Water resource and ecotone transformation in coastal ecosystems

Joseph Park, Jed Redwine, Troy D. Hill and Kevin Kotun

Ecological Modelling, 2019, vol. 405, issue C, 69-85

Abstract: Mangrove marshes are a significant global ecosystem, finely-tuned to contemporary sea level. As sea level rises the mangrove-to-freshwater ecotone reflects underlying groundwater salinity indicating the transformation of freshwater resources into saltwater unsuitable for consumption or agriculture. Hydrological numerical models can predict this dynamic given sufficient environmental detail, however, detailed data is often lacking. Alternatively, agent-based models can predict landscape vegetation changes and the associated fresh-to-saline water transformation based only on landscape surface features. We apply such a model to the southern tip of the Florida peninsula at the nexus of a metropolis and World Heritage wildlife preserve: the Florida Everglades, to predict ecotone dynamics and aquifer water resources in response to warming climate and rising sea level. The model is based on species-specific behaviors for freshwater grasses and salt-tolerant red mangroves with relevance to global mangrove ecosystems.

Keywords: Freshwater resource; Mangrove ecotone; Sea level rise (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380019301607
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:405:y:2019:i:c:p:69-85

DOI: 10.1016/j.ecolmodel.2019.04.015

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 ().