Ramachandran Andimuthu, Radhapriya Parthasarathy, Jayakumar Shanmuganathan, Dhanya Praveen, Geetha Rajadurai
Centre for Climate Change and Adaptation Research, Anna University, Chennai, Tamil Nadu, India.
Environmental Informatics and Spatial Modelling Lab (EISML), Department of Ecology & Environmental Sciences, School of Life Sciences, Pondicherry University, Puducherry, India.
PLoS One. 2016 Jan 26;11(1):e0147541. doi: 10.1371/journal.pone.0147541. eCollection 2016.
India has one of the largest assemblages of tropical biodiversity, with its unique floristic composition of endemic species. However, current forest cover assessment is performed via satellite-based forest surveys, which have many limitations. The present study, which was performed in the Eastern Ghats, analysed the satellite-based inventory provided by forest surveys and inferred from the results that this process no longer provides adequate information for quantifying forest degradation in an empirical manner. The study analysed 21 soil properties and generated a forest soil quality index of the Eastern Ghats, using principal component analysis. Using matrix modules and geospatial technology, we compared the forest degradation status calculated from satellite-based forest surveys with the degradation status calculated from the forest soil quality index. The Forest Survey of India classified about 1.8% of the Eastern Ghats' total area as degraded forests and the remainder (98.2%) as open, dense, and very dense forests, whereas the soil quality index results found that about 42.4% of the total area is degraded, with the remainder (57.6%) being non-degraded. Our ground truth verification analyses indicate that the forest soil quality index along with the forest cover density data from the Forest Survey of India are ideal tools for evaluating forest degradation.
印度拥有热带生物多样性的最大聚集地之一,拥有独特的特有物种植物组成。然而,目前的森林覆盖评估是通过基于卫星的森林调查进行的,这种调查有许多局限性。本研究在东高止山脉进行,分析了森林调查提供的基于卫星的清查数据,并从结果推断出,这一过程不再能以实证方式为量化森林退化提供足够的信息。该研究分析了21种土壤特性,并使用主成分分析生成了东高止山脉的森林土壤质量指数。利用矩阵模块和地理空间技术,我们将基于卫星的森林调查计算出的森林退化状况与根据森林土壤质量指数计算出的退化状况进行了比较。印度森林调查局将东高止山脉总面积的约1.8%归类为退化森林,其余部分(98.2%)为疏林、密林和极密林,而土壤质量指数结果显示,总面积的约42.4%已退化,其余部分(57.6%)未退化。我们的实地验证分析表明,森林土壤质量指数以及印度森林调查局的森林覆盖密度数据是评估森林退化的理想工具。