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6 - Network Scaling

Published online by Cambridge University Press:  05 May 2022

Cang Hui
Affiliation:
Stellenbosch University, South Africa
David Richardson
Affiliation:
Stellenbosch University, South Africa
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Summary

Maps of global biomes or ecoregions show geographical clusters – unique assemblages of plants and animals that are spatially tied with associated geomorphologic and climatic features. Biomes are typically defined on the basis of broad vegetation types and the biophysical features that impose fundamental controls on the distribution of plants (Cox and Moore 2000). The concept of biomes has a deep history in ecology and has experienced waves of knowledge synthesis, reaching a recent consensus of seven points (Mucina 2019), one of which caught our attention: ‘A biome incorporates a complex of fine-scale biotic communities; it has its characteristic flora and fauna and it is home to characteristic vegetation types and animal communities.’ Macro-scale biodiversity patterns, therefore, reflect the overarching geophysical structures of the globe such as the well-known latitudinal gradients of biodiversity (Willig et al. 2003) and associated ecosystem functioning (e.g., litter decomposition in streams via detritivores; Boyero et al. 2015). Nevertheless, within constantly changing environments, the species composition and geographical boundaries of biomes (called ecotones) are not fixed, but are fluid over evolutionary timescales (Haywood et al. 2019). This biodiversity–environment coupling has been disrupted by agriculture and urbanisation, and the appetite of humans for resources and raw materials and their carelessness in handling waste. Humans are steadily altering land cover and modifying ecological processes across the globe, creating a new ecological order of anthropogenic biomes (anthromes; sensu Ellis and Ramankutty 2008). Natural biomes are facing unprecedented pressures to change, shift, dissolve, merge and emerge, at a pace on par with the most tumultuous periods of the biosphere’s history.

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Print publication year: 2022

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References

Alpert, P, Bone, E, Holzapfel, C (2000) Invasiveness, invasibility and the role of environmental stress in the spread of non-native plants. Perspectives in Plant Ecology, Evolution and Systematics 3, 5266.CrossRefGoogle Scholar
Andreazzi, CS, Thompson, JN, Guimarães, PR Jr (2017) Network structure and selection asymmetry drive coevolution in species-rich antagonistic interactions. The American Naturalist 190, 99115.Google Scholar
Araújo, MB, Rozenfeld, A (2014) The geographic scaling of biotic interactions. Ecography 37, 406415.Google Scholar
Barthelemy, M (2018) Transitions in spatial networks. Comptes Rendus Physique 19, 205232.Google Scholar
Barwell, LJ, et al. (2014) Can coarse-grain patterns in insect atlas data predict local occupancy? Diversity and Distributions 20, 895907.CrossRefGoogle Scholar
Bashan, A, et al. (2013) The extreme vulnerability of interdependent spatially embedded networks. Nature Physics 9, 667672.Google Scholar
Bersier, L, Sugihara, G (1997) Scaling regions for food web properties. Proceedings of the National Academy of Sciences USA 94, 12471251.CrossRefGoogle ScholarPubMed
Borregaard, MK, Rahbek, C (2006) Prevalence of intraspecific relationships between range size and abundance in Danish birds. Diversity and Distributions 12, 417422.Google Scholar
Bosc, C, Roets, F, Hui, C, Pauw, A (2018) Interactions among predators and plant specificity protect herbivores from top predators. Ecology 99, 16021609.CrossRefGoogle ScholarPubMed
