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Arid Land Geography >

2022 , Vol. 45 >Issue 4: 1186 - 1199

DOI: https://doi.org/10.12118/j.issn.1000-6060.2021.507

Earth Information Sciences

Effects of climate change and human activities on net primary productivity of vegetation in Yanchi County

  • Shiyao LI ,
  • Shixiang CONG ,
  • Rongrong WANG ,
  • Hailong YU ,
  • Juying HUANG
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  • 1. School of Geography and Planning, Ningxia University, Yinchuan 750021, Ningxia, China
    2. School of Ecology and Environment, Ningxia University, Yinchuan 750021, Ningxia, China

Received date: 2021-11-01

  Revised date: 2021-12-25

  Online published: 2022-08-11

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Abstract

This study aims to quantitatively differentiate the relative contribution rate of climate change and human activities during the vegetation cover change in the typical agricultural pastoral ecotone of Northern China under the background of the “grain to green project”. Taking vegetation change from 2000 to 2020 in the Yanchi County, Ningxia Province as the study object and using MODIS13Q1-NDVI, land cover data, and meteorological data from 2000 to 2020, the annual potential net primary productivity and actual net primary productivity were simulated using the models of Thornthwaite Memorial and Carnegie Ames Stanford Approach. The spatial and temporal change characteristics of the net primary productivity (NPP) in the Yanchi County and its driving force were analyzed, and the relative contribution rates of meteorological factors and human activities in the process of vegetation cover change were quantitatively calculated using trend analysis, correlation analysis, and difference comparison. The results showed the following: (1) The NPP totally presented an increasing trend, but there was an obvious spatial heterogeneity in the NPP change trend and degree, mainly manifested when the vegetation NPPs of the improved areas were far greater than the those of the degraded areas, and the extents of improvement and degradation showed significant spatial heterogeneity. The vegetation-improved areas were mainly distributed in the desert and desert steppe (where the “grain to green project” was conducted) and in irrigated areas, whereas the vegetation-degraded areas were mainly distributed in the edge zones of the desert and desert steppe. (2) The vegetation change attribution analysis results indicated that in the vegetation-improved areas, the relative contribution rate of climate change (59.77%) was higher than that of human activities (40.23%). Meanwhile, in the vegetation-degraded areas, the relative contribution rate of human activities (91.77%) was higher than that of climate change (8.23%). (3) The driving force analysis results indicated that the vegetation NPP was positively correlated with precipitation but weakly correlated with temperature. Human activities were the main driving force that drove the NPP decrease in the vegetation-degraded areas. In summary, climate change was the main driving force that drove the NPP improvement in the vegetation-improved areas, whereas human activities were the main driving factors that led to the NPP decrease in the vegetation-degraded areas. Climate and human activities jointly dominated the improvement of the total ecological environment in the Yanchi County.

Key words： net primary productivity (NPP); desert steppe; vegetation change; driving force; Yanchi County

Cite this article

Shiyao LI , Shixiang CONG , Rongrong WANG , Hailong YU , Juying HUANG . Effects of climate change and human activities on net primary productivity of vegetation in Yanchi County[J]. Arid Land Geography, 2022 , 45(4) : 1186 -1199 . DOI: 10.12118/j.issn.1000-6060.2021.507

