Living at Extremes: A spatio-temporal approach to understand environmental drivers for mangrove ecosystems, and their carbon potential

Sharyn Maree Hickey

doi:10.4225/23/5aa1e50bcfa94

Living at Extremes: A spatio-temporal approach to understand environmental drivers for mangrove ecosystems, and their carbon potential

Sharyn Maree Hickey

UWA School of Agriculture and Environment

Research output: Thesis › Doctoral Thesis

434 Downloads (Pure)

Abstract

This thesis investigated variances in mangrove distribution, extent and condition spatiotemporally in relation to known environmental drivers and the effects of a changing climate. This thesis found; I] mangroves were not responding through poleward biogeographic range shifts to increased global temperatures; II] that changes in sea level resulting from El Nino events is a significant driver of mangrove cover variability; and III] that carbon varies within the forest. The findings of this study may contribute to mangrove management strategies, and climate change mitigation and adaptation research through improved understanding of mangrove environmental trends and spatiotemporal variability.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	Callow, Nik, Supervisor Phinn, Stuart R., Supervisor, External person Duarte Quesada, Carlos Manuel, Supervisor Hansen, Jeff, Supervisor
Thesis sponsors	Australian Government Research Training Program
Award date	19 Feb 2018
DOIs	https://doi.org/10.4225/23/5aa1e50bcfa94
Publication status	Unpublished - Feb 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.4225/23/5aa1e50bcfa94

THESIS - DOCTOR OF PHILOSOPHY - HICKEY Sharyn Maree - 2018
This work is protected by Copyright. You may print or download ONE copy of this document for the purpose of your own non-commercial research or study. Any other use requires permission from the copyright owner. The Copyright Act requires you to attribute any copyright works you quote or paraphrase.

Cite this

@phdthesis{0bb5bfd9095749f48e11e5995f22863a,

title = "Living at Extremes: A spatio-temporal approach to understand environmental drivers for mangrove ecosystems, and their carbon potential",

abstract = "This thesis investigated variances in mangrove distribution, extent and condition spatiotemporally in relation to known environmental drivers and the effects of a changing climate. This thesis found; I] mangroves were not responding through poleward biogeographic range shifts to increased global temperatures; II] that changes in sea level resulting from El Nino events is a significant driver of mangrove cover variability; and III] that carbon varies within the forest. The findings of this study may contribute to mangrove management strategies, and climate change mitigation and adaptation research through improved understanding of mangrove environmental trends and spatiotemporal variability.",

keywords = "Mangroves, remote sensing, Geographic information system (GIS), blue carbon",

author = "Hickey, {Sharyn Maree}",

year = "2018",

month = feb,

doi = "10.4225/23/5aa1e50bcfa94",

language = "English",

school = "The University of Western Australia",

}

TY - BOOK

T1 - Living at Extremes: A spatio-temporal approach to understand environmental drivers for mangrove ecosystems, and their carbon potential

AU - Hickey, Sharyn Maree

PY - 2018/2

Y1 - 2018/2

N2 - This thesis investigated variances in mangrove distribution, extent and condition spatiotemporally in relation to known environmental drivers and the effects of a changing climate. This thesis found; I] mangroves were not responding through poleward biogeographic range shifts to increased global temperatures; II] that changes in sea level resulting from El Nino events is a significant driver of mangrove cover variability; and III] that carbon varies within the forest. The findings of this study may contribute to mangrove management strategies, and climate change mitigation and adaptation research through improved understanding of mangrove environmental trends and spatiotemporal variability.

AB - This thesis investigated variances in mangrove distribution, extent and condition spatiotemporally in relation to known environmental drivers and the effects of a changing climate. This thesis found; I] mangroves were not responding through poleward biogeographic range shifts to increased global temperatures; II] that changes in sea level resulting from El Nino events is a significant driver of mangrove cover variability; and III] that carbon varies within the forest. The findings of this study may contribute to mangrove management strategies, and climate change mitigation and adaptation research through improved understanding of mangrove environmental trends and spatiotemporal variability.

KW - Mangroves

KW - remote sensing

KW - Geographic information system (GIS)

KW - blue carbon

U2 - 10.4225/23/5aa1e50bcfa94

DO - 10.4225/23/5aa1e50bcfa94

M3 - Doctoral Thesis

ER -

Living at Extremes: A spatio-temporal approach to understand environmental drivers for mangrove ecosystems, and their carbon potential

Abstract

UN SDGs

Access to Document

Fingerprint

Cite this