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The data are a long-term (1980-present), daily reanalysis of reference evapotranspiration, covering the globe at a spatial resolution of 0.625° Longitude x 0.5° Latitude. Reference evapotranspiration is a measure of evaporative demand, or the "thirst of the atmosphere", basically how much moisture from the surface could evaporate into overpassing air, assuming (i) that enough water is available to evaporate and (ii) the surface is covered with a specific reference crop that completely shades the ground (some other conditions also apply). For this dataset, reference evapotranspiration is derived from the daily implementation of the Penman-Monteith reference evapotranspiration equation (Monteith, 1965) as codified...
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The purpose of this project was to develop a spatially explicit occupancy model for grizzly bears across the full extent of the CCE. The landscape occupancy model was created using ecological variables compiled for the CCE by the CMP and grizzly bear detection data provided by our partners in Alberta, British Columbia, and Montana.
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This product used species distribution modeling (SDM) to model the geographic distribution fire promoting grasses across the islands of Hawaii under both current climate conditions and under future climate change scenarios (RCP 8.5 at year 2100). The RCP 8.5 scenario assumes unmitigated and continued release of greenhouse grasses and continued human population growth. Six species of well established and widely distributed grasses (Andropogon virginicus (broomsedge), Cenchrus ciliaris (buffelgrass), Cenchrus setaceus (fountain grass), Megathyrus maximus (guinea grass, Urochloa maxima, Pancicum maximum), Melinis minutiflora (mollasses grass), and Schizachyrium microstachyum (formerly referred to as S. condensatum...
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A warmer climate has increased the spread of mountain Pine beetle. Historically, mountain pine beetle populations were limited to southern regions due to cold temperature intolerance. However, increasing winter temperatures has allowed the species to spread further north, contributing to the loss of over 1 million ha of forest in the United States and 9 million ha in Canada.Data on mountain pine beetle damage was compiled by CMP Hi5 Working Group technical team. Aerial detection surveys between 1999–2020 for Montana, Alberta, and Waterton Lakes National Park were compiled and assigned a severity score using the USDA Forest Service classification system. Severity is based on crown mortality from aerial images, with...
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The introduction of white pine blister rust, a fungus from Eastern Asia introduced to North America in the early 1900s, has inhibited the persistence of whitebark pine. Once white pine blister rust infects a tree, the fungus girdles branches and then main stem, eventually killing the tree. Since its introduction, white pine blister rust has continued to spread throughout North America with minimal environmental limitations. Within the Crown of the Continent ecosystem, up to 57% of trees have been infected or died due to white pine blister rust.At the time of this analysis, no geospatial data exists for white pine blister rust within the Crown landscape. However, because this rust is most abundant in cool and wet...


    map background search result map search result map Grizzly Bear Occupancy Model, Relative probability of occupancy in the Crown of the Continent Ecosystem Global reference evapotranspiration for food-security monitoring (ver. 2.1, April 2024) Species Distribution Modeling of Invasive, Fire Promoting Grasses, Across the Hawaiian Islands in Both 2023 and Under a Future Scenario of Unmitigated Climate Change in 2100 Whitebark Pine- Mountain Pine Beetle Whitebark Pine- White Pine Blister Rust Species Distribution Modeling of Invasive, Fire Promoting Grasses, Across the Hawaiian Islands in Both 2023 and Under a Future Scenario of Unmitigated Climate Change in 2100 Grizzly Bear Occupancy Model, Relative probability of occupancy in the Crown of the Continent Ecosystem Whitebark Pine- White Pine Blister Rust Whitebark Pine- Mountain Pine Beetle Global reference evapotranspiration for food-security monitoring (ver. 2.1, April 2024)