4.5 Article

The structure and strength of environmental variation modulate covariance patterns. A reply to Houlahan et al. 2008

Journal

OIKOS
Volume 117, Issue 12, Pages 1914-1914

Publisher

WILEY-BLACKWELL PUBLISHING, INC
DOI: 10.1111/j.1600-0706.2008.17314.x

Keywords

-

Categories

Ask authors/readers for more resources

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Plant Sciences

Metabolic responses of two pioneer wood decay fungi to diurnally cycling temperature

Anna Rawlings, Eoin O'Connor, Suzy C. Moody, Ed Dudley, Lynne Boddy, Mike S. Fowler, David A. Fitzpatrick, Sean Doyle, Dan C. Eastwood

Summary: The decomposition of lignin-rich wood by fungi plays a crucial role in nutrient recycling in woodland ecosystems, with fluctuating temperatures affecting ecosystem functioning. Metabolomics and proteomics can provide insights into the metabolic processes influenced by fluctuating abiotic conditions.

JOURNAL OF ECOLOGY (2022)

Article Ecology

Effects of phenotypic variation on consumer coexistence and prey community structure

Shane L. Hogle, Iina Hepolehto, Lasse Ruokolainen, Johannes Cairns, Teppo Hiltunen, Jonathan Chase

Summary: Modifying intraspecific trait diversity can alter competitive hierarchies between different species, leading to competitive exclusion. This competitive outcome is driven by foraging traits and has significant impacts on prey community assembly.

ECOLOGY LETTERS (2022)

Article Evolutionary Biology

Rich resource environment of fish farms facilitates phenotypic variation and virulence in an opportunistic fish pathogen

Katja Pulkkinen, Tarmo Ketola, Jouni Laakso, Johanna Mappes, Lotta-Riina Sundberg

Summary: This study found that the intensive farming environment induces higher phenotypic variation in fish pathogens compared to the natural environment. The study also observed that phenotypic variation is driven by the exploitation of increased outside-host resources at farms. Furthermore, the study suggests that environmental conditions at fish farms could select isolates with high phenotypic variation in bacterial population and thus affect the evolution of F. columnare at fish farms.

EVOLUTIONARY APPLICATIONS (2022)

Review Ecology

Rewriting results sections in the language of evidence

Stefanie Muff, Erlend B. Nilsen, Robert B. O'Hara, Chloe R. Nater

Summary: Despite criticism, the black-or-white null-hypothesis significance testing with an arbitrary P-value cutoff remains the standard way to report scientific findings. However, a lack of knowledge about suitable alternatives hampers progress. This study suggests using a language of evidence as a simpler and more intuitive alternative, which allows for a more nuanced approach in communicating scientific findings.

TRENDS IN ECOLOGY & EVOLUTION (2022)

Editorial Material Ecology

An open future for MEE

Aaron M. Ellison, Robert B. O'Hara, Natalie Cooper, Nicolas Lecomte

METHODS IN ECOLOGY AND EVOLUTION (2022)

Article Ecology

Concurrent ordination: Simultaneous unconstrained and constrained latent variable modelling

Bert van der Veen, Francis K. C. Hui, Knut A. Hovstad, Robert B. O'Hara

Summary: In community ecology, unconstrained ordination and constrained ordination are used to explore drivers of community composition indirectly and directly, respectively. However, existing constrained ordination methods do not explicitly account for community composition that cannot be explained by the predictors, potentially leading to misrepresentation. This article proposes and develops new methods that incorporate predictors directly into an ordination, and evaluates their performance against popular methods in community ecology.

METHODS IN ECOLOGY AND EVOLUTION (2023)

Article Multidisciplinary Sciences

Recognizability bias in citizen science photographs

Wouter Koch, Laurens Hogeweg, Erlend B. Nilsen, Robert B. O'Hara, Anders G. Finstad

Summary: Citizen science and automated collection methods rely on image recognition for observational data, but recognition models also require large amounts of data, creating a feedback loop. Harder-to-recognize species tend to be under-reported and less prevalent in training data, hampering training for challenging species. This study found a 'recognizability bias' across multiple taxa, where species easily identified by humans and models are more prevalent in available image data, regardless of picture quality or biological traits. This has implications for training future models with more data.

