云贵高原生态系统弹性力评价分析

张超雅; 李鹏; 龚倪冰; 赵晨光; 许垚涛; 孟永霞

doi:10.13870/j.cnki.stbcxb.2023.02.015

您当前的位置：

首页 >

文章列表页 >

云贵高原生态系统弹性力评价分析

更新时间：2025-03-12

- 云贵高原生态系统弹性力评价分析
- Evaluation of Ecosystem Resilience in Yunnan-Guizhou Plateau, China
- 水土保持学报 2023年37卷第2期页码：120-126
- 作者机构：
  
  1. 西安理工大学西北旱区生态水利国家重点实验室,西安,710048
  2. 旱区生态水文与灾害防治国家林业和草原局重点实验室,西安,710048
- 作者简介：
  
  [ "张超雅(1995—),女,新疆昌吉人,在读硕士研究生,主要从事水土保持与荒漠化防治研究。E-mail:18096812428@163.com" ]
- 基金信息：
  
  国家自然科学基金黄河水科学研究联合基金重点项目"黄河中游水系格局与河流形态变化及水沙效应"(U2243201)
- DOI：10.13870/j.cnki.stbcxb.2023.02.015
  中图分类号： X826
- 纸质出版：2023
- 稿件说明：
移动端阅览
张超雅, 李鹏, 龚倪冰, 等. 云贵高原生态系统弹性力评价分析[J]. 水土保持学报, 2023,37(2):120-126.

ZHANG Chaoya, LI Peng, GONG Nibing, et al. Evaluation of Ecosystem Resilience in Yunnan-Guizhou Plateau, China[J]. 2023, 37(2): 120-126.
张超雅, 李鹏, 龚倪冰, 等. 云贵高原生态系统弹性力评价分析[J]. 水土保持学报, 2023,37(2):120-126. DOI： 10.13870/j.cnki.stbcxb.2023.02.015.

ZHANG Chaoya, LI Peng, GONG Nibing, et al. Evaluation of Ecosystem Resilience in Yunnan-Guizhou Plateau, China[J]. 2023, 37(2): 120-126. DOI： 10.13870/j.cnki.stbcxb.2023.02.015.

摘要

利用云贵高原2000年、2010年和2018年的遥感影像及气象数据

并结合生态系统弹性力计算方法

对云贵高原生态系统弹性力进行计算

分析了云贵高原25个市生态系统弹性力的时空分布特征

同时对其变化的主要影响因素进行探究。结果表明:云贵高原生态系统弹性力在研究期内呈现逐年增加趋势;在空间上

云贵高原生态系统弹性力分布为西南高、西北低、中部局部较低

东部较高。将生态系统弹性力分为4个等级

其中较弱和中等等级面积占比呈减少趋势

较强和很强等级面积占比逐年增加。驱动因子分析表明

降雨和气温是影响生态系统弹性力空间分布变化的主要因素。研究结果可对云贵高原生态系统保护提供一定的科学依据。

Abstract

Using the remote sensing images and meteorological data of the Yunnan-Guizhou Plateau in 2000

2010 and 2018 and combining with the calculation method of ecosystem resilience

the ecosystem resilience of the Yunnan-Guizhou Plateau was calculated

the spatial and temporal distribution characteristics of the ecosystem resilience in 25 cities of the Yunnan-Guizhou Plateau were analyzed.

and the main influencing factors of its changes were also explored.The results showed that the ecosystem resilience of the Yunnan-Guizhou Plateau increased steadily from 2000 to 2018

indicating that the self-regulation and anti-disturbance capabilities of the ecosystem in this region were continuously enhanced.Spatially

the distribution of ecosystem resilience in the Yunnan-Guizhou Plateau was high in the southwest

low in the northwest

relatively lower in the middle

and relatively higher in the eastern.The ecosystem resilience was divided into four grades

among which the proportion of weak and medium grades showed a decreasing trend;the proportion of strong and very strong grades increased year by year.The driving factor analysis showed that rainfall and temperature were the main factors affecting the spatial distribution of ecosystem resilience.The results can provide a certain scientific basis for ecosystem protection in the Yunnan-Guizhou Plateau.

关键词

Keywords

references

Holling C S. Resilience and stability of ecological systems[J].Annual Review of Ecology and Systematics,1973,4(1):1-23.

王宁,刘平,黄锡欢.生态承载力研究进展[J].中国农学通报,2004,20(6):278-281.

Zhu J M. Exploring the resilience of industrial ecosystems[J].Journal of Environmental Management,2013,122:65-75.

