40300
Golfo de Fonseca ESI; Honduras and Nicaragua: T_MAMMAL (Terrestrial Mammals)
Fonseca_t_mammal
Data Set
Published / External
46672
Gulf of Fonseca, 2000
Project
Completed
2001-02
This data set comprises the Environmental Sensitivity Index (ESI) data for Golfo de Fonseca. ESI data characterize estuarine environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. This data set contains sensitive biological resource data for terrestrial mammals.
The ESI data were collected, mapped, and digitized to provide environmental data for oil spill planning and response and for coastal zone planning and management.
1765
Prepared by Research Planning, Inc., Columbia, South Carolina for the United States Department of Commerce; National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, Office of Response and Restoration, Hazardous Materials Response Division; USAID, The U.S. Agency for International Development; PROARCA/Costas, Programa Ambiental Regional para Centro America; SERNA, Secretaria Nacional de Recursos Naturales de Honduras; and MARENA, Ministerio del Ambiente y Recursos Naturales de Nicaragua.
Resource Description - ESI Atlas for Golfo de Fonseca, Honduras and Nicaragua
Theme
ISO 19115 Topic Category
environment
Theme
ISO 19115 Topic Category
oceans
Theme
NOS Topic Category
Environmental Monitoring
Theme
Bat
Theme
Canine
Theme
Coastal resources
Theme
Coastal zone management
Theme
ESI
Theme
Feline
Theme
Oil spill planning
Theme
Sensitivity maps
Theme
Terrestrial mammal
Spatial
Golfo de Fonseca
Spatial
Gulf of Fonseca
Spatial
Honduras
Spatial
Nicaragua
Spatial
Pacific coast of Honduras
Spatial
Pacific coast of Nicaragua
Office of Response and Restoration
Silver Spring
MD
Data Set
None Planned
atlas
Although these data have been processed successfully on a computer system at the National Oceanic and Atmospheric Administration, no warranty, expressed or implied, is made by NOAA regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty. NOAA warrants the delivery of this product in computer-readable format, and will offer a replacement copy of the product when the product is determined unreadable by computer-input peripherals, or when the physical medium is delivered in damaged condition.
This project was supported by the United States Department of Commerce; National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, Office of Response and Restoration, Hazardous Materials Response Division; USAID, The U.S. Agency for International Development; PROARCA/Costas, Programa Ambiental Regional para Centro America; SERNA, Secretaria Nacional de Recursos Naturales de Honduras; and MARENA, Ministerio del Ambiente y Recursos Naturales de Nicaragua.
42790
GT-polygon
GT-polygon
Published / External
Completed
Terrestrial mammals depicted in this atlas are sub-divided into three groups, bats, small mammals, and large mammals. Distribution of these mammals was mapped mainly using expert knowledge. In general, local experts agree that the abundance of the larger mammals in this area has decreased significantly due to loss of habitats and over-harvest. Many of the larger mammals are now primarily restricted to the few forested natural areas that still exist. For some of the large mammals presented on these maps (notably felines and canines) it is accepted that they are not particularly abundant, but local experts and resource managers wanted to include them due to concern regarding their conservation. | Description Source: Research Planning, Inc.
Converted from FGDC using 'fgdc_to_inport_xml_entity.pl' script.
1
ID
NUMBER
No
No
Active
A unique identifier that links to the BIO_LUT table. ID is a concatenation of atlas number (104), element number (9), and record number. ID values of 9999 are holes in polygons and do not contain information. The following T_MAMMAL species are found in the Golfo de Fonseca ESI data set (SPECIES ID, GEN_SPEC): 10, Noctilio leporinus; 13, Panthera onca; 14, Tayassu tajacu; 15, Didelphis marsupialis; 16, Sylvilagus floridanus; 17, Mephitis macroura; 18, Saccopteryx leptura; 19, Balantiopteryx plicata; 20, Sciurus variegatoides; 21, Sciurus deppei; 22, Bradypus variegatus; 23, Desmodus rotundus; 31, Odocoileus virginianus; 40, Mustela frenata; 44, Procyon lotor; 63, Canis latrans; 64, Urocyon cinereoargenteus; 65, Puma concolor; 66, Leopardus pardalis; 108, Herpailurus yaguarondi; 110, Ateles geoffroyi; 111, Dasypus novemcinctus; 112, Nasua narica; 113, Tamandua mexicana; 114, Agouti paca; 116, Dasyprocta punctata; 137, Uroderma bilobatum; 138, Artibeus jamaicensis. | Description Source: NOAA
Ordered
1040900002 - 1040900373
2
RARNUM
NUMBER
No
No
Active
An identifier that links directly to the BIORES table or the flat format BIOFILE table. | Description Source: NOAA
204 - 214
Data Steward
2001-02
Position
ESI Program Manager
orr.esi@noaa.gov
7600 Sand Point Way NE
Seattle
WA
98115
Distributor
2001-02
Position
ESI Program Manager
orr.esi@noaa.gov
7600 Sand Point Way NE
Seattle
WA
98115
Metadata Contact
2001-02
Position
ESI Program Manager
orr.esi@noaa.gov
7600 Sand Point Way NE
Seattle
WA
98115
Point of Contact
2001-02
Position
ESI Program Manager
orr.esi@noaa.gov
7600 Sand Point Way NE
Seattle
WA
98115
Project time span
-87.875
-87
13.5
12.75
Range
2000-01
2001-02
Yes
Yes
371
Yes
849593
Yes
371
Yes
2277
Unclassified
Contact NOAA for distribution options (see Distribution_Information).;
None
DO NOT USE MAPS FOR NAVIGATIONAL PURPOSES. Besides the above warning, there are no use constraints on these data. Acknowledgment of the publishers and contributing sources listed in Data_Set_Credit (below) would be appreciated in products derived from these data.
