
Climate envelope modeling for evaluating anticipated effects of
climate change on threatened and endangered species in the Greater
Everglades
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Metadata:
- Identification_Information:
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- Citation:
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- Citation_Information:
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- Originator:
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Stephanie S. Romañach, Laura A. Brandt, Leonard Pearlstine, Donald L. DeAngelis, Ikuko Fujisaki, Frank J. Mazzotti
- Publication_Date: 2010
- Title:
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Climate envelope modeling for evaluating anticipated effects of climate
change on threatened and endangered species in the Greater Everglades
- Geospatial_Data_Presentation_Form: Project
- Online_Linkage:
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<http://sofia.usgs.gov/projects/index.php?project_url=climateenvmodeling>
- Description:
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- Abstract:
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Our proposed project works toward finding solutions to problems related
to long-term conservation planning in the face of the uncertainty
surrounding climate change. We propose to work with resource managers to
develop tools at appropriate spatial and temporal scales to assist with
decision making. This project will result in both predictive ecological
models and methodology for development and use of climate-based
species-habitat relationships that will aid resource managers in
long-term planning for sustainability of species.
To demonstrate the process and utility of our proposed approach, we will
begin by focusing on the 21 threatened and endangered (T&E)
terrestrial vertebrates in South Florida. By virtue of its physical
features and geography, Florida, and in particular, South Florida will
be highly susceptible to climate changes, specifically with regard to
already apparent sea level rise. Although methodology and developed
products will be applicable to other species and regions, our initial
focus is to work with partners in the southeastern region and expand the
list of species of interest in that region.
For each species we will use existing information for these 21 T&E
species (U.S. Fish and Wildlife Service 1999, Cox et al. 1994), augment
it with up-to-date data, and identify critical limiting factors directly
and indirectly influenced by climate change. This information will be
provided in the form of databases, species models (including climate
envelopes), maps, and a desktop application that can be used in
conjunction with projections of climate change, land use, and vegetation
change to examine potential impacts on T&E species and their
habitats.
Recent attention to potential impacts of climate change on habitats and
species has focused on development of methods and tools that not only
address current habitat and landscape conditions for species, but also
help resource managers to look at potential future conditions to aid in
long-term planning. Key elements to our proposed work are identifying
limiting factors for species with respect to their habitats, compiling
and applying population and habitat models, explicitly addressing
uncertainties (assumption-driven research), and developing species
habitat decision support. Data collected will be useful as inputs for
efforts to assess species vulnerability.
- Purpose:
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Specific Relevance to Major Unanswered Questions and Information Needs Identified:
- Our project will contribute greatly toward meeting needs of resource
managers, in line with USGS' Strategic Science Direction, 'The USGS
scientists will meet the pressing needs of the U.S. Department of the
Interior, policymakers, and resource managers for scientifically valid
state-of-the-science information and predictive understanding of climate
change and its effects. Studies of the interactions among climate,
earth surface processes, and ecosystems across space and time will
contribute directly to the strategic goals of the U.S. Climate Change
Science Program.'
- Our products and collaborative process will help with efforts to
develop a national strategy for assisting fish and wildlife in adapting
to climate change. This process will work toward meeting Fish and
Wildlife Service (FWS) goals outlined in their draft climate change
strategy and 5-year action plan. In particular, this information will
assist with the goals and objectives in the draft of Adaptation and
Planning and Delivering Landscape Conservation; we will provide
information that can be used in a landscape conservation approach to
identify key areas that must be conserved to account for climate change
impacts.
- Our project will assist National Park Service (NPS) with their
mandates to manage for ecosystems, not for biographic islands, and to
achieve management objectives through the use of science.
