• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

确定巴基斯坦雪豹保护的重点景观。

Identifying priority landscapes for conservation of snow leopards in Pakistan.

机构信息

Department of Zoology, Quaid-i-Azam University, Islamabad, Pakistan.

Snow Leopard Trust, Pakistan Program, Islamabad, Pakistan.

出版信息

PLoS One. 2020 Nov 5;15(11):e0228832. doi: 10.1371/journal.pone.0228832. eCollection 2020.

DOI:10.1371/journal.pone.0228832
PMID:33151925
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7644022/
Abstract

Pakistan's total estimated snow leopard habitat is about 80,000 km2 of which about half is considered prime habitat. However, this preliminary demarcation was not always in close agreement with the actual distribution-the discrepancy may be huge at the local and regional level. Recent technological developments like camera trapping and molecular genetics allow for collecting reliable presence records that could be used to construct realistic species distribution based on empirical data and advanced mathematical approaches like MaxEnt. The current study followed this approach to construct an accurate distribution of the species in Pakistan. Moreover, movement corridors, among different landscapes, were also identified through circuit theory. The probability of habitat suitability, generated from 98 presence points and 11 environmental variables, scored the snow leopard's assumed range in Pakistan, from 0 to 0.97. A large portion of the known range represented low-quality habitat, including areas in lower Chitral, Swat, Astore, and Kashmir. Conversely, Khunjerab, Misgar, Chapursan, Qurumber, Broghil, and Central Karakoram represented high-quality habitats. Variables with higher contributions in the MaxEnt model were precipitation during the driest month (34%), annual mean temperature (19.5%), mean diurnal range of temperature (9.8%), annual precipitation (9.4%), and river density (9.2). The model was validated through receiver operating characteristic (ROC) plots and defined thresholds. The average test AUC in Maxent for the replicate runs was 0.933 while the value of AUC by ROC curve calculated at 0.15 threshold was 1.00. These validation tests suggested a good model fit and strong predictive power. The connectivity analysis revealed that the population in the Hindukush landscape appears to be more connected with the population in Afghanistan as compared to other populations in Pakistan. Similarly, the Pamir-Karakoram population is better connected with China and Tajikistan, while the Himalayan population was connected with the population in India. Based on our findings we propose three model landscapes to be considered under the Global Snow Leopard Ecosystem Protection Program (GSLEP) agenda as regional priority areas, to safeguard the future of the snow leopard in Pakistan and the region. These landscapes fall within mountain ranges of the Himalaya, Hindu Kush and Karakoram-Pamir, respectively. We also identified gaps in the existing protected areas network and suggest new protected areas in Chitral and Gilgit-Baltistan to protect critical habitats of snow leopard in Pakistan.

摘要

巴基斯坦估计的雪豹总栖息地约为 8 万平方公里,其中约一半被认为是主要栖息地。然而,这种初步划定并不总是与实际分布完全一致——在局部和区域水平上可能存在巨大差异。最近的技术发展,如相机陷阱和分子遗传学,允许收集可靠的存在记录,这些记录可用于根据经验数据和高级数学方法(如最大熵)构建现实的物种分布。本研究采用这种方法来构建巴基斯坦境内该物种的精确分布。此外,还通过电路理论确定了不同景观之间的迁徙走廊。从 98 个存在点和 11 个环境变量中生成的栖息地适宜性概率,对巴基斯坦雪豹的假定范围进行了评分,范围从 0 到 0.97。已知范围的很大一部分代表低质量栖息地,包括较低的奇特拉尔、斯瓦特、阿斯特和克什米尔地区。相反,罕萨、米斯加尔、恰普桑、库伦伯尔、布罗吉尔和喀喇昆仑中部则代表高质量栖息地。最大熵模型中贡献较高的变量是最干旱月的降水量(34%)、年平均温度(19.5%)、日温度范围的平均值(9.8%)、年降水量(9.4%)和河流密度(9.2%)。该模型通过接收者操作特征(ROC)图和定义的阈值进行了验证。在最大熵的重复运行中,平均测试 AUC 为 0.933,而在 0.15 阈值下计算的 ROC 曲线的 AUC 值为 1.00。这些验证测试表明模型拟合良好,预测能力较强。连通性分析表明,与巴基斯坦其他地区的种群相比,兴都库什景观中的种群与阿富汗的种群联系更为紧密。同样,帕米尔-喀喇昆仑种群与中国和塔吉克斯坦的联系更为紧密,而喜马拉雅种群与印度的种群联系更为紧密。根据我们的研究结果,我们提出了三个模型景观,作为全球雪豹生态系统保护计划(GSLEP)议程下的区域优先领域,以保护巴基斯坦和该地区雪豹的未来。这些景观分别位于喜马拉雅山脉、兴都库什山脉和喀喇昆仑山脉-帕米尔山脉。我们还发现了现有保护区网络中的空白,并建议在奇特拉尔和吉尔吉特-巴尔蒂斯坦设立新的保护区,以保护巴基斯坦雪豹的关键栖息地。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/2b8b76303437/pone.0228832.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/b00635525150/pone.0228832.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/960dd288007f/pone.0228832.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/52d5b3ddf8fb/pone.0228832.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/9e1e3e83e278/pone.0228832.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/6b655b2fd2af/pone.0228832.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/e16821359fa2/pone.0228832.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/cbba15ddd9c6/pone.0228832.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/8a50e6829699/pone.0228832.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/1b40280fe9f7/pone.0228832.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/2b8b76303437/pone.0228832.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/b00635525150/pone.0228832.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/960dd288007f/pone.0228832.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/52d5b3ddf8fb/pone.0228832.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/9e1e3e83e278/pone.0228832.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/6b655b2fd2af/pone.0228832.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/e16821359fa2/pone.0228832.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/cbba15ddd9c6/pone.0228832.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/8a50e6829699/pone.0228832.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/1b40280fe9f7/pone.0228832.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5d/7644022/2b8b76303437/pone.0228832.g010.jpg