http://response.restoration.noaa.gov/esi
Online Resource
2001-02
Date that the source FGDC record was last modified.
2017-04-05
Converted from Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.
2017-09-13
Partial upload of Spatial Info section only.
2017-11-01
Replaced entire Lineage section to populate new Source Contribution field.
2018-02-08
Partial upload of Positional Accuracy fields only.
The software packages used to develop the atlas are Environmental Systems Research Institute's ARC/INFO(r) (version 8.0.2) and ORACLE(r) RDBMS (version 8.0.5.0.0). The hardware configuration is Hewlett Packard workstations (models 715/50 and 712/80i with 4 X-terminals) with UNIX operating system (HP-UX Release A.10.20). The following files are included in the data set: bio_lut.e00, biofile.e00, biores.e00, birds.e00, esi.e00, fish.e00, hydro.e00, index.e00, invert.e00, mgt.e00, m_mammal.e00, reptiles.e00, saltpond.e00, soc_dat.e00, soc_lut.e00, socecon.e00, sources.e00, species.e00, status.e00, t_mammal.e00.
The attribute accuracy is estimated to be "good" given the years of ESI experience, the data-input methodology, the quality control review sessions, and the digital logical consistency checks.
The biological data sets are developed primarily using regional experts who estimate concentration areas. Unlike shorelines, which maintain relative spatial stability through time, the biological data by nature vary in distribution across the landscape. Therefore, the 1:50,000 topographic quadrangles are used as a basemap in gathering the data but the data have "fuzzy" boundaries which must be understood when utilizing this information.
Biological information presented in this atlas was collected and compiled with the assistance of biologists from the SERNA (Secretaria Nacional de Recursos Naturales de Honduras) in Honduras and MARENA (Ministerio del Ambiente y Recursos Naturales de Nicaragua) in Nicaragua, and various other agencies, organizations, and groups. Information collected and depicted on the maps denotes the key biological resources that are most likely at risk in the event of an oil spill. Six major categories, or ELEMENTs, of biological resources were considered during data compilation: birds, fish, invertebrates, marine mammals, terrestrial mammals, and reptiles/amphibians. The ELEMENTs generally correspond to the coverage or geographic data layer names. There are also six attribute or data tables, BIORES, LOCALHON, LOCALNIC, SOURCES, SPECIES, and STATUS, that are used to store the complex biological data. The biological polygons (T_MAMMAL) are linked to the Biological Resources table (BIORES) using the unique ID and the lookup table BIO_LUT, or they can be linked directly using RARNUM. [The ID is a unique combination of the atlas number (for Golfo de Fonseca this is 104), an element specific number (birds are layer 1, fish are layer 2, etc.) and a unique record number. The RARNUM represents a unique combination of species, seasonalities, concentrations, and source information. For each of these groupings, a number is generated.] The items in BIORES include: RARNUM, SPECIES_ID, CONC, SEASON_ID, G_SOURCE, S_SOURCE, ELEMENT, EL_SPE, and EL_SPE_SEA. SPECIES_ID is the numeric identifier of each species and is unique within each ELEMENT. CONC is the concentration of the species and can be descriptive (BAJO = low, MEDIO = medium, ALTO = high, etc.) or an actual count of the number of individuals or nests associated with a polygon. SEASON_ID contains a numeric identifier for the life history characteristics of each species at a given location (1 = Year round resident population; 2 = Migratory/seasonal population; 3 = Resident and migratory population; 4 = Population/location of nesting/reproduction). G_SOURCE contains the SOURCE_ID for geographic information, and S_SOURCE contains the SOURCE_ID for seasonality information. Both items link to the SOURCES data