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Project dataset for assessing trends and vulnerabilities in the mutualism between whitebark pine (Pinus albicaulis) and Clark’s nutcracker (Nucifraga columbiana) in the Cascades region
These datasets represent inputs into spatial and temporal models associated with a published study assessing trends and vulnerabilities in the mutalism between whitebark pine (Pinus albicaulis) and Clark’s nutcracker (Nucifraga columbiana, CLNU) in national parks of the North Cascades and Sierra Nevada regions. The study used avian point count data and summary information on whitebark pine abundance and distribution. This reference provides the two datasets contributed to the temporal modeling analysis within the North Cascades region, specifically Mount Rainier National Park (MORA), as Clark’s nutcracker trends were not discernable at North Cascades National Park (NOCA). For data associated with national parks within the Sierra Nevada region, including Yosemite National Park (YOSE) and Sequoia and Kings Canyon National Parks (SEKI), please refer to: https://irma.nps.gov/DataStore/Reference/Profile/2278594. 1) Whitebark pine data from 29 0.04-hectare circular plots representing eight stands in Mount Rainier National Park, with survey data from 2004, 2007 (9 plots), 2009 and 2015. Basic plot data used to model relationships with Clark’s Nutcracker abundance estimates and trends are summarized by plot and year, including the number of live trees, average live tree diameter, live tree infection rates, and basic site characteristics (elevation, slope and aspect). For modeling and analytical purposes, the data set also includes filled records for plot-year combinations with no survey data, represented in the data as ‘NA’. Data were summarized by plot and year because Clark’s nuctracker density was modeled at the park scale according to park-scale tree metrics, accounting for both plot and stand effects on those tree metrics. 2) Avian survey data represent the count of Clark's nutcracker individuals at observed at point-count monitoring stations, 2005-2016. Avian survey covariates include: ambient noise level, observer, date, hour, presence of forest cover, presence of dense vegetation cover, elevation, aspect, and slope. For modeling and analytical purposes, the data set also includes non-detect records and filled records for transect-year combinations with no survey data, represented in the data as ‘NA’. Data were derived from the highest of three elevation strata, because Clark’s nutcracker were almost never observed in lower strata.
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Project dataset for assessing trends and vulnerabilities in the mutualism between whitebark pine (Pinus albicaulis) and Clark’s nutcracker (Nucifraga columbiana) in the Cascades region
공공데이터포털
These datasets represent inputs into spatial and temporal models associated with a published study assessing trends and vulnerabilities in the mutalism between whitebark pine (Pinus albicaulis) and Clark’s nutcracker (Nucifraga columbiana, CLNU) in national parks of the North Cascades and Sierra Nevada regions. The study used avian point count data and summary information on whitebark pine abundance and distribution. This reference provides the two datasets contributed to the temporal modeling analysis within the North Cascades region, specifically Mount Rainier National Park (MORA), as Clark’s nutcracker trends were not discernable at North Cascades National Park (NOCA). For data associated with national parks within the Sierra Nevada region, including Yosemite National Park (YOSE) and Sequoia and Kings Canyon National Parks (SEKI), please refer to: https://irma.nps.gov/DataStore/Reference/Profile/2278594. 1) Whitebark pine data from 29 0.04-hectare circular plots representing eight stands in Mount Rainier National Park, with survey data from 2004, 2007 (9 plots), 2009 and 2015. Basic plot data used to model relationships with Clark’s Nutcracker abundance estimates and trends are summarized by plot and year, including the number of live trees, average live tree diameter, live tree infection rates, and basic site characteristics (elevation, slope and aspect). For modeling and analytical purposes, the data set also includes filled records for plot-year combinations with no survey data, represented in the data as ‘NA’. Data were summarized by plot and year because Clark’s nuctracker density was modeled at the park scale according to park-scale tree metrics, accounting for both plot and stand effects on those tree metrics. 2) Avian survey data represent the count of Clark's nutcracker individuals at observed at point-count monitoring stations, 2005-2016. Avian survey covariates include: ambient noise level, observer, date, hour, presence of forest cover, presence of dense vegetation cover, elevation, aspect, and slope. For modeling and analytical purposes, the data set also includes non-detect records and filled records for transect-year combinations with no survey data, represented in the data as ‘NA’. Data were derived from the highest of three elevation strata, because Clark’s nutcracker were almost never observed in lower strata.