Boyero, L, et al. (2015) Leaf-litter breakdown in tropical streams: Is variability the norm? Freshwater Science 34, 759769.Google Scholar
Brose, U, et al. (2004) Unified spatial scaling of species and their trophic interactions. Nature 428, 167171.Google Scholar
Buckley, YM, Bolker, BM, Rees, M (2007) Disturbance, invasion and re-invasion: Managing the weed-shaped hole in disturbed ecosystems. Ecology Letters 10, 809817.Google Scholar
Bufford, JL, et al. (2020) Novel interactions between alien pathogens and native plants increase plant–pathogen network connectance and decrease specialization. Journal of Ecology 108, 750760.Google Scholar
Capinha, C, et al. (2015) The dispersal of alien species redefines biogeography in the Anthropocene. Science 348, 12481251.CrossRefGoogle ScholarPubMed
Catford, JA, Jansson, R, Nilsson, C (2009) Reducing redundancy in invasion ecology by integrating hypotheses into a single theoretical framework. Diversity and Distributions 15, 2240.Google Scholar
Chesson, P (2012) Scale transition theory: Its aims, motivations and predictions. Ecological Complexity 10, 5268.CrossRefGoogle Scholar
Cohen, JE, Briand, F (1984) Trophic links of community food webs. Proceedings of the National Academy of Sciences USA 81, 41054109.Google Scholar
Condit, R (1998) Tropical Forest Census Plots. Berlin: Springer.CrossRefGoogle Scholar
Cowling, RM, Pressey, RL (2001) Rapid plant diversification: Planning for an evolutionary future. Proceedings of the National Academy of Sciences USA 98, 54525457.Google Scholar
Cox, CB, Moore, PD (2000) Biogeography: An Ecological and Evolutionary Approach. Oxford: Blackwell.Google Scholar
Daleo, P, Alberti, J, Iribarne, O (2009) Biological invasions and the neutral theory. Diversity and Distributions 15, 547553.Google Scholar
Davies, KF, et al. (2005) Spatial heterogeneity explains the scale dependence of the native-exotic diversity relationship. Ecology 86, 16021610.Google Scholar
Demšar, U, Špatenková, O, Virrantaus, K (2008) Identifying critical locations in a spatial network with Graph Theory. Transactions in GIS 12, 6182.Google Scholar
Diamond, JM (1975) The island dilemma: Lessons of modern biogeography studies for the design of natural reserves. Biological Conservation 7, 129146.CrossRefGoogle Scholar
Divišek, J, et al. (2018) Similarity of introduced plant species to native ones facilitates naturalization, but differences enhance invasion success. Nature Communications 9, 4631.Google Scholar
Donaldson, JE, et al. (2014) Invasion trajectory of alien trees: The role of introduction pathway and planting history. Global Change Biology 20, 15271537.Google Scholar
Donohue, O, et al. (2013) On the dimensionality of ecological stability. Ecology Letters 16, 421429.Google Scholar
Ellis, EC, Ramankutty, N (2008) Putting people in the map: Anthropogenic biomes of the world. Frontiers in Ecology and the Environment 6, 439447.Google Scholar
Elton, CS (1958) The Ecology of Invasions by Animals and Plants. London: Methuen.CrossRefGoogle Scholar
Ferrier, S, et al. (2007) Using generalized dissimilarity modelling to analyse and predict patterns of beta diversity in regional biodiversity assessment. Diversity and Distributions 13, 252264.Google Scholar
Fricke, EC, Svenning, JC (2020) Accelerating homogenization of the global plant–frugivore meta-network. Nature 585, 7478.Google Scholar
Fridley, JD, et al. (2007) The invasion paradox: Reconciling pattern and process in species invasions. Ecology 88, 317.Google Scholar
Fronhofer, EA, et al. (2012) Why are metapopulations so rare? Ecology 93, 19671978.CrossRefGoogle ScholarPubMed
Gaertner, M, et al. (2009) Impacts of alien plant invasions on species richness in Mediterranean-type ecosystems: A meta-analysis. Progress in Physical Geography 33, 319338.Google Scholar
