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Conservation planning of cash crops species (Garcinia gummi-gutta) under current and future climate in the Western Ghats, India

机译:印度西戈斯当前和未来气候下的现金作物种类(Garcinia Gummi-Gutta)的保护计划

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Agriculture, global biodiversity and distribution of species are increasingly influenced by changing climate. Assessing the future distribution of biodiversity under different climate change scenarios is an essential step towards conservation planning and policy implementations. To understand the climate change impacts, the present study usedGarcinia gummi-guttacash crop species as a case study that is even exported, adding the nation's foreign reserve. Given the importance of this crop for local and national economy, the main objectives of the study were to analyse the impact of present and future climates on ecologically susceptibleG. gummi-guttaspecies in the Western Ghats based on maximum entropy model (MaxEnt). Future projections with RCP scenarios for 2050 and 2070 were made using the data of 84 species occurrence and climatic variables of three climate models from IPCC 5th assessment. The contribution of climatic variables was analysed by jackknife test, and 0.888 of AOC indicates high accuracy of the model results. It was found that annual precipitation, coldest quarter precipitation, and precipitation seasonality were the key determining factors for the suitability of this species. In addition, the results of all scenarios showed that the current suitability of the species would be dramatically decreased by 2050 and 2070. The study suggests how the MaxEnt approach can be an important tool for agricultural development, management of species habitats, conservation of biodiversity, and climate change rehabitation planning.
机译:农业,全球生物多样性和物种分布越来越多地影响气候。评估不同气候变化方案下的生物多样性的未来分布是节约计划和政策实施的重要一步。为了了解气候变化影响,本研究曾使用过GARCINIA GUMMI-GUTTACASH作物物种作为甚至出口的案例研究,增加了国家的外汇储备。鉴于本类和国民经济作物的重要性,该研究的主要目标是分析现在和未来气候对生态敏感性的影响。基于最大熵模型(MaxEnt)的西止仓中的Gummi-Guttaspecies。使用来自IPCC第5次评估的84种物种发生和气候变量的数据的数据进行了2050年和2070年的RCP场景的未来预测。气候变量的贡献是通过宏刀试验分析的,并且0.888的AOC表示模型结果的高精度。结果发现,年降水,最冷的季度降水量和降水季节性是这种物种适用性的关键决定因素。此外,所有情景的结果表明,2050年和2070年,物种的当前适合性会显着降低。该研究表明最大的方法是如何成为农业发展的重要工具,物种栖息地管理,生物多样性保护,和气候变化康复规划。

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