Use of Landsat and SRTM Data to Detect Broad-Scale Biodiversity Patterns in Northwestern Amazonia

被引:33
作者
Higgins, Mark A. [1 ]
Asner, Gregory P. [1 ]
Perez, Eneas [2 ]
Elespuru, Nydia [2 ]
Tuomisto, Hanna [3 ,4 ]
Ruokolainen, Kalle [3 ,4 ]
Alonso, Alfonso
机构
[1] Carnegie Inst Sci, Dept Global Ecol, Stanford, CA 94305 USA
[2] Univ Nacl Amazonia Peruana, Fac Ciencias Biol, Iquitos, Peru
[3] Univ Turku, Dept Biol, FI-20100 Turku, Finland
[4] Smithsonian Conservat Biol Inst, Ctr Conservat Educ & Sustainabil, Washington, DC 20013 USA
基金
芬兰科学院; 美国国家科学基金会;
关键词
Amazonia; Landsat; SRTM; floristic composition; geology; soils; pteridophytes; vegetation mapping; NDVI; RAIN-FOREST VEGETATION; ENVIRONMENTAL-CONTROL; FLORISTIC PATTERNS; SATELLITE IMAGERY; WESTERN AMAZONIA; TREES; BASIN; PERU; MELASTOMATACEAE; PTERIDOPHYTES;
D O I
10.3390/rs4082401
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Vegetation maps are the starting point for the design of protected areas and regional conservation plans. Accurate vegetation maps are missing for much of Amazonia, preventing the development of effective and compelling conservation strategies. Here we used a network of 160 inventories across northwestern Amazonia to evaluate the use of Landsat and Shuttle Radar Topography Mission (SRTM) data to identify floristic and edaphic patterns in Amazonian forests. We first calculated the strength of the relationship between these remotely-sensed data, and edaphic and floristic patterns in these forests, and asked how sensitive these results are to image processing and enhancement. We additionally asked if SRTM data can be used to model patterns in plant species composition in our study areas. We find that variations in Landsat and SRTM data are strongly correlated with variations in soils and plant species composition, and that these patterns can be mapped solely on the basis of SRTM data over limited areas. Using these data, we furthermore identified widespread patch-matrix floristic patterns across northwestern Amazonia, with implications for conservation planning and study. Our findings provide further evidence that Landsat and SRTM data can provide a cost-effective means for mapping these forests, and we recommend that maps generated from a combination of remotely-sensed and field data be used as the basis for conservation prioritization and planning in these vast and remote forests.
引用
收藏
页码:2401 / 2418
页数:18
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