balmer, D. E., Noble, D. G., Musgrove, A. J., Gillings, S., Procter, D. and Pearce-Higgins, J. W. (2015) The Breeding bird survey 2014. Thetford, UK: British Trust for Ornithology. (BTO Research Report 673).Google Scholar
Holm, T. E. and Laursen, K. (2009) Experimental disturbance by walkers affects behaviour and territory density of nesting Black-tailed Godwit Limosa limosa . Ibis 151: 7787.CrossRefGoogle Scholar
Hooijmeijer, J. C. E. W., Senner, N. R., Tibbitts, T. L., Gill, R. E. Jr, Douglas, D. C., Bruinzeel, L. W., Wymenga, E. and Piersma, T. (2013) Post-breeding migration of Dutch-breeding black-tailed godwits: timing, routes, use of stopovers, and nonbreeding distributions. Ardea 101: 141152.CrossRefGoogle Scholar
Hua, N., Tan, K., Chen, Y. and Ma, Z. (2015) Key research issues concerning the conservation of migratory shorebirds in the Yellow Sea region. Bird Conserv. Internatn. 25: 3852.CrossRefGoogle Scholar
Iwamura, T., Fuller, R. A. and Possingham, H. P. (2014) Optimal management of a multispecies shorebird flyway under sea-level rise. Conserv. Biol. 28: 17101720.CrossRefGoogle ScholarPubMed
Johnson, A., Perz, J., Nol, E. and Senner, N. (2016) Dichotomous strategies: The migration of Whimbrel (Numenius phaeopus) breeding in the Eastern Canadian Sub-Arctic. J. Field Ornithol. 87: 371383.CrossRefGoogle Scholar
Julliard, R., Jiguet, F. and Couvet, D. (2003) Common birds facing global changes: what makes a species at risk? Glob . Change Biol. 10: 148154.CrossRefGoogle Scholar
Kentie, R., Hooijmeijer, J. C. E. W., Trimbos, K. B., Groen, N. M. and Piersma, T. (2013) Intensified agricultural use of grasslands reduces growth and survival of precocial shorebird chicks. J. Appl. Ecol. 50: 243251.CrossRefGoogle Scholar
Kentie, R., Both, C., Hooijmeijer, J. C. E. W. and Piersma, T. (2014) Age-dependent dispersal and habitat choice in black-tailed godwits Limosa limosa limosa across a mosaic of traditional and modern grassland habitats. J. Avian Biol. 45: 396405.CrossRefGoogle Scholar
Kentie, R., Both, C., Hooijmeijer, J. C. E. W. and Piersma, T. (2015) Management of modern agricultural landscapes increases nest predation rates in Black-tailed Godwits Limosa limosa . Ibis 157: 614625.CrossRefGoogle Scholar
Kleijn, D., Schekkerman, H., Dimmers, W. J., Van Kats, R. J. M., Melman, D. and Teunissen, W. A. (2010) Adverse effects of agricultural intensification and climate change on breeding habitat quality of Black-tailed Godwits Limosa l. limosa in the Netherlands. Ibis 152: 475486.CrossRefGoogle Scholar
Kruk, M., Noordervllet, M. A. W and ter Keurs, W. J. (1997) Survival of black-tailed godwit chicks Limosa limosa in intensively exploited grassland areas in The Netherlands. Biol. Conserv. 80: 127133.CrossRefGoogle Scholar
Kuhnert, P. M., Martin, T. G. and Griffiths, S. P. (2010) A guide to eliciting and using expert knowledge in Bayesian ecological models. Ecol. Lett. 13: 900914.CrossRefGoogle ScholarPubMed
Leito, A., Elts, J., Mägi, E., Truu, J., Ivask, M., Kuu, A., Ööpik, M., Meriste, M., Ward, R., Kuresoo, A., Pehlak, H., Sepp, H., Sepp, K. and Luigejõe, L. (2014) Coastal grassland wader abundance in relation to breeding habitat characteristics in Matsula Bay, Estonia. Ornis Fennica 91: 149165.Google Scholar
Liley, D. and Sutherland, W. J. (2007) Predicting the population consequences of human disturbance for Ringed Plovers Charadrius hiaticula: a game theory approach. Ibis 149 S1: 8294.CrossRefGoogle Scholar
Lopez, R. J., Pardal, M. A. and Marques, J. C. (2000) Impact of macroalgal blooms and wader predation on intertidal macroinvertebrates: experimental evidence from the Mondego estuary (Portugal). J. Exp. Mar. Biol. Ecol. 249: 165179.CrossRefGoogle Scholar