相似文献

1
Identifying priority landscapes for conservation of snow leopards in Pakistan.确定巴基斯坦雪豹保护的重点景观。
PLoS One. 2020 Nov 5;15(11):e0228832. doi: 10.1371/journal.pone.0228832. eCollection 2020.
2
Assessment of habitat suitability of the snow leopard () in Qomolangma National Nature Reserve based on MaxEnt modeling.基于 MaxEnt 模型评估珠穆朗玛峰国家自然保护区雪豹()的栖息地适宜性。
Zool Res. 2018 Nov 18;39(6):373-386. doi: 10.24272/j.issn.2095-8137.2018.057. Epub 2018 May 24.
3
Expanding or shrinking? range shifts in wild ungulates under climate change in Pamir-Karakoram mountains, Pakistan.在气候变化下,巴基斯坦帕米尔-喀喇昆仑山脉的野生有蹄类动物的分布范围是扩大还是缩小了?
PLoS One. 2021 Dec 31;16(12):e0260031. doi: 10.1371/journal.pone.0260031. eCollection 2021.
4
A pilot study-genetic diversity and population structure of snow leopards of Gilgit-Baltistan, Pakistan, using molecular techniques.一项试点研究——利用分子技术研究巴基斯坦吉尔吉特-巴尔蒂斯坦雪豹的遗传多样性和种群结构。
PeerJ. 2019 Nov 4;7:e7672. doi: 10.7717/peerj.7672. eCollection 2019.
5
Habitat suitability of four threatened Himalayan species: Asiatic black bear, common leopard, musk deer, and snow leopard.四种受威胁喜马拉雅物种的栖息地适宜性:亚洲黑熊、豹、麝和雪豹。
PeerJ. 2023 Sep 25;11:e16085. doi: 10.7717/peerj.16085. eCollection 2023.
6
Spatial variation in population-density of snow leopards in a multiple use landscape in Spiti Valley, Trans-Himalaya.横断山色季拉山多种利用景观雪豹种群密度的空间变化。
PLoS One. 2021 May 19;16(5):e0250900. doi: 10.1371/journal.pone.0250900. eCollection 2021.
7
On the snow leopard Trails: Occupancy pattern and implications for management in the Pamir.在雪豹踪迹上:帕米尔地区的占用模式及其对管理的启示
Saudi J Biol Sci. 2022 Jan;29(1):197-203. doi: 10.1016/j.sjbs.2021.08.071. Epub 2021 Aug 26.
8
Modelling potential habitat for snow leopards (Panthera uncia) in Ladakh, India.对印度拉达克地区雪豹(Panthera uncia)潜在栖息地进行建模。
PLoS One. 2019 Jan 29;14(1):e0211509. doi: 10.1371/journal.pone.0211509. eCollection 2019.
9
Modeling Habitat Suitability of Snow Leopards in Yanchiwan National Reserve, China.中国盐池湾国家级自然保护区雪豹栖息地适宜性建模
Animals (Basel). 2024 Jun 30;14(13):1938. doi: 10.3390/ani14131938.
10
Patterns of Snow Leopard Site Use in an Increasingly Human-Dominated Landscape.在人类主导程度日益加深的景观中雪豹的栖息地利用模式
PLoS One. 2016 May 12;11(5):e0155309. doi: 10.1371/journal.pone.0155309. eCollection 2016.

引用本文的文献

1
Snow Leopard habitat vulnerability assessment under climate change and connectivity corridor in Xinjiang Uygur autonomous region, China.中国新疆维吾尔自治区气候变化下雪豹栖息地脆弱性评估及连通性廊道研究
Sci Rep. 2025 Apr 25;15(1):14583. doi: 10.1038/s41598-025-98909-w.
2
Climate Change and Human Pressure: Assessing the Vulnerability of Snow Leopard () Habitat Integrated With Prey Distribution on the Qinghai-Tibet Plateau.气候变化与人类压力:结合青藏高原猎物分布评估雪豹栖息地的脆弱性
Ecol Evol. 2025 Apr 4;15(4):e71232. doi: 10.1002/ece3.71232. eCollection 2025 Apr.
3
Insights into Population Status and Habitat Patches of Conservation Concern for the Endangered Indian Pangolin () in Nowshera District, Northwestern Pakistan.

