3 results match your criteria: "Michigan State University Department of Integrative Biology[Affiliation]"

Article Synopsis
  • * A machine learning model was developed to predict low-flow total phosphorus (TP) concentrations in Michigan's rivers, identifying key factors influencing nutrient variation.
  • * The model showed that riparian agricultural cover significantly affects TP levels, with predictions indicating spatial variability in nutrient concentrations across different regions of Michigan.
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Global Commitments to Conserving and Monitoring Genetic Diversity Are Now Necessary and Feasible.

Bioscience

September 2021

Forest Ecology and Biogeochemical Fluxes Unit, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all' Adige, Italy.

Global conservation policy and action have largely neglected protecting and monitoring genetic diversity-one of the three main pillars of biodiversity. Genetic diversity (diversity within species) underlies species' adaptation and survival, ecosystem resilience, and societal innovation. The low priority given to genetic diversity has largely been due to knowledge gaps in key areas, including the importance of genetic diversity and the trends in genetic diversity change; the perceived high expense and low availability and the scattered nature of genetic data; and complicated concepts and information that are inaccessible to policymakers.

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The nature and intensity of intraspecific competition can vary greatly among taxa, yet similarities in these interactions can lead to similar population dynamics among related organisms. Variation along the spectrum of intraspecific competition, with contest and scramble competition as endpoints, leads to vastly different responses to population density. Here we investigated the diversity of intraspecific competition among fish species, predicting that functional forms of density-dependent reproduction would be conserved in related taxa.

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