table. EL_SPE is a concatenation of ELEMENT and SPECIES_ID and links to the SPECIES and STATUS tables. EL_SPE_SEA is a concatenation of ELEMENT, SPECIES_ID, and SEASON_ID. The SPECIES data table contains the SPECIES_ID (described above), common English name (NAME), scientific name (GEN_SPEC), biological element (ELEMENT), biological subelement (SUBELEMENT), the Natural Heritage Program (NHP) global conservation status rank (not used in this atlas), the date the list of NHP ranks was published (DATE_PUB) (not used in this atlas), and EL_SPE, which links back to the BIORES and STATUS tables. The item SUBELEMENT refers to the grouping of the species: (ELEMENT, subelement): T_MAMMAL: bat, canine, feline, sm_mammal. The STATUS data table contains records for each species that is threatened or endangered in either Honduras and/or Nicaragua. The items include: ELEMENT, SPECIES_ID, STATE (two-letter state abbreviation; not populated in this atlas), S_F (jurisdiction; N=Nicaragua, H=Honduras), T_E (status; A=Amenazado, E=En Peligro), DATE_PUB (the date when the given amenazado or en peligro listings were in effect), and EL_SPE. The SOURCES data table contains metadata for each biological and human-use source listed in the ESI atlas. The items in SOURCES include: SOURCE_ID; ORIGINATOR (author); DATE_PUB (date of publication); TITLE (title of the data set); DATA_FORMAT (digital type, hardcopy maps, etc.); PUBLICATION (additional citation); SCALE (source scale denominator); and TIME_PERIOD (beginning and ending dates of original data collection). The SOURCES data table is linked to all biological data at the feature plus species-level and human-use data at the feature-level. The LOCALHON data table provides the common Honduran name (NAME) for a given species. The items in this table include: ELEMENT, SPECIES_ID, NAME, and EL_SPE, which links to the SPECIES table. The LOCALNIC data table provides the common Nicaraguan name (NAME) for a given species. The items in this table include: ELEMENT, SPECIES_ID, NAME, and EL_SPE, which links to the SPECIES table. Due to the complexity of the relational database model, the biological data items are also post-processed into a flat file format. This file is entitled BIOFILE and it may be used in place of the relational files to ease simple data queries. The items in the flat file are ELEMENT, SUBELEMENT, NAME/HONDURAS, NAME/NICARAGUA, NAME/ENGLISH, GEN_SPEC, S_F, T_E, CONC, SEASONALITY, RARNUM, G_SOURCE, S_SOURCE, and SEAS_ID. These items are the same as their counterparts in the individual files described above, with the exception of NAME/HONDURAS, NAME/NICARAGUA, NAME/ENGLISH, SEASONALITY, and SEAS_ID. NAME/HONDURAS is populated with the common Honduran name for each species, NAME/NICARAGUA is populated with the common Nicaraguan name for each species, and NAME/ENGLISH is populated with the common English name for each species. SEASONALITY identifies each species at a given location as one of the following: year-round resident population; migratory/seasonal population; resident and migratory population; or population/location of nesting/reproduction. SEAS_ID contains the numeric identifier for the life history characteristics of each species (1 = Year round resident population; 2 = Migratory/seasonal population; 3 = Resident and migratory population; 4 = Population/location of nesting/reproduction). The link to the BIOFILE may be made through BIO_LUT using ID, or it may be linked directly from the RARNUM in each of the biology cover's attribute files. A supporting data file is SOURCES. This is the same as the source file described above, and the link from the flat file is both G_SOURCE and S_SOURCE. It should be noted that although the flat file eases data query, it is not a normalized database structure, and actual updates performed by the states and other responsible agencies should be done using the relational files.
