ArticleEcology and evolution2021
Comparison of environmental inference approaches for ecometric analyses: Using hypsodonty to estimate precipitation.
Article in Ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- commecometrics: an R package for trait-environment modelling at the community level.Biodiversity data journal · 2025Article
- Ecometrics demonstrates that the functional dental traits of carnivoran communities are filtered by climate.Ecology and evolution · 2024Article
- Disruption of trait-environment relationships in African megafauna occurred in the middle Pleistocene.Nature communications · 2023Article
- Trophically integrated ecometric models as tools for demonstrating spatial and temporal functional changes in mammal communities.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Eco-ISEA3H, a machine learning ready spatial database for ecometric and species distribution modeling.Scientific data · 2023Article
- Comparison of environmental inference approaches for ecometric analyses: Using hypsodonty to estimate precipitation.Ecology and evolution · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ecometrics is the study of community-level functional trait-environment relationships. We use ecometric analyses to estimate paleoenvironment and to investigate community-level functional changes through time.We evaluate four methods that have been used or have the potential to be used in ecometric analyses for estimating paleoenvironment to determine whether there have been systematic differences in paleoenvironmental estimation due to choice of the estimation method. Specifically, we evaluated linear regression, polynomial regression, nearest neighbor, and maximum-likelihood methods to explore the predictive ability of the relationship for a well-known ecometric dataset of mammalian herbivore hypsodonty metrics (molar tooth crown to root height ratio) and annual precipitation. Each method was applied to 43 Pleistocene fossil sites and compared to annual precipitation from global climate models. Sites were categorized as glacial or interglacial, and paleoprecipitation estimates were compared to the appropriate model.Estimation methods produce results that are highly correlated with log precipitation and estimates from the other methods (
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