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• SALCA BD was adapted to assess the impact on biodiversity in vegetables production. • Vegetables with similar characteristics are grouped into a single habitat. • We highlighted the role of semi-natural habitats for enhancing biodiversity. Biodiversity loss in agricultural landscapes due to intensification of agriculture and degradation and loss of semi-natural habitats is a major issue that life cycle assessment (LCA) methods intend to address. No current LCA method is able to assess and compare impacts on the biodiversity of vegetable production systems as a function of farming practices and the local context. Based on a literature review and consultation with experts, the SALCA-BD expert system, originally designed to assess impacts on the biodiversity of cropland and grassland at field, rotation, and farm levels, was adapted to vegetable production systems. SALCA-BD is based on an inventory of the habitats found on a farm and a list of practices that can be implemented in these habitats. We distinguished an open field and a greenhouse as two distinct "level I" habitats, as a habitat's openness favours the exchange of species with surrounding habitats. These two habitats were subdivided into "level II" habitats that corresponded to vegetable crops. Given the many types of vegetables, we used a clustering method to create a few categories that grouped vegetables that had similar potential to host biodiversity. We created a category for intercropped vegetables for fields in which multiple vegetables are grown at the same time, which is common on microfarms. We tested the expert system at field and farm levels using scenarios and a farm case study. We quantified effects of changes to individual practices and practice intensities at the field level on biodiversity. The results highlighted the importance of semi-natural habitats for preserving biodiversity, in addition to low-intensity practices, which indicates that assessment at the farm level is more informative than that at the field level. Because it considers habitats and practices in detail, SALCA-BD is useful for assessing biodiversity at field and farm levels and for comparing farming systems with the same land use and type of management (organic or conventional), which other LCA methods for assessing biodiversity cannot do. Field size, which is a driver of biodiversity, is considered indirectly only when semi-natural habitats are included. As SALCA-BD does not consider impacts of the background system, combining SALCA-BD with comprehensive methods for assessing impacts on biodiversity is a promising perspective for more complete assessment. [ABSTRACT FROM AUTHOR]

Motivation and objective: Because biodiversity conservation in forest management planning is necessary for ensuring regular ecosystem functioning, resilience and sustainability, the specific objective of this research was to quantify biodiversity at the landscape level in a forest plantation. Case study: Vale de Sousa, Forest Intervention Zone (ZIF), is located in the North of Portugal. ZIFs were formed all over the county with the objective to prevent forest fires, desertification and the abandonment of rural areas. The total case study area is 14.773 ha, mainly covered by plantation forests. The predominant forest species are maritime pine (Pinus pinaster) and blue gum (Eucalyptus globulus) either as pure or mixed stands. Methods:Fuzzy-logic system can serve as a platform for bundling expert knowledge on estimating ecosystem services provision and examining the consequences of contradictory expert views. The method was used to evaluate biodiversity as was recently proposed and demonstrated by Biber et al. (2018) in the context of the European Union (EU) project ALTERFOR (Alternative models and robust decision-making for future forest management - https://www.alterfor-project.eu/key-facts.html). In this study, we applied a fuzzy-logic approach for testing three biodiversity indicators: resident birds, heterogeneity of tree species diameter, and tree and shrub species richness. This approach generates scores for the rotation period of each plantation species between 0 (very low) and 1 (very high) for biodiversity categories. It also allows qualitative value rules regarding the above indicators. Scores are established according to stakeholder's knowledge and validated by experts. Initially, the scores for each indicator are expressed as coloured matrices, but a final fuzzy output of biodiversity is expressed as a score between 0 and 1. Results: Our fuzzy outputs demonstrated low scores for biodiversity in monoculture stands, but medium scores in mixed stands. Tree and shrub species richness and diameter heterogeneity have low scores in analysed plantations but need to be tested in other forest types. However, the score for resident birds had medium values in monoculture forests, but due to the low score of the other biodiversity indicators, the overall biodiversity score is low. Conclusion: The results demonstrate that monocultures have the lowest score for biodiversity due to the zero level of all biodiversity indicators after the clear cut. Mixed stands have different periods of clear cut and this contributes to a higher score for biodiversity in general (fuzzy output). The fuzzy-logic approach is a very useful tool that may contribute to include biodiversity conservation in forest management decisions. This approach can be potentially used for the assessment of other biodiversity indicators (e.g. deadwood, large trees) in other forest types (including semi-natural and natural forests). [ABSTRACT FROM AUTHOR]

En este trabajo, se aplican indicadores de conocimiento sobre biodiversidad para el diagnóstico de la colección de Cynipoidea del Museo de La Plata, Argentina, con el fin de trazar objetivos y políticas futuras respecto de la misma. Los indicadores usados fueron los de identificación taxonómica, representatividad taxonómica y geográfica, y el porcentaje de asociaciones biológicas; éstos arrojaron los siguientes resultados: el 75% de ejemplares están identificados a nivel especie, cuenta con una representatividad taxonómica del 100 % de la familias, el 100 % de las subfamilias, el 58 % de los géneros y el 15% de las especies presentes en la región Neotropical. El grupo mejor representado es el de Figitidae Eucoilinae tanto cuantitativa como cualitativamente. La representatividad geográfica es del 78% respecto de Argentina y del 33% respecto del Neotrópico. Sólo se conocen los hospedadores del 32% de los ejemplares conservados.In this paper we apply biodiversity indicators for the diagnosis of the Cynipoidea collection of Museo de La Plata, Argentina, in order to set objectives and future policies regarding this collection. The indicators used, taxonomic identification, taxonomic and geographic representativeness and the percentage of biologic associations, showed the following results: 75% of specimens identified to species level; taxonomic representativeness of taxa present in the Neotropical region, as follows: families 100%, subfamilies 100%, genera 58% and species 15%; the best represented group quantitatively as well as qualitatively is Figitidae Eucoilinae. Geographic representativeness is 78% for Argentina and 33% for the Neotropics. Only 32% of the hosts of the preserved specimens are known.

