globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2014.09.015
Scopus记录号: 2-s2.0-84930409935
论文题名:
Very high resolution earth observation features for monitoring plant and animal community structure across multiple spatial scales in protected areas
作者: Mairota P; , Cafarelli B; , Labadessa R; , Lovergine F; , Tarantino C; , Lucas R; M; , Nagendra H; , Didham R; K
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 37
起始页码: 100
结束页码: 105
语种: 英语
英文关键词: Biodiversity surrogates ; Functional groups ; Habitat quality ; Monitoring ; VHR EO features
Scopus关键词: animal community ; biodiversity ; community structure ; habitat conservation ; habitat quality ; monitoring ; plant community ; remote sensing ; Italy ; Animalia ; Aves ; Hexapoda
英文摘要: Monitoring the status and future trends in biodiversity can be prohibitively expensive using groundbased surveys. Consequently, significant effort is being invested in the use of satellite remote sensing to represent aspects of the proximate mechanisms (e.g., resource availability) that can be related to biodiversity surrogates (BS) such as species community descriptors. We explored the potential of very high resolution (VHR) satellite Earth observation (EO) features as proxies for habitat structural attributes that influence spatial variation in habitat quality and biodiversity change. In a semi-natural grassland mosaic of conservation concern in southern Italy, we employed a hierarchical nested sampling strategy to collect field and VHR-EO data across three spatial extent levels (landscape, patch and plot). Species incidence and abundance data were collected at the plot level for plant, insect and bird functional groups. Spectral and textural VHR-EO image features were derived from a Worldview-2 image. Three window sizes (grains) were tested for analysis and computation of textural features, guided by the perception limits of different organisms. The modelled relationships between VHR-EO features and BS responses differed across scales, suggesting that landscape, patch and plot levels are respectively most appropriate when dealing with birds, plants and insects. This research demonstrates the potential of VHR-EO for biodiversity mapping and habitat modelling, and highlights the importance of identifying the appropriate scale of analysis for specific taxonomic groups of interest. Further, textural features are important in the modelling of functional group-specific indices which represent BS in high conservation value habitat types, and provide a more direct link to species interaction networks and ecosystem functioning, than provided by traditional taxonomic diversity indices. © 2014 Elsevier B.V..
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79462
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; National Research Council - Institute of Intelligent Systems for Automation (CNR-ISSIA), Via G Amendola 122, Bari, Italy; Department of Economy, University ofFoggia, Largo Papa Giovanni Paolo II, Foggia, Italy; Institute of Geography and Earth Sciences, Aberystwyth University, Aberystwyth, Ceredigion, United Kingdom; School of Development, Azim Premji University, PES Institute of Technology Campus, Pixel Park, B Block, Electronics City, Hosur Road, Bangalore, India; School of Animal Biology, The University of Western Australia and CSIRO Land and Water Flagship, Perth, WA, Australia

Recommended Citation:
Mairota P,, Cafarelli B,, Labadessa R,et al. Very high resolution earth observation features for monitoring plant and animal community structure across multiple spatial scales in protected areas[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,37
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