Ma, Z., Melville, D. S., Liu, J., Chen, Y., Yang, H., Ren, W., Zhang, Z., Piersma, T. and Li, B. (2014) Rethinking China’s new great wall. Massive seawall construction in coastal wetlands threatens biodiversity. Science 346: 912914.CrossRefGoogle Scholar
Massimino, D., Johnston, A. and Pearce-Higgins, J. W. (2015) The geographical range of British birds expands during 15 years of warming. Bird Study 62: 523534.CrossRefGoogle Scholar
Melman, T. C. P., Schotman, A. G. M., Hunink, S. and de Snoo, G. R. (2008) Evaluation of meadow bird management, especially black-tailed godwit (Limosa limosa limosa) in the Netherlands. J. Nat. Conserv. 16: 8895.CrossRefGoogle Scholar
Melville, D. S. (2015) Tianjin’s tragic explosions highlight risks to the coastal environment from China’s expanding chemical industries. Wader Study 122: 8586.Google Scholar
Melville, D. S., Chen, Y. and Ma, Z. J. (2016) Shorebirds along China’s Yellow Sea coast face an uncertain future – a review of threats. Emu 116: 100110.CrossRefGoogle Scholar
Miller, E. V., Nol, E., Nguyen, L. and Turner, D. (2014) Habitat selection and nest success of the Upland Sandpiper (Bartramia longicauda) in Ivvavik National Park, Yukon, Canada. Can. Field. Nat. 128: 341349.CrossRefGoogle Scholar
Morozov, V. V. (2000) Current status of the southern subspecies of the Whimbrel Numenius phaeopus alboaxillaris Lowe 1921 in Russia and Kazakhstan. Wader Study Group Bull. 92: 3037.Google Scholar
Murray, N. J., Clements, R. S., Phinn, S. R., Possingham, H. P. and Fuller, R. A. (2014) Tracking the rapid loss of tidal wetlands in the Yellow Sea. Front. Ecol. Environ. 12: 267272.CrossRefGoogle Scholar
Murray, N. J., Ma, Z. and Fuller, R. A. (2015) Tidal flats of the Yellow Sea: A review of ecosystem status and anthropogenic threats. Austral Ecol. 40: 472481.CrossRefGoogle Scholar
Mustin, K., Sutherland, W. J. and Gill, J. A. (2007) The complexity of predicting climate-induced ecological impacts. Climate Res. 35: 165175.CrossRefGoogle Scholar
O’Brien, M. and Wilson, J. D. (2011) Population changes of breeding waders on farmland in relation to agri-environment management. Bird Study 58: 399408.CrossRefGoogle Scholar
Odino, M. (2014) The power of poison: pesticide poisoning of Africa’s wildlife. Ann. NY. Acad. Sci. 1332: 120.Google Scholar
O’Neill, S., Osborn, T., Hulme, M., Lorenzoni, I. and Watkinson, A. (2008) Using expert knowledge to assess uncertainties in future polar bear populations under climate change. J. Appl. Ecol. 45: 16491659.CrossRefGoogle Scholar
Owens, I. P. F. and Bennett, P. M. (2000) Ecological basis of extinction risk in birds: habitat loss versus human persecution and introduced predators. P. Natl. Acad. Sci. USA 97: 1214412148.CrossRefGoogle ScholarPubMed
Page, G. W. and Gill, R. E. Jr (1994) Shorebirds in western North America: late 1800s to late 1900. Stud. Avian Biol. 15: 147160.Google Scholar
Pearce-Higgins, J. W. (2010) Using diet to assess the sensitivity of northern and upland birds to climate change. Climate Res. 45: 119130.CrossRefGoogle Scholar
Pearce-Higgins, J. W., Beale, C. M., Wilson, J. and Bonn, A. (2006) Analysis of moorland breeding bird distribution and change in the Peak District. Edale, UK: Moors for the Future Partnership. (Moors for the Future Report 11).Google Scholar
Pearce-Higgins, J. W. and Grant, M. C. (2006) Relationships between bird abundance and the composition and structure of moorland vegetation. Bird Study 53: 112125.CrossRefGoogle Scholar
Pearce-Higgins, J. W., Grant, M. C., Beale, C. M., Buchanan, G. M. and Sim, I. M. W. (2009a) International importance and drivers of change of upland bird populations. Pp. 209227 in Bonn, A., Allot, T., Hubacek, K. and Stewart, J., eds. Drivers of environmental change in uplands. London and New York: Routledge.Google Scholar