Analysis was made of 3,923 records of 162 wild Passiflora specimens to assess the distribution of their diversity in Colombia, identify collection gaps, and explore their potential as indicator species. Despite variable collecting density among and within biogeographic regions, the Andean region clearly presents a higher species richness, particularly in the central coffee growing zone and the departments of Antioquia, Cundinamarca and Valle del Cauca. The elevational distribution of diversity shows a small peak below 500 m, and two higher ones between 1,000–2,000 and 2,500–3,000 m. This pattern corresponds to divergent adaptive trends among infrageneric divisions. The analysis on 19 climatic variables showed that the two principal variance components, explaining 77 percent of the total, are respectively associated with temperature and precipitation, without influence of seasonality. Distribution parameters allow recognizing more than 36 narrow endemics. Prediction of species distribution showed nine areas with very high richness (predicted sympatry of 41 to 54 species) in the Andean region, three of which correspond to collection gaps. Endemics were not particularly frequent there, so a prioritization of protected areas based on species richness would not favor their conservation. The sites with high Passiflora diversity are poorly represented in the current system of protected areas. Instead, their striking correspondence with ecotopes of the coffee growing zone imposes a conservation strategy integrating agricultural and environmental management at the landscape level. Reciprocally, several traits of Passiflora species make them particularly suited as indicators for any effort of conservation or restoration in this region of importance for the country.

Many agricultural policies target the conservation of biodiversity worldwide. Result-based agri-environmental schemes can be more effective and efficient than the more commonly used action-based schemes. The efficiency of result-based schemes, and thus their likely inclusion in agricultural policy frameworks, depends critically on the indicators used to measure biodiversity. We investigate how biodiversity indicators for result-based schemes might be designed and implemented. To this end, we first conduct a systematic review of the scientific literature to identify the range of proposed biodiversity indicators. Second, we synthesize the currently used biodiversity indicators in existing result-based agri-environmental schemes. Third, we compare the proposed and implemented indicators. Fourth, we provide an overview of planned result-based schemes under the 2023–27 reform of the EU Common Agricultural policy. Fifth, we propose how the schemes and indicators might be improved by drawing from technological advances. Our analysis of proposed schemes shows that most schemes use vascular plants as indicators, representing plant species diversity in grassland. These indicators are designed and applied uniformly for large regions such as states or countries. Recently published papers propose more often indicators that consider more biodiversity aspects and are adapted to conditions at smaller scales. We observe similar patterns for currently implemented as for proposed schemes: They are using mostly vascular plants to represent grassland plant species diversity. Moreover, implemented schemes and their indicators are also rather simple in their design and not adapted to smaller regional conditions. More recently implemented schemes are taking both dimensions increasingly into account. Policymakers need to consider their objectives when choosing and designing biodiversity indicators and result-based schemes. They often face trade-offs between improving biodiversity and costs. Therefore, they need to decide which aspects of biodiversity should be considered and how many thresholds that trigger payments should be established. However, studies showed that some indicator designs allow policymakers to cost-effectively consider different aspects of biodiversity. Furthermore, policymakers need to select the indicators based on whether they want to conserve existing or restore lost biodiversity. Finally, new technologies can help improve the design and monitoring of biodiversity in the future. Our insights into proposed and implemented biodiversity indicators for result-based schemes provide guidelines for future policy design. Moreover, we show how technological advances can potentially improve biodiversity-oriented result-based agri-environmental schemes. [Display omitted] • We systematically review proposed biodiversity indicators for result-based agri-environmental schemes. • Additionally, we synthesize indicators currently used in result-based schemes. • Most studies and schemes focus on grasslands and plant species diversity using vascular plants as indicators. • Policymakers can draw upon various options to design their biodiversity indicators. • Technological advances could improve the design and monitoring of biodiversity indicators. [ABSTRACT FROM AUTHOR]

A research study of the ecosystem biodiversity of the Central Federal District (CFD) has been carried out at the regional level with the use of the map of vegetation in the terrestrial ecosystems, which was created on the basis of the high spatial resolution (30 m) data obtained from the Landsat satellite series. Numerical characteristics such as the areas of the forest and other terrestral ecosystems; the number of forest plots; their average areas in a federal region; the disturbed forest land areas over the past 5 years; the proportions of the coniferous, deciduous, and mixed forests; and the total number of ecosystem types found in the federal region are calculated for each federal region in the Russian Federation within the CFD. The dominant landscape type is defined using a regular grid whose cell size matches the size of the average basal area of the forest plot on the vegetation map. The areas of the forest, agricultural, grassland, and agro-forest landscapes within each grid cell are estimated. The dominant landscape areas are assessed for each federal region; the analysis reveals that, on average, a quarter of all land areas in the district are occupied by agroforest landscapes. A logical sequence of research activities has been presented to assess the indicators of biodiversity in the forest and other terrestrial ecosystems and their functions and services. [ABSTRACT FROM AUTHOR]

