Spatio-temporal Changes and Influencing Factors of Vegetation Coverage in Yulin City During the Past 20 Years Since the Implementation of the “Grain for Green” Program

LIU Yibin; LIU Baoyuan; CHENG Cheng; ZHANG Jiaqiong; LU Shaojuan

doi:10.13870/j.cnki.stbcxb.2022.02.026

您当前的位置：

首页 >

文章列表页 >

Spatio-temporal Changes and Influencing Factors of Vegetation Coverage in Yulin City During the Past 20 Years Since the Implementation of the “Grain for Green” Program

更新时间：2024-11-07

- Spatio-temporal Changes and Influencing Factors of Vegetation Coverage in Yulin City During the Past 20 Years Since the Implementation of the “Grain for Green” Program
- Vol. 36, Issue 2, Pages: 197-208(2022)
- 作者机构：
  
  1. 中国科学院水利部水土保持研究所, 黄土高原土壤侵蚀与旱地农业国家重点室, 陕西杨凌,712100
  2. 中国科学院大学,北京,100049
  3. 西北农林科技大学水土保持研究所, 黄土高原土壤侵蚀与旱地农业国家重点室, 陕西杨凌,712100
  4. 西北农林科技大学, 陕西杨凌,712100
  5. 云南大学国际河流与生态安全研究院,昆明,650091
- 作者简介：
- 基金信息：
- DOI：10.13870/j.cnki.stbcxb.2022.02.026
  CLC： Q948
- Published：2022
- 稿件说明：
移动端阅览
LIU Yibin, LIU Baoyuan, CHENG Cheng, et al. Spatio-temporal Changes and Influencing Factors of Vegetation Coverage in Yulin City During the Past 20 Years Since the Implementation of the “Grain for Green” Program[J]. 2022, 36(2): 197-208.
DOI：

LIU Yibin, LIU Baoyuan, CHENG Cheng, et al. Spatio-temporal Changes and Influencing Factors of Vegetation Coverage in Yulin City During the Past 20 Years Since the Implementation of the “Grain for Green” Program[J]. 2022, 36(2): 197-208. DOI： 10.13870/j.cnki.stbcxb.2022.02.026.

摘要

为了解退耕还林草工程实施20年来黄土高原生态脆弱区生态环境的变化及其主要驱动力

选取榆林市作为黄土高原生态环境脆弱区的代表

基于像元二分模型估算榆林市2001-2020年的植被覆盖度

利用一元线性回归法分析其20年来植被覆盖度的时空变化特征

并结合偏相关分析和地理探测器法筛选退耕还林草不同时期影响榆林市植被覆盖度年际变化和空间分异的主导因素。结果表明:(1)2001-2020年榆林市植被覆盖度随时间序列呈显著增加趋势(S=0.011

p<0.01)。建设期(2001-2010年)榆林市整体植被覆盖度显著增加(S=0.013

p<0.01)

而巩固期(2011-2020年)增加趋势不显著(S=0.005

p>0.05)。(2)2001-2020年榆林市植被覆盖度空间分布呈由东向西递减的格局

榆林市各县(区)植被覆盖度总体呈现增长趋势

其中榆林市东部地区增长趋势较为显著。建设期榆林市植被覆盖度呈增加趋势的面积占比(82.1%)多于巩固期(58.0%)。(3)2001-2020年影响植被覆盖度年际变化的主导因素为累积退耕还林草面积和降雨量

累积退耕还林草面积和降雨量分别是建设期和巩固期的首要影响因素。(4)2001-2020年影响榆林市植被覆盖度空间分异的主导因素为土壤质地、降雨量和土地利用方式。在建设期和巩固期土壤质地的空间差异都与植被覆盖度空间分异密切相关。植被分布的空间异质性和主要影响因素之间的交互作用可为生态恢复措施的精准实施提供科学依据。

Abstract

To understand changes in the ecological environment and its main driving forces in the ecologically fragile areas of the Loess Plateau in the past 20 years since the implementation of the "Grain for Green" Program

taking Yulin City as a typical example of the fragile ecological environment on the Loess Plateau

