Incorporating natural and human factors in habitat modelling and spatial prioritisation for the Lynx lynx martinoi

IF 2.3 3区 环境科学与生态学 Q2 ECOLOGY Web Ecology Pub Date : 2016-02-02 DOI:10.5194/WE-16-17-2016
K. Laze, A. Gordon
{"title":"Incorporating natural and human factors in habitat modelling and spatial prioritisation for the Lynx lynx martinoi","authors":"K. Laze, A. Gordon","doi":"10.5194/WE-16-17-2016","DOIUrl":null,"url":null,"abstract":"Abstract. Countries in south-eastern Europe are cooperating to conserve a sub-endemic lynx species, Lynx lynx martinoi. Yet, the planning of species conservation should go hand-in-hand with the planning and management of (new) protected areas. Lynx lynx martinoi has a small, fragmented distribution with a small total population size and an endangered population. This study combines species distribution modelling with spatial prioritisation techniques to identify conservation areas for Lynx lynx martinoi. The aim was to determine locations of high probability of occurrence for the lynx, to potentially increase current protected areas by 20 % in Albania, the former Yugoslav Republic of Macedonia, Montenegro, and Kosovo. The species distribution modelling used generalised linear models with lynx occurrence and pseudo-absence data. Two models were developed and fitted using the lynx data: one based on natural factors, and the second based on factors associated with human disturbance. The Zonation conservation planning software was then used to undertake spatial prioritisations of the landscape using the first model composed of natural factors as a biological feature, and (inverted) a second model composed of anthropological factors such as a cost layer. The first model included environmental factors as elevation, terrain ruggedness index, woodland and shrub land, and food factor as chamois prey (occurrences) and had a prediction accuracy of 82 %. Second model included anthropological factors as agricultural land and had a prediction accuracy of 65 %. Prioritised areas for extending protected areas for lynx conservation were found primarily in the Albania–Macedonia–Kosovo and Montenegro–Albania–Kosovo cross-border areas. We show how natural and human factors can be incorporated into spatially prioritising conservation areas on a landscape level. Our results show the importance of expanding the existing protected areas in cross-border areas of core lynx habitat. The priority of these cross-border areas highlight the importance international cooperation can play in designing and implementing a coherent and long-term conservation plan including a species conservation plan to securing the future of the lynx.","PeriodicalId":54320,"journal":{"name":"Web Ecology","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2016-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Web Ecology","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.5194/WE-16-17-2016","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 5

Abstract

Abstract. Countries in south-eastern Europe are cooperating to conserve a sub-endemic lynx species, Lynx lynx martinoi. Yet, the planning of species conservation should go hand-in-hand with the planning and management of (new) protected areas. Lynx lynx martinoi has a small, fragmented distribution with a small total population size and an endangered population. This study combines species distribution modelling with spatial prioritisation techniques to identify conservation areas for Lynx lynx martinoi. The aim was to determine locations of high probability of occurrence for the lynx, to potentially increase current protected areas by 20 % in Albania, the former Yugoslav Republic of Macedonia, Montenegro, and Kosovo. The species distribution modelling used generalised linear models with lynx occurrence and pseudo-absence data. Two models were developed and fitted using the lynx data: one based on natural factors, and the second based on factors associated with human disturbance. The Zonation conservation planning software was then used to undertake spatial prioritisations of the landscape using the first model composed of natural factors as a biological feature, and (inverted) a second model composed of anthropological factors such as a cost layer. The first model included environmental factors as elevation, terrain ruggedness index, woodland and shrub land, and food factor as chamois prey (occurrences) and had a prediction accuracy of 82 %. Second model included anthropological factors as agricultural land and had a prediction accuracy of 65 %. Prioritised areas for extending protected areas for lynx conservation were found primarily in the Albania–Macedonia–Kosovo and Montenegro–Albania–Kosovo cross-border areas. We show how natural and human factors can be incorporated into spatially prioritising conservation areas on a landscape level. Our results show the importance of expanding the existing protected areas in cross-border areas of core lynx habitat. The priority of these cross-border areas highlight the importance international cooperation can play in designing and implementing a coherent and long-term conservation plan including a species conservation plan to securing the future of the lynx.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
将自然和人为因素纳入猞猁栖息地建模和空间优先排序
摘要东南欧国家正在合作保护一种亚地方性的猞猁物种,猞猁。然而,物种保护的规划应与(新)保护区的规划和管理齐头并进。猞猁的分布范围小,分散,种群规模小,濒临灭绝。本研究将物种分布模型与空间优先排序技术相结合,以确定猞猁的保护区。其目的是确定猞猁高概率出现的地点,以潜在地将目前在阿尔巴尼亚、前南斯拉夫的马其顿共和国、黑山和科索沃的保护区增加20% %。物种分布模型采用广义线性模型,结合猞猁的出现和伪缺失数据。利用山猫数据建立并拟合了两个模型:一个基于自然因素,另一个基于与人为干扰相关的因素。然后使用分区保护规划软件进行景观的空间优先排序,使用第一个模型由自然因素作为生物特征组成,(反向)第二个模型由人类学因素组成,如成本层。第一个模型包括环境因子如海拔、地形崎岖指数、林地和灌木地,食物因子如羚羊猎物(发生),预测精度为82% %。第二个模型将人类学因素作为农业用地,预测精度为65 %。扩大猞猁保护区的优先区域主要在阿尔巴尼亚-马其顿-科索沃和黑山-阿尔巴尼亚-科索沃边境地区。我们展示了自然和人为因素如何在景观层面上纳入保护区的空间优先级。我们的研究结果表明,在山猫核心栖息地的跨境区域扩大现有保护区的重要性。这些跨境区域的优先事项突出了国际合作在设计和实施连贯和长期保护计划方面的重要性,包括物种保护计划,以确保猞猁的未来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Web Ecology
Web Ecology Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
4.60
自引率
0.00%
发文量
6
审稿时长
17 weeks
期刊介绍: Web Ecology (WE) is an open-access journal issued by the European Ecological Federation (EEF) representing the ecological societies within Europe and associated members. Its special value is to serve as a publication forum for national ecological societies that do not maintain their own society journal. Web Ecology publishes papers from all fields of ecology without any geographic restriction. It is a forum to communicate results of experimental, theoretical, and descriptive studies of general interest to an international audience. Original contributions, short communications, and reviews on ecological research on all kinds of organisms and ecosystems are welcome as well as papers that express emerging ideas and concepts with a sound scientific background.
期刊最新文献
Towards spatial predictions of disease transmission risk: classical scrapie spill-over from domestic small ruminants to wild cervids Urban roadkill assessment in Vienna reveals low incidence rates Short communication: Problems of classifying predator-induced prey immobility – an unexpected case of post-contact freezing Disturbance can slow down litter decomposition, depending on severity of disturbance and season: an example from Mount Kilimanjaro Bird color and taxonomic diversity are negatively related to human disturbance in urban parks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1