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Predicting biodiversity change and averting collapse in agricultural landscapes

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Mendenhall, Chase D., Karp, Daniel S., Meyer, Christoph F. J., Hadly, Elizabeth A., Daily, Gretchen C.·2014·Nature

Abstract

The equilibrium theory of island biogeography is the basis for estimating extinction rates and a pillar of conservation science. The default strategy for conserving biodiversity is the designation of nature reserves, treated as islands in an inhospitable sea of human activity. Despite the profound influence of islands on conservation theory and practice, their mainland analogues, forest fragments in human-dominated landscapes, consistently defy expected biodiversity patterns based on island biogeography theory. Countryside biogeography is an alternative framework, which recognizes that the fate of the world’s wildlife will be decided largely by the hospitality of agricultural or countryside ecosystems. Here we directly test these biogeographic theories by comparing a Neotropical countryside ecosystem with a nearby island ecosystem, and show that each supports similar bat biodiversity in fundamentally different ways. The island ecosystem conforms to island biogeographic predictions of bat species loss, in which the water matrix is not habitat. In contrast, the countryside ecosystem has high species richness and evenness across forest reserves and smaller forest fragments. Relative to forest reserves and fragments, deforested countryside habitat supports a less species-rich, yet equally even, bat assemblage. Moreover, the bat assemblage associated with deforested habitat is compositionally novel because of predictable changes in abundances by many species using human-made habitat. Finally, we perform a global meta-analysis of bat biogeographic studies, spanning more than 700 species. It generalizes our findings, showing that separate biogeographic theories for countryside and island ecosystems are necessary. A theory of countryside biogeography is essential to conservation strategy in the agricultural ecosystems that comprise roughly half of the global land surface and are likely to increase even further.

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Research works printed but not linked: 49

