气候变化及其对伊朗棕熊分布的影响

Sahar Roshan Ara, S. Ashrafi, Roghayeh Garmaeepour, Mohammad Zarrintab, Nariman Askaripour, Sorour Esfandeh
{"title":"气候变化及其对伊朗棕熊分布的影响","authors":"Sahar Roshan Ara, S. Ashrafi, Roghayeh Garmaeepour, Mohammad Zarrintab, Nariman Askaripour, Sorour Esfandeh","doi":"10.30564/jzr.v4i1.4159","DOIUrl":null,"url":null,"abstract":"Climate change is one of the threats in the recent century, affecting biodiversity directly and indirectly. Modeling the patterns of species distribution is one of useful tools for predicting the impacts of climate change on endangered species. Brown bear (Ursus arctos) plays an important role as a focal species in mountainous ecosystems. This study was aims to investigate the effects of future climate changes on the distribution of this species using an ensemble modeling method in R-software. For this purpose five algorithms including MAXENT, RF, MARS, GAM, GLM and BRT were used to predict the distribution of the species in the present climatic conditions as well as in the 2050s and 2070s. The results showed that temperature and precipitation were two main factors in the distribution of brown bears in Iran. Investigating the distribution of the brown bear in the future showed that suitability of its habitat will decrease in the western and central parts and increase in the northern parts. So a shift toward higher altitude will be expected for brown bear in the future. Therefore, in this condition it is imperative to upgrade the extent of protected areas for better conservation of brown bear.","PeriodicalId":12046,"journal":{"name":"European Journal of Zoological Research","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Climate Change and Its Impact on Brown Bear Distribution in Iran\",\"authors\":\"Sahar Roshan Ara, S. Ashrafi, Roghayeh Garmaeepour, Mohammad Zarrintab, Nariman Askaripour, Sorour Esfandeh\",\"doi\":\"10.30564/jzr.v4i1.4159\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Climate change is one of the threats in the recent century, affecting biodiversity directly and indirectly. Modeling the patterns of species distribution is one of useful tools for predicting the impacts of climate change on endangered species. Brown bear (Ursus arctos) plays an important role as a focal species in mountainous ecosystems. This study was aims to investigate the effects of future climate changes on the distribution of this species using an ensemble modeling method in R-software. For this purpose five algorithms including MAXENT, RF, MARS, GAM, GLM and BRT were used to predict the distribution of the species in the present climatic conditions as well as in the 2050s and 2070s. The results showed that temperature and precipitation were two main factors in the distribution of brown bears in Iran. Investigating the distribution of the brown bear in the future showed that suitability of its habitat will decrease in the western and central parts and increase in the northern parts. So a shift toward higher altitude will be expected for brown bear in the future. Therefore, in this condition it is imperative to upgrade the extent of protected areas for better conservation of brown bear.\",\"PeriodicalId\":12046,\"journal\":{\"name\":\"European Journal of Zoological Research\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Zoological Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30564/jzr.v4i1.4159\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Zoological Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30564/jzr.v4i1.4159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

气候变化是近一个世纪的威胁之一,直接或间接地影响着生物多样性。物种分布模式的建模是预测气候变化对濒危物种影响的有效工具之一。棕熊(Ursus arctos)是山地生态系统中重要的焦点物种。本研究旨在利用R-software中的集合建模方法研究未来气候变化对该物种分布的影响。为此,利用MAXENT、RF、MARS、GAM、GLM和BRT 5种算法预测了物种在当前气候条件下以及2050年代和2070年代的分布。结果表明,温度和降水是影响伊朗棕熊分布的两个主要因素。对棕熊未来分布的调查表明,棕熊栖息地的适宜性将在西部和中部地区下降,在北部地区增加。因此,预计棕熊将来会向更高的海拔地区迁移。因此,在这种情况下,为了更好地保护棕熊,必须提高保护区的范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Climate Change and Its Impact on Brown Bear Distribution in Iran
Climate change is one of the threats in the recent century, affecting biodiversity directly and indirectly. Modeling the patterns of species distribution is one of useful tools for predicting the impacts of climate change on endangered species. Brown bear (Ursus arctos) plays an important role as a focal species in mountainous ecosystems. This study was aims to investigate the effects of future climate changes on the distribution of this species using an ensemble modeling method in R-software. For this purpose five algorithms including MAXENT, RF, MARS, GAM, GLM and BRT were used to predict the distribution of the species in the present climatic conditions as well as in the 2050s and 2070s. The results showed that temperature and precipitation were two main factors in the distribution of brown bears in Iran. Investigating the distribution of the brown bear in the future showed that suitability of its habitat will decrease in the western and central parts and increase in the northern parts. So a shift toward higher altitude will be expected for brown bear in the future. Therefore, in this condition it is imperative to upgrade the extent of protected areas for better conservation of brown bear.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Study of Anti-Inflammatory Effects of Black Cumin (Nigella Sativa) and Honey on Mice (Mus Musculus) Distribution Patterns and Relative Abundance of Lycalopex Gymnocercus Fisher, 1814 in Southern Santa Fe Province, Argentina Population Dynamics of the Demosponge Aplysina Aerophoba (Nardo 1833) in the Mediterranean Sea Using MtDNA COI Gene Evaluation of the Therapeutic Potential of Warburgia ugandensis, Prunus africana, and Piliostigma thonningii against Leishmania donovani in vitro and in Balb/c Mice Composition and Distribution of Mosquito Vectors in a Peri-Urban Community Surrounding an Institution of Learning in Lafia Metropolis, Nasarawa State, Central Nigeria
×
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