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气候变化对农业生产的影响;亚洲的问题、挑战与机遇。

Impact of climate change on agricultural production; Issues, challenges, and opportunities in Asia.

作者信息

Habib-Ur-Rahman Muhammad, Ahmad Ashfaq, Raza Ahsan, Hasnain Muhammad Usama, Alharby Hesham F, Alzahrani Yahya M, Bamagoos Atif A, Hakeem Khalid Rehman, Ahmad Saeed, Nasim Wajid, Ali Shafaqat, Mansour Fatma, El Sabagh Ayman

机构信息

Institute of Crop Science and Resource Conservation (INRES), Crop Science Group, University of Bonn, Bonn, Germany.

Department of Agronomy, MNS-University of Agriculture, Multan, Pakistan.

出版信息

Front Plant Sci. 2022 Oct 10;13:925548. doi: 10.3389/fpls.2022.925548. eCollection 2022.

Abstract

Agricultural production is under threat due to climate change in food insecure regions, especially in Asian countries. Various climate-driven extremes, i.e., drought, heat waves, erratic and intense rainfall patterns, storms, floods, and emerging insect pests have adversely affected the livelihood of the farmers. Future climatic predictions showed a significant increase in temperature, and erratic rainfall with higher intensity while variability exists in climatic patterns for climate extremes prediction. For mid-century (2040-2069), it is projected that there will be a rise of 2.8°C in maximum temperature and a 2.2°C in minimum temperature in Pakistan. To respond to the adverse effects of climate change scenarios, there is a need to optimize the climate-smart and resilient agricultural practices and technology for sustainable productivity. Therefore, a case study was carried out to quantify climate change effects on rice and wheat crops and to develop adaptation strategies for the rice-wheat cropping system during the mid-century (2040-2069) as these two crops have significant contributions to food production. For the quantification of adverse impacts of climate change in farmer fields, a multidisciplinary approach consisted of five climate models (GCMs), two crop models (DSSAT and APSIM) and an economic model [Trade-off Analysis, Minimum Data Model Approach (TOAMD)] was used in this case study. DSSAT predicted that there would be a yield reduction of 15.2% in rice and 14.1% in wheat and APSIM showed that there would be a yield reduction of 17.2% in rice and 12% in wheat. Adaptation technology, by modification in crop management like sowing time and density, nitrogen, and irrigation application have the potential to enhance the overall productivity and profitability of the rice-wheat cropping system under climate change scenarios. Moreover, this paper reviews current literature regarding adverse climate change impacts on agricultural productivity, associated main issues, challenges, and opportunities for sustainable productivity of agriculture to ensure food security in Asia. Flowing opportunities such as altering sowing time and planting density of crops, crop rotation with legumes, agroforestry, mixed livestock systems, climate resilient plants, livestock and fish breeds, farming of monogastric livestock, early warning systems and decision support systems, carbon sequestration, climate, water, energy, and soil smart technologies, and promotion of biodiversity have the potential to reduce the negative effects of climate change.

摘要

在粮食不安全地区,特别是亚洲国家,农业生产正因气候变化而受到威胁。各种由气候驱动的极端事件,即干旱、热浪、不稳定且强烈的降雨模式、风暴、洪水以及新出现的害虫,已对农民的生计产生了不利影响。未来的气候预测显示气温将显著上升,降雨不稳定且强度更大,而在极端气候预测的气候模式中存在变异性。对于本世纪中叶(2040 - 2069年),预计巴基斯坦的最高气温将上升2.8°C,最低气温将上升2.2°C。为应对气候变化情景的不利影响,需要优化气候智能型和有韧性的农业实践及技术以实现可持续生产力。因此,开展了一项案例研究,以量化气候变化对水稻和小麦作物的影响,并制定本世纪中叶(2040 - 2069年)稻麦种植系统的适应策略,因为这两种作物对粮食生产有重大贡献。为了量化气候变化对农田的不利影响,本案例研究采用了一种多学科方法,该方法由五个气候模型(全球气候模型)、两个作物模型(DSSAT和APSIM)以及一个经济模型[权衡分析、最小数据模型方法(TOAMD)]组成。DSSAT预测水稻产量将减少15.2%,小麦产量将减少14.1%,而APSIM显示水稻产量将减少17.2%,小麦产量将减少12%。通过改变作物管理措施,如播种时间、密度、氮肥和灌溉施用等适应技术,有潜力在气候变化情景下提高稻麦种植系统的整体生产力和盈利能力。此外,本文回顾了当前有关气候变化对农业生产力的不利影响、相关主要问题、挑战以及亚洲农业可持续生产力以确保粮食安全的机遇的文献。诸如改变作物播种时间和种植密度、与豆类作物轮作、农林业、混合畜牧系统、气候适应型植物、牲畜和鱼类品种、单胃家畜养殖、预警系统和决策支持系统、碳固存、气候、水、能源和土壤智能技术以及促进生物多样性等机遇,有潜力减少气候变化的负面影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c74/9621323/3cb02589c79b/fpls-13-925548-g0001.jpg

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