Galiana, N, et al. (2018) The spatial scaling of species interaction networks. Nature Ecology and Evolution 2, 782790.Google Scholar
Gilarranz, LJ (2020) Generic emergence of modularity in spatial networks. Scientific Reports 10, 8708.CrossRefGoogle ScholarPubMed
González-Olivares, E, Ramos-Jiliberto, R (2003) Dynamic consequences of prey refuges in a simple model system: More prey, fewer predators and enhanced stability. Ecological Modelling 166, 135146.Google Scholar
Gravel, D, Massol, F, Leibold, MA (2016) Stability and complexity in model meta-ecosystems. Nature Communications 7, 12457.CrossRefGoogle ScholarPubMed
Guisan, A, et al. (2013) Predicting species distributions for conservation decisions. Ecology Letters 16, 14241435.Google Scholar
Gurevitch, J, et al. (2016) Landscape demography: Population change and its drivers across spatial scales. Quarterly Review of Biology 91, 451485.CrossRefGoogle ScholarPubMed
Han, XZ, Hui, C (2014) Niche construction on environmental gradients: The formation of fitness valley and stratified genotypic distributions. PLoS ONE 9, e99775.Google Scholar
Hansen, BB, et al. (2020) The Moran effect revisited: Spatial population synchrony under global warming. Ecography 43, 15911602.Google Scholar
Hanski, I (1998) Metapopulation dynamics. Nature 396, 4149.Google Scholar
Hanski, I, Gilpin, ME (1997) Metapopulation Biology: Ecology, Genetics, and Evolution. San Diego: Academic Press.Google Scholar
Hanski, I, Ovaskainen, O (2000) The metapopulation capacity of a fragmented landscape. Nature 404, 755758.Google Scholar
Haywood, AM, et al. (2019) What can palaeoclimate modelling do for you? Earth Systems and Environment 3, 118.Google Scholar
He, F, Gaston, KJ (2000) Estimating species abundance from occurrence. American Naturalist 156, 553559.CrossRefGoogle ScholarPubMed
Hobbs, RJ, Higgs, E, Harris, JA (2009) Novel ecosystems: Implications for conservation and restoration. Trends in Ecology & Evolution 24, 599605.Google Scholar
Hubbell, SP, et al. (1999) Light-gap disturbances, recruitment limitation, and tree diversity in a Neotropical forest. Science 283, 554557.Google Scholar
Hubbell, SP, et al. (2005) Barro Colorado Forest Census Plot Data. Center for Tropical Forest Science. https://ctfs.arnarb.harvard.edu/webatlas/datasets/bci.Google Scholar
Hui, C (2009) On the scaling pattern of species spatial distribution and association. Journal of Theoretical Biology 261, 481487.CrossRefGoogle ScholarPubMed
Hui, C (2011) Forecasting population trend from the scaling pattern of occupancy. Ecological Modelling 222, 442446.Google Scholar
Hui, C (2021) Introduced species shape insular mutualistic networks. Proceedings of the National Academy of Sciences USA 118, e2026396118.Google Scholar
Hui, C, McGeoch, MA (2006) Evolution of body size, range size, and food composition in a predator–prey metapopulation. Ecological Complexity 3, 148159.CrossRefGoogle Scholar
Hui, C, McGeoch, MA (2014) Zeta diversity as a concept and metric that unifies incidence-based biodiversity patterns. The American Naturalist 184, 684694.CrossRefGoogle ScholarPubMed
Hui, C, Richardson, DM (2017) Invasion Dynamics. Oxford: Oxford University Press.CrossRefGoogle Scholar
Hui, C, et al. (2006) A spatially explicit approach to estimating species occupancy and spatial correlation. Journal of Animal Ecology 75, 140147.Google Scholar
Hui, C, et al. (2009) Extrapolating population size from the occupancy-abundance relationship and the scaling pattern of occupancy. Ecological Applications 19, 20382048.Google Scholar
Hui, C, et al. (2011) Macroecology meets invasion ecology: Linking the native distributions of Australian acacias to invasiveness. Diversity and Distributions 17, 872883.Google Scholar
