Describing the spatial–temporal dynamics of groundwater-dependent vegetation (GDV): A theoretical methodology
Xiaoguang You and
Jingling Liu
Ecological Modelling, 2018, vol. 383, issue C, 127-137
Abstract:
The composition, abundance and age structure of groundwater-dependent vegetation (GDV) are tightly coupled with groundwater level variation. Modeling the space–time dynamics of GDV is valuable for ecosystem conservation and recovery. But there are few modeling frameworks on GDV space–time dynamics. In this study, we propose a stochastic process-based theoretical framework, and develop a Species-specific Theoretical Evolution Model (STEM) to analyze and simulate GDV dynamics.
Keywords: Vegetation dynamics; Theoretical model; Groundwater fluctuations; Probability distribution; Life span (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380018301704
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:383:y:2018:i:c:p:127-137
DOI: 10.1016/j.ecolmodel.2018.05.010
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 ().