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区域土地资源人口承载力理论模型及实证研究
引用本文:包广静, 姬超, 程宪波. 基于耕地生产潜力的产量差研究——以云南省盈江县为例[J]. 云南农业大学学报(自然科学), 2018, 33(3): 547-553. DOI: 10.12101/j.issn.1004-390X(n).201707008
作者姓名:包广静  姬超  程宪波
作者单位:1.云南财经大学 城市与环境学院,云南 昆明 650221;2.国土资源与持续发展研究所,云南 昆明 650221
基金项目:云南财经大学研究生创新基金项目(2017YUFEYC045)
摘    要:
ttttt目的ttttt研究云南省盈江县的耕地生产潜力及产量差,为该区域的土地利用、资源保障、经济发展等提供重要的支撑作用。ttttttttttttt方法ttttt以盈江县耕地地力调查数据为基础,利用ArcGIS 10.0软件对基础数据进行转换、叠加及分析,重点关注研究区域中耕地地块的属性,利用生产潜力计算模型分析盈江县耕地生产潜力,并根据耕地的实际产量数据分析其产量差。ttttttttttttt结果ttttt盈江县耕地生产潜力主要分布在9.46~24.87 t/hm2之间,县域均值为14.17 t/hm2,区域差异较大。
产量差分布在16.18%~87.58%之间,县域均值为64.30%。从空间分布角度,县域内区域间的耕地生产潜力及产量差呈现出较大的区域差异,具有明显的区域分布特征,即生产潜力较高的区域主要分布在太平镇、平原镇、弄璋镇等大盈江流域,产量差较高的区域主要分布在盏西镇、勐弄镇、昔马镇等盈江县中、北部区域。ttttttttt
ttttttttt结论ttttt利用ArcGIS对耕地生产潜力及产量差研究,其研究数据可以根据耕地地力调查周期、耕地的实际产量及时的更新,研究结果贴合研究区域实际情况,对于提高农业产出、促进区域农业可持续发展具有积极的意义。tttt


关 键 词:耕地生产潜力  产量差  盈江县  耕地地力调查  ArcGIS
收稿时间:2017-07-04
修稿时间:2017-11-06

The carrying capacity imperative: assessing regional carrying capacity methodologies for sustainable land-use planning
Guangjing BAO, Chao JI, Xianbo CHENG. Research on the Potential Productivity and Yield Gap of Cultivated Land: A Case Study in Yingjiang County[J]. JOURNAL OF YUNNAN AGRICULTURAL UNIVERSITY(Natural Science), 2018, 33(3): 547-553. DOI: 10.12101/j.issn.1004-390X(n).201707008
Authors:Guangjing BAO  Chao JI  Xianbo CHENG
Affiliation:1.College of Urban and Environment, Yunnan University of Finance and Economics, Kunming 650221,China;2.Research on Land Resources and Sustainable Developments, Kunming 650221,China
Abstract:
tttttPurposestttttThe research on the potential productivity and yield gap of cultivated land in Yingjiang County of Yunnan Province has important significance on land utilization, resource guarantee and economic development.tttttttttttttMethodstttttBased on the investigated data of the soil fertility survey and according to the actual farmland distribution of Yingjiang County, we determined the quantity of visit investigation spots for actual yield of cultivated land in different towns, and then utilized the calculation model of farmland production potential and ArcGIS 10.0 software for conversion, superposition and analysis of basic data. We focused on the attribute of cultivated land plot in the research region to analyze the potential productivity and yield gap of cultivated land in Yingjiang County.tttttttttttttResultstttttThe potential productivity of arable land in Yingjiang County focuses on 9.46~24.87 t/hm2, and the average regional value is 14.17 t/hm2, so the regional difference of the cultivated land potential productivity is large. Meanwhile, the yield difference is mainly distributed in 16.
18%~87.58%, and the average regional value is 64.30%. At the same time, from the spatial distribution of the research result, it can be also found that the potential productivity and yield gap of cultivated land among regions within the county and each township has obviously regional distribution characteristics. The areas with higher potential production are mainly distributed in the basin of Daying River such as Pingyuan Town, Nongzhang Town and Taiping Town, meanwhile, the areas with higher yield gap are mainly distributed in the middle and northern regions of Yingjiang, such as Zhanxi Town, Xima Town and Mengnong Town. And it is also large that the difference of cultivated land production potential and yield gap in different townships. The total production potential of the cultivated land is low and the yield gap is high in Yingjiang County. Therefore, it is greater in the county that the actual yield-increasing potential of farmland.ttttttttt
tttttttttConclusiontttttResearch is made on the potential productivity and yield gap of cultivated land by utilizing ArcGIS, and the research data can be updated according to the cultivated land productivity investigation period, meanwhile, the actual yield of farmland and the research result has positive significance on enhancing the agricultural output and promoting sustainable development of regional agriculture.tttt
Keywords:potential productivity of cultivated land  yield gap  Yingjiang County  the soil fertility survey  ArcGIS
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