Adaptive invasive species distribution models: A framework for modeling incipient invasions

Biological Invasions
By: , and 

Links

Abstract

The utilization of species distribution model(s) (SDM) for approximating, explaining, and predicting changes in species’ geographic locations is increasingly promoted for proactive ecological management. Although frameworks for modeling non-invasive species distributions are relatively well developed, their counterparts for invasive species—which may not be at equilibrium within recipient environments and often exhibit rapid transformations—are lacking. Additionally, adaptive ecological management strategies address the causes and effects of biological invasions and other complex issues in social-ecological systems. We conducted a review of biological invasions, species distribution models, and adaptive practices in ecological management, and developed a framework for adaptive, niche-based, invasive species distribution model (iSDM) development and utilization. This iterative, 10-step framework promotes consistency and transparency in iSDM development, allows for changes in invasive drivers and filters, integrates mechanistic and correlative modeling techniques, balances the avoidance of type 1 and type 2 errors in predictions, encourages the linking of monitoring and management actions, and facilitates incremental improvements in models and management across space, time, and institutional boundaries. These improvements are useful for advancing coordinated invasive species modeling, management and monitoring from local scales to the regional, continental and global scales at which biological invasions occur and harm native ecosystems and economies, as well as for anticipating and responding to biological invasions under continuing global change.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Adaptive invasive species distribution models: A framework for modeling incipient invasions
Series title Biological Invasions
DOI 10.1007/s10530-015-0914-3
Volume 17
Issue 10
Year Published 2015
Language English
Publisher Springer
Contributing office(s) Coop Res Unit Seattle
Description 20 p.
First page 2831
Last page 2850
Online Only (Y/N) N
Additional Online Files (Y/N) N