Accounting for the topology of road networks to better explain human‐mediated dispersal in terrestrial landscapes DOI Creative Commons
Charles Rocabert,

Serge Fenet,

Bernard Kaufmann

et al.

Ecography, Journal Year: 2023, Volume and Issue: 2024(3)

Published: Dec. 12, 2023

Human trade and movements are central to biological invasions worldwide. activities not only transport species across biogeographical barriers, but also accelerate their post‐introduction spread in the landscape. Thus, by constraining human movements, spatial structure of road networks might greatly affect regional invasive species. However, few invasion models have accounted for topology so far, its importance explaining distribution remains mostly unexplored. To address this issue, we developed a spatially explicit mechanistic human‐mediated dispersal model that accounts tests influence on Using as ant Lasius neglectus middle Rhône valley (France), show accounting improves our ability explain current ant. In contrast, found using population density proxy frequency events decreases models' performance thus be appropriate previously thought. Finally, differentiating into sub‐networks, national roads more important than smaller patterns. Overall, results demonstrate can strongly bias patterns highlight better incorporating it future models. The modelling approach study should help scientists explore how topography shape dynamics landscapes. Ultimately, could combined with demographic, natural environmental suitability refine scenarios improve monitoring management at scales. Keywords: invasions, dispersal, network, secondary spread, model, stochastic jump

Language: Английский

Understanding and managing introduction pathways into protected areas in a changing climate DOI Creative Commons
Deah Lieurance, Susan Canavan, Katelyn T. Faulkner

et al.

Biological Invasions, Journal Year: 2025, Volume and Issue: 27(2)

Published: Jan. 24, 2025

Language: Английский

Citations

1

Tracking a killer shrimp: Dikerogammarus villosus invasion dynamics across Europe DOI
Ismael Soto, Ross N. Cuthbert, Danish A. Ahmed

et al.

Diversity and Distributions, Journal Year: 2022, Volume and Issue: 29(1), P. 157 - 172

Published: Nov. 6, 2022

Abstract Aim Invasive alien species are a growing problem worldwide due to their ecological, economic and human health impacts. The “killer shrimp” Dikerogammarus villosus is notorious invasive amphipod from the Ponto‐Caspian region that has invaded many fresh brackish waters across Europe. Understandings of large‐scale population dynamics highly impactful invaders such as D. lacking, inhibiting predictions impact efficient timing management strategies. Hence, our aim was assess trends well its impacts in freshwater rivers streams. Location Methods We analysed 96 European time series between 1994 2019 identified relative abundance (i.e. dominance %) series, set site‐specific characteristics identify drivers determinants changes invasion using meta‐regression modelling. also looked at spread over space estimate speed (km/year) investigated on recipient community metrics abundance, taxa richness, temporal turnover, Shannon diversity Pielou evenness) generalized linear models. Results Population varied series. Nevertheless, increased all frequency occurrences (used proxy for invader spread) described by Pareto distribution, whereby we estimated lag phase introduction spatial expansion) approximately 28 years, followed gradual increase before new declined rapidly long term. change associated with decreased turnover diversity. Main Conclusion Our results show well‐established significantly alters ecological communities. However, multidecadal prior observed expansion suggests initial introductions cryptic, thus signalling need more effective early detection methods.

Language: Английский

Citations

31

Biological invasions on Indigenous peoples’ lands DOI
Hanno Seebens, Aidin Niamir, Franz Essl

et al.

Nature Sustainability, Journal Year: 2024, Volume and Issue: 7(6), P. 737 - 746

Published: May 28, 2024

Language: Английский

Citations

7

Present status, future trends, and control strategies of invasive alien plants in China affected by human activities and climate change DOI Creative Commons
Fei Qin,

Baocai Han,

Rainer W. Bussmann

et al.

