Cross-scale assessment of potential habitat shifts in a rapidly changing climate

Invasive Plant Science and Management
By: , and 

Links

Abstract

We assessed the ability of climatic, environmental, and anthropogenic variables to predict areas of high-risk for plant invasion and consider the relative importance and contribution of these predictor variables by considering two spatial scales in a region of rapidly changing climate. We created predictive distribution models, using Maxent, for three highly invasive plant species (Canada thistle, white sweetclover, and reed canarygrass) in Alaska at both a regional scale and a local scale. Regional scale models encompassed southern coastal Alaska and were developed from topographic and climatic data at a 2 km (1.2 mi) spatial resolution. Models were applied to future climate (2030). Local scale models were spatially nested within the regional area; these models incorporated physiographic and anthropogenic variables at a 30 m (98.4 ft) resolution. Regional and local models performed well (AUC values > 0.7), with the exception of one species at each spatial scale. Regional models predict an increase in area of suitable habitat for all species by 2030 with a general shift to higher elevation areas; however, the distribution of each species was driven by different climate and topographical variables. In contrast local models indicate that distance to right-of-ways and elevation are associated with habitat suitability for all three species at this spatial level. Combining results from regional models, capturing long-term distribution, and local models, capturing near-term establishment and distribution, offers a new and effective tool for highlighting at-risk areas and provides insight on how variables acting at different scales contribute to suitability predictions. The combinations also provides easy comparison, highlighting agreement between the two scales, where long-term distribution factors predict suitability while near-term do not and vice versa.

Study Area

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Cross-scale assessment of potential habitat shifts in a rapidly changing climate
Series title Invasive Plant Science and Management
DOI 10.1614/IPSM-D-13-00071.1
Volume 7
Issue 3
Year Published 2014
Language English
Publisher Weed Science Society of America
Contributing office(s) Fort Collins Science Center
Description 12 p.
First page 491
Last page 502
Country United States
State Alaska
Other Geospatial Kenai Peninsula, Prince of Wales Island
Online Only (Y/N) N
Additional Online Files (Y/N) N