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Bennett, J. R.

Publications and source records attributed to Bennett, J. R..

3 recordsLinked to original sources

Reconceptualizing beta diversity: a hypervolume geometric approach

Beta diversity--the variation among community compositions in a region--is a fundamental measure of biodiversity. Despite a diverse set of measures to quantify beta diversity, most measures have posited that beta diversity is maximized when each community has a single distinct species. However, this assumption overlooks the ecological significance of species interactions and non-additivity in ecological systems, where the function and behaviour of species depend on other species in a community. Here, we introduce a geometric approach to measure beta diversity as the hypervolume of the geometric embedding of a metacommunity. This approach explicitly accounts for non-additivity and captures the idea that introducing a unique, species-rich community composition to a metacommunity increases beta diversity. We show that our hypervolume measure is closely linked to and naturally extends previous information- and variation-based measures while providing a unifying geometric framework for widely adopted extensions of beta diversity. Applying our geometric measures to empirical data, we address two long-standing questions in beta diversity research--the latitudinal pattern of beta diversity and the effect of sampling effort--and present novel ecological insights that were previously obscured by the limitations of traditional approaches. In sum, our geometric approach reconceptualizes beta diversity, offering an alternative and complementary perspective to previous measures, with immediate applicability to existing data.

ecology↗

Protected area planning to conserve biodiversity in an uncertain future

Protected areas are a key instrument for conservation. Despite this, they are vulnerable to risks associated with weak governance, land use intensification, and climate change. Using a novel hierarchical optimization approach, we identified priority areas for expanding the global protected area system to explicitly account for such risks whilst maximizing protection of all known terrestrial vertebrate species. We illustrate how reducing exposure to these risks requires expanding the area of the global protected area system by 1.6% while still meeting conservation targets. Incorporating risks from weak governance drove the greatest changes in spatial priorities for protection, while incorporating risks from climate change required the largest increase in global protected area. Conserving wide-ranging species required countries with relatively strong governance to protect more land when bordering nations with comparatively weak governance. Our results underscore the need for cross-jurisdictional coordination and demonstrate how risk can be efficiently incorporated into conservation planning. Article Impact StatementAccounting for governance, land use and climate risks will result in more resilient and effective conservation effort for biodiversity.

ecology↗

Patterns of community science data use in peer-reviewed research on biodiversity

Community science ("citizen science") represent a potentially abundant and inexpensive source of information for biodiversity research. However, analyzing such data has inherent challenges. To explore where and how community science data are translated into scientific knowledge, we conducted a literature review in a sample of 334 peer-reviewed scientific articles. Specifically, we investigated how the use of community science data varied among taxonomic groups and geographic regions, and what threats to biodiversity, if any, were examined. Community science data were used mostly for research on birds and invertebrates, and the data used were mainly from the United States and the United Kingdom. Literature in certain countries used a wider breadth of projects, while others made repeated use of comparably fewer datasets. Community science efforts were largely used to measure abundance, trends, distributions, and range shifts. However, few articles linked these metrics to any particular threats to biodiversity. Furthermore, community science data were used infrequently for research on threatened species and limited mostly to count data rather than collecting more specific information such as life history, phenological or genetic data, suggesting that community science may be underutilized for these key aspects of biodiversity conservation. We conclude that even with the rise of community science data use in research, there remains tremendous potential to better use these existing datasets for biodiversity research.

scientific communication and education↗