Chinese Journal of Plant Ecology >
Quantitative analysis of climate change and human activities on vegetation gross primary productivity in Nei Mongol, China
Received date: 2023-05-14
Accepted date: 2023-08-03
Online published: 2023-08-03
Supported by
Natural Science Foundation of Nei Mongol(2022MS04006)
Aims Nei Mongol is an important ecological security barrier in northern China, and the study of changes in its vegetation productivity is of great significance to the ecological security of the northern region.
Methods Based on multi-source remote sensing data such as Eddy Covariance-Light Use Efficiency Gross Primary Productivity (EC-LUE GPP) in Nei Mongol from 1982 to 2017, this paper uses trend analysis and correlation analysis to analyze the temporal and spatial variation characteristics of vegetation gross primary production (GPP) in Nei Mongol and its correlation with air temperature, precipitation and soil moisture. On this basis, multiple linear regression and residual analysis methods were used to decompose and quantify GPP under the influence of climate changes and human activities, divide different time periods to carry out its impact on vegetation GPP, and explore the impact of different vegetation types on the driving factors response.
Important findings (1) Three meteorological elements showed good correlation with vegetation GPP, among which precipitation and soil moisture had higher correlations with GPP. (2) During the period 1982-1990, vegetation GPP showed an insignificant increasing trend with large fluctuations and the remaining three time periods (1991-2000, 2001-2010, 2011-2017) showed an insignificant downward trend. The areas with an overall downward trend accounted for 55% of the total area, and the other 45% showed a significant upward trend. (3) Except for the period from 2001 to 2010, climate changes played a decisive role in vegetation restoration in the other three time periods (1982-1990, 1991-2000, 2011-2017), explaining 20%, 16% and 13% of vegetation restoration, respectively. Human activities dominated vegetation degradation areas, explaining 13%, 19% and 20% of vegetation degradation, respectively. The research results can provide scientific reference for the implementation of ecological environmental protection and management policies and green and sustainable development in Nei Mongol.
YANG Yu-Meng , LAI Quan , LIU Xin-Yi . Quantitative analysis of climate change and human activities on vegetation gross primary productivity in Nei Mongol, China[J]. Chinese Journal of Plant Ecology, 2024 , 48(3) : 306 -316 . DOI: 10.17521/cjpe.2023.0134
| [1] | Alves TLB, de Azevedo PV, dos Santos CAC (2017). Influence of climate variability on land degradation (desertification) in the watershed of the upper Paraíba River. Theoretical and Applied Climatology, 27, 741-751. |
| [2] | Cai HY, Yang XH, Xu XL (2015). Human-induced grassland degradation/restoration in the central Tibetan Plateau: the effects of ecological protection and restoration projects. Ecological Engineering, 83, 112-119. |
| [3] | Chen Y, Mu S, Sun Z, Gang C, Li J, Padarian J, Groisman P, Chen J, Li S (2016). Grassland carbon sequestration ability in China: a new perspective from terrestrial aridity zones. Rangeland Ecology & Management, 69, 84-94. |
| [4] | Dang XH, Gao SW, Tao R, Liu GB, Xia ZD, Fan LX, Bi W (2020). Do environmental conservation programs contribute to sustainable livelihoods? Evidence from China’s grain- for-green program in northern Shaanxi Province. Science of the Total Environment, 719, 137436. DOI: 10.1016/j.scitotenv.2020.137436. |
| [5] | Evans J, Geerken R (2004). Discrimination between climate and human-induced dryland degradation. Journal of Arid Environments, 57, 535-554. |
| [6] | Fang JY, Piao SL, He JS, Ma WH (2004). Increasing terrestrial vegetation activity in China, 1982-1999. Science in China Series C: Life Sciences, 47, 229-240. |
| [7] | Gao WD, Zheng C, Liu XH, Lu YD, Chen YF, Wei Y, Ma YD (2022). NDVI-based vegetation dynamics and their responses to climate change and human activities from 1982 to 2020: a case study in the Mu Us Sandy Land, China. Ecological Indicators, 137, 108745. DOI: 10.1016/j.ecolind.2022.108745. |
