TY - JOUR
T1 - Adaptive invasive species distribution models
T2 - a framework for modeling incipient invasions
AU - Uden, Daniel R.
AU - Allen, Craig R.
AU - Angeler, David G.
AU - Corral, Lucía
AU - Fricke, Kent A.
N1 - Publisher Copyright:
© 2015, Springer International Publishing Switzerland.
PY - 2015/10/22
Y1 - 2015/10/22
N2 - 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.
AB - 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.
KW - Adaptive inference
KW - Biological invasions
KW - Management
KW - Niche
KW - Scale
KW - Uncertainty
UR - http://www.scopus.com/inward/record.url?scp=84941944681&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84941944681&partnerID=8YFLogxK
U2 - 10.1007/s10530-015-0914-3
DO - 10.1007/s10530-015-0914-3
M3 - Article
AN - SCOPUS:84941944681
SN - 1387-3547
VL - 17
SP - 2831
EP - 2850
JO - Biological Invasions
JF - Biological Invasions
IS - 10
ER -