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Leaf- and ecosystem-scale water use efficiency and their controlling factors of a kiwifruit orchard in the humid region of Southwest China

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  • Jiang, Shouzheng
  • Zhao, Lu
  • Liang, Chuan
  • Hu, Xiaotao
  • Yaosheng, Wang
  • Gong, Daozhi
  • Zheng, Shunsheng
  • Huang, Yaowei
  • He, QingYan
  • Cui, Ningbo

Abstract

Understanding the characteristics of water use efficiency (WUE) and its controlling factors in the agricultural ecosystem can help us better understand the coupled process between water use and carbon assimilation spatially. The characteristics of the leaf- and ecosystem-level water, carbon and WUE variations as well as their drivers in a kiwifruit orchard were systematically analyzed during the growing seasons of 2018–2020. The results showed that leaf transpiration rate (Tr), net photosynthetic rate (Pn) and instantaneous WUE (WUEi) in exposed leaves were 2.25–2.77, 8.32–9.44 and 2.53–3.77 times higher than those of shaded leaves. Tr and Pn were significantly affected by photosynthetic active radiation (PAR) and stomatal conductance (gs). Air temperature (Ta), leaf water vapor deficit (VPDl) and stomatal conductance (gs) affected WUEi through leaf water consumption, while PAR affected WUEi through leaf photosynthetic process. Averaged evapotranspiration (ET), gross primary productivity (GPP) and ecosystem WUE (eWUE) were 551.30 ± 75.92 kg H2O m-2, 1475.37.59 ± 201.25 g C m-2 and 2.68 ± 0.04 g C kg−1 H2O, respectively. Global total radiation (Rg), Ta and VPD were the dominant climatic factors affecting ET and GPP, while Rg and wind speed (U2) were significantly correlated with eWUE (p < 0.01). WUEu, defined as the ratio of Pn·VPDl0.5 and Tr, could be considered as an effective indicator quantifying the coupled relationship between Tr and Pn·VPDl0.5 at the leaf scale. The coupled relationship between ET and GPP was strengthened after incorporating the effect of VPD on GPP due to reduced time lags among GPP, ET and VPD at the ecosystem scale. Rg, Ta, U2 and VPD contributed to greater effects through ET than that of GPP on eWUE, while the differences between them were reduced after incorporating VPD on GPP, which may be the source of the dependence of iWUE (GPP·VPD/ET) and uWUE (GPP·VPD/ET) on environmental conditions. This study enriches the scarce literature on what drives multi-scale water and carbon in a humid orchard and contributes to improving the understanding of the coupled process of water and carbon incorporating the effect of VPD at leaf and ecosystem scales.

