IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v287y2023ics0378377423003219.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377423003219
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2023.108456?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. 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. 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).
    3. 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).
    4. Kuhn, Max, 2008. "Building Predictive Models in R Using the caret Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 28(i05).
    5. 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).
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    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)

    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. Zhang, Binbin & Su, Shunshun & Duan, Chenxiao & Feng, Hao & Chau, Henry Wai & He, Jianqiang & Li, Yi & Hill, Robert Lee & Wu, Shufang & Zou, Yufeng, 2022. "Effects of partial organic fertilizer replacement combined with rainwater collection system on soil water, nitrate-nitrogen and apple yield of rainfed apple orchard in the Loess Plateau of China: A 3-," Agricultural Water Management, Elsevier, vol. 260(C).
    2. Tao, Ze & Wang, Xia & Siddique, Kadambot H.M., 2023. "Evaluating the bias effects of rooting depth and cryogenic vacuum extraction to quantify root water uptake patterns in deep-rooted apple trees," Agricultural Water Management, Elsevier, vol. 289(C).
    3. Wu, Bingfang & Fu, Zhijun & Fu, Bojie & Yan, Changzhen & Zeng, Hongwei & Zhao, Wenwu, 2024. "Dynamics of land cover changes and driving forces in China’s drylands since the 1970 s," Land Use Policy, Elsevier, vol. 140(C).
    4. Xue, Shaobo & Ma, Bo & Wang, Chenguang & Li, Zhanbin, 2023. "Identifying key landscape pattern indices influencing the NPP: A case study of the upper and middle reaches of the Yellow River," Ecological Modelling, Elsevier, vol. 484(C).
    5. Prabal Das & D. A. Sachindra & Kironmala Chanda, 2022. "Machine Learning-Based Rainfall Forecasting with Multiple Non-Linear Feature Selection Algorithms," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 6043-6071, December.
    6. Jie Zhao & Ji Chen & Damien Beillouin & Hans Lambers & Yadong Yang & Pete Smith & Zhaohai Zeng & Jørgen E. Olesen & Huadong Zang, 2022. "Global systematic review with meta-analysis reveals yield advantage of legume-based rotations and its drivers," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    7. Piaopiao Chen & Agnès H. Michel & Jianzhi Zhang, 2022. "Transposon insertional mutagenesis of diverse yeast strains suggests coordinated gene essentiality polymorphisms," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    8. Paulo Infante & Gonçalo Jacinto & Anabela Afonso & Leonor Rego & Pedro Nogueira & Marcelo Silva & Vitor Nogueira & José Saias & Paulo Quaresma & Daniel Santos & Patrícia Góis & Paulo Rebelo Manuel, 2023. "Factors That Influence the Type of Road Traffic Accidents: A Case Study in a District of Portugal," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    9. Giuliani, Nicola & Aguzzoni, Agnese & Penna, Daniele & Tagliavini, Massimo, 2023. "Estimating uptake and internal transport dynamics of irrigation water in apple trees using deuterium-enriched water," Agricultural Water Management, Elsevier, vol. 289(C).
    10. Ephrem Habyarimana & Faheem S Baloch, 2021. "Machine learning models based on remote and proximal sensing as potential methods for in-season biomass yields prediction in commercial sorghum fields," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-23, March.
    11. Banks, Jonathan & Rabbani, Arif & Nadkarni, Kabir & Renaud, Evan, 2020. "Estimating parasitic loads related to brine production from a hot sedimentary aquifer geothermal project: A case study from the Clarke Lake gas field, British Columbia," Renewable Energy, Elsevier, vol. 153(C), pages 539-552.
    12. Alexander Wettstein & Gabriel Jenni & Ida Schneider & Fabienne Kühne & Martin grosse Holtforth & Roberto La Marca, 2023. "Predictors of Psychological Strain and Allostatic Load in Teachers: Examining the Long-Term Effects of Biopsychosocial Risk and Protective Factors Using a LASSO Regression Approach," IJERPH, MDPI, vol. 20(10), pages 1-20, May.
    13. Tang, Kayu & Parsons, David J. & Jude, Simon, 2019. "Comparison of automatic and guided learning for Bayesian networks to analyse pipe failures in the water distribution system," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 24-36.
    14. Daifeng Xiang & Gangsheng Wang & Jing Tian & Wanyu Li, 2023. "Global patterns and edaphic-climatic controls of soil carbon decomposition kinetics predicted from incubation experiments," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    15. Joel Podgorski & Oliver Kracht & Luis Araguas-Araguas & Stefan Terzer-Wassmuth & Jodie Miller & Ralf Straub & Rolf Kipfer & Michael Berg, 2024. "Groundwater vulnerability to pollution in Africa’s Sahel region," Nature Sustainability, Nature, vol. 7(5), pages 558-567, May.
    16. Zhang, Yongyong & Wu, Shaoxiong & Kang, Wenrong & Tian, Zihan, 2022. "Multiple sources characteristics of root water uptake of crop under oasis farmlands in hyper-arid regions," Agricultural Water Management, Elsevier, vol. 271(C).
    17. Bellotti, Anthony & Brigo, Damiano & Gambetti, Paolo & Vrins, Frédéric, 2021. "Forecasting recovery rates on non-performing loans with machine learning," International Journal of Forecasting, Elsevier, vol. 37(1), pages 428-444.
    18. Tranos, Emmanouil & Incera, Andre Carrascal & Willis, George, 2022. "Using the web to predict regional trade flows: data extraction, modelling, and validation," OSF Preprints 9bu5z, Center for Open Science.
    19. Štefan Lyócsa & Petra Vašaničová & Branka Hadji Misheva & Marko Dávid Vateha, 2022. "Default or profit scoring credit systems? Evidence from European and US peer-to-peer lending markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-21, December.
    20. Arjan S. Gosal & Janine A. McMahon & Katharine M. Bowgen & Catherine H. Hoppe & Guy Ziv, 2021. "Identifying and Mapping Groups of Protected Area Visitors by Environmental Awareness," Land, MDPI, vol. 10(6), pages 1-14, May.

    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:agiwat:v:287:y:2023:i:c:s0378377423003219. 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.elsevier.com/locate/agwat .

    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.