IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v478y2023ics0304380023000224.html
   My bibliography  Save this article

Multivariate drives and their interactive effects on the ratio of transpiration to evapotranspiration over Central Asia ecosystems

Author

Listed:
  • Zhu, Shihua
  • Fang, Xia
  • Cao, Liangzhong
  • Hang, Xin
  • Xie, Xiaoping
  • Sun, Liangxiao
  • Li, Yachun

Abstract

The ratio of vegetation transpiration to evapotranspiration (T/ET) characterizes the role of vegetation in surface-atmosphere interactions, affecting ecosystem productivity and the global carbon and water balances. Therefore, isolating and identifying the spatiotemporal characteristics of T/ET and its response to the individual and interactive effects of climatic factors will help us better understand the carbon and water cycle characteristics of ecosystems. The arid region of Central Asia has always been in the restricted area of ​​carbon-water cycle observations due to scarce station observations, harsh climatic conditions, and severe anthropogenic disturbances. Using a specific Arid Ecosystem Model (AEM), this study explored the temporal and spatial dynamic patterns of T/ET of different plant functional types (PFTs) in drylands of Central Asia based on multi-climate scenarios, and separated and quantified the independent and interactive effects of different environmental factors. The result indicated that precipitation dominated the areas of 86% (ET, evapotranspiration), 77% (T, transpiration), and 71% (the ratio of T/ET) in the arid region of Central Asia, respectively. The effect of temperature on the ratio of T/ET was negative and slight. And the temperature increase effect is only 9.7% of the negative effect of precipitation. Affected by the insignificant effect of CO2 enrichment on T, the interactive effect between climate change and CO2 effect appear to be little and negative. According to the vegetation growth and the spatial distribution of precipitation, we found that the southern Xinjiang region and the Turgay Plateau in northwestern Kazakhstan are the ecologically vulnerable areas in Central Asian. The results also indicated that general warming in this region may not have a direct and significant impact on vegetation T/ET in the future. We may need to pay more attention to the indirect effect of enhanced evaporation and reduced moisture on T/ET caused by future warming.

