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.

     

鱼类多样性监测的理论方法及中国内陆 水体鱼类多样性监测

近年来, 生物多样性监测网络的建设得到广泛重视, 全球、地区或国家生物多样性观测网不断组建。生物多样性观测的理论框架得到发展, 提出了生物多样性核心监测指标(Essential Biodiversity Variables, EBV)。鱼类多样性监测的理论框架包含于生物多样性核心监测指标之内, 在遗传、物种、生态系统等多层次进行。基于鱼类监测提出的生物完整性指数(index of biotic integrity, IBI)强调不同物种的生态功能, 可以综合反映群落结构和功能的变化, 得到广泛应用。鱼类多样性的监测方法是传统网具和现代水声学等方法的结合。监测结果的分析可以进行简单的指数比较, 也可以进行长期的趋势分析, 寻找关键节点, 探讨宏观生态格局的变化。中国内陆水体鱼类多样性监测网隶属于中国生物多样性监测与研究网络, 拟选取长江、黄河、黑龙江、珠江、澜沧江、怒江、塔里木河及青海湖8大流域, 对25个重要区域和24个重点物种(类群)进行监测, 从重要区域鱼类群落结构、重点物种(类群)种群动态和个体生物学特征、遗传多样性、早期资源等不同层次, 全面监测我国内陆水体鱼类生物多样性状况。     

Aboveground Carbon Storage and Its Links to Stand Structure,Tree Diversity and Floristic Composition in South-Eastern Tanzania

African savannas and dry forests represent a large, but poorly quantified store of biomass carbon and biodiversity. Improving this information is hindered by a lack of recent forest inventories, which are necessary for calibrating earth observation data and for evaluating the relationship between carbon stocks and tree diversity in the context of forest conservation (for example, REDD+). Here, we present new inventory data from south-eastern Tanzania, comprising more than 15,000 trees at 25 locations located across a gradient of aboveground woody carbon (AGC) stocks. We find that larger trees disproportionately contribute to AGC, with the largest 3.7% of individuals containing half the carbon. Tree species diversity and carbon stocks were positively related, implying a potential functional relationship between the two, and a ‘win–win’ scenario for conservation; however, lower biomass areas also contain diverse species assemblages meaning that carbon-oriented conservation may miss important areas of biodiversity. Despite these variations, we find that total tree abundance and biomass is skewed towards a few locally dominant species, with eight and nine species (5.7% of the total) accounting for over half the total measured trees and carbon, respectively. This finding implies that carbon production in these areas is channelled through a small number of relatively abundant species. Our results provide key insights into the structure and functioning of these heterogeneous ecosystems and indicate the need for novel strategies for future measurement and monitoring of carbon stocks and biodiversity, including the use for larger plots to capture spatial variations in large tree density and AGC stocks, and to allow the calibration of earth observation data.     

The Event Book System: A Community-based Natural Resource Monitoring System from Namibia

Namibia's Community Based Natural Resource Management program is a joint venture between government, national non-governmental organisations and rural communities. A component of the program involves communities in monitoring various aspects of their conservancy, ranging from wildlife numbers, through economic returns, to patrolling records and infringements of the rules. A main feature of community monitoring is the Event Book System, which differs from conventional monitoring in that the community dictates what needs to be monitored, and scientists only facilitate the design process and conservancy members undertake all data analysis. The system has been adopted with good results by more than 30 communal conservancies in Namibia, covering almost seven million ha, and is now also being piloted in six national parks. Continued emphasis is needed on enhancing community interpretation and use of data for active adaptive management, particularly where conservancy leaders are transient due to the democratic nature of local organizations. Moreover, because the system is driven by local priorities, it does not cover all aspects of a comprehensive biodiversity monitoring programme. Where society deems other biodiversity values worth monitoring, conservancies must either be willingly persuaded to act on this, or external systems must be established to cater for these needs. If a community already has a monitoring system of its own, a win–win solution might be for the community to be sub-contracted to undertake these ȁ8external modules' on behalf of national agencies.     

