[气候变化和作物物候反应对福建省耕地土壤有机碳的影响]。

Q2 Environmental Science
Yi-Fan Li, Ting Wu, Yuan Yao, Zhi-Qiang Li, Jin-Quan Shen, Huai-Kai Weng, Li-Ming Zhang, Shi-He Xing
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引用次数: 0

摘要

研究气候变化对耕地土壤有机碳的影响机制是在气候变化背景下管理耕地质量的基础。作物对气候变化的物候反应对耕地土壤有机碳也有重要影响。然而,以往的研究主要集中于气候变化或作物物候反应对土壤有机碳变化的独立影响,很少有研究分析两种因素共同影响下耕地土壤有机碳的变化,也很少有研究量化两种因素对耕地土壤有机碳变化的贡献率。基于 2008 年和 2021 年的表层土样本、2008 年至 2021 年每年的季前和季中气候数据,以及 2007 年至 2022 年从增强植被指数(EVI)时间序列中提取的物候参数,研究了土壤有机碳对土壤有机碳变化的贡献率。利用随机森林算法构建了土壤有机碳预测模型。模拟了 2008 年至 2021 年土壤有机碳的总变化、气候变化单独作用下土壤有机碳的变化以及气候变化和作物物候反应协同作用下土壤有机碳的变化。此外,还区分并量化了气候变化和作物物候反应对耕地土壤有机碳变化的贡献。此外,还识别并分析了土壤有机碳变化的主导影响因素及其空间分布。结果如下:①在气候变化和作物物候反应的协同影响下,2008-2021 年福建省 74.15%的耕地土壤有机碳减少,平均减少量为 2.20 g-kg-1。此外,25.85% 的耕地土壤有机碳有所增加,平均增加 1.48 g-kg-1。季前气候、作物物候对气候变化的响应、季中气候、作物品种转换或其他农业措施调整导致的物候变化对土壤有机碳变化的平均贡献率分别为 34.08%、28.56%、22.75% 和 14.61%。总体而言,气候变化对福建省耕层土壤有机碳变化的影响大于作物物候对气候变化的响应。气候变化和物候反应共同作为主导影响因素的区域面积最大,占福建省耕地总面积的 47.06%;单独作为主导影响因素的区域面积次之,占耕地总面积的 28.64%。研究结果表明:①气候变化对耕地面积的影响主要集中在高海拔地区;②气候变化对耕地面积的影响主要集中在中海拔地区;③气候变化对耕地面积的影响主要集中在低海拔地区;④高海拔地区季前气候因子贡献率较高,栽培品种转移或其他农业措施调整导致的物候变化贡献率较高;低海拔地区季中气候因子贡献率较高,物候对气候变化的响应贡献率较高。这些研究成果可为气候变化背景下耕地质量管理和保障粮食安全的决策提供理论依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Effects of Climate Changes and Crop Phenological Responses on Soil Organic Carbon of Cultivated Land in Fujian Province].

Research on the mechanism of how climate change affects cultivated soil organic carbon is the basis for the management of cultivated land quality in the context of climate change. Crop phenological responses to climate change have an important effect on cultivated soil organic carbon as well. However, previous research primarily focused on the independent effects of climate change or crop phenological responses on the changes in soil organic carbon, and few studies have analyzed the changes in cultivated soil organic carbon under the combined influence of both factors or quantified their contribution rates to the changes in cultivated soil organic carbon. Based on topsoil samples in 2008 and 2021, annual pre-season and mid-season climate data from 2008 to 2021, and the phenological parameters extracted from the enhanced vegetation index (EVI) time series from 2007 to 2022, a soil organic carbon predictive model was constructed using the random forest algorithm. The total change in soil organic carbon from 2008 to 2021, the change in soil organic carbon under climate change alone, and the change in soil organic carbon under the synergistic influence of climate change and crop phenological responses were simulated. Furthermore, the contributions of climate change and crop phenological responses to the changes in cultivated soil organic carbon were distinguished and quantified. Moreover, the dominant influencing factors of soil organic carbon changes and their spatial distributions were identified and analyzed. The results were as follows: ① Under the synergistic influence of climate change and crop phenological responses, a decrease was observed in soil organic carbon in 74.15% of the cultivated land area in Fujian Province during the years 2008-2021, with an average decrease of 2.20 g·kg-1. Additionally, there was an increase in soil organic carbon in 25.85% of the cultivated area, with an average increase of 1.48 g·kg-1. ②The average contribution rates of pre-season climate, crop phenological responses to climate change, mid-season climate, and phenological changes resulting from cultivars shifts or other adjustments of agricultural measures to soil organic carbon changes were 34.08%, 28.56%, 22.75%, and 14.61%, respectively. Overall, climate change had a greater impact on the changes in cultivated soil organic carbon in Fujian Province than the crop phenological response to climate change. ③ The regions where climate change and phenological response jointly acted as dominant influencing factors held the largest area, accounting for 47.06% of the total cultivated land area in Fujian Province, and the regions where climate change was the dominant influencing factor alone held the second-largest area, accounting for 28.64% of the total cultivated land area. ④ Higher contribution rates of pre-season climate factors and phenological changes resulting from cultivar shifts or other adjustments of agricultural measures tended to be distributed in higher-altitude areas, whereas higher contribution rates of mid-season climate factors and phenological responses to climate change tended to be distributed in lower-altitude areas. These research findings can provide a theoretical basis for decision making regarding the management of cultivated land quality and the safeguarding of food security in the context of climate change.

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来源期刊
Huanjing Kexue/Environmental Science
Huanjing Kexue/Environmental Science Environmental Science-Environmental Science (all)
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