IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i14p8790-d865570.html
   My bibliography  Save this article

Change in Alpine Grassland NPP in Response to Climate Variation and Human Activities in the Yellow River Source Zone from 2000 to 2020

Author

Listed:
  • Feng Zhang

    (College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China)

  • Xiasong Hu

    (College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China)

  • Jing Zhang

    (College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China)

  • Chengyi Li

    (College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China)

  • Yupeng Zhang

    (College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China)

  • Xilai Li

    (College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China)

Abstract

Identifying the relative contributions of climate change and human activities to alpine grassland dynamics is critical for understanding grassland degradation mechanisms. In this study, first, the actual NPP (NPP a ) was obtained by MOD17A3. Second, we used the Zhou Guangsheng model to simulate the potential met net primary productivity (NPP p ). Finally, the NPP generated by anthropogenic activities (NPP h ) was estimated by calculating the difference between NPP p and NPP a . Then, the relative contributions of climate change and human activities to NPP changes in grasslands were quantitatively assessed by analyzing trends in NPP p and NPP a . Thereby, the drivers of NPP change in the Yellow River source grassland were identified. The results showed that the temperature and precipitation in the study area showed a warm-humid climate trend from 2000 to 2020. The NPP p and NPP a increased at a rate of 1.07 g C/m 2 and 1.51 g C/m 2 per year, respectively, while the NPP h decreased at a rate of 0.46 g C/m 2 per year. It can be seen that human activities had a positive effect on the change of NPP in the Yellow River source grassland from the change rate. The relative contribution analysis showed that 55.90% of grassland NPP increased due to climate change, 40.16% of grassland NPP increased due to human activities, and the grassland degradation was not significant. The research results can provide a theoretical basis and technical support for the next step of the Yellow River source grassland ecological protection project.