| [8] | Ge WY, Han JQ, Zhang D, Wang F (2021). Divergent impacts of droughts on vegetation phenology and productivity in the Yungui Plateau, southwest China. Ecological Indicators, 127, 107743. DOI: 10.1016/j.ecolind.2021.107743. |
| [9] | Guo E, Wang Y, Wang C, Sun Z, Bao Y, Mandula N, Jirigala B, Bao Y, Li H (2021). NDVI indicates long-term dynamics of vegetation and its driving forces from climatic and anthropogenic factors in Mongolian Plateau. Remote Sensing, 13, 688. DOI: 10.3390/rs13040688. |
| [10] | He CY, Tian J, Gao B, Zhao YY (2015). Differentiating climate- and human-induced drivers of grassland degradation in the Liao River Basin, China. Environmental Monitoring and Assessment, 187, 4199. DOI: 10.1007/s10661-014-4199-2. |
| [11] | Horion S, Cornet Y, Erpicum M, Tychon B (2013). Studying interactions between climate variability and vegetation dynamic using a phenology based approach. International Journal of Applied Earth Observation and Geoinformation, 20, 20-32. |
| [12] | Hu YG, Li H, Wu D, Chen W, Zhao X, Hou ML, Li AJ, Zhu YJ (2021). LAI-indicated vegetation dynamic in ecologically fragile region: a case study in the Three-North Shelter Forest program region of China. Ecological Indicators, 120, 106932. DOI: 10.1016/j.ecolind.2020.106932. |
| [13] | Jiang HL, Xu X, Guan MX, Wang LF, Huang YM, Jiang Y (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: 10.1016/j.scitotenv.2019.134871. |
| [14] | Li YR, Cao Z, Long HL, Liu YS, Li WJ (2017). Dynamic analysis of ecological environment combined with land cover and NDVI changes and implications for sustainable urban-rural development: the case of Mu Us Sandy Land, China. Journal of Cleaner Production, 142, 697-715. |
| [15] | Lin M, Hou LZ, Qi ZM, Wan L (2022). Impacts of climate change and human activities on vegetation NDVI in China’s Mu Us Sandy Land during 2000-2019. Ecological Indicators, 142, 109164. DOI: 10.1016/j.ecolind.2022.109164. |
| [16] | Liu SS, Du W, Su H, Wang SQ, Guan QF (2018). Quantifying impacts of land-use/cover change on urban vegetation gross primary production: a case study of Wuhan, China. Sustainability, 10, 714. DOI: 10.3390/su10030714. |
| [17] | Liu YY, Wang Q, Zhang ZY, Tong LJ, Wang ZQ, Li JL (2019a). Grassland dynamics in responses to climate variation and human activities in China from 2000 to 2013. Science of the Total Environment, 690, 27-39. |
| [18] | Liu Y, Zhang Z, Tong L, Khalifa M, Wang Q, Gang C, Wang Z, Li J, Sun Z (2019b). Assessing the effects of climate variation and human activities on grassland degradation and restoration across the globe. Ecological Indicators, 106, 105504. DOI: 10.1016/j.ecolind.2019.105504. |
| [19] | Ma M, Qiao GH (2015). Correlation analysis between the institutional changes and grassland degradation: a case study of Xilinguole. Research of Agricultural Modernization, 36, 803-810. |
| [马梅, 乔光华 (2015). 制度变迁与草地退化的关联性分析——以锡林郭勒盟为例. 农业现代化研究, 36, 803-810.] | |
| [20] | Mariano DA, dos Santos CAC, Wardlow BD, Anderson MC, Schiltmeyer AV, Tadesse T, Svoboda MD (2018). Use of remote sensing indicators to assess effects of drought and human-induced land degradation on ecosystem health in Northeastern Brazil. Remote Sensing of Environment, 213, 129-143. |
| [21] | Mohammat A, Wang X, Xu X, Peng L, Yang Y, Zhang X, Myneni RB, Piao S (2013). Drought and spring cooling induced recent decrease in vegetation growth in Inner Asia. Agricultural and Forest Meteorology, 178-179, 21-30. |
| [22] | Mowll W, Blumenthal DM, Cherwin K, Smith A, Symstad AJ, Vermeire LT, Collins SL, Smith MD, Knapp AK (2015). Climatic controls of aboveground net primary production in semi-arid grasslands along a latitudinal gradient portend low sensitivity to warming. Oecologia, 177, 959-969. |
| [23] | Shi SY, Yu JJ, Wang F, Wang P, Zhang YC, Jin K (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: 10.1016/j.scitotenv.2020.142419. |
| [24] | Tong SQ, Lai Q, Zhang JQ, Bao YH, Lusi A, Ma QY, Li XQ, Zhang F (2018). Spatiotemporal drought variability on the Mongolian Plateau from 1980-2014 based on the SPEI- PM, intensity analysis and Hurst exponent. Science of the Total Environment, 615, 1557-1565. |
