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Combining sap flow measurements and modelling to assess water needs in an oasis farmland shelterbelt of Populus simonii Carr in Northwest China

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  • Fu, Shuai
  • Sun, Lin
  • Luo, Yi

Abstract

Farmland shelterbelts provide an ecological protection screen for an oasis but exhibit high mortality in the face of water shortage. It is necessary to understand farmland shelterbelt tree transpiration under different levels of water stress and stand ages for proper management. Sap flux measurement techniques and models are among the most useful method to detect water stress and to evaluate plant water consumption. The usefulness of both methods decreases, however, when applied to species, such as Populus simonii Carr, that have an outstanding tolerance to drought and a remarkable capacity to take up water from drying soils. Our hypothesis is that analysis using simultaneous measurements of sap flow and models in the same trees is useful for assessing the irrigation needs in farmland shelterbelts. To test our hypothesis, we analysed the relationships between canopy transpiration, canopy conductance, relative extractable water and atmospheric factors in a farmland shelterbelt and evaluated the effectiveness of the model. Measurements were made during one growing season. The time courses of sap flow measured and modelled on days of contrasting weather and soil water conditions were analysed to evaluate the usefulness of the method to assess the crop water needs. We calculated the daily tree water consumption from sap flow measurements and the parameterized modified Jarvis-Stewart model, and we evaluated the model’s usefulness to assess the final water needs under water stress and stand ages for farmland shelterbelt irrigation. The transpiration decreased as the soil drought increased, and it increased as the atmospheric drought increased. The time course of the water needs showed that the occurrence of water stress in the farmland shelterbelt trees had a large impact on their water consumption, which increased as the water stress decreased, following the equation y=1/[1+e−60.67×(REWx−0.402)]. The simultaneous use of modelling and tree structural data increased the reliability of assessing water needs from youth to maturity. A similar analysis with the water consumption values, from which stand age values were derived, showed that water needs increased with the tree age following the equation y=847−844/[1+(x/87.9)1.9]. We conclude that compared to the use of sap flow records alone, the simultaneous use of sap flow records and model values provides more detailed information to assess water needs in a farmland shelterbelt, which has an important significance for farmland shelterbelt protection.

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  • Fu, Shuai & Sun, Lin & Luo, Yi, 2016. "Combining sap flow measurements and modelling to assess water needs in an oasis farmland shelterbelt of Populus simonii Carr in Northwest China," Agricultural Water Management, Elsevier, vol. 177(C), pages 172-180.
    • Handle: RePEc:eee:agiwat:v:177:y:2016:i:c:p:172-180
    DOI: 10.1016/j.agwat.2016.07.015
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    1. William R. L. Anderegg & Jeffrey M. Kane & Leander D. L. Anderegg, 2013. "Consequences of widespread tree mortality triggered by drought and temperature stress," Nature Climate Change, Nature, vol. 3(1), pages 30-36, January.
    2. Xiaobin Dong & Yufang Zhang & Weijia Cui & Bin Xun & Baohua Yu & Sergio Ulgiati & Xinshi Zhang, 2011. "Emergy-Based Adjustment of the Agricultural Structure in a Low-Carbon Economy in Manas County of China," Energies, MDPI, vol. 4(9), pages 1-15, September.
    3. Kang, Yaohu & Wang, Ruoshui & Wan, Shuqin & Hu, Wei & Jiang, Shufang & Liu, Shiping, 2012. "Effects of different water levels on cotton growth and water use through drip irrigation in an arid region with saline ground water of Northwest China," Agricultural Water Management, Elsevier, vol. 109(C), pages 117-126.
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    1. Zihe, Liu & Guodong, Jia & Xinxiao, Yu & Weiwei, Lu & Libo, Sun & Yusong, Wang & Baheti, Zierdie, 2021. "Morphological trait as a determining factor for Populus simonii Carr. to survive from drought in semi-arid region," Agricultural Water Management, Elsevier, vol. 253(C).
    2. Xue, Bing & Jiang, Yan & Wang, Qijie & Ma, Bin & Hou, Zhen’an & Liang, Xue & Cui, Yirui & Li, Fangfang, 2024. "Seasonal transpiration dynamics and water use strategy of a farmland shelterbelt in Gurbantunggut Desert oasis, northwestern China," Agricultural Water Management, Elsevier, vol. 295(C).
    3. Venturin, Afonso Zucolotto & Guimarães, Claudinei Martins & Sousa, Elias Fernandes de & Machado Filho, José Altino & Rodrigues, Weverton Pereira & Serrazine, Ícaro de Araujo & Bressan-Smith, Ricardo &, 2020. "Using a crop water stress index based on a sap flow method to estimate water status in conilon coffee plants," Agricultural Water Management, Elsevier, vol. 241(C).
    4. Xing, Liwen & Zhao, Lu & Cui, Ningbo & Liu, Chunwei & Guo, Li & Du, Taisheng & Wu, Zongjun & Gong, Daozhi & Jiang, Shouzheng, 2023. "Apple tree transpiration estimated using the Penman-Monteith model integrated with optimized jarvis model," Agricultural Water Management, Elsevier, vol. 276(C).
    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. Tianjiao, Feng & Dong, Wang & Ruoshui, Wang & Yixin, Wang & Zhiming, Xin & Fengmin, Luo & Yuan, Ma & Xing, Li & Huijie, Xiao & Caballero-Calvo, Andrés & Rodrigo-Comino, Jesús, 2022. "Spatial-temporal heterogeneity of environmental factors and ecosystem functions in farmland shelterbelt systems in desert oasis ecotones," Agricultural Water Management, Elsevier, vol. 271(C).
    7. Xue, Bing & Jiang, Yan & Wang, Qijie & Ma, Bin & Liang, Xue & Hou, Zhen’an & Li, Fangfang & Cui, Yirui, 2023. "Quantification of the water exchange in an agroforestry system under the background of film-mulching drip irrigation of farmland," Agricultural Water Management, Elsevier, vol. 290(C).
    8. Xing, Liwen & Cui, Ningbo & Liu, Chunwei & Guo, Li & Zhao, Long & Wu, Zongjun & Jiang, Xuelian & Wen, Shenglin & Zhao, Lu & Gong, Daozhi, 2024. "Estimating daily kiwifruit evapotranspiration under regulated deficit irrigation strategy using optimized surface resistance based model," Agricultural Water Management, Elsevier, vol. 295(C).
    9. Zheng, Jing & Fan, Junliang & Zhang, Fucang & Zhuang, Qianlai, 2021. "Evapotranspiration partitioning and water productivity of rainfed maize under contrasting mulching conditions in Northwest China," Agricultural Water Management, Elsevier, vol. 243(C).

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