All Species
Grasses
Small Grain Cereals
Legumes
Forbs
Scope (choice of Alaska, Hawaii, Oregon, or conterminous United States)
Suitability Maps
Nine maps were created for winter barley, one for each of 3 climate factors and one for each of the soil factors, one combined climate factors map, one combine soil factors map, and a map for all of the factors combined. This allows for each factor to be examined and addressed to improve suitability through management. Small images of maps are provided below, with larger maps linked by clicking.
All Factors Combined
Nine maps have been developed. For the climate factors: 1) Minimum temperature (Tmin), 2) Maximum temperature (Tmax), 3) annual precipitation from 30 year average, 4) a combined climate factors map. For the soil factors: 5) soil pH, 6) soil drainage, 7) soil salinity, 8) a combined climate factors, 9) all climate and soil factors combined.
Suitability patterns for forage species are caused by different factors in different locations. Low winter temperatures limit the northern range of many species, while low precipitation limits the western range of species in the semi-arid west. Low summer temperatures limit the range of species with increasing elevation while high summer temperatures limit the range in the desert southwest and hot and humid southeast. Soil characteristics (pH, drainage, and salinity) also limit the suitability zones of forage species. However, soil amendments (liming and drainage tiles) can alleviate many of these limitations. Thus, NRCS Soil Survey data should be informed and revised by management mitigations.
Nine maps have been developed; 1) 30-year long-term July maximum temperature 2), 3) 30-year long-term annual precipitation, 4) soil pH, 5) soil drainage, 6) soil salinity, 7) combined climate factors, 8) combined soil factors, and 9) combined climate and soil factors.
Suitability patterns for forage species are caused by different factors in different locations. Low winter temperatures limit the northern range of many species, while low precipitation limits the western range of species in the semi-arid west. Low summer temperatures limit the range of species with increasing elevation while high summer temperatures limit the range in the desert southwest and hot and humid southeast. Soil characteristics (pH, drainage, and salinity) also limit the suitability zones of forage species. However, soil amendments (liming and drainage tiles) can alleviate many of these limitations. Thus, NRCS Soil Survey data should be informed and revised by management mitigations.
Nine maps have been developed; 1) 30-year long-term July maximum temperature 2), 3) 30-year long-term annual precipitation, 4) soil pH, 5) soil drainage, 6) soil salinity, 7) combined climate factors, 8) combined soil factors, and 9) combined climate and soil factors.
Suitability patterns for forage species are caused by different factors in different locations. Low winter temperatures limit the northern range of many species, while low precipitation limits the western range of species in the semi-arid west. Low summer temperatures limit the range of species with increasing elevation while high summer temperatures limit the range in the desert southwest and hot and humid southeast. Soil characteristics (pH, drainage, and salinity) also limit the suitability zones of forage species. However, soil amendments (liming and drainage tiles) can alleviate many of these limitations. Thus, NRCS Soil Survey data should be informed and revised by management mitigations.
Nine maps have been developed; 1) 30-year long-term July maximum temperature 2), 3) 30-year long-term annual precipitation, 4) soil pH, 5) soil drainage, 6) soil salinity, 7) combined climate factors, 8) combined soil factors, and 9) combined climate and soil factors.
Suitability patterns for forage species are caused by different factors in different locations. Low winter temperatures limit the northern range of many species, while low precipitation limits the western range of species in the semi-arid west. Low summer temperatures limit the range of species with increasing elevation while high summer temperatures limit the range in the desert southwest and hot and humid southeast. Soil characteristics (pH, drainage, and salinity) also limit the suitability zones of forage species. However, soil amendments (liming and drainage tiles) can alleviate many of these limitations. Thus, NRCS Soil Survey data should be informed and revised by management mitigations.
Nine maps have been developed; 1) 30-year long-term July maximum temperature 2), 3) 30-year long-term annual precipitation, 4) soil pH, 5) soil drainage, 6) soil salinity, 7) combined climate factors, 8) combined soil factors, and 9) combined climate and soil factors.
