Targeting and evaluating biodiversity conservation action within fragmented landscapes: an approach based on generic focal species and least-cost networks View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-07-14

AUTHORS

Kevin Watts, Amy E. Eycott, Phillip Handley, Duncan Ray, Jonathan W. Humphrey, Christopher P. Quine

ABSTRACT

The focus of biodiversity conservation is shifting to larger spatial scales in response to habitat fragmentation and the need to integrate multiple landscape objectives. Conservation strategies increasingly incorporate measures to combat fragmentation such as ecological networks. These are often based on assessment of landscape structure but such approaches fail to capitalise on the potential offered by more ecologically robust assessments of landscape function and connectivity. In this paper, we describe a modelling approach to identifying functional habitat networks and demonstrate its application to a fragmented landscape where policy initiatives seek to improve conditions for woodland biodiversity including increasing woodland cover. Functional habitat networks were defined by identifying suitable habitat and by modelling connectivity using least-cost approaches to account for matrix permeability. Generic focal species (GFS) profiles were developed, in consultation with stakeholders, to represent species with high and moderate sensitivity to fragmentation. We demonstrated how this form of analysis can be used to aid the spatial targeting of conservation actions. This ‘targeted’ action scenario was tested for effectiveness against comparable scenarios, which were based on random and clumped actions within the same landscape. We tested effectiveness using structural metrics, network-based metrics and a published functional connectivity indicator. Targeting actions within networks resulted in the highest mean woodland area and highest connectivity indicator value. Our approach provides an assessment of landscape function by recognising the importance of the landscape matrix. It provides a framework for the targeting and evaluation of alternative conservation options, offering a pragmatic, ecologically-robust solution to a current need in applied landscape ecology. More... »

PAGES

1305-1318

References to SciGraph publications

  • 2009-11-29. Does the type of matrix matter? A quantitative review of the evidence in BIODIVERSITY AND CONSERVATION
  • 2002. Assessing the Conservation Potential of Habitat Networks in APPLYING LANDSCAPE ECOLOGY IN BIOLOGICAL CONSERVATION
  • 1999-02. Effects of habitat fragmentation on Eurasian red squirrel (Sciurus vulgaris) in a forest landscape in LANDSCAPE ECOLOGY
  • 1994-09. Habitat destruction and the extinction debt in NATURE
  • 1991-03. Metapopulation theory and habitat fragmentation: a review of holarctic breeding bird studies in LANDSCAPE ECOLOGY
  • 2005-01. Quantifying functional connectivity: Experimental evidence for patch-specific resistance in the Natterjack toad (Bufo calamita) in LANDSCAPE ECOLOGY
  • 2006-08-03. Quantifying functional connectivity: experimental assessment of boundary permeability for the natterjack toad (Bufo calamita) in OECOLOGIA
  • 1992-12. Distributions of occupied and vacant butterfly habitats in fragmented landscapes in OECOLOGIA
  • 2000-09. Long distance seed dispersal by wind: measuring and modelling the tail of the curve in OECOLOGIA
  • 2004-01. Extinction risk from climate change in NATURE
  • 2005-05. A Practical Map-Analysis Tool for Detecting Potential Dispersal Corridors in LANDSCAPE ECOLOGY
  • 1997-06. Response of generalist and specialist insect herbivores to landscape spatial structure in LANDSCAPE ECOLOGY
  • 2006-11-01. Putting the ‘landscape’ in landscape genetics in HEREDITY
  • 2001-12. Bridging the gap between ecology and spatial planning in landscape ecology in LANDSCAPE ECOLOGY
  • 2000-04. The metapopulation capacity of a fragmented landscape in NATURE
  • 2003-01. Evaluation of patch isolation metrics in mosaic landscapes for specialist vs. generalist dispersers in LANDSCAPE ECOLOGY
  • 2007-07-14. Functional connectivity defined through cost-distance and genetic analyses: a case study for the rock-dwelling mountain vizcacha (Lagidium viscacia) in Patagonia, Argentina in LANDSCAPE ECOLOGY
  • 2007-07-24. Testing assumptions of cost surface analysis—a tool for invasive species management in LANDSCAPE ECOLOGY
  • 1993. Metapopulation models for impact assessment of fragmentation in LANDSCAPE ECOLOGY OF A STRESSED ENVIRONMENT
  • 2003-09. Incorporating landscape elements into a connectivity measure: a case study for the Speckled wood butterfly (Pararge aegeria L.) in LANDSCAPE ECOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10980-010-9507-9

