IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i13p8191-d855900.html
   My bibliography  Save this article

Spatiotemporal Variability in Water-Use Efficiency in Tianshan Mountains (Xinjiang, China) and the Influencing Factors

Author

Listed:
  • Jun Chen

    (Anhui Engineering and Technology Research Center for Smart City, Anhui Jianzhu University, Hefei 230601, China)

  • Liguo Cao

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China)

Abstract

Water-use efficiency (WUE) is a crucial physiological index in carbon–water interactions and is defined as the ratio of vegetation productivity to water loss. The variation in climatic variables and drought have the most significant effects on WUE and evapotranspiration (ET). Nevertheless, how WUE varies with climate factors and drought processes in the Tianshan Mountains (TMS) is still poorly understood. In the present work, we analyzed the spatiotemporal variations in WUE, and investigated the correlations between WUE, climate factors, and drought, in the study area. The results showed that, in the TMS during 2000–2020, annual net primary productivity (NPP) ranged from 147.9 to 189.4 gC·m −2 , annual ET was in the range of 212.5–285.8 mm, and annual WUE ranged from 0.66 to 0.78 gC·kg −1 ·H 2 O. Both NPP and ET exhibited an increasing trend with some fluctuation, whereas WUE showed the opposite tendency during the study period. The obtained results demonstrated that the decrease in WUE was primarily because of the increase in ET. There were obvious differences in WUE, under different land-use types, caused by NPP and ET. However, the interannual variation in WUE showed small fluctuations and the dynamic process of WUE in each land-use type showed good consistency. Temperature and wind speed had a positive influence on WUE in the middle and eastern regions of the TMS. Precipitation also played a mainly positive role in enhancing WUE, especially on the northern slope of the TMS. There was strong spatial heterogeneity of the correlation coefficient (0.68, p < 0.05) between WUE and the temperature vegetation drought index (TVDI). Moreover, the slopes of WUE and TVDI showed good consistency in terms of spatial distribution, suggesting that drought had a significant impact on ecosystem WUE. This work will enhance the understanding of WUE variation, and provide scientific evidence for water resource management and sustainable utilization in the study area.

Suggested Citation

  • Jun Chen & Liguo Cao, 2022. "Spatiotemporal Variability in Water-Use Efficiency in Tianshan Mountains (Xinjiang, China) and the Influencing Factors," Sustainability, MDPI, vol. 14(13), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:8191-:d:855900
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/13/8191/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/13/8191/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christopher R. Schwalm & William R. L. Anderegg & Anna M. Michalak & Joshua B. Fisher & Franco Biondi & George Koch & Marcy Litvak & Kiona Ogle & John D. Shaw & Adam Wolf & Deborah N. Huntzinger & Kev, 2017. "Global patterns of drought recovery," Nature, Nature, vol. 548(7666), pages 202-205, August.
    2. Guillermo E. Ponce-Campos & M. Susan Moran & Alfredo Huete & Yongguang Zhang & Cynthia Bresloff & Travis E. Huxman & Derek Eamus & David D. Bosch & Anthony R. Buda & Stacey A. Gunter & Tamara Heartsil, 2013. "Ecosystem resilience despite large-scale altered hydroclimatic conditions," Nature, Nature, vol. 494(7437), pages 349-352, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rodigheri, Grazieli & Fontana, Denise Cybis & da Luz, Luana Becker & Dalmago, Genei Antonio & Schirmbeck, Lucimara Wolfarth & Schirmbeck, Juliano & de Gouvêa, Jorge Alberto & da Cunha, Gilberto Rocca, 2024. "TVDI-based water stress coefficient to estimate net primary productivity in soybean areas," Ecological Modelling, Elsevier, vol. 490(C).

