Evolutionary rescue modeling with environmental stochasticity

Knowledge graph centered on Evolutionary rescue modeling with environmental stochasticity with 34 nodes and 124 connections. Top connected: Rocky Mountain Biological Laboratory, Scarlet Gilia, Slender-tube Skyrocket, Pekania pennanti, Boechera stricta.

Method synopsis

Development of deterministic and stochastic population models incorporating empirical estimates of selection, heritability, and phenotypic plasticity to project population persistence under climate change scenarios.

Synthesized from method descriptions across 1 paper using this protocol.

Procedure as described in the canonical source

Steps below were extracted from the paper that introduces this protocol — Predicting the contribution of single trait evolution to rescuing a plant population from demographic impacts of climate change (2025), Evolution Letters. Implementations in other papers (listed below) may differ.

1. Environmental data collection
   Obtained snowmelt timing data from previous studies and RMBL weather records. Calculated standardized selection differentials for each site-year combination using generalized linear models with binomial distribution. Assessed environmental sensitivity of selection by regressing selection differentials against day of snowmelt.
   Quantities: 12 years of selection data across multiple sitesDuration: 2009-2022 for selection analysis; snowmelt data from 1984-2023Conditions: Field sites varied in snowmelt timing across years
   Equipment: weather monitoring equipment for snowmelt data

Typical Equipment

• R software

Output Measurements

• population size projections
• evolutionary rescue probability

Papers Using This Protocol (1)

Species Studied With This Protocol

Places Where Used