USGS GAP - Alaska - Vertebrates - 1867-2009

Occurrence Observation
Versão mais recente published by United States Geological Survey on ago 3, 2020 United States Geological Survey

Baixe a última versão do recurso de dados, como um Darwin Core Archive (DwC-A) ou recurso de metadados, como EML ou RTF:

Dados como um arquivo DwC-A download 1.193.488 registros em English (20 MB) - Frequência de atualização: não plenejado
Metadados como um arquivo EML download em English (13 KB)
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Descrição

The United States Geological Survey (USGS) Alaska Gap Analysis Project (GAP) compiles many smaller datasets of species occurrences to provide baseline information for conservation in Alaska, particularly when combined with other current efforts. These species occurrences (more than 1M occurrences for 300+ vertebrate species) were used with other ancillary data to generate distribution models and species range maps. The GAP models are among the first range-wide habitat models for vertebrate species at this resolution for Alaska. Prior to using Alaska GAP data, users are encouraged to become familiar with the GAP modeling process. These data provide researchers and managers with a tool for understanding the distribution of vertebrates within the context of these species habitats in Alaska.

Registros de Dados

Os dados deste recurso de ocorrência foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 1.193.488 registros.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versões

A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.

Como citar

Pesquisadores deveriam citar esta obra da seguinte maneira:

Gotthardt, Tracey, Sanjay Pyare, Falk Huettmann, Kelly Walton, Miles Spathelf, Kelly Nesvacil, Andy Baltensperger, Grant Humphries, and Tamara Fields. 2014. PREDICTING THE RANGE AND DISTRIBUTION OF TERRESTRIAL VERTEBRATE SPECIES IN ALASKA. Alaska Natural Heritage Program. Anchorage, Alaska.

Direitos

Pesquisadores devem respeitar a seguinte declaração de direitos:

O editor e o detentor dos direitos deste trabalho é United States Geological Survey. To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.

GBIF Registration

Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: 31a35af0-c997-4f76-b045-9942bc14b896.  United States Geological Survey publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por GBIF-US.

Palavras-chave

Metadata; Animalia; Chordata; Vertebrata; gap analysis; species distributions; vertebrates; Observation

Dados externos

Os dados de recurso também estão disponíveis em outros formatos

Data.gov landing page for access to GAP data at a national level https://catalog.data.gov/dataset/u-s-geological-survey-gap-analysis-program-species-distribution-modelsaea06 UTF-8 html
USGS GAP - Alaska - Vertebrates - 1867-2009 in USGS BISON online species mapping application https://bison.usgs.gov/?providerID=440&resourceID=100051 UTF-8 CSV, SHP

Contatos

Tracey Gotthardt
  • Provedor Dos Metadados
  • Originador
  • Ponto De Contato
  • Alaska GAP project coordinator
Alaska Natural Heritage Program, Beatrice McDonald Hall
  • 3211 Providence Drive, University of Alaska
99508 Anchorage
Alaska
US
  • 907-786-6352
Alexa McKerrow
  • Originador
  • Ecologist and Remote Sensing Analyst
USGS Science Analytics and Synthesis Program
  • 127 David Clark Labs, University of North Carolina
27695-7617 Raleigh
North Carolina
US
  • +1 919-513-2853
Annie Simpson
  • Provedor Dos Metadados
  • biologist and information scientist
USGS Core Science Systems
  • 12201 Sunrise Valley Dr, Mail Stop 302
20192 Reston
VA
US
  • 17036484281

Cobertura Geográfica

Approximate polygon for the state of Alaska; not exactly based on lat/lons of dataset's records.

Coordenadas delimitadoras Sul Oeste [50,63, -179], Norte Leste [71,34, -128,97]

Cobertura Taxonômica

310 species of vertebrates

Reino Animalia (animals)
Filo Chordata (chordates)
Subfilo Vertebrata (vertebrates)

Cobertura Temporal

Data Inicial / Data final 1867-01-01 / 2009-01-01

Dados Sobre o Projeto

Nenhuma descrição disponível

Título US Geological Survey Gap Analysis Program - Alaska - Vertebrates
Financiamento US Geological Survey Gap Analysis Program
Descrição da Área de Estudo The study area was the state of Alaska. Occurrence records were compiled from over 600 unique sources and were collected using diverse survey methods, study areas, and target taxa. Many wide-ranging taxa utilized habitats differently across their range, or elevation limits changed due to latitudinal differences over the study area. In an attempt to capture regional variation in habitat utilization, but not produce multiple models for a single taxon, Ecological Systems were filtered by physiographic region (including: Aleutian, Artic, Boreal, Sub-boreal, North American Pacific Maritime and Temperate Pacific) before the associated Ecological Systems were identified as suitable habitat or not for each taxon.
Descrição do Design Because the dataset includes records from more than 600 sources, the design descriptions varied too widely to describe.

O pessoal envolvido no projeto:

Tracey Gotthardt
  • Autor

Citações bibliográficas

  1. Gotthardt, Tracey, Sanjay Pyare, Falk Huettmann. 2008. Project proposal: The Alaska Gap Analysis Program: modeling the distribution of vertebrate species using an inductive and deductive approach. Alaska Natural Heritage Program. http://sealab.uas.alaska.edu/pdfs/AK_GAP_Distribution_Modeling_Project_Narrative.pdf

Metadados Adicionais