The development of strategies for biodiversity analysis is critical at several levels, particularly at the national one. The World Conference on Biological Diversity held in Rio de Janeiro in 1992, the European Natura 2000 network and the Environmental Conference of the Regions of Europe (EN.CO.RE) brought forward several measures aiming at the preservation of Biodiversity. Targets for biodiversity preservation include protected areas among others. Accordingly, the analysis of the degree of biodiversity of protected areas proves to be a valid tool to evaluate the effectiveness of those measures. The present manuscript analyses the degree of some relevant features of biodiversity in the Region of Tuscany, through the implementation of multidimensional indicators in a Spatial MultiCriteria Analysis. After a state of the art of biodiversity definition, four indicators have been used for the analysis. A raster map in which pixels have higher or lower values of biodiversity was produced in order to investigate which of these values might be located in protected areas. Protected areas with high value of biodiversity confirmed that the adopted environmental policies are positively related to the conservation of biodiversity. The result of the analysis, corroborated through auto-correlational statistical analysis, has highlighted the important role of protected areas in maintaining a certain degree of biodiversity. [ABSTRACT FROM AUTHOR]

In the context of the System for Environmental-Economic Accounting, biodiversity accounting is being developed as a tool to monitor and increase the understanding of human impacts on biodiversity. Biodiversity accounting aims to structurally measure, monitor and map changes in multiple biodiversity components, as an integral part of a larger system of ecosystem accounts. Both indicators relevant for ecosystem functioning and indicators that reflect the non-use values of biodiversity can be included in biodiversity accounting. In this paper we focus on the latter, and we test the potential applicability of a set of species indicators for developing a biodiversity account in Limburg province, the Netherlands. In particular, we map and analyse a range of indicators reflecting species richness, the presence of rare and threatened species and species diversity. We test spatial correlation to identify the minimum set of indicators that would need to be included in the account. We also evaluate individual indicators using eight different criteria. We show that, in Limburg province, a set of indicators covering at least five species groups is required, and that it would be most meaningful to have indicators reflecting the occurrence of threatened species. However, data availability as well as the most suitable set of indicators are likely to differ between areas, and case studies in other countries are required to support the selection of indicators for biodiversity accounting in an international framework. [ABSTRACT FROM AUTHOR]

Suggestions that novel, non-food, dedicated biomass crops used to produce bioenergy may provide opportunities to diversify and reinstate biodiversity in intensively managed farmland have not yet been fully tested at the landscape scale. Using two of the largest, currently available landscape-scale biodiversity data sets from arable and biomass bioenergy crops, we take a taxonomic and functional trait approach to quantify and contrast the consequences for biodiversity indicators of adopting dedicated biomass crops on land previously cultivated under annual, rotational arable cropping. The abundance and community compositions of biodiversity indicators in fields of break and cereal crops changed when planted with the dedicated biomass crops, miscanthus and short rotation coppiced ( SRC) willow. Weed biomass was consistently greater in the two dedicated biomass crops than in cereals, and invertebrate abundance was similarly consistently higher than in break crops. Using canonical variates analysis, we identified distinct plant and invertebrate taxa and trait-based communities in miscanthus and SRC willows, whereas break and cereal crops tended to form a single, composite community. Seedbanks were shown to reflect the longer term effects of crop management. Our study suggests that miscanthus and SRC willows, and the management associated with perennial cropping, would support significant amounts of biodiversity when compared with annual arable crops. We recommend the strategic planting of these perennial, dedicated biomass crops in arable farmland to increase landscape heterogeneity and enhance ecosystem function, and simultaneously work towards striking a balance between energy and food security. [ABSTRACT FROM AUTHOR]

The Convention on Biological Diversity uses six indicators to assess progress toward Aichi Biodiversity Target 14 (ecosystem services), leaving many elements of the target untracked. We identify 13 ecosystem services as directly essential for human well-being, and select a set of 21 datasets as indicators of the state of natural capital underpinning those services, the benefits derived from them, and distribution of access to those benefits. Analysis of these indicators supports previous conclusions that there is no overall progress toward Target 14. Sixty percent of our 'benefit' indicators have positive trends, whereas 86% of our 'state' indicators show a decline in natural capital. This suggests that well-being is increasing in the near-term despite environmental degradation, and that unsustainable use of natural capital may fuel human development. As regulating services such as 'soil fertility' continue to decline, however, it seems unlikely that this trend can continue without future negative impacts on humanity. [ABSTRACT FROM AUTHOR]