Suggested Citation

  • Zhu, Shihua & Fang, Xia & Cao, Liangzhong & Hang, Xin & Xie, Xiaoping & Sun, Liangxiao & Li, Yachun, 2023. "Multivariate drives and their interactive effects on the ratio of transpiration to evapotranspiration over Central Asia ecosystems," Ecological Modelling, Elsevier, vol. 478(C).
    • Handle: RePEc:eee:ecomod:v:478:y:2023:i:c:s0304380023000224
    DOI: 10.1016/j.ecolmodel.2023.110294
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380023000224
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2023.110294?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Li, Chaofan & Zhang, Chi & Luo, Geping & Chen, Xi, 2013. "Modeling the carbon dynamics of the dryland ecosystems in Xinjiang, China from 1981 to 2007—The spatiotemporal patterns and climate controls," Ecological Modelling, Elsevier, vol. 267(C), pages 148-157.
    2. Zhang, Chi & Li, Chaofan & Luo, Geping & Chen, Xi, 2013. "Modeling plant structure and its impacts on carbon and water cycles of the Central Asian arid ecosystem in the context of climate change," Ecological Modelling, Elsevier, vol. 267(C), pages 158-179.
    3. Xu Lian & Shilong Piao & Chris Huntingford & Yue Li & Zhenzhong Zeng & Xuhui Wang & Philippe Ciais & Tim R. McVicar & Shushi Peng & Catherine Ottlé & Hui Yang & Yuting Yang & Yongqiang Zhang & Tao Wan, 2018. "Partitioning global land evapotranspiration using CMIP5 models constrained by observations," Nature Climate Change, Nature, vol. 8(7), pages 640-646, July.
    4. Lu, Xuefei & Liang, Liyin L. & Wang, Lixin & Jenerette, G. Darrel & McCabe, Matthew F. & Grantz, David A., 2017. "Partitioning of evapotranspiration using a stable isotope technique in an arid and high temperature agricultural production system," Agricultural Water Management, Elsevier, vol. 179(C), pages 103-109.
    5. A. M. J. Coenders-Gerrits & R. J. van der Ent & T. A. Bogaard & L. Wang-Erlandsson & M. Hrachowitz & H. H. G. Savenije, 2014. "Uncertainties in transpiration estimates," Nature, Nature, vol. 506(7487), pages 1-2, February.
    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. Chaofan Li & Qifei Han & Geping Luo & Chengyi Zhao & Shoubo Li & Yuangang Wang & Dongsheng Yu, 2018. "Effects of Cropland Conversion and Climate Change on Agrosystem Carbon Balance of China’s Dryland: A Typical Watershed Study," Sustainability, MDPI, vol. 10(12), pages 1-16, November.
    2. Peng Cai & Chaofan Li & Geping Luo & Chi Zhang & Friday Uchenna Ochege & Steven Caluwaerts & Lesley De Cruz & Rozemien De Troch & Sara Top & Piet Termonia & Philippe De Maeyer, 2020. "The Responses of the Ecosystems in the Tianshan North Slope under Multiple Representative Concentration Pathway Scenarios in the Middle of the 21st Century," Sustainability, MDPI, vol. 12(1), pages 1-19, January.
    3. Fang, Xia & Chen, Zhi & Guo, Xulin & Zhu, Shihua & Liu, Tong & Li, Chaofan & He, Biao, 2019. "Impacts and uncertainties of climate/CO2 change on net primary productivity in Xinjiang, China (2000–2014): A modelling approach," Ecological Modelling, Elsevier, vol. 408(C), pages 1-1.
    4. Xiuliang Yuan & Jie Bai, 2018. "Future Projected Changes in Local Evapotranspiration Coupled with Temperature and Precipitation Variation," Sustainability, MDPI, vol. 10(9), pages 1-14, September.
    5. Gong, Daozhi & Mei, Xurong & Hao, Weiping & Wang, Hanbo & Caylor, Kelly K., 2017. "Comparison of ET partitioning and crop coefficients between partial plastic mulched and non-mulched maize fields," Agricultural Water Management, Elsevier, vol. 181(C), pages 23-34.
    6. Wu, Genan & Lu, Xinchen & Zhao, Wei & Cao, Ruochen & Xie, Wenqi & Wang, Liyun & Wang, Qiuhong & Song, Jiexuan & Gao, Shaobo & Li, Shenggong & Hu, Zhongmin, 2023. "The increasing contribution of greening to the terrestrial evapotranspiration in China," Ecological Modelling, Elsevier, vol. 477(C).
    7. Feng, Yu & Hao, Weiping & Gao, Lili & Li, Haoru & Gong, Daozhi & Cui, Ningbo, 2019. "Comparison of maize water consumption at different scales between mulched and non-mulched croplands," Agricultural Water Management, Elsevier, vol. 216(C), pages 315-324.
    8. Xu Lian & Sujong Jeong & Chang-Eui Park & Hao Xu & Laurent Z. X. Li & Tao Wang & Pierre Gentine & Josep Peñuelas & Shilong Piao, 2022. "Biophysical impacts of northern vegetation changes on seasonal warming patterns," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    9. Yu, Haichao & Li, Sien & Ding, Jie & Yang, Tianyi & Wang, Yuexin, 2023. "Water use efficiency and its drivers of two typical cash crops in an arid area of Northwest China," Agricultural Water Management, Elsevier, vol. 287(C).
    10. Amin, M.G. Mostofa & Mahbub, S.M. Mubtasim & Hasan, Md. Moudud & Pervin, Wafa & Sharmin, Jinat & Hossain, Md. Delwar, 2023. "Plant–water relations in subtropical maize fields under mulching and organic fertilization," Agricultural Water Management, Elsevier, vol. 286(C).
    11. Li, Chaofan & Zhang, Chi & Luo, Geping & Chen, Xi, 2013. "Modeling the carbon dynamics of the dryland ecosystems in Xinjiang, China from 1981 to 2007—The spatiotemporal patterns and climate controls," Ecological Modelling, Elsevier, vol. 267(C), pages 148-157.
    12. Lai, Jianbin & Liu, Tiegang & Luo, Yi, 2022. "Evapotranspiration partitioning for winter wheat with shallow groundwater in the lower reach of the Yellow River Basin," Agricultural Water Management, Elsevier, vol. 266(C).
    13. Qidong Yang & Hongchao Zuo & Weidong Li, 2016. "Land Surface Model and Particle Swarm Optimization Algorithm Based on the Model-Optimization Method for Improving Soil Moisture Simulation in a Semi-Arid Region," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-17, March.
    14. Xu Lian & Wenli Zhao & Pierre Gentine, 2022. "Recent global decline in rainfall interception loss due to altered rainfall regimes," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    15. Zhao, Haigen & Ma, Yanfei, 2021. "Effects of various driving factors on potential evapotranspiration trends over the main grain-production area of China while accounting for vegetation dynamics," Agricultural Water Management, Elsevier, vol. 250(C).
    16. Yan Yu & Jiafu Mao & Stan D. Wullschleger & Anping Chen & Xiaoying Shi & Yaoping Wang & Forrest M. Hoffman & Yulong Zhang & Eric Pierce, 2022. "Machine learning–based observation-constrained projections reveal elevated global socioeconomic risks from wildfire," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    17. Ping Liu & Xi Chen & Chi Zhang & Geping Luo & Ping Liu & Xi Chen & Chi Zhang & Geping Luo & Xi Chen & Chi Zhang & Geping Luo, 2019. "Remote Sensing Monitoring Shows that Climate Change has a Significant Impact on Vegetation Ecosystem in Central Asia," International Journal of Environmental Sciences & Natural Resources, Juniper Publishers Inc., vol. 17(3), pages 81-87, February.
    18. Alam, Muhammad Shahinur & Lamb, David W. & Rahman, Muhammad Moshiur, 2019. "In-situ partitioning of evaporation and transpiration components using a portable evapotranspiration dome—A case study in Tall Fescue (Festuca arundinacea)," Agricultural Water Management, Elsevier, vol. 213(C), pages 352-357.
    19. Haoyang Du & Chen Zhou & Haoqing Tang & Xiaolong Jin & Dengshuai Chen & Penghui Jiang & Manchun Li, 2021. "Simulation and estimation of future precipitation changes in arid regions: a case study of Xinjiang, Northwest China," Climatic Change, Springer, vol. 167(3), pages 1-21, August.

    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:eee:ecomod:v:478:y:2023:i:c:s0304380023000224. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    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.