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首页> 外文会议>International Conference on Climate Change, Sustainable Agriculture and Public Leadership >Geospatial Methodology Towards Planning Adaptation/Mitigation Measures of Climate Change Impact on the Apple Orchards in India
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Geospatial Methodology Towards Planning Adaptation/Mitigation Measures of Climate Change Impact on the Apple Orchards in India

机译：用于规划气候变化对印度苹果果园的气候变化影响的适应/缓解措施的地理空间方法

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Apple is the predominant horticulture crop of Himachal Pradesh and Jammu and Kashmir states in India. Efforts are in progress to further strengthen this crop by bringing more areas under cultivation and improving the condition of the existing orchards. However, future changes in the climatic parameters projected under the global climate change scenario will have significant impact on the apple orchard viability. This is mainly due to its sensitivity to availability of chilling units. Temperate fruitslike apple have a specific chilling unit requirement for fruit set and quality of fruit. In the Indian context, the chilling requirement is related to the elevation range of the orchards. This study analyses the current distribution pattern of the appleorchards in relation to elevation ranges and simulates the change under the climate change scenario. Remote sensing data of IRS-P6 LISS-HI and AWiFS sensor was used to map the orchards. Digital elevation model (DEM) was used to generate the elevation, slope and aspect in spatial domain. Ancillary data district/state boundary, weather data, soil and drainage were integrated using geospatial technique. Terrain analysis showed that the orchards in Jammu and Kashmir were distributed in the elevation rangeof 1,600-2,100 m. The equal proportion of orchards was observed in the elevation range of 1,600 — 1,800 m as well as 1,800-2,000 m. In case of Himachal Pradesh (Shimla, Kullu, Mandi), the orchards are distributed from 1,600 to 3,000 m.To predict the suitable elevation of apple growth under the climate change scenario, a modelling method known as GARP (Genetic Algorithm for Rule-Set Production) was used. It is a genetic algorithm that creates ecological niche models for species distribution from presence-only occurrence data. The model gives final solution as environmental conditions under which the species should be able to maintain populations. The simulation showed significant upward shift of theexisting belt to higher elevation. The paper describes the results in detail. The use of geospatial technique and simulation model enhances the scope for preparing a road map to plan mitigation measures to combat climate change impact on the vast tractsof apple and stone fruit belt in India.
机译：Apple是喜马偕尔邦和卡什米尔和克什米尔国家在印度的主要园艺作物。通过在培养和改善现有果园的状况下提高更多地区，进一步加强这种作物。但是，在全球气候变化方案下预测的气候参数的未来变化将对苹果园的可行性产生重大影响。这主要是由于其对冷却单元可用性的敏感性。温带水果般的苹果对水果集和水果质量有一个特定的冷却单元要求。在印度语境中，寒冷要求与果园的海拔范围有关。本研究分析了与高程范围内的AppleorChards的当前分布模式，并模拟了气候变化情景下的变化。 IRS-P6 Liss-Hi和AP传感器的遥感数据用于绘制果园。数字高度模型（DEM）用于生成空间域中的高度，斜率和方面。使用地理空间技术整合了辅助数据区/国家边界，天气数据，土壤和排水。地形分析表明，Jammu和Kashmir中的果园分布在1,600-2,100米的高度范围内。在仰卧范围为1,600-1,800米和1,800-2,000米的升高范围内观察到平等的果园。在喜马偕尔邦（Shimla，Kullu，Mandi）的情况下，果园分布在1,600至3,000米中。在气候变化场景下预测苹果增长的适当高程，一种称为Garp的建模方法（规则集的遗传算法生产）被使用。它是一种遗传算法，可以从存在的存在数据中创建物种分布的生态利基模型。该模型将最终解决方案作为环境条件，该环境应能够维持人群。仿真显示出升高的高度升高的显着向上移动。本文详细描述了结果。地理空间技术和仿真模型的使用增强了准备路线图的范围，计划对印度广阔的苹果和石材果带中的气候变化影响进行缓解措施。

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