Mao Xinjie, Zheng Huisen, Luo Guihua, Liao Songkai, Wang Ronghao, Tang Ming, Chen Hui
Guangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory of Conservation and Utilization of Subtropical Agro-Bioresources, College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, China.
Front Plant Sci. 2024 Oct 11;15:1443134. doi: 10.3389/fpls.2024.1443134. eCollection 2024.
has become one of the most widely planted species in tropical and subtropical regions in China, with important economic, ecological, and social values. However, it is currently unclear how climate change will affect different species. Therefore, it is urgent to investigate the potential distribution and dynamics of under current and future climate scenarios. In this study, we analyzed the potential distribution patterns of the three main species (, , and ) under current and future climatic conditions (2041-2060 and 2061-2080) using the optimized MaxEnt model, which integrates a variety of environmental data including climate, topography, soil, and human influence. We also identified the main factors affecting the potential distributions of the three main species. The model indicated that exhibited heightened sensitivity to the mean temperature of the coldest quarter (7.0-20.0 °C) and annual mean temperature (11.9-24.2 °C), whereas displayed heightened sensitivity to precipitation of the warmest quarter (272-1694 mm) and annual precipitation (812-2624 mm). Conversely, demonstrated heightened sensitivity to annual mean temperature (12.7-24.5 °C) and temperature seasonality (63.8-598.9). Under the current climate, had the widest suitable distribution area (124.91 × 10 km²), followed by (124.89 × 10 km²) and (119.81 × 10 km²). Under future climate change scenarios, the suitable ranges of , and will continue to expand. This study highlights the importance of climate change in distribution and provides quantified potential distribution maps for three species under current and future climate conditions in China. This research offers valuable scientific insights pertinent to the management and rational site selection for plantations.
已成为中国热带和亚热带地区种植最广泛的物种之一,具有重要的经济、生态和社会价值。然而,目前尚不清楚气候变化将如何影响不同物种。因此,迫切需要研究在当前和未来气候情景下其潜在分布和动态。在本研究中,我们使用优化的MaxEnt模型分析了三种主要物种(此处物种名称缺失)在当前和未来气候条件下(2041 - 2060年和2061 - 2080年)的潜在分布模式,该模型整合了包括气候、地形、土壤和人类影响等多种环境数据。我们还确定了影响三种主要物种潜在分布的主要因素。模型表明,(此处物种名称缺失)对最冷月平均温度(7.0 - 20.0°C)和年平均温度(11.9 - 24.2°C)表现出更高的敏感性,而(此处物种名称缺失)对最热季降水量(272 - 1694毫米)和年降水量(812 - 2624毫米)表现出更高的敏感性。相反,(此处物种名称缺失)对年平均温度(12.7 - 24.5°C)和温度季节性(63.8 - 598.9)表现出更高的敏感性。在当前气候下,(此处物种名称缺失)具有最广的适宜分布面积(124.91×10平方千米),其次是(此处物种名称缺失)(124.89×10平方千米)和(此处物种名称缺失)(119.81×10平方千米)。在未来气候变化情景下,(此处物种名称缺失)、(此处物种名称缺失)和(此处物种名称缺失)的适宜范围将继续扩大。本研究强调了气候变化对(此处物种名称缺失)分布 的重要性,并提供了中国当前和未来气候条件下三种(此处物种名称缺失)物种的量化潜在分布图。这项研究为(此处物种名称缺失)种植园的管理和合理选址提供了有价值的科学见解。