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National 1-km resolution rasters of selected Census of Agriculture statistics allocated to land use for the period 1950-2012
- 负责人：
- 关键词：
- DOI：
- doi:10.5066/f70r9mhs
- 摘要：
- o provided as 1-km rasters. The rasters are posted as ArcGIS grids. The statistics represent values for crops, livestock, irrigation, fertilizer, and ma
Monthly Rainfall and its Inter-Annual Variability (April)
- 负责人：
- South African Environmental Observation Network
- 关键词：
- mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
- DOI：
- doi:10.15493/sarva.beeh.10000061
- 摘要：
- o the rectangular raster of 1 arc minute. This interpolated raster was then multiplied by the raster of MAP values to give 1` x 1` values of that month's median
Monthly Rainfall and its Inter-Annual Variability (March)
- 负责人：
- South African Environmental Observation Network
- 关键词：
- mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
- DOI：
- doi:10.15493/sarva.beeh.10000060
- 摘要：
- o the rectangular raster of 1 arc minute. This interpolated raster was then multiplied by the raster of MAP values to give 1` x 1` values of that month's median
Monthly Rainfall and its Inter-Annual Variability (May)
- 负责人：
- South African Environmental Observation Network
- 关键词：
- mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
- DOI：
- doi:10.15493/sarva.beeh.10000062
- 摘要：
- o the rectangular raster of 1 arc minute. This interpolated raster was then multiplied by the raster of MAP values to give 1` x 1` values of that month's median
Monthly Rainfall and its Inter-Annual Variability (October)
- 负责人：
- South African Environmental Observation Network
- 关键词：
- mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
- DOI：
- doi:10.15493/sarva.beeh.10000056
- 摘要：
- o the rectangular raster of 1 arc minute. This interpolated raster was then multiplied by the raster of MAP values to give 1` x 1` values of that month's median
Monthly Rainfall and its Inter-Annual Variability (January)
- 负责人：
- South African Environmental Observation Network
- 关键词：
- mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
- DOI：
- doi:10.15493/sarva.beeh.10000055
- 摘要：
- o the rectangular raster of 1 arc minute. This interpolated raster was then multiplied by the raster of MAP values to give 1` x 1` values of that month's median
Monthly Rainfall and its Inter-Annual Variability (July)
- 负责人：
- South African Environmental Observation Network
- 关键词：
- mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
- DOI：
- doi:10.15493/sarva.beeh.10000064
- 摘要：
- o the rectangular raster of 1 arc minute. This interpolated raster was then multiplied by the raster of MAP values to give 1` x 1` values of that month's median
Monthly Rainfall and its Inter-Annual Variability (February)
- 负责人：
- South African Environmental Observation Network
- 关键词：
- mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
- DOI：
- doi:10.15493/sarva.beeh.10000059
- 摘要：
- o the rectangular raster of 1 arc minute. This interpolated raster was then multiplied by the raster of MAP values to give 1` x 1` values of that month's median
Data from: Landscape connectivity for wildlife: development and validation of multi-species linkage maps
- 负责人：
- DOI：
- doi:10.5061/dryad.vr184
- 摘要：
- region in eastern North America, and we validated the map with independently collected data. We found that amphibians and reptiles were more li
Data from: Landscape connectivity for wildlife: development and validation of multi-species linkage maps
- 负责人：
- DOI：
- doi:10.5061/dryad.vr184.1
- 摘要：
- region in eastern North America, and we validated the map with independently collected data. We found that amphibians and reptiles were more li