    DOI

    http://dx.doi.org/10.1007/s10980-010-9507-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1028839803


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/05", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Environmental Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0501", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Ecological Applications", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0502", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Environmental Science and Management", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Forest Research, Alice Holt Lodge, GU10 4LH, Farnham, Surrey, England, UK", 
              "id": "http://www.grid.ac/institutes/grid.479676.d", 
              "name": [
                "Forest Research, Alice Holt Lodge, GU10 4LH, Farnham, Surrey, England, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Watts", 
            "givenName": "Kevin", 
            "id": "sg:person.010117150147.30", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010117150147.30"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Forest Research, Alice Holt Lodge, GU10 4LH, Farnham, Surrey, England, UK", 
              "id": "http://www.grid.ac/institutes/grid.479676.d", 
              "name": [
                "Forest Research, Alice Holt Lodge, GU10 4LH, Farnham, Surrey, England, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Eycott", 
            "givenName": "Amy E.", 
            "id": "sg:person.013763250405.22", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013763250405.22"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Forest Research, Alice Holt Lodge, GU10 4LH, Farnham, Surrey, England, UK", 
              "id": "http://www.grid.ac/institutes/grid.479676.d", 
              "name": [
                "Forest Research, Alice Holt Lodge, GU10 4LH, Farnham, Surrey, England, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Handley", 
            "givenName": "Phillip", 
            "id": "sg:person.014132571455.74", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014132571455.74"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Forest Research, Northern Research Station, EH25 9SY, Roslin, Midlothian, Scotland, UK", 
              "id": "http://www.grid.ac/institutes/grid.479676.d", 
              "name": [
                "Forest Research, Northern Research Station, EH25 9SY, Roslin, Midlothian, Scotland, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ray", 
            "givenName": "Duncan", 
            "id": "sg:person.015003751127.90", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015003751127.90"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Forest Research, Northern Research Station, EH25 9SY, Roslin, Midlothian, Scotland, UK", 
              "id": "http://www.grid.ac/institutes/grid.479676.d", 
              "name": [
                "Forest Research, Northern Research Station, EH25 9SY, Roslin, Midlothian, Scotland, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Humphrey", 
            "givenName": "Jonathan W.", 
            "id": "sg:person.016025452237.53", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016025452237.53"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Forest Research, Northern Research Station, EH25 9SY, Roslin, Midlothian, Scotland, UK", 
              "id": "http://www.grid.ac/institutes/grid.479676.d", 
              "name": [
                "Forest Research, Northern Research Station, EH25 9SY, Roslin, Midlothian, Scotland, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Quine", 
            "givenName": "Christopher P.", 
            "id": "sg:person.07577501157.29", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07577501157.29"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf00124663", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003576930", 
              "https://doi.org/10.1007/bf00124663"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1026062530600", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033424016", 
              "https://doi.org/10.1023/a:1026062530600"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/371065a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038381470", 
              "https://doi.org/10.1038/371065a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10980-005-0166-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035338508", 
              "https://doi.org/10.1007/s10980-005-0166-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.hdy.6800917", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038609553", 
              "https://doi.org/10.1038/sj.hdy.6800917"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10980-007-9118-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037584126", 
              "https://doi.org/10.1007/s10980-007-9118-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature02121", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034096020", 
              "https://doi.org/10.1038/nature02121"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35008063", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053429310", 
              "https://doi.org/10.1038/35008063"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1014475908949", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035072056", 
              "https://doi.org/10.1023/a:1014475908949"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1008040001801", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012441893", 
              "https://doi.org/10.1023/a:1008040001801"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10980-004-3162-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013807621", 
              "https://doi.org/10.1007/s10980-004-3162-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10531-009-9750-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029909100", 
              "https://doi.org/10.1007/s10531-009-9750-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1007961006232", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006887260", 
              "https://doi.org/10.1023/a:1007961006232"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1022908109982", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033368506", 
              "https://doi.org/10.1023/a:1022908109982"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-011-2318-1_8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028771237", 
              "https://doi.org/10.1007/978-94-011-2318-1_8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00442-006-0500-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004044808", 
              "https://doi.org/10.1007/s00442-006-0500-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10980-007-9106-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026234700", 