This study aims to establish a common Key Performance Indicators (KPIs) framework for reporting about the gypsum industry biodiversity at the European level. In order to integrate different opinions and to reach a consensus framework, an original participatory process approach has been developed among different stakeholder groups: Eurogypsum, European and regional authorities, university scientists, consulting offices, European and regional associations for the conservation of nature, and the extractive industry. The strategy is developed around four main steps: (1) building of a maximum set of indicators to be submitted to stakeholders based on the literature (Focus Group method); (2) evaluating the consensus about indicators through a policy Delphi survey aiming at the prioritization of indicator classes using the Analytic Hierarchy Process method (AHP) and of individual indicators; (3) testing acceptability and feasibility through analysis of Environmental Impact Assessments (EIAs) and visits to three European quarries; (4) Eurogypsum final decision and communication. The resulting framework contains a set of 11 indicators considered the most suitable for all the stakeholders. Our KPIs respond to European legislation and strategies for biodiversity. The framework aims at improving sustainability in quarries and at helping to manage biodiversity as well as to allow the creation of coherent reporting systems. The final goal is to allow for the definition of the actual biodiversity status of gypsum quarries and allow for enhancing it. The framework is adaptable to the local context of each gypsum quarry. [ABSTRACT FROM AUTHOR]

A study of diurnal Lepidoptera (Rhopalocera) populations was completed in 2015 in meadows cut for hay around the village of Sibiel, located 22 km from Sibiu, central Romania. From a combination of field survey and literature review the following meta and species trait data was aquired for each of the species collected: (1) Biogeographic region association; (2) Broad habitat type(s) preferred by adults, (3) National status (4) Altitudinal range (5) Flight period (6) IUCN Conservation status. (7) Larval food plants (8) Overwintering stage (9) Migratory status and (10) No. specimens collected (and location). There were 59 species collected from six families: Hesperioidea (7 species), Papilionidae (1 species), Pieridae (10 species), Lycaenidae (14 species), Nymphalidae (17 species) and Satyrinae (10 species). Butterflies repsond rapidly to environmental changes and are important indicators of the health of biodievrsity and the wider environment. This study has generated an important new baseline on the status of butterflies in the region, from which future changes can be measured and the impacts of anthropogenic pressures, such as cliamte change and agricultural intensification evaluated. [ABSTRACT FROM AUTHOR]

Reduced tillage has several advantages over conventional tillage (CT), including the promotion of earthworm communities and the reduction of input of energy and labour. However, its application in organic farming is mainly hindered through increasing weed pressure. One way to counteract this drawback might be to introduce occasional reduced tillage (ORT), which means applying methods of reduced tillage only in combination with selected crops. Against this background we hypothesized that (i) ORT rapidly promotes biomass, abundance and species richness of earthworm communities and that (ii) ORT generates a financial surplus for farmers. Therefore, a field experiment was established for triticale ( x Triticosecale ) cultivation on loamy soils in Northern Germany. The influence of tillage regimes on earthworms was investigated in a non-randomized design with n = 3 fields for the ORT and CT treatment. Earthworm biomass, abundance and species richness were investigated in October 2012 and in April and October 2013. Yields were determined for the three fields under each tillage system, each field with four non-randomized replicates, before harvest in 2013. The ORT treatment consisted of two to three tillage operations prior to seeding with a maximal cultivation depth of 15 cm and without ploughing, whereas the CT treatment consisted of a ploughing depth of 25–30 cm and one to four other steps for seedbed preparation prior to seeding. In total, seven earthworm species were identified. Our data revealed that earthworm biomass was significantly reduced under CT, both four weeks and about seven months after tillage. This effect holds true for the number of earthworm individuals in autumn (four weeks after ploughing), but not for the number of earthworm individuals in spring (seven months after ploughing). Results of contribution margin analysis showed no consistent trend referring to tillage measures. Two fields, which performed well under CT, showed a financial surplus (+24% and +13%) when managed with ORT. At the same time one field, performing poorly under CT, generated financial deficits (-10%) under ORT. Overall ORT had immediate positive effects on earthworm populations. Furthermore, this management scheme might have positive effects on the economic outcomes of organic crop rotations if overall growing conditions are sufficient. Along with methods usually applied to investigate earthworm performance, we checked whether the number of surface casts could help estimate earthworm performance. It became apparent that the number of surface casts cannot be used as a general predictor of earthworm performance. The number of individuals of Lumbricus terrestris , the number of anecic individuals and the total earthworm biomass can be estimated the most reliable by counting surface casts. [ABSTRACT FROM AUTHOR]

1. Peatlands are globally important habitats, which act as net carbon stores. As a result of drainage, peat extraction and agricultural intensification, raised bogs in the midlands of Ireland are a diminishing and increasingly fragmented peatland habitat. A network of protected sites has been established, which is intended to represent the best abiotic and plant community systems. 2. Lepidoteran communities are an important component of raised bog biodiversity and may be useful as biodiversity indicators, yet they are a neglected area of research. 3. We address this by surveying night-flying macro-moths on six protected and six degraded raised bogs to establish whether there is a distinct moth fauna associated with the wettest areas of protected sites by comparing them to assemblages found on degraded sites where this wet habitat has been lost. 4. In general, differences between moth assemblages on protected and degraded raised bogs are rather subtle, with assemblages on both site types generally similar. But, a number of species were found to be associated with protected sites, three of which are bog-associated species of conservation concern and may be particularly vulnerable due to the continuing loss of the wettest areas of raised bogs. 5. Degraded sites were found to harbour a significant number of bog-associated species of conservation concern and may have a role to play in peatland invertebrate conservation, hitherto undervalued. To determine this, further research is required to describe the invertebrate fauna of these sites and of marginal areas of protected sites. [ABSTRACT FROM AUTHOR]

