Abstract
As the source of the Yellow River, Yangtze River, and Lancang River, the Three-River Source Region (TRSR) in China is very important to China’s ecological security. In recent decades, TRSR’s ecosystem has degraded because of climate change and human disturbances. Therefore, a range of ecological projects were initiated by Chinese government around 2000 to curb further degradation. Current research shows that the vegetation of the TRSR has been initially restored over the past two decades, but the respective contribution of ecological projects and climate change in vegetation restoration has not been clarified. Here, we used the Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) to assess the spatial-temporal variations in vegetation and explore the impact of climate and human actions on vegetation in TRSR during 2001–2018. The results showed that about 26.02% of the TRSR had a significant increase in EVI over the 18 yr, with an increasing rate of 0.010/10 yr (P < 0.05), and EVI significantly decreased in only 3.23% of the TRSR. Residual trend analysis indicated vegetation restoration was jointly promoted by climate and human actions, and the promotion of human actions was greater compared with that of climate, with relative contributions of 59.07% and 40.93%, respectively. However, the degradation of vegetation was mainly caused by human actions, with a relative contribution of 71.19%. Partial correlation analysis showed that vegetation was greatly affected by temperature (r = 0.62, P < 0.05) due to the relatively sufficient moisture but lower temperature in TRSR. Furthermore, the establishment of nature reserves and the implementation of the Ecological Protection and Restoration Program (EPRP) improved vegetation, and the first stage EPRP had a better effect on vegetation restoration than the second stage. Our findings identify the driving factors of vegetation change and lay the foundation for subsequent effective management.
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An R, Wang H L, Feng X Z et al., 2017. Monitoring rangeland degradation using a novel local NPP scaling based scheme over the ‘Three-River Headwaters’ region, hinterland of the Qinghai-Tibetan Plateau. Quaternary International, 444: 97–114. doi: https://doi.org/10.1016/j.quaint.2016.07.050
Cai H Y, Yang X H, Xu X L, 2015. Human-induced grassland degradation/restoration in the central Tibetan Plateau: the effects of ecological protection and restoration projects. Ecological Engineering, 83: 112–119. doi: https://doi.org/10.1016/j.ecoleng.2015.06.031
Chen B X, Zhang X Z, Tao J et al., 2014. The impact of climate change and anthropogenic activities on alpine grassland over the Qinghai-Tibet Plateau. Agricultural and ForestMeteorology, 189–190: 11–18. doi: https://doi.org/10.1016/j.agrformet.2014.01.002
Chen C, Park T, Wang X H et al., 2019. China and India lead in greening of the world through land-use management. Nature sustainability, 2(2): 122–129. doi: https://doi.org/10.1038/s41893-019-0220-7
Chu H S, Venevsky S, Wu C et al., 2019. NDVI-based vegetation dynamics and its response to climate changes at Amur-Heilongjiang River Basin from 1982 to 2015. Science of theTotal Environment, 650: 2051–2062. doi: https://doi.org/10.1016/j.scitotenv.2018.09.115
Dagnachew M, Kebede A, Moges A et al., 2020. Effects of climate variability on Normalized Difference Vegetation Index (NDVI) in the Gojeb River Catchment, Omo-Gibe Basin, Ethiopia. Advances in Meteorology, 2020: 826324. doi: https://doi.org/10.1155/2020/8263246
De Beurs K M, Henebry G M, Owsley B C et al., 2015. Using multiple remote sensing perspectives to identify and attribute land surface dynamics in Central Asia 2001–2013. Remote Sensing of Environment, 170: 48–61. doi: https://doi.org/10.1016/j.rse.2015.08.018