- Time_Period_of_Content:
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- Time_Period_Information:
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- Range_of_Dates/Times:
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- Beginning_Date: 1991
- Ending_Date: unknown
- Currentness_Reference: ground condition
- Status:
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- Progress: In work
- Maintenance_and_Update_Frequency: Unknown
- Spatial_Domain:
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- Bounding_Coordinates:
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- West_Bounding_Coordinate: -81.25
- East_Bounding_Coordinate: -80.375
- North_Bounding_Coordinate: 25.375
- South_Bounding_Coordinate: 24.875
- Keywords:
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- Theme:
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- Theme_Keyword_Thesaurus: None
- Theme_Keyword: model
- Theme_Keyword: threatened species
- Theme_Keyword: endangered species
- Theme_Keyword: climate change
- Theme_Keyword: limiting factors
- Theme_Keyword: habitat
- Theme_Keyword: biology
- Theme_Keyword: ecology
- Theme_Keyword: mapping
- Theme:
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- Theme_Keyword_Thesaurus: ISO 19115 Topic Category
- Theme_Keyword: biota
- Theme_Keyword: environment
- Theme_Keyword: climatology/meterology/atmosphere
- Place:
-
- Place_Keyword_Thesaurus:
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Department of Commerce, 1995, Countries, Dependencies, Areas of Special
Sovereignty, and Their Principal Administrative Divisions, Federal
Information Processing Standard (FIPS) 10-4, Washington, DC, National
Institute of Standards and Technology
- Place_Keyword: United States
- Place_Keyword: US
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- Place_Keyword_Thesaurus:
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U.S. Department of Commerce, 1987, Codes for the identification of the
States, the District of Columbia and the outlying areas of the United
States, and associated areas (Federal Information Processing Standard
5-2): Washington, DC, NIST
- Place_Keyword: Florida
- Place_Keyword: FL
- Place:
-
- Place_Keyword_Thesaurus: None
- Place_Keyword: Greater Everglades
- Place_Keyword: Southern Florida
- Place_Keyword: Southeastern US
- Place_Keyword: Central America
- Place_Keyword: South America
- Place:
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- Place_Keyword_Thesaurus: USGS Geographic Names Information System
- Place_Keyword: Everglades National Park
- Taxonomy:
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- Applicable_Common_Name: Key Largo cotton mouse
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- Taxon_Rank_Value: Peromyscus polionotus
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- Taxon_Rank_Name: Subspecies
- Taxon_Rank_Value: Peromyscus polionotus niveiventris
- Applicable_Common_Name: southeastern beach mouse
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- Taxon_Rank_Name: Species
- Taxon_Rank_Value: Neoseps reynoldsi
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- Taxon_Rank_Value: Drymarchon couperi
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- Taxon_Rank_Name: Subfamily
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- Access_Constraints: none
- Use_Constraints: none
- Point_of_Contact:
-
- Contact_Information:
-
- Contact_Person_Primary:
-
- Contact_Person: Stephanie S. Romanach
- Contact_Organization: U.S. Geological Survey
- Contact_Address:
-
- Address_Type: mailing and physical
- Address: 3205 College Ave.
- City: Davie
- State_or_Province: FL
- Postal_Code: 33314
- Country: USA
- Contact_Voice_Telephone: (754) 264-6060
- Contact_Facsimile_Telephone: (954) 475-4125
- Contact_Electronic_Mail_Address: sromanach@usgs.gov
- Data_Set_Credit: FWS, NPS, University of Florida
- Cross_Reference:
-
- Citation_Information:
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- Originator: Beaumont L. J., A. J. Pitman, M. Poulsen, and L. Hughes
- Publication_Date: 2007
- Title:
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Where will species go? Incorporating new advance in climate modelling into projections of species distributions
- Geospatial_Data_Presentation_Form: Publication
- Series_Information:
-
- Series_Name: Global Change Biology
- Issue_Identification: v. 13, n 7, P. 1368-1385
- Other_Citation_Details: accessed as of 08/25/2011
- Online_Linkage:
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The full article is available via journal subscription or single article
purchase. The abstract may be viewed at the website below.
- Online_Linkage:
-
<http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2486.2007.01357.x/abstract>
- Cross_Reference:
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- Citation_Information:
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- Originator: Breiman, L.
- Publication_Date: 2001
- Title: Random Forests
- Geospatial_Data_Presentation_Form: Publication
- Series_Information:
-
- Series_Name: Machine Learning
- Issue_Identification: v. 45, n. 1, P. 5-32
- Other_Citation_Details: accessed as of 08/25/2011
- Online_Linkage:
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The full article is available via journal subscription or single article
purchase. The abstract may be viewed at the website below.
