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Data from: Multi-scale habitat modeling identifies spatial conservation priorities for mainland clouded leopards (Neofelis nebulosa) (Dataset)
| Content Provider | Dryad |
|---|---|
| Author | Macdonald, David Bothwell, Helen Kaszta, Zaneta Ash, Eric Bolongon, Gilmoore Burnham, Dawn Can, Ozgun Campos-Arceiz, Ahimsa Channa, Phan Clements, Gopalasamy Hearn, Andrew Hedges, Laurie Htun, Saw Kamler, Jan Kawanishi, Kae Macdonald, Ewan Mohamad, Shariff Moore, Jonathan Naing, Hla Onuma, Manabu Penjor, Ugyen Rasphone, Akchousanh Rayan, D. Ross, Joanna Singh, Priya Tan, Cedric Wadey, Jamie Yadav, Bhupendra Cushman, Sam |
| Abstract | Aim Deforestation is rapidly altering Southeast Asian landscapes, resulting in some of the highest rates of habitat loss worldwide. Among the many species facing declines in this region, clouded leopards rank notably for their ambassadorial potential and capacity to act as powerful levers for broader forest conservation programmes. Thus identifying core habitat and conservation opportunities are critical for curbing further Neofelis declines and extending umbrella protection for diverse forest biota similarly threatened by widespread habitat loss. Furthermore, a recent comprehensive habitat assessment of Sunda clouded leopards (N. diardi) highlights the lack of such information for the mainland species (N. nebulosa), and facilitates a comparative assessment. Location Southeast Asia. Methods Species-habitat relationships are scale-dependent, yet <5% of all recent habitat modeling papers apply robust approaches to optimize multivariate scale relationships. Using one of the largest camera trap datasets ever collected, we developed scale-optimized species distribution models for two con-generic carnivores, and quantitatively compared their habitat niches. Results We identified core habitat, connectivity corridors, and ranked remaining habitat patches for conservation prioritization. Closed canopy forest was the strongest predictor, with ~25% lower Neofelis detections when forest cover declined from 100 to 65%. A strong, positive association with increasing precipitation suggests ongoing climate change as a growing threat along drier edges of the species' range. While deforestation and land use conversion were deleterious for both species, N. nebulosa was uniquely associated with shrublands and grasslands. We identified 800km2 as a minimum patch size for supporting clouded leopard conservation. Main Conclusions We illustrate the utility of multi-scale modeling for identifying key habitat requirements, optimal scales of use, and critical targets for guiding conservation prioritization. Curbing deforestation and development within remaining core habitat and dispersal corridors, particularly in Myanmar, Laos, and Malaysia, is critical for supporting evolutionary potential of clouded leopards and conservation of associated forest biodiversity. |
| File Size | 3598943178 |
| File Format | HTM / HTML |
| ISSN | 14724642 |
| DOI | 10.5061/dryad.d7d7b2t |
| Alternate Webpage(s) | https://datadryad.org/stash/downloads/file_stream/108141 |
| Alternate Webpage(s) | https://datadryad.org/stash/downloads/file_stream/108148 |
| Alternate Webpage(s) | https://datadryad.org/stash/downloads/file_stream/108147 |
| Alternate Webpage(s) | https://datadryad.org/stash/downloads/file_stream/108149 |
| Alternate Webpage(s) | https://datadryad.org/stash/downloads/file_stream/108143 |
| Alternate Webpage(s) | https://datadryad.org/stash/downloads/file_stream/108146 |
| Alternate Webpage(s) | https://datadryad.org/stash/downloads/file_stream/108144 |
| Alternate Webpage(s) | https://datadryad.org/stash/downloads/file_stream/108145 |
| Alternate Webpage(s) | https://datadryad.org/stash/downloads/file_stream/108142 |
| Language | English |
| Publisher Date | 2019-09-06 |
| Access Restriction | Open |
| Subject Keyword | Spatial Conservation Prioritization Conservation Planning Multi-scale Modeling Clouded Leopard Threatened and Endangered Species Current Neofelis Nebulosa Deforestation Neofelis Diardi |
| Content Type | Text |
| Resource Type | Data Set |
| Subject | Ecology, Evolution, Behavior and Systematics |