Use of terrestrial invertebrates for biodiversity monitoring in Australian rangelands,with particular reference to ants

Abstract Taken literally, the aim of biodiversity monitoring is to track changes in the biological integrity of ecosystems. Given the overwhelmingly dominant contribution of invertebrates to biodiversity, no biodiversity monitoring programme can be considered credible if invertebrates are not addressed effectively. Here we review the use of terrestrial invertebrates, with a particular focus on ants, as bioindicators in Australia in the context of monitoring biodiversity in Australia's rangelands. Ant monitoring systems in Australia were initially developed for assessing restoration success following mining, and have since been applied to a wide range of other land‐use situations, including grazing impacts in rangelands. The use of ants as bioindicators in Australia is supported by an extensive portfolio of studies of the responses of ant communities to disturbance, as well as by a global model of ant community dynamics based on functional groups in relation to environmental stress and disturbance. Available data from mining studies suggest that ants reflect changes in other invertebrate groups, but this remains largely undocumented in rangelands. The feasibility of using ants as indicators in land management remains a key issue, given the large numbers of taxonomically challenging specimens in samples, and a lack of invertebrate expertise within most land‐management agencies. However, recent work has shown that major efficiencies can be achieved by simplifying the ant sorting process, and such efficiencies can actually enhance rather than compromise indicator performance.     

Biodiversity monitoring by community‐based restoration groups in New Zealand

In recent decades, community groups have transformed habitat restoration, pest control and species translocations in New Zealand. Large areas of wild New Zealand benefit hugely from ongoing management by community‐based restoration groups. Areas near cities and towns have especially good access to pools of keen volunteers. Community groups are involved in monitoring progress with their work, as well as monitoring biodiversity changes in general at their project sites. New tools powered by modern technologies are creating the opportunity for New Zealand's community volunteers to play a transformative role in biodiversity monitoring for either purpose. These tools are reducing the resources and expertise required for species detection and identification. Smartphones with cameras, GPS, audio recorders and data apps make it easier than ever to record species observations. Crowd‐sourced identification of species in photographs and sounds loaded onto NatureWatch NZ allow volunteers to make observations of a much wider range of taxa than just common birds and trees. Realising this potential requires community groups, scientists and their institutions to collaborate in building and maintaining simple, accessible monitoring systems that (i) require and promote standard monitoring methods, (ii) provide efficient data entry in standard formats, (iii) generate automated results of use to community groups and (iv) facilitate public sharing of data to contribute to regional, national and global biodiversity monitoring. Some New Zealand monitoring systems developed recently to assist community‐based restoration groups with monitoring mammalian predator control are good examples of this approach. Making this happen at a large scale across many community groups and taxa requires increased and coordinated long‐term institutional support for monitoring systems and training.     

基于站点的生物多样性星空地一体化遥感监测

科学制定生物多样性保护和恢复政策, 需要空间上连续、时间上高频的物种和生境分布以及物种迁移信息支持, 遥感是目前能满足该要求的有效技术手段。近年来, 遥感平台和载荷技术高速发展, 综合多平台、多尺度、多模式遥感技术, 开展基于站点的星空地一体化遥感观测试验, 可以对地表进行时空多维度、立体连续观测, 为生物多样性遥感监测提供了新的契机。本文总结了使用遥感技术监测生物多样性的主要方法, 回顾了典型的星空地一体化遥感观测试验。综述以往研究发现, 一方面, 现有遥感试验还缺少对生物多样性直接监测指标的观测, 另一方面, 生物多样性遥感监测方法也缺少星空地多维立体观测平台的支撑, 亟需加强两者的融合, 开展基于站点的生物多样性星空地一体化遥感监测研究。以设于我国四川王朗大熊猫国家级自然保护区内的王朗山地生态遥感综合观测试验站为例, 展示了星空地一体化遥感综合观测试验平台在生物多样性监测中的应用潜力。星空地一体化遥感观测可以提供物种和生境的综合定量信息, 与生态模型有机结合, 可以刻画生物多样性的时空格局与动态过程, 有助于挖掘过程机理, 提高生物多样性监测的信息化水平。     