Suitability patterns for forage species are caused by different factors in different locations. Low winter temperatures limit the northern range of many species, while low precipitation limits the western range of species in the semi-arid west. Low summer temperatures limit the range of species with increasing elevation while high summer temperatures limit the range in the desert southwest and hot and humid southeast. Soil characteristics (pH, drainage, and salinity) also limit the suitability zones of forage species. However, soil amendments (liming and drainage tiles) can alleviate many of these limitations. Thus, NRCS Soil Survey data should be informed and revised by management mitigations.
Nine maps have been developed; 1) 30-year long-term July maximum temperature 2), 3) 30-year long-term annual precipitation, 4) soil pH, 5) soil drainage, 6) soil salinity, 7) combined climate factors, 8) combined soil factors, and 9) combined climate and soil factors.
Historically, maps have been drawn based on primary use areas, showing broad geographic areas, e.g. Compendium of Common Forages maps within Forages: An Introduction to Grassland Agriculture, 7th ed. (2018), John Wiley & Sons, Inc.
(Alsike clover generalized adaptation and common use map.)
More highly detailed maps, based on quantitative climatic and soil factor tolerances and using GIS spatial grids, provide information on where species are suitable for a variety of intended uses.
The following collection of maps were developed by a group of Oregon State University scientists, using the PRISM-generated collection of climate factor grids and the NRCS soil characteristics database. The procedure used to produce these suitability maps is described below.
Suitability curves were developed for each clover species for three climate variables (average annual precipitation, average July maximum temperature, and average annual extreme low temperature) and three soil variables (drainage class, pH, and salinity). For each variable and each species, the curves were fit using estimated yield data across the full range of values for the given variable.
The coefficients for the model equations were applied to spatial data layers representing each climate and soil variable, resulting in spatial outputs of percent yield for each of the clover species and each climate and soil variable. The percent yield layers were then classified into four suitability classes, as follows:
100%-75% - Suitable
75%-50% - Moderately suitable
50%-25% - Marginally suitable
25-0% - Not suitable
Finally, three "hybrid" suitability layers were produced for each clover species based on combinations of 1) the three climate variables, 2) the three soil variables, and 3) all six climate and soil variables together. These combined suitability layers were created by selecting for each location the lowest suitability value of the included variables, with the idea that the overall suitability for a species will be limited by the most restrictive factor.
Data sources
----------------
Climate data: 800m PRISM 30-year normals for years 1981-2010 (PRISM Climate Group, Oregon State University, http://prism.oregonstate.edu, accessed 2018-01-17)
Soils data: NRCS STATSGO (Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. U.S. General Soil Map (STATSGO2). Available online at https://sdmdataaccess.sc.egov.usda.gov. Accessed 2018-01-10)
Minimum Temperature
|
pH
|
Climate and Soil
|
Maximum Temperature
|
Drainage
|
All Soil
|
Precipitation
|
Salinity
|
All Climate
|
Click on the thumbnail image to view a larger map.
Climate Factors | Soil Factors | Combined Factors |
Minimum temperature |
pH |
Climate and Soil |
Maximum temperature |
Drainage |
All Climate |
Precipitation |
Salinity |
All Soil |
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature |
pH |
Climate and Soil |
Maximum Temperature |
Drainage |
All Climate |
Precipitation |
Salinity |
All Soil |
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature |
pH |
Climate and Soil |
Maximum Temperature |
Drainage |
All Climate |
Precipitation |
Salinity |
All Soil |
Historically, maps have been drawn based on primary use areas, showing broad geographic areas, e.g. Compendium of Common Forages maps within Forages: An Introduction to Grassland Agriculture, 7th ed. (2018), John Wiley & Sons, Inc.
More highly detailed maps, based on quantitative climatic and soil factor tolerances and using GIS spatial grids, provide information on where species are suitable for a variety of intended uses.
The following collection of maps were developed by a group of Oregon State University scientists, using the PRISM-generated collection of climate factor grids and the NRCS soil characteristics database. The procedure used to produce these suitability maps is described below.