Westman W E. Measuring the inertia and resilience of ecosystems[J].BioScience,1978,28(11):705-710.

Derissen S, Quaas M F, Baumgartner S. The relationship between resilience and sustainability of ecological-economic systems[J].Ecological Economics,2011,70(6):1121-1128.

Stringham T K, Kruege W C, Shaver P L. State and transition modeling: An ecological process approach[J].Journal of Range Management,2003,56(2):106-113.

刘晓平,李鹏,任宗萍,等.榆林地区生态系统弹性力评价分析[J].生态学报,2016,36(22):7479-7491.

高吉喜.可持续发展理论探索[M].北京:中国环境科学出版社,2001.

王文婕,葛大兵,周双,等.平江县生态弹性度定量分析评价研究[J].环境科学与管理,2015,40(3):130-134.

王凡,吴一平,李汇文,等.陕北煤炭基地榆神矿区生态系统弹性力时空演变分析[J].生态学报,2021,41(20):8016-8029.

姚焱中,李诗婷,苏美蓉,等.区县生态系统健康评价方法:以东莞市各镇区为例[J].生态学报,2021,41(15):5998-6011.

卢航,孙桂丽,陆海燕,等.干旱区生态弹性度与土地利用分析[J].新疆农业科学,2020,57(10):1901-1911.

豆明伟,唐莉华,徐翔宇,等.安徽省生态弹性力时空变化及影响因素研究[J].生态科学,2018,37(6):184-190.

Sharma A, Goyal M K. Assessment of ecosystem resilience to hydroclimatic disturbances in India[J].Global Change Biology,2017,24(2):432-441.

Anjos L J S, Mann D T P, Silva L C P. Measuring resilience and assessing vulnerability of terrestrial ecosystems to climate change in South America[J].PLoS One,2018,13(3):e0194654.

苏胜涛,曾源,赵旦,等.中国陆地植被净初级生产力估算模型优化与分析:基于中国生态系统研究网络数据[J].生态学报,2022,42(4):1276-1289.

Anastasios X, Karl-Goran M, de Zeeuw A. The economics of shallow lakes[J].Environmental and Resource Economics,2003,26(4):603-624.

胡文,王济,李春华,等.浅水湖泊模型PCLake及其应用进展[J].生态与农村环境学报,2019,35(6):681-688.

Janssen M A, Anderies J M, Walker B H. Robust strategies for managing rangelands with multiple stable attractors[J].Journal of Environmental Economics and Management,2004,47(1):140-162.

Ponce C, Guillermo E, Moran M, et al. Ecosystem resilience despite large-scale altered hydroclimatic conditions[J].Nature,494(7437):349-352.

闫旭骞.矿区生态承载力定量评价方法研究[J].矿业研究与开发,2006,26(3):82-85.

许开鹏,王晶晶,迟研研,等.基于综合生态风险的云贵高原土地利用优化与持续利用对策[J].生态学报,2016,36(3):821-827.

王静爱.中国地理教程[M].北京:高等教育出版社,2007.

刘翔卿,王雷,刘阳,等.1951—2010年云贵高原大理和丽江气温、降水的气候特征分析[J].气候与环境研究,2018,23(5):513-523.

郑欣,程艳妹,任彩凤,等.鄂尔多斯市生态弹性力评价研究[J].生态科学,2019,38(5):185-192.

McGarigal K, Cushman S A, Neel M C, et al. FRAGSTATS: Spatial pattern analysis program for categorical maps.Computer software program produced by the University of Massachusetts. http://www.umass.edu.html,2002.

刘宇,吕一河,傅伯杰.景观格局—土壤侵蚀研究中景观指数的意义解释及局限性[J].生态学报,2011,31(1):267-275.

田庆久,闵祥军.植被指数研究进展[J].地球科学进展,1998,19(4):10-16.

谢仁波,舒国勇.铜仁西部不同时间尺度温度降水变率分析[J].贵州气象,2012,36(6):16-19.

Wang J F, Zhang T L, Fu B J. A measure of spatial stratified heterogeneity[J].Ecological Indicators,2016,67:250-256.

王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017,72(1):116-134.

郭晓芳,李旭东,程东亚.云贵高原气温与降水空间分布特征及其影响因素[J].水土保持研究,2021,28(1):159-163,170.

沈威,鲁丰先,秦耀辰,等.长江中游城市群城市生态承载力时空格局及其影响因素[J].生态学报,2019,39(11):3937-3951.

杨超,陈万旭,冉端,等.中国县域生态系统弹性力时空演变特征分析[J].水土保持研究,2020,27(4):279-285.

浏览量

1034

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

暂无数据