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Exotic Plant Inventories in Mount Rainier, North Cascades, and Olympic National Parks tabular data
Exotic plant inventory in Mount Rainier, North Cascades, and Olympic National Parks 2001-2002 tabular data. We focused our survey on habitats most susceptible to exotic plant invasion within the three parks. Susceptible habitats were defined as areas that provided both good substrates for exotic plant establishment and where there was a high probability of exotic seed dispersal. Using this definition, we identified four habitats for surveys: roads, trails, riparian areas (i.e., rivers), and developed zones. The objectives for these inventories were to: 1) document exotic plant species that occur in susceptible habitats in each park, 2) describe distribution and abundance patterns of exotic plant species across vulnerable habitats, 3) identify habitats with the greatest exotic species richness, 4) identify patterns of exotic species richness with respect to elevation and distance from trailhead, and 5) identify priority exotic species for control based on biologic and management considerations. We utilized a two stage sampling design. The first stage or strata was composed of the four sensitive habitats: roads, trails, riparian areas and developed zones. All four habitat types were identified in GIS. Within our four habitats, we included all developed zones on park owned land (i.e., no privately owned lands), all roads, all park maintained trails (i.e., no social or informal trails), and riparian areas with a slope ≤ 8% (safe access for field crews). Roads, trails, and riparian areas were considered to be linear features and were divided into segments along which subsamples (i.e., plots) were distributed. All segments were ≤ 5 miles in length and we generally utilized junctions with other trails, roads, or rivers to identify segments so that the segments could easily be identified in the field. Roads and trails had a minimum segment length of 0.5 miles and riparian areas had a minimum length of 1.0 miles. Segments were numbered within each strata and then randomly selected for sampling. After a random placement of the first plot within the first 0.5 miles of the randomly selected segment, plots were systematically distributed every mile within the road, trail, and riparian segments which had been randomly selected. All plots or subsamples covered an area of 100 m2 however, the dimensions and distribution of the plots varied depending on habitat type. Road and trail plots were 1m x 100 m and were established parallel to the road or trail. The first plot was located on the right or left side of the trail based on a coin toss and successive plots alternated sides. Riparian plots were also 100 m2, but plot dimensions varied based on the terrain in order to locate the entire plot within the riparian zone. Crew members determined the plot dimensions when they arrived at the plot location. Frequently, plots were square (i.e., 10m x 10m), but when rectangular plots were used, they were oriented perpendicular to the river to capture variation in plant distribution within the riparian area. Developed zone plots were 10m x 10 m and were located relative to a random location generated in the GIS. We surveyed 697 plots across the three parks and documented 112 exotic species in 348 (~50%) of the plots. We documented 42 species in MORA, 64 at NOCA, and 81 in OLYM. At all three parks, exotic species richness was generally highest in plots located in roadsides or developed zones. Our study documented 8 species that were not on the parks’ comprehensive online species lists (NPSpecies 2016): 2 at MORA and 6 at OLYM. Although we did not document any new species at NOCA, our study provided previously unavailable abundance information for that park.
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Exotic Plant Inventories in Mount Rainier, North Cascades, and Olympic National Parks tabular data
공공데이터포털
Exotic plant inventory in Mount Rainier, North Cascades, and Olympic National Parks 2001-2002 tabular data. We focused our survey on habitats most susceptible to exotic plant invasion within the three parks. Susceptible habitats were defined as areas that provided both good substrates for exotic plant establishment and where there was a high probability of exotic seed dispersal. Using this definition, we identified four habitats for surveys: roads, trails, riparian areas (i.e., rivers), and developed zones. The objectives for these inventories were to: 1) document exotic plant species that occur in susceptible habitats in each park, 2) describe distribution and abundance patterns of exotic plant species across vulnerable habitats, 3) identify habitats with the greatest exotic species richness, 4) identify patterns of exotic species richness with respect to elevation and distance from trailhead, and 5) identify priority exotic species for control based on biologic and management considerations. We utilized a two stage sampling design. The first stage or strata was composed of the four sensitive habitats: roads, trails, riparian areas and developed zones. All four habitat types were identified in GIS. Within our four habitats, we included all developed zones on park owned land (i.e., no privately owned lands), all roads, all park maintained trails (i.e., no social or informal trails), and riparian areas with a slope ≤ 8% (safe access for field crews). Roads, trails, and riparian areas were considered to be linear features and were divided into segments along which subsamples (i.e., plots) were distributed. All segments were ≤ 5 miles in length