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A Simple Planting Technique for Re-establishing Trees Where Frequent Inundation Occurs

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Predicting performance for ecological restoration: a case study using Spartina alterniflora.

Steven E Travis¹, James B Grace

¹U.S. Geological Survey, National Wetlands Research Center, 700 Cajundome Boulevard, Lafayette, Louisiana 70506, USA. stravis@une.edu

Ecological Applications : a Publication of the Ecological Society of America

|March 31, 2010

Summary

This summary is machine-generated.

Ecological restoration success depends on donor plant performance. Genetic and latitudinal distances significantly predict Spartina alterniflora performance, guiding future restoration site selection.

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Area of Science:

Ecology
Genetics
Restoration Ecology

Background:

Ecological restoration success hinges on donor material performance.
Predicting performance requires understanding gene flow and selection.
Neutral markers and latitudinal effects can serve as performance surrogates.

Purpose of the Study:

To model and predict ecological restoration performance in Spartina alterniflora.
To assess the direct and indirect influences of geographic and genetic distances on performance.
To identify key factors for successful restoration site selection.

Main Methods:

Structural equation modeling was used to analyze performance data.
Source materials from 23 populations were transplanted to a common garden.
Genetic distances were calculated using neutral molecular markers.
Geographic distances included dispersal distance (over water) and latitude.

Main Results:

Genetic distance and latitude directly influenced performance variation.
Performance was twice as sensitive to genetic distance as to latitude.
Dispersal distance indirectly affected performance via genetic distance (isolation by distance).
Latitude showed an indirect effect on genetic distance.
Clone diameter, stem number, and inflorescence number were key performance indicators.

Conclusions:

Dispersal distance and latitude are adequate predictors for Spartina alterniflora restoration.
A maximum sampling distance of 300 km is proposed to avoid inappropriate ecotypes.
Understanding genetic and geographic factors is crucial for effective ecological restoration.