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Addressing climate change risks requires collaboration and engagement across all sectors of society. In particular, effective partnerships are needed between research scientists producing new knowledge, policy-makers and practitioners who apply conservation actions on the ground. We describe the implementation of a model for increasing the application and useability of biodiversity research in climate adaptation policy and practice. The focus of the program was to increase the ability of a state government agency and natural resource practitioners in Australia to manage and protect biodiversity in a changing climate. The model comprised a five-stage process for enhancing impact (i) initiation of research projects that addressed priority conservation policy and management issues; (ii) co-design of the research using a collaborative approach involving multiple stakeholders; (iii) implementation of the research and design of decision tools and web-based resources; (iv) collaborative dissemination of the tools and resources via government and community working groups; and (v) evaluation of research impact. We report on the model development and implementation, and critically reflect on the model's impact. We share the lessons learnt from the challenges of operating within a stakeholder group with diverse objectives and criteria for success, and provide a template for creating an environmental research program with real world impact., (© 2021 John Wiley & Sons Ltd.)

Conservation strategies based on charismatic flagship species, such as tigers, lions, and elephants, successfully attract funding from individuals and corporate donors. However, critics of this species-focused approach argue it wastes resources and often does not benefit broader biodiversity. If true, then the best way of raising conservation funds excludes the best way of spending it. Here we show that this conundrum can be resolved, and that the flagship species approach does not impede cost-effective conservation. Through a tailored prioritization approach, we identify places containing flagship species while also maximizing global biodiversity representation (based on 19,616 terrestrial and freshwater species). We then compare these results to scenarios that only maximized biodiversity representation, and demonstrate that our flagship-based approach achieves 79-89% of our objective. This provides strong evidence that prudently selected flagships can both raise funds for conservation and help target where these resources are best spent to conserve biodiversity.

Climate change over the past approximately 30 years has produced numerous shifts in the distributions and abundances of species and has been implicated in one species-level extinction. Using projections of species' distributions for future climate scenarios, we assess extinction risks for sample regions that cover some 20% of the Earth's terrestrial surface. Exploring three approaches in which the estimated probability of extinction shows a power-law relationship with geographical range size, we predict, on the basis of mid-range climate-warming scenarios for 2050, that 15-37% of species in our sample of regions and taxa will be 'committed to extinction'. When the average of the three methods and two dispersal scenarios is taken, minimal climate-warming scenarios produce lower projections of species committed to extinction ( approximately 18%) than mid-range ( approximately 24%) and maximum-change ( approximately 35%) scenarios. These estimates show the importance of rapid implementation of technologies to decrease greenhouse gas emissions and strategies for carbon sequestration.

Aim: Recent unprecedented efforts to digitise and mobilise biodiversity data have resulted in the generation of 'biodiversity big data', enabling ecological research at scales previously not possible. However, gaps, biases and uncertainties in these data influence analytical outcomes and the validity of scientific research and conservation actions. Here, we estimated tree species inventory completeness globally and identified where future surveys should focus to maximise regional inventories. Location: Global. Methods: We analysed spatial patterns in sampling effort of tree species occurrence records from the Global Biodiversity and Information Facility (GBIF) and estimated global tree species inventory completeness for 100 × 100 km grid cells (sampling units) and ecoregions. We also identified forested areas for future botanical exploration, by examining the spatial overlap between inventory completeness, remaining natural habitat and protected areas and degrees of forest modification by anthropogenic pressure (forest integrity). Results: Spatial patterns in sampling effort and tree species inventory completeness were unevenly distributed around the world. Only 35% of ecoregions and 18% of sampling units can be considered well surveyed, most of which were concentrated in the Global North, including Europe, North America and Australia. Large areas in species‐rich tropical regions, especially in Southeast Asia, remained poorly documented. Moreover, our results showed that many areas with low inventory completeness overlapped with ecoregions retaining less than 50% of natural habitat and protected land area, as well as sampling units with low forest integrity. Main Conclusions: Due to limitations in biodiversity data, simply sampling more will not necessarily lead to increasing knowledge. We illustrated how gaps in these data can be used to improve existing knowledge by identifying priority areas for future surveys. With ongoing anthropogenic impacts and escalating rates of biodiversity loss, limited resources should be allocated to strategically survey regions likely to yield new knowledge and improve biodiversity representativeness. [ABSTRACT FROM AUTHOR]

Motivation: The Global Urban Tree Inventory (GUTI) is a compilation of datasets on tree species found in cities and towns throughout the world. GUTI data can be used to address a diverse range of theoretical and applied investigations related to species' biogeography and distribution, ecological and physiological tolerance to climatic, biophysical and environmental parameters, as well as plant conservation and invasion. Main types of variables contained: GUTI contains current taxonomic data for 4,734 tree species planted in urban areas, their conservation status [International Union for Conservation of Nature's (IUCN's) Red List of Threatened Species] and invasion potential (Global Register of Introduced and Invasive Species). Spatial location and grain: Four hundred and seventy‐three urban areas in seventy‐three countries across five continents. The urban areas spanned 21 of 29 Koppen–Geiger climatic zones, and all 19 Food and Agriculture Organization of the United Nations global ecofloristic zones. Time period and grain: GUTI is based on the most recent collections of urban tree inventories and species lists compiled by local authorities or reported in the scientific literature. Most data have been collected or updated since 2010. Major taxa and level of measurement: Four thousand seven hundred and thirty‐four tree species (c. 8% of the global known arboreal flora). One‐tenth of these tree species face conservation risk in the wild, whereas 327 species are known to have invasion potential. Software format:.xls file. [ABSTRACT FROM AUTHOR]

