Predicting biodiversity richness in rapidly changing landscapes: climate, low human pressure or protection as salvation?
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Macdonald, David W.; Chiaverini, Luca; Bothwell, Helen; Kaszta, Żaneta; Ash, Eric; Bolongon, Gilmoore; Can, Özgün Emre; Campos-Arceiz, Ahimsa; Channa, Phan; Clements, Gopalasamy Reuben; Hearn, Andrew J.; Hedges, Laurie; Htun, Saw; Kamler, Jan F.; Macdonald, Ewan A.; Moore, Jonathan; Naing, Hla; Onuma, Manabu; Rasphone, Akchousanh; Rayan, D. Mark; Ross, Joanna; Singh, Priya; Tan, Cedric Kai Wei; Wadey, Jamie; Yadav, Bhupendra P.; Cushman, Samuel A.
Description
Rates of biodiversity loss in Southeast Asia are among the highest in the world, and the Indo-Burma and South-Central China Biodiversity Hotspots rank among the world’s most threatened. Developing robust multi-species conservation models is critical for stemming biodiversity loss both here and globally. We used a large and geographically extensive remote-camera survey and multi-scale, multivariate optimization species distribution modelling to investigate the factors driving biodiversity...[Show more]
Collections | ANU Research Publications |
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Date published: | 2020-10-09 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/259001 |
Source: | Biodiversity and Conservation |
DOI: | 10.1007/s10531-020-02062-x |
Access Rights: | Open Access |
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Macdonald2020_Article_PredictingBiodiversityRichness.pdf | 3.16 MB | Adobe PDF |
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