and we generally utilized junctions with other trails, roads, or rivers to identify segments so that the segments could easily be identified in the field. Roads and trails had a minimum segment length of 0.5 miles and riparian areas had a minimum length of 1.0 miles. Segments were numbered within each strata and then randomly selected for sampling. After a random placement of the first plot within the first 0.5 miles of the randomly selected segment, plots were systematically distributed every mile within the road, trail, and riparian segments which had been randomly selected. All plots or subsamples covered an area of 100 m2 however, the dimensions and distribution of the plots varied depending on habitat type. Road and trail plots were 1m x 100 m and were established parallel to the road or trail. The first plot was located on the right or left side of the trail based on a coin toss and successive plots alternated sides. Riparian plots were also 100 m2, but plot dimensions varied based on the terrain in order to locate the entire plot within the riparian zone. Crew members determined the plot dimensions when they arrived at the plot location. Frequently, plots were square (i.e., 10m x 10m), but when rectangular plots were used, they were oriented perpendicular to the river to capture variation in plant distribution within the riparian area. Developed zone plots were 10m x 10 m and were located relative to a random location generated in the GIS. We surveyed 697 plots across the three parks and documented 112 exotic species in 348 (~50%) of the plots. We documented 42 species in MORA, 64 at NOCA, and 81 in OLYM. At all three parks, exotic species richness was generally highest in plots located in roadsides or developed zones. Our study documented 8 species that were not on the parks’ comprehensive online species lists (NPSpecies 2016): 2 at MORA and 6 at OLYM. Although we did not document any new species at NOCA, our study provided previously unavailable abundance information for that park.
Taxonomic tables for Mount Rainier, Olympic, and North Cascades National Parks
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These tables provide taxonomic information pertaining to the collection and analysis of vegetation data for the North Coast and Cascades Network vegetation mapping projects for Mount Rainier, North Cascades, and Olympic National Parks. Table 1 lists the plant taxa that were documented at plots during the projects. For each entry, we give the current accepted scientific name according to Hitchcock and Cronquist (2018), the name used during fieldwork and analysis, the corresponding common name, the botanic family, physiognomic lifeform category, and the number of records from each NCCN park. Table 2 documents the sub-generic level taxa we created to make floristic analysis possible for taxa with small numbers of species-level records or composed of both species-level field calls with large numbers of genus-level calls. See the main park reports for more information about the floristic analysis and lumping process.
Taxonomic tables for Mount Rainier, Olympic, and North Cascades National Parks
공공데이터포털
These tables provide taxonomic information pertaining to the collection and analysis of vegetation data for the North Coast and Cascades Network vegetation mapping projects for Mount Rainier, North Cascades, and Olympic National Parks. Table 1 lists the plant taxa that were documented at plots during the projects. For each entry, we give the current accepted scientific name according to Hitchcock and Cronquist (2018), the name used during fieldwork and analysis, the corresponding common name, the botanic family, physiognomic lifeform category, and the number of records from each NCCN park. Table 2 documents the sub-generic level taxa we created to make floristic analysis possible for taxa with small numbers of species-level records or composed of both species-level field calls with large numbers of genus-level calls. See the main park reports for more information about the floristic analysis and lumping process.
Vascular Plant Inventory of Mount Rainier National Park tabular data
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Vascular plant inventory of Mount Rainier National Park tabular data, 2000-2007.The objectives for the vascular plant inventory were: 1) improve the quality of the species verification by increasing the number voucher specimens and 2) to verify the presence of sensitive plants that were listed as occurring within the park. The vascular plant inventory for Mount Rainier National Park was conducted between 2000 and 2007. Initially, the park had a vascular plant species list of 959 species, 56% of which were verified by herbarium specimens, 39% were documented by scientific studies, and the remaining 5% were unverified but were on the list based on species ranges. Our objectives for the vascular plant inventory were: 1) improve the quality of the species verification by increasing the number voucher specimens and 2) to verify the presence of sensitive plants that were listed as occurring within the park. Data mining was the first step of the project and involved in-person and on-line searches of 9 collections. Data mining located 1,099 specimens which increased the voucher-based verifications by 14%. Field inventories of undersurveyed areas and likely habitats of sensitive species were conducted from 2004 to 2007 in partnership with the University of Washington. These Botany Forays resulted in a final vascular plant species list of 973 species, verified at the 97% level: 74% by vouchers, 23% by scientific studies, and only 3% are unverified.