Project dataset for assessing trends and vulnerabilities in the mutualism between whitebark pine (Pinus albicaulis) and Clark’s nutcracker (Nucifraga columbiana) in the Sierra region
공공데이터포털
This dataset represents inputs into a spatial model associated with a publication that assesses trends and vulnerabilities in the mutalism between whitebark pine (Pinus albicaulis) and Clark’s nutcracker (Nucifraga columbiana, CLNU) in national parks of the Sierra-Cascade region. The study uses avian point-count data, whitebark pine distribution, and foxtail pine distribution data provided in collaboration through The Institute for Bird Populations and the U.S. National Park Service. These data are associated with national parks within the Sierra region, including Yosemite National Park (YOSE) and Sequoia and Kings Canyon National Parks (SEKI). For data associated with national parks within the Cascade region, including Mount Rainier National Park and North Cascades National Park Service Complex, please refer to: https://irma.nps.gov/DataStore/Reference/Profile/2277917 The avian survey data represent the count of Clark's nutcracker individuals at observed at point-count monitoring stations, 2011-2016. Avian survey covariates include: ambient noise level, observer, date, hour, presence of forest cover, presence of dense vegetation cover, elevation, aspect, and slope. Whitebark pine coverage (YOSE and SEKI) and foxtail pine coverage (SEKI) are calculated using park vegetation mapping inventories. Vegetation data are provided here as links. YOSE: https://irma.nps.gov/DataStore/Reference/Profile/2252295 SEKI: https://irma.nps.gov/DataStore/Reference/Profile/2252079 For more information, please refer to: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0227161
Project dataset for assessing trends and vulnerabilities in the mutualism between whitebark pine (Pinus albicaulis) and Clark’s nutcracker (Nucifraga columbiana) in the Sierra region
공공데이터포털
This dataset represents inputs into a spatial model associated with a publication that assesses trends and vulnerabilities in the mutalism between whitebark pine (Pinus albicaulis) and Clark’s nutcracker (Nucifraga columbiana, CLNU) in national parks of the Sierra-Cascade region. The study uses avian point-count data, whitebark pine distribution, and foxtail pine distribution data provided in collaboration through The Institute for Bird Populations and the U.S. National Park Service. These data are associated with national parks within the Sierra region, including Yosemite National Park (YOSE) and Sequoia and Kings Canyon National Parks (SEKI). For data associated with national parks within the Cascade region, including Mount Rainier National Park and North Cascades National Park Service Complex, please refer to: https://irma.nps.gov/DataStore/Reference/Profile/2277917 The avian survey data represent the count of Clark's nutcracker individuals at observed at point-count monitoring stations, 2011-2016. Avian survey covariates include: ambient noise level, observer, date, hour, presence of forest cover, presence of dense vegetation cover, elevation, aspect, and slope. Whitebark pine coverage (YOSE and SEKI) and foxtail pine coverage (SEKI) are calculated using park vegetation mapping inventories. Vegetation data are provided here as links. YOSE: https://irma.nps.gov/DataStore/Reference/Profile/2252295 SEKI: https://irma.nps.gov/DataStore/Reference/Profile/2252079 For more information, please refer to: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0227161
Project dataset for assessing trends and vulnerabilities in the mutualism between whitebark pine (Pinus albicaulis) and Clark’s nutcracker (Nucifraga columbiana) in the Sierra region
공공데이터포털
This dataset represents inputs into a spatial model associated with a publication that assesses trends and vulnerabilities in the mutalism between whitebark pine (Pinus albicaulis) and Clark’s nutcracker (Nucifraga columbiana, CLNU) in national parks of the Sierra-Cascade region. The study uses avian point-count data, whitebark pine distribution, and foxtail pine distribution data provided in collaboration through The Institute for Bird Populations and the U.S. National Park Service. These data are associated with national parks within the Sierra region, including Yosemite National Park (YOSE) and Sequoia and Kings Canyon National Parks (SEKI). For data associated with national parks within the Cascade region, including Mount Rainier National Park and North Cascades National Park Service Complex, please