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The responses of individual species to environmental changes can be manifested at multiple levels that range from individual-level (i.e., behavioral responses) to population-level (i.e., demographic) impacts. Major environmental changes that ultimately result in population level impacts are often first detected as individual-level responses. For example, herbivores respond to limited forage availability during drought periods by increasing the duration of foraging periods and expanding home range areas to compensate for the reduction in forage. However, if the individual-level responses are not sufficient to compensate for reduced forage availability, reduced survival and reproductive rates may result. We studied...
Abstract (from http://link.springer.com/article/10.1007%2Fs11069-015-2003-4): In the Sierra Nevada mountains (USA), and geographically similar areas across the globe where human development is expanding, extreme winter storm and flood risks are expected to increase with changing climate, heightening the need for communities to assess risks and better prepare for such events. In this case study, we demonstrate a novel approach to examining extreme winter storm and flood risks. We incorporated high-resolution atmospheric–hydrologic modeling of the ARkStorm extreme winter storm scenario with multiple modes of engagement with practitioners, including a series of facilitated discussions and a tabletop emergency management...
Abstract (from Nature Climate Change): Understanding global change processes that threaten species viability is critical for assessing vulnerability and deciding on appropriate conservation actions1. Here we combine individual-based2 and metapopulation models to estimate the effects of climate change on annual breeding productivity and population viability up to 2100 of a common forest songbird, the Acadian flycatcher (Empidonax virescens), across the Central Hardwoods ecoregion, a 39.5-million-hectare area of temperate and broadleaf forests in the USA. Our approach integrates local-scale, individual breeding productivity, estimated from empirically derived demographic parameters that vary with landscape and climatic...
Abstract (from http://onlinelibrary.wiley.com/doi/10.1111/1365-2664.12847/full): Climate models predict increasing drought intensity and frequency for many regions, which may have negative consequences for tree recruitment, growth and mortality, as well as forest ecosystem services. Furthermore, practical strategies for minimizing vulnerability to drought are limited. Tree population density, a metric of tree abundance in a given area, is a primary driver of competitive intensity among trees, which influences tree growth and mortality. Manipulating tree population density may be a mechanism for moderating drought-induced stress and growth reductions, although the relationship between tree population density and...
We established a Landsat-derived geospatial database of unburned islands within 2,298 fires across the Inland Northwestern US (including eastern Washington, eastern Oregon, and Idaho) from 1984-2014. The detection of unburned areas within these fires is based upon a classification tree approach that uses two pre- and post-fire Landsat image pairs (see Meddens et al 2016 for details). The data set consist of unburned patches within each fire that are two pixels or larger. This database will be useful for identifying fire refugia, seed sources, and can be used as an overall metric of fire impacts across the northwestern US. (Meddens, A.J., Kolden, C.A., & Lutz, J.A. (2016). Detecting unburned areas within wildfire...
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The overarching goal of this research was to use site-specific data to develop local and regionally-applicable climate change models that inform management of tidal wetlands along the Pacific Northwest coast. The overarching questions were: (1) how do tidal marsh site characteristics vary across estuaries, and (2) does tidal marsh susceptibility to sea-level rise (SLR) vary along a latitudinal gradient and between estuaries? These questions are addressed in this data collection with three specific objectives: (1) measure topographical and ecological characteristics (e.g., elevation, tidal range, vegetation composition) for tidal marsh and intertidal mudflats, (2) model SLR vulnerability of these habitats, and (3)...
Categories: Data; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, Bolinas Lagoon, CA, CASC, California, All tags...
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All of these files are Microsoft Excel format files that contain Surface Elevation Table (SET) data. We installed deep rod surface elevation tables (SETs) to quantify the relative contributions of surface and subsurface processes to present-day elevation change (i.e., root growth, decomposition, compaction, water flux), shallow subsidence (accretion – elevation), and shallow subsidence between shallow (root zone) and deeper (to >10 m) portions of the soil profile. We installed four SETs at each marsh site, following methods described by Cahoon et al. 2002 and Webb et al., 2013. We established two SETs in low marsh and two in high marsh at each site after visual assessment of vegetation composition and distance from...
Abstract: Population persistence across broad spatial scales (e.g., watersheds) can depend on asynchronous dynamics among populations at finer scales (e.g., streams or habitats). We applied a von Bertalanffy growth model and closed N‐mixture abundance model in a hierarchical Bayesian framework to examine effects of fine‐scale variability in temperature and density dependence on growth and abundance as well as within‐ versus among‐stream variability in growth and abundance of Rio Grande Cutthroat Trout Oncorhynchus clarkii virginalis (RGCT) in northern New Mexico streams. An accumulation of degree‐days positively influenced instantaneous growth rates and, to a lesser extent, negatively affected asymptotic body length....
Abstract (from http://onlinelibrary.wiley.com/doi/10.1002/9781119011705.ch10/summary): This chapter discusses an approach that uses MC1 results to create climate-informed state-and-transition simulation model (cSTSMs) in two contrasting landscapes: dry forests in central Oregon and wet forests in western Washington. The studies presented here examine trends in different socioecological values under different climate and management assumptions using a dynamic global vegetation model/STSM approach. The authors found that simulated management actions did not prevent climate-induced vegetation change. Simulated management did in some cases promote desired forest structures and increase resilience to climate change....