遥感在生物多样性研究中的应用进展

随着人口的持续增长, 人类经济活动对自然资源的利用强度不断升级以及全球气候变暖, 全球物种正以前所未有的速度丧失, 生物多样性成为了全球关注的热点问题。传统生物多样性研究以地面调查方法为主, 重点关注物种或样地水平, 但无法满足景观尺度、区域尺度以及全球尺度的生物多样性保护和评估需求。遥感作为获取生物多样性信息的另一种手段, 近年来在生物多样性领域发展迅速, 其覆盖广、序列性以及可重复性等特点使之在大尺度生物多样性监测和制图以及评估方面具有极大优势。本文主要通过文献收集整理, 从观测手段、研究尺度、观测对象和生物多样性关注点等方面综述了遥感在生物多样性研究中的应用现状, 重点分析不同遥感平台的技术优势和局限性, 并探讨了未来遥感在生物多样性研究的应用趋势。遥感平台按观测高度可分为近地面遥感、航空遥感和卫星遥感, 能够获取样地-景观-区域-洲际-全球尺度的生物多样性信息。星载平台在生物多样性研究中应用最多, 航空遥感的应用研究偏少主要受飞行成本限制。近地面遥感作为一个新兴平台, 能够直接观测到物种的个体, 获取生物多样性关注的物种和种群信息, 是未来遥感在生物多样性应用中的发展方向。虽然遥感技术在生物多样性研究中的应用存在一定的局限性, 未来随着传感器发展和多源数据融合技术的完善, 遥感能更好地从多个尺度、全方位地服务于生物多样性保护和评估。     

生物多样性近地面遥感监测: 应用现状与前景展望

近年来中国生物多样性监测与研究网络(Sino BON)建设得到了快速发展, 为我国生物多样性长期监测和研究提供了良好的平台条件。其中, 以激光雷达技术为核心的近地面遥感平台, 作为Sino BON综合监测与管理中心的重要组成部分, 已研发形成了较为成熟的软、硬件技术体系, 可以提供林下地形建模, 林分高度、林分表面结构, 林窗或内部分界线, 郁闭度动态, 植被群落划分、群落内部精细空间结构, 单木高度与胸径, 冠层形态、周长和盖度, 物种识别, 亚米级三维景观图等数字产品, 从而能够为国家相关部门和研究单位开展多种时空尺度的生物多样性监测、评价和保护工作提供精准、高效的技术支持。本文首先介绍了遥感技术在生物多样性研究中的应用发展历史及最新趋势。然后在生物多样性遥感监测直接和间接两种方法研究进展基础之上, 总结了从遥感数据中可提取的重要生物多样性指标, 以及选择不同类型遥感数据源时需要考虑的时空尺度信息。在详细阐述NEON、CEOS、GEO BON等国际合作组织推动遥感技术开展生物多样性监测的过程中指明: 以无人机为代表的近地面遥感平台具有机动灵活、高效低廉和高分辨率的特点, 可在卫星平台、载人航空平台和地面常规调查平台之间架构起生物多样性信息尺度推绎不可或缺的中间桥梁, 将是未来生物多样性监测的一个重要手段。最后, 文章指出: Sino BON近地面遥感平台的逐步建设完善将为我国生物多样性监测提供全方位的立体定量化信息, 在促进我国生物多样性监测网络向跨尺度等级动态系统监测、多源信息集成、智能决策与服务的平台方向发展意义重大。     

Rapid adjustment of bird community compositions to local climatic variations and its functional consequences

The local spatial congruence between climate changes and community changes has rarely been studied over large areas. We proposed one of the first comprehensive frameworks tracking local changes in community composition related to climate changes. First, we investigated whether and how 12 years of changes in the local composition of bird communities were related to local climate variations. Then, we tested the consequences of this climate‐induced adjustment of communities on Grinnellian (habitat‐related) and Eltonian (function‐related) homogenization. A standardized protocol monitoring spatial and temporal trends of birds over France from 2001 to 2012 was used. For each plot and each year, we used the spring temperature and the spring precipitations and calculated three indices reflecting the thermal niche, the habitat specialization, and the functional originality of the species within a community. We then used a moving‐window approach to estimate the spatial distribution of the temporal trends in each of these indices and their congruency with local climatic variations. Temperature fluctuations and community dynamics were found to be highly variable in space, but their variations were finely congruent. More interestingly, the community adjustment to temperature variations was nonmonotonous. Instead, unexplained fluctuations in community composition were observed up to a certain threshold of climate change intensity, above which a change in community composition was observed. This shift corresponded to a significant decrease in the relative abundance of habitat specialists and functionally original species within communities, regardless of the direction of temperature change. The investigation of variations in climate and community responses appears to be a central step toward a better understanding of climate change effects on biodiversity. Our results suggest a fine‐scale and short‐term adjustment of community composition to temperature changes. Moreover, significant temperature variations seem to be responsible for both the Grinnellian and Eltonian aspects of functional homogenization.     

