Preprints

Filtering by Subject: Life Sciences

Evolutionary outcomes arising from bistability in ecosystem dynamics

Sirine Boucenna, Vasilis Dakos, Gael Raoul

Published: 2024-01-22
Subjects: Life Sciences

While it is known that shallow lakes ecosystems may experience abrupt shifts (ie tipping points) from one state to a contrasting degraded alternative state as a result of gradual environmental changes, the role of evolutionary processes and the impact of trait variation in this context remain largely unexplored. It is crucial to elucidate how eco-evolutionary feedbacks affect abrupt ecological [...]

Food web trophic control modulates tropical Atlantic reef ecosystems response to marine heat wave intensity and duration

Camila Artana, Leonardo Capitani, Gabriel Santos Garcia, et al.

Published: 2024-01-22
Subjects: Life Sciences

1. Marine Heat Waves (MHWs) are episodes of anomalous warming in the ocean that can last from a few days to months. MHWs have different characteristics in terms of intensity, duration, and frequency and generate thermal stress on marine ecosystems. In reef ecosystems, they are one of the main causes of decreased presence and abundance of corals, invertebrates, and fish. The deleterious capacity [...]

Non-linearity and temporal variability are overlooked components of global population dynamics

Maëlys Boënnec, Vasilis Dakos, Vincent Devictor

Published: 2024-01-22
Subjects: Life Sciences

Aim. Population dynamics are usually assessed through linear trend analysis, quantifying their general direction. However, linear trends may hide substantial variations in population dynamics that could reconcile apparent discrepancies when quantifying the extent of the biodiversity crisis. We seek to determine whether the use of non-linear methods and [...]

A photographic guide for determining egg incubation stage in the Superb Fairy-wren (Malurus cyaneus)

Elisa Resendez, Paulo Ditzel, Paul Kessler, et al.

Published: 2024-01-19
Subjects: Life Sciences

When monitoring the nesting biology of wild birds, nests are often found after the eggs have been laid and incubation has commenced. Candling—the use of a bright light to illuminate egg contents—is a useful method for estimating embryo development and incubation stage. This information is used to estimate when incubation started and predict when eggs will hatch. As the focus of several long-term [...]

Use of a communal display area by Rufous Whistlers (Pachycephala rufiventris)

Paul Kessler, James Kennerley, Elisa Resendez, et al.

Published: 2024-01-19
Subjects: Life Sciences

Opportunity Begets Opportunity to Drive Macroevolutionary Dynamics of a Diverse Lizard Radiation

Laura Alencar, Orlando Schwery, Meaghan R. Gade, et al.

Published: 2024-01-19
Subjects: Biodiversity, Ecology and Evolutionary Biology, Life Sciences

Evolution proceeds unevenly across the tree of life, with some lineages accumulating diversity more rapidly than others. Explaining this disparity is challenging as similar evolutionary triggers often do not result in analogous shifts across the tree, and similar shifts may reflect different evolutionary triggers. We used a combination of approaches to directly consider such context-dependency [...]

neonPlantEcology: an R package for preparing NEON plant data for use in ecological research

Adam Lee Mahood, Jacob Macdonald, Ranjan Muthukrishnan, et al.

Published: 2024-01-18
Subjects: Ecology and Evolutionary Biology, Life Sciences

The National Ecological Observatory Network (NEON) is a continental-scale endeavor of ecological data collection for 30 years. We created a software package, neonPlantEcology that automatically arranges the raw data from the plant presence and percent cover (DP1.10058.001) data product from NEON into tables familiar to plant ecologists. Because of the broad scale of the observatory, it is [...]

Opportunities and challenges in applying AI to evolutionary morphology

Yichen He, James M. Mulqueeney, Emily C. Watt, et al.

Published: 2024-01-17
Subjects: Life Sciences

Artificial intelligence (AI) is poised to revolutionise many aspects of science, including the study of evolutionary morphology. While classical AI methods such as principal component analysis and cluster analysis have been commonplace in the study of evolutionary morphology for decades, recent years have seen increasing application of deep learning to ecology and evolutionary biology. As [...]