Ecography, Journal Year: 2023, Volume and Issue: 2024(3)

Published: Dec. 26, 2023

Invasive alien plants (IAPs) have serious environmental and economic impacts, especially in vulnerable areas of China. However, IAP richness distribution patterns, their driving factors, the dynamic shifts potential remain elusive. We assessed patterns drivers using 402 IAPs recorded China at 88 926 occurrence points, then predicted areas. The results show that hotspots were mainly located southeastern China, coastal South East large inland cities. Population density, gross domestic product (GDP), four climate variables associated with precipitation temperature jointly influenced pattern all IAPs. Specifically, population density GDP impacted narrow‐range IAPs, GDP, distance to nearest national highway, five affected widespread Only contributed significantly top 5% hotspot grid cells, whereas driest month (BIO14) for both 10% 20%. Prediction analysis demonstrated would particularly high invasion risk under current future scenarios. Regions increases species are more common (44.83–64.97%) than those decreases, except Representative Concentration Pathway (RCP) 4.5 scenario. Climate change will contribute greatly expansion optimistic (RCP 2.5) pessimistic scenarios 8.5). this study provide insights into priority management by developing promising strategies control prevention invasion.

Language: Английский

Citations

14

Introduction risk of fire ants through container cargo in ports: Data integration approach considering a logistic network DOI Creative Commons

Shota Homma,

Daisuke Murakami, Shinya Hosokawa

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(2), P. e0313849 - e0313849

Published: Feb. 7, 2025

Invasive alien species introduced to ports through cargo containers have destroyed the biodiversity worldwide. The introduction risk at must be estimated control early stages of invasion. However, limited data are available for this estimation in stage. Spatial statistical models been used address lack information by considering observations neighbors or integrating multiple sources based on assumption spatial correlation. Unlike natural dispersal, methods these issues not yet established, because correlation between geographical distance is assumed human-mediated container cargo. Herein, we propose a multivariate conditional autoregressive model that considers logistic network order integrate and estimate risk. A relationship locations logistics connectivity rather than past. Hierarchical Bayesian were implemented two fire ant (Solenopsis invicta Solenopsis geminata) observed Japanese ports. We proposed joint improved fit compared conventional from single dataset. This finding suggests types helps observations. one first studies demonstrate effectiveness biological invasion networks contributes development reliable biosecurity strategies.

Language: Английский

Citations

0

A mechanistic statistical approach to infer invasion characteristics of human‐dispersed species with complex life cycle DOI
Nikunj Goel, Andrew M. Liebhold, Cléo Bertelsmeier

et al.

Ecological Monographs, Journal Year: 2025, Volume and Issue: 95(1)

Published: Feb. 1, 2025

Abstract The rising introduction of invasive species through trade networks threatens biodiversity and ecosystem services. Yet, we have a limited understanding how transportation determine spatiotemporal patterns range expansion. This knowledge gap may stem from two reasons. First, current analytical models fail to integrate the invader's life‐history dynamics with heterogeneity in human‐mediated dispersal patterns. Second, classical statistical methods often provide reliable estimates model parameters, such as time place characteristics, due spatial biases presence‐only records lack informative demographic data. To address these gaps, first formulate an age‐structured metapopulation that uses probability matrix emulate reveals invader spreads radially along shortest network path, inter‐patch distances decrease increasing traffic volume reproductive value hitchhikers. Next, propose hierarchical Bayesian method estimate parameters using data prior knowledge. show utility approach, analyze zebra mussel ( Dreissena polymorpha ) expansion North America inland commercial shipping network. Our analysis suggests mussels might been introduced before 1981, indicating lag 5 years between detection late 1986. Furthermore, our model, estimated one three chance they were near Kingsville (Ontario, Canada), where reported. We also find survival, fecundity, during early life (1–2 years) play critical role determining success mollusks. These results underscore importance fusing scientific observation processes framework for conceptual practical spread by human agency.