Suitability curves were developed for each clover species for three climate variables (average annual precipitation, average July maximum temperature, and average annual extreme low temperature) and three soil variables (drainage class, pH, and salinity). For each variable and each species, the curves were fit using estimated yield data across the full range of values for the given variable.
The coefficients for the model equations were applied to spatial data layers representing each climate and soil variable, resulting in spatial outputs of percent yield for each of the clover species and each climate and soil variable. The percent yield layers were then classified into four suitability classes, as follows:
100%-75% - Suitable
75%-50% - Moderately suitable
50%-25% - Marginally suitable
25-0% - Not suitable
Finally, three "hybrid" suitability layers were produced for each clover species based on combinations of 1) the three climate variables, 2) the three soil variables, and 3) all six climate and soil variables together. These combined suitability layers were created by selecting for each location the lowest suitability value of the included variables, with the idea that the overall suitability for a species will be limited by the most restrictive factor.
Data sources
----------------
Climate data: 800m PRISM 30-year normals for years 1981-2010 (PRISM Climate Group, Oregon State University, http://prism.oregonstate.edu, accessed 2018-01-17)
Soils data: NRCS STATSGO (Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. U.S. General Soil Map (STATSGO2). Available online at https://sdmdataaccess.sc.egov.usda.gov. Accessed 2018-01-10.
Climate Factors |
Soil Factors |
Combined Factors |
Minimum Temperature
|
pH
|
All climate and soil factors (most limiting)
|
Maximum Temperature
|
Drainage
|
All soil factors (most limiting)
|
Precipitation
|
Salinity
|
All climate factors (Most limiting)
|
Click on the thumbnail image to view a larger map.
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature
|
pH
|
Climate and Soil
|
Maximum Temperature
|
Drainage
|
All Climate
|
Precipitation
|
Salinity
|
All Soil
|
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature
|
pH
|
Climate and Soil
|
Maximum Temperature
|
Drainage
|
All Climate
|
Precipitation
|
Salinity
|
All Soil
|
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature
|
pH
|
Climate and Soil
|
Maximum Temperature
|
Drainage
|
All Climate
|
Precipitation
|
Salinity
|
All Soil
|
Historically, maps have been drawn based on primary use areas, showing broad geographic areas, e.g. Compendium of Common Forages maps within Forages: An Introduction to Grassland Agriculture, 7th ed. (2018), John Wiley & Sons, Inc.
More highly detailed maps, based on quantitative climatic and soil factor tolerances and using GIS spatial grids, provide information on where species are suitable for a variety of intended uses.
The following collection of maps were developed by a group of Oregon State University scientists, using the PRISM-generated collection of climate factor grids and the NRCS soil characteristics database.
Suitability curves were developed for each clover species for three climate variables (average annual precipitation, average July maximum temperature, and average annual extreme low temperature) and three soil variables (drainage class, pH, and salinity). For each variable and each species, the curves were fit using estimated yield data across the full range of values for the given variable.
The coefficients for the model equations were applied to spatial data layers representing each climate and soil variable, resulting in spatial outputs of percent yield for each of the clover species and each climate and soil variable. The percent yield layers were then classified into four suitability classes, as follows:
100%-75% - Suitable
75%-50% - Moderately suitable
50%-25% - Marginally suitable
25-0% - Not suitable
Finally, three "hybrid" suitability layers were produced for each clover species based on combinations of 1) the three climate variables, 2) the three soil variables, and 3) all six climate and soil variables together. These combined suitability layers were created by selecting for each location the lowest suitability value of the included variables, with the idea that the overall suitability for a species will be limited by the most restrictive factor.
Climate Factors |
Soil Factors |
Combined Factors |
Minimum Temperature |
pH
|
All climate and soil factors (most limiting)
|
Maximum Temperature
|
Drainage
|
All soil factors (most limiting)
|
Precipitation
|
Salinity
|
All climate factors (Most limiting)
|
Berseem clover primary use areas as a summer or winter annual.
