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自然资源遥感  2025, Vol. 37 Issue (3): 253-264    DOI: 10.6046/zrzyyg.2024065
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
新疆生态脆弱性时空演变特征及其对干旱的响应
陆建涛1(), 郑江华1,2(), 彭建3, 肖向华3, 李刚勇3, 刘亮1, 王仁军1, 张建立3
1.新疆大学地理与遥感科学学院,乌鲁木齐 830046
2.新疆大学绿洲生态重点实验室,乌鲁木齐 830046
3.新疆草原总站,乌鲁木齐 830049
Spatiotemporal evolution of ecological vulnerability in Xinjiang and its response to drought
LU Jiantao1(), ZHENG Jianghua1,2(), PENG Jian3, XIAO Xianghua3, LI Gangyong3, LIU Liang1, WANG Renjun1, ZHANG Jianli3
1. College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
2. Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China
3. Xinjiang Grassland Station, Urumqi 830049, China
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摘要 随着全球气候变暖,干旱对生态系统结构和功能构成了巨大威胁,剖析生态系统脆弱性时空演变特征及其对干旱的响应,对于实现区域高质量可持续发展至关重要。该文以新疆为研究区,基于生态敏感性-生态恢复力-生态压力度(ecological sensitivity-ecological recovery-ecological pressure,SRP)模型构建生态脆弱性评价指标体系,结合局部空间自相关、变异系数、Slope趋势分析和Hurst指数等方法,评价2000—2020年生态系统脆弱性并预测未来变化趋势,利用标准化降水蒸散指数(standardized precipitation evapotranspiration index,SPEI)探究干旱对生态脆弱性的影响。结果表明: ①新疆地区整体生态脆弱性较高,脆弱性空间分布存在明显的地域差异及空间聚集性特征; SPEI值以年均0.093 9的速率呈下降趋势,区域干旱化加重趋势明显; ②干旱与生态脆弱性呈负相关的面积占比54.1%,即随着区域水分条件改善,大部分地区生态脆弱性降低; ③生态脆弱性的稳定分布区域面积占比77.8%,以重度和极度脆弱区为主,未来新疆大部分地区(61.3%)生态脆弱性呈降低趋势,生态环境质量得到改善。研究结果有利于深化对新疆生态系统脆弱性状况及其驱动机制的认识,为提高区域生态系统对环境变化的适应能力提供科学参考和决策依据。
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陆建涛
郑江华
彭建
肖向华
李刚勇
刘亮
王仁军
张建立
关键词 生态脆弱性SRP模型标准化降水蒸散指数相关性分析未来趋势预测    
Abstract

Global warming has exacerbated drought conditions, posing a significant threat to ecosystem structures and functions. Analyzing the spatiotemporal evolution of ecological vulnerability and its response to drought plays a significant role in achieving regional high-quality and sustainable development. With Xinjiang as the study area, this study constructed an assessment index system for ecological vulnerability based on the ecological sensitivity-resilience-pressure (SRP) model. Using methods like local spatial autocorrelation, coefficient of variation, slope trend analysis, and Hurst exponent, this study assessed the ecological vulnerability in Xinjiang from 2000 to 2020, followed by future trend prediction. Moreover, this study explored the impacts of drought on ecological vulnerability using the standardized precipitation evapotranspiration index (SPEI). The results indicate that the overall ecological vulnerability was relatively high in Xinjiang, with its spatial distribution characterized by significant regional differences and spatial aggregation. The SPEI value showed a downward trend at an average annual rate of 0.093 9, suggesting a significant worsening trend of regional aridification. The area featuring a negative correlation between drought and ecological vulnerability represented 54.1 %, indicating that ecological vulnerability in most areas decreased with improved regional moisture conditions. The stable distribution area of ecological vulnerability constituted 77.8 %, dominated by severely and extremely vulnerable areas. In the future, the majority of Xinjiang (61.3 %) is projected to witness decreased ecological vulnerability and enhanced ecological quality. Overall, the results of this study deepen the understanding of the status and driving mechanism of ecological vulnerability in Xinjiang, providing a scientific reference and decision-making basis for enhancing the adaptability of regional ecosystems to environmental changes.