Asteraceae in isolation: diversity and island biogeography of the largest plant family

Lizzie Roeble, Koen van Benthem, Patrick Weigelt, et al.

Published: 2024-01-17
Subjects: Ecology and Evolutionary Biology, Life Sciences

The hyperdiverse plant family Asteraceae, with over 32,000 species globally, forms an iconic component of island floras, including many spectacular radiations, but a global picture of their insular diversity is lacking. Here, we uncover the global biogeographical and evolutionary patterns of Asteraceae on islands to reveal the magnitude and potential causes of their evolutionary success. We [...]

A big data and machine learning approach for monitoring the condition of ecosystems

Miguel Equihua, Octavio Pérez-Maqueo, Julián Equihua, et al.

Published: 2024-01-16
Subjects: Applied Statistics, Biodiversity, Bioinformatics, Earth Sciences, Ecology and Evolutionary Biology, Environmental Sciences, Forest Biology, Forest Sciences, Life Sciences, Other Ecology and Evolutionary Biology, Physical Sciences and Mathematics, Statistical Methodology, Statistical Models, Terrestrial and Aquatic Ecology

Ecosystems are highly valuable as a source of goods and services and as a heritage for future generations. Knowing their condition is extremely important for all management and conservation activities and public policies. Until now, the evaluation of ecosystem condition has been unsatisfactory and thus lacks practical implementation for most countries. We propose that ecosystem integrity is a [...]

The cytoarchitecture of the telencephalon of Labroides dimidiatus (Labridae)

Dominika Chojnacka, Paweł Boguszewski, Jarosław Jerzy Barski, et al.

Published: 2024-01-16
Subjects: Life Sciences

As evidence for advanced cognitive abilities in fishes steadily increases, cytoarchitectonic studies of the Actinopterygian telencephalon receive increasing interest by neuro-ethologists. However, the amount of information concerning brain organization in this group is still rather small. Here, we present a cytoarchitectonic analysis of the telencephalon of Labroides dimidiatus, a species showing [...]

The moulting arthropod: a complete genetic toolkit review

Giulia Campli, Olga Volovych, Kenneth Kim, et al.

Published: 2024-01-14
Subjects: Life Sciences

Exoskeletons are a defining character of all arthropods that provide physical support for their segmented bodies and appendages as well as protection from the environment and predation. This ubiquitous yet evolutionarily variable feature has been instrumental in facilitating the adoption of a variety of lifestyles and the exploitation of ecological niches across all environments. Throughout the [...]

The power of touch: from survival to enduring, prosocial cooperation

Michael Griesser, Nigel C Bennett, Judith M Burkart, et al.

Published: 2024-01-14
Subjects: Life Sciences

Cooperation is a pivotal biological phenomenon that occurs in many forms. In species that engage in helping, individuals vary in association time and the extent of physical proximity, influencing the extent of touching between individuals. Here, we emphasize the importance of touch in the development and maintenance of parenting and mate bonds, and its link to cooperation. Touch activates a [...]

Animal social networks are robust to changing association definitions

Alex Hoi Hang Chan, Jamie Dunning, Terry Burke, et al.

Published: 2024-01-12
Subjects: Animal Sciences, Behavior and Ethology, Ecology and Evolutionary Biology, Life Sciences, Ornithology

The interconnecting links (edges) between individuals (nodes) in an animal social network are often defined by discrete, directed behaviours (interactions). However, where interactions are difficult to observe, a network edge is instead defined as individuals sharing space or overlapping in time (an association). Despite an increasingly accessible toolkit to assemble and analyse animal social [...]

Vulnerability of amphibians to global warming

Patrice Pottier, Michael R. Kearney, Nicholas C. Wu, et al.

Published: 2024-01-12
Subjects: Ecology and Evolutionary Biology, Life Sciences

Amphibians are the most threatened vertebrates, yet their resilience to rising temperatures remains poorly understood. This is primarily because knowledge of thermal tolerance is taxonomically and geographically biased, compromising global climate vulnerability assessments. Here, we employed a phylogenetically-informed data imputation approach to predict the heat tolerance of 60% of amphibian [...]

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