DOI: 10.1016/j.jag.2014.09.006
Scopus记录号: 2-s2.0-84926371558
论文题名: A composite indicator for assessing habitat quality of riparian forests derived from Earth observation data
作者: Riedler B ; , Pernkopf L ; , Strasser T ; , Lang S ; , Smith G
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 37 起始页码: 114
结束页码: 123
语种: 英语
英文关键词: Conservation status
; Flood plain
; Forest structure
; Habitat assessment
; RFI_S
; Spatial indicators
Scopus关键词: conservation status
; floodplain
; forest management
; habitat quality
; lidar
; remote sensing
; riparian forest
; satellite imagery
英文摘要: Riparian forests are precious, complex habitats fostering high biodiversity where effective monitoring of habitat quality is particularly important. We present a composite indicator, referred to as Riparian Forest composite Indicator: focus on Structure (RFI_S), for the assessment of habitat quality and identification of 'hot-spot' areas where conservation actions need to be taken. The RFI_S is composed of seven indicators derived from very high resolution (VHR) satellite imagery and LiDAR data, calculated on patch level. These indicators assess four important attributes of riparian forest quality: (1) tree species composition, (2) vertical forest structure, (3) horizontal forest structure and (4) water regime. For the aggregation of the RFIS, two different weighting schemes, expert-based and statistical weighting, are applied. Forest patches with high cumulative RFI_S values represent patches of good habitat quality. These patches are primarily found along water bodies, reflecting the importance of water bodies for the structural complexity, an optimum water regime and tree species composition. For forest patches of low habitat quality the RFI_S helps to design suitable measures to improve habitat quality status through its decomposability into the underlying indicators. A sensitivity analysis to test the robustness of the RFI_S shows that the indicator variance in terrain roughness has the strongest influence on the composite indicator. Finally, a comparison with an existing expert-based map on conservation status reveals the potential of a complementary quantitative assessment of habitat quality in the study site. We hence conclude that the RFI_S has a high capability to support sustainable forest management complementing regularly gathered in situ data. © 2014 Elsevier B.V.. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79565
Appears in Collections: 气候变化事实与影响
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作者单位: University of Salzburg, Department of Geoinformatics - Z-GIS, Austria; Specto Natura Limited, United Kingdom
Recommended Citation:
Riedler B,, Pernkopf L,, Strasser T,et al. A composite indicator for assessing habitat quality of riparian forests derived from Earth observation data[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,37