Aim Land use change is one major threat to freshwater biodiversity, and land use change scenarios can help to assess threats from future land use change, thereby guiding proactive conservation decisions. Our goal was to identify which range-restricted freshwater fish species are most likely to be affected by land use change and to determine where threats to these species from future land use change in the conterminous United States are most pronounced. Location United States of America. Methods We focused on range-restricted freshwater fish species, identified which of these species are considered threatened based on either the International Union for the Conservation of Nature ( IUCN)'s Red List or the Endangered Species Act ( ESA), and compared their distributions to patterns of future land use changes by 2051 under three scenarios. Results We found that 14% of the range-restricted species had >30% of their distribution area occupied by intensive land use in 2001, and this number increased from 27 to 58% by 2051 depending on the land use scenario. Among the 57 species most likely to be strongly affected by intensive land use, only 26% of these species are currently listed as threatened on the IUCN Red List, and 12% are listed as threatened under the ESA. Main conclusions Our approach demonstrates the value of considering future land use change scenarios in extinction risk assessment frameworks and offers guidelines for how this could be achieved for future assessments. [ABSTRACT FROM AUTHOR]

As the recognition of the importance of biological diversity in biological conservation grows, an ongoing challenge is to develop metrics that can be used for effective conservation and management. The ecological integrity assessment has been proposed as such a metric. It is held by some to measure species composition, diversity, and habitat quality, as well as ecosystem structure, composition, and function. The methodology relies on proxy variables that include data on landscape characteristics such as patch size, abiotic factors such as hydrology, and some features of vegetation structure and composition. We suggest that the measure is flawed on four levels. First, its putative representation of general ecological form and function, and its lack of specific detail about how it actually represents those attributes, leaves the metric without the focus needed to be useful for measuring ecological features on the ground and testing associated hypotheses and predictions. Second, the proxy variables used to represent biological diversity, such as habitat (vegetation) metrics and vascular plant species diversity, are not empirically correlated with diversity of a range of taxa or of other components of the biota. Third, like other ecological indices that integrate many distinct features, the ecological integrity index is subject to the loss of information in its condensation of multi-dimensional variability into a one-dimensional index, and it may be subject to systematic bias from the conversion of raw data into categorical scores. Fourth, the sampling protocols are at risk of sampling bias, observer bias, and measurement error, any of which can confound the estimation of conservation value. In terms of biological diversity, the methodology produces an unreliable estimate of the number of vascular plant species and their relative percentages of occurrence, and an absence of any protocols for taxa other than plants. For these reasons we believe that ecological integrity assessment is currently of limited value as a measure of site-specific biological diversity and its change over time. A considerable amount of investigation is needed in order to have confidence in the results of an ecological integrity assessment, especially if it is to be used for regulatory purposes. We suggest further refinements and discuss alternative measures of biological diversity that provide reliable metrics for assessing change. A thoughtful choice among measures can help to identify the most appropriate assessment for conservation decisions. [ABSTRACT FROM AUTHOR]

The Finnish Red Lists from 2000 and 2010 were used to calculate for the first time the national Red List Index for the order Lepidoptera and different Lepidoptera families with data from 2245 species., We grouped species according to their primary habitats and analysed each habitat's RLI as well., The overall RLI was significantly negative, reflecting the worsening of the group as a whole in the country., A significant negative trend was found for families Tortricidae, Gelechiidae and Hesperiidae and for coastal habitats., We also report that 76 Lepidoptera species newly established a population in Finland between 2000 and 2010, probably expanding northwards driven by climate warming. [ABSTRACT FROM AUTHOR]

The impact of agricultural management on global biodiversity highlights the need for farm-scale monitoring programmes capable of determining the performance of agriculture practices. Yet the identification of appropriate indicators is a challenging process and one that involves considering a number of different aspects and requirements. Besides the attention given to scientific effectiveness, relevant but less studied issues related to biodiversity measurements include the economic feasibility of monitoring programmes and the relevance of indicators for different end-users. In this paper, we combine an analytic assessment of costs and a stakeholder-based evaluation of the usefulness of a set of biodiversity-related parameters (habitat mapping, vegetation, bees, earthworms, spiders, and a farmer questionnaire) tested for scientific consistency in 12 European case studies and on more than 14,000 ha of farmland. The results point to the possibility of meeting the expectations of different end-users (administrators, farmers and consumers) with a common indicator set. Combining costs and usefulness also suggests the possibility of designing more efficient monitoring approaches involving private agencies and networks of volunteers and farmers for the field data collection at different stages of a monitoring programme. Although complex, such an approach would make it possible to enhance the effectiveness of available funds for farmland biodiversity monitoring. [ABSTRACT FROM AUTHOR]

Global biodiversity indicators can be used to measure the status and trends of biodiversity relating to Convention on Biological Diversity (CBD) targets. Whether such indicators can support decision makers by distinguishing among policy options remains poorly evaluated. We tested the ability of two CBD indicators, the Living Planet Index and the Red List Index, to reflect projected changes in mammalian populations in sub-Saharan Africa in response to potential policies related to CBD targets for protected areas (PAs). We compared policy scenarios to expand the PA network, improve management effectiveness of the existing network, and combinations of the two, against business as usual. Both indicators showed that more effective management would provide greater benefits to biodiversity than expanding PAs alone. The indicators were able to communicate outcomes of modeled scenarios in a simple quantitative manner, but behaved differently. This work highlights both the considerable potential of indicators in supporting decisions, and the need to understand how indicators will respond as biodiversity changes. [ABSTRACT FROM AUTHOR]