Key wordsecological vulnerability    ecological sensitivity-resilience-pressure (SRP) model    standardized precipitation evapotranspiration index (SPEI)    correlation analysis    future trend prediction
收稿日期: 2024-02-06      出版日期: 2025-07-01
ZTFLH:  TP79  
基金资助:新疆草原总站委托横向科研项目“新疆天然草原生态脆弱性评价”(202234140009);“极端干旱对新疆草地净初级生产力的影响研究”(202105140044)
通讯作者: 郑江华(1973-),男,博士,教授,研究方向为遥感与地理信息系统应用。Email: zheng.jianghua@xju.edu.cn
作者简介: 陆建涛(1998-),男,硕士研究生,研究方向为植被与生态环境遥感。Email: lujiantaos@163.com
引用本文:   
陆建涛, 郑江华, 彭建, 肖向华, 李刚勇, 刘亮, 王仁军, 张建立. 新疆生态脆弱性时空演变特征及其对干旱的响应[J]. 自然资源遥感, 2025, 37(3): 253-264.
LU Jiantao, ZHENG Jianghua, PENG Jian, XIAO Xianghua, LI Gangyong, LIU Liang, WANG Renjun, ZHANG Jianli. Spatiotemporal evolution of ecological vulnerability in Xinjiang and its response to drought. Remote Sensing for Natural Resources, 2025, 37(3): 253-264.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/zrzyyg.2024065      或      https://www.gtzyyg.com/CN/Y2025/V37/I3/253
Fig.1  研究区示意图
要素层 指标层 指标性质 权重
生态敏感性 高程
坡度
地形起伏度


0.062
0.043
0.027
景观破碎度
土壤侵蚀程度
年均降水量


0.085
0.092
0.055
年均气温 0.036
生态恢复力 FVC
景观干扰度指数
NPP


0.125
0.145
0.130
生态压力度 人均GDP
人口密度
人类足迹数据


0.044
0.074
0.082
Tab.1  生态脆弱性评价指标体系
等级 取值范围 脆弱性
分类
恢复力
等级
生态特征
(0,0.2] 微度脆弱 5级 生态功能完整,抗外界干扰和自我恢复能力强
(0.2,0.4] 轻度脆弱 4级 生态功能较为完善,抗外界干扰和自我恢复能力较强
(0.4,0.6] 中度脆弱 3级 生态功能一般,抗外界干扰和自我恢复能力较弱
(0.6,0.8] 重度脆弱 2级 生态功能部分退化,抗外界干扰和自我恢复能力弱
(0.8,1] 极度脆弱 1级 生态功能严重退化,抗外界干扰和自我恢复能力差
Tab.2  新疆地区SRP模型生态脆弱性分级标准
取值范围 变化趋势
θslope<0,0.5<H<1 持续改善
θslope<0,0<H<0.5 反持续性改善
θslope>0,0.5<H<1 持续恶化
θslope>0,0<H<0.5 反持续性恶化
H=0.5 无法预测
Tab.3  未来变化趋势分级
Fig.2  新疆SPEI年际变化及M-K突变检验
Fig.3  新疆年际SPEI空间分布
Fig.4  2000—2020年EVI年际变化趋势及脆弱性面积占比示意图
Fig.5  2000—2020年新疆生态脆弱性转移矩阵桑基图(单位: 104 km2)
Fig.6  生态系统恢复力空间格局分布
Fig.7  生态系统脆弱性空间格局分布
Fig.8  2000—2020年新疆地区脆弱性指数空间集聚图
Fig.9  EVI变异系数及其空间稳定性示意图
Fig.10  SPEI与恢复力相关系数及显著性分类结果
Fig.11  SPEIEVI相关系数及显著性分类结果
Fig.12  EVI变化率及未来变化趋势
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