中国农业气象 ›› 2026, Vol. 47 ›› Issue (3): 377-389.doi: 10.3969/j.issn.1000-6362.2026.03.006

• 农业生物气象栏目 • 上一篇    下一篇

基于气候适宜性指数的重庆三峡库区五种牧草精细气候区划

周浩,李家旭   

  1. 1.南京信息工程大学遥感与测绘工程学院,南京 210044;2.中国气象局气候资源经济转化重点开放实验室,重庆 401120; 3.重庆舍特气象应用研究所有限责任公司,重庆 401120
  • 收稿日期:2025-02-24 出版日期:2026-03-20 发布日期:2026-03-17
  • 作者简介:周浩,E-mail:38220588@qq.com
  • 基金资助:
    重庆市气象部门业务技术攻关项目(YWJSGG-202414;YWJSGG-202413)

Fine-scale Climatic Zoning of Five Pasture Grasses Based on a Climate Suitability Index in the Chongqing Section of the Three Gorges Reservoir Area

ZHOU Hao, LI Jia-xu   

  1. 1.School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China; 2.Economic Transformation of Climate Resources Key Laboratory, China Meteorological Administration, Chongqing 401120; 3.Chongqing Shete Meteorological Application Research Institute, Chongqing 401120
  • Received:2025-02-24 Online:2026-03-20 Published:2026-03-17

摘要: 基于重庆市三峡库区2011−2020年1058个气象观测站点逐日气象数据、30m×30m数字高程模型,以及五种常见牧草气候适宜性指标,综合考虑气候条件对牧草生长的满足程度和牧草对气候的适应度,选取年平均温度、≥0℃活动积温、极端温度、年平均降水量、日照时数、无霜期、平均相对湿度和海拔共8项因子作为区划指标,采用空间插值方法进行空间化模拟推算,根据模糊数学和综合指数法,构建牧草气候适宜性区划指数,利用自然断点法对牧草气候适宜性进行30m×30m气候区划。结果表明:(1)重庆市三峡库区牧草气候适宜性区划指数范围为0.47~0.76,其中高值区(0.72~0.76)和一般值区(0.66~0.72)面积占比分别为65.0%和32.2%,表明重庆市三峡库区大部分区域能够为牧草的生长提供良好的气候条件。(2)五种牧草均能适应当地气候,适应程度由高到低依次为紫花苜蓿、皇竹草、甜高粱、多花黑麦草、象草。(3)五种牧草的气候适宜性区划结果相似,但在各区县的具体分布略有差异。不适宜区主要集中在库区北部、东部、西南部和南部的少数区域,其余大部分地区为牧草适宜区和次适宜区。

关键词: 重庆市三峡库区, 牧草气候适宜性, 气候区划, GIS

Abstract:

To precisely characterize the spatial distribution of climate suitability for pasture cultivation in the Chongqing section of the Three Gorges reservoir area (TGRA), a comprehensive assessment was conducted. Daily meteorological data from 1058 observation stations from 2011 to 2020, a 30meter digital elevation model (DEM), and climatic suitability indicators for five commonly cultivated pasture species were integrated. Eight factors, including mean annual temperature, accumulated temperature above 0℃, extreme temperature, mean annual precipitation, sunshine duration, frostfree period, mean relative humidity and elevation, were selected as zoning indicators. These indicators were spatialized using interpolation methods, and a new Pasture climate suitability index (PCSI) was constructed based on fuzzy mathematics and a weighted comprehensive evaluation method. Natural breaks (Jenks optimization) were used to classify climate suitability into three levels: suitable, sub−suitable and unsuitable, while areas categorized as other refer to water bodies and builtup land excluded from the suitability evaluation. The results showed that the PCSI values across the TGRA ranged from 0.47 to 0.76, with suitable areas (0.72−0.76) and sub−suitable areas (0.66−0.72) accounting for 65.0% and 32.2% of the total area, respectively, indicating favorable climatic conditions for pasture growth in most of the region. All five pasture species exhibited a relatively high level of climatic adaptability. In terms of overall suitability, the ranking from highest to lowest was: alfalfa > hybrid giant napier > sweet sorghum > annual ryegrass > napier grass. Although the spatial suitability patterns of the five species were generally consistent, there were regional differences in the proportions of suitability classes. Suitable and sub−suitable zones were widely distributed, while unsuitable areas were mainly located in the northern, eastern, southwestern and some southern highaltitude regions of the TGRA. The largest Suitable area proportion was observed for alfalfa (57.9%), while the highest proportion of unsuitable areas occurred for annual ryegrass (18.0%) and the lowest for alfalfa (6.7%). 

Key words: Three Gorges reservoir area (Chongqing section), Climate suitability for pasture grasses, Agro?climatic zoning, GIS