A discrete mathematical extension of conceptual ecological models - Application for the SE Florida shelf
Authored by Franziska Elmer, Bernhard Riegl
Date Published: 2014
DOI: 10.1016/j.ecolind.2014.04.012
Sponsors:
United States National Oceanic and Atmospheric Administration (NOAA)
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Flow charts
Mathematical description
Model Code URLs:
Model code not found
Abstract
Conceptual ecological models (CEM) respond to the need for improved
management of natural resources due to increasing scale and severity of
human impacts. CEMs, like the EBM-DPSER framework, serve as
non-quantitative planning tools identifying stressors and drivers on
natural systems, effects and biological indicators best suited to show
these effects. A disadvantage of CEMs is their non-quantitative nature
restraining users from performing sensitivity and quantitative scenario
analysis. Here we develop a quantitative extension of a EBM-DPSER model
of the SE Florida shelf based on the assumption that the CEM flow
diagrams express as digraphs. It was quantified with transition weights
from literature research and local data, turning the digraph into a
network. The usefulness of the network extension and its underlying
weighted adjacency matrix were verified using monitoring data from the
Florida Keys Reef Tract. The network extension was then used to explore
outcomes of two different management scenarios. Model results suggest
that advanced waste water treatment in SE Florida would increase reef
diversity and framework growth and could reduce macroalgae cover while
increasing coral cover, fish and shellfish abundance and eliminating
phytoplankton blooms. Climate change is projected to have an effect on
sea level rise, acidification and bleaching but probably with a minor
influence on coral cover, reef framework and diversity - which are
already low. Tested scenarios show that the modeled impact of regulation
processes can vary profoundly even if the number of arcs and vertices in
their largest possible out-tree are comparable. Such a tool extends the
power of the conceptual model by adding significant new information and
the ability to quantifiably test of hypotheses. (C) 2014 Elsevier Ltd.
All rights reserved.
Tags
Individual-based model
Landscape connectivity
Climate-change
Great-barrier-reef
Coral-reef communities
Marine ecosystems
Graph-theory
Groundwater discharge
Disposal systems
Surface waters