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Showing papers by "Lorraine E. Flint published in 2016"


Journal ArticleDOI
28 Apr 2016-PLOS ONE
TL;DR: An empirical model is developed that integrates estimates of biophysical indicators relevant to plant communities and anthropogenic influences at each forecast time step and finds that the total area burned is likely to increase, with burned area expected to increase by 2.2 and 5.0 percent by 2050 under climatic bookends.
Abstract: The costly interactions between humans and wildfires throughout California demonstrate the need to understand the relationships between them, especially in the face of a changing climate and expanding human communities. Although a number of statistical and process-based wildfire models exist for California, there is enormous uncertainty about the location and number of future fires, with previously published estimates of increases ranging from nine to fifty-three percent by the end of the century. Our goal is to assess the role of climate and anthropogenic influences on the state's fire regimes from 1975 to 2050. We develop an empirical model that integrates estimates of biophysical indicators relevant to plant communities and anthropogenic influences at each forecast time step. Historically, we find that anthropogenic influences account for up to fifty percent of explanatory power in the model. We also find that the total area burned is likely to increase, with burned area expected to increase by 2.2 and 5.0 percent by 2050 under climatic bookends (PCM and GFDL climate models, respectively). Our two climate models show considerable agreement, but due to potential shifts in rainfall patterns, substantial uncertainty remains for the semiarid inland deserts and coastal areas of the south. Given the strength of human-related variables in some regions, however, it is clear that comprehensive projections of future fire activity should include both anthropogenic and biophysical influences. Previous findings of substantially increased numbers of fires and burned area for California may be tied to omitted variable bias from the exclusion of human influences. The omission of anthropogenic variables in our model would overstate the importance of climatic ones by at least 24%. As such, the failure to include anthropogenic effects in many models likely overstates the response of wildfire to climatic change.

93 citations


Journal ArticleDOI
TL;DR: In this paper, the authors integrate field seedling establishment trials conducted in the southern Sierra Nevada and western Tehachapi Mountains of southern California with spatially downscaled grids of modeled water-year climatic water deficit (CWDwy) and mean August maximum daily temperature (Tmax) to map historical and projected future microclimates suitable for establishment windows of opportunity for Quercus douglasii, a dominant tree species of warm, dry foothill woodlands, and Q.kelloggii, dominant of mesic montane woodlands and forests.
Abstract: Seedling establishment is a critical step that may ultimately govern tree species’ distribution shifts under environmental change. Annual variation in the location of seed rain and microclimates results in transient “windows of opportunity” for tree seedling establishment across the landscape. These establishment windows vary at fine spatiotemporal scales that are not considered in most assessments of climate change impacts on tree species range dynamics and habitat displacement. We integrate field seedling establishment trials conducted in the southern Sierra Nevada and western Tehachapi Mountains of southern California with spatially downscaled grids of modeled water-year climatic water deficit (CWDwy) and mean August maximum daily temperature (Tmax) to map historical and projected future microclimates suitable for establishment windows of opportunity for Quercus douglasii, a dominant tree species of warm, dry foothill woodlands, and Q. kelloggii, a dominant of cooler, more mesic montane woodlands and forests. Based on quasi-binomial regression models, Q. douglasii seedling establishment is significantly associated with modeled CWDwy and to a lesser degree with modeled Tmax. Q. kelloggii seedling establishment is most strongly associated with Tmax and best predicted by a two-factor model including CWDwy and Tmax. Establishment niche models are applied to explore recruitment window dynamics in the western Tehachapi Mountains, where these species are currently widespread canopy dominants. Establishment windows are projected to decrease by 50–95%, shrinking locally to higher elevations and north-facing slopes by the end of this century depending on the species and climate scenario. These decreases in establishment windows suggest the potential for longer-term regional population declines of the species. While many additional processes regulate seedling establishment and growth, this study highlights the need to account for topoclimatic controls and interannual climatic variation when assessing how seedling establishment and colonization processes could be affected by climate change.

58 citations


Journal ArticleDOI
TL;DR: Serra-Diaz et al. as discussed by the authors showed that the average 30-year climate change projections mask opportunities for species establishment, and proposed an approach to address the problem of species establishment.
Abstract: Accepted Ar tic le Averaged 30 year climate change projections mask opportunities for species establishment Josep M. Serra-Diaz 1,2 , Janet Franklin 1 , Lynn C. Sweet 3 , Ian M. McCullough 3 , Alexandra D. Syphard 4 , Helen M. Regan 5 , Lorraine E. Flint 6 , Alan L. Flint 6 , John R. Dingman 7 , Max Moritz 8 , Kelly Redmond 9 , Lee Hannah 10 , Frank W. Davis 3 School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA Harvard Forest, Harvard University, Petersham, MA, USA Bren School of Environmental Science and Management, University of California Santa Barbara, CA, USA Conservation Biology Institute, La Mesa, CA, USA Department of Biology, University of California, Riverside, CA, USA U.S. Geological Survey, California Water Science Center, Sacramento, CA, USA Air Resources Board, California Environmental Protection Agency, Sacramento, CA, USA Department of Environmental Science, Policy and Management, University of California Berkeley, CA, USA Division of atmospheric sciences, Desert Research Institute, Reno, NV, USA Conservation International, Arlington, VA, USA Corresponding author: Josep M. Serra-Diaz, School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA. E-mail: pep.science@gmail.com, jserradi@asu.edu Decision date: 30-Sep-2015 This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as doi: [10.1111/ecog.02074]. ‘This article is protected by copyright. All rights reserved.’

24 citations


Journal ArticleDOI
TL;DR: Vulnerability of Modoc National Wildlife Refuge is assessed through use of the Basin Characterization Model, and six global climate models, representing projected wetter and drier conditions, to identify landscape hydrology parameters that reflect refuge sensitivity to changes in climatic water deficit and recharge.
Abstract: Climate-change adaptation planning for managed wetlands is challenging under uncertain futures when the impact of historic climate variability on wetland response is unquantified. We assessed vulnerability of Modoc National Wildlife Refuge (MNWR) through use of the Basin Characterization Model (BCM) landscape hydrology model, and six global climate models, representing projected wetter and drier conditions. We further developed a conceptual model that provides greater value for water managers by incorporating the BCM outputs into a conceptual framework that links modeled parameters to refuge management outcomes. This framework was used to identify landscape hydrology parameters that reflect refuge sensitivity to changes in (1) climatic water deficit (CWD) and recharge, and (2) the magnitude, timing, and frequency of water inputs. BCM outputs were developed for 1981–2100 to assess changes and forecast the probability of experiencing wet and dry water year types that have historically resulted in challenging conditions for refuge habitat management. We used a Yule’s Q skill score to estimate the probability of modeled discharge that best represents historic water year types. CWD increased in all models across 72.3–100 % of the water supply basin by 2100. Earlier timing in discharge, greater cool season discharge, and lesser irrigation season water supply were predicted by most models. Under the worst-case scenario, moderately dry years increased from 10–20 to 40–60 % by 2100. MNWR could adapt by storing additional water during the cool season for later use and prioritizing irrigation of habitats during dry years.

5 citations