Suggested Citation

  • Feng Zhang & Xiasong Hu & Jing Zhang & Chengyi Li & Yupeng Zhang & Xilai Li, 2022. "Change in Alpine Grassland NPP in Response to Climate Variation and Human Activities in the Yellow River Source Zone from 2000 to 2020," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8790-:d:865570
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/14/8790/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/14/8790/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ying Zhang & Chaobin Zhang & Zhaoqi Wang & Ru An & Jianlong Li, 2019. "Comprehensive Research on Remote Sensing Monitoring of Grassland Degradation: A Case Study in the Three-River Source Region, China," Sustainability, MDPI, vol. 11(7), pages 1-15, March.
    2. Laga Tong & Xinliang Xu & Ying Fu & Shuang Li, 2014. "Wetland Changes and Their Responses to Climate Change in the “Three-River Headwaters” Region of China since the 1990s," Energies, MDPI, vol. 7(4), pages 1-20, April.
    3. Chen, Aifang & Li, Ruiyun & Wang, Honglin & He, Bin, 2015. "Quantitative assessment of human appropriation of aboveground net primary production in China," Ecological Modelling, Elsevier, vol. 312(C), pages 54-60.
    4. Chen Jun & Yifang Ban & Songnian Li, 2014. "Open access to Earth land-cover map," Nature, Nature, vol. 514(7523), pages 434-434, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qianning Zhang & Zhu Xu, 2021. "Fully Portraying Patch Area Scaling with Resolution: An Analytics and Descriptive Statistics-Combined Approach," Land, MDPI, vol. 10(3), pages 1-21, March.
    2. Hao Wang & Huimin Yan & Yunfeng Hu & Yue Xi & Yichen Yang, 2022. "Consistency and Accuracy of Four High-Resolution LULC Datasets—Indochina Peninsula Case Study," Land, MDPI, vol. 11(5), pages 1-19, May.
    3. Zhang, Yanjie & Pan, Ying & Li, Meng & Wang, Zhipeng & Wu, Junxi & Zhang, Xianzhou & Cao, Yanan, 2021. "Impacts of human appropriation of net primary production on ecosystem regulating services in Tibet," Ecosystem Services, Elsevier, vol. 47(C).
    4. Jingyi Wang & Chen Weng & Zhen Wang & Chunming Li & Tingting Wang, 2022. "What Constitutes the High-Quality Soundscape in Human Habitats? Utilizing a Random Forest Model to Explore Soundscape and Its Geospatial Factors Behind," IJERPH, MDPI, vol. 19(21), pages 1-23, October.
    5. Qing Yang & Zhanqiang Chang & Chou Xie & Chaoyong Shen & Bangsen Tian & Haoran Fang & Yihong Guo & Yu Zhu & Daoqin Zhou & Xin Yao & Guanwen Chen & Tao Xie, 2023. "Combining Soil Moisture and MT-InSAR Data to Evaluate Regional Landslide Susceptibility in Weining, China," Land, MDPI, vol. 12(7), pages 1-34, July.
    6. Gang Lin & Dong Jiang & Xiang Li & Jingying Fu, 2022. "Accounting for Carbon Sink and Its Dominant Influencing Factors in Chinese Ecological Space," Land, MDPI, vol. 11(10), pages 1-19, October.
    7. Hao Wang & Yunfeng Hu, 2021. "Simulation of Biocapacity and Spatial-Temporal Evolution Analysis of Loess Plateau in Northern Shaanxi Based on the CA–Markov Model," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    8. Pritchard, Rose & Ryan, Casey M. & Grundy, Isla & van der Horst, Dan, 2018. "Human Appropriation of Net Primary Productivity and Rural Livelihoods: Findings From Six Villages in Zimbabwe," Ecological Economics, Elsevier, vol. 146(C), pages 115-124.
    9. Li, Xiaoliang & Wu, Kening & Yang, Qijun & Hao, Shiheng & Feng, Zhe & Ma, Jinliang, 2023. "Quantitative assessment of cultivated land use intensity in Heilongjiang Province, China, 2001–2015," Land Use Policy, Elsevier, vol. 125(C).
    10. Ning He & Wenxian Guo & Hongxiang Wang & Long Yu & Siyuan Cheng & Lintong Huang & Xuyang Jiao & Wenxiong Chen & Haotong Zhou, 2023. "Temporal and Spatial Variations in Landscape Habitat Quality under Multiple Land-Use/Land-Cover Scenarios Based on the PLUS-InVEST Model in the Yangtze River Basin, China," Land, MDPI, vol. 12(7), pages 1-19, July.
    11. Yihao Zhang & Jianzhong Yan & Xian Cheng & Xinjun He, 2021. "Wetland Changes and Their Relation to Climate Change in the Pumqu Basin, Tibetan Plateau," IJERPH, MDPI, vol. 18(5), pages 1-24, March.
    12. Ling-en Wang & Yuxi Zeng & Linsheng Zhong, 2017. "Impact of Climate Change on Tourism on the Qinghai-Tibetan Plateau: Research Based on a Literature Review," Sustainability, MDPI, vol. 9(9), pages 1-14, August.
    13. Yunchen Wang & Boyan Li, 2022. "The Spatial Disparities of Land-Use Efficiency in Mainland China from 2000 to 2015," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
    14. Zhang, Shaoyao & Deng, Wei & Zhang, Hao & Wang, Zhanyun, 2023. "Identification and analysis of transitional zone patterns along urban-rural-natural landscape gradients: An application to China’s southwest mountains," Land Use Policy, Elsevier, vol. 129(C).
    15. Chaoqing Huang & Chao He & Qian Wu & MinhThu Nguyen & Song Hong, 2023. "Classification of the Land Cover of a Megacity in ASEAN Using Two Band Combinations and Three Machine Learning Algorithms: A Case Study in Ho Chi Minh City," Sustainability, MDPI, vol. 15(8), pages 1-27, April.
    16. Wei Guo & Yongjia Teng & Yueguan Yan & Chuanwu Zhao & Wanqiu Zhang & Xianglin Ji, 2022. "Simulation of Land Use and Carbon Storage Evolution in Multi-Scenario: A Case Study in Beijing-Tianjin-Hebei Urban Agglomeration, China," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    17. Ziqian Kang & Shuo Wang & Ling Xu & Fenglin Yang & Shushen Zhang, 2021. "Suitability assessment of urban land use in Dalian, China using PNN and GIS," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(1), pages 913-936, March.
    18. Myroslava Lesiv & Anatoly Shvidenko & Dmitry Schepaschenko & Linda See & Steffen Fritz, 2019. "A spatial assessment of the forest carbon budget for Ukraine," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 985-1006, August.
    19. Baifei Ren & Keunhyun Park & Anil Shrestha & Jun Yang & Melissa McHale & Weilan Bai & Guangyu Wang, 2022. "Impact of Human Disturbances on the Spatial Heterogeneity of Landscape Fragmentation in Qilian Mountain National Park, China," Land, MDPI, vol. 11(11), pages 1-26, November.
    20. Dongchuan Wang & Hua Chai & Zhiheng Wang & Kangjian Wang & Hongyi Wang & Hui Long & Jianshe Gao & Aoze Wei & Sirun Wang, 2022. "Dynamic Monitoring and Ecological Risk Analysis of Lake Inundation Areas in Tibetan Plateau," Sustainability, MDPI, vol. 14(20), pages 1-20, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8790-:d:865570. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.