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Cryptic and cumulative impacts on the wintering habitat of the endangered black-faced spoonbill (Platalea minor) risk its long-term viability

  • EVAN J. PICKETT (a1), MELANIE CHAN (a1), WENDA CHENG (a1), JOHN ALLCOCK (a2), SIMBA CHAN (a3), JUNHUA HU (a4), KISUP LEE (a5), BENA SMITH (a6), SHUANG XING (a1), YAT-TUNG YU (a2) and TIMOTHY C. BONEBRAKE (a1)...

Summary

The East Asian–Australasian flyway contains some of the most threatened habitats in the world, with at least 155 waterbird species reliant on the tidal habitats it comprises. The black-faced spoonbill (Platalea minor) is an iconic endangered species distributed across the coast of East Asia. Its population suffered a severe decline into the 1990s, but extensive monitoring and conservation interventions have aided a substantial recovery of the species. We used a population viability analysis based on data collected over the past two decades in conjunction with species distribution models to project spatially explicit models of population change for the next 35 years. Over nearly all scenarios of habitat loss and climate change, the global spoonbill population was projected to increase in the short-term due to low population numbers likely well below current population carrying capacities. However, climate change and habitat loss together threaten the recovery of the spoonbill population such that, by 2050, population declines are apparent as a consequence of these cumulative impacts. These threats are also cryptic and represent a challenge to the conservation of species recovering from anthropogenic impacts; observed population increases can hide large reductions in habitat suitability that threaten the long-term viability of species.

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Corresponding author

*Correspondence: Dr Timothy C. Bonebrake email: tbone@hku.hk

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Supplementary material can be found online at http://dx.doi.org/10.1017/S0376892917000340