refer to: https://irma.nps.gov/DataStore/Reference/Profile/2277917 The avian survey data represent the count of Clark's nutcracker individuals at observed at point-count monitoring stations, 2011-2016. Avian survey covariates include: ambient noise level, observer, date, hour, presence of forest cover, presence of dense vegetation cover, elevation, aspect, and slope. Whitebark pine coverage (YOSE and SEKI) and foxtail pine coverage (SEKI) are calculated using park vegetation mapping inventories. Vegetation data are provided here as links. YOSE: https://irma.nps.gov/DataStore/Reference/Profile/2252295 SEKI: https://irma.nps.gov/DataStore/Reference/Profile/2252079 For more information, please refer to: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0227161
Summary Data from Greater Yellowstone Ecosystem Interagency Whitebark Pine Long Term Monitoring Program
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This summary data set in Microsoft Excel format is from the master relational database for whitebark pine pine tree monitoring starting in 2004 at permanent, long term monitoring plots on federally administered lands throughout the Greater Yellowstone Ecosystem.
Nuttall's Woodpecker Range - CWHR B302 [ds1549]
공공데이터포털
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
White-Headed Woodpecker Range - CWHR B305 [ds1552]
공공데이터포털
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
NCCN Forest Vegetation Monitoring Data Package, 2005-2018
공공데이터포털
This data package contains North Coast and Cascades Network (NCCN) Inventory and Monitoring Program forest vegetation tabular data collected during 2005-2018 in Mount Rainier National Park (MORA), North Cascades National Park (NOCA), Olympic National Park (OLYM), and Lewis and Clark National Historical Park (LEWI). The protocol, publications, and all other associated links can be found in the project reference at: https://irma.nps.gov/DataStore/Reference/Profile/2182054. The diverse environmental conditions of the Pacific Northwest support various forest types, from coastal rainforests to subalpine fir forests, often containing mature forests that have not experienced recent stand-replacing disturbances. The North Coast and Cascades Network (NCCN) encompasses eight National Park Service units in the Pacific Northwest, with five parks featuring significant forest areas: Lewis and Clark National Historical Park (LEWI), Mount Rainier National Park (MORA), North Cascades National Park Service Complex (NOCA), Olympic National Park (OLYM), and San Juan Island National Historical Park (SAJH). Mature forests are integral to the character of these parks, and represent essential carbon stores and carbon sequestration potential. As such, forest vegetation has been identified as a key park ecosystem component in the development of NCCN's monitoring protocols. The primary objectives of the NCCN's forest monitoring program include tracking trends in tree recruitment, growth, mortality, and overall forest structure and composition, all as measures of forest health and integrity. Monitoring occurred in permanent one-hectare plots designed to align with the Forest Inventory and Analysis (FIA) program methodologies, incorporating a hierarchy of subplots for efficient data collection. These plots were designed to represent various forest types across the three large parks, focusing on warm-wet, cold-dry, and mid-elevation environments. Additionally, forests in the smaller parks were monitored with broader definitions of forest types. Specific parameters that were monitored include tree dimensions and health indicators, snag density and size, and environmental factors such as soil properties and landscape position. Complete measurements occurred every five years, while previously tagged trees were monitored annually for mortality to be able to detect short-term changes in tree condition. This comprehensive monitoring approach provides insights into the ecological dynamics of forest ecosystems, aiming to minimize the effects of succession while recognizing the significance of changing disturbance patterns (which have been monitored using remotely sensed imagery following a separate protocol, see https://irma.nps.gov/DataStore/Reference/Profile/2097545). This program aimed to detect subtle ecological changes, offering critical data for effective management of Pacific Northwest ecosystems amid ongoing environmental challenges.
Nuttall's Woodpecker Range - CWHR B302 [ds1549]
공공데이터포털
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.