Hui, C, et al. (2012a) Estimating changes in species abundance from occupancy and aggregation. Basic and Applied Ecology 13, 169177.Google Scholar
Hui, C, et al. (2012b) Flexible dispersal strategies in native and non-native ranges: Environmental quality and the ‘good-stay, bad-disperse’ rule. Ecography 35, 10241032.Google Scholar
Hui, C, et al. (2013) A cross-scale approach for abundance estimation of invasive alien plants in a large protected area. In Foxcroft, LC, Pyšek, P, Richardson, DM, Genovesi, P (eds.), Plant Invasions in Protected Areas, pp. 7388. Dordrecht: Springer.Google Scholar
Hui, C, et al. (2013) Increasing functional modularity with residence time in the co-distribution of native and introduced vascular plants. Nature Communications 4, 2454.Google Scholar
Hui, C, et al. (2014) Macroecology meets invasion ecology: Performance of Australian acacias and eucalypts around the world revealed by features of their native ranges. Biological Invasions 16, 565576.Google Scholar
Hui, C, et al. (2017) Scale-dependent portfolio effects explain growth inflation and volatility reduction in landscape demography. Proceedings of the National Academy of Sciences USA 114, 1250712511.Google Scholar
Hui, C, et al. (2020) The role of biotic interactions in invasion ecology: Theories and hypotheses. In Traveset, A, Richardson, DM (eds.), Plant Invasions: The Role of Biotic Interactions, pp. 2644. Wallingford: CAB International.Google Scholar
Ims, RA, Andreassen, HP (2000) Spatial synchronization of vole population dynamics by predatory birds. Nature 408, 194196.Google Scholar
Jansen, VAA (2001) The dynamics of two diffusively coupled predator–prey populations. Theoretical Population Biology 59, 119131.Google Scholar
Kubisch, A, et al. (2014) Where am I and why? Synthesizing range biology and the eco-evolutionary dynamics of dispersal. Oikos 123, 522.Google Scholar
Kunin, WE, et al. (2018) Upscaling biodiversity: estimating the species–area relationship from small samples. Ecological Monographs 88, 170187.Google Scholar
Latombe, G, et al. (2018) Drivers of species turnover vary with species commonness for native and alien plants with different residence times. Ecology 99, 27632775.Google Scholar
Latombe, G, Hui, C, McGeoch, MA (2017) Multi-site generalised dissimilarity modelling: using zeta diversity to differentiate drivers of turnover in rare and widespread species. Methods in Ecology and Evolution 8, 431442.CrossRefGoogle Scholar
Latombe, G, Roura-Pascual, N, Hui, C (2019) Similar compositional turnover but distinct insular environmental and geographical drivers of native and exotic ants in two oceans. Journal of Biogeography 46, 22992310.Google Scholar
Legendre, P, Legendre, L (1998) Numerical Ecology, 2nd Edition. Amsterdam: Elsevier.Google Scholar
Levine, JM (2000) Species diversity and biological invasions: Relating local process to community pattern. Science 288, 852854.Google Scholar
Levine, JM (2003) Local interactions, dispersal, and native and exotic plant diversity along a California stream. Oikos 95, 397408.Google Scholar
Levins, R (1969) Some demographic and genetic consequences of environmental heterogeneity for biological control. Bulletin of the Entomological Society of America 15, 237240.Google Scholar
Li, Z, et al. (2005) Impact of predator pursuit and prey evasion on synchrony and spatial patterns in metapopulation. Ecological Modelling 185, 245254.Google Scholar
Liebhold, A, Koenig, WD, Bjørnstad, ON (2004) Spatial synchrony in population dynamics. Annual Review of Ecology, Evolution, and Systematics 35, 467490.Google Scholar
Lui, C, et al. (2020) Species distribution models have limited spatial transferability for invasive species. Ecology Letters 23, 16821692.Google Scholar
Mack, RN, et al. (2000) Biotic invasions: Causes, epidemiology, global consequences and control. Ecological Applications 10, 689710.Google Scholar
