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In recent decades, Rocky Mountain accumulated snowpack levels have experienced rapid declines, yet long-term records of snowpack prior to the installation of snowpack observation stations in the early and mid 20th century are limited. To date, a small number of tree-ring based reconstructions of April 1 Snow Water Equivalent (SWE) in the northern Rocky Mountains have extended modern records of snowpack variability to ~1200 C.E. Carbonate isotope lake sediment records, provide an opportunity to further extend tree-ring based reconstructions through the Holocene, providing a millennial-scale temporal record that allows for an evaluation of multi-scale drivers of snowpack variability, from internal climate dynamics...
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Observer-specific population indices for the USFWS Region Migratory Bird Management Arctic Coastal Plain study area. The survey consists of low-level aerial observations of waterfowl on a stratified strip transect design. The resulting data frame is several indices separated by observer and calculated using a standard ratio estimator. These data are output from the R package AKaerial and are also available within that package, see https://github.com/USFWS/AKaerial. The data used to produce these estimates contain known errors. Many but not all of these errors are corrected within the R package AKaerial. These data are presented for historical purposes only. See https://github.com/USFWS/ACP-Mapping and comments within...
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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.
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This is a comma delimited text file of the bird observations for the Arctic Coastal Plain survey. These observations have undergone an extensive quality control process that is ongoing and corrected several errors in the source data. Point observation of birds are given in coordinate reference system EPSG:4326 and are accurate only to +/- 500m. The field "Year" gives the calendar year that the survey was flown, "Stratum" gives the transect density strata name, "NavTransect" gives the transect identifier used for navigation by the pilot (this is not necessarily the same as the design transect), and "Obs_Type" is the social group (single, pair, etc.) of the bird observation, "Num" is the number of observation of...
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This is an SQLite GeoPackage simple feature linestring vector database of the Arctic Coastal Plain survey flow tracks in coordinate reference system EPSG:4326. There is one layer for each year 2007 to 2023. The field”Year” gives the calendar year that the transects were flown, “Stratum” gives the strata name, “NavTransect” gives the transect identifier used for navigation by the pilot (this is not necessarily the same as the design transect), and the “geom” field gives the simple feature Well Known Text geometry data of the approximate flight path recreated from bird observations. See the GitHub site https://github.com/USFWS/ACP-Mapping for more information. This product was produced from the file ACPmapping.R and...
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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 original 2007 to 2023 data to make it more accessible and usable to outside partners (original raw data available here)....
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This collection contains the quality-control (QC) transcribed data from the Arctic Coastal Plain Aerial Breeding Pair Survey. These QC data were produced from the “raw” data using the R Package “AKaerial.” The raw data were evaluated against the current data standards in the ‘AKaerial data dictionary’ and saved to new QC data files with associated log files that document any changes that were made. The data files in this collection were named using the following naming convention: ACP_YYYY_QCObs_OOOO, where ACP=Arctic Coastal Plain, YYYY=Year, QCObs=Quality control observations, and OOOO=observer’s first initial and last name. These data contain known errors. These data should not be used except as raw input for...
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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...
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This data release contains observation data, design transects, design strata, analysis estimates output, and associated metadata from the Alaska Arctic Coastal Plain Aerial Breeding Pair Survey. The Alaska Arctic Coastal Plain Aerial Breeding Pair Survey provides data on distribution, abundance, and trend of 33 bird species that nest in northern Alaska. The survey has been conducted in its current form annually since 2007 with the exception of years 2020 and 2021. Methods generally follow the standard operating procedures for the Waterfowl Breeding Population and Habitat Survey. Primary uses of the survey data are to evaluate recovery status of Spectacled Eider (Somateria fischeri) and Steller’s Eider (Polysticta...
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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 density 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 an...
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This is a zipped up folder of all data, data products, and metadata for the Arctic Coastal Plain Survey. It includes the quality controlled design and bird observation data and reconstructed flight tracks. Metadata is provided as human-readable html files.
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This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Climate Reconstruction. The data include parameters of climate reconstructions|instrumental|tree ring with a geographic location of North America. The time period coverage is from 1150 to -65 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
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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.
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This is an SQLite GeoPackage simple feature multilinestring vector database of the Arctic Coastal Plain survey transects in coordinate reference system EPSG:4326. There is one layer for each year 2007 to 2023, although in general the there is a four panel rotation that varies each year. All years are provided because implementation of the panel design varied through time. The field”Year” given the calendar year that the transects were implemented, “Stratum” gives the strata name, “Transect” gives the transect identifier, and the “geom” field gives the simple feature Well Known Text geometry data. Note that these transect are the idealized design and are not an exact record of the true flight path or survey effort....
