Rubber latex yield is affected by interactions between antecedent temperature, rubber phenology, and powdery mildew disease

Zhai, De‐Li; Thaler, Philippe; Worthy, Fiona R.; Xu, Jianchu

doi:10.1007/s00484-023-02515-2

Cited by 4 publications

(3 citation statements)

References 38 publications

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“…The region’s topography is characterized by significant variations in elevation, ranging from 200 to 1200 meters above sea level. The prevalent mean annual temperature falls between 19.4 and 27.6°C, whereas annual precipitation oscillates between 1200 to 1900 millimeters ( Zhai et al., 2019 ; Zhai et al., 2023 ). The regional climate demonstrates distinct seasonality, encompassing a rainy season (May to October), cool-dry season (November to February), hot-dry season (March to April) each year ( Lin et al., 2018 ; Lin et al., 2022 ; Zhai and Xu, 2022 ).…”

Section: Methodsmentioning

confidence: 99%

“…Planting density and stand age are impact phenology, with rubber mix spacing ranging from 4 to 12 m (Lin et al, 2022). Disease outbreaks, like springtime powdery mildew, can lead to substantial leaf shedding and a delay in SOS (Guyot et al, 2001;Kou et al, 2015;Zhai et al, 2019;Zhai et al, 2023). Furthermore, soil nutrient availability plays a role, the soil stores nutrients from decomposing leaves for use by the trees during the refoliation periods (Li Y. et al, 2016).…”

Section: Spatial and Temporal Heterogeneity Of Rubber Phenologymentioning

confidence: 99%

“…Moreover, increased sunlight hours during the rainy seasons (May-October) and cold dry seasons (November-February) promotes the advancement of both SOS and EOS ( Liyanage et al., 2019 ). The advent of cold stress, notably temperatures below 10°C, predominantly triggers rubber tree defoliation ( Lin et al., 2018 ; Zhai et al., 2023 ).…”

Section: Introductionmentioning

confidence: 99%

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Dry season temperature and rainy season precipitation significantly affect the spatio-temporal pattern of rubber plantation phenology in Yunnan province

Lai,

Chen,

Yin

et al. 2023

Front. Plant Sci.

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The ongoing global warming trajectory poses extensive challenges to plant ecosystems, with rubber plantations particularly vulnerable due to their influence on not only the longevity of the growth cycle and rubber yield, but also the complex interplay of carbon, water, and energy exchanges between the forest canopy and atmosphere. However, the response mechanism of phenology in rubber plantations to climate change remains unclear. This study concentrates on sub-optimal environment rubber plantations in Yunnan province, Southwest China. Utilizing the Google Earth Engine (GEE) cloud platform, multi-source remote sensing images were synthesized at 8-day intervals with a spatial resolution of 30-meters. The Normalized Difference Vegetation Index (NDVI) time series was reconstructed using the Savitzky-Golay (S-G) filter, coupled with the application of the seasonal amplitude method to extract three crucial phenological indicators, namely the start of the growing season (SOS), the end of the growing season (EOS), and the length of the growing season (LOS). Linear regression method, Pearson correlation coefficient, multiple stepwise regression analysis were used to extract of the phenology trend and find the relationship between SOS, EOS and climate factors. The findings demonstrated that 1) the phenology of rubber plantations has undergone dynamic changes over the past two decades. Specifically, the SOS advanced by 9.4 days per decade (R2 = 0.42, p< 0.01), whereas the EOS was delayed by 3.8 days per decade (R2 = 0.35, p< 0.01). Additionally, the LOS was extended by 13.2 days per decade (R2 = 0.55, p< 0.01); 2) rubber phenology demonstrated a notable sensitivity to temperature fluctuations during the dry season and precipitation patterns during the rainy season. The SOS advanced 2.0 days (r =−0.19, p< 0.01) and the EOS advanced 2.8 days (r =−0.35, p< 0.01) for every 1°C increase in the cool-dry season. Whereas a 100 mm increase in rainy season precipitation caused the SOS to be delayed by 2.0 days (r = 0.24, p< 0.01), a 100 mm increase in hot-dry season precipitation caused the EOS to be advanced by 7.0 days (r =-0.28, p< 0.01); 3) rubber phenology displayed a legacy effect of preseason climate variations. Changes in temperature during the fourth preseason month and precipitation during the fourth and eleventh preseason months are predominantly responsible for the variation in SOS. Meanwhile, temperature changes during the second, fourth, and ninth preseason months are primarily responsible for the variation in EOS. The study aims to enhance our understanding of how rubber plantations respond to climate change in sub-optimal environments and provide valuable insights for sustainable rubber production management in the face of changing environmental conditions.

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