Deng C L, Zhang B Q, Cheng L Y et al., 2019. Vegetation dynamics and their effects on surface water-energy balance over the Three-North Region of China. Agricultural and ForestMeteorology, 275: 79–90. doi: https://doi.org/10.1016/j.agrformet.2019.05.012
Didan K, 2015a. MOD13A2 v006 MODIS/Terra Vegetation Indices 16-Day L3 Global 1km SIN Grid. NASA EOSDIS Land Processes DAAC. doi: https://doi.org/10.5067/MODIS/MOD13A2.006
Didan K, 2015b. MOD13A3 v006 MODIS/Terra vegetation Indices Monthly L3 Global 1km SIN Grid. NASA EOSDIS Land Processes DAAC. doi: https://doi.org/10.5067/MODIS/MOD13A3.006
Evans J, Geerken R, 2004. Discrimination between climate and human-induced dryland degradation. Journal of AridEnvironments, 57(4): 535–554. doi: https://doi.org/10.1016/S0140-1963(03)00121-6
Fan J W, Shao Q Q, Liu J Y et al., 2010. Assessment of effects of climate change and grazing activity on grassland yield in the Three Rivers Headwaters Region of Qinghai-Tibet Plateau, China. Environmental Monitoring and Assessment, 170(1): 571–584. doi: https://doi.org/10.1007/s10661-009-1258-1
Fang Y P, 2013. Managing the Three-Rivers Headwater Region, China: from ecological engineering to social engineering. Ambio, 42(5): 566–576. doi: https://doi.org/10.1007/s13280-012-0366-2
Fensholt R, Proud S R, 2012. Evaluation of earth observation based global long term vegetation trends—comparing GIMMS and MODIS global NDVI time series. Remote Sensing of Environment, 119: 131–147. doi: https://doi.org/10.1016/j.rse.2011.12.015
Fu B J, Zhuang X L, Jiang G B et al., 2007. Future: environmental problems and challenges in China. Environmental Science and Technology, 41(22): 7597–7602. doi: https://doi.org/10.1021/es0726431
Gao Y H, Zhou X, Wang Q et al., 2013. Vegetation net primary productivity and its response to climate change during 2001–2008 in the Tibetan Plateau. Science of the Total Environment, 444: 356–362. doi: https://doi.org/10.1016/j.scitotenv.2012.12.014
Gaston K J, Jackson S F, Cantú-Salazar L et al., 2008. The ecological performance of protected areas. Annual Review of Ecology, Evolution, and Systematics, 39: 93–113. doi: https://doi.org/10.1146/annurev.ecolsys.39.110707.173529
Geerken R, Ilaiwi M, 2004. Assessment of rangeland degradation and development of a strategy for rehabilitation. Remote Sensing of Environment, 90(4): 490–504. doi: https://doi.org/10.1016/j.rse.2004.01.015
Geng Y, Baumann F, Song C et al., 2017. Increasing temperature reduces the coupling between available nitrogen and phosphorus in soils of Chinese grasslands. Scientific Reports, 7(1): 1–10. doi: https://doi.org/10.1038/srep43524
Herrmann S M, Anyamba A, Tucker C J, 2005. Recent trends in vegetation dynamics in the African Sahel and their relationship to climate. Global Environmental Change, 15(4): 394–404. doi: https://doi.org/10.1016/j.gloenvcha.2005.08.004
Hu M Q, Mao F, Sun H et al., 2011. Study of normalized difference vegetation index variation and its correlation with climate factors in the Three-River-Source region. International Journal of Applied Earth Observation and Geoinformation, 13(1): 24–33. doi: https://doi.org/10.1016/j.jag.2010.06.003
Huang L, Shao Q Q, Liu J Y, 2019. Assessing the conservation effects of nature reserve networks under climate variability over the northeastern Tibetan plateau. Ecological Indicators, 96: 163–173. doi: https://doi.org/10.1016/j.ecolind.2018.08.034
Huang L, Shao Q Q, Liu J Y et al., 2018. Improving ecological conservation and restoration through payment for ecosystem services in Northeastern Tibetan Plateau, China. Ecosystem Services, 31: 181–193. doi: https://doi.org/10.1016/j.ecoser.2018.04.005
Huete A, Didan K, Miura T et al., 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83(1–2): 195–213. doi: https://doi.org/10.1016/S0034-4257(02)00096-2
Hutchinson M F, Xu T B, 2013. ANUSPLIN Version 4.4 User Guide. Canberra: Centre for Resource and Environmental Studies, Australian National University, Canberra.
