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代表性浓度路径4.5情景下气候变化对主要C3和C4作物产量预测影响的时空分析:来自印度南部泰米尔纳德邦沿海地区的洞察

Spatiotemporal analysis of projected impacts of climate change on the major C3 and C4 crop yield under representative concentration pathway 4.5: Insight from the coasts of Tamil Nadu, South India.

作者信息

A Ramachandran, Praveen Dhanya, R Jaganathan, D RajaLakshmi, K Palanivelu

机构信息

Centre for Climate Change and Adaptation Research, Anna University, Guindy, Chennai, Tamil Nadu, India.

Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India.

出版信息

PLoS One. 2017 Jul 28;12(7):e0180706. doi: 10.1371/journal.pone.0180706. eCollection 2017.

DOI:10.1371/journal.pone.0180706
PMID:28753605
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5533328/
Abstract

India's dependence on a climate sensitive sector like agriculture makes it highly vulnerable to its impacts. However, agriculture is highly heterogeneous across the country owing to regional disparities in exposure, sensitivity, and adaptive capacity. It is essential to know and quantify the possible impacts of changes in climate on crop yield for successful agricultural management and planning at a local scale. The Hadley Centre Global Environment Model version 2-Earth System (HadGEM-ES) was employed to generate regional climate projections for the study area using the Regional Climate Model (RCM) RegCM4.4. The dynamics in potential impacts at the sub-district level were evaluated using the Representative Concentration Pathway 4.5 (RCPs). The aim of this study was to simulate the crop yield under a plausible change in climate for the coastal areas of South India through the end of this century. The crop simulation model, the Decision Support System for Agrotechnology Transfer (DSSAT) 4.5, was used to understand the plausible impacts on the major crop yields of rice, groundnuts, and sugarcane under the RCP 4.5 trajectory. The findings reveal that under the RCP 4.5 scenario there will be decreases in the major C3 and C4 crop yields in the study area. This would affect not only the local food security, but the livelihood security as well. This necessitates timely planning to achieve sustainable crop productivity and livelihood security. On the other hand, this situation warrants appropriate adaptations and policy intervention at the sub-district level for achieving sustainable crop productivity in the future.

摘要

印度对农业这种对气候敏感的部门的依赖使其极易受到气候变化影响。然而,由于暴露程度、敏感度和适应能力的地区差异,印度全国的农业具有高度异质性。了解并量化气候变化对作物产量的可能影响,对于在地方层面成功进行农业管理和规划至关重要。利用区域气候模型RegCM4.4,采用哈德利中心全球环境模型第2版地球系统(HadGEM-ES)来生成研究区域的区域气候预测。使用代表性浓度路径4.5(RCPs)评估了分区层面潜在影响的动态变化。本研究的目的是模拟到本世纪末印度南部沿海地区在合理的气候变化下的作物产量。作物模拟模型——农业技术转移决策支持系统(DSSAT)4.5,被用于了解在RCP 4.5轨迹下对水稻、花生和甘蔗等主要作物产量的可能影响。研究结果表明,在RCP 4.5情景下,研究区域内主要的C3和C4作物产量将会下降。这不仅会影响当地的粮食安全,还会影响生计安全。这就需要及时规划以实现可持续的作物生产力和生计安全。另一方面,这种情况需要在分区层面进行适当的适应和政策干预,以在未来实现可持续的作物生产力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8688/5533328/bf9dcae40a1d/pone.0180706.g010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8688/5533328/bf9dcae40a1d/pone.0180706.g010.jpg

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