琅琊山国家森林公园蝶类多样性

报道了安徽滁州市琅琊山国家森林公园蝶类多样性的研究结果,共采集了蝴蝶4454只,隶属8科、40属、57种。应用Margalef物种丰富度模型及Shannon-Wiener生物多样性指数分析了该地蝶类物种的丰富度及多样性。蝴蝶物种丰富度由大到小为森林林地(7.2747)>山缘农田(5.3499)>裸岩(3.3008),物种多样性指数由大到小为森林林地(3.3081)>裸岩(2.4628)>山缘农田(2.0009);结果表明琅琊山蝶类物种较为丰富,多样性指数说明琅琊山的生态环境良好。     

生物多样性保护优先区对重庆苔藓植物多样性保护的重要性

生物多样性保护优先区的生物多样性十分丰富, 对于生物多样性保护具有重要意义。本文基于野外调查数据和文献资料, 整合大巴山和武陵山两个中国生物多样性保护优先区重庆境内的苔藓植物名录, 通过分析物种丰富度、中国特有种和受威胁物种, 比较了这两个地区的苔藓植物组成特点和相似性。结果显示, 两个保护优先区重庆境内共有苔藓植物77科221属722种, 其物种数分别占重庆市和中国苔藓植物总种数的76.0%和23.9%。两个区域分布有中国特有苔藓植物56种, 占中国苔藓植物总种数的1.9%; 分布有极危苔藓植物1种、濒危4种和易危3种。科、属、种的Jaccard相似性系数分别为0.7、0.6和0.3, 表明两个区域物种组成差异较大。大巴山和武陵山两个中国生物多样性保护优先区都具有较高的苔藓植物物种多样性, 其种类组成具有一定代表性, 对重庆市和中国苔藓植物多样性保护具有重要价值。     

中国沙拐枣属天然群落特征及其物种多样性研究

根据野外调查资料,应用生物多样性的原理和方法计测了群落的物种丰富度指数(R0、R1)、物种多样性指数(H′、D)、均匀度指数(E)以及优势度指数(C)以分析中国沙拐枣属天然群落的群落学特征。结果表明(1)中国沙拐枣属天然群落组成成分简单,共出现种子植物91种,分属22科62属,科属组成较为分散;生活型组成中1年生植物种类多,数量大,占总数的35.16%;沙拐枣属天然群落的垂直结构明显;(2)多样性分析表明,中国沙拐枣属天然群落物种组成单一,结构简单,其中群落多样性最低分别为塔克拉玛干沙拐枣(Calligonum roborowskii)群落和沙拐枣(C.mongolicum)(若羌)群落。群落多样性最高分别为沙拐枣(C.mongolicum)(采南)群落、小沙拐枣(C.pumilum)群落和艾比湖沙拐枣(C.ebi-nuzicum)群落。不同沙拐枣属植物所形成的群落差异主要表现在物种组成以及物种多样性水平,这种差异表现主要是1年生和多年生草本植物的物种多样性。(3)丰富度指数和物种多样性指数表现出基本一致的变化趋势,而生态优势度指数则表现相反的趋势。物种的丰富度指数和多样性指数与群落的结构以及立地环境条件等有密切的关系,结构复杂的群落较其它群落的多样性指数高,但由于特殊生境所形成的单优群落物种多样性指数则较低。     

秦岭国家植物园蝴蝶群落结构与多样性

为了查明秦岭国家植物园蝴蝶资源和多样性状况, 本研究选取了5种生境, 利用样线法进行了3年的蝴蝶多样性观测。结果表明: 秦岭国家植物园蝴蝶共有5科76属134种; 物种丰富度指数、物种多样性指数、均匀度指数和优势度指数分别为1.3295、3.4616、0.7068和0.7656; 其中蛱蝶科属数及物种数最多(33属65种), 凤蝶科最低(5属10种); 蛱蝶科物种多样性指数及物种丰富度指数最高, 分别为2.8525及1.3622; 凤蝶科多样性指数最低(1.4936); 粉蝶科物种丰富度指数最低(0.2790)。5种生境中, 随着植被丰富度的增加, 蝴蝶多样性指数上升。     

中国暖温带若干灌丛群落多样性问题的研究

 暖温带灌丛的生物多样性的研究表明：1．灌丛群落的均一度指数同优势度指数的相关性较丰富度指数同变化度指数的相关性为高;在众多的多样性指数中,D4(Shannon信息度指数)和D6(Gini指数)因最大限度地包含了其它各类多样性指数的信息而被采用。2．灌丛群落的物种多样性指数值随着演替的进行,没有表现出降低的趋势。3．生物多样性较高的荆条灌丛和辽东栎萌丛的物种多度分布是对数分布,而生物多样性较低的鬼见愁灌丛和毛榛灌丛的物种多度分布是几何分布,处于中间的三桠绣线菊灌丛的物种多度分布是Broken-Stick分布;没有正态对数分布类型。     

