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作 者:陈燕丽 张悦[2] 钱拴 孙明 莫伟华 Chen Yanli;Zhang Yue;Qian Shuan;Sun Ming;Mo Weihua(Guangxi Academy of Sciences,Guangxi Mangrove Research Center,Guangxi Key Laboratory of Mangrove Conservation and Utilization,Beihai,Guangxi 536000,China;College of Resources and Environmental Sciences,China Agricultural University,Beijing 100094,China;National Meteorological Center,Beijing 100081,China;Guangxi Institute of Meteorological Sciences,Nanning,Guangxi 530022,China)
机构地区:[1]广西科学院广西红树林研究中心,广西红树林保护与利用重点实验室,广西北海536000 [2]中国农业大学资源与环境学院,北京100094 [3]国家气象中心,北京100081 [4]广西壮族自治区气象科学研究所,广西南宁530022
出 处:《广西林业科学》2022年第1期53-61,共9页Guangxi Forestry Science
基 金:广西红树林保护与利用重点实验室开放基金(GKLMC-202004);中国气象局气候变化专项(CCSF202030);基本科研业务费重点项目(2019Z010)。
摘 要:定量化评估气象条件的影响可为红树林保护和修复提供重要决策依据。以广西北海典型沙生红树林为对象,利用北海红树林生态气象站观测数据、红树林植被指数和国家气象台站数据,研究影响红树林长势的关键气象因子、红树林小气候效应和气象指标阈值,建立红树林综合气象条件适宜度评估模型。结果表明,气温、降水量、相对湿度和风速为影响广西北海红树林生长的关键气象因子。红树林小气候效应明显,气象适宜度评估需对风速资料进行订正。采用生育期有效积温、累积降水量、相对湿度和风速作为评估指标,采用打分加权法,建立红树林综合气象条件适宜度评估模型,气象适宜度评估结果与红树林长势变化有较高的一致性。Quantitative evaluation on impact of meteorological condition plays an important role in protection and restoration of mangrove.Taking typical sandy mangrove as object,data from Beihai mangrove ecological meteorological station,mangrove vegetation index and data from national meteorological station were used to study key meteorological factors affecting mangrove growth,mangrove microclimate effect and meteorological index threshold,and model to evaluate suitability based on multiple meteorological conditions for mangrove growth was established.Results showed that temperature,rainfall,relative humidity and wind speed were key meteorological factors affecting growth of mangrove in Beihai,Guangxi.There was significant effect in mangrove microclimate,and wind speed data needed to be revised in meteorological suitability evaluation.Effective accumulative temprature,accumulative rainfall,relative humidity and wind speed in growth period were used as evaluation indexes,and scoring weighting method was used to establish suitability evaluation model based on multiple meteorological conditions for mangrove growth.Evaluation results showed good agreement with changes of mangrove growth.
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