CN112801471A - 入侵植物竞争优势度量化方法 - Google Patents
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Abstract
本发明涉及植物学、植物生理学、植物生态学、入侵生态学、种群生态学、群落生态学和环境生态学等相关领域,公开了一套入侵植物竞争优势度量化指标体系,即:表征入侵植物竞争优势度强弱的指标—入侵植物竞争优势度指数CAI。该指标体系可对入侵植物的竞争优势度进行较简捷且较精准的评估量化。此外,本发明具有便捷、快速、操作性强和可行性高的特点。
Description
技术领域
本发明涉及植物学、植物生理学、植物生态学、入侵生态学、种群生态学、群落生态学和环境生态学等相关领域,公开了一套入侵植物竞争优势度量化指标体系。
背景技术
由于全球生态环境变化以及人类活动强度和频度日益增强,近年来以入侵植物介导的生物入侵为代表的生物安全问题日益严重,并严重影响环境健康与生态安全以及社会可持续发展。生物安全关乎环境质量、生态水准、经济发展、人民健康、社会和谐与国家稳定,由生物因素带来的安全问题一直是人类面临的重大威胁之一。同时,国家层面也高度重视生物安全,并将生物安全纳入国家安全体系。所以,非常有必要对入侵植物的竞争优势度及其相应的环境生态风险等级进行量化衡定,从而为评估入侵植物的竞争优势度及其相应的环境生态风险等级并进而为构筑新时代下以生物入侵为代表的生物安全预警防控管理奠定强有力的理论支撑和实践基础。
基于此,本专利提出一套较简捷且较精准可行的量化指标体系对入侵植物的竞争优势度进行评定估算,进而为深入评估入侵植物的环境生态风险等级并为构建入侵植物生态管理和预警防控体系奠定强有力的理论支撑和实践基础。
发明内容
本发明提出一套入侵植物竞争优势度量化指标体系,即:表征入侵植物竞争优势度强弱的指标—入侵植物竞争优势度指数(Competitive advantage index of alieninvasive plants,CAI)。通过计算入侵植物竞争优势度指数CAI来判断入侵植物竞争优势度。
本发明的技术方案具体实施步骤为:
入侵植物竞争优势度指数(Competitive advantage index of alien invasiveplants,CAI),按照以下公式计算:
式中,CWMi为调查样方内入侵植物i的群落特征加权平均数指数(Community-weighted mean trait values of alien invasive plants);CWM为调查样方内所有植物的群落特征加权平均数指数(Community-weighted mean trait values of all plantspecies)。
植物的群落特征加权平均数指数参照前人的方法计算(Garnier E,Cortez J,Billès G,Navas M,Roumet C,Debussche M,Laurent G,Blanchard A,Aubry D,BellmannA,Neill C,Toussaint JP.2004.Plant functional markers capture ecosystemproperties during secondary succession.Ecology 85:2630-2637.;Lavorel S,Grigulis K,McIntyre S,Williams NS,Garden D,Dorrough J,Berman S,Quétier F,Thébault A,Bonis A.2008.Assessing functional diversity in the field-methodologymatters!.Functional Ecology 22:134-147.;Ricotta C,Moretti M.2011.CWM and Rao’s quadratic diversity:a unified framework for functional ecology.Oecologia167:181-188.)。
其中,CWMi按照以下公式计算:
式中,Si为调查样方内入侵植物种类的数量;
Pi为调查样方内入侵植物i的相对丰度,即Pi=ni/N,其中ni为调查样方内入侵植物i的植株数量,N为调查样方内所有植物的植株数量总数;
Xi为调查样方内入侵植物i生理生态指标的算术平均值。
其中,CWM按照以下公式计算:
式中,S为调查样方内所有植物种类的数量;
P为调查样方内某一植物的相对丰度,即P=n/N,其中n为调查样方内某一植物的植株数量,N为调查样方内所有植物的植株数量总数;
X为调查样方内某一植物生理生态指标的算术平均值。
指标CAI值计算所选择的调查样方为入侵植物已入侵的样方,对于入侵植物未入侵的样方由于无入侵植物的分布,即入侵植物的相对丰度为0,故入侵植物未入侵样方的CAI值为0。
选择的调查样方数量至少为3个,且选择的调查样方数量越多越好以减少误差。
选择的调查样方大小建议设置为:(1)乔木:20m*20m;(2)灌木:10m*10m;(3)草本:2m*2m;(4)苔藓:0.5m*0.5m。
CAI值越大表示入侵植物的竞争优势度越大,入侵植物竞争优势度可划分为三个水平,即:
(i)0.00<CAI≤0.35;若入侵植物竞争优势度达到i水平的可列为一般入侵植物,其入侵竞争力一般,标识采用黄色;