ROYAL SOCIETY OPEN SCIENCE (2023)

Review Multidisciplinary Sciences

Insights into the quantification and reporting of model-related uncertainty across different disciplines

Emily G. Simmonds, Kwaku Peprah Adjei, Christoffer Wold Andersen, Janne Cathrin Hetle Aspheim, Claudia Battistin, Nicola Bulso, Hannah M. Christensen, Benjamin Cretois, Ryan Cubero, Ivan A. Davidovich, Lisa Dickel, Benjamin Dunn, Etienne Dunn-Sigouin, Karin Dyrstad, Sigurd Einum, Donata Giglio, Haakon Gjerlow, Amelie Godefroidt, Ricardo Gonzalez-Gil, Soledad Gonzalo Cogno, Fabian Grosse, Paul Halloran, Mari F. Jensen, John James Kennedy, Peter Egge Langsaether, Jack H. Laverick, Debora Lederberger, Camille Li, Elizabeth G. Mandeville, Caitlin Mandeville, Espen Moe, Tobias Navarro Schroeder, David Nunan, Jorge Sicacha-Parada, Melanie Rae Simpson, Emma Sofie Skarstein, Clemens Spensberger, Richard Stevens, Aneesh C. Subramanian, Lea Svendsen, Ole Magnus Theisen, Connor Watret, Robert B. O'Hara

Summary: Quantifying and reporting the uncertainty associated with models is crucial in different scientific fields, and there is still limited knowledge about how different fields approach this issue.

ISCIENCE (2022)

Article Biodiversity Conservation

Integrated species distribution models fitted in INLA are sensitive to mesh parameterisation

Lea I. Dambly, Nick J. B. Isaac, Kate E. Jones, Katherine L. Boughey, Robert B. O'Hara

Summary: The ever-growing popularity of citizen science and technological developments allow for rapid data collection on species' distributions. Point process models fitted using Bayesian INLA with SPDEs provide an elegant way to integrate this data. However, the setting of mesh parameters in these models and their effect on prediction accuracy and covariate effects remains poorly understood. This study assesses the impact of mesh parameters on the distribution estimation of the serotine bat in Great Britain and highlights the importance of careful mesh parameterization in model inference.

ECOGRAPHY (2023)

Article Multidisciplinary Sciences

Limited climatic space for alternative ecosystem states in Africa

Steven I. Higgins, Timo Conradi, Laurence M. Kruger, Robert B. O. 'Hara, Jasper A. Slingsby

Summary: One of the foundational premises of ecology is the influence of climate on ecosystems, but alternative ecosystem state models have challenged this notion. However, using a novel phytoclimatic transform, it has been found that climatic suitability can effectively discriminate between forest and savanna ecosystems in Africa.

SCIENCE (2023)

Article Ecology

PointedSDMs: An R package to help facilitate the construction of integrated species distribution models

Philip S. S. Mostert, Robert B. B. O'Hara

Summary: Ecological data from various sources are being collected in large scale, but there is a lack of tools and software to integrate these datasets into a unified framework. This paper presents PointedSDMs, an easy-to-use R package for constructing integrated species distribution models, which simplifies the modeling process and facilitates further analysis. A case study using the package is also presented.

METHODS IN ECOLOGY AND EVOLUTION (2023)

Article Multidisciplinary Sciences

Distinct healthy and atopic canine gut microbiota is influenced by diet and antibiotics

Hanna Sinkko, Jenni Lehtimaki, Hannes Lohi, Lasse Ruokolainen, Anna Hielm-Bjorkman

Summary: The rising trend in non-communicable chronic inflammatory diseases coincides with changes in Western lifestyle. While changes in the human microbiota may play a central role in the development of chronic diseases, estimating the contribution of associated lifestyle factors remains challenging. We studied the influence of lifestyle factors, such as diet, antibiotic use, and residential environment, on the gut microbiota of healthy and atopic pet dogs. The results showed that diet was the most significant factor associated with gut microbiota, while antibiotic use was associated with the severity of symptoms in atopic dogs.

ROYAL SOCIETY OPEN SCIENCE (2023)

Review Allergy

A short history from Karelia study to biodiversity and public health interventions

Tari Haahtela, Harri Alenius, Petri Auvinen, Nanna Fyhrquist, Leena von Hertzen, Pekka Jousilahti, Piia Karisola, Tiina Laatikainen, Jenni Lehtimaki, Laura Paalanen, Lasse Ruokolainen, Kimmo Saarinen, Erkka Valovirta, Tuula Vasankari, Tiina Vlasoff, Marina Erhola, Jean Bousquet, Erkki Vartiainen, Mika J. J. Makela

Summary: Contact with natural environments enriches the human microbiome, promotes immune balance, and protects against allergies and inflammatory disorders. The Karelia Allergy Study 2002-2022 showed that allergic conditions were more common on the Finnish side due to environmental and lifestyle changes. The Finnish Allergy Programme 2008-2018 and Nature Step to Health 2022-2032 have implemented measures to improve immune tolerance, nature contacts, and allergy health.

FRONTIERS IN ALLERGY (2023)

Letter Ecology

Response to 'Why P values are not measures of evidence' by D. Lakens

Stefanie Muff, Erlend B. Nilsen, Robert B. O'Hara, Chloe R. Nater

TRENDS IN ECOLOGY & EVOLUTION (2022)

No Data Available