globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2013.05.001
Scopus记录号: 2-s2.0-84897866802
论文题名:
Selecting landscape metrics as indicators of spatial heterogeneity-Acomparison among Greek landscapes
作者: Plexida S; G; , Sfougaris A; I; , Ispikoudis I; P; , Papanastasis V; P
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 26, 期:1
起始页码: 26
结束页码: 35
语种: 英语
英文关键词: Altitude ; Human land use ; Landscape indicators ; Landscape pattern analysis
Scopus关键词: agricultural land ; ASTER ; environmental indicator ; human activity ; land cover ; land management ; land use change ; landscape structure ; satellite imagery ; spatial data ; thematic mapping ; Greece ; Mediterranean Region
英文摘要: This paper investigates the spatial heterogeneity of three landscapes along an altitudinal gradient anddifferent human land use. The main aim was the identification of appropriate landscape indicators usingdifferent extents. ASTER image was used to create a land cover map consisting of three landscapes whichdiffered in altitude and land use. A number of landscape metrics quantifying patch complexity, config-uration, diversity and connectivity were derived from the thematic map at the landscape level. Therewere significant differences among the three landscapes regarding these four aspects of landscape het-erogeneity. The analysis revealed a specific pattern of land use where lowlands are being increasinglyutilized by humans (percentage of agricultural land = 65.84%) characterized by physical connectedness(high values of Patch Cohesion Index) and relatively simple geometries (low values of fractal dimensionindex). The landscape pattern of uplands was found to be highly diverse based upon the Shannon Diver-sity index. After selecting the scale (600 ha) where metrics values stabilized, it was shown that metricswere more correlated at the small scale of 60 ha. From the original 24 metrics, 14 individual metrics withhigh Spearman correlation coefficient and Variance Inflation Factor criterion were eliminated, leaving10 representative metrics for subsequent analysis. Data reduction analysis showed that Patch Density,Area-Weighted Mean Fractal Dimension Index and Patch Cohesion Index are suitable to describe land-scape patterns irrespective of the scale. A systematic screening of these metrics could enhance a deeperunderstanding of the results obtained by them and contribute to a sustainable landscape managementof Mediterranean landscapes. © 2013 Published by 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/79712
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作者单位: Laboratory of Ecosystem and Biodiversity Management, Department of Agriculture, Crop Production and Rural Environment, University of Thessaly, Fytokou str, N. Ionia, 384 46 Volos, Greece; Laboratory of Rangeland Ecology, Faculty of Forestry and Natural Environment, Aristotle University of Thessaloniki, P.O. Box 286, GR-54124 Thessaloniki, Greece

Recommended Citation:
Plexida S,G,, Sfougaris A,et al. Selecting landscape metrics as indicators of spatial heterogeneity-Acomparison among Greek landscapes[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,26(1)
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