- Online_Linkage: <http://www.springerlink.com/content/u0p06167n6173512/>
- Cross_Reference:
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- Citation_Information:
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- Originator: Cox, J., Kautz, R., MacLaughlin, M. and Gilbert, T.
- Publication_Date: 1994
- Title:
-
Closing the Gaps in Florida's Wildlife Habitat Conservation System. Office of Environmental Services
- Geospatial_Data_Presentation_Form: Publication
- Publication_Information:
-
- Publication_Place: Tallahassee, FL
- Publisher: Florida Game and Fresh Water Fish Commission
- Other_Citation_Details: accessed as of 08/25/2011
- Online_Linkage:
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<http://research.myfwc.com/publications/publication_info.asp?id=48583>
- Cross_Reference:
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- Citation_Information:
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- Originator:
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Huntley, B. R. E. Green, Y. C. Collingham, J. K. Hill, S. G. Willis, P.
J. Bartlein, W. Cramer, W. J. M. Hagemeijer, and C. J. Thomas
- Publication_Date: 2004
- Title:
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The performance of models relating species geographical distributions to climate is independent of trophic level
- Geospatial_Data_Presentation_Form: Publication
- Series_Information:
-
- Series_Name: Ecology Letters
- Issue_Identification: v. 7, n. 5. P. 417 - 426
- Other_Citation_Details: accessed as of 08/25/2011
- Online_Linkage:
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The full article is available via journal subscription or single article
purchase. The abstract may be viewed at the website below.
- Online_Linkage:
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<http://onlinelibrary.wiley.com/doi/10.1111/j.1461-0248.2004.00598.x/abstract>
- Cross_Reference:
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- Originator: Jiguet F., A. Gadot, R. Julliard, S. Newson, and D. Couvet
- Publication_Date: 2007
- Title:
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Climate envelope, life history traits and the resilience of birds facing global change
- Geospatial_Data_Presentation_Form: Publication
- Series_Information:
-
- Series_Name: Global Change Biology
- Issue_Identification: v. 13, n. 8, P. 1673-1685
- Other_Citation_Details: accessed as of 08/25/2011
- Online_Linkage:
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The full article is available via journal subscription or single article
purchase. The abstract may be viewed at the website below.
- Online_Linkage:
-
<http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2486.2007.01386.x/abstract>
- Cross_Reference:
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- Citation_Information:
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- Originator: Lawler J. J., D. White, R. P. Neilson, and A. R. Blaustein
- Publication_Date: 2006
- Title:
-
Predicting climate-induced range shifts: model differences and model reliability
- Geospatial_Data_Presentation_Form: Publication
- Series_Information:
-
- Series_Name: Global Change Biology
- Issue_Identification: v. 12, n. 8, P. 1568-1584
- Other_Citation_Details: accessed as of 08/25/2011
- Online_Linkage:
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The full article is available via journal subscription or single article
purchase. The abstract may be viewed at the website below.
- Online_Linkage:
-
<http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2486.2006.01191.x/abstract>
- Cross_Reference:
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- Citation_Information:
-
- Originator:
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Thomas, C.D., A. Cameron, R.E. Green, M. Bakkenes, L.J. Beaumont, Y.C.
Collingham, B.F.N. Erasmus, M. Ferreira de Siqueira, A. Grainger, L.
Hannah, L. Hughes, B. Huntley, A.S. van Jaarsveld, G.F. Midgley, L.
Miles, M.A. Ortega-Huerta, A.T. Peterson, O.L. Phillips, S.E. Williams
- Publication_Date: 2004
- Title: Extinction risk from climate change
- Geospatial_Data_Presentation_Form: Publication
- Series_Information:
-
- Series_Name: Nature
- Issue_Identification: v. 427, n. 6970, P. 145-148
- Other_Citation_Details: accessed as of 08/25/2011
- Online_Linkage:
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The full article is available via journal subscription or single article
purchase. The abstract may be viewed at the website below.
