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Climate suitability analysis of fast growing tree species for Uttarakhand through GIS

机译:基于GIS的北阿坎德邦快速生长树种的气候适宜性分析。

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The main aim of this study was to identify the suitable area for a fast growing tree species on basis of climatic requirement. Fast growing species (i.e. eucalyptus, pine, poplar, willows (salix) and Acacia catechu) for obvious reasons like market uncertainties, need for early returns, fast rate growth and multiple utility. Plantation of fast growing tree species are an ideal option to increase productivity of wastelands, increase tree cover outside the forest and reduce human pressure on forests. Fast growing tree species have the potential to sequester carbon for a short period, say 6-8 years. With proper management of trees, a significant fraction of the atmospheric carbon could be captured and stored in plant biomass, soils and is then becomes aviable option to prevent and mitigate climate-change effects. A suitability resulting from the overlay process of the identified theme layers has unique information of tree requirement on which the suitability is based. The identified theme layers include temperature (maximum, minimum and average temperature), precipitation and soil properties. Those thematic layers with their associated attribute data were encoded in GIS database. Overlay operation was performed on those layers as the suitability model assigned. The digital layers were reclassified and given weightings to be analysed further. Finally, suitability map was prepared with four suitability categories namely, most suitable, suitable, moderately suitable and not suitable. According to the final suitability map, 51.5% of land is under most suitable category, 21.9% of land suitable category, 7.0% of land is under moderately suitable and 19.5% of land under not suitable category according to the given criteria. It is recommended that a fieldchecking should be carried out in suitable and moderately suitable land areas for further verification before implementing any plantation activity.
机译:这项研究的主要目的是根据气候需求确定适合快速生长的树种的区域。快速增长的物种(例如桉树,松树,杨树,柳树(柳树)和金合欢儿茶)具有明显的原因,例如市场不确定性,需要早日回报,快速增长和具有多种用途。种植速生树种是增加荒地生产力,增加森林外树木覆盖率和减轻人为森林压力的理想选择。快速生长的树种有可能在短期内(例如6-8年)封存碳。通过对树木的适当管理,可以捕获很大一部分大气中的碳并将其存储在植物生物量,土壤中,然后成为预防和减轻气候变化影响的可行选择。由所标识的主题层的覆盖过程产生的适合性具有适合性所基于的树要求的唯一信息。确定的主题层包括温度(最高,最低和平均温度),降水和土壤特性。这些主题图层及其关联的属性数据被编码在GIS数据库中。在已分配适合性模型的那些层上执行覆盖操作。将数字层重新分类,并赋予权重以进行进一步分析。最后,以四个适合度类别准备适合度图,即最适合,最适合,中等适合和不适合。根据最终的适用性地图,根据给定的标准,有51.5%的土地属于最合适的类别,21.9%的土地属于合适的类别,7.0%的土地属于中度适合的土地,19.5%的土地属于不适宜的类别。建议在进行任何人工林活动之前,在合适的和适度合适的土地上进行现场检查,以进一步验证。

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