    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. Yanqun Ren & Jinping Liu & Patrick Willems & Tie Liu & Quoc Bao Pham, 2023. "Detection and Assessment of Changing Drought Events in China in the Context of Climate Change Based on the Intensity–Area–Duration Algorithm," Land, MDPI, vol. 12(10), pages 1-18, September.
    2. Xiaoliang Shi & Fei Chen & Hao Ding & Mengqi Shi & Yi Li, 2022. "Assessing Vegetation Ecosystem Resistance to Drought in the Middle Reaches of the Yellow River Basin, China," IJERPH, MDPI, vol. 19(7), pages 1-16, March.
    3. Zhiming Zhang & Fengman Fang & Youru Yao & Qing Ji & Xiaojing Cheng, 2024. "Exploring the Response of Ecosystem Services to Socioecological Factors in the Yangtze River Economic Belt, China," Land, MDPI, vol. 13(6), pages 1-18, May.
    4. Vinícius B. P. Chagas & Pedro L. B. Chaffe & Günter Blöschl, 2022. "Climate and land management accelerate the Brazilian water cycle," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    5. Qiong Jia & Mengfei Li & Xuecheng Dou, 2022. "Climate Change Affects Crop Production Potential in Semi-Arid Regions: A Case Study in Dingxi, Northwest China, in Recent 30 Years," Sustainability, MDPI, vol. 14(6), pages 1-12, March.
    6. Zhan, Cun & Liang, Chuan & Zhao, Lu & Jiang, Shouzheng & Niu, Kaijie & Zhang, Yaling, 2023. "Multifractal characteristics of multiscale drought in the Yellow River Basin, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    7. Liu, Zihan & Cai, Lu & Dong, Qinge & Zhao, Xiaoli & Han, Jianqiao, 2022. "Effects of microplastics on water infiltration in agricultural soil on the Loess Plateau, China," Agricultural Water Management, Elsevier, vol. 271(C).
    8. Pirzad, Alireza & Mohammadzadeh, Sevil, 2018. "Water use efficiency of three mycorrhizal Lamiaceae species (Lavandula officinalis, Rosmarinus officinalis and Thymus vulgaris)," Agricultural Water Management, Elsevier, vol. 204(C), pages 1-10.
    9. Xiangzhong Luo & Trevor F. Keenan, 2022. "Tropical extreme droughts drive long-term increase in atmospheric CO2 growth rate variability," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    10. Seixas, Hugo Tameirão & Brunsell, Nathaniel A. & Moraes, Elisabete Caria & de Oliveira, Gabriel & Mataveli, Guilherme, 2022. "Exploring the ecosystem resilience concept with land surface model scenarios," Ecological Modelling, Elsevier, vol. 464(C).
    11. Mohammed Mohi-Ud-Din & Md. Alamgir Hossain & Md. Motiar Rohman & Md. Nesar Uddin & Md. Sabibul Haque & Eldessoky S. Dessoky & Mohammed Alqurashi & Salman Aloufi, 2022. "Assessment of Genetic Diversity of Bread Wheat Genotypes for Drought Tolerance Using Canopy Reflectance-Based Phenotyping and SSR Marker-Based Genotyping," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    12. Anne Gobin & Le Thi Thu Hien & Le Trinh Hai & Pham Ha Linh & Nguyen Ngoc Thang & Pham Quang Vinh, 2020. "Adaptation to Land Degradation in Southeast Vietnam," Land, MDPI, vol. 9(9), pages 1-25, August.
    13. Lei Zhang & Wei Song & Wen Song, 2020. "Assessment of Agricultural Drought Risk in the Lancang-Mekong Region, South East Asia," IJERPH, MDPI, vol. 17(17), pages 1-24, August.
    14. Akash Koppa & Dominik Rains & Petra Hulsman & Rafael Poyatos & Diego G. Miralles, 2022. "A deep learning-based hybrid model of global terrestrial evaporation," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    15. Zhongfa Zhou & Qing Feng & Changli Zhu & Wanlin Luo & Lingyu Wang & Xin Zhao & Lu Zhang, 2022. "The Spatial and Temporal Evolution of Ecological Environment Quality in Karst Ecologically Fragile Areas Driven by Poverty Alleviation Resettlement," Land, MDPI, vol. 11(8), pages 1-20, July.
    16. Liping Jia & Yi He & Wanqing Liu & Yaru Zhang & Yanlin Li, 2023. "Response of Photosynthetic Efficiency to Extreme Drought and Its Influencing Factors in Southwest China," Sustainability, MDPI, vol. 15(2), pages 1-15, January.
    17. Tugrul Varol & Ayhan Atesoglu & Halil Baris Ozel & Mehmet Cetin, 2023. "Copula-based multivariate standardized drought index (MSDI) and length, severity, and frequency of hydrological drought in the Upper Sakarya Basin, Turkey," 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. 116(3), pages 3669-3683, April.
    18. Adil Dilawar & Baozhang Chen & Arfan Arshad & Lifeng Guo & Muhammad Irfan Ehsan & Yawar Hussain & Alphonse Kayiranga & Simon Measho & Huifang Zhang & Fei Wang & Xiaohong Sun & Mengyu Ge, 2021. "Towards Understanding Variability in Droughts in Response to Extreme Climate Conditions over the Different Agro-Ecological Zones of Pakistan," Sustainability, MDPI, vol. 13(12), pages 1-28, June.
    19. Mingcong Lv & Zhongmei Wang, 2024. "Research on Meteorological Drought Risk Prediction in the Daqing River Basin Based on HADGEM3-RA," Agriculture, MDPI, vol. 14(10), pages 1-20, October.
    20. Isaac Busayo Oluwatayo & Tamunotonye Mayowa Braide, 2022. "Socioeconomic Determinants of Households’ Vulnerability to Drought in Western Cape, South Africa," Sustainability, MDPI, vol. 14(13), pages 1-20, June.

    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:13:p:8191-:d:855900. 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.