- Loading...
- No images or files uploaded yet.
|
|
||||||||||||||||||||
BIOCLIM
BIOCLIM β Bioclimatic prediction
BIOCLIM is a bioclimatic prediction system which uses surrogate terms (bioclimatic parameters) derived from mean monthly climate estimates, to approximate energy and water balances at a given location.1
Description BIOCLIM can produce up to 35 bioclimatic parameters based on the climate variables maximum temperature, minimum temperature, rainfall, solar radiation and pan evaporation. If some of these climate variables are unavailable, fewer bioclimatic parameters are produced.2
Using BIOCLIM as a predictive system.3
BIOCLIM can either summarise the bioclimatic parameters for a list of sites to produce a species profile, or generate output consisting of the calculated parameters for each point in the input file. These points can be supplied either as a list of coordinates or as a regular grid.4
BIOCLIM has a number of advantages over most other models in cases where there is presence-only data (i.e. no absence data), and where the number of known records is extremely low. This makes it a particularly useful modelling system for use with threatened species. 5
The main drawbacks of BIOCLIM include:6
Function
Why use this tool? The parameters derived by BIOCLIM (eg Mean Temperature of Warmest Period, Precipitation of Driest Quarter) are useful in determining the climatic envelope for plant and animal species. 7
Who will use this tool?
How will the tool be used? When running BIOCLIM with the species data as input, the input file needs to contain the independent variables used in the creation of the surface coefficient files. For BIOCLIM, this is usually just the latitude (or northing), longitude (or easting) and elevation. This information is usually supplied in the form of a plain-text file.
Your input file of site data should contain lines only for known presences of the species. BIOCLIM is not designed to use known absences of a species, nor is it designed to use abundance information that you might have for your sites.8
Where in the data chain could this tool be used?
When could this tool be used?
Availability
Comments
12 Elith et al (2006) Novel methods improve prediction of speciesβ distributions from occurrence data Ecography 29: 129-151. available at: http://www.blackwell-synergy.com/toc/eco/29/2 |
||||||||||||||||||
Comments (0)
You don't have permission to comment on this page.