References

[1] 王宏杰, 郭延平, 柳怀孝. 略谈宁夏盐池县草原沙化问题[J]. 中国草地学报, 1985(1): 18-20.
[1] [ Wang Hongjie, Guo Yanping, Liu Huaixiao. A brief discussion on the desertification of grassland in Yanchi County, Ningxia[J]. Chinese Journal of Grassland, 1985(1): 18-20. ]
[2] 陈晓光, 李剑萍, 李志军, 等. 宁夏盐池近年来植被与气候变化分析[J]. 生态学报, 2006, 26(5): 1516-1522.
[2] [ Chen Xiaoguang, Li Jianping, Li Zhijun, et al. Vegetation change in Yanchi of Ningxia and its relationship with climate change inrecent years[J]. Acta Ecologica Sinica, 2006, 26(5): 1516-1522. ]
[3] Sun Z Y, Wang X F, Yamamoto H, et al. Spatial pattern of GPP variations in terrestrial ecosystems and its drivers: Climatic factors, CO2 concentration and land-cover change, 1982-2015[J]. Ecological Informatics, 2018, 46: 156-165.
[4] 李庆, 高素改, 张春来, 等. 内蒙古草地变化过程中气候变化和人类活动的相对作用评估[J]. 地理与地理信息科学, 2019, 35(3): 99-104.
[4] [ Li Qing, Gao Sugai, Zhang Chunlai, et al. Assessment of the impacts of climate change and human activities on the dynamic grassland change in Inner Mongolia[J]. Geography and Geo-Information Science, 2019, 35(3): 99-104. ]
[5] 朴世龙, 方精云, 郭庆华. 利用CASA模型估算我国植被净第一性生产力[J]. 植物生态学报, 2001, 25(5): 603-608, 644.
[5] [ Piao Shilong, Fang Jingyun, Guo Qinghua. Application of CASA model to the estimation of Chinese terrestrial net primary productivity[J]. Chinese Journal of Plant Ecology, 2001, 25(5): 603-608, 644. ]
[6] Gang C, Zhou W, Wang Z, et al. Comparative assessment of grassland NPP dynamics in response to climate change in China, North America, Europe and Australia from 1981 to 2010[J]. Journal of Agronomy and Crop Science, 2015, 201: 57-68.
[7] Chen B X, Zhang X Z, Tao J, et al. The impact of climate change and anthropogenic activities on alpine grassland over the Qinghai-Tibet Plateau[J]. Agricultural and Forest Meteorology, 2014, 189-190: 11-18.
[8] 石晓丽, 史文娇. 气候变化和人类活动对耕地格局变化的贡献归因综述[J]. 地理学报, 2015, 70(9): 1463-1476.
[8] [ Shi Xiaoli, Shi Wenjiao. Identifying contributions of climate change and human activities to spatial-temporal cropland changes: A review[J]. Acta Geographica Sinica, 2015, 70(9): 1463-1476. ]
[9] 马启民, 贾晓鹏, 王海兵, 等. 气候和人为因素对植被变化影响的评价方法综述[J]. 中国沙漠, 2019, 39(6): 48-55.
[9] [ Ma Qimin, Jia Xiaopeng, Wang Haibing, et al. Recent advances in driving mechanisms of climate and anthropogenic factors on vegetation change[J]. Journal of Desert Research, 2019, 39(6): 48-55. ]
[10] Fetzel T, Niedertscheider M, Haberl H, et al. Patterns and changes of land use and land-use efficiency in Africa 1980-2005: An analysis based on the human appropriation of net primary production framework[J]. Regional Environmental Change, 2016, 16: 1507-1520.
[11] 梁顺林, 李小文, 王锦地, 等. 定量遥感: 理念与算法[M]. 北京: 科学出版社, 2013: 382.
[11] [ Liang Shunlin, Li Xiaowen, Wang Jindi, et al. Quantitative remote sensing: Concept and algorithm[M]. Beijing: Science Press, 2013: 382. ]
[12] 李辉, 红英, 邓国荣, 等. 1982-2015年气候变化和人类活动对内蒙古草地净初级生产力的影响[J]. 应用生态学报, 2021, 32(2): 415-424.
[12] [ Li Hui, Hong Ying, Deng Guorong, et al. Impacts of climate change and human activities on net primary productivity of grasslands in Inner Mongolia, China during 1982-2015[J]. Chinese Journal of Applied Ecology, 2021, 32(2): 415-424. ]
