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CCISS Western North America BEC Tables
These data tables describe biogeoclimatic units for Western North America. These data were assembled as inputs to the Climate Change Informed Species Selection (CCISS) framework. The CCISS framework is built on Biogeoclimatic Ecosystem Classification (BEC). CCISS uses spatial climatic analogs (BEC subzone/variants) to make inferences about future tree species suitability, known as biogeoclimatic projections. Creating species suitability projections for the future climates of British Columbia requires finding climate analogs in Alberta and the Western US. For Alberta, we adapted the Ecological Classification of Alberta (e.g., Archibald et al. 1996), with 21 natural subregions (Natural Regions Committee 2006) as the biogeoclimatic map units and 167 ecological sites as the site series units. For Washington, Idaho, Montana, Oregon, northern California, and northwestern Wyoming, we use a draft biogeoclimatic ecosystem classification for the Western US developed by Del Meidinger and Will MacKenzie. Biogeoclimatic units are detailed in the: Western North America Biogeoclimatic Units Attribute Table. The CCISS tool predicts climate change implications to tree species environmental suitability at a site series level. We have compiled sites series information for Western North America biogeoclimatic units, detailed in; Site Series Information Table and Edatopic Space Table.
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Biogeoclimatic Projections
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This spatial data product consists of projected climate conditions classified by biogeoclimatic (BGC) unit across Western North America. Projections can be accessed interactively through the spatial module of the CCISS tool, where users can view projections at both local and provincial scales. Users can download raster data (TIF files) for the entire province or for predefined subregions, for five 20-year periods of the 21st century: 2001-2020, 2021-2040, 2041-2060, 2061-2080, and 2081-2100. The data available are as follows: • Ensemble vote winner BGC subzone/variant from an ensemble of 60 global climate model projections (5 rasters – 1 per time period) • Ensemble vote winner BGC zone (5 rasters – 1 per time period) • BGC projections for 5 global climate model simulations that represent the variation in the 60-member ensemble (25 rasters – 5 simulations x 5 time periods) • BGC projections for observed climates of the 1961-1990 and 2001-2020 periods (2 rasters) • Estimated climatic novelty for all BGC projections (available for all 37 rasters) • Tree Species Environmental Suitability projections (225 rasters - 5 time periods x 3 edatopes x 15 species) • Tree Species Environmental Suitability change (225 rasters - 5 time periods x 3 edatopes x 15 species) ***For data access and downloads, see the CCISS Spatial tab of the CCISS tool and Documentation > Instructions > CCISS Spatial.***
A gridded database of the modern distributions of climate, woody plant taxa, and ecoregions for the continental United States and Canada
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On the continental scale, climate is an important determinant of the distributions of plant taxa and ecoregions. To quantify and depict the relations between specific climate variables and these distributions, we placed modern climate and plant taxa distribution data on an approximately 25-kilometer (km) equal-area grid with 27,984 points that cover Canada and the continental United States (Thompson and others, 2015). The gridded climatic data include annual and monthly temperature and precipitation, as well as bioclimatic variables (growing degree days, mean temperatures of the coldest and warmest months, and a moisture index) based on 1961-1990 30-year mean values from the University of East Anglia (UK) Climatic Research Unit (CRU) CL 2.0 dataset (New and others, 2002), and absolute minimum and maximum temperatures for 1951-1980 interpolated from climate-station data (WeatherDisc Associates, 1989). As described below, these data were used to produce portions of the "Atlas of relations between climatic parameters and distributions of important trees and shrubs in North America" (hereafter referred to as "the Atlas"; Thompson and others, 1999a, 1999b, 2000, 2006, 2007, 2012a, 2015). Evolution of the Atlas Over the 16 Years Between Volumes A & B and G: The Atlas evolved through time as technology improved and our knowledge expanded. The climate data employed in the first five Atlas volumes were replaced by more standard and better documented data in the last two volumes (Volumes F and G; Thompson and others, 2012a, 2015). Similarly, the plant distribution data used in Volumes A through D (Thompson and others, 1999a, 1999b, 2000, 2006) were improved for the latter volumes. However, the digitized ecoregion boundaries used in Volume E (Thompson and others, 2007) remain unchanged. Also, as we and others used the data in Atlas Volumes A through E, we came to realize that the plant distribution and climate data for areas south of the US-Mexico border were not of sufficient quality or resolution for our needs and these data are not included in this data release. The data in this data release are provided in comma-separated values (.csv) files. We also provide netCDF (.nc) files containing the climate and bioclimatic data, grouped taxa and species presence-absence data, and ecoregion assignment data for each grid point (but not the country, state, province, and county assignment data for each grid point, which are available in the .csv files). The netCDF files contain updated Albers conical equal-area projection details and more precise grid-point locations. When the original approximately 25-km equal-area grid was created (ca. 1990), it was designed to be registered with existing data sets, and only 3 decimal places were recorded for the grid-point latitude and longitude values (these original 3-decimal place latitude and longitude values are in the .csv files). In addition, the Albers conical equal-area projection used for the grid was modified to match projection irregularities of the U.S. Forest Service atlases (e.g., Little, 1971, 1976, 1977) from which plant taxa distribution data were digitized. For the netCDF files, we have updated the Albers conical equal-area projection parameters and recalculated the grid-point latitudes and longitudes to 6 decimal places. The additional precision in the location data produces maximum differences between the 6-decimal place and the original 3-decimal place values of up to 0.00266 degrees longitude (approximately 143.8 m along the projection x-axis of the grid) and up to 0.00123 degrees latitude (approximately 84.2 m along the projection y-axis of the grid). The maximum straight-line distance between a three-decimal-point and six-decimal-point grid-point location is 144.2 m. Note that we have not regridded the elevation, climate, grouped taxa and species presence-absence data, or ecoregion data to the locations defined by the new 6-decimal place latitude and longitude data. For example, the
