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A combination of altered fire regimes and pathogens has contributed towards densification and encroachment by shade-tolerant species into areas traditionally dominated by whitebark pine. As such, the CMP Hi5 Working Group technical team suggest canopy cover as a proxy for species encroachment. Stands with tree cover greater than 60% suggest successional species are outcompeting whitebark pine.
This project aims to estimate spatial and temporal trends of waterfowl and waterbirds on the Arctic Coastal Plain (ACP) of Alaska from 2007 to present. The main approach is motivated by Amundson et al. (2019) using space-time generalized additive models (GAMs, Wood, 2017) but with some improvements to handle observer effects and to associate sampling effort to specific spatial locations along a sampled transect similar to Miller et al. (2013). As part of this effort, a major data quality control process was begun in March 2022 that led to the correction of many data errors and re-formatting of the raw 2007 to 2023 data (available at here) to make it more accessible and usable to outside partners. Because of the...
Categories: Data,
Project;
Tags: ANIMALS/VERTEBRATES,
ANIMALS/VERTEBRATES,
ANIMALS/VERTEBRATES,
ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
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.
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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: AGRICULTURAL PLANT SCIENCE,
AGRICULTURE,
Data,
EARTH SCIENCE,
Mountain Pine Beetle,
This is an SQLite GeoPackage simple feature vector database of spectacled eider relative densities predicted from a generalized additive model across the Arctic Coastal Plain. These densities are "relative" because year- or observer-specific detection is not incorporated. However, the estimation model include observer as a random effect and predictions are made after removing the effect of observer (i.e., at the average observer). Each year is a separate layer named by year. Predictions are gridded into cells 750m per side but are trimmed to the ACP survey area, so some cells are smaller. For each year, the variable 'fit' gives the expected density, 'se.fit' gives the standard error of the fit, 'Sample.Label' is...
Categories: Data;
Tags: ANIMALS/VERTEBRATES,
ANIMALS/VERTEBRATES,
ANIMALS/VERTEBRATES,
ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: AGRICULTURAL PLANT SCIENCE,
AGRICULTURE,
Blister Rust,
Data,
EARTH SCIENCE,
As a result of climate change, a warmer and drier climate has led to an increase in wildfire. Severe wildfires can cause whitebark pine mortality during all life stages, thus we used data on wildfire severity throughout the Crown landscape to predict where future severe fires will occur. Spatial data on wildfire severity was compiled by the CMP Hi5 Working Group technical team and ranked using a consistent categorical system based on each state/province’s assigned severity. Areas that had moderate-to-severe wildfires in the past 30 years were considered low risk.
Categories: Data;
Tags: Data,
EARTH SCIENCE,
EARTH SCIENCE,
ENVIRONMENTAL GOVERNANCE/MANAGEMENT,
FIRE MANAGEMENT,
As a result of climate change, a warmer and drier climate has led to an increase in wildfire severity. Severe wildfires can cause whitebark pine mortality during all life stages. Conversely, low intensity fires may enhance whitebark pine persistence by removing competing species that are less fire tolerant. However, low intensity fires have been suppressed because of an increase in recreational development and urbanization. Thus, a decline in low intensity fires has reduced whitebark pine persistence by increasing species encroachment while simultaneously, increases in wildfire severity are increasing whitebark pine mortality
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