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An Assessment of Wakkerstroom Wetland and Its Vegetation Communities from 1938 to 2019

An Assessment of Wakkerstroom Wetland and Its Vegetation Communities from 1938 to 2019
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摘要 There are few studies on the size and changes in species composition over time for wetlands in South Africa. Techniques such as remote sensing have become popular in assisting the development of management plans due to their spatio-temporal advantages and easily reproducible vegetation and land cover maps. The Wakkerstroom wetland was examined using aerial photography to examine possible changes in the extent and Landsat imaging was used to map its vegetation communities. To assess the distribution of vegetation types on Wakkerstroom wetland, in situ recording of vegetation types and their GPS coordinates was conducted and a Random Forest model was used to predict vegetation types from Landsat pixel spectra across the wetland extent. As calculated from aerial photographs, the Wakkerstroom wetland has increased in extent by 0.483 km2 from 1938 to 2009. The <em>P. australis</em> population density increased significantly over time (r = 0.89), whereas the <em>T. capensis</em> population density had a strong negative correlation over time (r = -0.70). A strong negative relationship between <em>P. australis</em> and <em>T. capensis</em> existed (r = -0.88). A need exists to introduce a management tool that will create a greater mosaic of vegetation communities thus ensuring a greater bird, reptile, and amphibian diversity. There are few studies on the size and changes in species composition over time for wetlands in South Africa. Techniques such as remote sensing have become popular in assisting the development of management plans due to their spatio-temporal advantages and easily reproducible vegetation and land cover maps. The Wakkerstroom wetland was examined using aerial photography to examine possible changes in the extent and Landsat imaging was used to map its vegetation communities. To assess the distribution of vegetation types on Wakkerstroom wetland, in situ recording of vegetation types and their GPS coordinates was conducted and a Random Forest model was used to predict vegetation types from Landsat pixel spectra across the wetland extent. As calculated from aerial photographs, the Wakkerstroom wetland has increased in extent by 0.483 km2 from 1938 to 2009. The <em>P. australis</em> population density increased significantly over time (r = 0.89), whereas the <em>T. capensis</em> population density had a strong negative correlation over time (r = -0.70). A strong negative relationship between <em>P. australis</em> and <em>T. capensis</em> existed (r = -0.88). A need exists to introduce a management tool that will create a greater mosaic of vegetation communities thus ensuring a greater bird, reptile, and amphibian diversity.
作者 Victoria Alma Stockdale David Gordon Furniss Mary Catherine Scholes Victoria Alma Stockdale;David Gordon Furniss;Mary Catherine Scholes(School of Animal, Plant and Environmental Sciences, University of the Witwatersrand, Johannesburg, South Africa)
机构地区 School of Animal
出处 《Journal of Water Resource and Protection》 2021年第10期807-821,共15页 水资源与保护(英文)
关键词 <i>Phragmites australis</i> Random Forest Remote Sensing <i>Typha capensis</i> Wakkerstroom Wetland <i>Phragmites australis</i> Random Forest Remote Sensing <i>Typha capensis</i> Wakkerstroom Wetland
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