Preprints
Filtering by Subject: Applied Statistics
Designing causal mediation analyses to quantify intermediary processes in ecology
Published: 2024-05-13
Subjects: Applied Statistics, Longitudinal Data Analysis and Time Series, Other Ecology and Evolutionary Biology, Statistical Methodology
Ecologists seek to understand the intermediary ecological processes through which changes in one attribute in a system affect other attributes. A causal understanding of mediating processes is important for testing theory and developing resource management and conservation strategies. Yet, quantifying the causal effects of these mediating processes in ecological systems is challenging, because it [...]
Large-scale spatio-temporal variation in vital rates and population dynamics of an alpine bird
Published: 2024-02-01
Subjects: Applied Statistics, Ecology and Evolutionary Biology, Population Biology, Statistical Models
Quantifying temporal and spatial variation in animal population size and demography is a central theme in ecological research and important for directing management and policy. However, this requires field sampling at large spatial extents and over long periods of time, which is not only prohibitively costly but often politically untenable. Participatory monitoring programs (also called citizen [...]
A big data and machine learning approach for monitoring the condition of ecosystems
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 [...]
Multimodel approaches are not the best way to understand multifactorial systems
Published: 2023-07-23
Subjects: Applied Statistics, Ecology and Evolutionary Biology
Information-theoretic (IT) and multi-model averaging (MMA) statistical approaches are widely used but suboptimal tools for pursuing a multifactorial approach (also known as the method of multiple working hypotheses) in ecology. (1) Conceptually, IT encourages ecologists to perform tests on sets of artificial models. (2) MMA improves on IT model selection by implementing a simple form of [...]
A process-based framework for quantifying sampling completeness of species interaction networks
Published: 2023-01-19
Subjects: Applied Statistics, Biodiversity, Ecology and Evolutionary Biology, Environmental Monitoring
Species interaction networks underpin ecosystem function and persistence, but their study is hindered by lack of empirical knowledge about interactions. Many interactions occur in nature that have not been observed or recorded. We develop a process-based framework for simulating species interaction accumulation curves that accounts for spatiotemporal variation species interaction networks. We do [...]
Interpolation of temporal biodiversity change, loss, and gain across scales: a machine learning approach
Published: 2022-03-15
Subjects: Applied Statistics, Biodiversity, Ecology and Evolutionary Biology, Life Sciences, Physical Sciences and Mathematics, Statistics and Probability
1. Estimates of temporal change of biodiversity, and its components loss and gain, are needed at local and geographical scales. However, we lack them because of data in-completeness, heterogeneity, and lack of temporal replication. Hence, we need a tool to integrate heterogeneous data and to account for their incompleteness. 2. We introduce spatiotemporal machine learning interpolation that can [...]