School of Architecture, Planning and Environmental Policy, University College Dublin, Richview, Clonskeagh, Dublin, D14 E099, Ireland.
School of Architecture, Planning and Environmental Policy, University College Dublin, Richview, Clonskeagh, Dublin, D14 E099, Ireland.
Sci Total Environ. 2020 Jul 10;725:138331. doi: 10.1016/j.scitotenv.2020.138331. Epub 2020 Apr 3.
Remote sensing techniques are effectively used for measuring the overall loss of terrestrial ecosystem productivity and biodiversity due to forest fires. The current research focuses on assessing the impacts of forest fires on terrestrial ecosystem productivity in India during 2003-2017. Spatiotemporal changes of satellite remote sensing derived burn indices were estimated for both fire and normal years to analyze the association between forest fires and ecosystem productivity. Two Light Use Efficiency (LUE) models were used to quantify the terrestrial Net Primary Productivity (NPP) of the forest ecosystem using the open-source and freely available remotely sensed data. A novel approach (delta NPP/delta burn indices) is developed to quantify the effects of forest fires on terrestrial carbon emission and ecosystem production. During 2003-2017, the forest fire intensity was found to be very high (>2000) across the eastern Himalayan hilly region, which is mostly covered by dense forest and thereby highly susceptible to wildfires. Scattered patches of intense forest fires were also detected in the lower Himalayan and central Indian states. The spatial correlation between the burn indices and NPP were mainly negative (-0.01 to -0.89) for the fire-prone states as compared to the other neighbouring regions. Additionally, the linear approximation between the burn indices and NPP showed a positive relation (0.01 to 0.63), suggesting a moderate to high impact of the forest fires on the ecosystem production and terrestrial carbon emission. The present approach has the potential to quantify the loss of ecosystem productivity due to forest fires.
遥感技术有效地用于测量由于森林火灾导致的陆地生态系统生产力和生物多样性的整体损失。目前的研究集中于评估 2003-2017 年期间森林火灾对印度陆地生态系统生产力的影响。为了分析森林火灾与生态系统生产力之间的关系，对火年和非火年的卫星遥感衍生烧伤指数的时空变化进行了估计。使用开源和免费的遥感数据，采用两种光能利用率（LUE）模型来量化森林生态系统的陆地净初级生产力（NPP）。提出了一种新方法（δNPP/δ烧伤指数），用于量化森林火灾对陆地碳排放和生态系统生产的影响。在 2003-2017 年期间，发现东喜马拉雅丘陵地区的森林火灾强度非常高（>2000），该地区主要覆盖着茂密的森林，因此极易发生野火。在较低的喜马拉雅山脉和印度中部各州也检测到了零星的高强度森林火灾。与其他相邻地区相比，易发生火灾的州的烧伤指数与 NPP 之间的空间相关性主要为负（-0.01 到-0.89）。此外，烧伤指数与 NPP 之间的线性近似关系呈正相关（0.01 到 0.63），这表明森林火灾对生态系统生产和陆地碳排放有中度到高度的影响。该方法有可能量化森林火灾导致的生态系统生产力损失。
