Review
Biodiversity Conservation
Julie A. Lee-Yaw, Jenny L. McCune, Samuel Pironon, Seema N. Sheth
Summary: Species distribution models (SDMs) are widely used in ecology to infer habitat suitability for species of interest; however, studies show a decline in predictive performance from occurrence to genetic diversity, with higher success rates in single species evaluations. The limited accuracy of SDMs reported may reflect the best-case scenario, emphasizing the need for independent data validation when using these models in conservation decisions.
Article
Ecology
Remi Gerber, Christophe Piscart, Jean-Marc Roussel, Romain Georges, Thomas Houet, Justine Royer, Benjamin Bergerot
Summary: This study predicts the distribution of aquatic insects in a heterogeneous agricultural landscape for the first time using different landscape variables and random forest models. The predictions suggest that the occurrence of aquatic insects across terrestrial ecosystems is higher than previously thought.
Article
Environmental Sciences
A. Blanco, A. R. Larrinaga, J. M. Neto, J. Troncoso, G. Mendez, P. Dominguez-Lapido, A. Ovejero, L. Pereira, T. M. Mouga, R. Gaspar, B. Martinez, M. F. L. Lemos, C. Olabarria
Summary: Invasive macroalgae pose a significant threat to marine biodiversity and ecosystem functioning. A study mapping the probability of presence of six invasive macroalgae in the north-western Iberian Peninsula found that physico-chemical variables were crucial in predicting their distribution, while anthropogenic factors greatly improved the estimates of occurrence probability for these species. Management efforts should focus on strengthening control and surveillance at ports, particularly in southern Galician rias, to effectively manage these invasive macroalgae.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Ecology
Dat Nguyen, Brian Leung
Summary: This study examined the spatial transferability of species distribution models (SDMs) for 647 non-indigenous species across 1,867 invaded ranges. The results showed that the average transferability of SDMs was moderate to low when extrapolating to exotic ranges. Transferability differed between taxonomic classes and invaded continents, and was influenced by model performance, environmental generalism in the native range, and the year of first record.
GLOBAL ECOLOGY AND BIOGEOGRAPHY
(2022)
Article
Chemistry, Multidisciplinary
Wang-Hee Lee, Jae-Woo Song, Sun-Hee Yoon, Jae-Min Jung
Summary: This study developed machine learning-based species distribution models to predict the potential distribution of two invasive ant species globally under current and future climates. The models showed that the potential distribution of Solenopsis invicta would expand with climate change, while it would not significantly change for Anoplolepis gracilipes. The different performance and projection size of the models suggest that optimal model selection is necessary to minimize modeling uncertainty.
APPLIED SCIENCES-BASEL
(2022)
Article
Plant Sciences
Ilona Szumanska, Sandra Lubinska-Mielinska, Dariusz Kaminski, Lucjan Rutkowski, Andrzej Nienartowicz, Agnieszka Piernik
Summary: The research aimed to identify the main vectors and distribution pattern of invasive alien species of plants in the city environment, analyzing the data collected from 515 permanent plots over a 42-year period. The study found significant correlations between species distribution and soil and habitat types, providing valuable insights for local efforts in managing and controlling invasive species.
Article
Multidisciplinary Sciences
Jamie Hudson, Juan Carlos Castilla, Peter R. Teske, Luciano B. Beheregaray, Ivan D. Haigh, Christopher D. McQuaid, Marc Rius
Summary: This study used species distribution modeling and genomic data to investigate the restricted range of a highly invasive Australian marine species, Pyura praeputialis, in Chile. The research revealed high genomic diversity and adaptive potential in Chile, with genomic data showing that a single region in Australia was the sole source of genotypes for the introduced range. The study also identified unoccupied suitable habitat adjacent to the current introduced range, suggesting that slight environmental changes could lead to a significant expansion of the species' range along the South American coast.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Business, Finance
Jan Annaert, Marc De Ceuster, Jef Van Cappellen
Summary: Jondeau et al. (2020) find that average stock return skewness can predict stock market returns. However, we are unable to replicate this result in a broad sample of stock returns from the well-developed euro area stock markets. Accounting for potential slower information dissemination or using alternative skewness estimators does not lead to finding predictability.
