TY - JOUR
T1 - Multi-scale habitat modelling identifies spatial conservation priorities for mainland clouded leopards (Neofelis nebulosa)
AU - Macdonald, David W.
AU - Bothwell, Helen M.
AU - Kaszta, Żaneta
AU - Ash, Eric
AU - Bolongon, Gilmoore
AU - Burnham, Dawn
AU - Can, Özgün Emre
AU - Campos-Arceiz, Ahimsa
AU - Channa, Phan
AU - Clements, Gopalasamy Reuben
AU - Hearn, Andrew J.
AU - Hedges, Laurie
AU - Htun, Saw
AU - Kamler, Jan F.
AU - Kawanishi, Kae
AU - Macdonald, Ewan A.
AU - Mohamad, Shariff Wan
AU - Moore, Jonathan
AU - Naing, Hla
AU - Onuma, Manabu
AU - Penjor, Ugyen
AU - Rasphone, Akchousanh
AU - Mark Rayan, Darmaraj
AU - Ross, Joanna
AU - Singh, Priya
AU - Tan, Cedric Kai Wei
AU - Wadey, Jamie
AU - Yadav, Bhupendra P.
AU - Cushman, Samuel A.
N1 - Publisher Copyright:
© 2019 The Authors. Diversity and Distributions Published by John Wiley & Sons Ltd.
PY - 2019/10/1
Y1 - 2019/10/1
N2 - 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 modelling 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 800 km2 as a minimum patch size for supporting clouded leopard conservation. Main conclusions: We illustrate the utility of multi-scale modelling 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.
AB - 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 modelling 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 800 km2 as a minimum patch size for supporting clouded leopard conservation. Main conclusions: We illustrate the utility of multi-scale modelling 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.
KW - Neofelis diardi
KW - Neofelis nebulosa
KW - clouded leopard
KW - conservation planning
KW - deforestation
KW - multi-scale modelling
KW - spatial conservation prioritization
KW - threatened and endangered species
UR - http://www.scopus.com/inward/record.url?scp=85069858913&partnerID=8YFLogxK
U2 - 10.1111/ddi.12967
DO - 10.1111/ddi.12967
M3 - Article
SN - 1366-9516
VL - 25
SP - 1639
EP - 1654
JO - Diversity and Distributions
JF - Diversity and Distributions
IS - 10
ER -