Designing Sustainable Landscapes: Representative Species Model: Marsh Wren (Cistothorus palustris)

Marsh Wren was selected as a representative species for the Designing Sustainable Landscapes project of the North Atlantic LCC (https://scholarworks.umass.edu/designing_sustainable_landscapes/). The habitat clusters (ecological systems) and associated wildlife species that it represents generally co...

Full description

Bibliographic Details
Main Author: DeLuca, William V.
Format: Text
Language:unknown
Published: ScholarWorks@UMass Amherst 2018
Subjects:
Online Access:https://scholarworks.umass.edu/data/94
https://scholarworks.umass.edu/context/data/article/1097/type/native/viewcontent
id ftunivmassamh:oai:scholarworks.umass.edu:data-1097
record_format openpolar
spelling ftunivmassamh:oai:scholarworks.umass.edu:data-1097 2023-05-15T17:30:13+02:00 Designing Sustainable Landscapes: Representative Species Model: Marsh Wren (Cistothorus palustris) DeLuca, William V. 2018-04-20T07:00:00Z application/x-zip-compressed https://scholarworks.umass.edu/data/94 https://scholarworks.umass.edu/context/data/article/1097/type/native/viewcontent unknown ScholarWorks@UMass Amherst https://scholarworks.umass.edu/data/94 https://scholarworks.umass.edu/context/data/article/1097/type/native/viewcontent Data and Datasets text 2018 ftunivmassamh 2022-01-09T20:12:47Z Marsh Wren was selected as a representative species for the Designing Sustainable Landscapes project of the North Atlantic LCC (https://scholarworks.umass.edu/designing_sustainable_landscapes/). The habitat clusters (ecological systems) and associated wildlife species that it represents generally comprise of fresh, brackish and salt emergent marshes. The Landscape Capability (LC) index integrates habitat capability, prevalence and climate suitability into a single index that reflects the relative capacity of a site to support the species. https://scholarworks.umass.edu/data/1097/thumbnail.jpg Text North Atlantic University of Massachusetts: ScholarWorks@UMass Amherst
institution Open Polar
collection University of Massachusetts: ScholarWorks@UMass Amherst
op_collection_id ftunivmassamh
language unknown
description Marsh Wren was selected as a representative species for the Designing Sustainable Landscapes project of the North Atlantic LCC (https://scholarworks.umass.edu/designing_sustainable_landscapes/). The habitat clusters (ecological systems) and associated wildlife species that it represents generally comprise of fresh, brackish and salt emergent marshes. The Landscape Capability (LC) index integrates habitat capability, prevalence and climate suitability into a single index that reflects the relative capacity of a site to support the species. https://scholarworks.umass.edu/data/1097/thumbnail.jpg
format Text
author DeLuca, William V.
spellingShingle DeLuca, William V.
Designing Sustainable Landscapes: Representative Species Model: Marsh Wren (Cistothorus palustris)
author_facet DeLuca, William V.
author_sort DeLuca, William V.
title Designing Sustainable Landscapes: Representative Species Model: Marsh Wren (Cistothorus palustris)
title_short Designing Sustainable Landscapes: Representative Species Model: Marsh Wren (Cistothorus palustris)
title_full Designing Sustainable Landscapes: Representative Species Model: Marsh Wren (Cistothorus palustris)
title_fullStr Designing Sustainable Landscapes: Representative Species Model: Marsh Wren (Cistothorus palustris)
title_full_unstemmed Designing Sustainable Landscapes: Representative Species Model: Marsh Wren (Cistothorus palustris)
title_sort designing sustainable landscapes: representative species model: marsh wren (cistothorus palustris)
publisher ScholarWorks@UMass Amherst
publishDate 2018
url https://scholarworks.umass.edu/data/94
https://scholarworks.umass.edu/context/data/article/1097/type/native/viewcontent
genre North Atlantic
genre_facet North Atlantic
op_source Data and Datasets
op_relation https://scholarworks.umass.edu/data/94
https://scholarworks.umass.edu/context/data/article/1097/type/native/viewcontent
_version_ 1766126067189284864