- Online_Linkage:
-
<http://www.nature.com/nature/journal/v427/n6970/abs/nature02121.html>
- Cross_Reference:
-
- Citation_Information:
-
- Originator: Thuiller, W., S. Lavorel, M.B. Araujo
- Publication_Date: 2005
- Title:
-
Niche properties and geographical extent as predictors of species sensitivity to climate change
- Geospatial_Data_Presentation_Form: Publication
- Series_Information:
-
- Series_Name: Global Ecology and Biogeography
- Issue_Identification: v. 14, n. 4, P. 347-357
- Other_Citation_Details: accessed as of 08/25/2011
- Online_Linkage:
-
The full article is available via journal subscription or single article
purchase. The abstract may be viewed at the website below.
- Online_Linkage:
-
<http://onlinelibrary.wiley.com/doi/10.1111/j.1466-822X.2005.00162.x/abstract>
- Cross_Reference:
-
- Citation_Information:
-
- Originator: Pearson, R.G. and T.P. Dawson
- Publication_Date: 2003
- Title:
-
Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful?
- Geospatial_Data_Presentation_Form: Publication
- Series_Information:
-
- Series_Name: Global Ecology & Biogeography
- Issue_Identification: v. 12, n. 5, P. 361-371
- Other_Citation_Details: accessed as of 08/25/2011
- Online_Linkage:
-
The full article is available via journal subscription or single article
purchase. The abstract may be viewed at the website below.
- Online_Linkage:
-
<http://onlinelibrary.wiley.com/doi/10.1046/j.1466-822X.2003.00042.x/abstract>
- Cross_Reference:
-
- Citation_Information:
-
- Originator: U.S. Fish and Wildlife Service
- Publication_Date: 1999
- Title: South Florida Multi-Species Recovery Plan
- Geospatial_Data_Presentation_Form: Publication
- Publication_Information:
-
- Publication_Place: Atlanta, GA
- Publisher: USFW
- Other_Citation_Details: accessed as of 08/25/2011
- Online_Linkage: <http://www.fws.gov/verobeach/ListedSpeciesMSRP.html>
- Cross_Reference:
-
- Citation_Information:
-
- Originator: Drake, J.M. & J.M. Bossenbroek
- Publication_Date: Unknown
- Title:
-
Profiling ecosystem vulnerability to invasion by zebra mussels with support vector machines
- Geospatial_Data_Presentation_Form: Publication
- Series_Information:
-
- Series_Name: Theoretical Ecology
- Issue_Identification: v. 2, n. 4, P. 189-198
- Other_Citation_Details: accessed as of 08/25/2011
- Online_Linkage:
-
The full article is available via journal subscription or single article
purchase. The abstract may be viewed at the website below.
- Online_Linkage: <http://www.springerlink.com/content/f4725u316762l013/>
- Data_Quality_Information:
-
- Logical_Consistency_Report:
-
In our effort to develop appropriate models for resource managers'
needs, we will use the best and most up-to-date information and methods
available. For each of the T&E species under consideration, we will
develop bioclimatic models, also called 'climate envelope' models or
'niche' models. These models allow us to relate species' geographic
distributions to climate factors. Determining the niche of a species
allows its potential geographic range to be forecast through projection
of the estimated niche boundary on a spatial domain (Drake &
Bossenbroek 2009).
- Completeness_Report:
-
In year one; however funding is limited. At the end of FY10, we will
submit a database with life history, range, habitat associations, and
vulnerability traits for each species; compiled land cover/habitat
information; and results of a comparison of modeling methods (support
vector machine vs. random forests) for 1 - 3 case study species. We will
submit a progress report of our work for the first half of FY10.
- Lineage:
-
- Process_Step:
-
- Process_Description:
-
This project will compile the most up-to-date information on the 21
T&E, non-marine, vertebrate species in South Florida using existing
literature and databases and workshops of ecological experts (Year 1).
Climate data will be compiled from sources that provide reliable data at
the appropriate resolution (e.g., National Climatic Data Center,
Worldclim database [1 km resolution]). Climate variables used will be
determined by information collected on the species and may include
degree-days, temperature and precipitation averages, extremes, ranges,
and seasonal averages. (Years 1&2).