              "https://doi.org/10.1007/s10980-007-9106-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4613-0059-5_21", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030670844", 
              "https://doi.org/10.1007/978-1-4613-0059-5_21"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/pl00008876", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039699269", 
              "https://doi.org/10.1007/pl00008876"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00317850", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018291992", 
              "https://doi.org/10.1007/bf00317850"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2010-07-14", 
        "datePublishedReg": "2010-07-14", 
        "description": "The focus of biodiversity conservation is shifting to larger spatial scales in response to habitat fragmentation and the need to integrate multiple landscape objectives. Conservation strategies increasingly incorporate measures to combat fragmentation such as ecological networks. These are often based on assessment of landscape structure but such approaches fail to capitalise on the potential offered by more ecologically robust assessments of landscape function and connectivity. In this paper, we describe a modelling approach to identifying functional habitat networks and demonstrate its application to a fragmented landscape where policy initiatives seek to improve conditions for woodland biodiversity including increasing woodland cover. Functional habitat networks were defined by identifying suitable habitat and by modelling connectivity using least-cost approaches to account for matrix permeability. Generic focal species (GFS) profiles were developed, in consultation with stakeholders, to represent species with high and moderate sensitivity to fragmentation. We demonstrated how this form of analysis can be used to aid the spatial targeting of conservation actions. This \u2018targeted\u2019 action scenario was tested for effectiveness against comparable scenarios, which were based on random and clumped actions within the same landscape. We tested effectiveness using structural metrics, network-based metrics and a published functional connectivity indicator. Targeting actions within networks resulted in the highest mean woodland area and highest connectivity indicator value. Our approach provides an assessment of landscape function by recognising the importance of the landscape matrix. It provides a framework for the targeting and evaluation of alternative conservation options, offering a pragmatic, ecologically-robust solution to a current need in applied landscape ecology.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s10980-010-9507-9", 
        "inLanguage": "en", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1043738", 
            "issn": [
              "0921-2973", 
              "1572-9761"
            ], 
            "name": "Landscape Ecology", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "9", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "25"
          }
        ], 
        "keywords": [
          "functional habitat networks", 
          "habitat networks", 
          "conservation actions", 
          "fragmented landscape", 
          "landscape functions", 
          "biodiversity conservation actions", 
          "large spatial scales", 
          "functional connectivity indicator", 
          "biodiversity conservation", 
          "woodland biodiversity", 
          "habitat fragmentation", 
          "landscape matrix", 
          "landscape objectives", 
          "suitable habitat", 
          "conservation strategies", 
          "landscape structure", 
          "woodland cover", 
          "landscape ecology", 
          "focal species", 
          "conservation options", 
          "ecological networks", 
          "woodland area", 
          "same landscape", 
          "least-cost approach", 
          "indicator values", 
          "spatial scales", 
          "spatial targeting", 
          "connectivity indicators", 
          "structural metrics", 
          "network-based metrics", 
          "action scenarios", 
          "robust assessment", 
          "landscape", 
          "least-cost network", 
          "comparable scenarios", 
          "fragmentation", 
          "species", 
          "biodiversity", 
          "habitats", 
          "connectivity", 
          "conservation", 
          "ecology", 
          "cover", 
          "assessment", 
          "species profiles", 
          "matrix permeability", 
          "scenarios", 
          "policy initiatives", 
          "metrics", 
          "such approaches", 
          "indicators", 
          "area", 
          "stakeholders", 
          "scale", 
          "current needs", 
          "importance", 
          "need", 
          "approach", 
          "objective", 
          "initiatives", 
          "potential", 
          "action", 
          "strategies", 
          "measures", 
          "conditions", 
          "options", 
          "response", 
          "values", 
          "framework", 
          "focus", 
          "structure", 
          "profile", 
          "effectiveness", 
          "form of analysis", 
          "analysis", 
          "applications", 
          "network", 
          "moderate sensitivity", 
          "form", 
          "sensitivity", 
          "function", 
          "evaluation", 
          "targeting", 
          "matrix", 
          "permeability", 
          "paper", 
          "consultation", 
          "solution", 
          "robust solution", 
          "multiple landscape objectives", 
          "Generic focal species (GFS) profiles", 
          "focal species (GFS) profiles", 
          "clumped actions", 
          "highest mean woodland area", 
          "mean woodland area", 
          "highest connectivity indicator value", 
          "connectivity indicator value", 
          "alternative conservation options", 
          "generic focal species"
        ], 
        "name": "Targeting and evaluating biodiversity conservation action within fragmented landscapes: an approach based on generic focal species and least-cost networks", 
        "pagination": "1305-1318", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1028839803"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10980-010-9507-9"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10980-010-9507-9", 
          "https://app.dimensions.ai/details/publication/pub.1028839803"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-01-01T18:21", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_505.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s10980-010-9507-9"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10980-010-9507-9'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10980-010-9507-9'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10980-010-9507-9'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10980-010-9507-9'


