气候变化及人类活动对黄河流域植被覆盖变化的影响

刘海; 刘凤; 郑粮

doi:10.13870/j.cnki.stbcxb.2021.04.020

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气候变化及人类活动对黄河流域植被覆盖变化的影响

更新时间：2025-03-12

- 气候变化及人类活动对黄河流域植被覆盖变化的影响
- Effects of Climate Change and Human Activities on Vegetation Cover Change in the Yellow River Basin
- 水土保持学报 2021年35卷第4期页码：143-151
- 作者机构：
  
  1. 湖北大学资源环境学院,武汉,430062
  2. 武汉大学测绘遥感信息工程国家重点实验室,武汉,430079
- 作者简介：
  
  [ "刘海(1982-),男,湖北郧阳人,教授,博士,主要从事景观生态研究。E-mail:liuhai11191@163.com" ]
- 基金信息：
  
  国家自然科学基金项目（41971402）国家重点研发计划项目（2018YFC1506500）
- DOI：10.13870/j.cnki.stbcxb.2021.04.020
  中图分类号： Q948
- 纸质出版：2021
- 稿件说明：
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刘海, 刘凤, 郑粮. 气候变化及人类活动对黄河流域植被覆盖变化的影响[J]. 水土保持学报, 2021,35(4):143-151.

LIU Hai, LIU Feng, ZHENG Liang. Effects of Climate Change and Human Activities on Vegetation Cover Change in the Yellow River Basin[J]. 2021, 35(4): 143-151.
刘海, 刘凤, 郑粮. 气候变化及人类活动对黄河流域植被覆盖变化的影响[J]. 水土保持学报, 2021,35(4):143-151. DOI： 10.13870/j.cnki.stbcxb.2021.04.020.

LIU Hai, LIU Feng, ZHENG Liang. Effects of Climate Change and Human Activities on Vegetation Cover Change in the Yellow River Basin[J]. 2021, 35(4): 143-151. DOI： 10.13870/j.cnki.stbcxb.2021.04.020.

摘要

黄河流域在我国具有重要的战略地位，是我国重要的生态屏障，定量化评估气候变化和人类活动对黄河流域植被变化影响，对政府管理决策具有重要意义。以黄河流域为研究区，分析1982—2019年归一化植被指数（normalized difference vegetation index，NDVI）时空动态变化，定量计算气候变化及人类活动对NDVI变化的贡献度，并对NDVI变化影响因素进行分区制图；在此基础上，讨论生态建设工程对植被变化的影响情况，并评估其成效。结果表明：（1）1982—2019年间黄河流域NDVI呈现显著增加趋势，变化趋势为0.002 4/a；空间上，显著退化的区域分布在流域西部和南部，显著增加的区域分布在流域中部和北部。（2）黄河流域植被变化是气候因素和人类活动共同作用的结果，研究时段内气候因素对NDVI变化的贡献度为82.74%，人类活动贡献度为17.62%，气候因素是黄河流域植被变化的主导因素，但人类活动在植被变化中的影响程度逐渐加深。（3）3个生态建设工程区植被恢复情况为三北防护林>黄河中游防护林>太行山绿化，生态建设工程对植被恢复有明显的促进作用。

Abstract

The Yellow River Basin has an important strategic position and is an important ecological barrier in China. Quantitative assessment of the impact of climate change and human activities on vegetation change in the Yellow River Basin is of great significance to government management and decision-making. Taking the Yellow River Basin as the research area

the temporal and spatial dynamic changes of normalized difference vegetation index (NDVI) from 1982 to 2019 were analyzed

the contributions of climate change and human activities on NDVI were quantitatively calculated

and the influencing factors of NDVI were mapped. On this basis

the impact of ecological construction project on vegetation change was discussed

and its effectiveness was evaluated. The results showed that: (1) From 1982 to 2019

the NDVI of the Yellow River Basin showed a significant increasing trend

with a change trend of 0.002 4/a. The regions with significant degradation in NDVI were distributed in the west and south of the basin

and the regions with significant increase in NDVI were distributed in the middle and north of the basin. (2) Vegetation change in the Yellow River Basin was the result of the joint action of climate factors and human activities. The contribution of climate factors to NDVI change was 82.74%

and the contribution of human activities was 17.62%. Climate factors were the dominant factors of vegetation change in the Yellow River Basin

but the influence of human activities in vegetation change was gradually increasing. (3) The vegetation restoration of the three ecological construction projects followed the order of the Three-North Shelter Forest Program>Shelter Forest Belt Project in Middle Reach of the Huanghe River>Afforestation of Taihang Mountain

and the ecological construction project played a significant role in promoting vegetation restoration.

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references

Piao S L, Fang J J Y, Zhou L M, et al. Variations in satellite-derived phenology in China's temperate vegetation[J].Global Change Biology,2006,12(4):672-685.

Liu T, Yang X J. Mapping vegetation in an urban area with stratified classification and multiple endmember spectral mixture analysis[J].Remote Sensing of Environment,2013,44(133):251-264.

王志杰.延河流域植被与侵蚀产沙特征研究[D].陕西杨凌:中国科学院研究生院(教育部水土保持与生态环境研究中心),2014.

Hansen M C, Potapov P V, Moore R, et al. High-resolution global maps of 21st-century forest cover change[J].Science,2013,342(6160):850-853.

Pinzon J, Tucker C. Non-Stationary 1981-2012 AVHRR NDVI3g time series[J].Remote Sensing,2014,6(8):6929-6960.

