We should not necessarily expect positive relationships between biodiversity and ecosystem functioning in observational field data
Our current, empirical understanding of the relationship between biodiversity and ecosystem
function is based on two information sources. First, controlled experiments which show …
function is based on two information sources. First, controlled experiments which show …
Causal inference with observational data and unobserved confounding variables
Experiments have long been the gold standard for causal inference in Ecology. As Ecology
tackles progressively larger problems, however, we are moving beyond the scales at which …
tackles progressively larger problems, however, we are moving beyond the scales at which …
Predictive models aren't for causal inference
Ecologists often rely on observational data to understand causal relationships. Although
observational causal inference methodologies exist, predictive techniques such as model …
observational causal inference methodologies exist, predictive techniques such as model …
Identifying direct and indirect associations among traits by merging phylogenetic comparative methods and structural equation models
Traits underlie organismal responses to their environment and are essential to predict
community responses to environmental conditions under global change. Species differ in life …
community responses to environmental conditions under global change. Species differ in life …
Latitudinal patterns in stabilizing density dependence of forest communities
Numerous studies have shown reduced performance in plants that are surrounded by
neighbours of the same species,, a phenomenon known as conspecific negative density …
neighbours of the same species,, a phenomenon known as conspecific negative density …
Drivers of arthropod biodiversity in an urban ecosystem
Our world is becoming increasingly urbanized with a growing human population
concentrated around cities. The expansion of urban areas has important consequences for …
concentrated around cities. The expansion of urban areas has important consequences for …
Glucagon-like peptide-1 receptor agonist use and residual gastric content before anesthesia
Importance Glucagon-like peptide-1 receptor agonist (GLP-1 RA) use is rapidly increasing in
the US, driven by its expanded approval for weight management in addition to …
the US, driven by its expanded approval for weight management in addition to …
Improving generalization of machine learning-identified biomarkers using causal modelling with examples from immune receptor diagnostics
Abstract Machine learning is increasingly used to discover diagnostic and prognostic
biomarkers from high-dimensional molecular data. However, a variety of factors related to …
biomarkers from high-dimensional molecular data. However, a variety of factors related to …
LIES of omission: complex observation processes in ecology
Advances in statistics mean that it is now possible to tackle increasingly sophisticated
observation processes. The intricacies and ambitious scale of modern data collection …
observation processes. The intricacies and ambitious scale of modern data collection …
Using generative AI to investigate medical imagery models and datasets
Background AI models have shown promise in performing many medical imaging tasks.
However, our ability to explain what signals these models have learned is severely lacking …
However, our ability to explain what signals these models have learned is severely lacking …