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云南作物生产潜力的海拔修正对耕地自然等别评价结果的影响
引用本文:廖丽君,余建新,郑宏刚,张建生,刘淑霞,巍巍.云南作物生产潜力的海拔修正对耕地自然等别评价结果的影响[J].农业工程学报,2016,32(23):246-253.
作者姓名:廖丽君  余建新  郑宏刚  张建生  刘淑霞  巍巍
作者单位:1. 云南农业大学国土资源科学技术工程研究中心,昆明 650201; 云南农业大学水利学院,昆明 650201; 国土资源部“土地利用--云南陆良野外基地”,昆明 650201;2. 云南农业大学国土资源科学技术工程研究中心,昆明 650201; 云南农业大学水利学院,昆明 650201;3. 国土资源部“土地利用--云南陆良野外基地”,昆明,650201
基金项目:国土资源部公益性行业科研专项项目"乌蒙山区扶贫国土开发关键技术研究及示范应用"(201511003-1)
摘    要:作物光温生产潜力(thermal potential productivity,TPP)、气候生产潜力(climatic potential productivity,CPP)是农用地质量分等技术体系中的重要参数,其客观性对分等结果的准确性有很大影响。在耕地分布海拔差异较大的区域,实际工作中以县级气象站点TPP、CPP代替全县域TPP、CPP的取值方式导致耕地质量评价结果的准确性不足。该文旨在通过对气象站点指定作物TPP、CPP进行海拔修正,获取陆良县气象站点以外区域的指定作物潜力值并探讨其对耕地自然质量等的影响。首先,以第1轮云南省农用地分等工作中陆良县归属的滇中高原盆地区56个县级气象站点指定作物的TPP、CPP为基础,生成区域内一季稻、夏玉米、冬小麦TPP、CPP的海拔修正模型;其次,在陆良县县域范围内,每村各选取一块质量最好的旱地和水田,以样点旱地、样点水田作物实际单产验证模型的合理性;最后,验算陆良县范围内所有耕地采用修正后的TPP、CPP评定的自然质量等与采用修正前的TPP、CPP评定的自然质量等的差异。结果显示:各样点一季稻、夏玉米、冬小麦的实际单产均低于修正前和修正后的TPP、CPP,且与修正后的TPP、CPP随海拔的变化趋势一致;修正后的一季稻、夏玉米、冬小麦TPP、CPP较修正前更符合自然实际;全县修正后的耕地自然质量等较修正前变化范围为?0.8~1.7等,且99.76%的耕地自然质量等较修正前降低值在1.5等以内。

关 键 词:作物  土地利用  分等  农用地质量分等  作物生产潜力  海拔修正  陆良县
收稿时间:2016/1/28 0:00:00
修稿时间:2016/9/17 0:00:00

Influence of altitude correction of potential productivity of crops on agricultural land physical quality grade in Yunnan province
Liao Lijun,Yu Jianxin,Zheng Honggang,Zhang Jiansheng,Liu Shuxia and Wei Wei.Influence of altitude correction of potential productivity of crops on agricultural land physical quality grade in Yunnan province[J].Transactions of the Chinese Society of Agricultural Engineering,2016,32(23):246-253.
