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1. Assessing Impact of Domestic and Non-Native Species on Trait-Environment Relationships Using Hypsodonty and Precipitation Since the Late Pleistocene

   https://doi.org/10.58782/flmnh.ueal3445  

   Short, Rachel A; Sketel, Michael; Martin, Jeff M; Schap, Julia A; McGuire, Jenny L; Lawing, A Michelle (February 2023, Bulletin of the Florida Museum of Natural History)

   Ecosystem function relies in part on aligned relationships between functional traits of animals and the environments in which they live. Studies of trait-environment relationships have largely focused on communities of native species, but domestic and non-native species also play a role in the functioning of modern ecosystems. We use ecometrics, or study of functional trait-environment relationships, to evaluate the impact of domestic and non-native species on community-level trait composition and its relationship with precipitation by comparing four community compositions: modern native, modern native plus domestic, modern native plus non-native, and late Pleistocene (0.126–0.0117 Ma). We integrate large and small herbivorous mammals into a single ecometric model of hypsodonty (i.e., tooth crown height) and annual precipitation (n=8439, r=-0.7, R2=0.4, p<0.001). We hypothesize: 1) ecometric models of modern native communities will differ from those for late Pleistocene communities, 2) inclusion of domestic species will align ecometric relationships with those from the late Pleistocene, 3) inclusion of non-native species will maintain ecometric relationships of modern native communities. We found modern communities of native species have lower hypsodonty values and higher precipitation estimates than late Pleistocene communities. Domestic species shift modern communities toward higher hypsodonty values and lower precipitation estimates like those in the late Pleistocene. Today’s domestics are mostly high-crowned grazing species representative of the fauna lost prior to the Holocene. Non-native species do not shift modern native trait composition or the associated precipitation estimates, illustrating the success of non-native species due to trait alignment with their new environments. Thus, conservation and restoration efforts should consider trait composition of whole communities because it provides unique information to measures of taxonomic composition. 

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2. The utility of body size as a functional trait to link the past and present in a diverse reptile clade

   https://doi.org/10.1073/pnas.2201948119  

   Parker, Abigail K.; Müller, Johannes; Boisserie, Jean-Renaud; Head, Jason J. (February 2023, Proceedings of the National Academy of Sciences)

   Understanding the relationships between functional traits and environment is increasingly important for assessing ecosystem health and forecasting biotic responses to future environmental change. Taxon-free analyses of functional traits (ecometrics) allow for testing the performance of such traits through time, utilizing both the fossil record and paleoenvironmental proxies. Here, we test the role of body size as a functional trait with respect to climate, using turtles as a model system. We examine the influence of mass-specific metabolic rate as a functional factor in the sorting of body size with environmental temperature and investigate the utility of community body size composition as an ecometric correlated to climate variables. We then apply our results to the fossil record of the Plio-Pleistocene Shungura Formation in Ethiopia. Results show that turtle body sizes scale with mass-specific metabolic rate for larger taxa, but not for the majority of species, indicating that metabolism is not a primary driver of size. Body size ecometrics have stronger predictive power at continental than at global scales, but without a single, dominant predictive functional relationship. Application of ecometrics to the Shungura fossil record suggests that turtle paleocommunity ecometrics coarsely track independent paleoclimate estimates at local scales. We hypothesize that both human disruption and biotic interactions limit the ecometric fit of size to climate in this clade. Nonetheless, examination of the consistency of trait–environment relationships through deep and shallow time provides a means for testing anthropogenic influences on ecosystems. 

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3. Small Mammal Exclosure Study (SMES) Vegetation Data from the Chihuahuan Desert Grassland and Shrubland at the Sevilleta National Wildlife Refuge, New Mexico (1995-2009)

   https://doi.org/10.6073/pasta/84841a70dd8cc89b9a5716e3511cc3a4  

   Lightfoot, David; Rudgers, Jennifer A (January 2021, Environmental Data Initiative)

