Census data comparative analysis

Knowledge graph centered on Census data comparative analysis with 16 nodes and 44 connections. Top connected: vascular plants, species evenness, Integrating macroecological metrics and community , species-area relationship, Maximum Information Entropy theory.

Method synopsis

Comparison of theoretical predictions against empirical species richness distributions from multiple census datasets across taxonomic groups. Tests agreement between predicted and observed ecological patterns.

Synthesized from method descriptions across 1 paper using this protocol.

Procedure from a recent peer-reviewed implementation

Steps below were extracted from the most recent peer-reviewed implementation of this protocol in the corpus — Integrating macroecological metrics and community taxonomic structure (2015), Ecology Letters. Implementations in other papers (listed below) may differ.

1. Test species richness distribution predictions
   Compared predicted exponential distribution of species richness over genera against observed data from 30 census datasets. For each dataset, calculated number of genera with exactly m species and compared against theoretical prediction. Examined three data categories: m=1 (singleton species), m<10 (species-poor genera), and maximum m values.
   Quantities: 30 census data sets spanning arthropods, birds, plants and microorganisms. Three prediction categories per dataset.Duration: Not specified - data analysis phaseConditions: Datasets chosen to represent wide variety of organism types and habitats
   Equipment: Census data from published sources, Statistical comparison methods

Typical Equipment

• Census data from published sources
• Statistical comparison methods

Output Measurements

• species richness per genus
• prediction accuracy
• model fit statistics

Papers Using This Protocol (1)

Species Studied With This Protocol

Places Where Used