中国东部10个海岛植被近自然度评价

植被近自然度评价是森林近自然恢复的重要理论基础。海岛因特殊的生物地理环境,其植被结构和功能有别于陆地植被,当前还未有从植物生理生态角度,联合植物功能性状的海岛植被近自然度评价指标体系。基于中国东部10个典型海岛的74个植物群落,以植被信息、土壤属性和多样性特征（物种和功能多样性）构建海岛植被近自然度评价指标体系。利用敏感性分析筛选出13个反映海岛植被近自然度的中、高敏感性指标,基于筛选指标用层次分析法初次构建了中国东部海岛植被近自然度评价指标体系,并计算典型海岛的植被近自然度综合指数和划定植被近自然度等级。结果显示：海岛植被近自然度综合评价指标的权重：植被信息 > 多样性特征 > 土壤属性,其中植物自然构成系数、土壤含水量、Shannon-Wiener指数、Rao二次熵指数的权重较大;典型海岛的植被近自然度综合指数在0.345-0.611间,其中大金山岛的植被近自然度最高,属半天然林,北长山岛最低,为近人工林,其他海岛为远天然林;中亚热带的海岛植被近自然度较高,暖温带和南亚热带的海岛植被近自然度较低。本研究基于陆地植被近自然度评价指标,联合植物功能多样性对我国东部海岛植被近自然度进行综合评价,为海岛植被的生态状况提供定量依据,以及为海岛植被保护与管理和近自然恢复提供理论支撑。     

梧桐山甲虫物种多样性

报道了深圳市梧桐山岗景区鞘翅目昆虫多样性的研究结果。梧桐山鞘翅目在不同季节的变化动态研究表明６、７月份是鞘翅目成虫出现的高峰期。应用Ｍａｒｇａｌｅｆ物种丰富度模型及Ｓｈａｎｎｏｎ Ｗｅｉｎｅｒ生物多样性指数分析了该地鞘翅目物种的丰富度及多样性。结果表明梧桐山的鞘翅目昆虫物种组成为丰富型,相当高的多样性指数说明梧桐山的生态环境良好。     

广州市不同城市化发展区域蝶类多样性

2005～2006年,对广州地区4个不同城市化发展区域(森林区、农田区、城市区、沿海湿地区)的蝶类进行6次调查,共统计到10科46属73种.森林区科、属、物种和个体数目都最多,沿海湿地区各项数量指标都最小,农田区的个体数量大于城市区,但科、属和物种数却与城市区差异不大.多样性分析结果表明,森林区的种类丰度、多样性指数最高,沿海湿地区的种类丰度和多样性指数最低;均匀度大小依次为沿海湿地区﹥农田区﹥森林区﹥城市区;优势度指数大小依次为沿海湿地区﹥城市区﹥农田区﹥森林区.相似性分析结果表明,森林区和农田区具有的相同物种数最多,相似性系数最高;沿海湿地区和森林区、农田区、城市区具有的相同物种数都较少,相似性系数也较低.     

青海湖地区芨芨草群落特征及其物种多样性研究

以青海湖地区典型的芨芨草群落为研究对象,用样带法进行了调查。根据野外调查资料分析了青海湖地区芨芨草群落的群落学特征,应用生物多样性的原理和方法计测了青海湖地区芨芨草群落的物种丰富度指数(R0,R1)、物种多样性指数(Shannon-Wiener指数H′、Simpson指数D和Hill指数n1、n2)及均匀度指数(E1、E2)。结果表明,青海湖地区芨芨草群落的组成成分简单,植物种类比较贫乏,北温带分布的属占优势;生活型以地面芽植物种类居多,是该群落中处于优势地位的生活型;芨芨草群落垂直结构分异较为明显;芨芨草群落的丰富度指数、均匀度指数和物种多样性指数表现出基本一致的变化趋势。群落植物多样性指数的大小受立地生境和人为活动的综合影响,对于芨芨草群落而言,生境条件越适宜,优势种地位越明显,丰富度指数和物种多样性指数越低;过度放牧地带丰富度指数和物种多样性指数较低。     

