Integrating threat mapping and animal movement data to identify high-risk areas for endangered mobile species

被引:0
|
作者
Curk, T. [1 ]
Melzheimer, J. [1 ]
Aschenborn, O. [1 ]
Amar, A. [2 ]
Kolberg, H. [3 ]
Garbett, R. [4 ]
Maude, G. [4 ]
Reading, R. P. [4 ,5 ]
Selebatso, M. [4 ]
Berzaghi, F. [6 ]
Hempson, G. P. [7 ]
Botha, A. [8 ]
Thomson, R. L. [2 ]
Tate, G. [2 ,8 ]
Spiegel, O. [9 ]
Santangeli, A. [2 ,10 ]
机构
[1] Leibniz Inst Zoo & Wildlife Res, Dept Evolutionary Ecol, Berlin, Germany
[2] Univ Cape Town, FitzPatrick Inst African Ornithol, Cape Town, South Africa
[3] Namibia Bird Club, Vultures Namibia, Windhoek, Namibia
[4] Raptors Botswana, Gaborone, Botswana
[5] Coalit Int Conservat, Denver, CO USA
[6] World Maritime Univ, Ocean Sustainabil Governance & Management, Malmo, Sweden
[7] Univ Glasgow, Sch Biodivers Anim Hlth & Comparat Med, Glasgow, Scotland
[8] Endangered Wildlife Trust, Midrand, South Africa
[9] Tel Aviv Univ, Fac Life Sci, Sch Zool, Tel Aviv, Israel
[10] CSIC UIB, Inst Mediterranean Studies IMEDEA, Anim Demog & Ecol Unit, Esporles, Spain
关键词
GPS tracking; human-wildlife conflict; resource availability; sentinel poisoning; space use; Torgos tracheliotos; vultures; poisoning risk; COMMERCIAL FARMERS; POISON; CONSERVATION; VULTURES; NAMIBIA;
D O I
10.1111/acv.12980
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Given the current biodiversity crisis, understanding how animals move across a landscape dotted with different anthropogenic threats and the consequences of those threats for animals is paramount to devising evidence-based conservation interventions. Vultures roam across large areas and are highly exposed to poisoning, which represents a particularly damaging form of wildlife crime. In this study, we introduce a framework for quantifying the exposure to threats and illustrate an example of poisoning risk as a threat in an endangered African vulture species, the Lappet-faced Vulture (Torgos tracheliotos). We combined GPS tracking data of 19 individuals collected between 2012 and 2022 with food availability and spatial threat maps of both intentional (poachers directly targeting vultures) and unintentional (farmers aiming to kill carnivores, with vultures being secondarily affected) poisoning across most of Southern Africa. We identified poisoning hotspots in northern Botswana and south-eastern Namibia. These areas were also associated with a high number of vulture mortalities, providing additional support for poisoning risk. Northern Botswana and areas at the border between Botswana and South Africa were characterized by high food availability, potentially amplifying the mortality rate by attracting vultures from surrounding areas. Our results offer valuable insights for regional vulture conservation, together with a methodological framework for quantifying and mapping the spatial exposure to threats for mobile species of conservation concern, enabling improved targeting of conservation actions.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Biomedical data analytics in mobile-health environments for high-risk pregnancy outcome prediction
    Mário W. L. Moreira
    Joel J. P. C. Rodrigues
    Francisco H. C. Carvalho
    Naveen Chilamkurti
    Jalal Al-Muhtadi
    Victor Denisov
    Journal of Ambient Intelligence and Humanized Computing, 2019, 10 : 4121 - 4134
  • [42] Biomedical data analytics in mobile-health environments for high-risk pregnancy outcome prediction
    Moreira, Mario W. L.
    Rodrigues, Joel J. P. C.
    Carvalho, Francisco H. C.
    Chilamkurti, Naveen
    Al-Muhtadi, Jalal
    Denisov, Victor
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2019, 10 (10) : 4121 - 4134
  • [43] Combining a cumulative risk index and species distribution data to identify priority areas for marine biodiversity conservation in the Black Sea
    Almpanidou, Vasiliki
    Doxa, Aggeliki
    Mazaris, Antonios D.
    OCEAN & COASTAL MANAGEMENT, 2020, 213
  • [44] Integration of phlebotomine ecological niche modelling, and mapping of cutaneous leishmaniasis surveillance data, to identify areas at risk of under-estimation
    Ocampo, Clara B.
    Guzman-Rodriguez, Lina
    Moreno, Mabel
    Castro, Maria del Mar
    Valderrama-Ardila, Carlos
    Alexander, Neal
    ACTA TROPICA, 2021, 224
  • [45] INTEGRATION OF PHLEBOTOMINE ECOLOGICAL NICHE MODELLING, AND MAPPING OF CUTANEOUS LEISHMANIASIS SURVEILLANCE DATA TO IDENTIFY AREAS AT RISK OF UNDER-REPORTING
    Ocampo, Clara B.
    Guzman-Rodriguez, Lina
    Soraya Moreno, Mabel
    Valderrama Ardila, Carlos
    Alexander, Neal
    AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE, 2019, 101 : 361 - 361
  • [46] Using a Bayesian spatiotemporal model to identify the influencing factors and high-risk areas of hand, foot and mouth disease (HFMD) in Shenzhen
    He, Xiaoyi
    Dong, Shengjie
    Li, Liping
    Liu, Xiaojian
    Wu, Yongsheng
    Zhang, Zhen
    Mei, Shujiang
    PLOS NEGLECTED TROPICAL DISEASES, 2020, 14 (03):
  • [47] Bayesian networks to identify potential high-risk multimorbidity and intervention clusters in inpatients: an explorative data mining study
    Roth, Jan A.
    Thomas, Sakoparnig
    Martin, Gerber
    Hug, Balthasar L.
    SWISS MEDICAL WEEKLY, 2020, 150
  • [48] UTILIZING A DATA ANALYTICS PLATFORM TO IDENTIFY HIGH-RISK MEDICATION INTERACTIONS FOR PATIENTS ON DIRECT ORAL ANTICOAGULANTS (DOACS)
    Richards, Nathan
    Kirk, Lauren
    Grandominico-Bradford, Jodi M.
    Tayal, Neeraj H.
    JOURNAL OF GENERAL INTERNAL MEDICINE, 2023, 38 : S703 - S703
  • [49] Pooling data analysis to identify the number needed to treat for prevention of arrhythmic events in high-risk asymptomatic WPW
    Pappone, C
    Manguso, F
    Augello, G
    Ferro, A
    Tortoriello, V
    Vicedomini, G
    Santinelli, V
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2005, 45 (03) : 115A - 115A
  • [50] A data-driven model to identify high-risk aneurysms and guide management decisions: the Rupture Resemblance Score
    Rajabzadeh-Oghaz, Hamidreza
    Waqas, Muhammad
    Veeturi, Sricharan S.
    Vakharia, Kunal
    Tso, Michael K.
    Snyder, Kenneth V.
    Davies, Jason M.
    Siddiqui, Adnan H.
    Levy, Elad I.
    Meng, Hui
    JOURNAL OF NEUROSURGERY, 2021, 135 (01) : 9 - 16