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      The Importance of Biologically Relevant Microclimates in Habitat Suitability Assessments

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      PLoS ONE
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          Abstract

          Predicting habitat suitability under climate change is vital to conserving biodiversity. However, current species distribution models rely on coarse scale climate data, whereas fine scale microclimate data may be necessary to assess habitat suitability and generate predictive models. Here, we evaluate disparities between temperature data at the coarse scale from weather stations versus fine-scale data measured in microhabitats required for a climate-sensitive mammal, the American pika ( Ochotona princeps). We collected two years of temperature data in occupied talus habitats predicted to be suitable (high elevation) and unsuitable (low elevation) by the bioclimatic envelope approach. At low elevations, talus surface and interstitial microclimates drastically differed from ambient temperatures measured on-site and at a nearby weather station. Interstitial talus temperatures were frequently decoupled from high ambient temperatures, resulting in instantaneous disparities of over 30°C between these two measurements. Microhabitat temperatures were also highly heterogeneous, such that temperature measurements within the same patch of talus were not more correlated than measurements at distant patches. An experimental manipulation revealed that vegetation cover may cool the talus surface by up to 10°C during the summer, which may contribute to this spatial heterogeneity. Finally, low elevation microclimates were milder and less variable than typical alpine habitat, suggesting that, counter to species distribution model predictions, these seemingly unsuitable habitats may actually be better refugia for this species under climate change. These results highlight the importance of fine-scale microhabitat data in habitat assessments and underscore the notion that some critical refugia may be counterintuitive.

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          Microclimatic challenges in global change biology.

          Despite decades of work on climate change biology, the scientific community remains uncertain about where and when most species distributions will respond to altered climates. A major barrier is the spatial mismatch between the size of organisms and the scale at which climate data are collected and modeled. Using a meta-analysis of published literature, we show that grid lengths in species distribution models are, on average, ca. 10 000-fold larger than the animals they study, and ca. 1000-fold larger than the plants they study. And the gap is even worse than these ratios indicate, as most work has focused on organisms that are significantly biased toward large size. This mismatch is problematic because organisms do not experience climate on coarse scales. Rather, they live in microclimates, which can be highly heterogeneous and strongly divergent from surrounding macroclimates. Bridging the spatial gap should be a high priority for research and will require gathering climate data at finer scales, developing better methods for downscaling environmental data to microclimates, and improving our statistical understanding of variation at finer scales. Interdisciplinary collaborations (including ecologists, engineers, climatologists, meteorologists, statisticians, and geographers) will be key to bridging the gap, and ultimately to providing scientifically grounded data and recommendations to conservation biologists and policy makers. © 2013 John Wiley & Sons Ltd.
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            Climate change and community disassembly: impacts of warming on tropical and temperate montane community structure.

            Both tropical and temperate species are responding to global warming through range shifts, but our understanding of the consequences of these shifts for whole communities is limited. Here, we use current elevational range data for six taxonomic groups spanning 90° in latitude to examine the potential impacts of climate-driven range shifts on community change, or 'disassembly', across latitude. Elevational ranges are smaller at low latitudes for most groups and, as a consequence, tropical communities appear to be more sensitive to temperature increases compared with temperate communities. Under site-specific temperature projections, we generally found greater community disassembly in tropical compared with temperate communities, although this varied by dispersal assumptions. Mountain height can impact the amount of community disassembly, with greater change occurring on smaller mountains. Finally, projected community disassembly was higher for ectotherms than endotherms, although the variation among ectotherms was greater than the variation separating endotherms and ectotherms. 2011 Blackwell Publishing Ltd/CNRS.
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              Testing alternative models of climate-mediated extirpations.

              Biotic responses to climate change will vary among taxa and across latitudes, elevational gradients, and degrees of insularity. However, due to factors such as phenotypic plasticity, ecotypic variation, and evolved tolerance to thermal stress, it remains poorly understood whether losses should be greatest in populations experiencing the greatest climatic change or living in places where the prevailing climate is closest to the edge of the species' bioclimatic envelope (e.g., at the hottest, driest sites). Research on American pikas (Ochotona princeps) in montane areas of the Great Basin during 1994-1999 suggested that 20th-century population extirpations were predicted by a combination of biogeographic, anthropogenic, and especially climatic factors. Surveys during 2005-2007 documented additional extirpations and within-site shifts of pika distributions at remaining sites. To evaluate the evidence in support of alternative hypotheses involving effects of thermal stress on pikas, we placed temperature sensors at 156 locations within pika habitats in the vicinity of 25 sites with historical records of pikas in the Basin. We related these time series of sensor data to data on ambient temperature from weather stations within the Historical Climate Network. We then used these highly correlated relationships, combined with long-term data from the same weather stations, to hindcast temperatures within pika habitats from 1945 through 2006. To explain patterns of loss, we posited three alternative classes of direct thermal stress: (1) acute cold stress (number of days below a threshold temperature); (2) acute heat stress (number of days above a threshold temperature); and (3) chronic heat stress (average summer temperature). Climate change was defined as change in our thermal metrics between two 31-yr periods: 1945-1975 and 1976-2006. We found that patterns of persistence were well predicted by metrics of climate. Our best models suggest some effects of climate change; however, recent and long-term metrics of chronic heat stress and acute cold stress, neither previously recognized as sources of stress for pikas, were some of the best predictors of pika persistence. Results illustrate that extremely rapid distributional shifts can be explained by climatic influences and have implications for conservation topics such as reintroductions and early-warning indicators.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                12 August 2014
                : 9
                : 8
                : e104648
                Affiliations
                [1]Department of Biology, University of Utah, Salt Lake City, Utah, United States of America
                Field Museum of Natural History, United States of America
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: JV MDD. Performed the experiments: JV. Analyzed the data: JV. Wrote the paper: JV MDD.

                Article
                PONE-D-14-07888
                10.1371/journal.pone.0104648
                4130583
                25115894
                baea2540-bb29-4943-aa68-0d541d40670b
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 19 February 2014
                : 16 July 2014
                Page count
                Pages: 9
                Funding
                J.V. is supported by a National Science Foundation Graduate Research Fellowship (#0750758). Field assistants were supported by a REU supplement to National Science Foundation award #1111533 (PI: T. Schmid). Additional funding for dataloggers and fieldwork was provided by: University of Utah Global Change and Sustainability Center, Society for Integrative and Comparative Biology, The Oregon Zoo Future for Wildlife Fund, The Wilderness Society Gloria Barron Scholarship and American Society of Mammalogists. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Biogeography
                Ecology
                Global Change Ecology
                Spatial and Landscape Ecology
                Terrestrial Ecology
                Zoology
                Mammalogy
                Earth Sciences
                Atmospheric Science
                Climatology
                Climate Change
                Ecology and Environmental Sciences
                Conservation Science

                Uncategorized
                Uncategorized

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