Abstract (from http://www.sciencedirect.com/science/article/pii/S0034425716303261): Wildfires shape the distribution and structure of vegetation across the inland northwestern United States. However, fire activity is expected to increase given the current rate of climate change, with uncertain outcomes. A fire impact that has not been widely addressed is the development of unburned islands; areas within the fire perimeter that do not burn. These areas function as critical ecological refugia for biota during or following wildfires, but they have been largely ignored in methodological studies of remote sensing assessing fire severity under the assumption that they will be detected by algorithms for delineating fire...
Abstract (from Oxford Academic): Fire refugia are landscape elements that remain unburned or minimally affected by fire, thereby supporting postfire ecosystem function, biodiversity, and resilience to disturbances. Although fire refugia have been studied across continents, scales, and affected taxa, they have not been characterized systematically over space and time, which is crucial for understanding their role in facilitating resilience in the context of global change. We identify four dichotomies that delineate an overarching conceptual framework of fire refugia: unburned versus lower severity, species-specific versus landscape-process characteristics, predictable versus stochastic, and ephemeral versus persistent....
Abstract (from http://onlinelibrary.wiley.com/doi/10.1002/joc.4127/abstract): Gridded topoclimatic datasets are increasingly used to drive many ecological and hydrological models and assess climate change impacts. The use of such datasets is ubiquitous, but their inherent limitations are largely unknown or overlooked particularly in regard to spatial uncertainty and climate trends. To address these limitations, we present a statistical framework for producing a 30-arcsec (∼800-m) resolution gridded dataset of daily minimum and maximum temperature and related uncertainty from 1948 to 2012 for the conterminous United States. Like other datasets, we use weather station data and elevation-based predictors of temperature,...
Volodymyr V. Mihunov, Nina S.N. Lam, Robert V. Rohli, Lei Zou, 2019, Emerging disparities in community resilience to drought hazard in south-central United States, International Journal of Disaster Risk Reduction.
Abstract (from AMS100): Spatially continuous data products are essential for a number of applications including climate and hydrologic modeling, weather prediction, and water resource management. In this work, a distance-weighted interpolation method used to map daily rainfall and temperature in Hawaii is described and assessed. New high-resolution (250 m) maps were developed for daily rainfall and daily maximum (Tmax) and minimum (Tmin) near-surface air temperature for the period 1990–2014. Maps were produced using climatologically aided interpolation, in which station anomalies were interpolated using an optimized inverse distance weighting approach and then combined with long-term means to produce daily gridded...
We aimed to improve the scientific capacity to estimate climate extremes, evaluate their effects on natural resources, and enhance a platform for derivation of and access to customized climate information for the full extent of the Southwest. Extreme climate can have substantial effects on species, ecological and evolutionary processes, and the health of visitors to public lands. Researchers generally can specify the climate-extreme metrics, and the extents and resolutions of those metrics, most relevant to their scientific objectives and the practical applications of their work. However, such application-specific data rarely are available. We screened global climate models (GCMs) on the basis of their realism...
Abstract (from DigitalCommons@University of Nebraska - Lincoln): Native American peoples of the Northern and Central Plains have long endured harsh climate conditions, such as floods and droughts, and they possess valuable traditional knowledges that have enhanced their resilience to these extreme events. However, in recent times, limited capacity to adapt to a rapidly changing climate combined with a lack of resources have increased tribes’ vulnerability to climate extremes and their associated impacts. In response, a number of projects have been developed to assist tribes with their self-identified climate- and drought-related needs, particularly in the context of on-reservation decision-making. In this case study,...
Abstract (from ScienceDirect): Climate change effects on vegetation will likely be strong in the southwestern U.S., which is projected to experience large increases in temperature and changes in precipitation. Plant communities in the southwestern U.S. may be particularly vulnerable to climate change as the productivity of many plant species is strongly water-limited. This study examines the relationship between climate and vegetation condition using a time-series of Landsat imagery across grassland, shrubland, and woodland communities on the Colorado Plateau, USA. We improve on poorly understood inter-annual climate-vegetation relationships by exploring how the responses of different plant communities depend on...
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Field measurements, daily meteorological inputs, and previously validated iSnobal simulations were used to run and inform the biogeochemical models Biome-BGC and Biome-BGC MuSo at three aspen stands in the Reynolds Creek Experimental Watershed. iSnobal simulations of snow redistribution were used to modify measured precipitation values to account for the redistribution of snow. Biome-BGC simulations were run under historical conditions (1984-2015) assuming both a uniform and redistributed snow layer. Biome-BGC MuSo simulations were run under historical (1996-2015) and future climate scenarios (2046-2065) and account for the redistribution of snow. Biogeochemical simulation data sets include input files used to run...
map background search result map search result map Tidal Marsh Surface Elevation Table data Field measurements, biogeochemical model input files, climate data, and simulation output for aspen sites in the Reynolds Creek Experimental Watershed, ID, USA (1984-2015). Sea-level rise projections for and observational data of tidal marshes along the California coast Unburned areas within fire perimeters across the Inland Northwestern USA from 1984 to 2014 Field measurements, biogeochemical model input files, climate data, and simulation output for aspen sites in the Reynolds Creek Experimental Watershed, ID, USA (1984-2015). Sea-level rise projections for and observational data of tidal marshes along the California coast Tidal Marsh Surface Elevation Table data Unburned areas within fire perimeters across the Inland Northwestern USA from 1984 to 2014