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Post-drought productivity resilience in rubber plantations: Critical thresholds of water supply scheme and effects of water supply timing

Author

Listed:
  • Zhang, Runqing
  • Wu, Zhixiang
  • Zheng, Shuwen
  • Chen, Yao
  • Kato, Tomomichi
  • Tan, Zhenghong
  • Wu, Lan
  • Sun, Zhongyi

Abstract

Drought is a critical limiting factor for rubber plantations (RB) productivity. While numerous studies have documented drought impacts, scientific findings on post-drought productivity resilience remain scarce, particularly regarding water supplementation strategies to regulate recovery pathways. Therefore, we investigated gross primary productivity (GPP) resilience in RB at the northern tropical margin using a calibrated SEIB-DGVM validated with eddy covariance flux data, through multiple post-drought water supply scenarios designed based on ecological water demand (EWD), with variations in intensity, timing, and duration. The results exhibited that GPP resilience positively correlates with both percentage and gross quantity of post-drought water supply. Extending the distribution duration proves more advantageous when the gross water supply quantity is fixed, particularly ensuring adequate coverage through the first post-drought dry season, which determines whether the RB ecosystem GPP resilience will be compromised again. Drought termination timing influences post-drought GPP resilience. RB ecosystems exhibited superior GPP resilience when drought persisted until the peak-rainy season than when they ended in the early rainy season, despite equivalent drought intensities across conditions. RB ecosystems experiencing drought termination during early rainy season require sustained moisture availability for seven consecutive months post-drought, with water input (precipitation and supplemental irrigation) reaching 40 % of EWD, to achieve optimal post-drought GPP recovery. Conversely, RBs experiencing drought until the peak rainy season require a 9-month moisture support period; however, they have a lower cumulative water threshold of only 20 % of annual EWD. Our study provides a scientific basis for irrigation management strategies to enhance RB resilience under climate change conditions.

Suggested Citation

  • Zhang, Runqing & Wu, Zhixiang & Zheng, Shuwen & Chen, Yao & Kato, Tomomichi & Tan, Zhenghong & Wu, Lan & Sun, Zhongyi, 2025. "Post-drought productivity resilience in rubber plantations: Critical thresholds of water supply scheme and effects of water supply timing," Agricultural Water Management, Elsevier, vol. 322(C).
    • Handle: RePEc:eee:agiwat:v:322:y:2025:i:c:s0378377425007280
    DOI: 10.1016/j.agwat.2025.110014
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    1. Chonggang Xu & Nate G. McDowell & Rosie A. Fisher & Liang Wei & Sanna Sevanto & Bradley O. Christoffersen & Ensheng Weng & Richard S. Middleton, 2019. "Increasing impacts of extreme droughts on vegetation productivity under climate change," Nature Climate Change, Nature, vol. 9(12), pages 948-953, December.
    2. Chen, Yanan & Wang, Ying & Wu, Chaoyang & Rosa Ferraz Jardim, Alexandre Maniçoba da & Fang, Meihong & Yao, Li & Liu, Guihua & Xu, Qiuyi & Chen, Lintao & Tang, Xuguang, 2025. "Drought-induced stress on rainfed and irrigated agriculture: Insights from multi-source satellite-derived ecological indicators," Agricultural Water Management, Elsevier, vol. 307(C).
    3. Gu, Ruidan & He, Huaxiang & Chen, He & Tian, Jiake, 2025. "Study on hierarchical regulation of crop irrigation threshold under severe drought conditions," Agricultural Water Management, Elsevier, vol. 307(C).
    4. Hao Xu & Xu Lian & Ingrid J. Slette & Hui Yang & Yuan Zhang & Anping Chen & Shilong Piao, 2022. "Rising ecosystem water demand exacerbates the lengthening of tropical dry seasons," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    5. Sato, Hisashi & Itoh, Akihiko & Kohyama, Takashi, 2007. "SEIB–DGVM: A new Dynamic Global Vegetation Model using a spatially explicit individual-based approach," Ecological Modelling, Elsevier, vol. 200(3), pages 279-307.
    6. Junyi Liu & Zhixiang Wu & Siqi Yang & Chuan Yang, 2022. "Sensitivity Analysis of Biome-BGC for Gross Primary Production of a Rubber Plantation Ecosystem: A Case Study of Hainan Island, China," IJERPH, MDPI, vol. 19(21), pages 1-13, October.
    7. Mohsen Sharafatmandrad & Azam Khosravi Mashizi, 2021. "Temporal and Spatial Assessment of Supply and Demand of the Water-yield Ecosystem Service for Water Scarcity Management in Arid to Semi-arid Ecosystems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 63-82, January.
    8. Yunxia Wang & Peter M. Hollingsworth & Deli Zhai & Christopher D. West & Jonathan M. H. Green & Huafang Chen & Kaspar Hurni & Yufang Su & Eleanor Warren-Thomas & Jianchu Xu & Antje Ahrends, 2023. "High-resolution maps show that rubber causes substantial deforestation," Nature, Nature, vol. 623(7986), pages 340-346, November.
    9. Felicia Chiang & Omid Mazdiyasni & Amir AghaKouchak, 2021. "Evidence of anthropogenic impacts on global drought frequency, duration, and intensity," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    10. William R. L. Anderegg & Anna T. Trugman & Grayson Badgley & Alexandra G. Konings & John Shaw, 2020. "Divergent forest sensitivity to repeated extreme droughts," Nature Climate Change, Nature, vol. 10(12), pages 1091-1095, December.
    11. Shuli Chen & Scott C. Stark & Antonio Donato Nobre & Luz Adriana Cuartas & Diogo Jesus Amore & Natalia Restrepo-Coupe & Marielle N. Smith & Rutuja Chitra-Tarak & Hongseok Ko & Bruce W. Nelson & Scott , 2024. "Author Correction: Amazon forest biogeography predicts resilience and vulnerability to drought," Nature, Nature, vol. 632(8027), pages 30-30, August.
    12. Nam, Won-Ho & Hayes, Michael J. & Svoboda, Mark D. & Tadesse, Tsegaye & Wilhite, Donald A., 2015. "Drought hazard assessment in the context of climate change for South Korea," Agricultural Water Management, Elsevier, vol. 160(C), pages 106-117.
    13. Shuli Chen & Scott C. Stark & Antonio Donato Nobre & Luz Adriana Cuartas & Diogo Jesus Amore & Natalia Restrepo-Coupe & Marielle N. Smith & Rutuja Chitra-Tarak & Hongseok Ko & Bruce W. Nelson & Scott , 2024. "Amazon forest biogeography predicts resilience and vulnerability to drought," Nature, Nature, vol. 631(8019), pages 111-117, July.
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