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Multiple-scale prediction of forest loss risk across Borneo

Abstract:
Context The forests of Borneo have among the highest biodiversity and also the highest forest loss rates on the planet. Objectives Our objectives were to: (1) compare multiple modelling approaches, (2) evaluate the utility of landscape composition and configuration as predictors, (3) assess the influence of the ratio of forest loss and persistence points in the training sample, (4) identify the multiple-scale drivers of recent forest loss and (5) predict f... Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1007/s10980-017-0520-0

Authors


Cushman, SA More by this author
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Department:
Oxford, MPLS, Zoology
Landguth, EL More by this author
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Department:
Oxford, SSD, SOGE, Environmental Change Institute
Macdonald, DW More by this author
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Funding agency for:
Macdonald, E
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Funding agency for:
Macdonald, E
More from this funder
Funding agency for:
Macdonald, E
Publisher:
Springer Netherlands Publisher's website
Journal:
Landscape Ecology Journal website
Volume:
32
Issue:
8
Pages:
1581–1598
Publication date:
2017-05-18
Acceptance date:
2017-04-07
DOI:
EISSN:
1572-9761
ISSN:
0921-2973
Pubs id:
pubs:698558
URN:
uri:dcda9ee5-d559-4230-ac2a-a3f29fe65f63
UUID:
uuid:dcda9ee5-d559-4230-ac2a-a3f29fe65f63
Local pid:
pubs:698558

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