闽北地区森林群落物种多样性的测定

采用8个物种多样性指数对闽北地区的8个森林群落类型物种多样性进行测定,并选用4个种一多度关系模型(对数正态分布、Weibull分布、对数级数分布、生态位优先占领模型)分析其物种-多度关系,把多样性指数与对数正态分布、Weibull分布和生态位优先占领模型的有关参数进行线性回归,以分析多度模型参数描述物种多样性的可行性。结果表明：(1)多数物种多样性指数对群落的测度是一致的,(2)对数正态分布、Weibull分布和生态位优先占领模型对8个群落的物种多度拟合效果很好;(3)对数正态分布、Weibull分布和生态位优先占领模型有关模型参数与部分物种多样性指数的线性关系达显著或极显著水平。通过闽北地区8个类型森林群落物种多样性指数测定,使生物多样性较准确地数量化,同时还说明采用改进单纯形法进行非线性分布函数的拟合是简单有效的,可推广应用。     

中国陆域生物多样性综合评估指标体系构建

陆域生物多样性综合评估是保护生物多样性的重要基础工作,评估生物多样性现状和变化趋势、分析其损失的影响因素,是制定生物多样性保护政策与措施的前提和必要条件。目前,我国在陆域生物多样性综合评估方面尚未形成统一的评估指标体系。本研究围绕《生物多样性公约》爱知生物多样性目标、联合国可持续发展目标,借鉴国际上生物多样性评估新趋势,基于压力-状态-响应(PSR)概念框架,构建了我国陆域生物多样性综合评估指标体系,确定了22项评估指标,其中状态指标8项,压力指标7项,响应指标7项,并对指标相关性和可获得性进行分析。指标体系不仅可以对陆域生物多样性基本状况、受威胁程度、保护成效进行单独定量评价,还可以用于陆域生物多样性综合定量评估,以优化调整生物多样性优先保护区和保护措施。本研究可以为管理部门核算绿色国内生产总值(GDP)、制定区域生态补偿政策等提供技术支撑。     

中国生物多样性相关传统知识调查与评估指标体系构建

基于调查获得的数据开展生物多样性相关传统知识评估, 明确面临的主要压力和保护空缺, 可为相关管理部门决策提供科学依据。指标是开展评估的主要工具, 但是目前尚未有关于生物多样性相关传统知识评估指标体系的文献报道。我们基于压力-状态-响应(pressure-state-response, PSR)模型, 充分考虑生物多样性相关传统知识的基本特征、主要威胁因子、保护和传承措施, 初步构建了区域和国家尺度的生物多样性相关传统知识评估指标体系。然后通过专家咨询, 确定了30项指标, 其中压力指标7项、状态指标14项、响应指标9项。这些指标不仅可以用于生物多样性相关传统知识的综合评估, 还可以对其基本状况、受威胁状况、保护与传承状况、相关遗传资源进行单独评价。此外, 基于评估参数计算的数据需求, 我们借鉴国内外民族植物学和生物多样性相关传统知识调查的主要研究成果, 建立了“全国生物多样性相关传统知识调查技术方法体系”, 并通过试点调查进行修改完善。 “全国生物多样性相关传统知识调查”以关键人物访谈、问卷调查和参与观察为主, 并辅以生物学和生态学调查; 采用滚雪球抽样法对目标群体进行抽样, 确定访谈对象。     

Remote sensing of biodiversity: what to measure and monitor from space to species?

Global biodiversity monitoring systems through remote sensing can support consistent assessment, monitoring, modelling and reporting on biodiversity which are key activities intended for sustainable management. This work presents an overview of biodiversity monitoring components, i.e. biodiversity levels, essential biodiversity variables, biodiversity indicators, scale, biodiversity inventory, biodiversity models, habitat, ecosystem services, vegetation health and biogeochemical heterogeneity and discusses what remote sensing through Earth Observations has contributed to the study of biodiversity. The technological advancements in remote sensing have enabled information-rich data on biodiversity. Remote sensing data are making a strong contribution in providing unique information relevant to various biodiversity research and conservation applications. The extensive use of Earth observation data are not yet realized in biodiversity assessment, monitoring and conservation. The development of direct remote sensing approaches and the techniques for quantifying biodiversity at the community to species level is likely to be a great challenge for comprehensive earth observation-based monitoring strategy.

