35 reef units monitoring design - ideal sampling - reference for site selection - representativity...
TRANSCRIPT
35 reef units
Monitoring design- Ideal sampling- Reference for site selection- Representativity of sites
Comparison between exiting regional databases (UNEP-WCMC)and Millennium Products
USF Millenium
UNEP-WCMCN.B: similar improvements could be done for almost all tropical coastal ecosystems.
Oceanic Reefs
y = 0.4052x
R2 = 0.6124
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UNEP-WCMC
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Continental Reefs
y = 0.447x
R2 = 0.0902
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Comparison of reef areas:actual (Landsat derived) vs old db (UNEP-WCMC)(for 100 sites, in km2): Previous overestimation by roughly a factor 2
• Conclusions for reef mapping: – commercial sensors (Quickbird, IKONOS) proved to be adequate at habitat levels if coupled with
substantial field work and supervised approaches (no automatic algorithms). A lot can be done with existing sensors, and mapping products slowly change the way reef science is done (e.g. better sampling protocols)
– But for several configurations of habitats (e.g. gorgonians plains and seagrass areas of Atlantic-Caribbean cross-shelves, e.g. Florida, Bahamas, Cuba, etc…) and for mapping specific communities or organisms (coral) a sensor providing a spatial resolution of 5 m with hyperspectral capacities is necessary.
– Multispectral (and future hyperspectral?) commercial data are useful, if NASA performs routinely Quality Controls (cf. IKONOS initial mis-calibration identified by NASA-Stennis team)
– Solve the problem of Landsat data access for good with USGS. Completely counter-productive, costly, and frustrating in its present state.
– Encourage large and consistent high resolution habitat mapping programs (coral but also seagrass, mangroves, estuaries, other ecosystems…) performed by a core group and encourage production/distribution of high quality geographic products (warrant homogeneity of the products), instead of isolated costly projects with poor coordination (e.g. on-going assessment of tsunami impacts on Asian shorelines appear uncoordinated and opportunistic, without vision)
• Status for high-resolution change detection
– Initialization of global time-series through Landsat systematic acquisitions (…but continuation in LDCM??).
– Selected NASA Data Buy commercial time-series (…but NDB is terminated)
• Conclusions– These actions provided useful case studies for methodological assessment, but the
current situation is a lack of visibility on Long Term plan and data buy for time-series collection (at least yearly basis).
– Global systematic acquisition of time-series at higher frequencies (monthly) is not necessarily required, but recommended for representative and research sites.
– Recommend enhanced capacities for immediate acquisitions in case of events and quick mechanism for small proposal submission to identify a team and process the data
• Status for climatology of land, ocean and atmosphere around reefs and the induced forcing of local water masses
– Unvaluable EOS time-series (SeaWiFS, MODIS, TOPEX, N-SCAT, etc…) but unfortunately seldom used in a reef (coastal or oceanic) context despite the potential.
– Scientists and managers recognize the value of this information, but the systems remain too scary (complexity, jargon, etc…) and unclear (products diversity, e.g. SST products) for most of coral reef scientists. Their funding generally don’t authorize them to devote the necessary resources to become familiar with this.
• Conclusions:Encourage the creation of an application-oriented structure (jointly with NOAA??) to propose user-
friendly systems to consult and download in simple format (geotif, text) high resolution (1 km) climatologies and time-series (daily scale) of EOS products for tropical coastal areas.
Simplicity in terms of access, format etc…will be achieved if the users give the specifications (e.g. Millennium products distribution philosophy “ASAP=as simple as possible”, since we are both producers and users)
Current bias towards coral bleaching monitoring with SST, but many other subjects of interest exist as well (swell and wind regime, sea levels, etc…).
• Status of understanding (modeling) of the biodiversity dynamics (connectivity, hydrodynamic forcing, human uses, etc…) and forecasting
– NASA/IDS on-going project “Environmental Assessments of Coral Reef Ecosystems: Interdisciplinary Research Using EOS Platforms and Numerical Models” in progress.
– The IDS project provides a unique experiment to inject images, maps, products, climatologies and daily EOS oceanic products into the design of large-scale modelling studies aimed at understanding the forcing of reef processes.
– USF and international partners for Belize, Great Barrier Reef and New Caledonia reef systems. Hydrodynamic modeling of reef connectivity, coral bleaching processes and sediment transport respectively.
– Almost no developments of new products, but emphasize is on the use of existing data and products for the validation/calibration of the numerical models. Vast field of applications, but limited numbers of US and international teams working on reefs with modeling capabilities.
– US reefs of Florida, Gulf of Mexico, Hawaii, Pacific Ocean (Wake, Johnston, Palmyra, Jarvis, Howland and Baker islands)) representative of only a fraction of reef systems and environments. International collaboration required to really assess the (bio)diversity of reefs worldwide and make significant contributions
To finish w/ SeaWIFS data or Modis from USF (Honduras plumes)
• Status for Improving conservation practices through science-driven decision processes – Lot of empiricism in management and conservation approaches which include as major applications the
design of MPAs networks and ecoregional analysis.
