Modeling habitat suitability across different levels of invasive plant abundance DOI
Evelyn M. Beaury, Catherine S. Jarnevich, Ian S. Pearse

et al.

Biological Invasions, Journal Year: 2023, Volume and Issue: 25(11), P. 3471 - 3483

Published: June 30, 2023

Language: Английский

Facilitating effective collaboration to prevent aquatic invasive species spread DOI Creative Commons
Amy C. Kinsley, Alex W. Bajcz,

Robert G. Haight

et al.

Biological Conservation, Journal Year: 2024, Volume and Issue: 290, P. 110449 - 110449

Published: Jan. 19, 2024

Aquatic invasive species (AIS) threaten ecosystem health, serving as a major challenge for conservation efforts worldwide. Invasive easily move across jurisdictional boundaries that may each have diverse management approaches, leading to mosaics in which manager's actions impact those of neighboring jurisdictions. Here, we investigate the potential collaborations between counties Minnesota managing four aquatic (Eurasian watermilfoil, spiny waterflea, starry stonewort, and zebra mussels), with focus on evaluating efficiency county-led prevention programs. We aimed identify collaboration networks, representing group relatively high number potentially infested boats moving them describe connections within groups using social network analysis. found networks formed by ranking reciprocal amongst yielded gains over non-collaborative or county-focused approach but were still less efficient than state-wide approach. This study presents an analytical framework identifying based AIS dispersal pathways increase inter-jurisdictional efforts.

Language: Английский

Citations

2

Climate‐Smart Invasive Species Management for 21st Century Global Change Challenges DOI Creative Commons
Eva Colberg, Bethany A. Bradley, Toni Lyn Morelli

et al.

Global Change Biology, Journal Year: 2024, Volume and Issue: 30(10)

Published: Oct. 1, 2024

Addressing the global challenges of climate change and biotic invasions requires understanding their interactions implications for natural resource management. To facilitate support invasive species management in a changing climate, we review how interact to impact planning, action, outcomes Climate is facilitating introduction new potential altering pathways spread, with which managers need assess, monitor, target. Climate-driven shifts phenology require more flexible timelines. may reduce efficacy feasibility current treatment methods make native ecosystems vulnerable invasion. Additionally, disturbance caused by extreme events can compound spread impacts biological invasions, making necessary part event preparation response planning. As solution these challenges, propose climate-smart management, define as approaches that decision-makers take address interactive effects invasions. Climate-smart includes considering ranges, abundances, inform monitoring, treatment, policies prevent species. also involve adjusting timing type maintain efficacy, promoting resilient through restoration, when setting goals. Explicitly within organizational decision-making policy lead effective promote landscapes.

Language: Английский

Citations

2

An Analysis of US State Regulated Weed Lists: A Discordance between Biology and Policy DOI Open Access
Vasiliy T. Lakoba, Rachel K. Brooks, David C. Haak

et al.

BioScience, Journal Year: 2020, Volume and Issue: 70(9), P. 804 - 813

Published: July 14, 2020

Abstract Weedy and invasive plants threaten our food supply, native biodiversity, the structure function of ecosystems. The number impact these damaging are expected to continue grow with ongoing global change. Some most common policy tools help mitigate this threat regulatory weed lists, which limit importation movement listed plant species, but there has never been a comprehensive analysis regulated in United States. We analyzed US state lists (e.g., noxious, invasive, prohibited) evaluate their composition, patterns listing, congruities distributions, limitations. In total, 46 states maintain that include 3210 total listings 1249 unique species; 48% them introduced, 40% native, 12% not yet found Overall, species good reflection weeds each state, listing appears largely reactive, regulating after they become widespread. highlight incongruities among discuss implications, especially large

Language: Английский

Citations

17

Testing a Generalizable Machine Learning Workflow for Aquatic Invasive Species on Rainbow Trout (Oncorhynchus mykiss) in Northwest Montana DOI Creative Commons

S. Carter,

Charles B. van Rees, Brian K. Hand

et al.

Frontiers in Big Data, Journal Year: 2021, Volume and Issue: 4

Published: Oct. 18, 2021

Biological invasions are accelerating worldwide, causing major ecological and economic impacts in aquatic ecosystems. The urgent decision-making needs of invasive species managers can be better met by the integration biodiversity big data with large-domain models data-driven products. Remotely sensed products combined existing occurrence via machine learning to provide proactive spatial risk analysis necessary for implementing coordinated agile management paradigms across large scales. We present a workflow that generates rapid assessments on using data, spatially explicit environmental an ensemble approach distribution modeling five algorithms. For proof concept validation, we tested this extensive temporal hybridization from well-studied, ongoing, climate-driven invasion upper Flathead River system northwestern Montana, USA. Rainbow Trout (RBT; Oncorhynchus mykiss ), introduced basin, compete readily hybridize native Westslope Cutthroat (WCT; O. clarkii lewisii spread RBT individuals their alleles has been tracked decades. used remotely other geospatial as key predictors projecting resultant habitat suitability geographic space. technique yielded high accuracy predictions relative 30-fold cross-validated datasets (87% score). Both top model performance these matched current understanding drivers suitability, indicating temperature is factor influencing WCT. congruence between more time-consuming approaches our machine-learning suggest could applied broadly information early detection potential invaders.

Language: Английский

Citations

15

Modeling habitat suitability across different levels of invasive plant abundance DOI
Evelyn M. Beaury, Catherine S. Jarnevich, Ian S. Pearse

et al.

Biological Invasions, Journal Year: 2023, Volume and Issue: 25(11), P. 3471 - 3483

Published: June 30, 2023

Language: Английский

Citations

6