Releases: natcap/rangeland_production
v0.2.1
v0.2.0
In this release, the animal spatial disaggregation submodel is removed. The spatial disaggregation submodel was used in previous model versions to estimate the density of grazing animals via comparison to a remotely sensed vegetation index such as NDVI. This version instead assumes that grazing animals are distributed uniformly across pixels inside grazing area features. Therefore, vegetation index rasters are no longer required input.
If the user has more detailed information on animal density, an animal density raster may be supplied as optional input.
This release also includes the following enhancements and bugfixes:
- precipitation and temperature inputs are expected to be supplied as directory path rather than "path pattern"
- option to supply crude protein concentration of forage
- update for compatibility with pygeoprocessing >= 2.0 and GDAL >= 3.0.4
- results suffix is correctly applied to outputs
- bugfix for calculation of protein intake under conditions of high forage availability
v0.1.6
v0.1.5
v0.1.4
This release includes an option to save or delete full state variables rasters from each time step of the model. A set of new default outputs were added to the model, including mean potential biomass, standing biomass, and diet sufficiency across model time steps and across pixels within grazing area features; and mean animal density per pixel across time steps.
This release also includes a number of bugfixes:
- A fix for spreading areas of NoData under certain conditions of temperature
- A fix for animal trait parameters that were incorrectly mapped to animal types
- Diet sufficiency = 0 when intake of forage by animals is 0
v0.1.3
This release includes a change to the animal spatial distribution submodel. Instead of converting a remotely sensed vegetation index such as NDVI (Earth Observation dataset, or EO) to biomass, this version uses the relative distribution of raw vegetation index values. Normalized EO is compared to normalized potential biomass as predicted by the model, and the mismatch between these quantities is interpreted as an indicator of animal density.
v0.1.2
Update to Python 3
Rangeland Production Model source and build updated to Python 3.