     

农业生物多样性保护履约进展及对我国农业发展的启示

农业生物多样性是《生物多样性公约》(以下简称《公约》)履约的核心议题之一, 对世界粮食安全、农业可持续发展以及实现碳中和具有重要实践意义。然而, 越来越多的研究表明, 由于人口的持续增长和饮食结构的根本性改变, 农业扩张已成为生物多样性丧失的主要驱动力之一。本文基于《公约》条款、第二次至第十四次缔约方大会相关决定、生物多样性和生态系统服务政府间科学与政策平台评估报告、第五版《全球生物多样性展望》(GBO-5)等内容, 系统梳理了《公约》谈判中农业生物多样性的履约进展和演变进程, 分析了农业生物多样性面临的严峻形势及存在问题。在此基础上, 从深入农业生物多样性相关指标研究、基于自然的解决方案、实现农业绿色可持续发展以及推动非国家利益相关方参与等层面, 就加强中国农业生物多样性保护工作提出建议, 以期有利于塑造中国良好对外形象, 也为维护世界农业稳定和粮食安全、推动《公约》第十五次缔约方大会(COP15)的顺利召开和成果达成奠定科学基础。     

基于综合指数法的白龙江流域生物多样性空间分异特征研究

大中区域尺度上生物多样性空间分布格局识别是制定和实施区域生物多样性保护计划的前提条件,也是生物多样性保护确定优先区域研究工作迫切需要解决的关键问题之一。拟以甘肃白龙江流域为例,结合InVEST模型和遥感、GIS技术,以区域生境质量、植物净初级生产力和景观状态指数为评价指标,应用归一化处理方法,构建区域生物多样性空间格局综合评估方法,在栅格像元尺度上开展白龙江流域生物多样性评价及其空间分异特征分析。结果表明:白龙江流域生物多样性较为丰富,空间分异特征明显。生物多样性较高的区域(Ⅰ和Ⅱ级以上)面积约占39.80%,且主要集中在自然保护区和林业管护区。生物多样性较低的地区主要分布在舟曲-武都-文县的白龙江两岸及其以北区域、宕昌县岷江沿岸、高寒稀疏植被区和高山积雪-裸岩区。     

Functional traits as indicators of biodiversity response to land use changes across ecosystems and organisms

Rigorous and widely applicable indicators of biodiversity are needed to monitor the responses of ecosystems to global change and design effective conservation schemes. Among the potential indicators of biodiversity, those based on the functional traits of species and communities are interesting because they can be generalized to similar habitats and can be assessed by relatively rapid field assessment across eco-regions. Functional traits, however, have as yet been rarely considered in current common monitoring schemes. Moreover, standardized procedures of trait measurement and analyses have almost exclusively been developed for plants but different approaches have been used for different groups of organisms. Here we review approaches using functional traits as biodiversity indicators focussing not on plants as usual but particularly on animal groups that are commonly considered in different biodiversity monitoring schemes (benthic invertebrates, collembolans, above ground insects and birds). Further, we introduce a new framework based on functional traits indices and illustrate it using case studies where the traits of these organisms can help monitoring the response of biodiversity to different land use change drivers. We propose and test standard procedures to integrate different components of functional traits into biodiversity monitoring schemes across trophic levels and disciplines. We suggest that the development of indicators using functional traits could complement, rather than replace, the existent biodiversity monitoring. In this way, the comparison of the effect of land use changes on biodiversity is facilitated and is expected to positively influence conservation management practices.     

Structural indicators for the assessment of biodiversity and their connection to the richness of avifauna

Biodiversity can, on the one hand be seen as a basis for ecosystem services and consequently for the associated human welfare; on the other, biodiversity as such has an independent value for man. However, biodiversity means not only the diversity of species, but also encompasses a number of manifestations of land use and the occurrence of genes, which also contribute to biodiversity, and which require assessment by suitable indicators.The present study seeks to describe biodiversity not only at the species level, but also the level of landscape variety, and to ascertain the connections between them. Its purpose is to develop a set of indicators for a comprehensive representation of biodiversity which contains species and habitat characteristics and can be used for planning practice and for scenarios.The study area is the district of Görlitz in the German state of Saxony, which borders Poland and the Czech Republic. Details regarding the population size of Red List bird species for the time period 2003–2007 were analyzed, using data from the MultibaseCS database of the Saxon state Conservation of Nature Authority. Land use and specific land elements derived from the 2005 biotope mapping process were described by state indicators. In addition, regional statistical data on traffic volume and paved areas were used as impact indicators. All indicators were compiled and compared based on a 1000 m grid, so as to ascertain statistical correlations.The highest correlations between a combined species metric (“species-sum index”) and landscape structure indicators were ascertained for birds of water and wetland habitats. However, those indicators revealed only slight correlations for birds in the other two landscape types, forests and open country. The best connections for all three habitat types between species and structural data were found using edge density indicators. All significant correlations were helpful for the evaluation of future landscape scenarios and, therefore provide a good basis for the design and implementation of planning goals.     