To address the ongoing global biodiversity crisis, governments have set strategic objectives and have adopted indicators to monitor progress toward their achievement. Projecting the likely impacts on biodiversity of different policy decisions allows decision makers to understand if and how these targets can be met. We projected trends in two widely used indicators of population abundance Geometric Mean Abundance, equivalent to the Living Planet Index and extinction risk (the Red List Index) under different climate and land-use change scenarios. Testing these on terrestrial carnivore and ungulate species, we found that both indicators decline steadily, and by 2050, under a Business-as-usual (BAU) scenario, geometric mean population abundance declines by 18-35% while extinction risk increases for 8-23% of the species, depending on assumptions about species responses to climate change. BAU will therefore fail Convention on Biological Diversity target 12 of improving the conservation status of known threatened species. An alternative sustainable development scenario reduces both extinction risk and population losses compared with BAU and could lead to population increases. Our approach to model species responses to global changes brings the focus of scenarios directly to the species level, thus taking into account an additional dimension of biodiversity and paving the way for including stronger ecological foundations into future biodiversity scenario assessments. [ABSTRACT FROM AUTHOR]

• Macrofauna taxonomic richness is higher in seagrass meadows sediments. • Functional richness is enhanced only on meadows with the highest number of associated macrophytes. • Complex seagrass meadows provide higher resilience and plasticity to macrofauna communities. Seagrass has been widely recognized as ecosystem engineers and habitat-builders increasing biodiversity and abundance of associated fauna. However, seagrass habitats are being degraded globally due to modification of coastline, terrestrial inputs, and climate change. While the effects of seagrass meadows vegetation density on associated macrofauna standing stocks and taxonomic richness have been widely investigated, the relationships with functional diversity aspects remain poorly understood. Here, we investigate if macrofauna standing stocks and richness indicators (both taxonomic and functional) are related to the habitat-builders presence and structural characteristics (density, biomass, diversity) in temperate Zostera marina Linnaeus, 1753 meadows (Baltic Sea). Relationships between faunal (density, biomass, species and functional trait composition and diversity), vegetation and sediment indicators were tested based on materials collected by scuba divers. Macrofauna density (ranging from 587.6 ± 188.2 to 4514.1 ± 977.8 ind. 0.1 m−2), biomass (ranging from 43.1 ± 28.3 to 13.6 ± 30.8 g 0.1 m−2) and species richness (ranging from 7 ± 1.4 to 20 ± 1.4) responded positively to seagrass presence regardless of meadows characteristics. Functional trait richness ranged from 203.7 ± 64.3 to 44.7 ± 41.1 and was enhanced only in presence of the greatest macrophyte diversity. Therefore, it is the diversity of meadows that boosts the functional richness of associated fauna. This implies that 1) monospecies seagrass meadows do not necessarily provide a higher number of functions than neighboring bare sediments in systems with low diversity such as Baltic Sea, 2) both taxonomic and functional indicators should be used to describe macrofauna communities. This result is an important message for conservation planning for systems with low diversity, as restoration of at least a few macrophytes species not only the dominant seagrass species could be considered to secure greater taxonomic and functional richness. [ABSTRACT FROM AUTHOR]

The study verifies the usefulness of aquatic beetles as an indicator of biodiversity of a simple ecological system. Detailed analyses were carried out at the elementary level for the purpose of determining the significance of correlations between the biodiversity of Coleoptera and other groups of aquatic insects in single samples. The relation of selected taxa to selected habitats of the lake Wukśniki (north-eastern Poland) was also investigated. Moreover, the possibility of application of biodiversity surrogates, i.e. higher taxonomic units (genera and orders), in the determination of biodiversity was examined. A significant high correlation was determined between Coleoptera and the total remaining taxa (RR - Remaining Richness) in samples collected in the entire lake. The correlation has the highest value at the species level. The complementarity analysis reveals that the percentage contribution of Coleoptera in the overall biodiversity of the lake is similarly high at the species and genus level, and substantially lower at the family level. In accordance with the hypothesis, aquatic beetles can be used as indicators of the overall biodiversity of insects in the ecosystem of a mesotrophic lake. Biodiversity surrogates, i.e. higher taxonomic units (genera and families), can be applied instead of the species level. [ABSTRACT FROM AUTHOR]

At a global level, the relationship between biodiversity importance and capacity to manage it is often assumed to be negative, without much differentiation among the more than 200 countries and territories of the world. We examine this relationship using a database including terrestrial biodiversity, wealth and governance indicators for most countries. From these, principal components analysis was used to construct aggregated indicators at global and regional scales. Wealth, governance, and scientific capacity represent different skills and abilities in relation to biodiversity importance. Our results show that the relationship between biodiversity and the different factors is not simple: in most regions wealth and capacity varies positively with biodiversity, while governance vary negatively with biodiversity. However, these trends, to a certain extent, are concentrated in certain groups of nations and outlier countries. We discuss our results in the context of collaboration and joint efforts among biodiversity-rich countries and foreign agencies. [ABSTRACT FROM AUTHOR]

