2024年6月20日 星期四
辽宁A 县耕地质量等别分布特征研究
Research on the Distribution Characteristics of Cultivated Land Quality Grades in A County,Liaoning
摘要

耕地质量对耕地生产能力和区域发展水平具有重要影响, 同时也直接关系到国家的粮食安全。采用面积加权法研究A县不同耕地质量等别的数量, 并利用空间自相关分析研究A县耕地质量的空间集聚特征和差异。结果表明: (1) A县耕地自然质量等别主要集中在10~12等别, 而耕地质量利用等别和经济等别以11~13等别为主, 耕地利用质量和经济质量比自然质量低, A县耕地总体质量处于中等水平。 (2) A 县耕地质量自然等别、利用等别、经济等别的Moran’s I指数大于0. 4, 在空间分布上呈现出较强的正空间自相关性; 在LISA分析中, 耕地质量自然、利用等和经济等的空间聚集特征变现为正相关的HH型和LL型以及不显著的NN型分布较为明显。 (3) 基于空间自相关结果呈现的空间格局, 提出相应措施, 为A县实施耕地精细化管理提供更多的科学参考决策和技术支持。

Abstract

Cultivated land quality has an important impact on the production capacity of cultivated land and the level of regional development, and is also directly related to national food security. The area-weighted method was used to study the quantity of different cultivated land quality classes in A county, and the spatial autocorrelation analysis was used to study the spatial agglomeration characteristics and differences of cultivated land quality in A county. The results showed that: (1) The natural quality of cultivated land in A county was mainly concentrated in 10-12 grade, while the utilization and economic grades of cultivated land quality were mainly in 11-13 grade, and the utilization and economic qualities of cultivated land were lower than the natural quality. The overall quality of cultivated land in A county was at a medium level. (2) The Moran's I index of natural, utilized and economic quality of cultivated land in A County is greater than 0. 4, showing a strong positive spatial autocorrelation in spatial distribution; In the LISA analysis, the spatial aggregation features of natural, utilized and economic quality of cultivated land turned out to be positive correlated HH type and LL type, and the insignificant NN type distribution was more obvious. (3) Based on the spatial pattern presented by the spatial autocorrelation results, corresponding measures were proposed to provide more scientific references for decision-making and technical support for the implementation of cultivated land fine management in A county.  

