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1000 Titel
  • Application of Anthromes to Frame Scenario Planning for Landscape-Scale Conservation Decision Making
1000 Autor/in
  1. Gibson, Dainee M. |
  2. Quinn, John E. |
1000 Erscheinungsjahr 2017
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2017-05-10
1000 Erschienen in
1000 Quellenangabe
  • 6(2):33
1000 Copyrightjahr
  • 2017
1000 Lizenz
1000 Verlagsversion
  • http://dx.doi.org/10.3390/land6020033 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Complexities in the rates and patterns of change necessitate the consideration of alternate futures in planning processes. These scenarios, and the inputs and assumptions used to build them, should reflect both ecological and social contexts. Considering the regional landscape as an anthrome, a priori, assumes human needs and institutions have a fundamental role and place in these futures, but that institutions incorporate ecological limits in decision making. As a case study of conservation scenario planning under the anthrome paradigm, we used a suite of InVEST models to develop and explore land use and land cover scenarios and to measure the associated change in biodiversity and ecosystem services in a region where dense settlements are expanding into populated and residential woodland anthromes. While tradeoffs between benefits in alternative futures are unavoidable, we found that distinct conservation opportunities arise within and around the protected areas and in the heterogeneous urban core of the county. Reflecting on the process and subsequent findings, we discuss why anthromes can be a more suitable framing for scenarios used in conservation decision making and land use planning. Specifically, we discuss how starting with anthromes influenced assumptions about inputs and opportunities and the decisions related to the planning for human and natural systems.
1000 Sacherschließung
lokal urban
lokal carbon sequestration
lokal habitat quality
lokal Piedmont
lokal InVEST
lokal stakeholder
1000 Fachgruppe
  1. Umweltwissenschaften |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/R2lic29uLCBEYWluZWUgTS4=|https://frl.publisso.de/adhoc/creator/UXVpbm4sIEpvaG4gRS4=
1000 Label
1000 Förderer
  1. Furman University
  2. Shi Center for Sustainability
1000 Fördernummer
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  2. -
1000 Förderprogramm
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  2. -
1000 Dateien
1000 Objektart article
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1000 @id frl:6411187.rdf
1000 Erstellt am 2018-11-19T10:09:05.090+0100
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1000 Zuletzt bearbeitet Thu Jan 30 19:24:35 CET 2020
1000 Objekt bearb. Mon Dec 03 10:53:43 CET 2018
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1000 Oai Id
  1. oai:frl.publisso.de:frl:6411187 |
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