  1. MacArthur, R. & Wilson, E. The Theory of Island Biogeography 203 (Princeton Univ. Press, 1967)
  2. Millennium Ecosystem Assessment. Ecosystems and Human Well-being (Island Press and World Resources Institute, 2005)
  3. Simberloff, D. & Abele, L. Island biogeography theory and conservation practice. Science 191, 285–286 (1976) · DOI · Paper page
  4. Hanski, I. & Gilpin, M. Metapopulation dynamics. Biol. J. Linn. Soc. 42, 3–16 (1991) · DOI · Paper page
  5. Wilson, E. & Willis, E. in Ecology and Evolution of Communities (eds Cody, M. L. & Diamond, J. M. ) 522–534 (Belknap, 1975)
  6. Laurance, W. F. et al. Ecosystem decay of Amazonian forest fragments. Conserv. Biol. 16, 605–618 (2002) · DOI · Paper page
  7. Debinski, D. & Holt, R. A survey and overview of habitat fragmentation experiments. Conserv. Biol. 14, 342–355 (2000) · DOI · Paper page
  8. Laurance, W. Theory meets reality: How habitat fragmentation research has transcended island biogeographic theory. Biol. Conserv. 141, 1731–1744 (2008) · DOI · Paper page
  9. Lomolino, M. A call for a new paradigm of island biogeography. Glob. Ecol. Biogeogr. 9, 1–6 (2000) · DOI · Paper page
  10. Fahrig, L. Rethinking patch size and isolation effects. J. Biogeogr. 40, 1649–1663 (2013) · DOI · Paper page
  11. Pereira, H. & Daily, G. Modeling biodiversity dynamics in countryside landscapes. Ecology 87, 1877–1885 (2006) · DOI · Paper page
  12. Guilherme, J. & Pereira, H. Adaptation of bird communities to farmland abandonment in a mountain landscape. PLoS ONE 8, e73619 (2013) · DOI
  13. Mendenhall, C., Kappel, C. & Ehrlich, P. in Encyclopedia of Biodiversity (ed. Levin, S. ) 347–360 (Elsevier, 2013) · DOI
  14. Perfecto, I., Vandermeer, J. & Wright, A. Nature’s Matrix: Linking Agriculture, Conservation and Food Sovereignty 242 (Earthscan, 2009) · DOI · Paper page
  15. Daily, G. Ecological forecasts. Nature 411, 245 (2001) · DOI
  16. Daily, G., Ceballos, G., Pacheco, J., Suzán, G. & Sánchez-Azofeifa, A. Countryside biogeography of Neotropical mammals. Conserv. Biol. 17, 1814–1826 (2003) · DOI · Paper page
  17. Kueffer, C. & Kaiser-Bunbury, C. Reconciling conflicting perspectives for biodiversity conservation in the Anthropocene. Front. Ecol. Environ 10.1890/120201. (2013) · DOI
  18. Kareiva, P. & Marvier, M. What is conservation science? Bioscience 62, 962–969 (2012) · DOI · Paper page
  19. He, F. & Hubbell, S. Species–area relationships always overestimate extinction rates from habitat loss. Nature 473, 368–371 (2011) · DOI · Paper page
  20. Gibson, L. et al. Near-complete extinction of native small mammal fauna 25 years after forest fragmentation. Science 341, 1508–1510 (2013) · DOI · Paper page
  21. Heise, U. Sense of Place and Sense of Planet: The Environmental Imagination of the Global 250 (Oxford Univ. Press, 2008) · DOI · Paper page
  22. Tscharntke, T. et al. Global food security, biodiversity conservation and the future of agricultural intensification. Biol. Conserv. 151, 53–59 (2012) · DOI · Paper page
  23. Rosenzweig, M. Win–Win Ecology: How the Earth’s Species Can Survive in the Midst of Human Enterprise 211 (Oxford Univ. Press, 2003) · DOI · Paper page
  24. Meyer, C. & Kalko, E. Assemblage-level responses of phyllostomid bats to tropical forest fragmentation. J. Biogeogr. 35, 1711–1726 (2008) · DOI · Paper page
  25. MacArthur, R., Diamond, J. & Karr, J. Density compensation in island faunas. Ecology 53, 330–342 (1972) · DOI · Paper page
  26. Reid, J., Holste, E. & Zahawi, R. Artificial bat roosts did not accelerate forest regeneration in abandoned pastures in southern Costa Rica. Biol. Conserv. 167, 9–16 (2013) · doi:10.1016/j.biocon.2013.06.026
  27. Karp, D. et al. Intensive agriculture erodes β-diversity at large scales. Ecol. Lett. 15, 963–970 (2012) · DOI · Paper page
  28. Rybicki, J. & Hanski, I. Species–area relationships and extinctions caused by habitat loss and fragmentation. Ecol. Lett. 16, 27–38 (2013) · DOI · Paper page
  29. Stiles, F. & Skutch, A. A Guide to the Birds of Costa Rica 632 (Instituto Nacional de Biodiversidad, 1989)
  30. Holdridge, L. R. Life Zone Ecology 146 (Tropical Science Center, 1979)
  31. Mendenhall, C., Sekercioglu, C., Oviedo Brenes, F., Ehrlich, P. & Daily, G. Predictive model for sustaining biodiversity in tropical countryside. Proc. Natl Acad. Sci. USA 108, 16313–16316 (2011) · DOI
  32. Sansonetti, V. Quemé Mis Naves en estas Montañas: La Colonización de la Altiplanicie de Coto Brus y la Funcadión de San Vito de Java 99 (Jiménez & Tanzi, 1995)
  33. Clement, R. & Horn, S. Pre-Columbian land-use history in Costa Rica. Holocene 11, 419–426 (2001) · DOI
  34. Mann, C. 1491: New Revelations of the Americas before Columbus 541 (Knopf, 2005)
  35. Kunz, T. & Parsons, P. Ecological and Behavioral Methods for the Study of Bats 920 (Johns Hopkins Univ. Press, 2011)
  36. Leigh, E., Jr, Rand, S. & Windsor, D. The Ecology of a Tropical Forest: Seasonal Rhythms and Long-Term changes 480 (Smithsonian Institution Press, 1982)
  37. Bonaccorso, F., Smythe, N. & Humphrey, S. Improved techniques for marking bats. J. Mamm. 57, 181–182 (1976) · doi:10.2307/1379526
  38. Leigh, E., Jr, Wright, S., Herre, E. & Putz, F. The decline of tree diversity on newly isolated tropical islands. Evol. Ecol. 7, 76–102 (1993) · DOI · Paper page
  39. Handley, C., Jr, Wilson, D. & Gardner, A. Demography and Natural History of the Common Fruit Bat, Artibeus jamaicensis, on Barro Colorado Island, Panama 173 (Smithsonian Institution Press, 1991)
  40. Mendenhall, C., Daily, G. & Ehrlich, P. Improving estimates of biodiversity loss. Biol. Conserv. 151, 32–34 (2012) · DOI
  41. Daily, G. C., Ehrlich, P. R. & Sánchez-Azofeifa, G. A. Countryside biogeography: use of human-dominated habitats by the avifauna of southern Costa Rica. Ecol. Appl. 11, 1–13 (2001) · DOI · Paper page
  42. Ricketts, T., Daily, G., Ehrlich, P. & Fay, J. Countryside biogeography of moths in a fragmented landscape. Conserv. Biol. 15, 378–388 (2001) · DOI · Paper page
  43. Horner-Devine, M., Daily, G., Ehrlich, P. & Boggs, C. Countryside biogeography of tropical butterflies. Conserv. Biol. 17, 168–177 (2003) · DOI
  44. Mayfield, M. & Daily, G. Countryside biogeography of Neotropical herbaceous and shrubby plants. Ecol. Appl. 15, 423–439 (2005) · DOI
  45. Brosi, B., Daily, G., Shih, T., Oviedo Brenes, F. & Duran, G. The effects of forest fragmentation on bee communities in tropical countryside. J. Appl. Ecol. 45, 773–783 (2008) · DOI · Paper page
  46. Fahrig, L. Rethinking patch size and isolation effects. J. Biogeogr. 40, 1649–1663 (2013) · DOI · Paper page
  47. Chao, A. Estimating the population size for capture-recapture data with unequal catchability. Biometrics 43, 783–791 (1987) · DOI · Paper page
  48. Chao, A., Chazdon, R., Colwell, R. & Shen, T. A new statistical approach for assessing similarity of species composition with incidence and abundance data. Ecol. Lett. 8, 148–159 (2005) · DOI · Paper page
  49. Zuur, A., Ieno, E., Walker, N., Saveliev, A. & Smith, G. Mixed Effects Models and Extensions in Ecology with R 574 (Springer, 2009) · DOI · Paper page

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Metadata

Authors
Mendenhall, C. D., Karp, D. S., Meyer, C. F. J., Hadly, E. A., & Daily, G. C.
Venue
Nature
Published
2014-04-16
Volume
509
Issue
7499
Pages
213-217
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2022008036
Cited by
331
References
3
FWCI
37.81
Type
journal article
Language
en
Open access
green
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CoChat. (2026). Citation check: Predicting biodiversity change and averting collapse in agricultural landscapes. https://app.cochat.ai/papers/10.1038/nature13139
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Mendenhall, C. D., Karp, D. S., Meyer, C. F. J., Hadly, E. A., & Daily, G. C. (2014). Predicting biodiversity change and averting collapse in agricultural landscapes. Nature. https://doi.org/10.1038/nature13139

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