作者: Thoams F. Allnutt
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摘要: Successfully planning, implementing, and monitoring projects that aim to restore forest landscapes involves the management analysis of spatial information, is, quantitative qualitative two-dimensional data covering area interest. For example, understanding how a potential restoration site may or not meet biodiversity goal such as “increase overall habitat connectivity from x y maintain viability species z” requires maps basic statistics (size, isolation, etc.) for all patches occur across landscape. Many other variables influence suitability likely success given restoration.Therefore, map-based technologies, satellite remote sensing, aerial photography, geographic information systems (GIS) have will continue provide many benefits landscape restoration. There are ways GIS technologies can assist projects. At one end spectrum, simple cover, elevation, rivers, communities, roads inherently useful ecological human context extreme, sophisticated custom models be constructed simulate, hydrological effects on downstream watersheds. Here we focus use develop scenarios biological socioeconomic targets. Known “suitability modelling” “multicriteria evaluation,” this approach is type GIS-based modelling utilising readily available commercial packages. Specifically, in chapter (1) examples types some common measures planning landscapes, (2) tools deriving (3) reviews several recent applications