Pearce-Higgins, J. W. and Green, R. E. (2014) Birds and climate change: Impacts and conservation responses. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Pearce-Higgins, J. W., Stephen, L., Douse, A. and Langston, R. H. W. (2012) Greater impacts of wind farms on bird populations during construction than subsequent operation: results of a multi-site and multi-species analysis. J. Appl. Ecol. 49: 386394.CrossRefGoogle Scholar
Pearce-Higgins, J. W., Stephen, L., Langston, R. H. W., Bainbridge, I. P. and Bullman, R. (2009b) The distribution of breeding birds around upland wind farms. J. Appl. Ecol. 46: 13231331.Google Scholar
Peters, K. A. and Otis, D. L. (2007) Shorebird roost-site selection at two temporal scales: is human disturbance a factor? J. Appl. Ecol. 44: 196209.CrossRefGoogle Scholar
Piersma, T., van Gils, J., and Wiersma, P. (1996) Family Scolopacidae (sandpipers, snipes and phalaropes). Pp. 444533 in del Hoyo, J., Elliott, A., and Sargatal, J., eds. Handbook of the birds of the world. Vol. 3. Hoatzin to auks. Barcelona: Lynx Edicions.Google Scholar
Piersma, T. and Baker, A. J. (2000) Life history characteristics and the conservation of migratory shorebirds. Pp. 105124 in Gosling, L. M. and Sutherland, W. J., eds. Behaviour and conservation. Cambridge: Cambridge University Press.Google Scholar
Piersma, T., Lok, T., Chen, Y., Hassell, C. J., Yang, H.-Y., Boyle, A., Slaymaker, M., Chan, Y.-C., Melville, D. S., Zhang, Z.-W. and Ma, Z. (2016) Simultaneous declines in summer survival of three shorebird species signals a flyway at risk. J. Appl. Ecol. 53: 479490.CrossRefGoogle Scholar
Rakhimberdiev, E., van den Hout, P. J., Brugge, M., Spaans, B. and Piersma, T. (2015) Seasonal mortality and sequential density dependence in a migratory bird. J. Avian Biol. 46: 332341.CrossRefGoogle Scholar
Ratcliffe, D. (2007) Galloway and the borders. London, UK: Collins.Google Scholar
Reijnen, R. and Foppen, R. (1997) Disturbance by traffic of breeding birds: evaluation of the effect and considerations in planning and managing road corridors. Biodivers. Conserv. 6: 567581.CrossRefGoogle Scholar
Robbins, C. S., Sauer, J. R., Greenberg, R. S. and Droege, S. (1989) Population declines in North American birds that migrate to the neotropics. P. Natl. Acad. Sci. USA 86: 76587662.CrossRefGoogle ScholarPubMed
Roberts, D. L. and Jarić, I. (2016) Inferring extinction in North American and Hawaiian birds in the presence of sighting uncertainty. PeerJ 4: e2426 CrossRefGoogle ScholarPubMed
Robinson, R. A., Morrison, C. A. and Baillie, S. R. (2014) Integrating demographic data: towards a framework for monitoring wildlife populations at large spatial scales. Method. Ecol. Evol. 5: 13611372.CrossRefGoogle Scholar
Rogers, D. I., Piersma, T. and Hassell, C. J. (2006) Roost availability may constrain shorebird distribution: Exploring the energetic costs of roosting and disturbance around a tropical bay. Biol. Conserv. 133: 225235.CrossRefGoogle Scholar
Runge, C. A., Watson, J. E. M., Butchart, S. H. M., Hanson, J. O., Possingham, H. P. and Fuller, R. A. (2015) Protected areas and global conservation of migratory birds. Science 350: 12551258.CrossRefGoogle ScholarPubMed
Sæther, B.-E. and Bakke, Ø. (2000) Avian life history variation and contribution of demographic rates to the population growth rate. Ecology 81: 642653.CrossRefGoogle Scholar
Salafsky, N., Salzer, D., Stattersfield, A. J., Hilton-Taylor, C., Neugarten, R., Butchart, S. H. M., Collen, B., Cox, N., Master, L. L., O’Connor, S. O. and Wilkie, D. (2008) A standard lexicon for biodiversity conservation: unified classifications of threats and actions. Conserv. Biol. 22: 897911.CrossRefGoogle ScholarPubMed
Sandercock, B. K., Alfaro-Barrios, M. Casey, A. E., Johnson, T. N., Mong, T. W., Odom, K. J., Strum, K. M., and Winder, V. L. (2015) Effects of grazing and prescribed fire on resource selection and nest survival of Upland Sandpipers in an experimental landscape. Landscape Ecol. 30: 325337.CrossRefGoogle Scholar
