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| 从作物轮作角度评价华南典型赤红壤农区耕地质量空间差异 |
| Spatial variation evaluation of cultivated land quality from the perspective of crop rotation for a typical lateritic red soil farming area in south China |
| 投稿时间：2021-08-16 |
| DOI：10.13254/j.jare.2021.0526 |
| 中文关键词: 赤红壤，遥感，谷歌地球引擎，哨兵数据，作物轮作，耕地质量 |
| 英文关键词: lateritic red soil, remote sensing, Google Earth Engine, Sentinel data, crop rotation, cultivated land quality |
| 基金项目:国家自然科学基金项目（U1901601）；中国农业科学院国际农业科学计划项目（CAAS-ZDRW202107） |
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| 中文摘要: |
| 为从作物轮作角度分析华南典型赤红壤农区耕地质量空间差异，针对华南典型赤红壤农区构建作物轮作系统遥感分类体系，基于空间分析、文献支持、野外实地调查、农户访谈与专家知识，建立不同作物轮作系统与耕地质量等级之间的关联关系；基于Sentinel-1与Sentinel-2时间序列遥感数据、利用决策树制图方法，开展作物轮作系统遥感制图，并在不同空间尺度分析耕地质量空间差异与规律。结果表明，作物轮作系统与耕地质量之间存在关联关系，总体而言，水田轮作系统由于化肥投入较低、对土壤干扰较小、长时间被水面覆盖，不易引起土壤酸化等耕地质量问题，耕地质量等级较高；蔬菜、果园系统由于化肥投入较高，耕地质量一般较低，具体表现为土壤酸化、土壤重金属污染等问题。研究区蔬菜轮作系统比例最高，其次为果园系统。研究区耕地质量总体一般，主要为三等地，呈现出明显的空间分异。本研究初步探明作物轮作与耕地质量的关联关系，并将作物轮作遥感制图结果应用于耕地质量空间差异研究，由于耕地质量特征较难直接通过遥感反演获取，通过监测地表作物种植情况进而反演耕地质量具有理论可行性，未来有必要深入解析作物轮作、地形地貌、气象水文等要素与耕地质量的关联关系，构建大数据驱动的耕地质量时空差异评估技术体系，支撑跨尺度耕地质量监测与评价研究。 |
| 英文摘要: |
| Characterizing the spatial variation of cultivated land quality based on crop rotation pattern could provide a basis for improving regional cultivated land quality through optimizing crop rotation management. To this end, we constructed a crop rotation system classification for the typical lateritic red soil farming area in south China, and established the correlation between crop rotation systems and the cultivated land quality based on spatial analysis, literature review, field survey, farmer interview and expert knowledge. Then crop rotation systems were mapped with Sentinel-1 and Sentinel-2 time series remote sensing data and the decision tree algorithm, based on which the spatial variation and pattern of cultivated land quality were analyzed at different scales. The results showed that there was a qualitative correlation between crop rotation systems and cultivated land quality. In general, the quality is generally higher in paddy rotation systems due to lower fertilizer input, less soil disturbance, and long-term water surface, while the quality was generally lower in vegetable and orchard systems due to higher fertilizer input, which caused soil acidification and soil heavy metal pollution. The highest proportion of vegetable rotation systems in the study area was followed by orchard systems. Therefore, the overall cultivated land quality is general, mainly characterized by the third class. Spatially, the cultivated land quality was higher in the north and lower in the south. Our study initially explored the correlation between crop rotation and cultivated land quality, and applied the remote sensing-based crop rotation pattern to the analysis of spatial variation in cultivated land quality. In the future, it is necessary to deeply analyze the correlation between crop rotation, topography, meteorology and hydrology and cultivated land quality, and further build a big data-driven technical system for assessing the spatial and temporal variations of cultivated land quality to support the cross-scale cultivated land quality monitoring and evaluation. |
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