EconPapers    
Economics at your fingertips  
 

Wetland-tree growth responses to hydrologic variability derived from development and optimization of a non-linear radial growth model

Scott T. Allen and Richard F. Keim

Ecological Modelling, 2017, vol. 354, issue C, 49-61

Abstract: Growth responses of wetland trees to flooding and climate variations are a critical link in hydrological control of wetland carbon budgets, but they are difficult to model because they depend on multiple interacting and nonlinear factors. To more generally understand hydrological influence on tree growth, we modeled non-linear responses of tree ring growth to flooding and climate at sub-annual time steps using a new model employing Vaganov-Shashkin response functions. The model was developed and calibrated to explain six baldcypress tree-ring chronologies from two hydrologically distinct sites in southern Louisiana. The model outperformed traditional multiple linear regression. More importantly, optimized response parameters were similar among sites with different hydrologic conditions and consistent across time periods, suggesting generality to the response functions. Model forms that included hysteretic growth responses to flooding performed better than those without, indicating that wetland tree responses to present hydrologic conditions vary with previous hydrologic conditions. Optimal parameter values suggested that growth inhibition by flooding was rare and lower water levels were more often limiting.

Keywords: Wetland ecology; Baldcypress; Dendroecology; Law of the minimum (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380016306706
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:354:y:2017:i:c:p:49-61

DOI: 10.1016/j.ecolmodel.2017.03.016

Access Statistics for this article

Ecological Modelling is currently edited by Brian D. Fath

More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:ecomod:v:354:y:2017:i:c:p:49-61