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使用多模型方法评估气候变化对印度尼西亚水稻生产的影响。

Evaluating the effect of climate change on rice production in Indonesia using multimodelling approach.

作者信息

Ansari Andrianto, Pranesti Arin, Telaumbanua Mareli, Alam Taufan, Wulandari Rani Agustina, Nugroho Bayu Dwi Apri

机构信息

Department of Agronomy, Faculty of Agriculture, Universitas Gadjah Mada, Yogyakarta, Indonesia.

Department of Accounting, Faculty of Economics and Business, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia.

出版信息

Heliyon. 2023 Aug 31;9(9):e19639. doi: 10.1016/j.heliyon.2023.e19639. eCollection 2023 Sep.

Abstract

Achieving global food security in the face of climate change is a critical challenge, particularly in vulnerable countries like Indonesia. To effectively address this challenge, a systems-based approach utilizing climate-hydrological-crop models has emerged as an integral approach. These models integrate climate, hydrological, and crop components to understand and predict the complex interactions within agricultural systems and their responses to climate variables. By employing this approach, policymakers, researchers, and stakeholders can gain comprehensive insights into the potential consequences of climate change on crop growth, water availability, soil fertility, and overall crop yield. However, challenges exist in the implementation of this approach, including data reliability; scarcity of complete long-term data; lack of experimental information about crop species, especially local varieties; inadequate research resources; lack of expertise concerning modeling approaches; lack of testing; inaccurate testing; calibration; and model uncertainties. Furthermore, to address limitations and challenges in implementing this approach, improving the availability and reliability of data, collection method, and data quality should be conducted to ensure the accuracy of simulation and prediction. Finally, climate-hydrological-crop models, alongside improved data collection and modelling techniques, serve as essential tools for guiding the development of effective adaptation measures to mitigate the impacts of climate change on rice production in Indonesia.

摘要

在气候变化背景下实现全球粮食安全是一项严峻挑战,在印度尼西亚这样的脆弱国家尤为如此。为有效应对这一挑战,一种利用气候 - 水文 - 作物模型的基于系统的方法已成为一种不可或缺的方法。这些模型整合了气候、水文和作物要素,以理解和预测农业系统内部的复杂相互作用及其对气候变量的响应。通过采用这种方法,政策制定者、研究人员和利益相关者能够全面深入了解气候变化对作物生长、水资源可利用性、土壤肥力以及总体作物产量的潜在影响。然而,这种方法的实施存在挑战,包括数据可靠性;完整长期数据的稀缺;缺乏关于作物品种,尤其是当地品种的实验信息;研究资源不足;缺乏关于建模方法的专业知识;缺乏测试;测试不准确;校准以及模型的不确定性。此外,为解决实施这种方法中的限制和挑战,应提高数据的可用性和可靠性、改进数据收集方法和数据质量,以确保模拟和预测的准确性。最后,气候 - 水文 - 作物模型以及改进的数据收集和建模技术,是指导制定有效适应措施以减轻气候变化对印度尼西亚水稻生产影响的重要工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10558879/882058abfaad/gr1.jpg

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