文献类型： 外文期刊

作者： Kong, Jiayan ¹ ; Wu, Lan ¹ ; Cao, Jiaxin ¹ ; Cui, Wei ² ; Nie, Tangzhe ³ ; An, Yinghe ¹ ; Sun, Zhongyi ¹ ;

作者机构： 1.Hainan Univ, Ecol & Environm Coll, Haikou 570208, Peoples R China

2.Natl Forestry & Grassland Adm, Dev Res Ctr, Beijing 100714, Peoples R China

3.Northeast Agr Univ, Minist Agr & Rural Affairs, Key Lab Effect Utilizat Agr Water Resources, Harbin 150030, Peoples R China

4.Heilongjiang Univ, Sch Water Conservancy & Elect Power, Harbin 150080, Peoples R China

5.Chinese Acad Trop Agr Sci, Minist Agr, Rubber Res Inst, Danzhou Invest & Expt Stn Trop Crops, Danzhou 571737, Peoples R China

6.Sanya Trop Ecosyst Carbon Source & Sink Field Sci, Sanya 572000, Peoples R China

关键词： structural equation model; Bayesian-optimized least-squares boosted trees ensemble; climate change; Hainan Island

期刊名称：AGRICULTURE-BASEL （ 影响因子：3.6； 五年影响因子：3.6 ）

ISSN：

年卷期： 2024 年 14 卷 4 期

页码：

收录情况： SCI

摘要： Meteorological conditions play a crucial role in driving outbreaks of rubber tree powdery mildew (RTPM). As the climate warms and techniques improve, rubber cultivation is expanding to higher latitudes, and the changing climate increases the RTPM risk. Rubber plantations on Hainan Island, situated on the northern margin of the tropics, have been selected as a case study to explore the meteorological mechanisms behind RTPM outbreaks quantitatively using a structural equation model, and project current and future RTPM outbreak patterns under different climate change scenarios by building predictive models based on data-driven algorithms. The following results were obtained: (1) days with an average temperature above 20 degrees C and days with light rain were identified as key meteorological drivers of RTPM using structural equation modeling (R2 = 0.63); (2) the Bayesian-optimized least-squares boosted trees ensemble model accurately predicted the interannual variability in the historical RTPM disease index (R2 = 0.79); (3) currently, due to the increased area of rubber plantations in the central region of Hainan, there is a higher risk of RTPM; and (4) under future climate scenarios, RTPM shows a decreasing trend (at a moderate level), with oscillating and sporadic outbreaks primarily observed in the central and northwest regions. We attribute this to the projected warming and drying trends that are unfavorable for RTPM. Our study is expected to enhance the understanding of the impact of climate change on RTPM, provide a prediction tool, and underscore the significance of the climate-aware production and management of rubber.