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This dataset provides bi-monthly data on seed biomass collected in shallow water habitats across the fresh to saline gradient at coastal sites in Barataria Bay, Louisiana. This project was co-funded by the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperatives and the South Central Climate Adaptation Science Center. An alternate reference to this product can be found here: https://www.sciencebase.gov/catalog/item/5a78c158e4b00f54eb1e84a6.
This file contains results from the project "Assessing climate-sensitive ecosystems in the southeastern U.S.", funded by the Department of Interior's Southeast Climate Science Center. Metrics required to use the Habitat Climate Change Vulnerability Index (HCCVI) framework, as developed by NatureServe are reported in this spreadsheet. The ecosystems are: East Gulf Coastal Plain Near-Coast Pine Flatwoods, and the Nashville Basin Limestone Glade and Woodland.
Abstract (from http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0099604): Across the globe, species distributions are changing in response to climate change and land use change. In parts of the southeastern United States, climate change is expected to result in the poleward range expansion of black mangroves ( Avicennia germinans) at the expense of some salt marsh vegetation. The morphology of A. germinans at its northern range limit is more shrub-like than in tropical climes in part due to the aboveground structural damage and vigorous multi-stem regrowth triggered by extreme winter temperatures. In this study, we developed aboveground allometric equations for freeze-affected black mangroves which...
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This projects primary goal was to provide data on biomass of potential seed resources located within shallow water coastal areas within fresh to saline coastal waters of the northern Gulf of Mexico. The data set provides biomass of seeds, by species or lowest practical taxon from 2013, 2014 and 2015 across 384 randomly selected sites located in shallow water coastal areas. The data were collected between June and September of each year. This data set can be merged with a dataset which reports submerged aquatic vegetation and environmental data collected at the same time (La Peyre et al. 2017; https://doi.org/10.5066/F7Z899WV). This project was co-funded by the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks...
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While it is widely recognized that microorganisms are intimately linked with every biogeochemical cycle in all ecosystems, it is not clear how and when microbial dynamics constrain ecosystem processes. As a result, it is know clear how to apply the value of increasingly detailed characterization of microbial properties to our understanding of ecosystem ecology. Several recent papers have demonstrated how information about microbial dynamics can be incorporated into ecosystem models (Allison et al. 2010, McGuire and Treseder 2010, Todd - Brown et al. 2011a), but it is generally not clear what types of microbial data are most useful in explaining variation in biogeochemical processes and ecosystem functioning, especially...
This file contains results from the project "Assessing climate-sensitive ecosystems in the southeastern U.S.", funded by the Department of Interior's Southeast Climate Science Center. Metrics fitting the categories of sensitivity, exposure, and adaptive capacity were calculated for twelve ecosystems in the southeastern U.S. and the Caribbean. Metrics include historic temperature and precipitation, projected future climate variables under two emissions scenarios, projected area affected by sea-level rise, proportion of each under protected status, distance from developed areas, variation in elevation, and human modification.
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This data set includes bi-monthly data on submerged aquatic vegetation species composition, percent cover, above and below ground biomass and environmental data at coastal sites across the fresh to saline gradient in Barataria Bay, LA. This project was co-funded by the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperatives and the South Central Climate Adaptation Science Center. An alternate reference to this product can be found here: https://doi.org/10.5066/F7M61HG4.
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These present data on sediment carbon within submerged aquatic vegetation beds from fresh to saline coastal locations in Barataria Bay, Louisiana. Water quality, site location, vegetation biomass and species composition are presented. This project was co-funded by the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperatives and the South Central Climate Adaptation Science Center. An alternate reference to this product can be found here: https://doi.org/10.5066/F7QZ2853.
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Future climate change may significantly alter the distributions of many plant taxa. The effects of climate change may be particularly large in mountainous regions where climate can vary significantly with elevation. Understanding potential future vegetation changes in these regions requires methods that can resolve vegetation responses to climate change at fine spatial resolutions. This research was projected using three models: cgcm31, hadley, and current. We used LPJ, a dynamic global vegetation model, to assess potential future vegetation changes for a large topographically complex area of the northwest United States and southwest Canada (38.0–58.0°N latitude by 136.6–103.0°W longitude). LPJ is a process-based...
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Dam decommissioning is rapidly emerging as an important river restoration strategy in the U.S., with several major removals recently completed or in progress. But few studies have evaluated the far-reaching consequences of these significant environmental perturbations, especially those resulting from removals of large (>10-15 m tall) structures during the last decade. In particular, interactions between physical and ecological aspects of dam removal are poorly known. From recent work, however, observations are now available from several diverse settings nationwide to allow synthesis of key physical and ecological processes associated with dam removals, including fish and benthic community response, reservoir erosion,...
The Colorado office of the Bureau of Land Management (BLM), which administers 8.4 million acres of Colorado’s surface acres, and more than 29 million acres of sub‐surface mineral estate, has been charged with developing a climate adaptation strategy for BLM lands within the state. The assessments presented herein present a statewide perspective on the potential future influences of a changing climate on species and ecosystems of particular importance to the BLM, with the goal of facilitating development of the best possible climate adaptation strategies to meet future conditions. The Colorado Natural Heritage Program conducted climate change vulnerability assessments of plant and animal species, and terrestrial...
