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Development of post-fire vegetation response-ability model in grassland mountainous ecosystem using GIS and remote sensing
ISPRS Journal of Photogrammetry and Remote Sensing ( IF 12.7 ) Pub Date : 2020-05-11 , DOI: 10.1016/j.isprsjprs.2020.04.006
Efosa. G. Adagbasa , Samuel. A. Adelabu , Tom. W. Okello

The mountainous grassland ecosystem in Golden Gate National Park (South Africa) has post-fire ecological resilience. However, vegetation species composition and structure can alter when the ecosystem continually has uncontrolled fires. This study developed a vegetation response-ability model by integrating environmental factors (elevation, aspect, rainfall, land surface temperature, soil, and fire severity), adaptive strategies (flowering months, water requirements, resprouter/seeders) and ecological status (increaser or decreaser) for the park. Vegetation recovery index derived from pre- and post-fire normalised difference vegetation index (NDVI) was used with correlation and regression analysis to validate the model. The results showed that amongst the environmental variables, elevation and fire were the most important factors influencing vegetation response-ability followed by soil, aspect, rainfall, and land surface temperature. Almost half (48%) of the park had a high vegetation response-ability, 43% medium, and 9% low. On the other hand, the vegetation recovery index showed 34% of the park fully recovered to pre-fire conditions, while 61% and 5% largely and slightly recovered, respectively. There was a strong correlation between vegetation response-ability and vegetation recovery index. The regression analysis showed a good relationship between vegetation response-ability and vegetation recovery index (R = 0.91) with 83.34% coefficient of determination.



中文翻译:

基于GIS和遥感的草原山区生态系统火后植被响应能力模型的建立。

金门国家公园(南非)的山区草地生态系统具有火后的生态适应能力。但是,当生态系统持续发生失控的火灾时,植被物种的组成和结构可能会发生变化。这项研究通过整合环境因素(海拔,纵横比,降雨,土地表面温度,土壤和火灾严重程度),适应性策略(开花期,需水量,发芽/播种者)和生态状况(增加或减少)来开发植被响应能力模型。减速器)。利用火灾前和火灾后归一化植被指数(NDVI)得出的植被恢复指数进行相关和回归分析,以验证该模型。结果表明,在环境变量中,海拔和火势是影响植被反应能力的最重要因素,其次是土壤,纵横比,降雨和地表温度。公园的近一半(48%)具有较高的植被响应能力,中度为43%,低度为9%。另一方面,植被恢复指数显示公园中有34%已完全恢复到火灾前的状态,而公园的植被恢复指数则分别为61%和5%。植被响应能力与植被恢复指数之间存在很强的相关性。回归分析表明,植被反应能力与植被恢复指数之间具有良好的关系(R = 0.91),测定系数为83.34%。中度为43%,低度为9%。另一方面,植被恢复指数显示公园中有34%已完全恢复到火灾前的状态,而公园的植被恢复指数则分别为61%和5%。植被响应能力与植被恢复指数之间存在很强的相关性。回归分析表明,植被反应能力与植被恢复指数之间具有良好的关系(R = 0.91),测定系数为83.34%。中度为43%,低度为9%。另一方面,植被恢复指数显示公园中有34%已完全恢复到火灾前的状态,而公园的植被恢复指数则分别为61%和5%。植被响应能力与植被恢复指数之间存在很强的相关性。回归分析表明,植被反应能力与植被恢复指数之间具有良好的关系(R = 0.91),测定系数为83.34%。

更新日期:2020-05-11
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