DOI10.48014/fcls.20230208001
文章类型研究性论文
收稿日期2023-02-09
接收日期2023-06-26
出版日期2023-09-28
关键词耕地质量, 面积加权法:空间自相关, 辽宁A 县
KeywordsCultivated land quality, area-weighted method, spatial autocorrelation, A county of Liaoning
作者魏玺1, 蔡湘文1,*, 邵亚1, 陈艳芳2
AuthorWEI Xi1, CAI Xiangwen1,*, SHAO Ya1, CHEN Yanfang2
所在单位1. 桂林理工大学地球科学学院, 桂林 541000
2. 桂林市科学技术情报研究所, 桂林 541400
Company1. School of Earth Science, Guilin University of Technology, Guilin 541000, China
2. Guilin Institute of Science and Technology, Guilin 541400, China
浏览量473
下载量188
基金项目桂林理工大学博士科研启动基金项目;
广西隐伏金属矿产勘查重点实验室资助项目。
参考文献[1] Xiao L G, Wei X, Wang C Y, et al. Plastic film mulching significantly boosts crop production and water use efficiency but not evapotranspiration in China[J]. Agricultural Water Management, 2023: 275.
https://doi.org/10.1016/j.agwat.2022.108023
[2] Li J, Song W. Food security review based on bibliomet- rics from 1991 to 2021[J]. Foods, 2022, 11: 3915.
https://doi.org/10.3390/foods11233915
[3] Hu Q, Wu W, Xiang M, et al. Spatio-temporal changes in global cultivated land over 2000-2010[J]. 2018, 51(6): 1091-1105. 10. 3864/j. issn. 0578-1752. 2018. 06. 009
[4] Wei X, Song W, Shao Y, et al. Progress of ecological restoration research based on bibliometric analysis[J]. International Journal of Environmental Research and Public Health, 2023, 20(1): 520.
https://doi.org/10.3390/ijerph20010520
[5] Xia Z Q, Peng Y P, Lin C J, et al. A spatial frequency/spectral indicator-driven model for estimating cultivated land quality using the gradient boosting decision tree and genetic algorithm-back propagation neural network[R]. International Soil and Water Conservation Research, 2022.
https://doi.org/10.1016/j.iswcr.2022.03.004
[6] 孔祥斌, 张青璞. 中国西部区耕地等别空间分布特征[J]. 农业工程学报, 2012, 28(22): 1-7.
https://doi.org/10.3969/j.issn.1002-6819.2012.22.001
[7] 杨元智, 陈运春, 廖丽君, 等. 西南片区耕地等别空间分布特征[J]. 水土保持研究, 2020, 27(06): 226-232+393.
https://doi.org/10.13869/j.cnki.rswc.2020.06.030
[8] 魏洪斌, 吴克宁, 赵华甫, 等. 我国两大粮食主产区耕地 等别空间分布特征分析[J]. 江苏农业科学, 2016, 44(01): 443-448.
https://doi.org/10.15889/j.issn.1002-1302.2016.01.129
[9] 张志雷, 孔祥斌, 张青璞. 京津冀鲁地区耕地等别空间分布特征研究[J]. 农业工程学报, 2018, 34(S1): 230-237.
https://doi.org/10.11975/j.issn.1002-6819.2018.z.034
[10] 高星, 陈景, 刘蕾, 等. 雄安新区耕地质量空间分布特征与建设占用推荐分区[J]. 农业工程学报, 2018, 34(01): 1-7.
https://doi.org/10.11975/j.issn.1002-6819.2018.01.001
[11] 肖建英, 谭术魁. 中国粮食产量省级尺度下的空间分异 规律[J]. 中国土地科学, 2013, 27(08): 26-32.
https://doi.org/10.13708/j.cnki.cn11-2640.2013.08.008
[12] 张耿杰, 刘淑霞, 曾维军, 等. 云南省耕地利用等别与生态环境空间分布特征[J]. 水土保持研究, 2016, 23(02): 275-279.
https://doi.org/10.13869/j.cnki.rswc.2016.02.050
[13] 任奎, 周生路, 张红富, 等. 江苏农用地资源质量空间格局及影响机制研究[J]. 农业工程学报, 2008(04): 127- 134+313.
[14] 张青璞, 孔祥斌, 郧文聚, 等. 重庆市国家级农用地分等汇总前后等别分布规律[J]. 农业工程学报, 2010, 26(10): 297-303.
https://doi.org/10.3969/j.issn.1002-6819.2010.10.050
[15] 向梦杰, 胡晓亮. 溧阳市耕地质量空间分布特征与保护分区研究[J]. 土壤通报, 2020, 51(01): 18-25.
https://doi.org/10.19336/j.cnki.trtb.2020.01.03
[16] 钱凤魁, 张靖野, 王秋兵. 东港市耕地质量空间相关性分析及驱动机制研究[J]. 土壤通报, 2018, 49(05): 1048-1053.
https://doi.org/10.19336/j.cnki.trtb.2018.05.06
[17] 杜婉婷, 李淑杰, 曹竞文, 等. 多尺度下的珲春市耕地质量空间自相关分析[J]. 东北师大学报(自然科学版), 2018, 50(04): 134-141.
https://doi.org/10.16163/j.cnki.22-1123/n.2018.04.025
[18] 郭晓飞, 李建华, 李成学, 等. 基于多尺度的祥云县县域耕地自然质量空间分布特征分析[J]. 云南农业大学学报(自然科学), 2016, 31(05): 923-929.
https://doi.org/10.16211/j.issn.1004-390X(n).2016.05.023
[19] 汤江龙, 范佳旭, 郭恩泽. 基于Moran’s I指数的耕地质量空间相关分析———以于都县为例[J]. 东华理工大学学报(自然科学版), 2019, 42(04): 406-411.
[20] 熊昌盛, 韦仕川, 栾乔林, 等. 基于Moran's I分析方法的耕地质量空间差异研究———以广东省广宁县为例[J]. 资源科学, 2014, 36(10): 2066-2074.
[21] 李子杰, 高沪宁, 丁琪洵, 等. 基于Moran’s I的安徽省太湖县耕地质量时空格局分析[J]. 水土保持通报, 2021, 41(03): 350-356.
https://doi.org/10.13961/j.cnki.stbctb.2021.03.045
[22] 周佳松, 夏建国, 龙丹. 汉源县耕地利用等别空间分布特征研究[J]. 安徽农业科学, 2020, 48(08): 84-88+91.
https://doi.org/10.3969/j.issn.0517-6611.2020.08.021
[23] Li D J, Zhang H Q, Xu E Q. A spatial directivity-based sensitivity analysis to farmland quality evaluation in arid areas[J]. Environmental Science and Pollution Research, 2022, 29(44): 66359-66372.
[24] Song W, Deng X D. Land-use/land-cover change and ecosystem service provision in China[J]. Science of the Total Environment, 2017: 576.
https://doi.org/10.1007/s11356-022-20531-4
[25] 魏玺, 蔡湘文. 基于遥感和GIS的朝阳县土地利用变化分析[J]. 辽宁农业科学, 2022(03): 36-40.
https://doi.org/10.3969/j.issn.1002-1728.2022.03.008
[26] 张军辉. 滨海平原区耕地等别空间格局研究———以河北省黄骅市为例[J]. 中国国土资源经济, 2022, 35(03): 38-44.
https://doi.org/10.19676/j.cnki.1672-6995.000725
[27] 高建岗, 黄锐. 基于耕地质量指数和空间自相关的苏南地区耕地保护分区[J]. 水土保持研究, 2019, 26(03): 213-218.
https://doi.org/10.13869/j.cnki.rswc.2019.03.031
[28] 熊昌盛, 谭荣, 岳文泽. 基于局部空间自相关的高标准 基本农田建设分区[J]. 农业工程学报, 2015, 31(22): 276-284.
[29] 杨荔阳, 易志辉, 林斌, 等. 福建省耕地质量空间自相关分析与耕地保护分区[J]. 中国农业资源与区划, 2018, 39(11): 52-58.
https://doi.org/10.7621/cjarrp.1005-9121.20181108
[30] 韩小英, 杨三维, 李文婷, 等. 平鲁区耕地质量空间分布特征及保护分区[J]. 山西农业科学, 2022, 50(08): 1168-1175.
https://doi.org/10.3969/j.issn.1002-2481.2022.08.14
引用本文魏玺, 蔡湘文, 邵亚, 等. 辽宁A 县耕地质量等别分布特征研究[J]. 中国土地科学前沿, 2023, 1(2): 14-24.
CitationWEI Xi, CAI Xiangwen, SHAO Ya, et al. Research on the distribution characteristics of cultivated land quality grades in A County, Liaoning[J]. Frontiers of Chinese Land Sciences, 2023, 1(2): 14-24.