A gridded database of the modern distributions of climate, woody plant taxa, and ecoregions for the continental United States and Canada
공공데이터포털
On the continental scale, climate is an important determinant of the distributions of plant taxa and ecoregions. To quantify and depict the relations between specific climate variables and these distributions, we placed modern climate and plant taxa distribution data on an approximately 25-kilometer (km) equal-area grid with 27,984 points that cover Canada and the continental United States (Thompson and others, 2015). The gridded climatic data include annual and monthly temperature and precipitation, as well as bioclimatic variables (growing degree days, mean temperatures of the coldest and warmest months, and a moisture index) based on 1961-1990 30-year mean values from the University of East Anglia (UK) Climatic Research Unit (CRU) CL 2.0 dataset (New and others, 2002), and absolute minimum and maximum temperatures for 1951-1980 interpolated from climate-station data (WeatherDisc Associates, 1989). As described below, these data were used to produce portions of the "Atlas of relations between climatic parameters and distributions of important trees and shrubs in North America" (hereafter referred to as "the Atlas"; Thompson and others, 1999a, 1999b, 2000, 2006, 2007, 2012a, 2015). Evolution of the Atlas Over the 16 Years Between Volumes A & B and G: The Atlas evolved through time as technology improved and our knowledge expanded. The climate data employed in the first five Atlas volumes were replaced by more standard and better documented data in the last two volumes (Volumes F and G; Thompson and others, 2012a, 2015). Similarly, the plant distribution data used in Volumes A through D (Thompson and others, 1999a, 1999b, 2000, 2006) were improved for the latter volumes. However, the digitized ecoregion boundaries used in Volume E (Thompson and others, 2007) remain unchanged. Also, as we and others used the data in Atlas Volumes A through E, we came to realize that the plant distribution and climate data for areas south of the US-Mexico border were not of sufficient quality or resolution for our needs and these data are not included in this data release. The data in this data release are provided in comma-separated values (.csv) files. We also provide netCDF (.nc) files containing the climate and bioclimatic data, grouped taxa and species presence-absence data, and ecoregion assignment data for each grid point (but not the country, state, province, and county assignment data for each grid point, which are available in the .csv files). The netCDF files contain updated Albers conical equal-area projection details and more precise grid-point locations. When the original approximately 25-km equal-area grid was created (ca. 1990), it was designed to be registered with existing data sets, and only 3 decimal places were recorded for the grid-point latitude and longitude values (these original 3-decimal place latitude and longitude values are in the .csv files). In addition, the Albers conical equal-area projection used for the grid was modified to match projection irregularities of the U.S. Forest Service atlases (e.g., Little, 1971, 1976, 1977) from which plant taxa distribution data were digitized. For the netCDF files, we have updated the Albers conical equal-area projection parameters and recalculated the grid-point latitudes and longitudes to 6 decimal places. The additional precision in the location data produces maximum differences between the 6-decimal place and the original 3-decimal place values of up to 0.00266 degrees longitude (approximately 143.8 m along the projection x-axis of the grid) and up to 0.00123 degrees latitude (approximately 84.2 m along the projection y-axis of the grid). The maximum straight-line distance between a three-decimal-point and six-decimal-point grid-point location is 144.2 m. Note that we have not regridded the elevation, climate, grouped taxa and species presence-absence data, or ecoregion data to the locations defined by the new 6-decimal place latitude and longitude data. For example, the
CCISS Environmental Suitability Ratings
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This dataset contains the environmental suitability ratings of tree species for British Columbia and adjacent jurisdictions (Northwestern United States and Alberta) at a site series level. These ordinal ratings (E1-5) reflect the probability for successful establishment and growth of a species across the entire environmental space of a site series in the baseline (pre-climate change) climate normal period of 1961-90. The environmental suitability ratings focus on how well the species is suited to the climatic and site (i.e. edaphic) conditions of a site series regardless of management objective. Tree species environmental suitability ratings refer to the degree to which a tree species can be successfully established and maintained to maturity under specific climatic & edaphic conditions in the absence of independent limiting factors such as biotic (e.g. forest health) or abiotic (e.g. fire) disturbances. The baseline environmental suitability does not include regions where a species is absent in natural stands due to non-climatic or site level factors such as unfavourable disturbance regimes or migration lags. Please see Data Dictionary for important information on data use.