Source: Clark, Andy (ed.). 2007. Berseem Clover. In: Managing Cover Crops Profitably, 3rd ed. Sustainable Agriculture Network, Beltsville, MD.
Historically, maps have been drawn based on primary use areas, showing broad geographic areas, e.g. Compendium of Common Forages maps within Forages: An Introduction to Grassland Agriculture, 7th ed. (2018), John Wiley & Sons, Inc.
(Crimson clover adaptation and use map.)
(Crimson clover SARE cover crop map. Source: Managing Cover Crops Profitably, 3rd Ed., Sustainable Agriculture Research & Education.)
More highly detailed maps, based on quantitative climatic and soil factor tolerances and using GIS spatial grids, provide information on where species are suitable for a variety of intended uses.
The following collection of maps were developed by a group of Oregon State University scientists, using the PRISM-generated collection of climate factor grids and the NRCS soil characteristics database.
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature |
pH |
Climate and Soil |
Maximum Temperature |
Drainage |
All Soil |
Precipitation |
Salinity |
All Climate |
Climate Factor |
Soil Factors | Combined Factors |
Minimum Temperature |
pH |
Climate and Soil |
Maximum Temperature |
Drainage |
All Soil |
Precipitation |
Salinity |
All Climate |
Climate Factor |
Soil Factors | Combined Factors |
Minimum Temperature |
pH |
Climate and Soil |
Maximum Temperature |
Drainage |
All Soil |
Precipitation |
Salinity |
All Climate |
Climate Factor |
Soil Factors | Combined Factors |
Minimum Temperature |
pH |
Climate and Soil |
Maximum Temperature |
Drainage |
All Soil |
Precipitation |
Salinity |
All Climate |
Historically, maps have been drawn based on primary use areas, showing broad geographic areas, e.g. Compendium of Common Forages maps within Forages: An Introduction to Grassland Agriculture, 7th ed. (2018), John Wiley & Sons, Inc.
(Kura clover adaptation and use map.)
More highly detailed maps, based on quantitative climatic and soil factor tolerances and using GIS spatial grids, provide information on where species are suitable for a variety of intended uses.
The following collection of maps were developed by a group of Oregon State University scientists, using the PRISM-generated collection of climate factor grids and the NRCS soil characteristics database.
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature |
pH |
Climate and Soil |
Maximum Temperature |
Drainage |
All Soil |
Precipitation |
Salinity |
All Climate |
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature |
pH |
Climate and Soil |
Maximum Temperature |
Drainage |
All Soil |
Precipitation |
Salinity |
All Climate |
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature |
pH |
Climate and Soil |
Maximum Temperature |
Drainage |
All Soil |
Precipitation |
Salinity |
All Climate |
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature |
pH |
Climate and Soil |
Maximum Temperature |
Drainage |
All Soil |
Precipitation |
Salinity |
All Climate |
The following collection of maps were developed by a group of Oregon State University scientists, using the PRISM-generated collection of climate factor grids and the NRCS soil characteristics database. The procedure used to produce these suitability maps is described below.
Suitability curves were developed for each clover species for three climate variables (average annual precipitation, average July maximum temperature, and average annual extreme low temperature) and three soil variables (drainage class, pH, and salinity). For each variable and each species, the curves were fit using estimated yield data across the full range of values for the given variable.
The coefficients for the model equations were applied to spatial data layers representing each climate and soil variable, resulting in spatial outputs of percent yield for each of the clover species and each climate and soil variable. The percent yield layers were then classified into four suitability classes, as follows:
100%-75% - Suitable
75%-50% - Moderately suitable
50%-25% - Marginally suitable
25-0% - Not suitable
Finally, three "hybrid" suitability layers were produced for each clover species based on combinations of 1) the three climate variables, 2) the three soil variables, and 3) all six climate and soil variables together. These combined suitability layers were created by selecting for each location the lowest suitability value of the included variables, with the idea that the overall suitability for a species will be limited by the most restrictive factor.
