Preprints

Filtering by Subject: Statistical Models

Large-scale spatiotemporal variation in vital rates and population dynamics of an alpine bird

Chloé R. Nater, James A. Martin, Erlend Birkeland Nilsen

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

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 [...]

Patterns and drivers of population trends on individual Breeding Bird Survey routes using spatially explicit models and route-level covariates

Adam C Smith, Veronica Aponte, Marie-Anne R. Hudson, et al.

Published: 2023-10-27
Subjects: Biodiversity, Biostatistics, Ecology and Evolutionary Biology, Environmental Monitoring, Population Biology, Statistical Methodology, Statistical Models

Spatial patterns in population trends, particularly those at finer geographic scales, can help us better understand the factors driving population change in North American birds. The standard trend models for the North American Breeding Bird Survey (BBS) were designed to estimate trends within broad geographic strata, such as countries, Bird Conservation Regions, U.S. states, and Canadian [...]

Towards causal relationships for modelling species distribution

Daniele Da Re, Enrico Tordoni, Jonathan Lenoir, et al.

Published: 2023-10-15
Subjects: Biodiversity, Bioinformatics, Life Sciences, Natural Resources and Conservation, Statistical Models

1. Understanding the processes underlying the distribution of species through space and time is fundamental in several research fields spanning from ecology to spatial epidemiology. Correlative species distribution models (SDMs) involve popular statistical tools to infer species geographical distribution thanks to spatiotemporally explicit observations of species occurrences coupled with a set of [...]

Improving ecological connectivity assessments with transfer learning and function approximation

Michael D Catchen, Michelle Lin, Timothée Poisot, et al.

Published: 2023-05-04
Subjects: Artificial Intelligence and Robotics, Biodiversity, Environmental Monitoring, Numerical Analysis and Computation, Other Ecology and Evolutionary Biology, Statistical Models, Sustainability

This is a conference paper presented at the ICLR 2023 "Machine Learning for Remote Sensing" workshop. Protecting and restoring ecological connectivity is essential to climate change adaptation, and necessary if species are to shift their geographic distributions to track their suitable climatic conditions over the coming century. Despite the increasing availability of near real-time and high [...]

Forecasting rodent population dynamics and community transitions with dynamic nonlinear models

Nicholas Joshua Clark, SKM Ernest, Henry Senyondo, et al.

Published: 2023-03-13
Subjects: Desert Ecology, Ecology and Evolutionary Biology, Life Sciences, Multivariate Analysis, Population Biology, Statistical Methodology, Statistical Models, Statistics and Probability

Ecological communities are dynamic. These dynamics are influenced by many sources of variation, making it difficult to understand or predict future change. Biotic interactions, and other sources of multi-species dependence, are major contributors. But ecological prediction overwhelmingly focuses on models that treat individual species in isolation. Here, we model the relative importance of [...]

A probabilistic approach to estimating timber harvest location

Jakub Michal Truszkowski, Roi Maor, Raquib Bin Yousuf, et al.

Published: 2023-02-22
Subjects: Biodiversity, Biostatistics, Forest Management, Other Forestry and Forest Sciences, Statistical Methodology, Statistical Models

Determining the harvest location of timber is crucial to enforcing international regulations designed to protect natural resources and to tackle illegal logging and associated trade in forest products. Stable Isotope Ratio Analysis (SIRA) can be used to verify claims of timber harvest location by matching levels of naturally-occurring stable isotopes within wood tissue to location-specific ratios [...]

The impact of rising temperatures on the prevalence of coral diseases and its predictability: a global meta-analysis

Samantha Burke, Patrice Pottier, Malgorzata Lagisz, et al.

Published: 2023-01-24
Subjects: Ecology and Evolutionary Biology, Immunology and Infectious Disease, Life Sciences, Marine Biology, Other Ecology and Evolutionary Biology, Statistical Models

Coral reefs are under threat from disease as climate change alters environmental conditions. Rising temperatures exacerbate coral disease, but this relationship is likely complex as other factors also influence coral disease prevalence. To better understand this relationship, we meta-analytically examined 108 studies for changes in global coral disease over time alongside temperature, expressed [...]

Decline effects are rare in ecology: Comment

Yefeng Yang, Malgorzata Lagisz, Shinichi Nakagawa

Published: 2022-06-06
Subjects: Ecology and Evolutionary Biology, Life Sciences, Physical Sciences and Mathematics, Statistical Methodology, Statistical Models, Statistics and Probability

Recently, Costello and Fox (2022) tested, with a large dataset, the hypothesis of whether there is a widespread decline effect in the discipline of ecology. In other words, the magnitude of the reported ecological effect sizes declines over time (Leimu and Koricheva 2004). Contrary to early results from much smaller datasets (Jennions and Møller 2002, Barto and Rillig 2012), Costello and Fox [...]

Multi-population analysis reveals spatial consistency in drivers of population dynamics of a declining migratory bird

Chloé Rebecca Nater, Malcolm D. Burgess, Peter Coffey, et al.

Published: 2022-04-21
Subjects: Biodiversity, Biology, Biostatistics, Ecology and Evolutionary Biology, Life Sciences, Longitudinal Data Analysis and Time Series, Physical Sciences and Mathematics, Population Biology, Research Methods in Life Sciences, Statistical Methodology, Statistical Models, Statistics and Probability, Survival Analysis, Terrestrial and Aquatic Ecology

Many migratory species are in decline across their geographical ranges. Single-population studies can provide important insights into drivers at a local scale, but effective conservation requires multi-population perspectives. This is challenging because relevant data are often hard to consolidate, and state-of-the-art analytical tools are typically tailored to specific datasets. We capitalized [...]

Phylogenetic multilevel meta-analysis: A simulation study on the importance of modeling the phylogeny

Ozan Cinar, Shinichi Nakagawa, Wolfgang Viechtbauer

Published: 2020-11-23
Subjects: Ecology and Evolutionary Biology, Life Sciences, Physical Sciences and Mathematics, Statistical Models, Statistics and Probability

1. Meta-analyses in ecology and evolution require special attention due to certain study characteristics in these fields. First, the primary articles in these fields usually report results that are observed from studies conducted with different species, and the phylogeny among the species violates the independence assumption. Second, articles frequently allow the computation of multiple effect [...]

  • 1 
search

You can search by:

  • Title
  • Keywords
  • Author Name
  • Author Affiliation