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气候变化情景下大花杓兰在中国的适生区预测
引用本文:吴齐,董树斌,杨蕾,亓秀金,张毓,杨明琪,任志河,刘青昊,程瑾. 气候变化情景下大花杓兰在中国的适生区预测[J]. 生态学报, 2024, 44(1): 209-223
作者姓名:吴齐  董树斌  杨蕾  亓秀金  张毓  杨明琪  任志河  刘青昊  程瑾
作者单位:1. 北京林业大学生物科学与技术学院,林木育种与生态修复国家工程研究中心,花卉种质创新与分子育种北京市重点实验室;2. 国家植物园;3. 北京林大林业科技股份有限公司
基金项目:高等学校学科创新引智计划(B13007);
摘    要:大花杓兰(Cypripedium macranthos)隶属兰科杓兰属,是国家二级重点保护野生植物,与大多数杓兰属植物分布在我国西南山区不同,主要分布于我国的华北、东北和台湾等地区。多年来,过渡采挖等导致了大花杓兰种群数量和个体数目急剧下降。鉴于大花杓兰特殊的分布格局和濒危现状,选择过去、当前和未来8个气候情景,利用MaxEnt物种分布模型结合38个环境变量及来源于数据库和最新实地调查的80个分布位点进行建模,分析了影响大花杓兰分布的关键环境变量,预测了其在当前、过去和未来气候情景下的适生区及其分布中心和迁移趋势。结果表明:当前情景下,大花杓兰适生区主要分布在我国东北和华北地区。影响其分布的5个关键环境变量分别是:UV-B最强月份均值(UV-B3,贡献率:54.0%)、森林覆盖率(FOR,贡献率:14.3%)、降水量季节性变化(BIO15,贡献率:7.4%)、温度季节性变动系数(BIO4,贡献率:6.8%)和草/灌木/林地(GRS,贡献率:4.6%)。其中,紫外辐射相关变量是首次被运用在杓兰属植物的适生区分布预测中,并被证实对大花杓兰的分布具有重要影响。过去3个气候情景下大花杓兰总适生...

关 键 词:大花杓兰  气候变化  适生区  最大熵(MaxEnt)模型
收稿时间:2022-12-20
修稿时间:2023-06-15

Prediction of potential distribution of Cypripedium macranthos under climate change scenarios in China
WU Qi,DONG Shubin,YANG Lei,QI Xiujin,ZHANG Yu,YANG Mingqi,REN Zhihe,LIU Qinghao,CHENG Jin. Prediction of potential distribution of Cypripedium macranthos under climate change scenarios in China[J]. Acta Ecologica Sinica, 2024, 44(1): 209-223
Authors:WU Qi  DONG Shubin  YANG Lei  QI Xiujin  ZHANG Yu  YANG Mingqi  REN Zhihe  LIU Qinghao  CHENG Jin
Affiliation:National Engineering Research Center of Tree Breeding and Ecological Restoration, Beijing Key Laboratory of Ornamental Plants Germplasm Innovation and Molecular Breeding, College of Biological Science and Technology, Beijing Forestry University, Beijing 100083, China;China National Botanical Garden, Beijing 100093, China;Beijing Forestry University Science & Techical Co., LTD., Beijing 100083, China;Management Office of Hebei Dahaituo National Nature Reserve, Zhangjiakou 075500, China
Abstract:Cypripedium macranthos (Orchidaceae), the second-class protected plant in the National List of Key Protected Wild Plants, unlike most species in the genus Cypripedium, is mainly distributed in North China, Northeast China and Taiwan. In recent years, over-collection has led to a dramatic decline in both population size and the number of individuals. In view of the special distribution pattern and endangered situation of C. macranthos, we selected eight climate scenarios:historical, current, future (LIG, LGM, MH, Current, RCP2.6-2050, RCP2.6-2070, RCP8.5-2050, RCP8.5-2070), and then analyzed 38 environmental variables and 80 distribution points from the database and the latest field survey using maximum entropy (MaxEnt) model. The results showed that under the current scenarios, the suitable areas of C. macranthos were mainly distributed in Northeast China and North China, and five key environmental factors affecting its distribution were:mean UV-B of the highest month (UV-B3, contribution rate:54.0%), forest land (FOR, contribution rate:14.3%), precipitation seasonality (coefficient of variation) (BIO15, contribution rate:7.4%), temperature seasonality (standard deviation *100) (BIO4, contribution rate:6.8%), and Grass/Scrub/Woodland (GRS, contribution rate:4.6%). For the first time, UV radiation variables were applied to predict the geographic distribution of suitable habitat for Cypripedium, which were identified to have a critical influence on the distribution of C. macranthos. In the historical three scenarios, the total suitable area of C. macranthos firstly decreased and then increased due to the glacial period. Meanwhile, compared with the suitable area in the current scenario, those in the future four climate scenarios had an upward trend. Except for the Last Glacial Maximum, the distribution centroid of the suitable area for C. macranthos was located in Hebei Province, while those of the other seven climate scenarios were located in the southeast of the Inner Mongolia Autonomous Region, close to Liaoning Province. In the context of climate change, the adoption of conservation strategies such as comprehensive surveys in suitable habitats, regular monitoring of habitat and plant growth, and science education was essentially important for C. macranthos. This study can provide theoretical references for the development of conservation strategies of C. macranthos and even the genus Cypripedium.
Keywords:Cypripedium macranthos  climate change  the potential distribution  maximum entropy model
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