     

    This table displays all metadata directly associated to this object as RDF triples.

    278 TRIPLES      22 PREDICATES      145 URIs      116 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10980-010-9507-9 schema:about anzsrc-for:05
    2 anzsrc-for:0501
    3 anzsrc-for:0502
    4 schema:author N609fe6f501634c9d8f3e3372b2fb0989
    5 schema:citation sg:pub.10.1007/978-1-4613-0059-5_21
    6 sg:pub.10.1007/978-94-011-2318-1_8
    7 sg:pub.10.1007/bf00124663
    8 sg:pub.10.1007/bf00317850
    9 sg:pub.10.1007/pl00008876
    10 sg:pub.10.1007/s00442-006-0500-6
    11 sg:pub.10.1007/s10531-009-9750-z
    12 sg:pub.10.1007/s10980-004-3162-y
    13 sg:pub.10.1007/s10980-005-0166-1
    14 sg:pub.10.1007/s10980-007-9106-6
    15 sg:pub.10.1007/s10980-007-9118-2
    16 sg:pub.10.1023/a:1007961006232
    17 sg:pub.10.1023/a:1008040001801
    18 sg:pub.10.1023/a:1014475908949
    19 sg:pub.10.1023/a:1022908109982
    20 sg:pub.10.1023/a:1026062530600
    21 sg:pub.10.1038/35008063
    22 sg:pub.10.1038/371065a0
    23 sg:pub.10.1038/nature02121
    24 sg:pub.10.1038/sj.hdy.6800917
    25 schema:datePublished 2010-07-14
    26 schema:datePublishedReg 2010-07-14
    27 schema:description The focus of biodiversity conservation is shifting to larger spatial scales in response to habitat fragmentation and the need to integrate multiple landscape objectives. Conservation strategies increasingly incorporate measures to combat fragmentation such as ecological networks. These are often based on assessment of landscape structure but such approaches fail to capitalise on the potential offered by more ecologically robust assessments of landscape function and connectivity. In this paper, we describe a modelling approach to identifying functional habitat networks and demonstrate its application to a fragmented landscape where policy initiatives seek to improve conditions for woodland biodiversity including increasing woodland cover. Functional habitat networks were defined by identifying suitable habitat and by modelling connectivity using least-cost approaches to account for matrix permeability. Generic focal species (GFS) profiles were developed, in consultation with stakeholders, to represent species with high and moderate sensitivity to fragmentation. We demonstrated how this form of analysis can be used to aid the spatial targeting of conservation actions. This ‘targeted’ action scenario was tested for effectiveness against comparable scenarios, which were based on random and clumped actions within the same landscape. We tested effectiveness using structural metrics, network-based metrics and a published functional connectivity indicator. Targeting actions within networks resulted in the highest mean woodland area and highest connectivity indicator value. Our approach provides an assessment of landscape function by recognising the importance of the landscape matrix. It provides a framework for the targeting and evaluation of alternative conservation options, offering a pragmatic, ecologically-robust solution to a current need in applied landscape ecology.
    28 schema:genre article
    29 schema:inLanguage en
    30 schema:isAccessibleForFree false
