Mountain vegetation change quantification using surface landscape metrics in Lancang watershed,China |
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| Institution: | 1. Institute of Ecology and Geobotany, Yunnan University, Kunming 650091, China;2. Laboratory of Forest Management and Spatial Information (FORSIT), Ghent University, Ghent 9000, Belgium;3. Earth and Life Institute, Université Catholique de Louvain-la-Neuve, Louvain-La-Neuve 1348, Belgium;1. Centre for Environmental Change and Quaternary Research, University of Gloucestershire, Cheltenham, UK;2. Tree-Ring Services, Mitcheldean, UK;3. Institute for the Environment, Brunel University, Uxbridge, London, UK;4. K Russell Consulting Ltd, Leighton Bromswold, Huntingdon, UK;1. Ghent University, Laboratory of Forest Management and Spatial Information Techniques, Coupure Links 653, 9000 Gent, Belgium;2. Intergraph Belgium, Tennessee House, Riverside Business Park, Bld International 55 E, 1070 Brussels, Belgium;3. Ghent University, Department of Soil Management, Coupure Links 653, 9000 Gent, Belgium;4. Flemish Government, Environment, Nature and Energy Department, Belgium, Koning Albert II-laan 20, bus 8, 1000 Brussel, Belgium;5. Institut des Régions Arides de Médenine, 4119 Médenine, Tunisia |
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| Abstract: | Land cover and vegetation change are among the most important aspects of environmental change. Vegetation change can be quantified by landscape pattern indices (LPI). Landscape indices are routinely calculated using planar land use/land cover (LU/LC) maps, obtained by the projection of a non-flat landscape surface into a two-dimensional Cartesian space. Especially in mountainous areas, quantification on planar maps can lead to underestimation of vegetation and land cover changes. Hoechstetter et al. (2008) developed a method to compute LPIs in a surface structure by calculating landscape patch surface area and surface perimeter from digital elevation models (DEM). As yet there have been no applications of these surface landscape indices on land use/land cover and vegetation change quantification. The objectives of this study are to (1) choose a LPI method (surface metrics pattern analysis or common planimetric metrics pattern analysis) for vegetation change quantification; and (2) employ the selected surface LPI method to assess vegetation pattern change in two mountainous areas of the Lancang watershed, Yunnan Province, China. The results show that the surface approach to estimate changes of class area (CA), mean patch area (MPA), and mean Euclidean Near-Neighbor distance (MENN) may obtain more accurate results for quantifying vegetation change in steep mountain areas. Forest fragmentation increased significantly over time in the two different mountainous study areas. The patches of two land cover classes, (i) agricultural land and (ii) low density forest and tall shrubs, became more aggregated in the northern (temperate) study area. In the southern (tropical) study area, rubber plantations increased considerably in size and became more aggregated. |
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