Mantel test (Plantae)

Knowledge graph centered on Mantel test (Plantae) with 76 nodes and 134 connections. Top connected: Plot-scale evidence of tundra vegetation change an, Which is a better predictor of plant traits: tempe, Functional trait space and the latitudinal diversi, Delphinium, Spruce.

Method synopsis

Meta-analytical approach to synthesize population-level climate sensitivities across multiple species using structured population models and standardized effect sizes. Incorporates life history traits and density dependence effects to understand patterns of climate vulnerability.

Synthesized from method descriptions across 12 papers 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 — Comparative life-cycle analyses reveal interacting climatic and biotic drivers of population responses to climate change (2025), PNAS Nexus. The protocol was originally introduced by Plot-scale evidence of tundra vegetation change and links to recent summer warming (2012), Nature Climate Change. Implementations in other papers (listed below) may differ.

1. Conduct targeted literature review
   Performed targeted review to collect code and data from studies modeling vital rates as a function of at least two climatic variables or one climatic and one biotic variable in structured population models. Focused on studies where data were obtained in natural, unmanipulated populations, excluding experimental studies, and where environmental variables were continuous to calculate means and SEs.
   Quantities: Extracted data from 23 studies covering 41 species totalDuration: Not specifiedConditions: Studies had to include reproducible generalizable stochastic patterns of population responses to environmental drivers
   Equipment: Literature databases, Web of Science search, Padrino database
2. Extract population model coefficients
   Extracted regression coefficients from tables or contacted authors to rebuild vital-rate models when possible. Reconstructed population models from vital rates when original papers provided correct models. In some cases, provided R code to rebuild population models.
   Quantities: 18 matrix population models, 8 integral projection models, 5 integrated population models, and individual-based modelsDuration: Not specifiedConditions: Required fully reported models with formula, coefficients, and SEs available
   R statistical software

Typical Equipment

• Literature databases
• Web of Science search
• Padrino database
• R statistical software
• Custom calculation scripts
• Population projection models
• GLMM packages

Output Measurements

• scaled population sensitivities
• climate driver effects
• density dependence interactions

Papers Using This Protocol (12)

Species Studied With This Protocol

Places Where Used