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  • Jiang, Shouzheng & Zhao, Lu & Liang, Chuan & Hu, Xiaotao & Yaosheng, Wang & Gong, Daozhi & Zheng, Shunsheng & Huang, Yaowei & He, QingYan & Cui, Ningbo, 2022. "Leaf- and ecosystem-scale water use efficiency and their controlling factors of a kiwifruit orchard in the humid region of Southwest China," Agricultural Water Management, Elsevier, vol. 260(C).
  • Handle: RePEc:eee:agiwat:v:260:y:2022:i:c:s0378377421006065
    DOI: 10.1016/j.agwat.2021.107329
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    1. Zheng, Shunsheng & Cui, Ningbo & Gong, Daozhi & Wang, Yaosheng & Hu, Xiaotao & Feng, Yu & Zhang, Yixuan, 2020. "Relationship between stable carbon isotope discrimination and water use efficiency under deficit drip irrigation of kiwifruit in the humid areas of South China," Agricultural Water Management, Elsevier, vol. 240(C).
    2. Gong, Daozhi & Mei, Xurong & Hao, Weiping & Wang, Hanbo & Caylor, Kelly K., 2017. "Comparison of multi-level water use efficiency between plastic film partially mulched and non-mulched croplands at eastern Loess Plateau of China," Agricultural Water Management, Elsevier, vol. 179(C), pages 215-226.
    3. Wang, Yu & Zhou, Li & Jia, Qingyu & Yu, Wenying, 2017. "Water use efficiency of a rice paddy field in Liaohe Delta, Northeast China," Agricultural Water Management, Elsevier, vol. 187(C), pages 222-231.
    4. Ding, Risheng & Kang, Shaozhong & Zhang, Yanqun & Hao, Xinmei & Tong, Ling & Du, Taisheng, 2013. "Partitioning evapotranspiration into soil evaporation and transpiration using a modified dual crop coefficient model in irrigated maize field with ground-mulching," Agricultural Water Management, Elsevier, vol. 127(C), pages 85-96.
    5. Zheng, Jing & Fan, Junliang & Zhang, Fucang & Wu, Lifeng & Zou, Yufeng & Zhuang, Qianlai, 2021. "Estimation of rainfed maize transpiration under various mulching methods using modified Jarvis-Stewart model and hybrid support vector machine model with whale optimization algorithm," Agricultural Water Management, Elsevier, vol. 249(C).
    6. Campoy, Jaime & Campos, Isidro & Plaza, Carmen & Calera, María & Jiménez, Nuria & Bodas, Vicente & Calera, Alfonso, 2019. "Water use efficiency and light use efficiency in garlic using a remote sensing-based approach," Agricultural Water Management, Elsevier, vol. 219(C), pages 40-48.
    7. Li, Sien & Kang, Shaozhong & Zhang, Lu & Du, Taisheng & Tong, Ling & Ding, Risheng & Guo, Weihua & Zhao, Peng & Chen, Xia & Xiao, Huan, 2015. "Ecosystem water use efficiency for a sparse vineyard in arid northwest China," Agricultural Water Management, Elsevier, vol. 148(C), pages 24-33.
    8. Fan, Junliang & Zheng, Jing & Wu, Lifeng & Zhang, Fucang, 2021. "Estimation of daily maize transpiration using support vector machines, extreme gradient boosting, artificial and deep neural networks models," Agricultural Water Management, Elsevier, vol. 245(C).
    9. Gao, Lei & Zhao, Peng & Kang, Shaozhong & Li, Sien & Tong, Ling & Ding, Risheng & Lu, Hongna, 2019. "Surface soil water content dominates the difference between ecosystem and canopy water use efficiency in a sparse vineyard," Agricultural Water Management, Elsevier, vol. 226(C).
    10. Anapalli, Saseendran S. & Fisher, Daniel K. & Reddy, Krishna N. & Rajan, Nithya & Pinnamaneni, Srinivasa Rao, 2019. "Modeling evapotranspiration for irrigation water management in a humid climate," Agricultural Water Management, Elsevier, vol. 225(C).
    11. Zhou, Li & Wang, Yu & Jia, Qingyu & Li, Rongping & Zhou, Mengzi & Zhou, Guangsheng, 2019. "Evapotranspiration over a rainfed maize field in northeast China: How are relationships between the environment and terrestrial evapotranspiration mediated by leaf area?," Agricultural Water Management, Elsevier, vol. 221(C), pages 538-546.
    12. Medrano, Hipólito & Pou, Alicia & Tomás, Magdalena & Martorell, Sebastià & Gulias, Javier & Flexas, Jaume & Escalona, José M., 2012. "Average daily light interception determines leaf water use efficiency among different canopy locations in grapevine," Agricultural Water Management, Elsevier, vol. 114(C), pages 4-10.
    13. Anapalli, Saseendran S. & Fisher, Daniel K. & Pinnamaneni, Srinivasa Rao & Reddy, Krishna N., 2020. "Quantifying evapotranspiration and crop coefficients for cotton (Gossypium hirsutum L.) using an eddy covariance approach," Agricultural Water Management, Elsevier, vol. 233(C).
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    2. Ouyang, Lei & Lu, Longwei & Wang, Chunlin & Li, Yanqiong & Wang, Jingyi & Zhao, Xiuhua & Gao, Lei & Zhu, Liwei & Ni, Guangyan & Zhao, Ping, 2022. "A 14-year experiment emphasizes the important role of heat factors in regulating tree transpiration, growth, and water use efficiency of Schima superba in South China," Agricultural Water Management, Elsevier, vol. 273(C).
    3. Xing, Wanqiu & Yang, Lilin & Wang, Weiguang & Yu, Zhongbo & Shao, Quanxi & Xu, Shiqin & Fu, Jianyu, 2023. "Environmental controls on carbon and water fluxes of a wheat-maize rotation cropland over the Huaibei Plain of China," Agricultural Water Management, Elsevier, vol. 283(C).

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