Lack of Congruence in Species Diversity Indices and Community Structures of Planktonic Groups Based on Local Environmental Factors

The importance of analyzing the determinants of biodiversity and community composition by using multiple trophic levels is well recognized; however, relevant data are lacking. In the present study, we investigated variations in species diversity indices and community structures of the plankton taxonomic groups–zooplankton, rotifers, ciliates, and phytoplankton–under a range of local environmental factors in pond ecosystems. For each planktonic group, we estimated the species diversity index by using linear models and analyzed the community structure by using canonical correspondence analysis. We showed that the species diversity indices and community structures varied among the planktonic groups and according to local environmental factors. The observed lack of congruence among the planktonic groups may have been caused by niche competition between groups with similar trophic guilds or by weak trophic interactions. Our findings highlight the difficulty of predicting total biodiversity within a system, based upon a single taxonomic group. Thus, to conserve the biodiversity of an ecosystem, it is crucial to consider variations in species diversity indices and community structures of different taxonomic groups, under a range of local conditions.     

Monitoring the impact of climate change on biodiversity: The challenge of megadiverse Mediterranean climate ecosystems

The Mediterranean climate regions of Western Australia and South Africa are recognized as global hot spots of diversity. Both are threatened by climate changes that are projected to have significant impacts on the quantity and variability of rainfall and affect key ecosystem drivers (e.g. fire regimes). This poses significant challenges to monitoring programs designed to detect these impacts. Effective monitoring of the impact of climate change on biodiversity (rather than individual species) requires a cross‐disciplinary, coordinated, focused and integrated approach. Ideally, this should involve a multidisciplinary team of specialists working to a common plan on the same set of plots. The contributions of ‘citizen scientists’ are potentially useful if well managed. Biodiversity per se (across all kingdoms of life, and including the levels of the gene, population and community) should be monitored, especially key species interactions and processes. Forestcheck is an example of such a program which has been applied in forests in south‐west Western Australia since 2001. In concert with measuring the direct impact of climate change on biodiversity and the indirect impact of factors that affect biodiversity (such as disease, invasive species, fire regime and habitat removal), there is a need for a proactive focus on creating, maintaining and monitoring resilience to climate change impacts in ecosystems. It is also necessary to monitor the effectiveness of management actions such as vegetation thinning, changes in fire regimes, species translocations and revegetation of farmland to link isolated protected areas in agricultural landscapes, remnant native vegetation in rangelands and extensive protected areas. A pluralist approach is recommended. This should include natural experiments, matched photographs where available, passive adaptive management, active adaptive management and traditional reductionist scientific investigation. The resultant synthesis of information from this range of sources is likely to be a predictive, robust and credible record of historical change.     

Standardized Assessment of Biodiversity Trends in Tropical Forest Protected Areas: The End Is Not in Sight

Extinction rates in the Anthropocene are three orders of magnitude higher than background and disproportionately occur in the tropics, home of half the world’s species. Despite global efforts to combat tropical species extinctions, lack of high-quality, objective information on tropical biodiversity has hampered quantitative evaluation of conservation strategies. In particular, the scarcity of population-level monitoring in tropical forests has stymied assessment of biodiversity outcomes, such as the status and trends of animal populations in protected areas. Here, we evaluate occupancy trends for 511 populations of terrestrial mammals and birds, representing 244 species from 15 tropical forest protected areas on three continents. For the first time to our knowledge, we use annual surveys from tropical forests worldwide that employ a standardized camera trapping protocol, and we compute data analytics that correct for imperfect detection. We found that occupancy declined in 22%, increased in 17%, and exhibited no change in 22% of populations during the last 3–8 years, while 39% of populations were detected too infrequently to assess occupancy changes. Despite extensive variability in occupancy trends, these 15 tropical protected areas have not exhibited systematic declines in biodiversity (i.e., occupancy, richness, or evenness) at the community level. Our results differ from reports of widespread biodiversity declines based on aggregated secondary data and expert opinion and suggest less extreme deterioration in tropical forest protected areas. We simultaneously fill an important conservation data gap and demonstrate the value of large-scale monitoring infrastructure and powerful analytics, which can be scaled to incorporate additional sites, ecosystems, and monitoring methods. In an era of catastrophic biodiversity loss, robust indicators produced from standardized monitoring infrastructure are critical to accurately assess population outcomes and identify conservation strategies that can avert biodiversity collapse.     