Authors:Liao Lijun  Yu Jianxin  Zheng Honggang  Zhang Jiansheng  Liu Shuxia and Wei Wei
Institution:1. Engineering Research Center of Science and Technology of Land and Resources, Yunnan Agricultural University, Kunming 650201, China; 2. College of Water Conservancy,Yunnan Agricultural University, Kunming 650201, China; 3. Field Scientific Observation & Research Bases for Land Use in Yunnan Luliang of Ministry of Land and Resources, Kunming 650201, China,1. Engineering Research Center of Science and Technology of Land and Resources, Yunnan Agricultural University, Kunming 650201, China; 2. College of Water Conservancy,Yunnan Agricultural University, Kunming 650201, China; 3. Field Scientific Observation & Research Bases for Land Use in Yunnan Luliang of Ministry of Land and Resources, Kunming 650201, China,1. Engineering Research Center of Science and Technology of Land and Resources, Yunnan Agricultural University, Kunming 650201, China; 2. College of Water Conservancy,Yunnan Agricultural University, Kunming 650201, China; 3. Field Scientific Observation & Research Bases for Land Use in Yunnan Luliang of Ministry of Land and Resources, Kunming 650201, China,1. Engineering Research Center of Science and Technology of Land and Resources, Yunnan Agricultural University, Kunming 650201, China; 2. College of Water Conservancy,Yunnan Agricultural University, Kunming 650201, China,1. Engineering Research Center of Science and Technology of Land and Resources, Yunnan Agricultural University, Kunming 650201, China; 2. College of Water Conservancy,Yunnan Agricultural University, Kunming 650201, China and 3. Field Scientific Observation & Research Bases for Land Use in Yunnan Luliang of Ministry of Land and Resources, Kunming 650201, China
Abstract:Crop potential productivity (PP) refers to the highest yield of fine crop variety per unit area that might be obtained assuming all or part of the factors are in the optimum state. Thermal potential production (TPP) refers to the highest yield of ideal crop colony in the condition of local sunlight and temperature assuming that the agricultural production condition has been fully guaranteed in adequate supply of water, CO2 and suitable states of other environmental factors, while climatic potential production (CPP) refers to the theoretical yield of crops taking precipitation effect into further consideration based on TPP. The “Regulation for Gradation on Agriculture Land Quality” GB/T 28407-2012 (Regulation) provides the crops’ TPP and CPP nationwide according to the reports of sowing/harvest date from all provinces, and the meteorological data of 2231 stations from the National Meteorological Administration within 30 years (1961-1990). Each county just provides one set of TPP and CPP data for appointment crop according to the meteorological data from only one station in the county, and the PP value of crop only represents the local conditions. Yunnan Province is the most prominent and representative region of stereo climate in China. There are 1669 dams with the area of larger than 1 km2 across Yunnan Province, totally covering the area of 245.35 hm2. Each county has many combined configurations of “dam-hill-mountain” with larger differences in TPP and CPP. In the first-round grading work on agricultural land quality in Yunnan Province, most of the counties use the TPP and CPP from meteorological stations representing the value of TPP and CPP of the whole county to calculate the agricultural land quality grade index, which must be very different from the actual situations. Therefore, it is particularly necessary to make altitude correction of TPP and CPP in order to ensure the objectivity and veracity of classification results in Yunnan Province. This paper is aimed to obtain the PP value of appointment crops outside the regions with meteorological stations by making altitude correction on TPP and CPP of appointment crops from county meteorological stations in plateau basin regions of Yunnan according to the “Regulation”, and to investigate its influence on agricultural land physical quality grade. This paper made an altitude correction model on the TPP and CPP of one-season rice, summer maize and winter wheat according to the TPP and CPP data of appointment crops from 56 county meteorological stations in plateau basin regions where Luliang County locates. Then a paddy land and a dry land of high quality were respectively chosen in each village to verify the rationality of the model according to per unit area yield of actual crops in paddy land and dry land. The differences of agricultural land physical quality grade before and after altitude correction of TPP and CPP in Luliang County were testified. The results showed that the actual crop yield per unit area for one-season rice, summer maize and winter wheat was all less than the value of TPP and CPP before and after altitude correction, and had the same change tendency of the TPP and CPP after altitude correction with the altitude change, and the TPP and CPP after altitude correction of one-season rice, summer maize and winter wheat much more conformed to actual situations than that before. The reduction range of agricultural land physical quality grade after altitude correction was between ?0.8,1.7], 99.76% of which was within 1.5 in Luliang. There is only one meteorological station in each county actually, and most are located in dams, while just few in mountains. The PP could not be calculated based on the meteorological data because lacking the meteorological stations for regions around. Most counties obtained the crops’ PP value by using altitude correction in the regions outside meteorological stations in Yunnan. The TPP and CPP after altitude correction were chosen to evaluate the agricultural land physical quality grade if the altitude of the majority of agricultural land in the county was higher than that of the meteorological station, which was a little lower than that before. The regulation model of crop PP changing with altitude is the key to altitude correction, which is directly influenced by choosing standard spot. It is different to build up an altitude correction model for whole province conforming to the actual situation by taking the crops’ PP of county meteorological stations as standard spot for certain appointment crops, because the meteorological stations have limited amount and uneven distribution in Yunnan Province. The further research direction is to build up altitude correction model and program in partitions, and to perform the connections in partitions.
Keywords:crops  land use  grading  gradation on agriculture land quality  crops potential production  altitude correction  Luliang county
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