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U.S. Gulf of Mexico coast (TX, MS, AL, and FL) Macroclimate Vegetation Data Section 1 (2013-2014)

Metadata Updated: October 28, 2023

The northern Gulf of Mexico coast spans two major climate gradients and represents an excellent natural laboratory for developing climate-influenced ecological models. In this project, we used these zones of remarkable transition to develop macroclimate-based models for quantifying the regional responses of coastal wetland ecosystems to climate variation. In addition to providing important fish and wildlife habitat and supporting coastal food webs, these coastal wetlands provide many ecosystem goods and services including clean water, stable coastlines, food, recreational opportunities, and stored carbon. Our objective was to examine and forecast the effects of macroclimatic drivers on wetland ecosystem structure and function in the northern Gulf of Mexico.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Created Date May 31, 2023
Metadata Updated Date October 28, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date May 31, 2023
Metadata Updated Date October 28, 2023
Publisher Climate Adaptation Science Centers
Identifier 92666250-71c0-4850-959d-d68fe2503ad9
Data Last Modified 2020-08-14
Category geospatial
Public Access Level public
Bureau Code 010:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id f3fbca08-8dd8-47d7-8dbc-8d6d679bfd17
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -97.365203,25.856967,-81.499719,30.497478
Source Datajson Identifier True
Source Hash 537437a6f75a1e807078a65755143cf8159b054af15b2e3ad511fd0f997b01b0
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -97.365203, 25.856967, -97.365203, 30.497478, -81.499719, 30.497478, -81.499719, 25.856967, -97.365203, 25.856967}

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