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基于地理探測(cè)器的山區(qū)作物生產(chǎn)潛力指數(shù)修正研究
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國(guó)土資源部財(cái)政預(yù)算項(xiàng)目(2018-02-07)


Correction of Crop Production Potential Index in Mountainous Area Based on Geodetector
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    摘要:

    運(yùn)用地理探測(cè)器的方法,以青海省海東市平安區(qū)及其周邊共70個(gè)縣級(jí)行政單位為研究對(duì)象,探測(cè)地形、氣象因素不同分層方式對(duì)生產(chǎn)潛力指數(shù)的解釋力,并對(duì)指定作物生產(chǎn)潛力指數(shù)進(jìn)行修正。結(jié)果表明:研究區(qū)內(nèi),顯著影響作物生產(chǎn)潛力指數(shù)的因素為海拔和年均降雨量;研究區(qū)內(nèi)海拔對(duì)作物光溫生產(chǎn)潛力指數(shù)解釋力最高的分層方式為以1100m為基數(shù)、200m為間隔,年均降雨量對(duì)作物光溫生產(chǎn)潛力指數(shù)解釋力最高的分層方式為以0mm為基數(shù)、100mm為間隔;海拔對(duì)作物氣候生產(chǎn)潛力指數(shù)解釋力最高的分層方式為以1100m為基數(shù)、200m為間隔,年均降雨量對(duì)作物氣候生產(chǎn)潛力指數(shù)解釋力最高的分層方式為以25mm為基數(shù)、50mm為間隔。平安區(qū)驗(yàn)證分層結(jié)果表明,作物光溫生產(chǎn)潛力指數(shù)與耕地質(zhì)量等級(jí)年度更新調(diào)查評(píng)價(jià)工作中使用的光溫生產(chǎn)潛力指數(shù)與修正前相比有不同程度降低;氣候生產(chǎn)潛力指數(shù)與耕地質(zhì)量等級(jí)年度更新調(diào)查評(píng)價(jià)工作中使用的氣候生產(chǎn)潛力指數(shù)與修正前相比有不同程度升高;按照本文方法對(duì)作物生產(chǎn)潛力指數(shù)進(jìn)行修正后,水澆地的自然等別整體下降,旱地的自然等別整體上升。

    Abstract:

    The cultivated land quality grading results are an important reference for the implementation of the trinity protection of cultivated land quantity, quality and ecology. Crop production potential index is one of the most important parameters in the evaluation of cultivated land quality, and its accuracy determines the scientific nature of the survey results of cultivated land quality grades in China. By using the method of geodetector, a total of 70 counties, including Ping’an county and its surrounding counties were used as research objects to detect the interpretation of production potential index by different stratification methods of topography and meteorological factors, and revise the production potential index of appointment crop. The key results were as follows: in the study area, the factors that significantly affected the crop production potential index were altitude and annual average rainfall;the stratification method of altitude with the highest explanatory power for crop light temperature production potential index was based on 1100m, and 200m as interval;the stratification method of annual average rainfall with the highest explanatory power for crop light temperature production potential index was based on 0mm, and 100mm as interval;for the climate production potential index, the stratification method of altitude with the highest explanatory power was based on 1100m, and 200m as interval, and the stratification method of annual average rainfall was based on 25mm, and 50mm as interval. According to the correction result of Ping’an county, the crop light temperature production potential index was reduced to a different extent compared with the light temperature production potential index used in cultivated land quality grade survey and evaluation;while the climate production potential index was generally rose. Using the model proposed, natural grade of nonirrigated cultivated land was rose overall, but natural grade of irrigated cultivated land was reduced in different extents.

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楊永俠,張函,郭雅萍,張麗紅,桑婧.基于地理探測(cè)器的山區(qū)作物生產(chǎn)潛力指數(shù)修正研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2019,50(7):267-274. YANG Yongxia, ZHANG Han, GUO Yaping, ZHANG Lihong, SANG Jing. Correction of Crop Production Potential Index in Mountainous Area Based on Geodetector[J]. Transactions of the Chinese Society for Agricultural Machinery,2019,50(7):267-274.

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  • 收稿日期:2018-12-13
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  • 在線發(fā)布日期: 2019-07-10
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