BEC Map - Attribute Catalogue
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A list of the various 'regional' (zone/subzone/variant/phase) ecological units of the current biogeoclimatic ecosystem classification. At this 'regional' level, vegetation, soils and topography are used to infer the climate and to identify geographic areas that have relatively uniform climate. These geographic areas are termed biogeoclimatic units. The basic biogeoclimatic unit is the Subzone. These units are grouped into Zones and may be further subdivided into variants based on further refinements of climate (e.g., wetter, drier, snowier). The map units of the Biogeoclimatic map are mapped to the highest possible thematic resolution - subzone or variant. In some cases, where further sampling is required to define the unit climatically, polygons are labelled as an undifferentiated unit (e.g. CWH un)
BEC Map
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The current and most detailed version of the approved corporate provincial digital Biogeoclimatic Ecosystem Classification (BEC) Zone/Subzone/Variant/Phase map (version 12, September 2, 2021). Use this version when performing GIS analysis regardless of scale. This mapping is deliberately extended across the ocean, lakes, glaciers, etc to facilitate intersection with a terrestrial landcover layer of your choice
인포보스 - 유용성 식물 기후대 정보
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● 데이터 키워드 - 유용성 식물, 기후대 ● 데이터 상품 요약 - 유용성 산림 식물 자원의 기후대 ● 데이터 상품 정보 - 본 상품은 산림 식물 자원의 분포 정보를 바탕으로 해당 지역의 로컬 기후정보를 바탕으로 USDA Climate Zone 기후대를 산정하여 제공합니다. - 식물의 분포 지역 및 기후 정보가 복잡하나, 원예, 조경등에서 주로 사용되는 USDA Climate Zone 정보로부터 식물자원의 활용 용도 (조경수로의 활용등)에 대한 전략을 구성하실 수 있습니다. ● 컬럼 정보 - csv ● 활용 예제 - 본 데이터 상품을 활용하여 사용자는 다음과 같은 정보를 확인할 수 있습니다. 1) 산림 식물자원의 활용 용도 (조경수로의 활용등)에 대한 전략 구축 2) 산림 식물자원의 분포, 기후대등에 대한 다양한 연구 자료 활용 가능 ● 생산년월(수집년월) - 2021년 3월 ~ 2021년 10월 [원본 데이터](https://www.bigdata-forest.kr/product/GNM400004)는 로그인 후 구매하여 다운로드 하십시오.
Tabular data of carbon dynamics for conterminous U.S. forests from 2001-2020
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This data series provides annual maps of carbon stocks for conterminous U.S. forests. Annual raster maps are provided at 1-km resolution for the period 2001-2020. Carbon stock estimates were derived by linking the Land Use and Carbon Scenario Simulator (LUCAS) model and the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3) as described in the accompanying publication. The model was run on an annual timestep for the period 2001-2020. Four scenario simulations were conducted including 1) the combined effects of land use and land cover change (LULC) and climate, 2) only LULC effects, 3) only climate effects, and 4) no effects from either LULC or climate.
Tabular data of carbon dynamics for conterminous U.S. forests from 2001-2020
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This data series provides annual maps of carbon stocks for conterminous U.S. forests. Annual raster maps are provided at 1-km resolution for the period 2001-2020. Carbon stock estimates were derived by linking the Land Use and Carbon Scenario Simulator (LUCAS) model and the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3) as described in the accompanying publication. The model was run on an annual timestep for the period 2001-2020. Four scenario simulations were conducted including 1) the combined effects of land use and land cover change (LULC) and climate, 2) only LULC effects, 3) only climate effects, and 4) no effects from either LULC or climate.