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Assessing spatiotemporally varied ecohydrological effects of apple orchards based on regional-scale estimation of tree distribution and ages

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  • Yang, Yi
  • Li, Bingbing
  • Shi, Peijun
  • Li, Zhi

Abstract

The forest ecohydrological processes change with time of tree plantation; however, it remains challenging to estimate tree ages at the regional scale. The objective of this study is to estimate the regional-scale apple tree distribution and ages, and further use it as a bridge to quantify the impacts of apple orchards on hydrological processes. Taking the Changwu County on the Loess Plateau of China as example, we first identified the spatial distribution and age structure of apple trees from 1995 to 2020 based on field investigation, remote sensing data and machine learning procedure, and then explored the spatiotemporally varied impacts of apple orchards on water balance through extrapolating the point-scale observation to the whole study area. The area and tree age of apple orchards were satisfactorily identified, with R2 values of 0.94 and 0.68, respectively. The area of apple orchards kept increasing, and its value in 2020 (17117 ha) was 2.5 times of that in 1995 (6842 ha). Young apple trees dominated the apple orchards during 1995–2000, while trees over 15 years old accounted for 72 % of the apple orchards in 2020. With the point-scale relations of tree ages to soil water balance, the regional-scale cumulative soil water consumed by the increasing apple orchards and old trees reached 129 GL by 2020, and the ratio of actual evapotranspiration to precipitation was 109 % when the apple tree was 22 years old. This study proposes a framework to estimate the regional-scale temporal changes in ecohydrological effects of vegetation using tree age as a bridge. The methods in this study can be referred by other studies, and the results can be used for sustainable management of water resources and agricultural production.

Suggested Citation

  • Yang, Yi & Li, Bingbing & Shi, Peijun & Li, Zhi, 2023. "Assessing spatiotemporally varied ecohydrological effects of apple orchards based on regional-scale estimation of tree distribution and ages," Agricultural Water Management, Elsevier, vol. 287(C).
    • Handle: RePEc:eee:agiwat:v:287:y:2023:i:c:s0378377423003219
    DOI: 10.1016/j.agwat.2023.108456
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    References listed on IDEAS

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    1. Ding, Wenbin & Wang, Fei & Dong, Yunyun & Jin, Kai & Cong, Chenyu & Han, Jianqiao & Ge, Wenyan, 2021. "Effects of rainwater harvesting system on soil moisture in rain-fed orchards on the Chinese Loess Plateau," Agricultural Water Management, Elsevier, vol. 243(C).
    2. Kuhn, Max, 2008. "Building Predictive Models in R Using the caret Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 28(i05).
    3. Di Wang, & Wang, Li, 2023. "Characteristics of soil evaporation at two stages of growth in apple orchards with different ages in a semi-humid region," Agricultural Water Management, Elsevier, vol. 280(C).
    4. Aguzzoni, A. & Engel, M. & Zanotelli, D. & Penna, D. & Comiti, F. & Tagliavini, M., 2022. "Water uptake dynamics in apple trees assessed by an isotope labeling approach," Agricultural Water Management, Elsevier, vol. 266(C).
    5. Dzikiti, S. & Volschenk, T. & Midgley, S.J.E & Lötze, E. & Taylor, N.J & Gush, M.B. & Ntshidi, Z. & Zirebwa, S.F & Doko, Q. & Schmeisser, M. & Jarmain, C. & Steyn, W.J & Pienaar, H.H., 2018. "Estimating the water requirements of high yielding and young apple orchards in the winter rainfall areas of South Africa using a dual source evapotranspiration model," Agricultural Water Management, Elsevier, vol. 208(C), pages 152-162.
    6. Xiaoming Feng & Bojie Fu & Shilong Piao & Shuai Wang & Philippe Ciais & Zhenzhong Zeng & Yihe Lü & Yuan Zeng & Yue Li & Xiaohui Jiang & Bingfang Wu, 2016. "Revegetation in China’s Loess Plateau is approaching sustainable water resource limits," Nature Climate Change, Nature, vol. 6(11), pages 1019-1022, November.
    7. Chi Chen & Taejin Park & Xuhui Wang & Shilong Piao & Baodong Xu & Rajiv K. Chaturvedi & Richard Fuchs & Victor Brovkin & Philippe Ciais & Rasmus Fensholt & Hans Tømmervik & Govindasamy Bala & Zaichun , 2019. "China and India lead in greening of the world through land-use management," Nature Sustainability, Nature, vol. 2(2), pages 122-129, February.
    8. Zheng, Chenghao & Wang, Ruoshui & Zhou, Xuan & Li, Chaonan & Dou, Xiaoyu, 2021. "Effects of mulch and irrigation regimes on water distribution and root competition in an apple–soybean intercropping system in Loess Plateau, China," Agricultural Water Management, Elsevier, vol. 246(C).
    9. Zhang, Binbin & Hu, Yajin & Hill, Robert Lee & Wu, Shufang & Song, Xiaolin, 2021. "Combined effects of biomaterial amendments and rainwater harvesting on soil moisture, structure and apple roots in a rainfed apple orchard on the Loess Plateau, China," Agricultural Water Management, Elsevier, vol. 248(C).
    10. Laura E. Condon & Adam L. Atchley & Reed M. Maxwell, 2020. "Evapotranspiration depletes groundwater under warming over the contiguous United States," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
    Full references (including those not matched with items on IDEAS)

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