Vascular Plant Inventory of Mount Rainier National Park tabular data
공공데이터포털
Vascular plant inventory of Mount Rainier National Park tabular data, 2000-2007.The objectives for the vascular plant inventory were: 1) improve the quality of the species verification by increasing the number voucher specimens and 2) to verify the presence of sensitive plants that were listed as occurring within the park. The vascular plant inventory for Mount Rainier National Park was conducted between 2000 and 2007. Initially, the park had a vascular plant species list of 959 species, 56% of which were verified by herbarium specimens, 39% were documented by scientific studies, and the remaining 5% were unverified but were on the list based on species ranges. Our objectives for the vascular plant inventory were: 1) improve the quality of the species verification by increasing the number voucher specimens and 2) to verify the presence of sensitive plants that were listed as occurring within the park. Data mining was the first step of the project and involved in-person and on-line searches of 9 collections. Data mining located 1,099 specimens which increased the voucher-based verifications by 14%. Field inventories of undersurveyed areas and likely habitats of sensitive species were conducted from 2004 to 2007 in partnership with the University of Washington. These Botany Forays resulted in a final vascular plant species list of 973 species, verified at the 97% level: 74% by vouchers, 23% by scientific studies, and only 3% are unverified.
Hawaii Volcanoes National Park Incipient Invasive Plant Inventory; Miconia Dataset
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The locations for coqui frogs, miconia, and australian tree ferns detected during the 2003 HAVO incipient invasives inventory.
Exotic Species Treatment Database
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The GRSM exotic plants database is a multi-faceted, SQL-based database containing location and treatment information for the exotic invasive plant control program. The exotic plant site location information includes plant species treated, geospatial information (point and polygon), site directions, and site notes. The exotic plant treatment information includes treatment method, herbicide and adjuvant brands and amounts used, area treated, field notes, and employees present. The purpose of this database is to allow easy site re-location for multi-year treatments, easy treatment data sums and sorting for end of season and project-based reporting, tracking of long-term trends in exotic invasive species management, and to make exotic plant work scheduling more efficient. GRSM manages over 50 invasive exotic plant species in over 900 locations parkwide with treatments records in this database starting in 1994. The National Park Service has published these data as a stand-alone export from an enterprise database. While the nature of table relationships and primary/foreign keys is detailed in this document, the National Park Service cannot provide assitance or instruction in the use of propietary software in analyzing and manipulating these data. Users should consult their software documention for instructions on manipulating these data. These GIS data are companion to a NRDT database, and users should consult NRDT documentation for instructions on viewing these data (Dietrich CH. 2005. Natural Resource Database Template Core Tables Standard. National Park Service (NPS). Geospatial Dataset-1035640.) (https://irma.nps.gov/App/Reference/Profile/1035640)(http://science.nature.nps.gov/im/datamgmt/applications/template/index.cfm)
Exotic Species Treatment Database
공공데이터포털
The GRSM exotic plants database is a multi-faceted, SQL-based database containing location and treatment information for the exotic invasive plant control program. The exotic plant site location information includes plant species treated, geospatial information (point and polygon), site directions, and site notes. The exotic plant treatment information includes treatment method, herbicide and adjuvant brands and amounts used, area treated, field notes, and employees present. The purpose of this database is to allow easy site re-location for multi-year treatments, easy treatment data sums and sorting for end of season and project-based reporting, tracking of long-term trends in exotic invasive species management, and to make exotic plant work scheduling more efficient. GRSM manages over 50 invasive exotic plant species in over 900 locations parkwide with treatments records in this database starting in 1994. The National Park Service has published these data as a stand-alone export from an enterprise database. While the nature of table relationships and primary/foreign keys is detailed in this document, the National Park Service cannot provide assitance or instruction in the use of propietary software in analyzing and manipulating these data. Users should consult their software documention for instructions on manipulating these data. These GIS data are companion to a NRDT database, and users should consult NRDT documentation for instructions on viewing these data (Dietrich CH. 2005. Natural Resource Database Template Core Tables Standard. National Park Service (NPS). Geospatial Dataset-1035640.) (https://irma.nps.gov/App/Reference/Profile/1035640)(http://science.nature.nps.gov/im/datamgmt/applications/template/index.cfm)