Using Long-Term Data to Optimize Recovery of Understory Plant Communities: Identifying the Management Contexts and Species Traits that Maximize the Likelihood of Sustained Persistence and Spread of Plant Populations

Abstract

This project evaluated the combined long-term impacts of management, site characteristics, climate, and species traits on the on the long-term, local and outward recovery of understory plant communities in longleaf pine savannas through three complementary technical objectives. First, we evaluated if short-term recovery led to long-term recovery, as defined by species initial establishment and ongoing persistence. Second, we evaluated whether the understory species that established locally, spread outwardly. Third we identified whether trait characteristics were related to species establishment, persistence, and spread.

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Document Details

Document Type
Technical Report
Publication Date
Apr 17, 2020
Accession Number
AD1135442

Entities

People

  • Ellen I. Damschen
  • Jennyffer Cruz
  • John L. Orrock
  • Lars A. Brudvig

Organizations

  • Michigan State University
  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Agriculture
  • Animals
  • Bayesian Networks
  • Birds
  • Climate Change
  • Computational Science
  • Data Science
  • Databases
  • Department Of Defense
  • Ecology
  • Factor Analysis
  • Fires
  • Forests
  • Habitats
  • Information Science
  • Machine Learning
  • Measurement
  • Monte Carlo Method
  • Plants
  • Probability
  • Sampling
  • Soil Science
  • Surveys
  • United States

Fields of Study

  • Environmental science

Readers

  • Systems Analysis and Design
  • Wetland-Land-Environmental Management.