| [25] | Tong S, Li X, Zhang J, Bao Y, Bao Y, Na L, Lusi A (2019). Spatial and temporal variability in extreme temperature and precipitation events in Inner Mongolia (China) during 1960-2017. Science of the Total Environment, 649, 75-89. |
| [26] | Wang HT (2011). Present situation and countermeasures of grassland ecological environment degradation in Inner Mongolia. Review of Economic Research Reference, (47), 24-27. |
| [王皓田 (2011). 内蒙古草原生态环境退化现状及应对措施. 经济研究参考, (47), 24-27.] | |
| [27] | Wen ZF, Wu SJ, Chen JL, Lv MQ (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. |
| [28] | Wu X, Zhang R, Bento VA, Leng S, Qi J, Zeng J, Wang Q (2022). The effect of drought on vegetation gross primary productivity under different vegetation types across China from 2001 to 2020. Remote Sensing, 14, 4658. DOI: 10.3390/rs14184658. |
| [29] | Wu XT, Wang S, Fu BJ, Feng XM, Chen YZ (2019). Socio- ecological changes on the Loess Plateau of China after Grain to Green Program. Science of the Total Environment, 678, 565-573. |
| [30] | Xie SD, Mo XG, Hu S, Liu SX (2020). Contributions of climate change, elevated atmospheric CO2 and human activities to ET and GPP trends in the Three-North Region of China. Agricultural and Forest Meteorology, 295, 108183. DOI: 10.1016/j.agrformet.2020.108183. |
| [31] | Yang AL, Zhang XP, Li ZX, Li YC, Nan FS (2023). Quantitative analysis of the impacts of climate change and human activities on vegetation NPP in the Qilian Mountain National Park. Acta Ecologica Sinica, 43, 1784-1792. |
| [杨安乐, 张小平, 李宗省, 李玉辰, 南富森 (2023). 气候变化和人类活动对祁连山国家公园植被净初级生产力的定量影响. 生态学报, 43, 1784-1792.] | |
| [32] | Yang HF, Zhong XN, Deng SQ, Xu H (2021). Assessment of the impact of LUCC on NPP and its influencing factors in the Yangtze River Basin, China. Catena, 206, 105542. DOI: 10.1016/j.catena.2021.105542. |
| [33] | Yang Y, Wang Z, Li J, Gang C, Zhang Y, Zhang Y, Odeh I, Qi J (2016). Comparative assessment of grassland degradation dynamics in response to climate variation and human activities in China, Mongolia, Pakistan and Uzbekistan from 2000 to 2013. Journal of Arid Environments, 135, 164-172. |
| [34] | Yin H, Pflugmacher D, Li A, Li Z, Hostert P (2018). Land use and land cover change in Inner Mongolia—Understanding the effects of China’s re-vegetation programs. Remote Sensing of Environment, 204, 918-930. |
| [35] | You NS, Meng JJ, Zhu LJ, Jiang S, Zhu LK, Li F, Kuo LJ (2020). Isolating the impacts of land use/cover change and climate change on the GPP in the Heihe River Basin of China. Journal of Geophysical Research: Biogeosciences, 125, e2020JG005734. DOI: 10.1029/2020JG005734. |
| [36] | Yuan W, Liu S, Zhou G, Zhou G, Tieszen LL, Baldocchi D, Bernhofer C, Gholz H, Goldstein AH, Goulden ML, Hollinger DY, Hu Y, Law BE, Stoy PC, Vesala T, Wofsy SC (2007). Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes. Agricultural and Forest Meteorology, 143, 189-207. |
| [37] | Zhang LY, Liu AJ, Xing Q, Liu DF, Gao W (2006). Trend and analysis of vegetation variation of typical rangeland in Inner Mongolia—A case study of typical rangeland of Xilinguole. Journal of Arid Land Resources and Environment, 20, 185-190. |
| [张连义, 刘爱军, 邢旗, 刘德福, 高娃 (2006). 内蒙古典型草原区植被动态与植被恢复——以锡林郭勒盟典型草原区为例. 干旱区资源与环境, 20, 185-190.] | |
| [38] | Zhang XY, Zhou YL, He W, Ju WM, Liu YB, Bi WJ, Cheng N, Wei XN (2022). Land cover change instead of solar radiation change dominates the forest GPP increase during the recent phase of the Shelterbelt Program for Pearl River. Ecological Indicators, 136, 108664. DOI: 10.1016/j.ecolind.2022.108664. |
| [39] | Zhang Z, Zhang Y, Zhang Y, Gobron N, Frankenberg C, Wang S, Li Z (2020). The potential of satellite FPAR product for GPP estimation: an indirect evaluation using solar-induced chlorophyll fluorescence. Remote Sensing of Environment, 240, 111686. DOI: 10.1016/j.rse.2020.111686. |
| [40] | Zhao XN, Huang MT, Pang B (2022). The IPCC has released Climate Change 2021: a public summary. China Meteorological News, 2022-11-11. |
| [赵晓妮, 黄萌田, 庞博 (2022). IPCC最新发布《气候变化2021: 公众摘要》. 中国气象报, 2022-11-11.] | |
| [41] | Zhou W, Yang H, Huang L, Chen C, Lin XS, Hu ZJ, Li JL (2017). Grassland degradation remote sensing monitoring and driving factors quantitative assessment in China from 1982 to 2010. Ecological Indicators, 83, 303-313. |
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