文章摘要
姜健发,李亚楠,胡昌平,王有兵,杨建军,杨淑娇,李金亮,徐丕聪.基于MaxEnt模型和GIS的云南省金铁锁潜在适生区预测研究[J].林业调查规划,2025,50(3):10-15,141
基于MaxEnt模型和GIS的云南省金铁锁潜在适生区预测研究
Prediction of Potential Suitable Habitats for Psammosilene tunicoides inYunnan Province Based on MaxEnt Model and GIS
  
DOI:
中文关键词: 金铁锁  潜在适生区  MaxEnt 模型  环境变量  气候变量  云南省
英文关键词: Psammosilene tunicoides  potential suitable habitat  MaxEnt model  environmental variables  climatic variables  Yunnan Province
基金项目:大理鸡足山生物多样性本底调查基础研究计划(20232901A020003).
作者单位
姜健发 西南林业大学,云南 昆明 650224
 
李亚楠 云南省林业调查规划院大理分院,云南 大理 671099 
胡昌平 云南省林业调查规划院大理分院,云南 大理 671099 
王有兵 云南省林业调查规划院大理分院,云南 大理 671099 
杨建军 云南省林业调查规划院大理分院,云南 大理 671099 
杨淑娇 云南省林业调查规划院大理分院,云南 大理 671099 
李金亮 云南省林业调查规划院大理分院,云南 大理 671099 
徐丕聪 云南省林业调查规划院大理分院,云南 大理 671099 
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中文摘要:
      依据金铁锁在云南省的分布记录数据和现地调查数据,对1970—2000年间12个月最低温、 12个月最高温、12个月均降水量、12个月均太阳辐射和19个生物气候变量,共67个气候变量,采用SDMtoolbox工具对这些气候变量进行相关性因子分析,筛选出8个气候变量;结合土壤的12 个变量,地形要素的3个变量及土地利用数据/土地覆盖数据,共24个环境变量,采用MaxEnt模型对金铁锁在云南省的潜在适生区进行预测,基于GIS 技术对适宜区采用自然断点分级法进行适宜性 等级划分和环境变量分析。结果表明,金铁锁的低、中、高适宜区面积分别为39 213、15 101、6 725 km2,分别占研究区总面积的10.17%、3.92%、1.74%。其中,高适宜区主要集中在云南省的滇西北;5月份降水量、土壤酸碱度、3月份降水量、坡度是影响金铁锁分布的主要环境因子。金铁锁适 宜在海拔2 350~3 760 m的阳坡、半阳坡的缓坡生长,5月份降水较少,3月份有适量降水,昼夜温差 不大,土壤碳酸岩含量高、酸性、质地较粘重的水稻土、褐红壤、棕壤、碳酸岩褐土、亚高山草甸土的 水田、旱地、灌木林地、疏林地、其他林地、草地区域分布。。
英文摘要:
      Based on the distribution records and field survey data of Psammosilene tunicoides in Yunnan Province, this study analyzed 67 climatic variables, including the monthly minimum temperature, maximum temperature, average precipitation, and solar radiation from 1970 to 2000, along with 19 bioclimatic variables. Using the SDMtoolbox, correlation factor analysis was conducted to select eight key climatic variables. Combined with 12 soil variables, 3 topographic variables, and land use/land cover data, there are a total of 24 environmental variables, The MaxEnt model was employed to predict the potential suitable habitats of Psammosilene tunicoides in Yunnan. GIS technology was applied to classify suitability levels using the natural breaks method and to analyze environmental variables. The results showed that the areas of low, medium, and high suitability zones were 39 213 km2, 15 101 km2, and 6 725 km2, accounting for 10.17%, 3.92%, and 1.74% of the study area, respectively. The high-suitability zones were mainly concentrated in northwestern Yunnan. The key environmental factors influencing the distribution of Psammosilene tunicoides were precipitation in May, soil pH, precipitation in March, and slope. The species prefers sunny or semi-sunny gentle slopes at elevations of 2 350-3 760 m, with less rainfall in May, moderate rainfall in March, low diurnal temperature variation, and soils rich in carbonate, acidic, paddy soil with relatively sticky and heavy texture, brown-red soils, brown soils, carbonate cinnamon soils, paddy fields of subalpine meadow soil, shrublands, sparse woodlands, other forested areas, and grasslands.
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