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References

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Akçakaya, HR, Root, W (2005) RAMAS GIS 5: Linking Spatial Data with Population Viability Analysis. Setauket, NY, USA: Applied Biomathematics.
Amano, T, Székely, T, Koyama, K, Amano, H, Sutherland, WJ (2010) A framework for monitoring the status of populations: an example from wader populations in the East Asian–Australasian flyway. Biological Conservation 143: 22382247.
An, SQ, Li, HB, Guan, BH, Zhou, C, Wang, Z, Deng, Z, Zhi, Y et al. (2007) China's natural wetlands: past problems, current status, and future challenges. AMBIO 36: 335342.
Beissinger, SR, Westphal, MI (1998) On the use of demographic models of population viability in endangered species management. J Wildlife Management 62: 821841.
Bonebrake, TC, Syphard, AD, Fraklin, J, Anderson, KE, Akçakaya, HR, Mizerek, T, Winchell, C, Regan, HM (2014) Fire management, managed relocation, and land conservation options for long-lived obligate seedling plants under global changes in climate, urbanization, and fire regime. Conservation Biology 28: 10571067.
Chan, S, Fang, WH, Lee, KS, Yamada, Y, Yu, YT (2010) International Single Species Action Plan for the Conservation of the Black-faced Spoonbill (Platalea minor). Tokyo, Japan: BirdLife International Asia Division.
Cho, DO, Olsen, SB (2003) The status and prospects for coastal management in Korea. Coastal Management 31: 99119.
Chong, JR, Pak, UI, Rim, CY, Kim, TS (1996) Breeding biology of black-faced spoonbill Platalea minor. Strix 14: 110.
Dufresne, JL, Foujols, MA, Denvil, S, Caubel, A, Marti, O, Aumont, O, Mignot, J (2013) Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5. Climate Dynamics 40: 21232165.
ESRI (2011) ArcGIS Desktop: Release 10. Redlands, CA, USA: Environmental Systems Research Institute.
Fraixedas, S, Lehikoinen, A, Lindén, A (2015) Impacts of climate and land‐use change on wintering bird populations in Finland. Journal of Avian Biology 46: 6372.
Franklin, J, Regan, HM, Syphard, AD (2014) Linking spatially explicit species distribution and population models to plan for the persistence of plant species under global change. Environmental Conservation 41: 97109.
Global Land Cover (2003) 2000 Database. European Commission, Joint Research Centre. URL http://forobs.jrc.ec.europa.eu/products/glc2000/glc2000.php
Heard, MJ, Smith, KF, Ripp, KJ, Berger, M, Chen, J, Dittmeier, J, Goter, M et al. (2013) The threat of disease increases as species move toward extinction. Conservation Biology 27: 13781388.
Hijmans, RJ, Cameron, SE, Parra, JL, Jones, PG, Jarvis, A (2005) Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 19651978.
Hu, J, Hu, H, Jiang, Z (2010) The impacts of climate change on the wintering distribution of an endangered migratory bird. Oecologia 164: 555565.
Hua, N, Tan, K, Chen, Y, Ma, Z (2015) Key research issues concerning the conservation of migratory shorebirds in the Yellow Sea region. Bird Conservation International 25: 3852.
Hunter, EA, Nibbelink, NP, Alexander, CR, Barrett, K, Mengak, LF, Guy, RK, Moore, CT, Cooper, RJ (2015) Coastal vertebrate exposure to predicted habitat changes due to sea level rise. Environmental Management 56: 15281537.
Islam, MS, Tanaka, M (2004) Impacts of pollution on coastal and marine ecosystems including coastal and marine fisheries and approach for management: a review and synthesis. Marine Pollution Bulletin 48: 624648.
Iwamura, T, Fuller, RA, Possingham, HP (2014) Optimal management of a multispecies shorebird flyway under sea-level rise. Conservation Biology 28: 17101720.
Iwamura, T, Possingham, HP, Chadès, I, Minton, C, Murray, NJ, Rogers, DI, Treml, EA, Fuller, RA (2013) Migratory connectivity magnifies the consequences of habitat loss from sea-level rise for shorebird populations. Proceedings. Biological Sciences 280: 20130325.
Lehikoinen, A, Jaatinen, K, Vähätalo, AV, Clausen, P, Crowe, O, Deceuninck, B, Hearn, R et al. (2013) Rapid climate driven shifts in wintering distributions of three common waterbird species. Global Change Biology 19: 20712081.
MacKinnon, J, Verkuil, YI, Murray, N (2012) IUCN Situation Analysis on East and Southeast Asian Intertidal Habitats, with Particular Reference to the Yellow Sea (Including the Bohai Sea). Occasional Paper of the IUCN Species Survival Commission No. 47. Gland, Switzerland: IUCN.
Murray, NJ, Clemens, RS, Phinn, SR, Possingham, HP, Fuller, RA (2014) Tracking the rapid loss of tidal wetlands in the Yellow Sea. Frontiers in Ecology and Environment 12: 267272.
Murray, NJ, Ma, Z, Fuller, RA (2015) Tidal flats of the Yellow Sea: a review of ecosystem status and anthropogenic threats. Austral Ecology 40: 472481.
Newton, I (1998) Population Limitation in Birds. San Diego, CA, USA: Academic Press.
Pavón‐Jordán, D, Fox, AD, Clausen, P, Dagys, M, Beceuninck, B, Devos, K, Hearn, RD et al. (2015) Climate‐driven changes in winter abundance of a migratory waterbird in relation to EU protected areas. Diversity and Distributions 21: 571582.
Pearce-Higgins, JW, Yalden, DW, Whittingham, MJ (2005) Warmer springs advance the breeding phenology of golden plovers Pluvialis apricaria and their prey (Tipulidae). Oecologia 143: 470476.
Phillips, SJ, Dudik, M (2008) Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31: 161175.
Rueda-Cediel, P, Anderson, KE, Regan, TJ, Franklin, J, Regan, HM (2015) Combined influences of model choice, data quality, and data quantity when estimating population trends. PLoS ONE 10: e0132255.
Stocker, TF, Qin, D, Plattner, GK, Tignor, M, Allen, SK, Boschung, J, Nauels, A et al. (2013) IPCC, 2013: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, UK, and New York, NY, USA: Cambridge University Press.
Syphard, AD, Regan, HM, Franklin, J, Swab, RM, Bonebrake, TC (2013) Does functional type vulnerability to multiple threats depend on spatial context in Mediterranean‐climate regions? Diversity and Distributions 19: 12631274.
Thorne, KM, Mattsson, BJ, Takekawa, J, Cummings, J, Crouse, D, Block, G, Bloom, V et al. (2015) Collaborative decision-analytic framework to maximize resilience of tidal marshes to climate change. Ecology and Society 20: 30.
Ueng, Y-T, Perng, J-J, Wang, J-P, Weng, J-H, Hou, P-CL (2006.) Diet of the black-faced spoonbill wintering at Chiku Wetland in Southwestern Taiwan. Waterbirds 29: 185190.
Ueng, Y-T, Wang, J-P, Hou, P-CL (2007) Predicting population trends of the black-faced Spoonbill (Platalea minor). Wilson Journal of Ornithology 119: 246252.
Ueta, M, Melville, DS, Wang, Y, Ozaki, K, Kanai, Y, Leader, PJ, Wang, C-C, Kuo, C-Y (2002) Discovery of the breeding sites and migration routes of black-faced spoonbills Platalea minor. IBIS 144: 340343.
USGS (2009) HYDRO1 K elevation derivative database. URL http://eros.usgs.gov/#/Find_Data/Products_and_Data_Available/gtopo30/hydro.
Virkkala, R (2016) Long-term decline of southern boreal forest birds: consequence of habitat alteration or climate change? Biodiversity Conservation 25: 151167.
Yeung, CL, Yao, CT, Hsu, YC, Wang, JP, Li, SH (2006) Assessment of the historical population size of an endangered bird, the black-faced spoonbill (Platalea minor) by analysis of the mitochondrial DNA diversity. Animal Conservation 9: 110.
Yu, H (1994) China's coastal ocean uses: conflicts and impacts. Ocean Coastal Management 25: 161178.
Yu, YT, Fong, HHN, Tse, IWI (2015) International Black-faced Spoonbill Census 2015. Hong Kong, China: Black-faced Spoonbill Research Group, The Hong Kong Bird Watching Society.
Yukimoto, S, Adachi, Y, Hosaka, M, Sakami, T, Yoshimura, H, Hirabara, M, Tanaka, TY et al. (2012) A new global climate model of the Meteorological Research Institute: MRI-CGCM3 – model description and basic performance. Journal of the Meterological Society of Japan 90A: 2664.

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