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MaxEnt SAR theory
Local Knowledge Graph (40 entities)
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Knowledge graph centered on MaxEnt SAR theory with 40 nodes and 100 connections. Top connected: Biodiversity scales from plots to biomes with a un, species diversity, space use, quadrat sampling method, climate change experiments.
Description
Application of METE mathematical framework to predict species-area relationships and species-abundance distributions based on community state variables and entropy maximization principles.
Typical Equipment
- Python programming environment
- mathematical computation software
- Python with statistical libraries
Output Measurements
- predicted SAR slopes
- predicted species-abundance distributions
Papers Using This Protocol (10)
article
An equation of state unifies diversity, productivity, abundance and biomass
article
Shifting macroecological patterns and static theory failure in a stressed alpine plant community
article
Inferring Regional-Scale Species Diversity from Small-Plot Censuses
article
Integrating macroecological metrics and community taxonomic structure
article
Integrating macroecological metrics and community taxonomic structure
article
Taxon Categories and the Universal Species-Area Relationship
student_paper
Testing the maximum entropy theory of ecology in the warming meadow
student_paper
Testing the predictions of the Maximum Information Entropy Theory for abundance and energy distributions on the Gothic earthflow
article
Biodiversity scales from plots to biomes with a universal species-area curve
student_paper