Martinez, ND (1992) Constant connectance in community food webs. American Naturalist 139, 12081218.CrossRefGoogle Scholar
McGeoch, MA, et al. (2019) Measuring continuous compositional change using decline and decay in zeta diversity. Ecology 100, ee02832.Google Scholar
McGill, BJ (2010) Matters of scale. Science 328, 575576.Google Scholar
Melbourne, BA, et al. (2007) Invasion in a heterogeneous world: Resistance, coexistence or hostile takeover? Ecology Letters 10, 7794.Google Scholar
Meynard, CN, et al. (2013) Disentangling the drivers of metacommunity structure across spatial scales. Journal of Biogeography 40, 15601571.Google Scholar
Mohammed, MMA, et al. (2018) Frugivory and seed dispersal: Extended bi-stable persistence and reduced clustering of plants. Ecological Modelling 380, 3139.Google Scholar
Moran, PAP (1953) The statistical analysis of the Canadian Lynx cycle. Australian Journal of Zoology 1, 291298.CrossRefGoogle Scholar
Morlon, H, et al. (2008) A general framework for the distance-decay of similarity in ecological communities. Ecology Letters 11, 904917.Google Scholar
Mucina, L (2019) Biome: Evolution of a crucial ecological and biogeographical concept. New Phytologist 222, 97114.Google Scholar
Munkmuller, T, Johst, K (2008) Spatial synchrony through density independent versus density-dependent dispersal. Journal of Biological Dynamics 2, 3139.Google Scholar
Naeem, S, et al. (2000) Plant diversity increases resistance to invasion in the absence of covarying extrinsic factors. Oikos 91, 97108.Google Scholar
Nguyen-Huu, T, et al. (2006) Spatial synchrony in host–parasitoid models using aggregation of variables. Mathematical Biosciences 203, 204221.Google Scholar
Olson, DM, et al. (2001) Terrestrial ecoregions of the world: A new map of life on Earth. Bioscience 51, 933938.Google Scholar
Openshaw, S (1984) Modifiable Areal Unit Problem. Norwich: Geo Books.Google Scholar
Oshanin, G, et al. (2009) Survival of an evasive prey. Proceedings of the National Academy of Sciences USA 106, 1369613701.Google Scholar
Palmer, MW, Maurer, TA (1997) Does diversity beget diversity? A case study of crops and weeds. Journal of Vegetation Science 8, 235240.Google Scholar
Peterson, AT, Soberón, J (2012) Species distribution modeling and ecological niche modeling: Getting the concepts right. Natureza & Conservação 10, 102107.Google Scholar
Peterson, AT, et al. (2011) Ecological Niches and Geographic Distributions. Princeton: Princeton University Press.CrossRefGoogle Scholar
Pocock, MJO, et al. (2012) The robustness and restoration of a network of ecological networks. Science 335, 973977.Google Scholar
Poisot, T, Stouffer, DB, Gravel, D (2014) Beyond species: Why ecological interaction networks vary through space and time. Oikos 124, 243251.Google Scholar
Pyšek, P, et al. (2005) Alien plants in temperate weed communities: Prehistoric and recent invaders occupy different habitats. Ecology 86, 772785.CrossRefGoogle Scholar
Pyšek, P, et al. (2010) Disentangling the role of environmental and human pressures on biological invasions across Europe. Proceedings of the National Academy of Sciences USA 107, 1215712162.Google Scholar
Pyšek, P, et al. (2012) Catalogue of alien plants of the Czech Republic (2nd edn): Checklist update, taxonomic diversity and invasion patterns. Preslia 84, 155255.Google Scholar
Pyšek, P, Richardson, DM (2006) The biogeography of naturalization in alien plants. Journal of Biogeography 33, 20402050.Google Scholar
Ramanantoanina, A, et al. (2011) Effects of density-dependent dispersal behaviours on the speed and spatial patterns of range expansion in predator–prey metapopulations. Ecological Modelling 222, 35243530.Google Scholar