Protected areas are the primary strategy for maintaining natural landscapes and separating biodiversity features from preventable anthropogenic threats. The Convention on Biological Diversity calls for the coverage of at least 17% of land by protected areas, and the strategic prioritization of important biodiversity areas. Using the spatially explicit reserve design software, Marxan, this study combines climate refugia modelled under future climates in the year 2070 and bioregions to identify priority sites for protected area expansion under climate change in the state of New South Wales (NSW), Australia. Priority sites for new protected areas that meet bioregion and climate refugia targets were identified in central-western, northeast and patches of southeast NSW. Seven existing parks, including Kosciuszko National Park, overlapped with regions identified repeatedly as climate refugia under 12 future climate scenarios. The recommendations from this study support policy-makers in prioritizing the protection of biodiversity under a changing and uncertain climate. [ABSTRACT FROM AUTHOR]

Advances in computing power and infrastructure, increases in the number and size of ecological and environmental datasets, and the number and type of data collection methods, are revolutionizing the field of Ecology. To integrate these advances, virtual laboratories offer a unique tool to facilitate, expedite, and accelerate research into the impacts of climate change on biodiversity. We introduce the uniquely cloud-based Biodiversity and Climate Change Virtual Laboratory (BCCVL), which provides access to numerous species distribution modelling tools; a large and growing collection of biological, climate, and other environmental datasets; and a variety of experiment types to conduct research into the impact of climate change on biodiversity. Users can upload and share datasets, potentially increasing collaboration, cross-fertilisation of ideas, and innovation among the user community. Feedback confirms that the BCCVL's goals of lowering the technical requirements for species distribution modelling, and reducing time spent on such research, are being met. [ABSTRACT FROM AUTHOR]

Aim Species distribution models are an invaluable tool for anticipating the potential range of invasive species. These models often improve when both native and non-native occurrences are available for model development and validation. Therefore, how might ecologists anticipate the potential distributions for emerging invasive species that lack any or abundant non-native range occurrences? Here, we evaluate the recent suggestion of transferring niche shifts from well-established 'avatar' invaders to emerging invaders by testing if ensemble niche shifts from a group of globally invasive plants improve model predictions when each of these species is iteratively treated as an 'emerging' invader. Location Global. Methods We built species distribution models using Mahalanobis distance and four climatic predictors (maximum and minimum temperature and precipitation) for 26 invasive terrestrial plants from an Australian priority list of weeds. Models using only native range occurrences for each species were modified with avatar niche shifts from the remaining ensemble of 25 species based on both a typical (median) niche shift and a large (extreme) niche shift (or niche expansion). Native range and both median and extreme avatar models were then compared with total range models (developed with both native and non-native occurrences) for performance by measures of discrimination and an approximation of calibration. Results Avatar niche shifts reduced errors of omission for known non-native occurrences relative to native range models, with a trade-off of increased errors of commission of lesser magnitude. Further, our approximation of model calibration measured relative to total range models improved with avatar niche shifts. Differences between native range and avatar models were most pronounced for the larger 'extreme' avatar niche shifts (or expansion) based on increased niche size and decreased (towards 0) covariance among climatic axes. Main conclusions We suggest that researchers and managers evaluating risk of invasion of their jurisdiction by emerging data-poor invaders modify native range models with observed avatar niche shifts from ensembles of well-studied invaders. Alternative implementations of the avatar invader concept are discussed and research needs for methodological improvements proposed. Despite these opportunities for improved implementation of avatar niche shifts, ample evidence now supports that researchers should expect models based on only native ranges to underestimate or misrepresent the total range for data-poor emerging invaders. Avatar niche shifts (and specifically expansion) from well-studied species offer a precautionary means to anticipate the extent to which native range models may underestimate total ranges. [ABSTRACT FROM AUTHOR]

Aim Spatially-explicit trends in species richness and endemism on sandy shores are quantified to assess representation of beach ecosystems in existing reserve networks. Also, the relative importance of different drivers of species distributions are compared through species distribution modelling. Location The South African beaches are among the best-studied in the world, providing sufficient biological data for the analyses. There is also a well-established coastal protected-area network that putatively provides moderate protection to nearly all beach habitats. Methods Species distribution maps of beach-dependent vertebrates, macrofauna, microflora, and foredune vegetation were compiled from existing sources or modelled using standard techniques. While some data were available for the latter analyses, additional sampling was required to improve bioregional coverage. Each species' distribution was coded to a detailed map of the South African shoreline. Representation of habitats and species in various configurations of existing reserves was determined. Results Overall, 535 species have been recorded on the South African sandy shores, including 139 common species. Endemism is variable among taxonomic groups. Notably, two-thirds of the macrofauna are regional endemics, half of which are endemic to South Africa. For almost all of the common species, < 20 % of their distributions are protected in land-sea reserves. Protection of beach habitats is similarly poor; conservation targets were not met in all cases, and most habitat types are considered Poorly Protected. Main conclusions Sandy beach communities are considerably more diverse than they are generally acknowledged to be, and comprise a unique suite of biota. Given the species' narrow distributions and high degree of exposure to threats, many probably qualify as threatened/endangered. In spite of this, beaches are poorly represented in coastal reserve networks. To redress this issue, conservation planners need to account for beaches specifically, and to ensure they are represented in contiguous land-sea protected areas. [ABSTRACT FROM AUTHOR]