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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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Combined population indices for the USFWS Region Migratory Bird Management Arctic Coastal Plain study area. The survey consists of low-level aerial observations of waterfowl on a stratified strip transect design. The resulting data frame is several indices combined over observers (or single observer in years where estimates were not combined) and calculated using a standard ratio estimator. These data are output from the R package AKaerial and are also available within that package, see https://github.com/USFWS/AKaerial. The data used to produce these estimates contain known errors. Many but not all of these errors are corrected within the R package AKaerial. These data are presented for historical purposes only....
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This is an SQLite GeoPackage simple feature multipolygon vector database of the Arctic Coastal Plain survey area transect density strata. There is only one layer that gives the strata boundaries in EPSG:4326. The field “Statra” gives the strata name and the “geom” field gives the simple feature Well Known Text geometry data. See the GitHub site for more information. This product was produced from the file ACPmapping.R and is simplified from the original strata files distributed at https://www.sciencebase.gov/catalog/item/65419a58d34ee4b6e05bd001.
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The code repository for the quality controll processing, data creation, modelling, and mapping or trend estimation is at https://github.com/USFWS/ACP-Mapping. The full history of the quality control process and issues is documented in R code file in this repository. Please report any addition errors to https://github.com/USFWS/ACP-Mapping/issues and follow update of this repositiry to keep track of new errors and updates to data sets, maps, or trend estimates.
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The Arctic Coastal Plain Aerial Breeding Pair Survey provides data on distribution, abundance, and trend of 33 bird species that nest in northern Alaska. The survey has been conducted in its current form annually since 2007. Methods follow the standard operating procedures for the Waterfowl Breeding Population and Habitat Survey. Primary uses of the survey data are to evaluate recovery status of Spectacled Eider (Somateria fischeri) and Steller’s Eider (Polysticta stelleri), as well as monitor species of conservation concern including Lesser Snow Goose (Chen caerulescens caerulescens), Yellow-billed Loon (Gavia adamsii), Red-throated Loon (G. stellata), and Black Brant (Branta bernicla nigricans). Survey data are...
    map background search result map search result map NOAA/WDS Paleoclimatology - Northern Rockies 2,200 Year Snow Water Equivalent Reconstructions NOAA/WDS Paleoclimatology - Upper Missouri River Basin 1,200 Year Streamflow Reconstructions Alaska Arctic Coastal Plain Breeding Waterbird Aerial Survey 2007-Present Alaska Arctic Coastal Plain Aerial Survey Combined Index Estimates 2007-2023 Alaska Arctic Coastal Plain Aerial Breeding Pair Survey QC Transcribed Data 2007-present Whitebark Pine- Mountain Pine Beetle Whitebark Pine- Interspecific Competition Whitebark Pine- White Pine Blister Rust Whitebark Pine- Fire Risk Whitebark Pine- Wildfire Severity Arctic Coastal Plain Waterfowl and Waterbird Spatial and Temporal Trends Arctic Coastal Plain Aerial Survey Design Strata Arctic Coastal Plain Aerial Survey Design Transects Arctic Coastal Plain Aerial Survey Bird Observations Arctic Coastal Plain Aerial Survey Approximate Fight Lines Arctic Coastal Plain Aerial Survey Spectacled Eider Density Estimates, 2007-2023 Arctic Coastal Plain Aerial Survey Data Collection Alaska Arctic Coastal Plain Aerial Breeding Pair Survey Packaged Data and Output Files Alaska Arctic Coastal Plain Aerial Survey Expanded Index Estimates 2007-2023 Arctic Coastal Plain Aerial Survey Github Code Repository Whitebark Pine- Wildfire Severity Whitebark Pine- Interspecific Competition Whitebark Pine- Fire Risk Whitebark Pine- White Pine Blister Rust Whitebark Pine- Mountain Pine Beetle Alaska Arctic Coastal Plain Breeding Waterbird Aerial Survey 2007-Present Alaska Arctic Coastal Plain Aerial Survey Combined Index Estimates 2007-2023 Alaska Arctic Coastal Plain Aerial Survey Expanded Index Estimates 2007-2023 Alaska Arctic Coastal Plain Aerial Breeding Pair Survey QC Transcribed Data 2007-present Arctic Coastal Plain Aerial Survey Bird Observations Arctic Coastal Plain Aerial Survey Data Collection Alaska Arctic Coastal Plain Aerial Breeding Pair Survey Packaged Data and Output Files Arctic Coastal Plain Waterfowl and Waterbird Spatial and Temporal Trends Arctic Coastal Plain Aerial Survey Design Strata Arctic Coastal Plain Aerial Survey Design Transects Arctic Coastal Plain Aerial Survey Approximate Fight Lines Arctic Coastal Plain Aerial Survey Spectacled Eider Density Estimates, 2007-2023 Arctic Coastal Plain Aerial Survey Github Code Repository NOAA/WDS Paleoclimatology - Upper Missouri River Basin 1,200 Year Streamflow Reconstructions NOAA/WDS Paleoclimatology - Northern Rockies 2,200 Year Snow Water Equivalent Reconstructions