    31 schema:isPartOf N8d0a985498c64158a01b6a864758ae50
    32 Nde38fb21eb544804928a408c8771e4ef
    33 sg:journal.1043738
    34 schema:keywords Generic focal species (GFS) profiles
    35 action
    36 action scenarios
    37 alternative conservation options
    38 analysis
    39 applications
    40 approach
    41 area
    42 assessment
    43 biodiversity
    44 biodiversity conservation
    45 biodiversity conservation actions
    46 clumped actions
    47 comparable scenarios
    48 conditions
    49 connectivity
    50 connectivity indicator value
    51 connectivity indicators
    52 conservation
    53 conservation actions
    54 conservation options
    55 conservation strategies
    56 consultation
    57 cover
    58 current needs
    59 ecological networks
    60 ecology
    61 effectiveness
    62 evaluation
    63 focal species
    64 focal species (GFS) profiles
    65 focus
    66 form
    67 form of analysis
    68 fragmentation
    69 fragmented landscape
    70 framework
    71 function
    72 functional connectivity indicator
    73 functional habitat networks
    74 generic focal species
    75 habitat fragmentation
    76 habitat networks
    77 habitats
    78 highest connectivity indicator value
    79 highest mean woodland area
    80 importance
    81 indicator values
    82 indicators
    83 initiatives
    84 landscape
    85 landscape ecology
    86 landscape functions
    87 landscape matrix
    88 landscape objectives
    89 landscape structure
    90 large spatial scales
    91 least-cost approach
    92 least-cost network
    93 matrix
    94 matrix permeability
    95 mean woodland area
    96 measures
    97 metrics
    98 moderate sensitivity
    99 multiple landscape objectives
    100 need
    101 network
    102 network-based metrics
    103 objective
    104 options
    105 paper
    106 permeability
    107 policy initiatives
    108 potential
    109 profile
    110 response
    111 robust assessment
    112 robust solution
    113 same landscape
    114 scale
    115 scenarios
    116 sensitivity
    117 solution
    118 spatial scales
    119 spatial targeting
    120 species
    121 species profiles
    122 stakeholders
    123 strategies
    124 structural metrics
    125 structure
    126 such approaches
    127 suitable habitat
    128 targeting
    129 values
    130 woodland area
    131 woodland biodiversity
    132 woodland cover
    133 schema:name Targeting and evaluating biodiversity conservation action within fragmented landscapes: an approach based on generic focal species and least-cost networks
    134 schema:pagination 1305-1318
    135 schema:productId N1eea6e568c2a41eda772b33bba392043
    136 Nc4b9099d8c06465990e743a1c9461822
    137 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028839803
    138 https://doi.org/10.1007/s10980-010-9507-9
    139 schema:sdDatePublished 2022-01-01T18:21
    140 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    141 schema:sdPublisher N2ca0e0e719ee49e4939fcc47d6edbd5e
    142 schema:url https://doi.org/10.1007/s10980-010-9507-9
    143 sgo:license sg:explorer/license/
    144 sgo:sdDataset articles
    145 rdf:type schema:ScholarlyArticle
    146 N1eea6e568c2a41eda772b33bba392043 schema:name doi
