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"Fletcher, Robert"
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A practical guide for combining data to model species distributions
Understanding and accurately modeling species distributions lies at the heart of many problems in ecology, evolution, and conservation. Multiple sources of data are increasingly available for modeling species distributions, such as data from citizen science programs, atlases, museums, and planned surveys. Yet reliably combining data sources can be challenging because data sources can vary considerably in their design, gradients covered, and potential sampling biases. We review, synthesize, and illustrate recent developments in combining multiple sources of data for species distribution modeling. We identify five ways in which multiple sources of data are typically combined for modeling species distributions. These approaches vary in their ability to accommodate sampling design, bias, and uncertainty when quantifying environmental relationships in species distribution models. Many of the challenges for combining data are solved through the prudent use of integrated species distribution models: models that simultaneously combine different data sources on species locations to quantify environmental relationships for explaining species distribution. We illustrate these approaches using planned survey data on 24 species of birds coupled with opportunistically collected eBird data in the southeastern United States. This example illustrates some of the benefits of data integration, such as increased precision in environmental relationships, greater predictive accuracy, and accounting for sample bias. Yet it also illustrates challenges of combining data sources with vastly different sampling methodologies and amounts of data. We provide one solution to this challenge through the use of weighted joint likelihoods. Weighted joint likelihoods provide a means to emphasize data sources based on different criteria (e.g., sample size), and we find that weighting improves predictions for all species considered. We conclude by providing practical guidance on combining multiple sources of data for modeling species distributions.
Journal Article
Nature inc. : environmental conservation in the neoliberal age
\"\"Nature Inc. brings together cutting-edge research by respected scholars from around the world to analyze how 'neoliberal conservation' is reshaping human-nature relations\"-- Provided by publisher.
Book
Neoliberal Environmentality
This article proposes a Foucaultian poststructuralist framework for understanding different positions within the contemporary debate concerning appropriate biodiversity conservation policy as embodying distinctive ‘environmentalities’. In a recently-released work, Michel Foucault describes a neoliberal form of his familiar concept ‘governmentality’ quite different from conventional understandings of this oft-cited analytic. Following this, I suggest that neoliberalisation within natural resource policy can be understood as the expression of a ‘neoliberal environmentality’ similarly distinct from recent discussions employing the environmentality concept. In addition, I follow Foucault in describing several other discrete environmentalities embodied in competing approaches to conservation policy. Finally, I ask whether political ecologists’ critiques of mainstream conservation might be viewed as the expression of yet another environmentality foregrounding concerns for social equity and environmental justice and call for more conceptualisation of what this might look like.
Journal Article
From dispersal constraints to landscape connectivity: lessons from species distribution modeling
Connectivity plays a crucial role in determining the spread, viability, and persistence of populations across space. Dispersal across landscapes, or the movement of individuals or genes among resource patches, is critical for functional connectivity. Yet current connectivity modelling typically uses information on species location or habitat preference rather than movement, which unfortunately may not capture key dispersal limitations. We argue that recent developments in species distribution modelling provide insightful lessons for addressing this gap and advancing our understanding of connectivity. We suggest shifting the focus of connectivity modelling from locating where animals potentially disperse to a process-based approach directed towards understanding and mapping factors that limit successful dispersal. To do so, we propose defining species dispersal requirements through identifying spatial, environmental and intrinsic constraints to successful dispersal, analogous to identifying environmental dimensions that define niches. We discuss the benefits of this constraint-based framework for understanding the distribution of species, predicting species responses to climate change, and connectivity conservation practice. We illustrate how the framework can aid in identifying potential detrimental effects of human activities on connectivity and species persistence, and can spur the implementation of innovative conservation strategies. The proposed framework clarifies the validity and contextual utility of objectives and measures in existing connectivity models, and identifies gaps that may impede our understanding of connectivity and its integration into successful conservation strategies. We expect that this framework will facilitate a mechanistic approach to understanding and conserving connectivity, which will aid in effectively predicting and mitigating effects of ongoing environmental change.
Journal Article
Biodiversity declines across fragmented forests
A global analysis of species in fragmented-forest landscapes reveals species losses in fragments, and that the changes in species composition across fragments is not enough to benefit biodiversity over entire landscapes.
Assessing the effect of forest fragmentation on biodiversity.
Journal Article
Towards Convivial Conservation
Environmental conservation finds itself in desperate times. Saving nature, to be sure, has never been an easy proposition. But the arrival of the Anthropocene - the alleged new phase of world history in which humans dominate the earth-system seems to have upped the ante dramatically; the choices facing the conservation community have now become particularly stark. Several proposals for revolutionising conservation have been proposed, including ‘new’ conservation, ‘half Earth’ and more. These have triggered heated debates and potential for (contemplating) radical change. Here, we argue that these do not take political economic realities seriously enough and hence cannot lead us forward. Another approach to conservation is needed, one that takes seriously our economic system’s structural pressures, violent socio-ecological realities, cascading extinctions and increasingly authoritarian politics. We propose an alternative termed ‘convivial conservation’. Convivial conservation is a vision, a politics and a set of governance principles that realistically respond to the core pressures of our time. Drawing on a variety of perspectives in social theory and movements from around the globe, it proposes a post-capitalist approach to conservation that promotes radical equity, structural transformation and environmental justice and so contributes to an overarching movement to create a more equal and sustainable world.
Journal Article
The negative effects of habitat fragmentation operate at the scale of dispersal
Habitat loss is often considered the greatest near-term threat to biodiversity. Yet the impact of habitat fragmentation, or the change in habitat configuration for a given amount of habitat loss, has been intensely debated. We isolated effects of habitat loss from fragmentation on the demography, movement, and abundance of wild populations of a specialist herbivore, Chelinidea vittiger, by removing 2,088 patches across 15 landscapes. We compared fragmentation resulting from random loss, which is often considered in theory, to aggregated loss, which is often observed in the real world. When quantifying fragmentation caused by random vs. aggregated loss, aggregated loss led to less fragmented landscapes than random loss based on patch isolation, but more fragmented landscapes when based on isolation at a larger mesoscale scale defined by dispersal distances of C. vittiger. Overall, habitat loss decreased population size and demographic parameters, with thresholds occurring at approximately 70–80% patch loss. Synergistic effects also occurred, where an aggregated pattern of loss had negative effects at low, but not high, amounts of habitat loss. Effects on population size of C. vittiger were driven by reductions in movement and subsequent reproduction. The direction of habitat fragmentation effects from random and aggregated loss treatments, for a given habitat amount, was conflictingly positive or negative depending on the scale at which fragmentation was quantified. Fragmentation quantified at the scale of dispersal for this species best explained population size and highlighted that fragmentation had negative effects at a mesoscale. Our results emphasize the importance of quantifying habitat fragmentation at biologically appropriate scales.
Journal Article