Global wetland macroinvertebrate assemblage analysis (144 families)

Knowledge graph centered on Global wetland macroinvertebrate assemblage analysis (144 families) with 17 nodes and 39 connections. Top connected: species diversity, climate change effects on species interactions, Perils of life on the edge: Climatic threats to gl, cottonwood, aquatic biota.

Method synopsis

A comprehensive approach combining taxonomic standardization, climatic variable extraction, and statistical modeling to assess global patterns of wetland macroinvertebrate diversity in relation to climate. Uses GAMMs for taxonomic richness and GDMs for beta diversity 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 — Perils of life on the edge: Climatic threats to global diversity patterns of wetland macroinvertebrates (2022), Science of the Total Environment. Implementations in other papers (listed below) may differ.

1. Compile wetland macroinvertebrate data
   Compiled macroinvertebrate data from 769 depressional wetlands distributed across a range of latitudinal, elevational, and climatic gradients across the globe, including all seven continents. Data were obtained from multiple contributors and research groups.
   Quantities: 769 total wetlands: 467 temporary wetlands and 302 permanent wetlands, across 22 regionsDuration: Not specified - compilation of existing datasetsConditions: Wetlands defined as upland-embedded wetlands according to Smith et al. 1995
   Equipment: Not specified for data compilation
2. Extract bioclimatic variables
   Downloaded 19 bioclimatic attributes from the WorldClim Global Climate Data v2.1 (1970-2000 period) at 30 arc-second resolution for each wetland site, representing major temperature and precipitation attributes.
   Quantities: 19 bioclimatic variables extracted for each of 769 sitesDuration: Not specifiedConditions: Using 1970-2000 climate period data
   Equipment: WorldClim Global Climate Data v2.1, R package 'raster'
3. Standardize taxonomic resolution
   Harmonized macroinvertebrate data by setting taxonomic resolution at the family level (or above for some groups), rather than at subfamily, genus, or species levels to enable global comparisons across datasets.

Typical Equipment

• WorldClim Global Climate Data v2.1
• R software
• mgcv package
• R package 'adespatial'
• R package 'betapart'
• gdm package

Output Measurements

• family richness
• beta diversity
• LCBD index
• climate vulnerability

Papers Using This Protocol (1)

Species Studied With This Protocol