GSTDTAP  > 资源环境科学
DOI10.1016/j.landurbplan.2018.07.002
Coupling a landscape-based approach and graph theory to maximize multispecific connectivity in bird communities
Clauzel, Celine1; Jeliazkov, Alienor2; Mimet, Anne2,3
2018-11-01
发表期刊LANDSCAPE AND URBAN PLANNING
ISSN0169-2046
EISSN1872-6062
出版年2018
卷号179页码:1-16
文章类型Article
语种英语
国家France; Germany
英文摘要

Environmental policies have highlighted the importance of preserving ecological networks to limit the fragmentation of natural habitats and biodiversity loss. A crucial issue for landscape managers is how to reconcile conservation measures that benefit all species and the maintenance of human activities. This study aimed to promote landscape multifunctionality, i.e., improving connectivity for several species without significantly modifying human activities. The objectives were to identify the most strategic natural landscape types to prioritize for preservation and to propose landscape management actions in highly anthropized areas that would benefit a majority of species. The analysis combined landscape types and bird species observation data to model landscape suitability for six species profiles defined by their affinity for wetlands, agricultural areas, urban areas and three types of forested landscapes. By graph modelling, we analysed the functional connectivity of the ecological networks of these species profiles. The results revealed that only ten landscape types out of 72 were core habitats for three species profiles simultaneously. These were primarily forested landscape types - either strict or associated with open areas (wasteland, forest clearing). Conversely, some anthropogenic landscapes dominated by built areas and sometimes shared with agriculture were completely unfavourable for all species profiles. The graph modelling analysis showed that the transformation of some landscape types could potentially improve connectivity for four species profiles presenting different ecological requirements. This coupling approach thus provided guidance to propose some landscape management actions that benefit the majority of species while preserving land uses.


英文关键词Landscape multifunctionality Functional connectivity Ecological network Graph theory Landscape-based approach Landscape composition and configuration
领域资源环境
收录类别SCI-E ; SSCI
WOS记录号WOS:000444927200001
WOS关键词HABITAT FRAGMENTATION ; AGRICULTURAL INTENSIFICATION ; RELATIVE IMPORTANCE ; SEED DISPERSAL ; WOODLAND BIRDS ; COMMON BIRDS ; CONSERVATION ; BIODIVERSITY ; ENVIRONMENTS ; RESPONSES
WOS类目Ecology ; Environmental Studies ; Geography ; Geography, Physical ; Regional & Urban Planning ; Urban Studies
WOS研究方向Environmental Sciences & Ecology ; Geography ; Physical Geography ; Public Administration ; Urban Studies
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/24653
专题资源环境科学
作者单位1.Paris Diderot Univ, CNRS, LADYSS, UMR 7533, Paris, France;
2.German Ctr Integrat Biodivers Res iDiv, Biodivers Synth, Leipzig, Germany;
3.Helmholtz Zentrum Umweltforsch, Biodivers Conservat Grp, iDiv, Dept Computat Landscape Ecol, Leipzig, Germany
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GB/T 7714
Clauzel, Celine,Jeliazkov, Alienor,Mimet, Anne. Coupling a landscape-based approach and graph theory to maximize multispecific connectivity in bird communities[J]. LANDSCAPE AND URBAN PLANNING,2018,179:1-16.
APA Clauzel, Celine,Jeliazkov, Alienor,&Mimet, Anne.(2018).Coupling a landscape-based approach and graph theory to maximize multispecific connectivity in bird communities.LANDSCAPE AND URBAN PLANNING,179,1-16.
MLA Clauzel, Celine,et al."Coupling a landscape-based approach and graph theory to maximize multispecific connectivity in bird communities".LANDSCAPE AND URBAN PLANNING 179(2018):1-16.
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