Multivariate Analysis of the Community Composition of Tidal Freshwater Forests on the Altamaha River, Georgia

Author:

Costomiris Galen1,Hladik Christine M.2ORCID,Craft Christopher3

Affiliation:

1. School of Geosciences, University of Edinburgh, Edinburgh EH9 3FF, UK

2. School of Earth, Environment, and Sustainability Geosciences Program, Georgia Southern University, Statesboro, GA 30460, USA

3. O’Neill School of Public and Environmental Affairs, Indiana University, Bloomington, IN 47405, USA

Abstract

Situated in the transitional zone between non-tidal forests upstream and tidal freshwater marshes downstream, tidal freshwater forests (TFF) occupy a unique and increasingly precarious habitat due to the threat of saltwater intrusion and sea level rise. Salinization causes tree mortality and forest-to-marsh transition, which reduces biodiversity and carbon sequestration. The Altamaha River is the longest undammed river on the United States East Coast and has extensive TFF, but there have been only limited field studies examining TFF along the entire gradient of salinity and flooding. We surveyed thirty-eight forest plots on the Altamaha River along a gradient of tidal influence, and measured tree species composition, diameter, and height. Hierarchical clustering and indicator species analysis were used to identify TFF communities. The relationship of these communities to elevation and river distance was assessed using non-metric multidimensional scaling (NMDS). We identified six significantly different forest communities: Oak/Hornbeam, Water Tupelo, Bald Cypress/Tupelo, Pine, Swamp Tupelo, and Bald Cypress. Both elevation and river distance were significantly correlated with plot species composition (p = 0.001). Plots at the downstream extent of our study area had lower stem density, basal area, and species diversity than those further upstream, suggesting saltwater intrusion. This study demonstrates the importance of and need for thorough and robust analyses of tidal freshwater forest composition to improve prediction of TFF response to sea level rise.

Funder

National Science Foundation

Publisher

MDPI AG

Subject

Forestry

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