   This is data for vegetation canopy cover measured from each of the SMES study plots. Vegetation canopy cover was measured from each of the 36 one-meter2 quadrats twice each year. Animal consumers have important roles in ecosystems, determining plant species composition and structure, regulating rates of plant production and nutrient, and altering soil structure and chemistry. The purpose of this study is to determine whether or not the activities of small mammals regulate plant community structure, plant species diversity, and spatial vegetation patterns in Chihuahuan Desert shrublands and grasslands. The purpose of this study is to determine whether or not the activities of small mammals regulate plant community structure, plant species diversity, and spatial vegetation patterns in Chihuahuan Desert shrublands and grasslands. What role if any do indigenous small mammal consumers have in maintaining desertified landscapes in the Chihuahuan Desert? Additionally, how do the effects of small mammals interact with changing climate to affect vegetation patterns over time? This study will provide long-term experimental tests of the roles of consumers on ecosystem pattern and process across a latitudinal climate gradient. The following questions or hypotheses will be addressed. 1) Do small mammals influence patterns of plant species composition and diversity, vegetation structure, and spatial patterns of vegetation canopy cover and biomass in Chihuahuan Desert shrublands and grasslands? Are small mammals keystone species that determine plant species composition and physiognomy of Chihuahuan Desert communities? Do small mammals have a significant role in maintaining the existence of shrub islands and spatial heterogeneity of creosotebush shrub communities? 2) Do small mammals affect the taxonomic composition and spatial pattern of vegetation similarly or differently in grassland communities as compared to shrub communities? How do patterns compare between grassland and shrubland sites, and how do these relatively small scale patterns relate to overall landscape vegetation patterns? 3) Do small mammals interact with short-term (annual) and long-term (decades) climate change to affect temporal changes in vegetation spatial patterns and species composition? 4) Do small mammals interact with other herbivore and granivore consumers enough to affect the species composition and abundances of other consumers such as ants and grasshoppers? 

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4. commecometrics: an R package for trait-environment modelling at the community level

   https://doi.org/10.3897/BDJ.13.e168221  

   Hurtado-Materon, María A; Siciliano-Martina, Leila; Short, Rachel A; McGuire, Jenny L; Lawing, A Michelle (October 2025, Biodiversity Data Journal)

   The R packagecommecometricsprovides an accessible, open-access framework for modelling trait–environment relationships using community-level trait data from modern and ancient species. Ecometrics links the trait distributions of communities to their local environmental variables, enabling the reconstruction of past conditions and the prediction of community responses under future climate change. Existing tools for functional trait analysis often lack palaeontological integration or are limited to specific taxa.commecometricsaddresses these gaps by offering a suite of functions to summarise trait distributions, construct ecometric models, visualise trait–environment relationships, assess model robustness and reconstruct environmental conditions. The package is designed for broad applicability across ecological and palaeoecological studies and includes tools for trait-based biodiversity analysis beyond ecometrics. Through a worked example using carnassial tooth relative blade length (RBL) in carnivoran mammals, we demonstrate the package’s capabilities for analysing trait–environment dynamics across space and time. 

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5. Ecometric models of small mammal hypsodonty can estimate paleoprecipitation across eastern Africa

   https://doi.org/10.1016/j.palaeo.2024.112181  

   Schap, Julia A; McGuire, Jenny L; Lawing, A Michelle; Manthi, Fredrick K; Short, Rachel A (June 2024, Palaeogeography, Palaeoclimatology, Palaeoecology)

   Ecometric analyses use the relationships between functional traits and the environment at the community level to quantitatively estimate past climatic and environmental variables at fossil sites. Hypsodonty (tooth crown height) in North American rodent and lagomorph (Glires) communities is correlated with mean annual temperature and annual precipitation. Here, we examine the community hypsodonty of African Glires to test if this relationship translates to a continent with more extreme climates and to quantify paleoprecipitation at important fossil sites. Categorical hypsodonty values were gathered from the literature and museum collections for 94 modern African taxa (88%). We used maximum likelihood to model the ecometric relationship between hypsodonty and annual precipitation. We then produced trait-based estimates of paleoprecipitation for 26 well sampled fossil localities from eastern Africa over the last 5.7 Ma. We confirmed other regional studies by identifying increasing aridity and decreasing annual precipitation (824 mm to 480 mm) in the Late Miocene of Kenya. From the Ethiopian Shungura Formation, we estimated temporal fluctuations in precipitation that correspond with the presence or absence of paleolakes and rivers. Small mammal community hypsodonty illustrates that east African communities have converged towards mesodont means and high standard deviations in response to climate change. 

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