Jahelnabi A E, Wu W, Boloorani A D et al., 2020. Assessment the influence of climate and human activities in vegetation degradation using GIS and remote sensing techniques. Contemporary Problems of Ecology, 13(6): 685–693. doi: https://doi.org/10.1134/s1995425520060025
Jiang C, Li D Q, Wang D W et al., 2016. Quantification and assessment of changes in ecosystem service in the Three-River Headwaters Region, China as a result of climate variability and land cover change. Ecological Indicators, 66: 199–211. doi: https://doi.org/10.1016/j.ecolind.2016.01.051
Jiang C, Zhang L B, 2016. Ecosystem change assessment in the Three-river Headwater Region, China: patterns, causes, and implications. Ecological Engineering, 93: 24–36. doi: https://doi.org/10.1016/j.ecoleng.2016.05.011
Jiang H L, Xu X, Guan M X et al., 2020. Determining the contributions of climate change and human activities to vegetation dynamics in agro-pastural transitional zone of northern China from 2000 to 2015. Science of the Total Environment, 718: 134871. doi: https://doi.org/10.1016/j.scitotenv.2019.134871
Jiang L L, Jiapaer G, Bao A M et al., 2017. Vegetation dynamics and responses to climate change and human activities in Central Asia. Science of the Total Environment, 599–600: 967–980. doi: https://doi.org/10.1016/j.scitotenv.2017.05.012
Jin Kai, Wang Fei, Han Jianqiao et al., 2020. Contribution of climatic change and human activities to vegetation NDVI change over China during 1982–2015. Acta Geographica Sinica, 75(5): 961–974. (in Chinese). doi: https://doi.org/10.11821/dlxb202005006
John R, Chen J Q, Kim Y et al., 2016. Differentiating anthropogenic modification and precipitation-driven change on vegetation productivity on the Mongolian Plateau. Landscape Ecology, 31(3): 547–566. doi: https://doi.org/10.1007/s10980-015-0261-x
Kundu A, Patel N R, Saha S K et al., 2017. Desertification in western Rajasthan (India): an assessment using remote sensing derived rain-use efficiency and residual trend methods. Natural Hazards, 86(1): 297–313. doi: https://doi.org/10.1007/s11069-016-2689-y
Law B E, Falge E, Gu L et al., 2002. Environmental controls over carbon dioxide and water vapor exchange of terrestrial vegetation. Agricultural and Forest Meteorology, 113(1–4): 97–120. doi: https://doi.org/10.1016/S0168-1923(02)00104-1
Li Huixia, Liu Guohua, Fu Bojie, 2012. Estimation of regional evapotranspiration in alpine area and its response to land use change: a case study in Three-River Headwaters region of Qinghai-Tibet Plateau, China. Chinese Geographical Science, 22(4): 437–449. doi: https://doi.org/10.1007/s11769-012-0550-0
Liu Jiyuan, Xu Xinliang, Shao Quanqin, 2008. Grassland degradation in the ‘Three-River Headwaters’ region, Qinghai Province. Journal of Geographical Sciences, 18(3): 259–273. doi: https://doi.org/10.1007/s11442-008-0259-2
Liu Linshan, Zhang Yili, Bai Wanqi et al., 2006. Characteristics of grassland degradation and driving forces in the source region of the Yellow River from 1985 to 2000. Journal of Geographical Sciences, 16: 131–142. doi: https://doi.org/10.1007/s11442-006-0201-4
Liu Xianfeng, Zhang Jinshui, Zhu Xiufang et al., 2014. Spatiotemporal changes in vegetation coverage and its driving factors in the Three-River Headwaters Region during 2000–2011. Journal of Geographical Sciences, 24(2): 288–302. doi: https://doi.org/10.1007/s11442-014-1088-0
Lü Y H, Fu B J, Wei W et al., 2011. Major ecosystems in China: dynamics and challenges for sustainable management. Environmental Management, 48(1): 13–27. doi: https://doi.org/10.1007/s00267-011-9684-6
Naeem S, Zhang Y Q, Tian J et al., 2020. Quantifying the impacts of anthropogenic activities and climate variations on vegetation productivity changes in China from 1985 to 2015. Remote Sensing, 12(7): 1113. doi: https://doi.org/10.3390/rs12071113
PGQP (The Peolple’s Government of Qinghai Province), 2013. The planning on ecological protection and construction II in the TRHR Nature Reserve. Available at: https://www.ndrc.gov.cn/fzggw/jgsj/njs/sjdt/201404/W020191101564621097541.pdf. Cited 1 Feb. 2021. (in Chinese)
Qu S, Wang L C, Lin A W et al., 2020. Distinguishing the impacts of climate change and anthropogenic factors on vegetation dynamics in the Yangtze River Basin, China. Ecological Indicators, 108: 105724. doi: https://doi.org/10.1016/j.ecolind.2019.105724
Qu S, Wang L C, Lin A W et al., 2018. What drives the vegetation restoration in Yangtze River basin, China: climate change or anthropogenic factors?. Ecological Indicators, 90: 438–450. doi: https://doi.org/10.1016/j.ecolind.2018.03.029