Rapid biodiversity assessment and monitoring method for highly diverse benthic communities: a case study of mediterranean coralligenous outcrops

Increasing anthropogenic pressures urge enhanced knowledge and understanding of the current state of marine biodiversity. This baseline information is pivotal to explore present trends, detect future modifications and propose adequate management actions for marine ecosystems. Coralligenous outcrops are a highly diverse and structurally complex deep-water habitat faced with major threats in the Mediterranean Sea. Despite its ecological, aesthetic and economic value, coralligenous biodiversity patterns are still poorly understood. There is currently no single sampling method that has been demonstrated to be sufficiently representative to ensure adequate community assessment and monitoring in this habitat. Therefore, we propose a rapid non-destructive protocol for biodiversity assessment and monitoring of coralligenous outcrops providing good estimates of its structure and species composition, based on photographic sampling and the determination of presence/absence of macrobenthic species. We used an extensive photographic survey, covering several spatial scales (100s of m to 100s of km) within the NW Mediterranean and including 2 different coralligenous assemblages: Paramuricea clavata (PCA) and Corallium rubrum assemblage (CRA). This approach allowed us to determine the minimal sampling area for each assemblage (5000 cm(2) for PCA and 2500 cm(2) for CRA). In addition, we conclude that 3 replicates provide an optimal sampling effort in order to maximize the species number and to assess the main biodiversity patterns of studied assemblages in variability studies requiring replicates. We contend that the proposed sampling approach provides a valuable tool for management and conservation planning, monitoring and research programs focused on coralligenous outcrops, potentially also applicable in other benthic ecosystems.     

European species and habitat monitoring: where are we now?

Biodiversity now is considered a highly valuable material, providing manifold services of high importance for the well-being of humankind. However, biodiversity globally is rapidly diminishing and, despite efforts to halt the loss of biodiversity, positive effects are hardly visible. Biodiversity monitoring, the close observation of our natural environment, is imperative to determine the state and trend of organism populations and their habitats. Therefore, it has become a centrepiece of nature conservation across the globe. However, monitoring activities are not centrally coordinated, differ vastly in their monitoring targets, sampling designs, and human resource needs. This special issue on biodiversity and monitoring presents an overview of the current state of biodiversity monitoring in Europe, gives suggestions for the integration of monitoring data to improve the geographical and taxonomic coverage, deals with general methodological aspects of monitoring biodiversity across different geographic scales, the involvement of the public in monitoring activities, and provides some monitoring case studies. The special issue is aimed to provide recommendations and suggestions for more standardized monitoring approaches, and is mainly based on the findings of the EU-project EuMon.     

Linking Earth Observation and taxonomic,structural and functional biodiversity: Local to ecosystem perspectives

Impacts of human civilization on ecosystems threaten global biodiversity. In a changing environment, traditional in situ approaches to biodiversity monitoring have made significant steps forward to quantify and evaluate BD at many scales but still, these methods are limited to comparatively small areas. Earth observation (EO) techniques may provide a solution to overcome this shortcoming by measuring entities of interest at different spatial and temporal scales.This paper provides a comprehensive overview of the role of EO to detect, describe, explain, predict and assess biodiversity. Here, we focus on three main aspects related to biodiversity − taxonomic diversity, functional diversity and structural diversity, which integrate different levels of organization − molecular, genetic, individual, species, populations, communities, biomes, ecosystems and landscapes. In particular, we discuss the recording of taxonomic elements of biodiversity through the identification of animal and plant species. We highlight the importance of the spectral traits (ST) and spectral trait variations (STV) concept for EO-based biodiversity research. Furthermore we provide examples of spectral traits/spectral trait variations used in EO applications for quantifying taxonomic diversity, functional diversity and structural diversity. We discuss the use of EO to monitor biodiversity and habitat quality using different remote-sensing techniques. Finally, we suggest specifically important steps for a better integration of EO in biodiversity research.EO methods represent an affordable, repeatable and comparable method for measuring, describing, explaining and modelling taxonomic, functional and structural diversity. Upcoming sensor developments will provide opportunities to quantify spectral traits, currently not detectable with EO, and will surely help to describe biodiversity in more detail. Therefore, new concepts are needed to tightly integrate EO sensor networks with the identification of biodiversity. This will mean taking completely new directions in the future to link complex, large data, different approaches and models.     