Identifying distributions of submerged aquatic vegetation (SAV) across the northern Gulf of Mexico (NGOM) coastal landscape necessitates describing ecological processes in estuarine gradients. SAV assemblages are ecological indicators of aquatic ecosystem health; spatial and temporal distributions are strongly correlated to environmental conditions. Many wildlife species, including waterfowl, are dependent on SAV and seeds in NGOM coastal marshes for food and habitat. To understand SAV distributions at multiple spatial and temporal scales a multi-tiered project was designed to collect SAV presence, species assemblage, and cover data, and cores to describe seed food. The first tier sampled inter-annually in the growing...
Abstract (from http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143619): Key to understanding the implications of climate and land use change on biodiversity and natural resources is to incorporate the physiographic platform on which changes in ecological systems unfold. Here, we advance a detailed classification and high-resolution map of physiography, built by combining landforms and lithology (soil parent material) at multiple spatial scales. We used only relatively static abiotic variables (i.e., excluded climatic and biotic factors) to prevent confounding current ecological patterns and processes with enduring landscape features, and to make the physiographic classification more interpretable...
Abstract (from http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0102261): The future health of ecosystems is arguably as dependent on urban sprawl as it is on human-caused climatic warming. Urban sprawl strongly impacts the urban ecosystems it creates and the natural and agro-ecosystems that it displaces and fragments. Here, we project urban sprawl changes for the next 50 years for the fast-growing Southeast U.S. Previous studies have focused on modeling population density, but the urban extent is arguably as important as population density per se in terms of its ecological and conservation impacts. We develop simulations using the SLEUTH urban growth model that complement population-driven models...
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This shapefile contains polygons representing the current range of twelve ecosystems in the southeastern U.S. and the Caribbean. These were the focal ecosystems for the research project. The polygons were created by digitizing a representative area that contained each ecosystem's extent, as defined from GAP land cover or NatureServe's National Map land cover data.
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Projecting the effects of climate change on plant and animal species distributions and abundance is critical to successful long‐term conservation and restoration efforts. There have been significant recent advances made in the areas of: (1) climate forecasts; (2) habitat niche modeling; (3) mechanistic modeling; and (4) observation techniques and networks. However, projections of biological change are fundamentally limited by a lack of integration and inter‐comparison between these various forecasting approaches. The proposed working group will focus on integrating ecological forecasting methods for two well studied invasive species: cheatgrass (Bromus tectorum) and gypsy moth (Lymantria dispar). Our goal is to...
Submerged aquatic vegetation (SAV) provides many critical ecosystem services, yet we lack basic information on SAV assemblages, biomass and diversity across expansive coasts such as the northern Gulf of Mexico (nGoM). This research investigated SAV along the nGoM from 2013-2015 examining (1) inter-annual variation in SAV assemblages and biomass across salinity zones and gulf coast eco-regions (Texas Mid-Coast, Texas/LA Chenier Plain, Louisiana Delta, MS/AL), (2) intra-annual variation in SAV assemblages and biomass across salinity zones, (3) response of two species, Ruppia maritima and Myriophyllum spicatum, to salinity and light regimes, and (4) estimated organic carbon stock and storage of SAV habitat soils across...
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This projects primary goal was to provide data on occurrence and abundance of SAV resources within the fresh to saline coastal waters of the northern Gulf of Mexico, and to relate these findings to key environmental variables. The data set provides the collected data from 2013, 2014 and 2015 on site location, discrete water quality, aquatic vegetation cover and biomass by species. The same 384 sites were collected each year, between June and September. This project was co-funded by the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperatives and the South Central Climate Adaptation Science Center. An alternate reference to this product can be found here: https://doi.org/10.5066/F7M61HG4.


    map background search result map search result map Focal Ecosystems Projected future vegetation changes for the Northwest United States and Southwest Canada at a fine spatial resolution using a dynamic global vegetation model Sediment carbon, submerged aquatic vegetation and environmental variables in deltaic southeast Louisiana (2015-2016) Seed biomass from shallow coastal water areas along a salinity gradient in Barataria Bay, Louisiana (2015) Seed biomass from shallow coastal water areas from Texas through Alabama, 2013-2015 Submerged aquatic vegetation and environmental data along a salinity gradient in Barataria Bay, Louisiana (2015) Submerged aquatic vegetation and environmental data for coastal areas from Texas through Alabama, 2013-2015 Sediment carbon, submerged aquatic vegetation and environmental variables in deltaic southeast Louisiana (2015-2016) Seed biomass from shallow coastal water areas along a salinity gradient in Barataria Bay, Louisiana (2015) Seed biomass from shallow coastal water areas from Texas through Alabama, 2013-2015 Submerged aquatic vegetation and environmental data along a salinity gradient in Barataria Bay, Louisiana (2015) Submerged aquatic vegetation and environmental data for coastal areas from Texas through Alabama, 2013-2015 Projected future vegetation changes for the Northwest United States and Southwest Canada at a fine spatial resolution using a dynamic global vegetation model Focal Ecosystems