[13] John R, Chen J Q, Kim Y, et al. Differentiating anthropogenic modification and precipitation-driven change on vegetation productivity on the Mongolian Plateau[J]. Landscape Ecology, 2016, 31: 547-566.
[14] 田海静. 非气候因素引起的中国植被变化遥感诊断[D]. 北京: 中国科学院遥感与数字地球研究所, 2017.
[14] [ Tian Haijing. Assessment of non-climate triggered vegetation trends in China from time series of remotely sensed data: A case study of government-dominated forest construction[D]. Beijing: Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, 2017. ]
[15] 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: 1601-1609.
[16] Mu S J, Zhou S X, Chen Y Z, et al. Assessing the impact of restoration-induced land conversion and management alternatives on net primary productivity in Inner Mongolian grassland, China[J]. Global and Planetary Change, 2013, 108: 29-41.
[17] Zhou W, Gang C C, Zhou F C, et al. Quantitative assessment of the individual contribution of climate and human factors to desertification in northwest China using net primary productivity as an indicator[J]. Ecological Indicators, 2015, 48: 560-569.
[18] 中国科学院中国植被图编辑委员会. 1:1000000中国植被图集[M]. 北京: 科学出版社, 2001.
[18] [Editorial Board of Vegetation Map of China, Chinese Academy of Science. 1:1000000 vegetation atlas of China[M]. Beijing: Science Press, 2001. ]
[19] Holben B N. Characteristics of maximum-value composite images from temporal AVHRR data[J]. International Journal of Remote Sensing, 1986, 7: 1417-1434.
[20] 汪权方, 张海文, 孙杭州, 等. 基于时序MODIS/NDVI影像的鄂东南低山丘陵区植被覆盖度季节变化特征[J]. 长江流域资源与环境, 2010, 19(8): 884-889.
[20] [ Wang Quanfang, Zhang Haiwen, Sun Hangzhou, et al. Seasonal variation characteristics of vegetation fraction in the hilly southeastern Hubei Province, using time-series MODIS 250 m NAVI data[J]. Resources and Environment in the Yangtze Basin, 2010, 19(8): 884-889. ]
[21] 朱文泉, 潘耀忠, 张锦水. 中国陆地植被净初级生产力遥感估算[J]. 植物生态学报, 2007, 31(3): 413-424.
[21] [ Zhu Wenquan, Pan Yaozhong, Zhang Jinshui. Estimation of net primary productivity of Chinese terrestrial vegetation based on remote sensing[J]. Chinese Journal of Plant Ecology, 2007, 31(3): 413-424. ]
[22] Zhu W Q, Pan Y Z, He H, et al. Simulation of maximum light use efficiency for some typical vegetation types in China[J]. Chinese Science Bulletin, 2006, 51(4): 457-463.
[23] 和清华, 谢云. 我国太阳总辐射气候学计算方法研究[J]. 自然资源学报, 2010, 25(2): 308-319.
[23] [ He Qinghua, Xie Yun. Research on the climatological calculation method of solar radiation in China[J]. Journal of Natural Resources, 2010, 25(2): 308-319. ]
[24] Lieth H, Whittaker R H. Primary productivity of the biosphere[M]. Berlin: Springer, 1975.
[25] 周妍妍, 朱敏翔, 郭晓娟, 等. 疏勒河流域气候变化和人类活动对植被NPP的相对影响评价[J]. 生态学报, 2019, 39(14): 5127-5137.
[25] [ Zhou Yanyan, Zhu Minxiang, Guo Xiaojuan, et al. Relative effects of climate change and human activities on net primary productivity in Shule River Basin[J]. Acta Ecologica Sinica, 2019, 39(14): 5127-5137. ]
