Why understanding the pioneering and continuing contributions of BIOCLIM to species distribution modelling is important

被引:107
作者
Booth, Trevor H. [1 ]
机构
[1] CSIRO Land & Water, GPO Box 1700, Canberra, ACT 2601, Australia
关键词
biological conservation; climate change; ecological niche modelling; habitat suitability modelling; species distribution model; CLIMATE-CHANGE; NICHE; PREDICTION; AUSTRALIA; VARIABLES; IMPACTS; ECOLOGY; SPLINES;
D O I
10.1111/aec.12628
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Modern species distribution modelling (SDM) began in 1984 with the launch of the BIOCLIM program in Australia. With more than 900 papers mentioning 'species distribution model' published around the world to date, SDM is one of the most active areas of global ecology. Three books published in 2009, 2011 and 2017 have reviewed SDM, and the closely related areas of ecological niche modelling and habitat suitability modelling. All three books provide excellent introductions to these topics, but give very little information on the role that BIOCLIM played in laying the foundation for these research areas. Understanding the history of BIOCLIM is vital because it was the first package to implement the basic SDM process in an easy-to-use integrated system. It provided what are still the most commonly used set of 19 bioclimatic variables and contributed to the development of the interpolation routines used to prepare the most commonly used source of bioclimatic data (WorldClim). Early BIOCLIM studies investigated important issues such as ecological niche, invasion risk, conservation planning and impacts of climate change. Although all three books acknowledge that the BIOCLIM package was important in early SDM research, they all deal with the pioneering work very briefly and omit important details which are described here. Virtually all current SDM studies owe something to the pioneering BIOCLIM work, but this is rarely acknowledged.
引用
收藏
页码:852 / 860
页数:9
相关论文
共 53 条
[21]  
Franklin J, 2009, MAPPING SPECIES DIST
[22]  
Friedman S. K., 2011, LANDSCAPE ECOLOGY, V26, P895, DOI [10.1007/s10980-011-9603-5, DOI 10.1007/S10980-011-9603-5]
[23]   Predicting species distribution: offering more than simple habitat models [J].
Guisan, A ;
Thuiller, W .
ECOLOGY LETTERS, 2005, 8 (09) :993-1009
[24]  
Guisan A., 2017, HABITAT SUITABILITY, DOI DOI 10.1017/9781139028271
[25]   The Biodiversity and Climate Change Virtual Laboratory: Where ecology meets big data [J].
Hallgren, Willow ;
Beaumont, Linda ;
Bowness, Andrew ;
Chambers, Lynda ;
Graham, Erin ;
Holewa, Hamish ;
Laffan, Shawn ;
Mackey, Brendan ;
Nix, Henry ;
Price, Jeff ;
Vanderwal, Jeremy ;
Warren, Rachel ;
Weis, Gerhard .
ENVIRONMENTAL MODELLING & SOFTWARE, 2016, 76 :182-186
[26]  
Hijmans R.J., 2011, Species distribution modeling (dismo)
[27]   Very high resolution interpolated climate surfaces for global land areas [J].
Hijmans, RJ ;
Cameron, SE ;
Parra, JL ;
Jones, PG ;
Jarvis, A .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2005, 25 (15) :1965-1978
[28]  
Holdridge L., 1947, Life Zone ecology
[30]  
Hutchinson M.F., 1983, AUST METEOROL MAG, V31, P179