摘要
基于生态位理论,将生态位模型和指标偏离度思想相结合构建了基于生态位的障碍因子诊断模型。以河南省新郑市为研究对象,从准则层和指标层对制约新郑市高标准农田建设的主要障碍因子展开分析,结果显示:新郑市障碍度在0.5以下的耕地总面积为22 741.14 hm2,占研究区域耕地总面积的41.98%;障碍度在[0.51,0.65]之间的耕地总面积为22 493.79 hm2,占研究区域耕地总面积的41.53%;障碍度大于0.65的耕地总面积为8 933.01 hm2,占研究区域耕地总面积的16.49%。总体来看,新郑市耕地整体自然禀赋条件较好,障碍度不高。制约新郑市高标准农田建设的主要障碍因子是灌溉保证率和排水条件,部分地区的土壤有机质含量偏低和土壤污染指数偏高。利用该模型获取了新郑市高标准农田建设主要障碍因子的空间分布信息,与实地调查分析结果相符,验证了模型的有效性。该模型既克服了目前障碍因子诊断模型中主观赋权的局限性,又以最适生态位值代替指标偏离度模型中的100%值,为指标偏离度模型中100%值的确定提供了相关的理论和科学依据,弥补了障碍因子诊断模型的不足,为障碍因子诊断提供了新思路,拓展了生态位理论的应用范围。
It is a pivotally strategic measure for China to carry out the rural land consolidation and construct a large-scale well-facilitied farmland which gives stable production despite drought or excessive rain. Because of the different topography,landform,specific factors that restrict agricultural production,the key to solve the well-facilitied farmland construction is also different. Therefore,the most urgent and the prominent obstacle factors that affect the improvement of soil fertility in the well-facilitied farmland construction project must be grasped,so as to eliminate the barrier factors and solve the main problems in the process of land consolidation. The research on the diagnosis of farmland construction obstacle factors was carried out based on Xinzheng City. The research was based on the theory of ecological niche. In the process of diagnosis,the niche suitability evaluation model and the thought of index deviation degree were combined to construct disorder factor diagnosis model based on ecological niche. The index deviation from the optimal niche and the niche deviation of each evaluation factor were calculated by using the model,and the barrier degree of each index was got. Then,the obstacle degree of each evaluation unit was obtained according to the Shefold restriction law. Finally,the factor of the barrier factor value Oimore than 0. 4 of each evaluation unit in the region was screened out. The frequency of these factors was calculated and sorted according to the order from large to small,so as to dig out the main obstacle factors affecting the construction of well-facilitied farmland in Xinzheng City. The model not only overcame the limitations of the subjective weighting in the current diagnosis model of obstacle factors,but also replacedthe 100% values in the index deviation model with the optimal niche value,providing theoretical and scientific basis to determine the 100% degree model values of deviation. The model made up for the deficiency of the barrier factor diagnostic model,and made the barrier factor diagnosis model more scientific and reasonable. It provided a new approach for the diagnosis of obstacle factors,and expanded the application of niche theory at the same time. The results showed that the overall obstacle degree was not so high in Xinzheng City. The total farmland area below obstacle degree score of 0. 5 was 22 741. 14 hm2,which accounted for 41. 98% of the total farmland area in the study area; the total farmland area whose obstacle degree score was in interval of [0. 51,0. 65]was 22 493. 79 hm2,which accounted for 41. 53%of the total farmland area in the study area; the total farmland area whose obstacle degree score was in interval of [0. 66,0. 8] was 3 873. 96 hm2,and the total farmland area above obstacle degree score of0. 8 was 5 059. 05 hm2,separately accounted for 7. 15% and 9. 34% of the total farmland area in the study area. The overall natural endowment of cultivated land in Xinzheng City was pretty good,so the main limiting factors to well-facilitied farmland construction in Xinzheng City were guaranteed rate of irrigation and drainage conditions as well as part of low soil organic matter and high soil pollution index.By using this model,the spatial distribution information of main barrier factors of well-facilitied farmland construction in Xinzheng City was obtained,which was consistent with the results of field investigation and analysis,so that the validity of the model was verified. The model reliably provided a basis for the design of well-facilitied farmland construction plan.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2018年第1期194-202,共9页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家自然科学基金项目(41641057
41371524)
国土资源部公益性行业科研专项(201411022)
河南省教育厅重点项目(15A420006)
河南省高校科技创新团队项目(18IRTSTHN008)
关键词
生态位
障碍因子诊断模型
指标偏离度模型
高标准农田
新郑市
ecological niche
obstacle indicators diagnosis model
index deviation degree model
wellfacilitied farmland
Xinzheng City
