气候变化下穿心莲在我国的适生区预测分析

    Prediction and Analysis of Suitable Habitats for Andrographis paniculata in China Under Climate Change

    • 摘要:
      目的 预测穿心莲在我国的潜在适生区,明确气候变化对其分布动态的影响,为穿心莲药用资源人工引种、规范化栽培、产业布局优化及可持续开发利用提供科学理论依据,同时应对全球气候变暖背景下药用植物资源分布格局变化的挑战。
      方法 通过全球生物多样性网络(GBIF)、中国数字植物标本馆等数据库及文献检索,获取我国穿心莲地理分布数据,经ENMtools工具剔除重复、异常及坐标误差较大的点位后,保留89个有效分布点;选取气候(如年平均温度、最湿季平均温度)、地形(海拔、坡度)、土壤(pH、总钾)及距水体距离等共50个初始环境因子,通过相关性分析及MaxEnt模型贡献率筛选,最终确定12个关键环境因子;利用R语言ENMeval包优化模型参数,确定RM=2.5、FC=L+Q为最优组合,进而基于优化后的MaxEnt模型,结合ArcGIS空间分析技术,模拟4个不同时期阶段(1970—2000、2021—2040、2041—2060、2061—2080年)SSP245(中低排放)、SSP585(高排放)两种气候情景下穿心莲的潜在适生区域,并划分为高适生区、中适生区、低适生区及非适生区4个等级。
      结果 年平均温度(贡献率45.5%)、距水体距离(贡献率42.8%)、最湿季平均温度(贡献率3.5%)、温度季节性(贡献率1.1%)是影响穿心莲分布的主导环境因子。过往气候条件下,我国潜在穿心莲适生区总面积为255.10×104 km2(占我国陆地面积26.59%),其中高适生区面积31.60×104 km2(占3.29%),集中于华南地区(广东中南部、广西中南部、福建南部、台湾沿海及海南全域)和云南南部;中适生区面积52.21×104 km2(占5.44%),扩展至广东北部、广西北部、湖南南部、贵州东南部、江西南部及四川东南部;低适生区面积171.28×104 km2(占17.86%),涵盖湖南大部、江西大部、江苏、浙江、安徽等地。未来气候情景下,穿心莲适生区总面积呈扩张趋势,SSP245情景下适生区总面积呈“波动扩张”,SSP585情景下扩张更显著。两种气候情景下,穿心莲高适生区均以华南地区为核心,中适生区向华东、华中地区延伸,适生区质心始终位于贵州、重庆范围内(过往质心为重庆29.775° N、107.558° E),整体呈先向低纬度、再向高纬度迁移趋势。
      结论 气候变化可显著推动穿心莲适生区扩张,且高排放情景下扩张效应更突出,研究结果可为穿心莲核心适生区种质资源保护、潜力区引种规划、栽培技术优化及产业可持续发展提供重要依据。

       

      Abstract:
      Objective To predict the potential suitable habitats of Andrographis paniculata in China, clarify the impact of climate change on its distribution dynamics, and provide a scientific theoretical basis for the artificial introduction, standardized cultivation, industrial layout optimization, and sustainable development and utilization of A. paniculata medicinal resources, while addressing the challenges posed by the changing distribution patterns of medicinal plant resources under the background of global warming.
      Method Geographical distribution data of A. paniculata in China were obtained through databases including the Global Biodiversity Information Facility (GBIF), Chinese Virtual Herbarium and literature retrieval. After eliminating duplicate, abnormal, and high-coordinate-error points using the ENMtools tool, 89 valid distribution points were retained; a total of 50 initial environmental factors were selected, covering climate (e.g., annual mean temperature, mean temperature of the wettest quarter), topography (elevation, slope), soil (pH, total potassium), and distance to water bodies, through correlation analysis and contribution rate screening of the MaxEnt model, 12 key environmental factors were finally determined; the ENMeval package in R was used to optimize the model parameters, and the optimal combination was identified as RM=2.5 and FC=L+Q, and further based on the optimized MaxEnt model and combined with ArcGIS spatial analysis technology, the potential suitable habitats of A. paniculata under four different time periods (1970—2000, 2021—2040, 2041—2060, and 2061—2080) climate scenarios (SSP245: medium-low emission; SSP585: high emission) were simulated, and divided into four grades: highly suitable area, moderately suitable area, lowly suitable area, and non-suitable area;
      Result The dominant environmental factors affecting the distribution of A. paniculata were annual mean temperature (contribution rate 45.5%), distance to water bodies (contribution rate 42.8%), mean temperature of the wettest quarter (contribution rate 3.5%), and temperature seasonality (contribution rate 1.1%). Under past climatic conditions, the total area of potential suitable habitats of A. paniculata was 255.10×104 km2 (accounting for 26.59% of China's land area), among which the highly suitable area was 31.60×104 km2 (3.29%), concentrated in South China (central-southern Guangdong, central-southern Guangxi, southern Fujian, coastal Taiwan, and the whole of Hainan) and southern Yunnan, the moderately suitable area was 52.21×104 km2 (5.44%), extending to northern Guangdong, northern Guangxi, southern Hunan, southeastern Guizhou, southern Jiangxi, and southeastern Sichuan, and the lowly suitable area was 171.28×104 km2 (17.86%), covering most of Hunan, most of Jiangxi, Jiangsu, Zhejiang, Anhui and other regions. Under future climate scenarios, the total area of suitable habitats showed an expanding trend, with the total suitable area presenting "fluctuating expansion" under the SSP245 scenario and more significant expansion under the SSP585 scenario; under both scenarios, the highly suitable area still took South China as the core, the moderately suitable area extended to East China and Central China, and the centroid of suitable habitats was always located within the scope of Guizhou and Chongqing (past centroid: Chongqing, 29.775°N, 107.558° E), showing an overall migration trend of "first to low latitudes, then to high latitudes".
      Conclusion Climate change can significantly promote the expansion of suitable habitats of A. paniculata, and the expansion effect is more prominent under the high-emission scenario. The research results can provide an important basis for the protection of germplasm resources in the core suitable areas of A. paniculata, introduction planning in potential areas, optimization of cultivation techniques, and sustainable industrial development.