– Often a NGO’s marketplace, but NGO’s limited resources, lack of expertise, absence of products evaluation, and strong communication power often implied that poor products are created and used for management, even at high-decision levels.
– Specifically, need to improve the use of NASA’s products (e.g. river plumes have been added into new Caribbean ecoregional analysis, but river dispersal were assessed using only one SeaWiFS image for a particular day)
– NASA’s indirect impact on the management community is growing with:• Public high-resolution images archive (unprocessed Landsat, ISS)• Products distribution (Millennium GIS geomorphology products)• Data centers (e.g. SERVIR, …)• High-resolution mapping projects worldwide based on NASA image data sets
– But • still a large gap to fill in management for the correct use of low resolution (1-10 km) oceanic products.• Still poor understanding of the possibilities and limits of the data and products (cf. tsunami impact discussion on
coral-list), • Sometimes space technology is oversold, but most of the time it is under-used.
Source: Philip Kramer, TNC-Caribbean
What is biodiversity assessment, and ecological forecasting?
What needs to be done for science and conservation goals in coral reefs?
What is NASA currently doing for science and conservation of coral reefs ?
How NASA could catalyze on-going and new spatially-explicit science and conservation applications ?
Using NASA capabilities for biodiversity assessment and ecological forecasting in coral reef environments
Region (102-103 km)
Indirect remote sensingIndirect biodiversity assessment
SST climatology
SST anomalies
Wind climatology
Wind anomalies
Insolation climatology
Insolation anomalies…
Environmental and positional characterization in space and timeTurbidity climatology
Turbidity anomalies
DCB, latitude
Region (102-103 km)
Indirect remote sensingIndirect biodiversity assessment
SST climatology
SST anomalies
Regional biodiversity proxies
Wind climatology
Wind anomalies
Insolation climatology
Insolation anomalies…
Regional Data on Diversity
Validation
Management
Environmental and positional characterization in space and time
Soft computing for MPA designSpatial statistical analysis
Training Validation
Definition
Turbidity climatology
Turbidity anomalies
DCB, latitude
Region (102-103 km)
Community (1-103 m)Reef (1-102 km)
Indirect remote sensingIndirect biodiversity assessment
Water quality
Ocean color, atmosphere color
SST climatology
SST anomalies
Regional biodiversity proxies
Wind climatology
Wind anomalies
Insolation climatology
Insolation anomalies…
Regional Data on Diversity
Validation
Management
Passive optical bathymetryActive optical bathymetryActive acoustic bathymetrySensitivity to sensor resolutions
and habitat/community complexity
Environmental and positional characterization in space and time
Specie, community and habitat maps
Radiative transfer modeling
Soft computing for MPA design
Spectral unmixing
Spatial statistical analysis
Training Validation
Definition
Stratification of monitoring
Parameterization
Parameterization
Par
amet
eriz
atio
n
Reef-scale biodiversity proxies: Spatial index of habitat diversity
Reef location maps
Stra
tific
atio
n
Turbidity climatology
Turbidity anomalies
DCB, latitude
Organism (1-102 cm)
Region (102-103 km)
Community (1-103 m)Reef (1-102 km)
Indirect remote sensingIndirect biodiversity assessment
Direct remote sensingIndirect biodiversity assessment
Spectral signatures of benthic organisms
Pigmentation
Water quality
Ocean color, atmosphere color
SST climatology
SST anomalies
Regional biodiversity proxies
Wind climatology
Wind anomalies
Insolation climatology
Insolation anomalies…
Regional Data on Diversity
Validation
Management
Passive optical bathymetryActive optical bathymetryActive acoustic bathymetry
Ground-truthing
Sensitivity to sensor resolutionsand habitat/community complexity
Environmental and positional characterization in space and time
Specie, community and habitat maps
Radiative transfer modeling
Soft computing for MPA design
Validation
Spectral unmixing
Spatial statistical analysis
Training Validation
Definition
Stratification of monitoring
Parameterization
Parameterization
Par
amet
eriz
atio
n
Par
amet
eriz
atio
n
Species inventory
Reef-scale biodiversity proxies: Spatial index of habitat diversity
Reef-scale Data on Diversity
Validation
Stra
tific
atio
n
Reef location maps
Direct remote sensingDirect biodiversity assessment
Stra
tific
atio
n
Turbidity climatology
Turbidity anomalies
DCB, latitude
Acknowledgements
• Julie Robinson (NASA), Damaris Torres-Pulizza, Alan Spraggins, Christine Kranenburg, Chuanmin Hu, Gene C. Feldman, Norman Kuring, Ed Green (WCMC), Marco Noordeloos (WorldFish/Reefbase)
• Grant numbers