Land cover/habitat information will be compiled from a variety of
sources and then associations/linkages will be made among classes in the
various layers (i.e., cross-walking; Year 1).
This information will form the basis for developing climate envelope
models, a tool used to examine potential species range shifts under
climate change scenarios. Climate envelope models are used to predict
the distribution of a species in the future if it is to live in the same
range of climatic conditions that it currently inhabits.
We will define climate envelopes over the entire geographic distribution
and project those envelopes based on alternative futures (e.g., IPCC
projection for 2100) for each species (Years 2&3).
Maps for the entire geographic range of each species will be compiled
and overlaid with broad land cover layers to determine presence of
suitable habitat within each grid cell. Climate data will be associated
with species presence and absence at each cell and a nonparametric
regression tree approach, random forest predictors (Breiman 2001), will
be used to correlate climate variables with species presence/absence.
Twenty percent of the presence/absence data will be withheld from the
modeling to use for model validation (Years 2&3).
At the South Florida scale, climate envelopes will be combined with land
cover and habitat models refined in technical workshops and used with
local alternative future conditions being developed by MIT/USGS (Year
3).
Drs. Leonard Pearlstine (NPS), Steve Friedman (NPS), and Laura Brandt
(FWS) will participate in workshops, data gathering, and providing
guidance to this project. Matthew Supernaw (NPS) will work closely with
UF/USGS programmers to implement the models.
- Process_Date: Unknown
- Process_Contact:
-
- Contact_Information:
-
- Contact_Person_Primary:
-
- Contact_Person: Stephanie S. Romanach
- Contact_Organization: U.S. Geological Survey
- Contact_Address:
-
- Address_Type: mailing and physical
- Address: 3205 College Ave.
- City: Davie
- State_or_Province: FL
- Postal_Code: 33314
- Country: USA
- Contact_Voice_Telephone: (754) 264-6060
- Contact_Facsimile_Telephone: (954) 475-4125
- Contact_Electronic_Mail_Address: sromanach@usgs.gov
- Process_Step:
-
- Process_Description:
-
Tasks for FY10:
- Compile map layers of current species' geographic ranges
- Begin compiling database of climate information important for species
geographic range limits (e.g., temperature, precipitation)
- Compile map layers of land cover/habitat for species geographic ranges
- Comparison of potential modeling methods (e.g., support vector
machines, random forests models) using 1 - 3 species as test cases
- Progress (semi-annual) and final (annual) reports
- Process_Date: 2010
- Process_Contact:
-
- Contact_Information:
-
- Contact_Person_Primary:
-
- Contact_Person: Stephanie S. Romanach
- Contact_Organization: U.S. Geological Survey
- Contact_Address:
-
- Address_Type: mailing and physical
- Address: 3205 College Ave.
- City: Davie
- State_or_Province: FL
- Postal_Code: 33314
- Country: USA
- Contact_Voice_Telephone: (754) 264-6060
- Contact_Facsimile_Telephone: (954) 475-4125
- Contact_Electronic_Mail_Address: sromanach@usgs.gov
- Metadata_Reference_Information:
-
- Metadata_Date: 20110819
- Metadata_Contact:
-
- Contact_Information:
-
- Contact_Person_Primary:
-
- Contact_Person: Heather Henkel
- Contact_Organization: U.S. Geological Survey
- Contact_Address:
-
- Address_Type: mailing and physical
- Address: 600 Fourth Street South
- City: St. Petersburg
- State_or_Province: FL
- Postal_Code: 33701
- Country: USA
- Contact_Voice_Telephone: 727 803-8747 ext 3028
- Contact_Facsimile_Telephone: 727 803-2030
- Contact_Electronic_Mail_Address: sofia-metadata@usgs.gov
- Metadata_Standard_Name:
-
FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata
- Metadata_Standard_Version: FGDC-STD-001.1-1999
- Metadata_Access_Constraints: None.
- Metadata_Use_Constraints:
-
This metadata record may have been copied from the SOFIA website and may not be the most recent version. Please check <http://sofia.usgs.gov/metadata> to be sure you have the most recent version.
Generated by mp version 2.9.14 on Tue Oct 25 15:25:13 2011