本文引用的文献

1
Predicting species distribution: offering more than simple habitat models.预测物种分布:提供的不仅仅是简单的栖息地模型。
Ecol Lett. 2005 Sep;8(9):993-1009. doi: 10.1111/j.1461-0248.2005.00792.x. Epub 2005 Jun 23.
2
An empirical demonstration of the effect of study design on density estimations.实证研究设计对密度估计的影响。
Sci Rep. 2021 Jun 23;11(1):13104. doi: 10.1038/s41598-021-92361-2.
3
Assessment of habitat suitability of the snow leopard () in Qomolangma National Nature Reserve based on MaxEnt modeling.基于 MaxEnt 模型评估珠穆朗玛峰国家自然保护区雪豹()的栖息地适宜性。
对巴基斯坦西北部瑙谢拉区濒危印度穿山甲(Manis crassicaudata)受保护关注的种群状况和栖息地斑块的洞察。
Biology (Basel). 2024 Sep 16;13(9):727. doi: 10.3390/biology13090727.
4
Evaluation of the environmental factors influencing the quality of Astragalus membranaceus var. mongholicus based on HPLC and the Maxent model.基于 HPLC 和最大熵模型评价影响蒙古黄芪质量的环境因素。
BMC Plant Biol. 2024 Jul 23;24(1):697. doi: 10.1186/s12870-024-05355-3.
5
Livestock Depredation by Large Carnivores and Human-Wildlife Conflict in Two Districts of Balochistan Province, Pakistan.巴基斯坦俾路支省两个地区大型食肉动物对牲畜的掠食及人类与野生动物的冲突
Animals (Basel). 2024 Apr 4;14(7):1104. doi: 10.3390/ani14071104.
6
Distributional Response of the Rare and Endangered Tree Species to Climate Change in East Asia.东亚珍稀濒危树种对气候变化的分布响应
Biology (Basel). 2022 Nov 13;11(11):1659. doi: 10.3390/biology11111659.
7
On the snow leopard Trails: Occupancy pattern and implications for management in the Pamir.在雪豹踪迹上:帕米尔地区的占用模式及其对管理的启示
Saudi J Biol Sci. 2022 Jan;29(1):197-203. doi: 10.1016/j.sjbs.2021.08.071. Epub 2021 Aug 26.
Zool Res. 2018 Nov 18;39(6):373-386. doi: 10.24272/j.issn.2095-8137.2018.057. Epub 2018 May 24.
4
SDMtoolbox 2.0: the next generation Python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses.SDMtoolbox 2.0:用于景观遗传学、生物地理学和物种分布模型分析的新一代基于Python的地理信息系统工具包。
PeerJ. 2017 Dec 5;5:e4095. doi: 10.7717/peerj.4095. eCollection 2017.
5
Habitat suitability and movement corridors of grey wolf (Canis lupus) in Northern Pakistan.巴基斯坦北部灰狼(Canis lupus)的栖息地适宜性与迁徙廊道
PLoS One. 2017 Nov 9;12(11):e0187027. doi: 10.1371/journal.pone.0187027. eCollection 2017.
6
Predicting the distributions of predator (snow leopard) and prey (blue sheep) under climate change in the Himalaya.预测气候变化下喜马拉雅地区捕食者(雪豹)和猎物(岩羊)的分布情况。
Ecol Evol. 2016 May 18;6(12):4065-75. doi: 10.1002/ece3.2196. eCollection 2016 Jun.
7
More green infrastructure is required to maintain ecosystem services under current trends in land-use change in Europe.在欧洲当前土地利用变化趋势下,需要更多的绿色基础设施来维持生态系统服务。
Landsc Ecol. 2015;30(3):517-534. doi: 10.1007/s10980-014-0083-2. Epub 2014 Aug 20.
8
Impact of climate change on potential distribution of Chinese caterpillar fungus (Ophiocordyceps sinensis) in Nepal Himalaya.气候变化对尼泊尔喜马拉雅地区冬虫夏草(中华虫草菌)潜在分布的影响。
PLoS One. 2014 Sep 2;9(9):e106405. doi: 10.1371/journal.pone.0106405. eCollection 2014.
9
Evaluating landscape options for corridor restoration between giant panda reserves.评估大熊猫保护区之间走廊恢复的景观方案。
PLoS One. 2014 Aug 18;9(8):e105086. doi: 10.1371/journal.pone.0105086. eCollection 2014.
10
Mapping species distributions with MAXENT using a geographically biased sample of presence data: a performance assessment of methods for correcting sampling bias.使用存在数据的地理偏差样本,通过最大熵模型(MAXENT)绘制物种分布:校正采样偏差方法的性能评估
PLoS One. 2014 May 12;9(5):e97122. doi: 10.1371/journal.pone.0097122. eCollection 2014.