Renne, IJ, Tracy, BF, Colonna, IA (2006) Shifts in grassland invasibility: Effects of soil resources disturbance, composition, and invader size. Ecology 87, 22642277.Google Scholar
Richardson, DM (2011) Invasion science: The roads travelled and the roads ahead. In Richardson, DM (ed.), Fifty Years of Invasion Ecology: The Legacy of Charles Elton, pp. 397407. Oxford: Wiley-Blackwell.Google Scholar
Richardson, DM, Pyšek, P (2012) Naturalization of introduced plants: Ecological drivers of biogeographic patterns. New Phytologist 196, 383396.Google Scholar
Richardson, DM, et al. (2005) Species richness of alien plants in South Africa: Environmental correlates and the relationship with indigenous plant species richness. EcoScience 12, 391402.Google Scholar
Richardson, DM, et al. (2020). The biogeography of South African terrestrial plant invasions. In Van Wilgen, BW, Measey, J, Richardson, DM, et al. (eds.), Biological Invasions in South Africa, pp. 6796. Berlin: Springer.CrossRefGoogle Scholar
Rodger, JG, et al. (2018) Heterogeneity in local density allows a positive evolutionary relationship between self-fertilisation and dispersal. Evolution 72, 17841800.Google Scholar
Rouget, M, Richardson, DM (2003) Understanding patterns of plant invasion at different spatial scales: Quantifying the roles of environment and propagule pressure. In Child, L, et al. (eds.), Plant Invasions: Ecological Threats and Management Solutions, pp. 315. Leiden: Backhuys Publishers.Google Scholar
Rouget, M, et al. (2015) Plant invasions as a biogeographical assay: Vegetation biomes constrain the distribution of invasive alien species assemblages. South African Journal of Botany 101, 2431.Google Scholar
Roura-Pascual, N, Sanders, NJ, Hui, C (2016) The distribution and diversity of insular ants: Do exotic species play by different rules? Global Ecology and Biogeography 25,642654.Google Scholar
Sax, DF, et al. (2007) Ecological and evolutionary insights from species invasions. Trends in Ecology & Evolution 22, 465471.Google Scholar
Schmid-Araya, JM, et al. (2002) Connectance in stream food webs. Journal of Animal Ecology 71, 10561062.Google Scholar
Seebens, H, et al. (2017) No saturation in the accumulation of alien species worldwide. Nature Communications 8, 14435.Google Scholar
Shea, K, Chesson, P (2002) Community ecology theory as a framework for biological invasions. Trends in Ecology & Evolution 17, 170176.Google Scholar
Shekhtman, L, et al. (2018) Robustness of spatial networks and networks of networks. Comptes Rendus Physique 19, 233243.Google Scholar
Shekhtman, LM, et al. (2014) Robustness of a network formed of spatially embedded networks. Physical Review E 90, 012809.Google Scholar
Simberloff, D, Von Holle, B (1999) Positive interactions of nonindigenous species: Invasional meltdown? Biological Invasions 1, 2132.Google Scholar
Soininen, J, et al. (2007) The distance decay of similarity in ecological communities. Ecography 30, 312.Google Scholar
Steidinger, BS, et al. (2019) Climatic controls of decomposition drive the global biogeography of forest-tree symbioses. Nature 569, 404408.Google Scholar
Stohlgren, TJ, Barnett, DT, Kartesz, JT (2003) The rich get richer: Patterns of plant invasions in the United States. Frontiers in Ecology and the Environment 1, 1114.Google Scholar
Stone, L (2018) The feasibility and stability of large complex biological networks: a random matrix approach. Scientific Reports 8, 8246.Google Scholar
Stotz, GC, et al. (2020) Not a melting pot: Plant species aggregate in their non-native range. Global Ecology and Biogeography 29, 482490.Google Scholar
Tilman, D (1994) Competition and biodiversity in spatially structured habitats. Ecology 75, 216.Google Scholar