Sanderson, F. J., Donald, P. F., Pain, D. J., Burfield, I. J. and van Bommel, F. P. J. (2006) Long-term population declines in Afro-Palearctic migrant birds. Biol. Conserv. 131: 93105.CrossRefGoogle Scholar
Schekkerman, H., Teunissen, W. and Oosterveld, E. (2008) The effect of ‘mosaic management’ on the demography of black-tailed godwit Limosa limosa on farmland. J. Appl. Ecol. 45: 10671075.Google Scholar
Schekkerman, H., Teunissen, W. and Oosterveld, E. (2009) Mortality of Black-tailed Godwit Limosa limosa and Northern Lapwing Vanellus vanellus chicks in wet grasslands: influence of predation and agriculture. J. Ornithol. 150: 133145.CrossRefGoogle Scholar
Schroeder, J., Piersma, T., Groen, N. M., Hooijmeijer, J. C. E. W., Kentie, R., Lourenço, P. M., Schekkerman, H. and Both, C. (2012) Reproductive timing and investment in relation to spring warming and advancing agricultural schedules. J. Ornithol. 153: 327336.CrossRefGoogle Scholar
Senner, N. R. (2012) One species but two patterns: Populations of the Hudsonian Godwit (Limosa haemastica) differ in spring migration timing. Auk 129: 670682.CrossRefGoogle Scholar
Senner, N. R. and Angulo-Pratalongo, F. (2013) Atlas de las aves playeras del Perú: Sitios importantes para su conservación. Lima, Peru: Ministerio del Medio Ambiente and U.S. Fish and Wildlife Service.Google Scholar
Senner, N. R., Hochachka, W. M., Fox, J., and Afanasyev, V. (2014) An exception to the rule: Carry-over effects do not accumulate in a migratory bird. PLoS ONE 9: e86588.CrossRefGoogle ScholarPubMed
Senner, N. R., Conklin, J. R. and Piersma, T. (2015) An ontogenetic perspective on individual differences. Proc. R. Soc. B 282: 20151050.CrossRefGoogle ScholarPubMed
Senner, N. R., Stager, M. and Sandercock, B. (2017) Ecological mismatches are moderated by local conditions for two populations of a long-distance migratory bird. Oikos 126: 6172.CrossRefGoogle Scholar
Smart, J., Wotton, S. R., Dillon, I. A., Cooke, A. I., Diack, I., Drewitt, A. L., Grice, P. V. and Gregory, R. D. (2014) Synergies between site protection and agri-environment schemes for the conservation of waders on lowland wet grasslands. Ibis 156: 576590.CrossRefGoogle Scholar
Soloviev, S. A. (2005) Birds of Omsk and its suburb. Novosibirsk, Russian Federation: Nauka. (In Russian).Google Scholar
Soloviev, S. A. (2012) Birds of Tobolo-Irtish forest-steppe and steppe: Western Siberia and Northern Kazakhstan. Pp. 212294 in Vartapetov, L. G., ed. Spatial structure and organization of ornithocomplexes. Vol. 1. Novosibirsk, Russian Federation: Publishing House SO RAN. (In Russian).Google Scholar
Strum, K. M., Hooper, M. J., Johnson, K. A., Lanctot, R. B., Zaccagnini, M. E. and Sandercock, B. K. (2010) Exposure of nonbreeding migratory shorebirds to cholinesterase inhibiting contaminants in the Western Hemisphere. Condor 112: 1528.CrossRefGoogle Scholar
Sullivan, M. J. P., Newson, S. E. and Pearce-Higgins, J. W. (2015) Using habitat-specific population trends to evaluate consistency of the effects of species traits on bird population change. Biol. Conserv. 192: 343352.CrossRefGoogle Scholar
Sutherland, W. J., Alves, J. A., Amano, T., Chang, C. H., Davidson, N. C., Max Finlayson, C., Gill, J. A., Gill, R. E., González, P. M., Gunnarsson, T. G., Kleijn, D., Spray, C. J., Székely, T. and Thompson, D. B. A. (2012) A horizon scanning assessment of current and potential future threats to migratory shorebirds. Ibis 154: 663679.CrossRefGoogle Scholar
Szabo, J. and Mundkur, T. (In Press) Conserving wetlands for migratory waterbirds in South Asia. In Prusty, B. A. K., Chandra, R. and Azeez, P. A., eds. Wetland science: Perspectives from South Asia. Berlin, Germany: Springer Verlag Publishers.