The vegetation coverage of Yulin City from 2001 to 2020 was estimated based on the pixel dichotomy model. This study analyzed the spatial and temporal variations of the vegetation coverage in Yulin City during the past 20 years by using univariate linear regression methods. The dominant factors affecting the interannual changes and spatial distribution of vegetation coverage were analyzed by using the partial correlation analysis and geographic detector methods during the different periods of "Grain for Green" Program. The results showed that:(1) The vegetation coverage in Yulin City significantly increased with time series (S=0.011

p<0.01) from 2001 to 2020. The vegetation coverage during the construction period (2001-2010) increased significantly (S=0.013

p<0.01)

while its increasing trend in the consolidation period (2011-2020) was not significant (S=0.005

p>0.05). (2) The spatial distribution of vegetation coverage in Yulin City decreased from east to west from 2001 to 2020. The vegetation coverage of all counties (districts) in Yulin City showed an overall increasing trend

among which the eastern part of Yulin City had a more significant growth trend. However

the proportion of area with increasing vegetation coverage in Yulin City in the construction period (82.1%) was larger than that in the consolidation period (58.0%). (3) From 2001 to 2020

the dominant factors affecting inter annual change of vegetation coverage were the cumulative area of the Grain for Green Program and rainfall. The cumulative area of the Grain for Green Program was the primary factor in the construction periods

while rainfall was the primary factor in the consolidation period. (4) Soil texture

rainfall and land use type mainly affected the spatial distribution of vegetation coverage from 2001 to 2020. During construction and consolidation periods

the spatial differences of soil texture were closely related to spatial stratified heterogeneity in the vegetation coverage. The spatial heterogeneity of vegetation distribution and the interaction between the main influencing factors could provide a scientific basis for the precise implementation of ecological restoration measures.

关键词

Keywords

references

Gitelson A A, Kaufman Y J, Stark R, et al. Novel algorithms for remote estimation of vegetation fraction[J].Remote Sensing of Environment,2002,80(1):76-87.

张清春,刘宝元,翟刚.植被与水土流失研究综述[J].水土保持研究,2002,9(4):96-101.

贾坤,姚云军,魏香琴,等.植被覆盖度遥感估算研究进展[J].地球科学进展,2013,28(7):774-782.

吴昌广,周志翔,肖文发,等.基于MODIS NDVI的三峡库区植被覆盖度动态监测[J].林业科学,2012,48(1):22-28.

张东海,任志远,王晓峰,等.基于MODIS的陕西黄土高原植被覆盖度变化特征及其驱动分析[J].生态与农村环境学报,2013,29(1):29-35.

张兴昌,刘国彬,付会芳.不同植被覆盖度对流域氮素径流流失的影响[J].环境科学,2000,21(6):16-19.

张含玉,方怒放,史志华.黄土高原植被覆盖时空变化及其对气候因子的响应[J].生态学报,2016,36(13):3960-3968.

王升,王全九,董文财,等.黄土坡面不同植被覆盖度下产流产沙与养分流失规律[J].水土保持学报,2012,26(4):23-27.

秦伟,朱清科,张学霞,等.植被覆盖度及其测算方法研究进展[J].西北农林科技大学学报(自然科学版),2006,34(9):163-170.

李苗苗,吴炳方,颜长珍,等.密云水库上游植被覆盖度的遥感估算[J].资源科学,2004,26(4):153-159.

程红芳,章文波,陈锋.植被覆盖度遥感估算方法研究进展[J].国土资源遥感,2008,20(1):13-18.

陈晓光,李剑萍,韩颖娟,等.宁夏近20年来植被覆盖度及其与气温降水的关系[J].生态学杂志,2007,26(9):1375-1383.

王晓峰,任志远.基于RS和GIS的榆林市植被覆盖度动态变化研究[J].陕西师范大学学报(自然科学版),2008,36(3):101-104.

杨波,王全九,许晓婷,等.还林还草工程后榆林市NDVI时空变化趋势[J].生态学杂志,2019,38(6):1839-1848.

赵安周,张安兵,刘海新,等.退耕还林草工程实施前后黄土高原植被覆盖时空变化分析[J].自然资源学报,2017,32(3):449-460.

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.

陈业滨,李卫红,黄玉兴,等.广州市登革热时空传播特征及影响因素[J].热带地理,2016,36(5):767-775.

丁悦,蔡建明,任周鹏,等.基于地理探测器的国家级经济技术开发区经济增长率空间分异及影响因素[J].地理科学进展,2014,33(5):657-666.

周亮,周成虎,杨帆,等.2000-2011年中国PM

2.5

时空演化特征及驱动因素解析[J].地理学报,2017,72(11):2079-2092.

于佳,刘吉平.基于地理探测器的东北地区气温变化影响因素定量分析[J].湖北农业科学,2015,54(19):4682-4687.

王欢,高江波,侯文娟.基于地理探测器的喀斯特不同地貌形态类型区土壤侵蚀定量归因[J].地理学报,2018,73(9):1674-1686.

刘大元,张雪梅,岳跃民,等.基于Geodetector的广西喀斯特植被覆盖变化及其影响因素分析[J].农业现代化研究,2019,40(6):1038-1047.