[26] Yang Y, Wang Z Q, Li J L, et al. Comparative assessment of grassland degradation dynamics in response to climate variation and human activities in China, Mongolia, Pakistan and Uzbekistan from 2000 to 2013[J]. Journal of Arid Environments, 2016, 135: 164-172.
[27] 刘斌, 孙艳玲, 王中良, 等. 华北地区植被覆盖变化及其影响因子的相对作用分析[J]. 自然资源学报, 2015, 30(1): 12-23.
[27] [ Liu Bin, Sun Yanling, Wang Zhongliang, et al. Relative effects of climate change and human activities on net primary productivity in Shule River Basin[J]. Acta Ecologica Sinica, 2015, 30(1): 12-23. ]
[28] 赵俊红, 周华荣, 卢雅焱, 等. 2000-2015年塔里木胡杨林国家级自然保护区NPP时空动态特征及其影响因素[J]. 干旱区地理, 2020, 43(1): 190-200.
[28] [ Zhao Junhong, Zhou Huarong, Lu Yayan, et al. Temporal-spatial characteristics and influencing factors of the vegetation net primary production in the national nature reserve of Populus euphratica in Tarim from 2000 to 2015[J]. Arid Land Geography, 2020, 43(1): 190-200. ]
[29] 倪向南, 郭伟, 乔凯. 陕北风沙过渡带植被净初级生产力变化特征及原因[J]. 中国沙漠, 2018, 38(4): 889-898.
[29] [ Ni Xiangnan, Guo Wei, Qiao Kai. Spatial and temporal patterns of net primary productivity and their attribution in wind drift sand region in northern Shaanxi[J]. Journal of Desert Research, 2018, 38(4): 889-898. ]
[30] 朱玉果, 杜灵通, 谢应忠, 等. 2000-2015年宁夏草地净初级生产力时空特征及其气候响应[J]. 生态学报, 2019, 39(2): 518-529.
[30] [ Zhu Yuguo, Du Lingtong, Xie Yingzhong, et al. Spatiotemporal characteristics of grassland net primary production in Ningxia Province from 2000 to 2015 and its response to climate change[J]. Acta Ecologica Sinica, 2019, 39(2): 518-529. ]
[31] 穆少杰, 李建龙, 周伟, 等. 2001-2010年内蒙古植被净初级生产力的时空格局及其与气候的关系[J]. 生态学报, 2013, 33(12): 3752-3764.
[31] [ Mu Shaojie, Li Jianlong, Zhou Wei, et al. Spatial-temporal distribution of net primary productivity and its relationship with climate factors in Inner Mongolia from 2001 to 2010[J]. Acta Ecologica Sinica, 2013, 33(12): 3752-3764. ]
[32] 李柏延, 任志远. 银川盆地净初级生产力估算和趋势分析[J]. 中国农业科学, 2016, 49(7): 1303-1314.
[32] [ Li Boyan, Ren Zhiyuan. Trend analysis and estimation of net primary productivity in Yinchuan Basin[J]. Scientia Agricultura Sinica, 2016, 49(7): 1303-1314. ]
[33] 程积民, 井赵斌, 金晶炜, 等. 黄土高原半干旱区退化草地恢复与利用过程研究[J]. 中国科学: 生命科学, 2014, 44(3): 267-279.
[33] [ Cheng Jimin, Jing Zhaobin, Jin Jingwei, et al. Restoration and utilization mechanism of degraded grassland in the semi-arid region of Loess Plateau[J]. Scientia Sinica (Vitae), 2014, 44(3): 267-279. ]
[34] Liu M, Dries L, Heijman W, et al. The impact of ecological construction programs on grassland conservation in Inner Mongolia, China[J]. Land Degradation and Development, 2018, 29: 326-336.
[35] O’Neill D W, Tyedmers P H, Beazley K F. Human appropriation of net primary production (HANPP) in Nova Scotia, Canada[J]. Regional Environmental Change, 2007, 7: 1-14.
[36] Liu Y, Li Y, Li S C, et al. Spatial and temporal patterns of global NDVI trends: Correlations with climate and human factors[J]. Remote Sensing, 2015, 7: 13233-13250.
[37] 周伟, 牟凤云, 刚成诚, 等. 1982-2010年中国草地净初级生产力时空动态及其与气候因子的关系[J]. 生态学报, 2017, 37(13): 4335-4345.
[37] [ Zhou Wei, Mu Fengyun, Gang Chengcheng, et al. Spatio-temporal dynamics of grassland net primary productivity and their relationship with climatic factors from 1982 to 2010 in China[J]. Acta Ecologica Sinica, 2017, 37(13): 4335-4345. ]