转基因植物环境监测进展

近20年来,转基因植物的商业化应用规模越来越大,而转基因生物安全问题依然是转基因植物产业进一步发展的最主要制约因素。转基因植物在商业化应用之前虽然预先进行了风险评估,但是,包括环境监测在内的风险管理措施是确保转基因植物安全应用的必要手段。在转基因作物大规模应用近20年之后,其在靶标生物抗性、对生物多样性的影响、基因漂移、在生态系统中的长期存留等方面产生的环境风险已经渐渐显现出来,表明风险评估无法为转基因植物应用提供足够的安全保障,还必须通过开展系统而长期的环境监测,明确转基因植物在生产应用后的实际环境影响。联合国环境规划署和欧盟等已经制定了转基因植物环境监测的法规和技术指南,一些国家实施了系统的转基因植物环境监测。对转基因植物所产生的环境风险以及环境监测应包括的内容进行了综述。     

Monitoring change in aquatic invertebrate biodiversity: sample size, faunal elements and analytical methods

Replication is usually regarded as an integral part of biological sampling, yet the cost of extensive within-wetland replication prohibits its use in broad-scale monitoring of trends in aquatic invertebrate biodiversity. In this paper, we report results of testing an alternative protocol, whereby only two samples are collected from a wetland per monitoring event and then analysed using ordination to detect any changes in invertebrate biodiversity over time. Simulated data suggested ordination of combined data from the two samples would detect 20% species turnover and be a cost-effective method of monitoring changes in biodiversity, whereas power analyses showed about 10 samples were required to detect 20% change in species richness using ANOVA. Errors will be higher if years with extreme climatic events (e.g. drought), which often have dramatic short-term effects on invertebrate communities, are included in analyses. We also suggest that protocols for monitoring aquatic invertebrate biodiversity should include microinvertebrates. Almost half the species collected from the wetlands in this study were microinvertebrates and their biodiversity was poorly predicted by macroinvertebrate data.     

The composite insect trap: an innovative combination trap for biologically diverse sampling

Documentation of insect diversity is an important component of the study of biodiversity, community dynamics, and global change. Accurate identification of insects usually requires catching individuals for close inspection. However, because insects are so diverse, most trapping methods are specifically tailored to a particular taxonomic group. For scientists interested in the broadest possible spectrum of insect taxa, whether for long term monitoring of an ecosystem or for a species inventory, the use of several different trapping methods is usually necessary. We describe a novel composite method for capturing a diverse spectrum of insect taxa. The Composite Insect Trap incorporates elements from four different existing trapping methods: the cone trap, malaise trap, pan trap, and flight intercept trap. It is affordable, resistant, easy to assemble and disassemble, and collects a wide variety of insect taxa. Here we describe the design, construction, and effectiveness of the Composite Insect Trap tested during a study of insect diversity. The trap catches a broad array of insects and can eliminate the need to use multiple trap types in biodiversity studies. We propose that the Composite Insect Trap is a useful addition to the trapping methods currently available to ecologists and will be extremely effective for monitoring community level dynamics, biodiversity assessment, and conservation and restoration work. In addition, the Composite Insect Trap will be of use to other insect specialists, such as taxonomists, that are interested in describing the insect taxa in a given area.     

Linking dispersal, immigration and scale in the neutral theory of biodiversity

In the classic spatially implicit formulation of Hubbell's neutral theory of biodiversity a local community receives immigrants from a metacommunity operating on a relatively slow timescale, and dispersal into the local community is governed by an immigration parameter m . A current problem with neutral theory is that m lacks a clear biological interpretation. Here, we derive analytical expressions that relate the immigration parameter m to the geometry of the plot defining the local community and the parameters of a dispersal kernel. Our results facilitate more rigorous and extensive tests of the neutral theory: we conduct a test of neutral theory by comparing estimates of m derived from fits to empirical species abundance distributions to those derived from dispersal kernels and find acceptable correspondence; and we generate a new prediction of neutral theory by investigating how the shapes of species abundance distributions change theoretically as the spatial scale of observation changes. We also discuss how our main analytical results can be used to assess the error in the mean-field approximations associated with spatially implicit formulations of neutral theory.