Setiawan Y, Yoshino K, Prasetyo L B, 2014. Characterizing the dynamics change of vegetation cover on tropical forestlands using 250 m multi-temporal MODIS EVI. International Journal of Applied Earth Observation and Geoinformation, 26: 132–144. doi: https://doi.org/10.1016/j.jag.2013.06.008
Shao Quanqin, Cao Wwei, Fan Jiangwen et al., 2016. Effects of an ecological conservation and restoration project in the Three-River Source Region, China. Journal of GeographicalSciences, 27(2): 183–204. doi: https://doi.org/10.1007/s11442-017-1371-y
Shen X J, An R, Feng L et al., 2018. Vegetation changes in the Three-River Headwaters Region of the Tibetan Plateau of China. Ecological Indicators, 93: 804–812. doi: https://doi.org/10.1016/j.eco-lind.2018.05.065
Shi S Y, Yu J J, Wang F et al., 2021. Quantitative contributions of climate change and human activities to vegetation changes over multiple time scales on the Loess Plateau. Science of the Total Environment, 755: 142419. doi: https://doi.org/10.1016/j.scitotenv.2020.142419
Song Y, Jin L, Wang H B, 2018. Vegetation changes along the Qinghai-Tibet Plateau engineering corridor since 2000 induced by climate change and human activities. Remote Sensing, 10(1): 95. doi: https://doi.org/10.3390/rs10010095
Sun Qingling, Li Baolin, Xu Lili et al., 2016. Analysis of NDVI change trend and its impact factors in the Three-River HeadwaterRegion from 2000 to 2013. Journal of Geo-information Science, 18: 1707–1716. (in Chinese)
Sun Y L, Yang Y L, Zhang L et al., 2015. The relative roles of climate variations and human activities in vegetation change in North China. Physics and Chemistry of the Earth, Parts A/B/C, 87: 67–78. doi: https://doi.org/10.1016/j.pce.2015.09.017
Sykes M T, 2009. Climate Change Impacts: Vegetation. New York: John Wiley & Sons, Ltd. doi: https://doi.org/10.1002/9780470015902.a0021227
Tallis H, Kareiva P, Marvier M et al., 2008. An ecosystem services framework to support both practical conservation and economic development. Proceedings of the National Academyof Sciences of the United States of America, 105(28): 9457–9464. doi: https://doi.org/10.1073/pnas.0705797105
Tong L G, Xu X L, Fu Y et al., 2014. Wetland changes and their responses to climate change in the ‘Three-River Headwaters’ region of China since the 1990s. Energies, 7(4): 2515–2534. doi: https://doi.org/10.3390/en7042515
Wang Rui, Dong Zhibao, Zhou Zhengchao, 2020. Different responses of vegetation to frozen ground degradation in the source region of the Yellow River from 1980 to 2018. Chinese Geographical Science, 30(4): 557–571. doi: https://doi.org/10.1007/s11769-020-1135-y
Wen Z F, Wu S J, Chen J L et al., 2017. NDVI indicated long-term interannual changes in vegetation activities and their responses to climatic and anthropogenic factors in the Three Gorges Reservoir Region, China. Science of the Total Environment, 574: 947–959. doi: https://doi.org/10.1016/j.scitotenv.2016.09.049
Wessels K J, Prince S D, Malherbe J et al., 2007. Can human-induced land degradation be distinguished from the effects of rainfall variability? A case study in South Africa. Journal of Arid Environments, 68(2): 271–297. doi: https://doi.org/10.1016/j.jaridenv.2006.05.015
Xu Duanyang, Kang Xiangwu, Liu Zhili et al., 2009. Assessing the relative role of climate change and human activities in sandy desertification of Ordos region, China. Science in China Series D: Earth Sciences, 52(6): 855–868. doi: https://doi.org/10.1007/s11430-009-0079-y
Xu H J, Wang X P, Yang T B, 2017. Trend shifts in satellite-derived vegetation growth in Central Eurasia, 1982–2013. Science of the Total Environment, 579: 1658–1674. doi: https://doi.org/10.1016/j.scitotenv.2016.11.182
Xu Jianhua, 2002. Mathematical Methods in Contemporary Geography. Beijing: Higher Education Press, 2002. (in Chinese)
Xu M, Kang S C, Chen X L et al., 2018. Detection of hydrological variations and their impacts on vegetation from multiple satellite observations in the Three-River Source Region of the Tibetan Plateau. Science of the Total Environment, 639: 1220–1232. doi: https://doi.org/10.1016/j.scitotenv.2018.05.226
Xu W X, Gu S, Zhao X Q et al., 2011. High positive correlation between soil temperature and NDVI from 1982 to 2006 in alpine meadow of the Three-River Source Region on the Qinghai-Tibetan Plateau. International Journal of Applied EarthObservation and Geoinformation, 13(4): 528–535. doi: https://doi.org/10.1016/j.jag.2011.02.001