Biodiversity is globally recognised as a cornerstone of healthy ecosystems, and biodiversity conservation is increasingly becoming one of the important aims of environmental management. Evaluating the trade-offs of alternative management strategies requires quantitative estimates of the costs and benefits of their outcomes, including the value of biodiversity lost or preserved. This paper takes a decision-analytic standpoint, and reviews and discusses the alternative aspects of biodiversity valuation by dividing them into three categories: socio-cultural, economic, and ecological indicator approaches. We discuss the interplay between these three perspectives and suggest integrating them into an ecosystem-based management (EBM) framework, which permits us to acknowledge ecological systems as a rich mixture of interactive elements along with their social and economic aspects. In this holistic framework, socio-cultural preferences can serve as a tool to identify the ecosystem services most relevant to society, whereas monetary valuation offers more globally comparative and understandable values. Biodiversity indicators provide clear quantitative measures and information about the role of biodiversity in the functioning and health of ecosystems. In the multi-objective EBM approach proposed in the paper, biodiversity indicators serve to define threshold values (i.e., the minimum level required to maintain a healthy environment). An appropriate set of decision-making criteria and the best method for conducting the decision analysis depend on the context and the management problem in question. Therefore, we propose a sequence of steps to follow when quantitatively evaluating environmental management against biodiversity. [ABSTRACT FROM AUTHOR]

Cost-effective reduction of uncertainty in global biodiversity indicators is a central goal of conservation. Comprising a sixth of the 74 000+ species currently on the IUCN Red List, Data Deficient species contribute to considerable uncertainty in estimates of extinction risk. Estimating levels of risk in Data Deficient species will require large resources given the costs of surveys and Red List assessments. Predicting extinction risk from species traits and geographical information could provide a cheaper approach for determining the proportion of Data Deficient species at risk of extinction., We use double sampling theory to compare the cost-effectiveness of predictive models and IUCN Red List assessments for estimating risk levels in Data Deficient terrestrial mammals, amphibians, reptiles and crayfish. For each group, we calibrate machine learning models of extinction risk on species of known conservation status and assess their cost and reliability relative to field surveys followed by Red List assessments., We show that regardless of model type used or species group examined, it is always more cost-effective to determine the conservation status of all species with models and assess a small proportion of species with IUCN criteria (double sampling), rather than spend the same resources on field surveys and Red List assessments alone (single sampling)., We estimate that surveying and re-assessing all Data Deficient species currently listed on the IUCN Red List (12 206 species) with IUCN criteria would cost a minimum of US $323 million. Double sampling reduces the cost of determining the proportion of Data Deficient species at risk of extinction by up to 68%, because <6% of Data Deficient species would need to be surveyed and assessed with IUCN criteria., Synthesis and applications. Double sampling with models cost-effectively estimates extinction risk levels in poorly known species and can be used to reduce the impact of uncertainty in the Red List and Red List Index. We provide recommendations for uptake by managers and a sampling planner spreadsheet. Double sampling could be applied more widely in ecology and conservation to formally compare the cost-effectiveness of sampling methods differing in cost and reliability. [ABSTRACT FROM AUTHOR]

The International Union for Conservation of Nature (IUCN) Red List Index (RLI) is used to measure trends in extinction risk of species over time. The development of 2 red lists for Spanish vascular flora during the past decade allowed us to apply the IUCN RLI to vascular plants in an area belonging to a global biodiversity hotspot. We used the Spanish Red Lists from 2000 and 2010 to assess changes in level of threat at a national scale and at the subnational scales of Canary Islands, Balearic Islands, and peninsular Spain. We assigned retrospective IUCN categories of threat to 98 species included in the Spanish Red List of 2010 but absent in the Spanish Red List of 2000. In addition, we tested the effect of different random and taxonomic and spatial Spanish samples on the overall RLI value. From 2000 to 2010, the IUCN categories of 768 species changed (10% of Spanish flora), mainly due to improved knowledge (63%), modifications in IUCN criteria (14%), and changes in threat status (12%). All measured national and subnational RLI values decreased during this period, indicating a general decline in the conservation status of the Spanish vascular flora. The Canarian RLI value (0.84) was the lowest, although the fastest deterioration in conservation status occurred on peninsular Spain (from 0.93 in 2000 to 0.92 in 2010). The RLI values based on subsamples of the Spanish Red List were not representative of RLI values for the entire country, which would discourage the use of small areas or small taxonomic samples to assess general trends in the endangerment of national biotas. The role of the RLI in monitoring of changes in biodiversity at the global and regional scales needs further reassessment because additional areas and taxa are necessary to determine whether the index is sufficiently sensitive for use in assessing temporal changes in species' risk of extinction. [ABSTRACT FROM AUTHOR]

Land-use intensification is a key driver of biodiversity change. However, little is known a bout how it alters relationships between the diversities of different taxonomic groups, which are often correlated due to shared environmental drivers and trophic interactions. Using data from 150 grassland sites, we examined how land-use intensification (increased fertilization, higher livestock densities, and increased mowing frequency) altered correlations between the species richness of 15 plant, invertebrate, and vertebrate taxa. We found that 54% of pairwise correlations between taxonomic groups were significant and positive among all grasslands, while only one was negative. Higher land-use intensity substantially weak ened these correlations (35%decrease in rand 43%fewer significant pairwise correlations athighintensity), apattern which may emerge as a result of biodiversity declines and the breakdown of specialized relationships in these conditions. Nevertheless, some groups (Coleoptera, Heteroptera, Hymenoptera and Orthoptera) were consistently correlated with multidiversity, an aggregate measure of total biodiversity comprised of the standardized diversities of multiple taxa, at both high and lowland-use intensity. The form of intensification was also important; increased fertilizationand mowing frequency typically weakened plant-plantand plant-primary consumer correlations, where as grazing intensification did not. This may reflect decreased habitat heterogeneity under mowing and fertilization and increased habitat heterogeneity under grazing. While these results urge caution in using certain taxonomic groups to monitor impacts of agricultural management on biodiversity, they also suggest that the diversities of some groups are reasonably robust indicators of total biodiversity across a range of conditions. [ABSTRACT FROM AUTHOR]

