气候变化领域集成服务门户(CCPortal): The allometry of movement predicts the connectivity of communities

CCPortal

DOI	10.1073/pnas.2001614117
	The allometry of movement predicts the connectivity of communities
	Hartfelder J.; Reynolds C.; Stanton R.A.; Sibiya M.; Monadjem A.; McCleery R.A.; Fletcher R.J.; Jr.
发表日期	2020
ISSN	0027-8424
起始页码	22274
结束页码	22280
卷号	117 期号:36
英文摘要	Connectivity has long played a central role in ecological and evolutionary theory and is increasingly emphasized for conserving biodiversity. Nonetheless, connectivity assessments often focus on individual species even though understanding and preserving connectivity for entire communities is urgently needed. Here we derive and test a framework that harnesses the well-known allometric scaling of animal movement to predict community-level connectivity across protected area networks. We used a field translocation experiment involving 39 species of southern African birds to quantify movement capacity, scaled this relationship to realized dispersal distances determined from ring-and-recovery banding data, and used allometric scaling equations to quantify community-level connectivity based on multilayer network theory. The translocation experiment explained observed dispersal distances from ring-recovery data and emphasized allometric scaling of dispersal based on morphology. Our community-level networks predicted that larger-bodied species had a relatively high potential for connectivity, while small-bodied species had lower connectivity. These community networks explained substantial variation in observed bird diversity across protected areas. Our results highlight that harnessing allometric scaling can be an effective way of determining large-scale community connectivity. We argue that this trait-based framework founded on allometric scaling provides a means to predict connectivity for entire communities, which can foster empirical tests of community theory and contribute to biodiversity conservation strategies aimed at mitigating the effects of environmental change. © 2020 National Academy of Sciences. All rights reserved.
英文关键词	Birds; Dispersal; Landscape; Network; Translocation experiment
语种	英语
scopus关键词	allometry; article; bird; community care; conservation biology; environmental change; nonhuman; theoretical study; animal; animal dispersal; biological model; bird; ecosystem; physiology; Animal Distribution; Animals; Birds; Ecosystem; Models, Biological
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/160819
作者单位	Hartfelder, J., Interdisciplinary Program in Ecology, University of Florida, Gainesville, FL 32611, United States; Reynolds, C., School of Animal, Plant and Environmental Science, University of the Witwatersrand, Braamfontein, Johannesburg, 2000, South Africa, FitzPatrick Institute of African Ornithology, Department of Science and Technology, National Research Foundation (DST/NRF), Centre of Excellence, University of Cape Town, Rondebosch, Cape Town, 7700, South Africa; Stanton, R.A., Interdisciplinary Program in Ecology, University of Florida, Gainesville, FL 32611, United States; Sibiya, M., Interdisciplinary Program in Ecology, University of Florida, Gainesville, FL 32611, United States; Monadjem, A., Department of Biological Sciences, University of Eswatini, Kwaluseni, M202, Swaziland, Mammal Research Institute, Department of Zoology and Entomology, University of Pretoria, Hatfield, Pretoria, 0028, South Africa; McCleery, R.A., Mammal Research Institute, Department of Zoology and Entomology, Univer...
推荐引用方式 GB/T 7714	Hartfelder J.,Reynolds C.,Stanton R.A.,et al. The allometry of movement predicts the connectivity of communities[J],2020,117(36).
APA	Hartfelder J..,Reynolds C..,Stanton R.A..,Sibiya M..,Monadjem A..,...&Jr..(2020).The allometry of movement predicts the connectivity of communities.Proceedings of the National Academy of Sciences of the United States of America,117(36).
MLA	Hartfelder J.,et al."The allometry of movement predicts the connectivity of communities".Proceedings of the National Academy of Sciences of the United States of America 117.36(2020).