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<p>Tropical rubber plantations follow a monsoon-paced phenology, yet increasing climate variability and recurrent Pestalotiopsis outbreaks have disrupted canopy dynamics and raised concerns about yield stability. This study advances four aims: (1) map long-term variability in Monthly Green Canopy Cover (MGCC) and disentangle seasonal and trend components; (2) quantify how climate, outbreaks, and clone identity shape MGCC; (3) characterize the spatiotemporal coupling between MGCC and latex yield; and (4) link Annual Green Canopy Cover (AGCC) to annual yield. MGCC was derived from harmonized Landsat and Sentinel-2 imagery (2017 to 2024). Seasonal-trend decomposition isolated intra-annual cycles and longer-term shifts, and a Seasonal Mann–Kendall test with Sen’s slope identified significant canopy trajectories. A linear mixed-effects model (block as a random effect) assessed effects of solar exposure, air temperature, rainfall, outbreak status, and clone type on MGCC. Cross-correlation functions quantified MGCC–yield lags, and annual models related AGCC to year-end production. Results show that post-outbreak canopy recovery has weakened since 2018, yielding persistent losses in multiple blocks. Higher solar exposure, warmer temperatures, and heavier rainfall accelerated canopy decline, while mixed-clone plantings buffered losses. Pestalotiopsis effects lingered for ~ 1–2&#xa0;months, and MGCC gains typically preceded higher latex yields after ~ 1–2&#xa0;months in mature stands. At the annual scale, AGCC was positively associated with production, with temperature conditioning the strength of this linkage. By integrating satellite, climate, and genotype information, the approach delivers climate-conditioned early-warning indicators and management windows for post-defoliation recovery, supporting clone deployment, tap-schedule adjustments, and targeted interventions to enhance plantation resilience.</p>

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Spatiotemporal green canopy dynamics and yield resilience under climate and disease stress in rubber plantations

  • 期刊论文

  • 发表日期：

    2025年11月20日

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  • Masita Dwi Mandini Manessa,
  • Farida Ayu,
  • Anisya Feby Efriana,
  • Fajar Dwi Pamungkas,
  • Charlos Togi Stevanus,
  • Tri Rapani Febbiyanti,
  • Iqbal Putut Ash Shidiq,
  • Rokhmatuloh Rokhmatulloh,
  • Supriatna Supriatna,
  • Retno Lestari,
  • Kiwamu Kase,
  • Minami Matsui

摘要

Tropical rubber plantations follow a monsoon-paced phenology, yet increasing climate variability and recurrent Pestalotiopsis outbreaks have disrupted canopy dynamics and raised concerns about yield stability. This study advances four aims: (1) map long-term variability in Monthly Green Canopy Cover (MGCC) and disentangle seasonal and trend components; (2) quantify how climate, outbreaks, and clone identity shape MGCC; (3) characterize the spatiotemporal coupling between MGCC and latex yield; and (4) link Annual Green Canopy Cover (AGCC) to annual yield. MGCC was derived from harmonized Landsat and Sentinel-2 imagery (2017 to 2024). Seasonal-trend decomposition isolated intra-annual cycles and longer-term shifts, and a Seasonal Mann–Kendall test with Sen’s slope identified significant canopy trajectories. A linear mixed-effects model (block as a random effect) assessed effects of solar exposure, air temperature, rainfall, outbreak status, and clone type on MGCC. Cross-correlation functions quantified MGCC–yield lags, and annual models related AGCC to year-end production. Results show that post-outbreak canopy recovery has weakened since 2018, yielding persistent losses in multiple blocks. Higher solar exposure, warmer temperatures, and heavier rainfall accelerated canopy decline, while mixed-clone plantings buffered losses. Pestalotiopsis effects lingered for ~ 1–2 months, and MGCC gains typically preceded higher latex yields after ~ 1–2 months in mature stands. At the annual scale, AGCC was positively associated with production, with temperature conditioning the strength of this linkage. By integrating satellite, climate, and genotype information, the approach delivers climate-conditioned early-warning indicators and management windows for post-defoliation recovery, supporting clone deployment, tap-schedule adjustments, and targeted interventions to enhance plantation resilience.