中国实施2020年全球生物多样性目标的进展

针对日益严峻的生物多样性丧失形势,国际社会于2010年通过了《生物多样性战略计划》（2011-2020年）。该战略计划确定了2020年全球生物多样性目标。采用“压力-状态-惠益-响应”模型,建立了评估2020年目标进展的指标体系。该指标体系包括生物多样性现状、生态系统服务、压力和响应4个方面,涉及17个一级指标、42个二级指标。研究表明,除目标2、16和18因缺乏相应指标无法评估外,目标1、3、4、5、7、10、11、14、15、17、19、20的相关评估指标均有不同程度的改善,表明这些目标的实施正沿着正确的轨道推进,特别是目标3（鼓励措施）、目标5（减少生境退化和丧失）、目标11（强化保护区系统和有效管理）、目标14（恢复和保障重要生态系统服务）、目标15（增强生态系统的复原力和碳储量）进展较大;但目标5中的草原生态系统保护,目标6（可持续渔业）、目标8（控制环境污染）、目标9（防治外来入侵物种）、目标12（保护受威胁物种）、目标13（保护遗传资源）的相关评估指标大多呈现恶化的趋势,表明虽然已开展了大量工作,但尚需采取更加有效的策略和措施才能实现这些目标。今后应进一步开发生物多样性价值、可持续消费、生态退化、农林渔业对生物多样性的影响、气候变化对生物多样性的影响、保护区的生态代表性和管理有效性、遗传资源和相关传统知识的获取与惠益分享等方面的指标,更加重视生态功能和生物多样性的恢复,重视濒危物种和遗传资源的保护以及外来入侵物种的防控。     

基于有害干扰的中国省域森林生态安全评价

近年来随着经济社会不断发展,森林生态系统受到各种有害干扰越来越多,在以可持续发展为目标和"建设生态城市,推进城市森林建设,保障城市生态安全"的背景下,研究我国各省森林生态安全状况,成为关乎我国各省城市健康发展的重要课题。在对森林生态安全与森林健康概念辨析的基础上,基于有害干扰角度,运用宏观数据,应用SPSS、Stata、Matlab等软件,采用理论分析与实证分析、定性分析与定量分析相结合的研究方法。通过主成分分析、聚类分析、模糊评价等手段对2011年我国31个省级行政区域的森林生态安全水平进行实证分析和评价。评价结果表明:在2011年研究所涉及的31个省份中,16个省级行政区域的森林生态安全水平较高,森林生态系统受有害干扰较小,整体水平较为乐观,但仍有近一半的省份森林生态系统处于不安全状态。在深入探讨评价结果和影响我国各省森林生态安全主要干扰因子的基础上,为如何维护我国森林生态安全提出了对策建议。     

What criteria should be used to select biodiversity indicators?

The conservation of biodiversity is a major goal in nature conservation, but measuring the total biodiversity of a site or a region is not possible; thus there is a great demand for indicators to represent biodiversity. To be able to make use of indicators, criteria must first be established for their selection, and the degree to which the indicators meet the criteria must be tested. However, the purposes for which indicators are applied—and thus sometimes the criteria themselves—differ between ecological science and environmental policy. As transparency in choosing and testing suitable biodiversity indicators will optimize the results of an indicator, this article first aims to determine if there are common approaches in selecting biodiversity indicators in ecology and environmental policy. Second, we asked which criteria biodiversity indicators were scientifically tested against to determine their suitability. To answer these questions, we analyzed papers on biodiversity indicators referenced in the Web of Science. Our results demonstrate different patterns for selecting biodiversity indicators in the different fields of application. In ecology, the quality of indicators is mainly determined by a close relationship between indicator and indicandum (i.e., indicated phenomenon), while the relevance of an indicator for a given issue, e.g., reserve selection or an assessment of a certain impact, is of paramount importance for conservation policy. Surprisingly, few biodiversity indicators are empirically tested to determine if they meet the criteria by which they were purportedly chosen. We argue that this is due to the different conceptualizations of biodiversity indicators in science and environmental policy. Since the suitability of biodiversity indicators remains untested in many cases, our findings suggest room to make better use of indicators in ecology and environmental policy. As the results of ecological research are put to use to solve environmental problems, the selection of indicators for ecological research should correspond to a large extent with those used in environmental policy. Further, to assess the suitability of a biodiversity indicator, it should be tested against all of the criteria relevant for its selection.