DOI: 10.1016/j.jag.2014.07.003
Scopus记录号: 2-s2.0-84920657739
论文题名: Very high resolution earth observation features for testing the direct and indirect effects of landscape structure on local habitat quality
作者: Mairota P ; , Cafarelli B ; , Labadessa R ; , Lovergine F ; P ; , Tarantino C ; , Nagendra H ; , Didham R ; K
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 34, 期: 1 起始页码: 96
结束页码: 102
语种: 英语
英文关键词: Context-dependence
; Habitat quality
; Landscape structure
; Mixed effects models
Scopus关键词: biodiversity
; empirical analysis
; EOS
; habitat fragmentation
; habitat quality
; human activity
; image resolution
; land use change
; landscape structure
; modeling
; satellite imagery
; spatial distribution
; species richness
英文摘要: Modelling the empirical relationships between habitat quality and species distribution patterns is the first step to understanding human impacts on biodiversity. It is important to build on this understanding to develop a broader conceptual appreciation of the influence of surrounding landscape structure on local habitat quality, across multiple spatial scales. Traditional models which report that 'habitat amount' in the landscape is sufficient to explain patterns of biodiversity, irrespective of habitat configuration or spatial variation in habitat quality at edges, implicitly treat each unit of habitat as interchangeable and ignore the high degree of interdependence between spatial components of land-use change. Here, we test the contrasting hypothesis, that local habitat units are not interchangeable in their habitat attributes, but are instead dependent on variation in surrounding habitat structure at both patch and landscape levels. As the statistical approaches needed to implement such hierarchical causal models are observation-intensive, we utilise very high resolution (VHR) Earth Observation (EO) images to rapidly generate fine-grained measures of habitat patch internal heterogeneities over large spatial extents. We use linear mixed-effects models to test whether these remotely-sensed proxies for habitat quality were influenced by surrounding patch or landscape structure. The results demonstrate the significant influence of surrounding patch and landscape context on local habitat quality. They further indicate that such aninfluence can be direct, when a landscape variable alone influences the habitat structure variable, and/or indirect when the landscape and patch attributes have a conjoined effect on the response variable. We conclude that a substantial degree of interaction among spatial configuration effects is likely to be thenorm in determining the ecological consequences of habitat fragmentation, thus corroborating the notion of the spatial context dependence of habitat quality. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79496
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Agro-Environmental and Territorial Sciences, University of Bari Aldo Moro, Via Orabona 4, Bari, Italy; Department of Economy, University of Foggia, Largo Papa Giovanni Paolo II, 1, Foggia, Italy; National Research Council-Institute of Intelligent Systems for Automation (CNR-ISSIA), Via G. Amendola 122, Bari, Italy; School of Development, Azim Premji University, PES Institute of Technology Campus, Pixel Park, B Block, Hosur Road, Electronics City, Bangalore, India; School of Animal Biology, The University of Western Australia and CSIRO Ecosystem Sciences, Perth, WA, Australia
Recommended Citation:
Mairota P,, Cafarelli B,, Labadessa R,et al. Very high resolution earth observation features for testing the direct and indirect effects of landscape structure on local habitat quality[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,34(1)