FINANCE RESEARCH LETTERS
(2023)
Article
Entomology
Hua Zhang, Jinyue Song, Haoxiang Zhao, Ming Li, Wuhong Han
Summary: This study used a geographic detector model and MaxEnt model to predict the potential suitable growth areas of Leptocybe invasa in China in 2030 and 2050. The results indicate that under future climate change scenarios, the core distribution areas of L. invasa in China will be in Yunnan, Guangxi, Guangdong, and Hainan, with a potential spread to high latitude regions. The research has significant theoretical importance for controlling the growth and development of L. invasa and creating effective control measures.
Article
Biodiversity Conservation
Shiping Gong, Yangchun Gao, Haoran Duan, Yan Ge, Yufeng Wei
Summary: Species distribution models (SDMs) have been discredited for ignoring physiological processes, but incorporating physiological tolerance is essential for improving prediction accuracy. This study incorporated embryo temperature tolerance into the SDM for the red-eared slider, a globally invasive species in China. The SDM considering embryo temperature tolerance predicted smaller high suitability areas and reduced the extent of edges. High suitability areas were concentrated in South, Central, and East China, with minimal invasion risk in northeast and northwest provinces.
ECOLOGICAL INDICATORS
(2023)
Article
Biodiversity Conservation
David P. Coulter, Zachary S. Feiner, Alison A. Coulter, Matthew W. Diebel
Summary: Preventing the establishment of invasive species is a critical global conservation priority. This study developed an individual-based model to predict the habitat suitability of rivers in the northern United States for two invasive fish species, silver carp and bighead carp. The study also explored the potential effects of climate change on habitat suitability. The results highlight the importance of proactive conservation planning, early detection monitoring, and prevention efforts.
JOURNAL OF APPLIED ECOLOGY
(2022)
Article
Ecology
Stephen J. Murphy, Adam B. Smith
Summary: Species distribution and ecological niche models are widely used tools in research and conservation, but their potential in understanding community-level patterns is an emerging field. This review discusses important topics such as predicting community attributes and rare species detection, highlighting the role these models can play in advancing community ecology.
Article
Biodiversity Conservation
Lukas Gabor, Walter Jetz, Alejandra Zarzo-Arias, Kevin Winner, Scott Yanco, Stefan Pinkert, Charles J. Marsh, Matthew S. Rogan, Jussi Makinen, Duccio Rocchini, Vojtech Bartak, Marco Malavasi, Petr Balej, Vitezslav Moudry
Summary: Species distribution models are commonly used to study species-environment relationships, but the accuracy of these models can be affected by positional uncertainty in species occurrence data. This study investigated the impact of known positional errors on the recovery of species-environment relationships, and found that positional uncertainty decreased predictive model performance but had weaker effects on the interpretability of the models.
Article
Biodiversity Conservation
Alice Monnier-Corbel, Alexandre Robert, Yves Hingrat, Blas M. Benito, Anne-Christine Monnet
Summary: Habitat Suitability Index (HSI) derived from Species Distribution Model (SDM) has been used to infer or predict local demographic properties such as abundance for many species. However, the relationship between HSI and abundance has been a topic of debate, with some studies showing a lack of correlation. To better understand this relationship, we studied the temporal variation of HSI and abundance using data from a 10-year monitoring of a Houbara bustard population in Morocco. Our results showed a triangular relationship between local abundance and HSI, with the upper limit of abundance increasing with HSI. Additionally, sites with the highest HSI had the least variation in abundance. These findings provide empirical evidence supporting the importance of investigating the relationship between HSI and abundance using temporal variation.
GLOBAL ECOLOGY AND CONSERVATION
(2023)
Article
Biodiversity Conservation
James T. Thorson, Cheryl L. Barnes, Sarah T. Friedman, Janelle L. Morano, Margaret C. Siple
Summary: Species distribution models (SDMs) are commonly used to analyze the relationship between species occurrence/density and environmental conditions, often including a spatially correlated variable. Spatially varying coefficients (SVCs) in SDMs have received less attention but have the potential to improve interpretability and descriptive power. This article reviews the benefits of using SVCs in ecological contexts such as ecological teleconnections, density-dependent habitat selection, spatially varying detectability, and interactions with unmeasured covariates. Detailed examples using the vector autoregressive spatio-temporal (VAST) model illustrate the advantages of SVCs in analyzing decadal trends, community assembly, and population dynamics. SVCs extend the capabilities of SDMs and enhance our understanding of ecological processes.