Rouse J W, Haas R H, Deering D W, et al. Monitoring the vernal advancement and retrogradation (green wave effect) of natural vegetation[R].Texas:Remote Sensing Center, Texas A&M University,1973:75-76.

Lucht W, Prentice I C, Myneni R B, et al. Climatic control of the high-latitude vegetation greening trend and Pinatubo effect[J].Science,2002,296(5573):1687-1689.

Gottfried M, Pauli H, Futschik A, et al. Continent-wide response of mountain vegetation to climate change[J].Nature Climate Change,2012,2:111-115.

Park H, Jeong S J, Ho C H, et al. Nonlinear response of vegetation green-up to local temperature variations in temperate and boreal forests in the Northern Hemisphere[J].Remote Sensing of Environment,2015,46(165):100-108.

Fang J Y, Yu G R, Liu L L, et al. Climate change, human impacts, and carbon sequestration in China[J].Proceedings of the National Academy of Sciences,2018,115(16):4015-4020.

Wang C, Gao Q, Wang X, et al. Spatially differentiated trends in urbanization, agricultural land abandonment and reclamation, and woodland recovery in northern China[J/OL].Scientific Reports,2016,6(1). https://doi.org/10.1038/srep37658.

唐见,曹慧群,陈进.生态保护工程和气候变化对长江源区植被变化的影响量化[J].地理学报,2019,74(1):76-86.

Jiang M C, Tian S F, Zheng Z J, et al. Human activity influences on vegetation cover changes in Beijing, China, from 2000 to 2015[J/OL].Remote Sensing,2017,9(3). https://doi.org/10.3390/rs9030271.

Jin K, Wang F, Li P F. Responses of vegetation cover to environmental change in large cities of China[J/OL].Sustainability,2018,10(1). https://doi.org/10.3390/su10010270.

Piao S L, Yin G D, Tan J G, et al. Detection and attribution of vegetation greening trend in China over the last 30 years[J].Global Change Biology,2015,21(4):1601-1609.

Pan Y, Birdsey R A, Fang J, et al. A large and persistent carbon sink in the world's forests[J].Science,2011,132(333):988-993.

Li Y, Piao S L, Li L Z X, et al. Divergent hydrological response to large-scale afforestation and vegetation greening in China[J/OL].Science Advances,2018,4(5). DOI:10.1126/sciadv.aar4182.

Piao S L, Wang X H, Park T, et al. Characteristics, drivers and feedbacks of global greening[J].Nature Reviews Earth and Environment,2020,1:14-27.

Cao S X. Why large-scale afforestation efforts in China have failed to solve the desertification problem[J].Environmental Science and Technology,2008,42(6):1826-1831.

Yan E P, Wang G X, Lin H, et al. Phenology-based classification of vegetation cover types in Northeast China using MODIS NDVI and EVI time series[J].International Journal of Remote Sensing,2015,36(2):489-512.

孙睿,刘昌明,朱启疆.黄河流域植被覆盖度动态变化与降水的关系[J].地理学报,2001,56(6):667-672.

Kaufman Y J, Tanre D. Atmospherically resistant vegetation index (ARVI) for EOS-MODIS[J].Transactions on Geoscience and Remote Sensing,1992,30(2):261-270.

Gurung R B, Breidt F J, Dutin A, et al. Predicting Enhanced Vegetation Index (EVI) curves for ecosystem modeling applications[J].Remote Sensing of Environment,2009,113(10):2186-2193.

陆大道,孙东琪.黄河流域的综合治理与可持续发展[J].地理学报,2019,74(12):2431-2436.

孙红雨,王长耀,牛铮,等.中国地表植被覆盖变化及其与气候因子关系:基于NOAA时间序列数据分析[J].遥感学报,1998,2(3):204-210.

袁丽华,蒋卫国,申文明,等.2000-2010年黄河流域植被覆盖的时空变化[J].生态学报,2013,33(24):7798-7806.

贺振,贺俊平.近32年黄河流域植被覆盖时空演化遥感监测[J].农业机械学报,2017,48(2):179-185.

Shi S Y, Yu J J, Wang F, et al. Quantitative contributions of climate change and human activities to vegetation changes over multiple time scales on the Loess Plateau[J/OL].Science of the Total Environment,2020,755. https://doi.org/10.1016/j.scitotenv.2020.142419.

Hu Y G, Li H, Wu D, et al. LAI-indicated vegetation dynamic in ecologically fragile region:A case study in the Three-North Shelter Forest program region of China[J/OL].Ecological Indicators,2021,120. https://doi.org/10.1016/j.ecolind.2020.106932.

杜加强,赵晨曦,贾尔恒·阿哈提,等.近30 a新疆月NDVI动态变化及其驱动因子分析[J].农业工程学报,2016,32(5):172-181.

田海静.非气候因素引起的中国植被变化遥感诊断[D].北京:中国科学院大学(中国科学院遥感与数字地球研究所),2017.

Zhu Z C, Bi J, Pan Y Z, et al. Global data sets of vegetation Leaf Area Index (LAI)3g and Fraction of Photo synthetically Active Radiation (FPAR)3g derived from Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) for the period 1981 to 2011[J].Remote Sensing,2013,5(2):927-948.

杨胜天,刘昌明,孙睿.近20年来黄河流域植被覆盖变化分析[J].地理学报,2002,57(6):679-684.

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.

张颖,章超斌,王钊齐,等.三江源1982-2012年草地植被覆盖度动态及其对气候变化的响应[J].草业科学,2017,34(10):1977-1990.

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