DOI: 10.1111/gcb.12218
论文题名: Coastal retreat and improved water quality mitigate losses of seagrass from sea level rise
作者: Saunders M.I. ; Leon J. ; Phinn S.R. ; Callaghan D.P. ; O'Brien K.R. ; Roelfsema C.M. ; Lovelock C.E. ; Lyons M.B. ; Mumby P.J.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2013
卷: 19, 期: 8 起始页码: 2569
结束页码: 2583
语种: 英语
英文关键词: Climate change
; Coastal ecosystems
; Multiple stressors
; Remote sensing
; Sea level rise
; Spatial modelling
; Species distribution
; Wave model
Scopus关键词: abundance
; climate change
; coastal zone
; ecosystem response
; global change
; remote sensing
; sea level change
; seagrass meadow
; sirenian
; spatial distribution
; turtle
; water quality
; wave modeling
; Alismatales
; article
; Australia
; biological model
; climate change
; coastal ecosystems
; ecosystem
; multiple stressors
; physiology
; plant dispersal
; remote sensing
; sea level rise
; sediment
; spatial modelling
; species distribution
; water quality
; wave model
; climate change
; coastal ecosystems
; multiple stressors
; remote sensing
; sea level rise
; spatial modelling
; species distribution
; wave model
; Alismatidae
; Climate Change
; Ecosystem
; Geologic Sediments
; Models, Biological
; Plant Dispersal
; Queensland
; Water Quality
; Australia
; Moreton Bay
; Queensland
; Cheloniidae
; Testudines
英文摘要: The distribution and abundance of seagrass ecosystems could change significantly over the coming century due to sea level rise (SLR). Coastal managers require mechanistic understanding of the processes affecting seagrass response to SLR to maximize their conservation and associated provision of ecosystem services. In Moreton Bay, Queensland, Australia, vast seagrass meadows supporting populations of sea turtles and dugongs are juxtaposed with the multiple stressors associated with a large and rapidly expanding human population. Here, the interactive effects of predicted SLR, changes in water clarity, and land use on future distributions of seagrass in Moreton Bay were quantified. A habitat distribution model of present day seagrass in relation to benthic irradiance and wave height was developed which correctly classified habitats in 83% of cases. Spatial predictions of seagrass and presence derived from the model and bathymetric data were used to initiate a SLR inundation model. Bathymetry was iteratively modified based on SLR and sedimentary accretion in seagrass to simulate potential seagrass habitat at 10 year time steps until 2100. The area of seagrass habitat was predicted to decline by 17% by 2100 under a scenario of SLR of 1.1 m. A scenario including the removal of impervious surfaces, such as roads and houses, from newly inundated regions, demonstrated that managed retreat of the shoreline could potentially reduce the overall decline in seagrass habitat to just 5%. The predicted reduction in area of seagrass habitat could be offset by an improvement in water clarity of 30%. Greater improvements in water clarity would be necessary for larger magnitudes of SLR. Management to improve water quality will provide present and future benefits to seagrasses under climate change and should be a priority for managers seeking to compensate for the effects of global change on these valuable habitats. © 2013 John Wiley & Sons Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62390
Appears in Collections: 影响、适应和脆弱性
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作者单位: Global Change Institute, University of Queensland, St Lucia, QLD, Australia; School of Geography, Planning, and Environmental Management, University of Queensland, St Lucia, QLD, Australia; School of Civil Engineering, University of Queensland, St Lucia, QLD, Australia; School of Chemical Engineering, University of Queensland, St Lucia, QLD, Australia; School of Biological Sciences, University of Queensland, St Lucia, QLD, Australia
Recommended Citation:
Saunders M.I.,Leon J.,Phinn S.R.,et al. Coastal retreat and improved water quality mitigate losses of seagrass from sea level rise[J]. Global Change Biology,2013-01-01,19(8)