Language: Английский

Citations

0

Application of multi-region input-output analysis to examine biosecurity risks associated with the global shipping network DOI
Manfred Lenzen, Mimi W. Tzeng, Oliver Floerl

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 854, P. 158758 - 158758

Published: Sept. 13, 2022

Language: Английский

Citations

11

Analysing ecological dynamics with relational event models: The case of biological invasions DOI Creative Commons
Rūta Juozaitienė, Hanno Seebens, Guillaume Latombe

et al.

Diversity and Distributions, Journal Year: 2023, Volume and Issue: 29(10), P. 1208 - 1225

Published: Aug. 9, 2023

Abstract Aims Spatio‐temporal processes play a key role in ecology, from genes to large‐scale macroecological and biogeographical processes. Existing methods studying such spatio‐temporally structured data either simplify the dynamic structure or complex interactions of ecological drivers. The aim this paper is present generic method for research that allows analysing spatio‐temporal patterns biological at large spatial scales by including time‐varying variables drive these dynamics. Location Global analysis level 272 regions. Methods We introduce called relational event modelling (REM). REM relies on temporal interaction dynamics encode sequences events connecting sender node recipient specific point time. apply spread alien species around globe between 1880 2005, following accidental deliberate introductions into geographical regions outside their native range. In context, represents new occurrence an given its former distribution. Results application models first reported invasions 4835 established ranges four major taxonomic groups enables us unravel main drivers invasive species. Combining records with other information discover which factors have been responsible across globe. Besides usual invasions, as trade, land use climatic conditions, we also find evidence species‐interconnectedness spread. Conclusions Relational offer capacity account investigate how relationships potential change over

Language: Английский

Citations

4

A mechanistic statistical approach to infer invasion characteristics of human-dispersed species with complex life cycle DOI Creative Commons
Nikunj Goel, Andrew M. Liebhold, Cléo Bertelsmeier

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 12, 2024

Abstract The rising introduction of invasive species through trade networks threatens biodiversity and ecosystem services. Yet, we have a limited understanding how transportation determine patterns range expansion. This is partly because current analytical models fail to integrate the invader’s life-history dynamics with heterogeneity in human-mediated dispersal patterns. And classical statistical methods often provide reliable estimates model parameters due spatial biases presence-only records lack informative demographic data. To address these gaps, first formulate an age-structured metapopulation that uses probability matrix emulate reveals invader spreads along shortest network path, such inter-patch distances decrease increasing traffic volume reproductive value hitchhikers. Next, propose Bayesian method estimate using data prior knowledge. show utility approach, analyze zebra mussel ( Dreissena polymorpha ) expansion North America commercial shipping network. Our analysis underscores importance correcting leveraging priors answer questions, as where when mussels were introduced what characteristics make mollusks successful invaders.

Language: Английский

Citations

1

Continuum of global to local dispersal frameworks highlights the increasing threat of pine wilt disease in China DOI Creative Commons
Haoxiang Zhao, Xiaoqing Xian, Nianwan Yang

et al.

Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: 54, P. e03059 - e03059

Published: June 25, 2024

The global introduction of human-mediated trade and local dispersal through transport or natural pathways are major processes contributors to biological invasion. To effectively prevent manage invasion, invasions need be considered as a continuum (CGLD). However, there has been no unified CGLD framework developed that simultaneously considers pathway dynamics multiple with guide the development effective management priority strategies for pine wilt disease. In this study, we constructed evaluate risks This is an invasive forest pathogen caused by wood nematode (PWN) Bursaphelenchus xylophilus, which causes severe harm forestry ecosystems worldwide. network indicated pressure PWN continually increased during 2003–2016. highest-risk source country entry port were United States Jiangsu ports, respectively. modes mainly presented random structure lots "in-filling" events 2010–2021. populations in China have gradually dispersed non-analogous climatic regions compared those native other ranges. risk areas primarily cover southwestern, eastern, central, northeastern China. Such integration can facilitate more accurate prediction invasion provide vital guidance designing

Language: Английский

Citations

1