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The ice age ecologist: testing methods for reserve prioritization during the last global warming.

Authors :
Williams, John W.
Kharouba, Heather M.
Veloz, Sam
Vellend, Mark
McLachlan, Jason
Liu, Zhengyu
Otto‐Bliesner, Bette
He, Feng
Source :
Global Ecology & Biogeography; Mar2013, Vol. 22 Issue 3, p289-301, 13p
Publication Year :
2013

Abstract

ABSTRACT Aim We play the role of an ice age ecologist (IAE) charged with conserving biodiversity during the climate changes accompanying the last deglaciation. We develop reserve-selection strategies for the IAE and check them against rankings based on modern data. Location Northern and eastern North America. Methods Three reserve-selection strategies are developed. (1) Abiotic: the IAE uses no information about species-climate relationships, instead maximizing the climatic and geographic dispersion of reserves. (2) Species distribution models (SDMs): the IAE uses boosted-regression trees calibrated against pollen data and CCSM3 palaeoclimatic simulations from 21 to 15 ka bp to predict modern taxon distributions, then uses these as input to the Z onation reserve-ranking program. (3) Rank-and-regress: regression models are used to identify climatic predictors of zonation rankings. All strategies are assessed against a Z onation ranking based on modern pollen distributions. Analysis units are ecoregions and grid cells. Results The abiotic strategy has a negative or no correlation between predicted and actual rankings. The SDM-based strategy fares better, with a significantly positive area-corrected correlation ( r= 0.474, P < 0.001) between predicted and actual rankings. Predictive ability drops when grid cells are the analysis unit ( r= 0.217, P = 0.058). Predictive ability for the rank-and-regress strategy is similar to the SDM results. Main conclusions For the IAE, SDMs improve the predictive ability of reserve-selection strategies. However, predictive ability is limited overall, probably due to shifted realized niches during past no-analogue climates, new species interactions as species responded individually to climate change, and other environmental changes not included in the model. Twenty-first-century conservation planning also faces these challenges, and is further complicated by other anthropogenic impacts. The IAE's limited success does not preclude the use of climate scenarios and niche-based SDMs when developing adaptation strategies, but suggests that such tools offer at best only a rough guide to identifying possible areas of future conservation value. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1466822X
Volume :
22
Issue :
3
Database :
Complementary Index
Journal :
Global Ecology & Biogeography
Publication Type :
Academic Journal
Accession number :
85595351
Full Text :
https://doi.org/10.1111/j.1466-8238.2012.00760.x