Article
Ecology
Guillaume Latombe, David M. Richardson, Melodie A. McGeoch, Res Altwegg, Jane A. Catford, Jonathan M. Chase, Franck Courchamp, Karen J. Esler, Jonathan M. Jeschke, Pietro Landi, John Measey, Guy F. Midgley, Henintsoa O. Minoarivelo, James G. Rodger, Cang Hui
Summary: Community and invasion ecology have largely developed independently, but there is overlap in processes captured by different models. A process-based framework has been proposed to synthesize information across these two fields and enable comparison, revealing lack of coherence and historical dominance of interaction processes. Successful integration of the two fields could advance predictive ecology in a rapidly changing world.
Article
Biodiversity Conservation
Ivan Jaric, Celine Bellard, Ricardo A. Correia, Franck Courchamp, Karel Douda, Franz Essl, Jonathan M. Jeschke, Gregor Kalinkat, Lukas Kalous, Robert J. Lennox, Ana Novoa, Raphael Proulx, Petr Pysek, Andrea Soriano-Redondo, Allan T. Souza, Reut Vardi, Diogo Verissimo, Uri Roll
CONSERVATION BIOLOGY
(2021)
Article
Biodiversity Conservation
Danish A. Ahmed, Emma J. Hudgins, Ross N. Cuthbert, Phillip J. Haubrock, David Renault, Elsa Bonnaud, Christophe Diagne, Franck Courchamp
Summary: The rate of biological invasions is rapidly increasing, posing a threat to global ecological and economic systems. This study developed a novel mathematical model to analyze the temporal trends of invasion costs based on population dynamics. The results revealed fundamental differences in cost dynamics among different genera, influenced by invasion duration, species ecology, and economic sectors impacted.
BIOLOGICAL INVASIONS
(2022)
Article
Biodiversity Conservation
Virginia G. Duboscq-Carra, Romina D. Fernandez, Phillip J. Haubrock, Romina D. Dimarco, Elena Angulo, Liliana Ballesteros-Mejia, Christophe Diagne, Franck Courchamp, Martin A. Nunez
Summary: This study provides the first analysis of the economic cost of invasive alien species (IAS) in Argentina at the national level, using the InvaCost database. It found that the reported costs of IAS in Argentina are high, yet likely underestimated due to important data gaps and biases in the literature.
Article
Biodiversity Conservation
Phillip J. Haubrock, Ross N. Cuthbert, Elena Tricarico, Christophe Diagne, Franck Courchamp, Rodolphe E. Gozlan
Summary: While the ecological impacts of invasion by alien species have been well documented, little is known of the economic costs incurred. The overall economic cost of invasions to Italy between 1990 and 2020 was estimated at US$ 819.76 million, with the majority of costs concentrated in terrestrial habitats.
Article
Biodiversity Conservation
Axel Eduardo Rico-Sanchez, Phillip J. Haubrock, Ross N. Cuthbert, Elena Angulo, Liliana Ballesteros-Mejia, Eugenia Lopez-Lopez, Virginia G. Duboscq-Carra, Martin A. Nunez, Christophe Diagne, Franck Courchamp
Summary: This study utilized data from the InvaCost project to quantify and describe the economic costs of invasions in Mexico. The costs of invasions in Mexico were split between aquatic and terrestrial invaders, with costs from damages to resources four times higher than those from management of IAS.
Article
Biodiversity Conservation
Phillip J. Haubrock, Ross N. Cuthbert, Andrea Sundermann, Christophe Diagne, Marina Golivets, Franck Courchamp
Summary: The economic cost of invasive alien species in Germany between 1960 and 2020 was estimated at US$ 9.8 billion, with potential costs of US$ 8.9 billion. The costs were driven by a broad range of taxa, mainly related to control-related spending and resource damages or losses. With increasing invasion rates, economic costs are expected to rise further, highlighting the need for improved evaluation and reporting to effectively manage invasions.
