multiple linear regression

Knowledge graph centered on multiple linear regression with 68 nodes and 137 connections. Top connected: Artemisia, Artemisia tridentata, Rocky Mountain Biological Laboratory, groundwater storage dynamics, leaf water content.

Method synopsis

Regression analysis applied to simulated water table declines across nested catchments to identify relationships between topographic characteristics, vegetation cover, and groundwater response to climate warming.

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 — Declining groundwater storage expected to amplify mountain streamflow reductions in a warmer world (2024), Nature Water. Implementations in other papers (listed below) may differ.

1. Analyze streamflow and groundwater response
   Conducted multiple linear regression analysis on simulated average water table declines in ten nested East River catchments. Assessed groundwater storage changes using 4-year climate lag analysis. Compared warming-only scenarios with combined warming plus groundwater storage decline scenarios.
   Quantities: 10 nested catchments analyzed, 4-year climate lag period for groundwater analysisDuration: Analysis covered full 36-year simulation periodConditions: Focused on East River watershed with expansion to Upper Colorado River basin
   Equipment: statistical analysis software, multiple linear regression models

Typical Equipment

• statistical analysis software
• multiple linear regression models

Output Measurements

• water table decline predictions
• catchment vulnerability assessment
• topographic controls on groundwater

Papers Using This Protocol (1)

Species Studied With This Protocol

Places Where Used