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akaturk Akademik ölçüm

Makale detayı · 2019 · article

Multiscale habitat modelling identifies spatial conservation priorities for mainland clouded leopards (Neofelis nebulosa)

ISSN1366-9516
YÖKSİS OpenAlex Açık erişim · gold Üst %10
Yıl2019
Atıf94OpenAlex
Atıf91Semantic Scholar · 2 etkili
Yüzdelik%97,9
FWCI7,691,00 = dünya ortalaması
Scopus (SJR)Q1
WoS (JCR)Q1

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıDiversity and Distributions
  • Katalog eşleşmesi (ISSN)Diversity and Distributions
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex İngilizce

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 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 km 2 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.

Konular

Atıflar

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94atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 3 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2020 Predicting biodiversity richness in rapidly changing landscapes: climate, low human pressure or protection as salvation?Atıf 44 · OpenAlex
  2. 2024 Identifying remnant biodiversity hotspots in Southern Asia reveals disequilibrium in mammalian communitiesAtıf 5 · OpenAlex
  3. 2025 Identifying gaps in the conservation of small wild cats of Southeast AsiaAtıf 1 · OpenAlex

Yazarlar

29
  1. David Macdonald 1
  2. H. M. Bothwell 2
  3. Ż Kaszta 3
  4. E Ash 4
  5. G. Bolongon 5
  6. Dawn Burnham 6
  7. ÖZGÜN EMRE CAN ANKARA ÜNİVERSİTESİ 7
  8. A Campos-Arceiz 8
  9. P Channa 9
  10. G. R. Clements 10
  11. A. J. Hearn 11
  12. L. Hedges 12
  13. S. Htun 13
  14. J. F. Kamler 14
  15. K. Kawanishi 15
  16. E. A. Macdonald 16
  17. S. W. Mohamad 17
  18. J. Moore 18
  19. H. Naing 19
  20. M. Onuma 20
  21. U. Penjor 21
  22. A. Rasphone 22
  23. D. M. Rayan 23
  24. J. Ross 24
  25. P. Singh 25
  26. C. K. W. Tan 26
  27. J. Wadey 27
  28. B. P. Yadav 28
  29. S. A. Cushman 29