Xue X, Guo J, Han B S et al., 2009. The effect of climate warming and permafrost thaw on desertification in the Qinghai-Tibetan Plateau. Geomorphology, 108(3–4): 182–190. doi: https://doi.org/10.1016/j.geomorph.2009.01.004
Yang J P, Ding Y J, Chen R S, 2006. Spatial and temporal of variations of alpine vegetation cover in the source regions of the Yangtze and Yellow Rivers of the Tibetan Plateau from 1982 to 2001. Environmental Geology, 50(3): 313–322. doi: https://doi.org/10.1007/s00254-006-0210-8
Yang L, Shen F X, Zhang L et al., 2021. Quantifying influences of natural and anthropogenic factors on vegetation changes using structural equation modeling: A case study in Jiangsu Province, China. Journal of Cleaner Production, 280: 124330. doi: https://doi.org/10.1016/j.jclepro.2020.124330
Zhang L X, Fan J W, Zhou D C et al., 2017a. Ecological protection and restoration program reduced grazing pressure in the Three-River Headwaters region, China. Rangeland Ecology&Management, 70(5): 540–548. doi: https://doi.org/10.1016/j.rama.2017.05.001
Zhang W, Wang L C, Xiang F F et al., 2020. Vegetation dynamics and the relations with climate change at multiple time scales in the Yangtze River and Yellow River Basin, China. Ecological Indicators, 110: 105892. doi: https://doi.org/10.1016/j.ecolind.2019.105892
Zhang Y, Zhang C B, Wang Z Q et al., 2019. Comprehensive research on remote sensing monitoring of grassland degradation: a case study in the Three-River Source Region, China. Sustainability, 11(7): 1845. doi: https://doi.org/10.3390/su11071845
Zhang Y, Zhang C B, Wang Z Q et al., 2016. Vegetation dynamics and its driving forces from climate change and human activities in the Three-River Source Region, China from 1982 to 2012. Science of the Total Environment, 563: 210–220. doi: https://doi.org/10.1016/j.scitotenv.2016.03.223
Zhang Y H, Ye A Z, 2021. Quantitatively distinguishing the impact of climate change and human activities on vegetation in mainland China with the improved residual method. GIScience&Remote Sensing, 58(2): 235–260. doi: https://doi.org/10.1080/15481603.2021.1872244
Zhang Y L, Song C H, Band L E et al., 2017b. Reanalysis of global terrestrial vegetation trends from MODIS products: Browning or greening? Remote Sensing of Environment, 191: 145–155. doi: https://doi.org/10.1016/j.rse.2016.12.018
Zhou H, Li D Q, Zhang Y G et al., 2007. Genetic diversity of microsatellite DNA loci of Tibetan antelope (Chiru, Pantholops hodgsonii) in Hoh Xil National Nature Reserve, Qinghai, China. Journal of Genetics and Genomics, 34(7): 600–607. doi: https://doi.org/10.1016/s1673-8527(07)60068-x
Zhou L M, Tian Y H, Myneni R B et al., 2014. Widespread decline of Congo rainforest greenness in the past decade. Nature, 509(7498): 86–90. doi: https://doi.org/10.1038/nature13265
Zhou X, Yamaguchi Y, Arjasakusuma S, 2018. Distinguishing the vegetation dynamics induced by anthropogenic factors using vegetation optical depth and AVHRR NDVI: a cross-border study on the Mongolian Plateau. Science of the Total Environment, 616–617: 730–743. doi: https://doi.org/10.1016/j.scitotenv.2017.10.253
Zhu J F, Zhou Y, Wang S X et al., 2015. Multicriteria decision analysis for monitoring ecosystem service function of the Three-River Headwaters region of the Qinghai-Tibet Plateau, China. Environmental Monitoring and Assessment, 187(6): 355. doi: https://doi.org/10.1007/s10661-015-4523-5
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We would like to thank the NASA EOSDIS Land Processes DAAC and China Meteorological Data Service Center for providing datasets. We sincerely appreciate editors and anonymous reviewers for their constructive comments and suggestions.
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Under the auspices of the Second Tibetan Plateau Scientific Expedition and Research (STEP) Program (No. 2019QZKK0106), the Key Technologies Research on Development and Service of Yellow River Simulator for Super-Computing Platform (No. 201400210900), the ‘Beautiful China’ Ecological Civilization Construction Science and Technology Project (No. XDA23100203)
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He, X., Yu, Y., Cui, Z. et al. Climate Change and Ecological Projects Jointly Promote Vegetation Restoration in Three-River Source Region of China. Chin. Geogr. Sci. 31, 1108–1122 (2021). https://doi.org/10.1007/s11769-021-1245-1
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DOI: https://doi.org/10.1007/s11769-021-1245-1