Precipitation Seasonality - Mean Temperature of the Driest Quarter - Isothermality
Precip_seasonality_1970-2010Mean_Temp_Dry_Qua_1970-2010Isotherma_1970-2010

FACT BOX

SOFTWARE PACKAGE   ANUCLIM Vrsn 6.1
DEVELOPERS   Tingboa Xu, Michael Hutchinson (Australian National University)
APPLICATION   ANUCLIM is a software package that enables users to obtain estimates, in point and grid form, of monthly, seasonal and annual mean climate variables from supplied climate surfaces.
APPLICATION in eMAST   Generation of bioclimatic parameters based on climate surfaces.

ANUCLIM Vrsn 6.1. is a software package developed by Tingbao Xu and Michael Hutchinson that enables users to obtain estimates, in point and grid form, of monthly, seasonal and annual mean climate variables from supplied climate data. ANUCLIM consist of four programs - MTHCLIM, BIOCLIM, BIOMAP and GROCLIM, all of which strongly depend on the supplied climate surfaces and can incorporate climate change grids.

MTHCLIM - obtain estimates of monthly, seasonal and annual mean climate variables from supplied monthly mean climate surfaces at specific points and grids.

BIOCLIM & BIOMAP - bioclimatic prediction system that uses bioclimatic parameters to gauge energy and water balances at a given location and employs a bioclimatic envelope method to predict the potential spatial distribution of species beyond known sample sites.

GROCLIM - simple generalised growth model that calculates weekly indices of light, temperature, moisture and growth for up to four different plant types from supplied climate surfaces at given locations.

ANUCLIM Vrsn 6.1. was significantly upgraded and now allows for the systematic incorporation of climate change grids to enable the investigation of the impact of projected climate change.
In eMAST, ANUCLIM 6.1 was used to generate bioclimatic parameters based on climate surfaces. The supplied climate surfaces are location and topographic dependent functions that describe the spatial distribution of monthly mean values of daily minimum temperature, daily maximum temperature, precipitation, solar radiation, pan evaporation and others.

 

For further information we recommend the following article(s):
1. Tingboa, Xu and Michael Hutchinson, New developments and applications in the ANUCLIM spatial climatic and bioclimatic modelling package, Environmental Modelling & Software 40, 267–279, 2013.

2. Booth, T, Nix, H, Busby, J et al., Bioclim: The first species distribution modelling package, its early applications and relevance to most current MaxEnt studies, Diversity and Distributions 20 (1), 1-9, 2014.