首页|基于水-能-粮关联关系的贵州农作物种植结构优化调整

基于水-能-粮关联关系的贵州农作物种植结构优化调整

扫码查看
以贵州省为例,基于相关统计数据,采用水足迹与能耗核算模型,分析 2010-2020 年贵州 5 种农作物(稻谷、玉米、马铃薯、油菜、大豆)耗水和耗能特征,以经济和生态效益为目标,构建约束条件为水资源、能源、土地、粮食的多目标优化模型,以期科学优化贵州主要农作物种植结构。结果表明:(1)2010-2020年贵州主要农作物单位面积水足迹和能源消耗差异明显,稻谷为极高耗水耗能作物,马铃薯为高耗水耗能作物,大豆为高耗水中耗能作物,玉米为中耗水低耗能作物,油菜为低耗水耗能作物。(2)主要农作物水足迹均以绿水消耗为主,稻谷、玉米和马铃薯的水足迹占总水足迹的 85%,是水足迹的主要贡献来源;能耗结构方面,各农作物有所不同,稻谷以电力消耗为主,玉米和马铃薯以化肥消耗为主,油菜和大豆以燃料消耗为主,稻谷和马铃薯能耗占总能耗的 69%,是能源消耗的主要贡献来源。(3)基于自然条件差异,贵州农作物种植结构空间差异明显,稻谷主要分布在黔南海拔 600m以下地势平坦地区,玉米在全省各区域均有种植,但品质有所差异,马铃薯主要种植在海拔 100-2900m区域,油菜主要种植于黔中地区,大豆在各个区域均有种植且各区域占比差异小。(4)优化后全省主要农作物种植面积略有减少,其中,油菜和马铃薯的种植面积和占比有所提高,种植面积分别提高 1。4 万hm2 和 14。6万hm2,占比分别增加 0。6 个和 1。6 个百分点;稻谷和玉米种植面积和占比下降,种植面积分别减少 17。1 万hm2 和 38。6 万hm2,占比分别减少 0。3 个和 1。5 个百分点;大豆保持稳定;优化后全省经济效益保持稳定,水足迹减少 30。6 亿m3,化肥使用量减少 1。5 亿t,能源消耗减少 245。9 万GJ,生态效益明显提高。基于水-能-粮关联关系优化后的种植结构兼顾了经济效益和生态效益,整体呈低耗水、低耗能、低污染的特点,可促进贵州农业的可持续发展。
Optimization of Crop Planting Structure in Guizhou Based on the Water-Energy-Food Nexus
The water and energy consumption characteristics of five crops(rice,corn,potato,rape and soybean)in Guizhou from 2010 to 2020 were analyzed using a water footprint and energy consumption accounting model based on relevant statistical data.Additionally,a multi-objective optimization model with constraints on water resources,energy,land,and food supply was developed to achieve optimal economic and ecological benefits,aiming to scientifically optimize the planting structure of five crops in Guizhou.The results showed:(1)there were significant differences in the water footprint and energy consumption per unit area of major crops in Guizhou during the period from 2010 to 2020.Specifically,rice,potato,soybean,corn,and rape were classified as extremely high water and energy-consuming crops,high water and energy-consuming crops,high water but medium energy-consuming crops,medium water and low energy-consuming crops,and low water and energy-consuming crops,respectively.(2)The water footprints of five crops were primarily dominated by green water consumption.Among them,rice,corn,and potato were the major contributors to the water footprint,accounting for 85%of the total.The energy consumption structure of five crops differed,with rice mainly consuming electricity,corn and potato mainly consuming chemical fertilizers,and rape and soybean primarily consuming fuel.Notably,rice and potato were the major contributors to the energy consumption,accounting for 69%of the total.(3)There were significant spatial variations in the crop planting structure in Guizhou due to differences in natural conditions.Specifically,rice was primarily distributed in the flat areas below 600m in altitude in southern Guizhou,corn was planted across the province but with varying qualities,potato was mainly cultivated in areas with altitudes ranging from 100 to 2900m,rape was primarily planted in central Guizhou,and soybean was cultivated in all regions with small differences in the proportion of each region.(4)After optimization,there was a slight decrease in the total planting area of five crops in Guizhou province.Notably,the planting area of rape and potato increased by 14000 and 146000ha respectively,resulting in their shares increasing by 0.6 and 1.6 percentage points,respectively.Conversely,the planting area of rice and corn decreased by 171000 and 386000ha,respectively,causing their shares to decrease by 0.3 and 1.5 percentage points,respectively.Following the optimization in Guizhou,there was a reduction in water footprint of 3.06 billion m3,a decrease in chemical fertilizer usage of 150 million tons,and a reduction in energy consumption of 2459000 GJ.Consequently,the ecological benefits have been significantly improved,while the economic benefits have remained stable.The optimized planting structure,based on the water-energy-food nexus,considers both economic and ecological benefits,exhibiting characteristics of low water consumption,low energy consumption,and low pollution.This further promotes the sustainable development of agriculture in Guizhou.

Water-energy-food nexusWater footprintEnergy consumptionGuizhouOptimization of cropping structure

韩顺莉、张鹏飞、卢媛、张娇娇、刘庚、戴燕燕、张蕾、郭利刚

展开 >

太原师范学院地理科学学院,太原 030619

太原师范学院汾河流域地表过程与资源生态安全山西省重点实验室,太原 030619

太原师范学院经济与管理学院,太原 030619

水-能-粮关联关系 水足迹 能耗 贵州 种植结构优化

2024

中国农业气象
中国农业科学院农业环境与可持续发展研究所

中国农业气象

CSTPCD
影响因子:1.679
ISSN:1000-6362
年,卷(期):2024.45(12)