Long-term exploitation of boreal ecosystems often results in a reduced range of ecological conditions that threatens several species. In most boreal jurisdictions, the northern extent of commercial forestry corresponds to economical rather than ecological considerations. Our general objective is to offer guidance for sustainable boreal forest management by using a biodiversity criterion based on three indicators. The first two indicators are part of a coarse filter referring to the proportion and fragmentation of tall, dense forest habitats, whereas a third one uses a fine filter for specific requirements of boreal caribou. We applied the methodology with and without anthropogenic disturbances on 1114 land districts to contrast the preindustrial potential and current capacity of Quebec's boreal forest to support forest management. Originally, 826 districts (74%) were above the 20% cutoff value for the minimum proportion of tall, dense forest habitats. Among the 567 districts currently under forest management, 45 did not reach this value because of past anthropogenic disturbances. Originally, 88% of the districts had sufficient undisturbed habitats to maintain caribou populations, but anthropogenic disturbances reduced this proportion to 51%. The proposed methodology could contribute to delineating areas where sustainable forest management can be implemented. Our results also clearly show that management targets of the last decades were insufficient to prevent loss of habitats below strict minimum ecological thresholds. Our approach offers a general framework that could be adapted to other forested regions to attain similar biodiversity conservation objectives. [ABSTRACT FROM AUTHOR]

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Valuation of ecosystem services has been advocated as a tool for communicating the importance of nature and biodiversity to policy makers. The complexity of the relationships between ecosystem functions and the biodiversity that supports them challenges conceptualization of ecosystem services and calls for comprehensive ecological frameworks as basis for valuation and policy. In this article, we discuss relationships between biodiversity and ecosystem services in the context of the Nature Index for Norway, recently developed as a biodiversity measurement framework. We suggest supplementing the Nature Index by complementary indicators for ecosystem services, in order to consider how the ecosystem services approach as a policy tool can be enhanced by taking into account an ecological framework for biodiversity measurement. [ABSTRACT FROM AUTHOR]

Butterflies are an important indicator of the impacts of environmental change. Butterfly monitoring schemes (BMS) have provided national and Europe-wide trends in their abundance and been widely used for research. Most schemes sample sites that are self-selected by contributors and therefore tend to cover locations that are rich in butterflies. To provide a more representative assessment of butterfly populations, the wider countryside butterfly survey (WCBS) was developed with a stratified-random sample of survey sites across the UK. We compare butterfly trends from the WCBS locations against those measured from traditional butterfly transects which are typically located in areas of good quality semi-natural habitats. Across the 26 species analysed, there was a significant positive relationship between trends measured from the two schemes between 2009 and 2013, the period when both schemes were operating fully. There was a tendency (17 out of 26 species analysed) for these changes to be greater within WCBS compared to traditional BMS transects, although this effect was not consistent across comparisons between pairs of consecutive years. When assessing these individual year-to-year changes, there was however a significant correlation between the two schemes in all cases. Over relatively short time periods, weather patterns are likely to dominate butterfly population fluctuations and lead to comparable trends across monitoring schemes. Over longer time periods, differences in land management may affect habitat condition differently for protected areas versus the wider countryside and it is therefore important to maintain comprehensive butterfly monitoring programmes to detect and interpret such effects. [ABSTRACT FROM AUTHOR]

Ecosystems are under increasing pressure from human activities, with land use and land-use change at the forefront of the drivers that provoke global and regional biodiversity loss. The first step in addressing the challenge of how to reverse the negative outlook for the coming years starts with measuring environmental loss rates and assigning responsibilities. Pinpointing the global pressures on biodiversity is a task best addressed using holistic models such as Life Cycle Assessment ( LCA). LCA is the leading method for calculating cradle-to-grave environmental impacts of products and services; it is actively promoted by many public policies, and integrated as part of environmental information systems within private companies. LCA already deals with the potential biodiversity impacts of land use, but there are significant obstacles to overcome before its models grasp the full reach of the phenomena involved. In this review, we discuss some pressing issues that need to be addressed. LCA mainly introduces biodiversity as an endpoint category modeled as a loss in species richness due to the conversion and use of land over time and space. The functional and population effects on biodiversity are mostly absent due to the emphasis on species accumulation with limited geographic and taxonomical reach. Current land-use modeling activities that use biodiversity indicators tend to oversimplify the real dynamics and complexity of the interactions of species among each other and with their habitats. To identify the main areas for improvement, we systematically reviewed LCA studies on land use that had findings related to global change and conservation ecology. We provide suggestion as to how to address some of the issues raised. Our overall objective was to encourage companies to monitor and take concrete steps to address the impacts of land use on biodiversity on a broader geographical scale and along increasingly globalized supply chains. [ABSTRACT FROM AUTHOR]