Taylor, R. C. and Dodd, S. G. (2013) Negative impacts of hunting and suction-dredging on otherwise high and stable survival rates in curlew Numenius arquata . Bird Study 60: 221228.CrossRefGoogle Scholar
Thaxter, C. B., Joys, A. C., Gregory, R. D., Baillie, S. R. and Noble, D. G. (2010) Hypotheses to explain patterns of population change among breeding bird species in England. Biol. Conserv. 143: 20062019.CrossRefGoogle Scholar
Trolliet, B. (2014) Plan National De Gestion (2015-2020) Barge à queue noire (Limosa limosa). Chanteloup, France: Office National de la Chasse et de la Faune Sauvage. Downloaded from: http://www.developpement-durable.gouv.fr/IMG/pdf/PNG_BQN-1.pdf on 13/11/15.
Turner, W., Rondinini, N., Pettorelli, N., Mora, B., Leidner, A. K., Szantoi, Z., Buchanan, G., Dech, S., Dwyer, J., Herold, M., Koh, L. P., Leimgruber, P., Taubenboeck, H., Wegmann, M., Wikelski, M. and Woodcock, C. (2015) Free and open-access satellite data are key to biodiversity conservation. Biol. Conserv. 182: 173176.CrossRefGoogle Scholar
Ueta, M., Antonov, A., Artukhin, Y. and Parilov, M. (2002) Migration routes of Eastern Curlews tracked from far east Russia. Emu 102: 345348.CrossRefGoogle Scholar
Valkama, J. and Currie, D. (1999) Low productivity of Curlews Numenius arquata on farmland in southern Finland: Causes and consequences. Ornis Fennica 76: 6570.Google Scholar
Valkama, J., Currie, D. and Korpimäki, E. (1999) Differences in the intensity of nest predation in the curlew Numenius arquata: A consequence of land use and predator densities? Ecoscience 6: 497504.CrossRefGoogle Scholar
van Gils, J. A., Piersma, T., Dekinga, A., Spaans, B. and Kraan, C. (2006) Shellfish dredging pushes a flexible avian top predator out of a marine protected area. PLoS Biol. 4: 23992404.CrossRefGoogle ScholarPubMed
Watts, B. D., Reed, E. T. and Turrin, C. (2015) Estimating sustainable mortality limits for shorebirds using the Western Atlantic Flyway. Wader Study 122: 3753.CrossRefGoogle Scholar
Wetlands International (2012) Waterbird population estimates. Fifth Edition. Wageningen, The Netherlands: Wetlands International.
Wetlands International (2014) What are flyways? Downloaded from http://wpe.wetlands.org/Iwhatfly on 05/10/16.
Yamamura, Y., Amano, T., Koizumi, T., Mitsuda, Y., Taki, H. and Okabe, K. (2009) Does land-use change affect biodiversity dynamics at a macroecological scale? A case study of birds over the past 20 years in Japan. Anim. Conserv. 12: 110119.CrossRefGoogle Scholar
Yang, H., Chen, B., Barter, M., Piersma, T., Zhou, C., Li, F. and Zhang, Z. (2011) Impacts of tidal land reclamation in Bohai Bay, China: ongoing losses of critical Yellow Sea waterbird staging and wintering sites. Bird Conserv. Internatn. 21: 241259.CrossRefGoogle Scholar
Yasué, M., Dearden, P. and Moore, A. (2008) An approach to assess the potential impacts of human disturbance on wintering tropical shorebirds. Oryx 42: 415423.CrossRefGoogle Scholar
Zöckler, C., Syroechkovskiy, E. E. and Atkinson, P. W. (2010) Rapid and continued population decline in the Spoon-billed Sandpiper Eurynorhynchus pygmeus indicates imminent extinction unless conservation action is taken. Bird Conserv. Internatn. 20: 95111.CrossRefGoogle Scholar

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