Literature DB >> 27003689

Integrating subsistence practice and species distribution modeling: assessing invasive elodea's potential impact on Native Alaskan subsistence of Chinook salmon and whitefish.

Matthew W Luizza1, Paul H Evangelista2, Catherine S Jarnevich3, Amanda West2, Heather Stewart4.   

Abstract

Alaska has one of the most rapidly changing climates on earth and is experiencing an accelerated rate of human disturbance, including resource extraction and transportation infrastructure development. Combined, these factors increase the state's vulnerability to biological invasion, which can have acute negative impacts on ecological integrity and subsistence practices. Of growing concern is the spread of Alaska's first documented freshwater aquatic invasive plant Elodea spp. (elodea). In this study, we modeled the suitable habitat of elodea using global and state-specific species occurrence records and environmental variables, in concert with an ensemble of model algorithms. Furthermore, we sought to incorporate local subsistence concerns by using Native Alaskan knowledge and available statewide subsistence harvest data to assess the potential threat posed by elodea to Chinook salmon (Oncorhynchus tshawytscha) and whitefish (Coregonus nelsonii) subsistence. State models were applied to future climate (2040-2059) using five general circulation models best suited for Alaska. Model evaluations indicated that our results had moderate to strong predictability, with area under the receiver-operating characteristic curve values above 0.80 and classification accuracies ranging from 66 to 89 %. State models provided a more robust assessment of elodea habitat suitability. These ensembles revealed different levels of management concern statewide, based on the interaction of fish subsistence patterns, known spawning and rearing sites, and elodea habitat suitability, thus highlighting regions with additional need for targeted monitoring. Our results suggest that this approach can hold great utility for invasion risk assessments and better facilitate the inclusion of local stakeholder concerns in conservation planning and management.

Entities:  

Keywords:  Alaska; Aquatic invasion; Elodea spp.; Ensemble modeling; SNAP climate data; Subsistence

Mesh:

Year:  2016        PMID: 27003689     DOI: 10.1007/s00267-016-0692-4

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  17 in total

1.  Climate change threats to plant diversity in Europe.

Authors:  Wilfried Thuiller; Sandra Lavorel; Miguel B Araújo; Martin T Sykes; I Colin Prentice
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-26       Impact factor: 11.205

Review 2.  Ensemble forecasting of species distributions.

Authors:  Miguel B Araújo; Mark New
Journal:  Trends Ecol Evol       Date:  2006-09-29       Impact factor: 17.712

3.  Evidence of climatic niche shift during biological invasion.

Authors:  O Broennimann; U A Treier; H Müller-Schärer; W Thuiller; A T Peterson; A Guisan
Journal:  Ecol Lett       Date:  2007-08       Impact factor: 9.492

Review 4.  Generalized linear mixed models: a practical guide for ecology and evolution.

Authors:  Benjamin M Bolker; Mollie E Brooks; Connie J Clark; Shane W Geange; John R Poulsen; M Henry H Stevens; Jada-Simone S White
Journal:  Trends Ecol Evol       Date:  2009-03       Impact factor: 17.712

5.  Evolution of co-management: role of knowledge generation, bridging organizations and social learning.

Authors:  Fikret Berkes
Journal:  J Environ Manage       Date:  2008-12-24       Impact factor: 6.789

6.  Choosing and using climate-change scenarios for ecological-impact assessments and conservation decisions.

Authors:  Amy K Snover; Nathan J Mantua; Jeremy S Littell; Michael A Alexander; Michelle M McClure; Janet Nye
Journal:  Conserv Biol       Date:  2013-12       Impact factor: 6.560

7.  A working guide to boosted regression trees.

Authors:  J Elith; J R Leathwick; T Hastie
Journal:  J Anim Ecol       Date:  2008-04-08       Impact factor: 5.091

8.  Biosecurity policy and the use of geospatial predictive tools to address invasive plants: updating the risk analysis toolbox.

Authors:  Cory J Lindgren
Journal:  Risk Anal       Date:  2011-06-15       Impact factor: 4.000

9.  Predicting the spread of aquatic invaders: insight from 200 years of invasion by zebra mussels.

Authors:  Alexander Y Karatayev; Lyubov E Burlakova; Sergey E Mastitsky; Dianna K Padilla
Journal:  Ecol Appl       Date:  2015-03       Impact factor: 4.657

10.  Comparative analyses of plastid sequences between native and introduced populations of aquatic weeds Elodea canadensis and E. nuttallii.

Authors:  Tea Huotari; Helena Korpelainen
Journal:  PLoS One       Date:  2013-04-19       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.