Tilman, D (2004) Niche tradeoffs, neutrality, and community structure: A stochastic theory of resource competition, invasion, and community assembly. Proceedings of the National Academy of Sciences of the United States of America 101, 1085410861.Google Scholar
Traveset, A, et al. (2013) Invaders of pollination networks in the Galápagos Islands: Emergence of novel communities. Proceedings of the Royal Society B: Biological Sciences 280, 20123040.Google Scholar
Vaknin, D, et al. (2017) Spreading of localized attacks in spatial multiplex networks. New Journal of Physics 19, 073037.Google Scholar
Van Kleunen, M, et al. (2010) Are invaders different? A conceptual framework of comparative approaches for assessing determinants of invasiveness. Ecology Letters 13, 947958.Google Scholar
Van Wilgen, BW, et al. (2011) National-scale strategic approaches for managing introduced plants: Insights from Australian acacias in South Africa. Diversity and Distributions 17, 10601075.Google Scholar
Vasseur, DA, Fox, JW (2009) Phase-locking and environmental fluctuations generate synchrony in a predator–prey community. Nature 460, 10071010.Google Scholar
Vicente, JR, et al. (2019) Different environmental drivers of alien tree invasion affect different life-stages and operate at different spatial scales. Forest Ecology and Management 433, 263275.Google Scholar
Vilà, M, et al. (2011) Ecological impacts of invasive alien plants: A meta-analysis of their effects on species, communities and ecosystems. Ecology Letters 14, 702708.Google Scholar
Vizentin-Bugoni, J, et al. (2019) Structure, spatial dynamics, and stability of novel seed dispersal mutualistic networks in Hawai’i. Science 364, 7882.Google Scholar
Vizentin-Bugoni, J, et al. (2021) Ecological correlates of species’ roles in highly invaded seed dispersal networks. Proceedings of the National Academy of Sciences USA 118, e2009532118.Google Scholar
Wickman, J, et al. (2020) How geographic productivity patterns affect food-web evolution. Journal of Theoretical Biology 506, 110374.Google Scholar
Willig, MR, Kaufman, DM, Stevens, RD (2003) Latitudinal gradients of biodiversity: Pattern, process, scale and synthesis. Annual Review of Ecology, Evolution, and Systematics 34, 273309.Google Scholar
Wilson, JRU, et al. (2009) Something in the way you move: Dispersal pathways affect invasion success. Trends in Ecology & Evolution 24, 136144.Google Scholar
Wilson, RJ, et al. (2004) Spatial patterns in species distributions reveal biodiversity change. Nature 432, 393396.Google Scholar
Wright, DH (1991) Correlations between incidence and abundance are expected by chance. Journal of Biogeography 18, 463466.Google Scholar
Wright, S (1943) Isolation by distance. Genetics 28, 114138.Google Scholar
Zhao, Z, et al. (2019) The failure of success: cyclic recurrences of a globally invasive pest. Ecological Applications 29, ee01991.Google Scholar

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  • Network Scaling
  • Cang Hui, Stellenbosch University, South Africa, David Richardson, Stellenbosch University, South Africa
  • Book: Invading Ecological Networks
  • Online publication: 05 May 2022
  • Chapter DOI: https://doi.org/10.1017/9781108778374.007
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  • Network Scaling
  • Cang Hui, Stellenbosch University, South Africa, David Richardson, Stellenbosch University, South Africa
  • Book: Invading Ecological Networks
  • Online publication: 05 May 2022
  • Chapter DOI: https://doi.org/10.1017/9781108778374.007
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  • Network Scaling
  • Cang Hui, Stellenbosch University, South Africa, David Richardson, Stellenbosch University, South Africa
  • Book: Invading Ecological Networks
  • Online publication: 05 May 2022
  • Chapter DOI: https://doi.org/10.1017/9781108778374.007
Available formats
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