Climate Factors |
Soil Factors |
Combined Factors |
Minimum Temperature
|
pH
|
All climate and soil factors (most limiting)
|
Maximum Temperature
|
Drainage
|
All soil factors (most limiting)
|
Precipitation
|
Salinity
|
All climate factors (Most limiting)
|
Historically, maps have been drawn based on primary use areas, showing broad geographic areas, e.g. Compendium of Common Forages maps within Forages: An Introduction to Grassland Agriculture, 7th ed. (2018), John Wiley & Sons, Inc.
(Red clover adaptation and use map.)
More highly detailed maps, based on quantitative climatic and soil factor tolerances and using GIS spatial grids, provide information on where species are suitable for a variety of intended uses.
The following collection of maps were developed by a group of Oregon State University scientists, using the PRISM-generated collection of climate factor grids and the NRCS soil characteristics database.
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature |
pH |
Climate and Soil |
Maximum Temperature |
Drainage |
All Soil |
Precipitation |
Salinity |
All Climate |
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature |
pH |
Climate and Soil |
Maximum Temperature |
Drainage |
All Soil |
Precipitation |
Salinity |
All Climate |
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature |
pH |
Climate and Soil |
Maximum Temperature |
Drainage |
All Soil |
Precipitation |
Salinity |
All Climate |
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature |
pH |
Climate and Soil |
Maximum Temperature |
Drainage |
All Soil |
Precipitation |
Salinity |
All Climate |
The following collection of maps were developed by a group of Oregon State University scientists, using the PRISM-generated collection of climate factor grids and the NRCS soil characteristics database. The procedure used to produce these suitability maps is described below.
Suitability curves were developed for each clover species for three climate variables (average annual precipitation, average July maximum temperature, and average annual extreme low temperature) and three soil variables (drainage class, pH, and salinity). For each variable and each species, the curves were fit using estimated yield data across the full range of values for the given variable.
The coefficients for the model equations were applied to spatial data layers representing each climate and soil variable, resulting in spatial outputs of percent yield for each of the clover species and each climate and soil variable. The percent yield layers were then classified into four suitability classes, as follows:
100%-75% - Suitable
75%-50% - Moderately suitable
50%-25% - Marginally suitable
25-0% - Not suitable
Finally, three "hybrid" suitability layers were produced for each clover species based on combinations of 1) the three climate variables, 2) the three soil variables, and 3) all six climate and soil variables together. These combined suitability layers were created by selecting for each location the lowest suitability value of the included variables, with the idea that the overall suitability for a species will be limited by the most restrictive factor.
Climate Factors |
Soil Factors |
Combined Factors |
Minimum Temperature
|
pH
|
All climate and soil factors (most limiting)
|
Maximum Temperature
|
Drainage
|
All soil factors (most limiting)
|
Precipitation
|
Salinity
|
All climate factors (Most limiting) |
Historically, maps have been drawn based on primary use areas, showing broad geographic areas, e.g. Compendium of Common Forages maps within Forages: An Introduction to Grassland Agriculture, 7th ed. (2018), John Wiley & Sons, Inc.
More highly detailed maps, based on quantitative climatic and soil factor tolerances and using GIS spatial grids, provide information on where species are suitable for a variety of intended uses.
The following collection of maps were developed by a group of Oregon State University scientists, using the PRISM-generated collection of climate factor grids and the NRCS soil characteristics database.