Article
Biodiversity Conservation
Phillip J. Haubrock, Ross N. Cuthbert, Darren C. J. Yeo, Achyut Kumar Banerjee, Chunlong Liu, Christophe Diagne, Franck Courchamp
Summary: The study highlights the economic costs incurred from invasive species in Singapore and Southeast Asia, with a focus on the impact of invasive insects in the Culicidae family. Despite limited cost data available, the estimated total economic costs were substantial, indicating the need for improved evaluation and reporting to support effective mitigation and management strategies.
Article
Biodiversity Conservation
Alok Bang, Ross N. Cuthbert, Phillip J. Haubrock, Romina D. Fernandez, Desika Moodley, Christophe Diagne, Anna J. Turbelin, David Renault, Tatenda Dalu, Franck Courchamp
Summary: Biological invasions are a major driver of the biodiversity crisis, with significant economic impacts. However, there are knowledge gaps regarding the economic costs of invasive alien species (IAS), particularly in emerging economies like India. This study synthesized data on the economic costs of IAS in India, revealing that IAS have cost the Indian economy billions of dollars over several decades. The reported costs greatly underestimate the actual costs, and there is a need for more specific allocation of costs and a national research program on biological invasions in India.
BIOLOGICAL INVASIONS
(2022)
Article
Biodiversity Conservation
Phillip J. Haubrock, Ross N. Cuthbert, Anthony Ricciardi, Christophe Diagne, Franck Courchamp
Summary: This study assesses the spatio-temporal and taxonomic patterns of costs associated with invasive freshwater bivalves and identifies knowledge gaps. The results reveal that the cumulative global costs of invasive macrofouling bivalves amounted to $63.7 billion between 1980 and 2020, with significant taxonomic and spatial biases, primarily concentrated in North America.
DIVERSITY AND DISTRIBUTIONS
(2022)
Article
Biodiversity Conservation
Anne-Charlotte Vaissiere, Pierre Courtois, Franck Courchamp, Melina Kourantidou, Christophe Diagne, Franz Essl, Natalia Kirichenko, Melissa Welsh, Jean-Michel Salles
Summary: The article provides a synthesis of the nature and diversity of economic costs associated with invasive alien species (IAS) and discusses the potential for their assessment. This is crucial for improving the understanding and management of IAS costs across disciplines, as well as for designing effective policies and raising societal awareness.
BIOLOGICAL INVASIONS
(2022)
Article
Green & Sustainable Science & Technology
Guillaume Latombe, Hanno Seebens, Bernd Lenzner, Franck Courchamp, Stefan Dullinger, Marina Golivets, Ingolf Kuehn, Brian Leung, Nuria Roura-Pascual, Emma Cebrian, Wayne Dawson, Christophe Diagne, Jonathan M. Jeschke, Cristian Perez-Granados, Dietmar Moser, Anna Turbelin, Piero Visconti, Franz Essl
Summary: This study investigated the impact of socio-economic and environmental factors on biological invasions and found that trade, governance, lifestyle and education are the best indicators for explaining invasive species richness and a country's capacity to manage invasions. Historical levels of governance and trade were found to have a stronger influence than recent levels, highlighting the importance of historical factors in shaping future invasions. The results provide valuable insights for decision-making and management of biological invasions.
SUSTAINABILITY SCIENCE
(2023)
Article
Ecology
Boris Leroy, Andrew M. Kramer, Anne-Charlotte Vaissiere, Melina Kourantidou, Franck Courchamp, Christophe Diagne
Summary: InvaCost is a global database that provides cost data on invasive alien species, and the invacost r package serves as a tool for querying and analyzing this data. This package helps scientists better understand and study the economic costs of invasive species, while addressing issues of repeatability and comparability in research, promoting interdisciplinary studies.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Article
Environmental Sciences
Fabrice Requier, Alice Fournier, Sophie Pointeau, Quentin Rome, Franck Courchamp
Summary: A study found that the invasive Yellow-legged hornet has significant ecological and economic impacts on honey bees and beekeeping. In a high predation scenario, it could lead to a mortality risk of up to 29.2% of beekeepers' livestock at a national scale, resulting in an annual cost of up to 30.8 million euros. This study is important for assessing the impacts of invasive species on honey bees and beekeeping.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)