The digitization of shoreline types, biological resources, and human-use resources is a complex and highly quality-controlled process. Existing digital shoreline and wetlands data are integrated into a study-wide basemap. In order to facilitate digitizing, the entire study area is split into individual quadrangles using the INDEX data layer. The first layer of information digitized is the ESI shoreline classification. The ESI habitat ranking is compiled onto 1:50,000 topographic quadrangles by a geomorphologist. The hardcopy maps are then digitized and checked, using both on-screen and hardcopy reviews. The edited maps are updated, checked once again for completeness and topological and logical consistency. Any errors in the shoreline classification are updated prior to digitization of the biological reference so that there are no slivers in the geographic coordinates. The hardcopy biological information is compiled onto 1:50,000 topographic quadrangles by a biological expert using data from regional specialists in the form of maps, tables, charts, written descriptions of wildlife distributions, and personal interviews. Concurrently, digital data sources are imported, projected, checked for quality control, and integrated into the data structure. The hardcopy data are digitized, checked using both digital and on-screen procedures, integrated with existing data, plotted, and sent out for review by the regional specialists. The edited maps are updated, checked once again, and the final product plotted (at approximately 1:50,000 scale). A team of specialists reviews the entire series of maps, checks all data, and makes final edits. The data are then merged to form the study-wide layers. The data merging includes a final quality control check where labels, chains, and polygons are checked for attribute accuracy. To finalize the data checking process, each data layer is checked using a standardized form by two GIS personnel (a technician and the GIS manager), and each attribute database is checked using several programs that test the files for missing or duplicate data, rules for proper coding, GIS topological consistencies (such as dangles, unnecessary nodes, etc.), and ORACLE (r) and ARC/INFO (r) consistencies. A final review is made by the GIS manager, where the data are written to tape and the metadata are written. After the data are delivered to NOAA, they are again subjected to a number of quality and consistency checks. In the process of checking for topological and database consistencies, new IDs and RARNUMs or HUNUMs are also generated. The new IDs are a combination of atlas number, element number, and record number. In addition, the value used to represent the element is modified to reflect the type of feature being mapped. In the case of an element that is normally represented by a point or polygon, a value of 20 is added to the standard element value for mapping of linear features. In the case where an element usually mapped as a polygon is represented by a point, a value of 30 is added to the regular element value. The RARNUMs and HUNUMS are modified to be unique to each element. ESI data are processed into multiple formats to make them useful to a wider community of GIS/mapping users. Distribution formats include ARC export, MOSS and Shape files, and MARPLOT map folders. An ArcView ESI project and ESI_Viewer product are also included on the CDs for ease of use of the ESI data. The database files are distributed both in the NOAA standard relational database format (see NOAA Technical Memorandum NOS ORCA 115) and in a simplified desktop flat file format. This metadata document includes information on both of these database formats. The section Spatial_Data_Organization_Information refers to the source files in ARC export format only.
Biodiversidad en Nicaragua: Un Estudio de P\xE1is
MARENA
1999-01-01
Discrete
1999
Terrestrial mammal information | Source Geospatial Form: Hard text | Type of Source Media: paper
Estrategia para el Desarrollo y la Conservaci\xF3n del Estero Real, Nicaragua
CATIE
2000-01-01
Discrete
2000
400000
Terrestrial mammal information | Source Geospatial Form: Hard text, Hard maps | Type of Source Media: paper
Expert knowledge of Turtle Nesting, Reptiles, and T_mammals in Cosiguina
Davila, P. (UNAN)
Discrete
2000
Terrestrial mammal information | Source Geospatial Form: Expert knowledge | Type of Source Media: Personal communication
Expert knowledge of various resources in the Golfo de Fonseca
Wainwright, F.
Discrete
2000
Terrestrial mammal information | Source Geospatial Form: Expert knowledge | Type of Source Media: Personal communication
Expert knowledge of various resources in the Golfo de Fonseca
Olivas, L. and R. H. Paz L\xF3pez (COHDEFOR)
Discrete
2000
Terrestrial mammal information | Source Geospatial Form: Expert knowledge | Type of Source Media: Personal communication
Guia de Campos de los Mam\xEDferos de Honduras
Marineros, L., F. Martinez Gallegos
1998-01-01
Discrete
1998
Terrestrial mammal information | Source Geospatial Form: Hard text | Type of Source Media: paper
Propuesta de Declaratoria Corredor Biol\xF3gico Mesoamericano Pacifico de Honduras
Secretaria de Recursos Naturales y Ambiente (SERNA)
1999-01-01
Discrete
1999
Terrestrial mammal information | Source Geospatial Form: Hard text, Digital polygons | Type of Source Media: paper
Proyecto Danida Manglares, Estero Real: Fauna
Cajina , O.
Discrete
1996
Terrestrial mammal information | Source Geospatial Form: Hard text | Type of Source Media: paper
Tropical Mexico: The Ecotraveller's Wildlife guide
Beletsky, L.
1999-01-01
Discrete
1999
Terrestrial mammal information | Source Geospatial Form: Hard text | Type of Source Media: paper
1
All the digital data were checked using both digital and on-screen procedures, plotted, checked by the biological expert, edited to remove any errors, and plotted for review by the regional specialists. The reviewed maps were updated on the computer, checked once again, and plotted at final map scale. A team of specialists reviewed the entire series of maps, checked all data, and made final edits. The data were merged to form the study-wide layers that are described in the document. The data merging included a final quality control check where topological consistency, rules for geography, and database to geography were checked and validated for all relationships.
2001-02-01T00:00:00
42790
Entity
GT-polygon
gov.noaa.nmfs.inport:40300
Tyler Christensen
2017-04-05T14:50:57
SysAdmin InPortAdmin
2023-05-30T18:09:24
2018-02-08
Office of Response and Restoration
ORR
1002
Public
No
2018-02-08
1 Year
2019-02-08