[38] 张宝庆, 田磊, 赵西宁, 等. 植被恢复对黄土高原局地降水的反馈效应研究[J]. 中国科学: 地球科学, 2021, 51(7): 1080-1091.
[38] [ Zhang Baoqing, Tian Lei, Zhao Xi’ning, et al. Feedback effect of vegetation restoration on local precipitation in the Loess Plateau[J]. Science China Earth Sciences, 2021, 51(7): 1080-1091. ]
[39] 宋乃平, 王兴, 杨新国, 等. 农牧交错带县域农牧系统对气候波动的响应机制[J]. 生态学报, 2016, 36(13): 3969-3977.
[39] [ Song Naiping, Wang Xing, Yang Xinguo, et al. Response mechanisms of a county territory agro-pastoral system to climate fluctuations in an agro-pastoral transitional zone[J]. Acta Ecologica Sinica, 2016, 36(13): 3969-3977. ]
[40] 汤英, 丁成翔, 徐利岗, 等. 宁夏典型牧区盐池县降水及可利用降水多时间尺度变化特征分析[J]. 甘肃农业大学学报, 2021, 56(5): 101-109.
[40] [ Tang Ying, Ding Chengxiang, Xu Ligang, et al. Analysis on multi-time scale variation characteristics of precipitation and available precipitation during 1954-2019 in Yanchi area of Ningxia[J]. Journal of Gansu Agriculture University, 2021, 56(5): 101-109. ]
[41] 王胜杰, 赵国强, 王旻燕, 等. 1961-2020年黄河流域气候变化特征研究[J]. 气象与环境科学, 2021, 44(6): 1-8.
[41] [ Wang Shengjie, Zhao Guoqiang, Wang Minyan, et al. Characteristics of climate change in the Yellow River Basin from 1961 to 2020[J]. Meteorological and Environmental Sciences, 2021, 44(6): 1-8. ]
[42] Xu S Q, Yu Z B, Yang C G, et al. Trends in evapotranspiration and their responses to climate change and vegetation greening over the upper reaches of the Yellow River Basin[J]. Agricultural and Forest Meteorology, 2018, 263: 118-129.
[43] 孙睿, 朱启疆. 气候变化对中国陆地植被净第一性生产力影响的初步研究[J]. 遥感学报, 2001, 5(1): 58-61.
[43] [ Sun Rui, Zhu Qijiang. Effect of climate change of terrestrial net primary productivity in China[J]. National Remote Sensing Bulletin, 2001, 5(1): 58-61. ]
[44] 高江波, 焦珂伟, 吴绍洪. 1982-2013年中国植被NDVI空间异质性的气候影响分析[J]. 地理学报, 2019, 74(3): 534-543.
[44] [ Gao Jiangbo, Jiao Kewei, Wu Shaohong. Revealing the climatic impacts on spatial heterogeneity of NDVI in China during 1982-2013[J]. Acta Geographica Sinica, 2019, 74(3): 534-543. ]
[45] 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.
[45] [ Liu Guobin, Shangguan Zhouping, Yao Wenyi, et al. Ecological effects of soil conservation in Loess Plateau[J]. Bulletin of Chinese Academy of Sciences, 2017, 32(1): 11-19. ]
[46] 张珺, 任鸿瑞. 人类活动对锡林郭勒盟草原净初级生产力的影响研究[J]. 自然资源学报, 2017, 32(7): 1125-1133.
[46] [ Zhang Jun, Ren Hongrui. Effects of human activities on net primary productivity in the Xilingol grassland[J]. Journal of Natural Resources, 2017, 32(7): 1125-1133. ]
[47] 孙丽蓉, 周冬梅, 岑国璋, 等. 基于地理探测器模型的疏勒河流域景观生态风险评价及驱动因素分析[J]. 干旱区地理, 2021, 44(5): 1384-1395.
[47] [ Sun Lirong, Zhou Dongmei, Cen Guozhang, et al. Landscape ecological risk assessment and driving factors of the Shule River Basin based on the geographic detector model[J]. Arid Land Geography, 2021, 44(5): 1384-1395. ]
[48] Liu R, Xiao L L, Liu Z, et al. Quantifying the relative impacts of climate and human activities on vegetation changes at the regional scale[J]. Ecological Indicators, 2018, 93: 91-99.
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