祝聪,彭文甫,张丽芳,等.2006-2016年岷江上游植被覆盖度时空变化及驱动力[J].生态学报,2019,39(5):1583-1594.

刘国彬,上官周平,姚文艺,等.黄土高原生态工程的生态成效[J].中国科学院院刊,2017,32(1):11-19.

Fu B J, Wang S, Liu Y, et al. Hydrogeomorphic ecosystem responses to natural and anthropogenic changes in the Loess Plateau of China[J].Annual Review of Earth and Planetary Sciences,2017,45:223-243.

李登科,王钊.退耕还林后陕西省植被覆盖度变化及其对气候的响应[J].生态学杂志,2020,39(1):1-10.

马锋,卓静,何慧娟,等.陕西省榆林市植被生态演变及其驱动机制[J].水土保持通报,2020,40(5):257-261.

刘玉安,黄波,程涛,等.基于像元二分模型的淮河上游植被覆盖度遥感研究[J].水土保持通报,2012,32(1):93-97.

Holben B N. Characteristics of maximum-value composite images from temporal AVHRR data[J].International Journal of Remote Sensing,1986,7(11):1414-1434.

黄瑾,杨武年,张敏,等.普格县植被覆盖度遥感动态监测分析[J].地理空间信息,2009,7(2):51-53.

Gu Z, Duan X W, Shi Y D, et al. Spatiotemporal variation in vegetation coverage and its response to climatic factors in the Red River Basin, China[J].Ecological Indicators,2018,93:54-64.

裴志林,杨勤科,王春梅,等.黄河上游植被覆盖度空间分布特征及其影响因素[J].干旱区研究,2019,36(3):546-555.

Nie T, Dong G T, Jiang X H, et al. Spatio-temporal changes and driving forces of vegetation coverage on the Loess Plateau of Northern Shaanxi[J].Remote Sensing,2021,13(4):613-630.

Liu Y S, Li J T. Geographic detection and optimizing decision of the differentiation mechanism of rural poverty in China[J].Acta Geographica Sinica,2017,72(1):161-173.

李世东,翟洪波.世界林业生态工程对比研究[J].生态学报,2002,22(11):1976-1982.

Tucker C J, Slayback D A, Pinzon J E, et al. Higher northern latitude normalized difference vegetation index and growing season trends from 1982 to 1999[J].International Journal Of Biometeorology,2001,45(4):184-190.

郭力宇,郭昭,王涛,等.陕北黄土高原植被动态变化及其对气候因子的响应[J].西安科技大学学报,2019,39(2):317-326.

李世东.中国退耕还林发展阶段研究[J].世界林业研究,2003(1):36-41.

Sun W Y, Mu X M, Song X Y, et al. Changes in extreme temperature and precipitation events in the Loess Plateau (China) during 1960-2013 under global warming[J].Atmospheric Research,2016,168:33-48.

刘梦云,常庆瑞,安韶山,等.土地利用方式对土壤团聚体及微团聚体的影响[J].中国农学通报,2005,21(11):247-250.

张琨,吕一河,傅伯杰.黄土高原典型区植被恢复及其对生态系统服务的影响[J].生态与农村环境学报,2017,33(1):23-31.

Feng X M, Fu B J, Piao S L, et al. Revegetation in China's Loess Plateau is approaching sustainable water resource limits[J].Nature Climate Change,2016,6(11):1019-1022.

Views

1062

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Spatiotemporal Evolution of Vegetation and Spatial Heterogeneity of Influencing Factors in Chaohu Lake Basin from 2000 to 2023

Analysis of Temporal and Spatial Changes of Soil Moisture and Its Driving Forces on the Northern Slope of the Tianshan Mountains

Spatial and Temporal Changes and Dynamic Driving Forces of Soil Water Erosion in Arid and Semi-arid Regions of China from 1990 to 2020

Study on the Spatial Variation of Soil Organic Carbon and Its Control Factors in a Typical Karst County

Spatial-temporal Variation and Attribution Analysis of Soil Erosion in Dongting Lake Basin in Recent 40 Years Based on CSLE-TLSD Coupling Model

Related Author

HAN Yuexia

QU Jianshen

XU Zhili

DONG Bin

WANG Hao

LI Chaofan

LI Hongru

ZHAO Wenwu

Related Institution

School of Economics and Management， Anhui Agricultural University

School of Forestry and Landscape Architecture， Anhui Agricultural University

College of Resources and Environment， Anhui Agricultural University

School of Geographical Sciences， Nanjing University of Information Science ＆ Technology

Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University

⁰