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The Missouri Resource Assessment Partnership (MoRAP) of the University of Missouri, in conjunction with the Oklahoma Biological Survey of the University of Oklahoma, produced a vegetation and landcover GIS data layer for the eastern portions of Oklahoma. This effort was accomplished with direction and funding from the Oklahoma Department of Wildlife Conservation and state and federal partners (particularly the Gulf Coast Prairie and Great Plains Landscape Conservation Cooperatives of the U. S. Fish and Wildlife Service). The legend for the layer is based on NatureServe’s Ecological System Classification, with finer thematic units derived from land cover and abiotic modifiers of the System unit. Data for development...
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This dataset provides information on the current status and various other habitat and descriptive attributes of the native coastal vegetation for seven of the main Hawaiian Islands (i.e., does not include Ni`ihau).
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The Yellowknife Study Area (YSA),Northwest Territories, Canada, was established in 1961 by H. W. Murdy, U.S. Fish and Wildlife Service, for the study of wetland and waterfowl ecology. The study area is located on the western edge of the Precambrian Shield and edge of the taiga and is recognized for its high wetland densities and waterfowl abundance. The region is underlain by discontinuous, warm permafrost and hence vulnerable to a warming climate. The completion of Highway 3 in early 1960s provided the first access to the region for development, research, and monitoring. The YSA is a 38-square km area centered on Highway 3, extending 48 km in length. In the 1960s, it encompassed 262 natural ponds and 313 man-made...
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Plant and soil data were collected in experimental plots in two sites ("Terrace" and "Hilltop") at Wind Cave National Park, South Dakota, and one site ("BSV") at Badlands National Park, South Dakota. At each site, 70, 2.5 x 2.5 m plots were assigned randomly to nitrogen-alone or nitrogen+water addition treatments (or no treatment for the control). Treatments were applied and data collected 2010-2013. The dataset includes six tables: (1) experimental treatments by plot and year; (2) plant and soil metrics analyzed in the larger work; (3) plant tissue and soil total carbon and nitrogen raw data; (4) plant biomass raw data; (5) canopy and ground cover raw data; and (6) canopy and ground cover codes.
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This publication presents data collected within meadows from samples used to assess meadow plant community responses to recreational pack stock as part of a USGS Natural Resources Preservation Project. High elevation meadows are a vital ecological component of mountain systems throughout western North America. They provide critical habitat for wildlife, supply key ecosystem services, and are favored destinations for people visiting the mountains. The biophysical characteristics of meadows are highly variable, especially related to hydrologic regimes and associated plant community types. In the semi-arid landscape of the Sierra, water availability operates at multiple scales strongly influencing meadow plant community...
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This layer depicts the status, or degree of disturbance, to plant communities on the main Hawaiian Islands. Several layers were uset to create this version (v 3.4). The original HabQual layer was developed by Jon Price and Jim Jacobi based on the mapped land cover units from the Hawaii GAP analysis program (Gon et al. 2006). This map was revised by combining data on land use and the “Bare” category from the NOAA C-CAP 2005 map (NOAA National Ocean Service Coastal Services Center 2012), and adding road corridors to the heavily disturbed category based on the Tiger Roads layer (United States Census Bureau 2014). Additionally, corrections were made to this version of the map by visually inspecting previously mapped...
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Plant cover data were collected on 16, 1-ha experimental blocks in C3 and Marsh Creek units of Seney National Wildlife Refuge, 2006-2010. Within each unit, we selected 4 pairs of blocks representing sedge-shrub habitat, with one of the pair assigned to spring burning (C3, May 2008) or summer burning (Marsh Creek, 2007 and 2008). This before-after-control-impact design provided for data collection two growing seasons before the burn (2006, 16 blocks; 2007, 15 blocks) and two-three growing seasons (2008, 2009, and 2010; 13 blocks) after burning; the unburned plot of each pair served as the control, and the burned plot of each pair the treatment. This table provides calculated measures of species richness, Shannon...
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While there have been many maps produced that depict vegetation for the state of Hawai‘i only a few of these display land cover for all of the main Hawaiian Islands, and most of those that were created before the year 2000 have very generalized units or are somewhat inaccurate as a result of more recent land use changes or due to poor resolution (both spatial and spectral) in the imagery that was used to produce the map. Some of the more detailed and accurate maps include the Hawai‘i GAP Analysis (HI-GAP) Land Cover map (Gon et al. 2006), the NOAA C-CAP Land Cover map (NOAA National Ocean Service Coastal Services Center 2012), and the more recently released Hawai‘i LANDFIRE EVT Land Cover map (U.S. Geological Survey...
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We conducted vegetation surveys concurrently with elevation surveys at every fourth elevation point (~25% of the elevation points) (Figure 5). We visually assessed percent cover of all plant species within a 0.25 m2 quadrat, and recorded the average and maximum height (measured to the nearest centimeter) of each species. Total plant cover in a plot could exceed 100% due to vegetation layering. Vascular plant nomenclature generally follows Baldwin et al. (2012) and Cook et al. (2013). We located 69 tidal wetland species in 2,154 vegetation plots across the nine estuaries in the study. Common species included Carex lyngbyei, Sarcocornia perennis, Distichlis spicata, Deschampsia cespitosa, Juncus balticus and Potentilla...
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These data were compiled to assess potential changes in the climatic suitability for 66 species (dominant and associate plant species) within major plant communities in the southwestern United States. An objective of our study was that species within plant communities have unique climate suitability signatures and forecast changes in climatic suitability will not be uniform within the species respective communities or among species within the community. We developed these spatial models of climate suitability under a modern baseline (1960-90) and future climate scenario (2041-2060) using Maxent and WorldClim temperature and precipitation variables. Plant species were chosen that are characteristic species of plant...


    map background search result map search result map Vegetation Surveys, All Field Sites, 2012-2014 Subalpine meadow plant communities in Yosemite and Sequoia and Kings Canyon National Parks, 2011-2012 Carbon Assessment of Hawaii Land Cover Map (CAH_LandCover) Carbon Assessment of Hawaii Habitat Status Map (CAH_HabStatus) Hawaiian Islands Coastal Vegetation Survey 2013-2015 Oklahoma Ecological Systems Mapping - Phase 1 dataset Wetland plants of the Yellowknife Study Area, 1961-1962 Metrics of plant community in C3 and Marsh Creek experimental blocks, Seney National Wildlife Refuge, Michigan, 2006-2010 Plant and soil data for nitrogen critical load experimental plots, Badlands and Wind Cave National Parks, South Dakota, 2010-2013 Climate Suitability Models Metrics of plant community in C3 and Marsh Creek experimental blocks, Seney National Wildlife Refuge, Michigan, 2006-2010 Wetland plants of the Yellowknife Study Area, 1961-1962 Plant and soil data for nitrogen critical load experimental plots, Badlands and Wind Cave National Parks, South Dakota, 2010-2013 Subalpine meadow plant communities in Yosemite and Sequoia and Kings Canyon National Parks, 2011-2012 Vegetation Surveys, All Field Sites, 2012-2014 Hawaiian Islands Coastal Vegetation Survey 2013-2015 Carbon Assessment of Hawaii Land Cover Map (CAH_LandCover) Carbon Assessment of Hawaii Habitat Status Map (CAH_HabStatus) Oklahoma Ecological Systems Mapping - Phase 1 dataset Climate Suitability Models