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The Influence of River Discharge and Environmental Drivers on Fish Populations and Food Webs in the Suwannee River Estuary.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The Influence of River Discharge and Environmental Drivers on Fish Populations and Food Webs in the Suwannee River Estuary./
作者:	Sinnickson, Dylan.
面頁冊數:	1 online resource (151 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-03, Section: B.
Contained By:	Dissertations Abstracts International84-03B.
標題:	Ecology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29168085click for full text (PQDT)
ISBN:	9798351433127

The Influence of River Discharge and Environmental Drivers on Fish Populations and Food Webs in the Suwannee River Estuary.
Sinnickson, Dylan.

The Influence of River Discharge and Environmental Drivers on Fish Populations and Food Webs in the Suwannee River Estuary. - 1 online resource (151 pages)

Source: Dissertations Abstracts International, Volume: 84-03, Section: B.

Thesis (Ph.D.)--University of Florida, 2022.

Includes bibliographical references

The Suwannee River Estuary is a temperate-subtropical ecosystem located along the Big Bend of Florida's West Coast. It is characterized by a relatively undeveloped coastline and unaltered flow regime, but in recent years, it has experienced a higher frequency of drought conditions, likely resulting from climate and land use changes. Therefore, the impacts of freshwater flow and associated environmental changes on estuarine fish populations were assessed through several different ecological modeling methodologies. A food web model of the Suwannee River Estuary was built, whereby projected changes in riverine discharge were forced upon the system to determine effects on estuarine fish biomass. In these simulations, droughts were found to impact fish communities more significantly than flood conditions. In general, biomass for most functional groups was predicted to increase during floods, resulting from nutrient enrichment and increased primary production. Exceptions to this pattern were exhibited by seatrout (Cynoscion spp.), croakers (Sciaenidae), and Spanish mackerel (Scomberomorus maculatus). These taxa likely responded significantly to food web impacts from increases in the snook (Centropomus undecimalis) population, as snook prey directly upon the former two taxa and compete with all three. In chapter 3, consumer-resource correlations within a simulated, theoretical ecosystem and in an empirically collected dataset were analyzed through empirical dynamic modeling. Trophic interactions at lower trophic levels were more easily detected than linkages higher in the food web. Several examples of bottom-up processes were exemplified in the empirical dataset, including effects of discharge, nutrients, and/or chlorophyll-a concentrations on anchovies (Anchoa spp.), Gulf flounder (Paralichthys albiguttata), and redfish (Sciaenops ocellatus). Lastly, species distribution maps were built utilizing a machine learning methodology by predicting fish species occupancy rates from a series of environmental factors. Predictions were developed for two anomalous flood and drought events from the Suwannee River. This analysis displayed how taxa such as Atlantic stingray (Dasyatis sabina), southern kingfish (Menticirrhus americanus), and blue crabs (Callinectes sapidus) change their local distributions in response to anomalous flow events. Species with a preference for higher salinities generally moved closer to the river mouth during droughts and farther offshore during floods. Other taxa demonstrated a positive association with lower salinities and moved farther offshore during floods but remained within the river mouth during droughts. Not only did the models predict distributions to change for a variety of species, but overall occupancy rates were expected to change as well. I intend on models from all three chapters to inform further research and natural resource management throughout the region.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798351433127Subjects--Topical Terms:

516476
Ecology.
Subjects--Index Terms:

Ecological modelingIndex Terms--Genre/Form:

542853
Electronic books.

The Influence of River Discharge and Environmental Drivers on Fish Populations and Food Webs in the Suwannee River Estuary.
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520 $a The Suwannee River Estuary is a temperate-subtropical ecosystem located along the Big Bend of Florida's West Coast. It is characterized by a relatively undeveloped coastline and unaltered flow regime, but in recent years, it has experienced a higher frequency of drought conditions, likely resulting from climate and land use changes. Therefore, the impacts of freshwater flow and associated environmental changes on estuarine fish populations were assessed through several different ecological modeling methodologies. A food web model of the Suwannee River Estuary was built, whereby projected changes in riverine discharge were forced upon the system to determine effects on estuarine fish biomass. In these simulations, droughts were found to impact fish communities more significantly than flood conditions. In general, biomass for most functional groups was predicted to increase during floods, resulting from nutrient enrichment and increased primary production. Exceptions to this pattern were exhibited by seatrout (Cynoscion spp.), croakers (Sciaenidae), and Spanish mackerel (Scomberomorus maculatus). These taxa likely responded significantly to food web impacts from increases in the snook (Centropomus undecimalis) population, as snook prey directly upon the former two taxa and compete with all three. In chapter 3, consumer-resource correlations within a simulated, theoretical ecosystem and in an empirically collected dataset were analyzed through empirical dynamic modeling. Trophic interactions at lower trophic levels were more easily detected than linkages higher in the food web. Several examples of bottom-up processes were exemplified in the empirical dataset, including effects of discharge, nutrients, and/or chlorophyll-a concentrations on anchovies (Anchoa spp.), Gulf flounder (Paralichthys albiguttata), and redfish (Sciaenops ocellatus). Lastly, species distribution maps were built utilizing a machine learning methodology by predicting fish species occupancy rates from a series of environmental factors. Predictions were developed for two anomalous flood and drought events from the Suwannee River. This analysis displayed how taxa such as Atlantic stingray (Dasyatis sabina), southern kingfish (Menticirrhus americanus), and blue crabs (Callinectes sapidus) change their local distributions in response to anomalous flow events. Species with a preference for higher salinities generally moved closer to the river mouth during droughts and farther offshore during floods. Other taxa demonstrated a positive association with lower salinities and moved farther offshore during floods but remained within the river mouth during droughts. Not only did the models predict distributions to change for a variety of species, but overall occupancy rates were expected to change as well. I intend on models from all three chapters to inform further research and natural resource management throughout the region.
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