Data

Conservation planning accounting for climate warming disturbance

James Cook University
Magris, R
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/28/5667B4CC1F9E4&rft.title=Conservation planning accounting for climate warming disturbance&rft.identifier=10.4225/28/5667B4CC1F9E4&rft.publisher=James Cook University&rft.description=Dataset associated with the paper Conservation Planning for Coral Reefs Accounting for Climate Warming Disturbances”. Data was collected using satellite imagery and includes spatially- and temporally-varying sea-surface temperature (SST) data, integrating both observed (1985–2009) and projected (2010–2099) time-series. For historical analysis, data was acquired on sea-surface temperature (SST) from the National Oceanic and Atmospheric Administration (NOAA) Pathfinder Project (http://pathfinder.nodc.noaa.gov). For analysis of future projections, data was used from the global monthly SST output (2010–2099) by the Parallel Climate Model PCM1, which is a General Circulation Model (GCM) developed by the National Center for Atmospheric Research (NCAR) for the Intergovernmental Panel on Climate Change, Fourth Assessment (IPCC AR4). All Brazilian reefs were used in the study. Data was collected to derive indices of acute (time under reduced ecosystem function following short-term events) and chronic thermal stress (rate of warming), which were combined to delineate thermal-stress regimes. I then evaluated if/how these regimes are contained within Brazilian Marine Protected Areas and identified priority areas where additional protection would reinforce resilience.&rft.creator=Magris, R &rft.date=2015&rft.relation=http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0140828&rft.coverage=-46.215821206522,-16.314077981962 -46.215821206522,1.9175788741863 -28.989258707209,1.9175788741863 -28.989258707209,-16.314077981962 -46.215821206522,-16.314077981962&rft_rights=&rft_rights=CC BY: Attribution 3.0 AU http://creativecommons.org/licenses/by/3.0/au&rft_subject=conservation planning&rft_subject=climate warming&rft_subject=global change&rft_subject=biodiversity conservation&rft_subject=ARC Centre of Excellence for Coral Reef Studies&rft_subject=Conservation and Biodiversity&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft_subject=Climate Change Mitigation Strategies&rft_subject=ENVIRONMENT&rft_subject=CLIMATE AND CLIMATE CHANGE&rft.type=dataset&rft.language=English Access the data

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Dataset associated with the paper "Conservation Planning for Coral Reefs Accounting for Climate Warming Disturbances”. Data was collected using satellite imagery and includes spatially- and temporally-varying sea-surface temperature (SST) data, integrating both observed (1985–2009) and projected (2010–2099) time-series. For historical analysis, data was acquired on sea-surface temperature (SST) from the National Oceanic and Atmospheric Administration (NOAA) Pathfinder Project (http://pathfinder.nodc.noaa.gov). For analysis of future projections, data was used from the global monthly SST output (2010–2099) by the Parallel Climate Model PCM1, which is a General Circulation Model (GCM) developed by the National Center for Atmospheric Research (NCAR) for the Intergovernmental Panel on Climate Change, Fourth Assessment (IPCC AR4). All Brazilian reefs were used in the study. Data was collected to derive indices of acute (time under reduced ecosystem function following short-term events) and chronic thermal stress (rate of warming), which were combined to delineate thermal-stress regimes. I then evaluated if/how these regimes are contained within Brazilian Marine Protected Areas and identified priority areas where additional protection would reinforce resilience.

Created: 2015-10-14

This dataset is part of a larger collection

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-46.21582,-16.31408 -46.21582,1.91758 -28.98926,1.91758 -28.98926,-16.31408 -46.21582,-16.31408

-37.602539956865,-7.1982495538878

Identifiers
  • Local : 34b712ec0c579ef0c76656dca593ecbf
  • Local : https://research.jcu.edu.au/data/published/23706e39c04605ec4e3d93acecb36e8d
  • DOI : 10.4225/28/5667B4CC1F9E4