Please use this identifier to cite or link to this item: https://doi.org/10.1111/ele.12943
Title: Species–area relationships and biodiversity loss in fragmented landscapes
Authors: Chisholm, R.A 
Lim, F 
Yeoh, Y.S
Seah, W.W 
Condit, R
Rosindell, J
Keywords: biodiversity
Brazil
ecosystem
environmental protection
forest
Panama
tree
Biodiversity
Brazil
Conservation of Natural Resources
Ecosystem
Forests
Panama
Trees
Issue Date: 2018
Citation: Chisholm, R.A, Lim, F, Yeoh, Y.S, Seah, W.W, Condit, R, Rosindell, J (2018). Species–area relationships and biodiversity loss in fragmented landscapes. Ecology Letters 21 (6) : 804-813. ScholarBank@NUS Repository. https://doi.org/10.1111/ele.12943
Abstract: To estimate species loss from habitat destruction, ecologists typically use species–area relationships, but this approach neglects the spatial pattern of habitat fragmentation. Here, we provide new, easily applied, analytical methods that place upper and lower bounds on immediate species loss at any spatial scale and for any spatial pattern of habitat loss. Our formulas are expressed in terms of what we name the ‘Preston function’, which describes triphasic species–area relationships for contiguous regions. We apply our method to case studies of deforestation and tropical tree species loss at three different scales: a 50 ha forest plot in Panama, the tropical city-state of Singapore and the Brazilian Amazon. Our results show that immediate species loss is somewhat insensitive to fragmentation pattern at small scales but highly sensitive at larger scales: predicted species loss in the Amazon varies by a factor of 16 across different spatial structures of habitat loss. © 2018 The Authors. Ecology Letters published by CNRS and John Wiley & Sons Ltd
Source Title: Ecology Letters
URI: https://scholarbank.nus.edu.sg/handle/10635/175380
ISSN: 1461-023X
DOI: 10.1111/ele.12943
Appears in Collections:Staff Publications
Elements

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_1111_ele_12943.pdf3.88 MBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.