(ii)0.35<CAI≤0.75;若入侵植物竞争优势度达到ii水平的可列为严重入侵植物,其入侵竞争力较强,标识采用橙色;
(iii)0.75<CAI≤1.00。若入侵植物竞争优势度达到iii水平的可列为恶性入侵植物,其入侵竞争力很强,标识采用红色。
本发明的有益效果为:
本发明提供的指标体系不仅聚焦入侵植物的生理生态指标值的大小,而且还对其进行加权(基于入侵植物的相对丰度),这更能进一步体现入侵植物的竞争优势。该指标体系可对入侵植物的竞争优势度进行较简捷且较精准的评估量化。此外,本发明具有便捷、快速、操作性强和可行性高的特点。
附图说明
图1为不同入侵程度入侵植物的竞争优势度指数比较,[标注不同字母者(Meanand SE,n=40)表示差异显著(P<0.05)]。
具体实施方式
为量化评估入侵植物的入侵植物竞争优势度进而评估其相应的环境生态风险等级,我们在野外分别随机调查一种草本入侵植物不同入侵程度(一般入侵和恶性入侵)的入侵样方(2m*2m)各40个。分别记录每一个样方所有植物种类的数量、每一种植物的植株数量和所有植物的植株数量总数,然后计算所有植物(包括本地植物和入侵植物)的相对丰度。同时,测定所有植物(包括本地植物和入侵植物)的功能性状(即:株高、茎干直径、叶柄直径、叶柄长、叶长、叶宽、叶形指数、叶叶绿素含量、叶氮含量、单叶片厚)。
然后,按照我们提出的入侵植物竞争优势度指数量化方法,计算出不同入侵入侵植物的竞争优势度。
数据列表如下:
表1一般入侵样方的所有植物(包括本地植物和入侵植物)的功能性状和相对丰度
表2恶性入侵样方的所有植物(包括本地植物和入侵植物)的功能性状和相对丰度
表3不同入侵程度入侵植物的竞争优势度指数值大小比较
然后,根据计算结果作图,不同入侵程度入侵植物的竞争优势度指数对比如下如图1所示:根据结果,该入侵植物一般入侵时其竞争优势度达到i水平,可列为一般入侵植物(其入侵竞争力一般,标识可采用黄色);恶性入侵时其竞争优势度达到iii水平,可列为恶性入侵植物(其入侵竞争力很强,标识可采用红色)。
Claims (5)
4.根据权利要求1所述的入侵植物竞争优势度量化方法,其特征在于,指标CAI值计算所选择的调查样方为入侵植物已入侵的样方,选择的调查样方数量至少为3个;选择的调查样方大小设置为:(1)乔木:20m*20m;(2)灌木:10m*10m;(3)草本:2m*2m;(4)苔藓:0.5m*0.5m。
5.如权利要求1所述的入侵植物竞争优势度量化方法,其特征在于,CAI值越大表示入侵植物的竞争优势度越大,入侵植物竞争优势度可划分为三个水平,即:
(i)0.00<CAI≤0.35;若入侵植物竞争优势度达到i水平的可列为一般入侵植物,其入侵竞争力一般,标识采用黄色;
(ii)0.35<CAI≤0.75;若入侵植物竞争优势度达到ii水平的可列为严重入侵植物,其入侵竞争力较强,标识采用橙色;
(iii)0.75<CAI≤1.00;若入侵植物竞争优势度达到iii水平的可列为恶性入侵植物,其入侵竞争力很强,标识采用红色。
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CN113554285A (zh) * | 2021-07-05 | 2021-10-26 | 中国水产科学研究院黄海水产研究所 | 暴发水母种群波动对渔业资源风险影响的量化评估方法 |
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CN102823419A (zh) * | 2012-09-21 | 2012-12-19 | 农业部环境保护科研监测所 | 一种防止天然草原外来植物入侵的方法 |
CN102860206A (zh) * | 2012-09-21 | 2013-01-09 | 农业部环境保护科研监测所 | 恶性杂草刺萼龙葵入侵天然植被快速恢复方法 |
CN107391877A (zh) * | 2017-08-15 | 2017-11-24 | 广西壮族自治区林业科学研究院 | 一种基于r软件的入侵植物频度数量变化调查分析方法 |
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CN102823419A (zh) * | 2012-09-21 | 2012-12-19 | 农业部环境保护科研监测所 | 一种防止天然草原外来植物入侵的方法 |
CN102860206A (zh) * | 2012-09-21 | 2013-01-09 | 农业部环境保护科研监测所 | 恶性杂草刺萼龙葵入侵天然植被快速恢复方法 |
CN107391877A (zh) * | 2017-08-15 | 2017-11-24 | 广西壮族自治区林业科学研究院 | 一种基于r软件的入侵植物频度数量变化调查分析方法 |
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CN113554285A (zh) * | 2021-07-05 | 2021-10-26 | 中国水产科学研究院黄海水产研究所 | 暴发水母种群波动对渔业资源风险影响的量化评估方法 |
CN113554285B (zh) * | 2021-07-05 | 2024-04-26 | 中国水产科学研究院黄海水产研究所 | 暴发水母种群波动对渔业资源风险影响的量化评估方法 |
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