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature |
pH |
Climate and Soil |
Maximum Temperature |
Drainage |
All Soil |
Precipitation |
Salinity |
All Climate |
Climate Factor |
Soil Factors | Combined Factors |
Minimum Temperature
|
pH
|
Climate and Soil
|
Maximum Temperature
|
Drainage
|
All Soil
|
Precipitation
|
Salinity
|
All Climate
|
Climate Factor |
Soil Factors | Combined Factors |
Minimum Temperature
|
pH
|
Climate and Soil
|
Maximum Temperature
|
Drainage
|
All Soil
|
Precipitation
|
Salinity
|
All Climate
|
Climate Factor |
Soil Factors | Combined Factors |
Minimum Temperature
|
pH
|
Climate and Soil
|
Maximum Temperature
|
Drainage
|
All Soil
|
Precipitation
|
Salinity
|
All Climate
|
Historically, maps have been drawn based on primary use areas, showing broad geographic areas, e.g. Compendium of Common Forages maps within Forages: An Introduction to Grassland Agriculture, 7th ed. (2018), John Wiley & Sons, Inc.
(Subterranean Clover Adaptation & Use Map.)
(SARE Managing Cover Crops Map. Source: Managing Cover Crops Profitably, 3rd Ed., Sustainable Agriculture Research & Education.)
More highly detailed maps, based on quantitative climatic and soil factor tolerances and using GIS spatial grids, provide information on where species are suitable for a variety of intended uses.
The following collection of maps were developed by a group of Oregon State University scientists, using the PRISM-generated collection of climate factor grids and the NRCS soil characteristics database.
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature Wet |
pH Wet |
Climate and Soil Wet |
Minimum Temperature Dry |
pH Dry |
Climate and Soil Dry |
Maximum Temperature Wet |
Drainage Wet |
All Soil |
Precipitation Wet |
Salinity Wet |
All Climate Wet |
Precipitation Dry |
Salinity Dry |
All Climate Dry |
Map designations of wet and dry refer to different precipitation requirements for current use areas (40-60 inch rainfall zones, designated wet) and potential use areas (16-26 inch rainfall zones, designated dry).
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature Wet
|
pH Wet
|
Climate and Soil Wet
|
Minimum Temperature Dry
|
pH Dry
|
Climate and Soil Dry
|
Maximum Temperature Wet
|
Drainage Wet
|
All Soil Wet
|
Precipitation Wet
|
Salinity Wet
|
All Climate Wet
|
Precipitation Dry
|
Salinity Dry
|
All Climate Dry
|
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature Wet |
pH Wet |
Climate and Soil Wet |
Minimum Temperature Dry
|
pH Dry |
Climate and Soil Dry |
Maximum Temperature Wet |
Drainage Wet |
All Soil Wet
|
Precipitation Wet
|
Salinity Wet |
All Climate Wet |
Precipitation Dry
|
Salinity Dry |
All Climate Dry
|
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature Wet |
pH Wet |
Climate and Soil Wet
|
Minimum Temperature Dry |
pH Dry |
Climate and Soil Dry |
Maximum Temperature Wet |
Drainage Wet |
All Soil Wet |
Precipitation Wet |
Salinity Wet |
All Climate Wet |
Precipitation Dry |
Salinity Dry |
All Climate Dry |
Historically, maps have been drawn based on primary use areas, showing broad geographic areas, e.g. Compendium of Common Forages maps within Forages: An Introduction to Grassland Agriculture, 7th ed. (2018), John Wiley & Sons, Inc.
(White clover adaptation an use map.)
More highly detailed maps, based on quantitative climatic and soil factor tolerances and using GIS spatial grids, provide information on where species are suitable for a variety of intended uses.
The following collection of maps were developed by a group of Oregon State University scientists, using the PRISM-generated collection of climate factor grids and the NRCS soil characteristics database.
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature |
pH |
Climate and Soil |
Maximum Temperature |
Drainage |
All Soil |
Precipitation |
Salinity |
All Climate |
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature |
pH |
Climate and Soil |
Maximum Temperature |
Drainage |
All Soil |
Precipitation |
Salinity |
All Climate |
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature |
pH |
Climate and Soil |
Maximum Temperature |
Drainage |
All Soil
|
Precipitation |
Salinity |
All Climate |
Climate Factors | Soil Factors | Combined Factors |
Minimum Temperature |
pH |
Climate and Soil |
Maximum Temperature |
Drainage |
All Soil |
Precipitation |
Salinity |
All Climate |