    147 schema:value 10.1007/s10980-010-9507-9
    148 rdf:type schema:PropertyValue
    149 N2ca0e0e719ee49e4939fcc47d6edbd5e schema:name Springer Nature - SN SciGraph project
    150 rdf:type schema:Organization
    151 N363f11113c46409bb47e9860191885a4 rdf:first sg:person.015003751127.90
    152 rdf:rest Nb826be744e5c4dfd8e68003b8f9f05ae
    153 N5dd1c809f27d4c92936de5acbe5e5d62 rdf:first sg:person.014132571455.74
    154 rdf:rest N363f11113c46409bb47e9860191885a4
    155 N5edb4046ff5849f59a310e042b595566 rdf:first sg:person.07577501157.29
    156 rdf:rest rdf:nil
    157 N609fe6f501634c9d8f3e3372b2fb0989 rdf:first sg:person.010117150147.30
    158 rdf:rest Nb0cd7b9c9762427f943d45b1f73c5845
    159 N8d0a985498c64158a01b6a864758ae50 schema:volumeNumber 25
    160 rdf:type schema:PublicationVolume
    161 Nb0cd7b9c9762427f943d45b1f73c5845 rdf:first sg:person.013763250405.22
    162 rdf:rest N5dd1c809f27d4c92936de5acbe5e5d62
    163 Nb826be744e5c4dfd8e68003b8f9f05ae rdf:first sg:person.016025452237.53
    164 rdf:rest N5edb4046ff5849f59a310e042b595566
    165 Nc4b9099d8c06465990e743a1c9461822 schema:name dimensions_id
    166 schema:value pub.1028839803
    167 rdf:type schema:PropertyValue
    168 Nde38fb21eb544804928a408c8771e4ef schema:issueNumber 9
    169 rdf:type schema:PublicationIssue
    170 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
    171 schema:name Environmental Sciences
    172 rdf:type schema:DefinedTerm
    173 anzsrc-for:0501 schema:inDefinedTermSet anzsrc-for:
    174 schema:name Ecological Applications
    175 rdf:type schema:DefinedTerm
    176 anzsrc-for:0502 schema:inDefinedTermSet anzsrc-for:
    177 schema:name Environmental Science and Management
    178 rdf:type schema:DefinedTerm
    179 sg:journal.1043738 schema:issn 0921-2973
    180 1572-9761
    181 schema:name Landscape Ecology
    182 schema:publisher Springer Nature
    183 rdf:type schema:Periodical
    184 sg:person.010117150147.30 schema:affiliation grid-institutes:grid.479676.d
    185 schema:familyName Watts
    186 schema:givenName Kevin
    187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010117150147.30
    188 rdf:type schema:Person
    189 sg:person.013763250405.22 schema:affiliation grid-institutes:grid.479676.d
    190 schema:familyName Eycott
    191 schema:givenName Amy E.
    192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013763250405.22
    193 rdf:type schema:Person
    194 sg:person.014132571455.74 schema:affiliation grid-institutes:grid.479676.d
    195 schema:familyName Handley
    196 schema:givenName Phillip
    197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014132571455.74
    198 rdf:type schema:Person
    199 sg:person.015003751127.90 schema:affiliation grid-institutes:grid.479676.d
    200 schema:familyName Ray
    201 schema:givenName Duncan
    202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015003751127.90
    203 rdf:type schema:Person
    204 sg:person.016025452237.53 schema:affiliation grid-institutes:grid.479676.d
    205 schema:familyName Humphrey
    206 schema:givenName Jonathan W.
    207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016025452237.53
    208 rdf:type schema:Person
    209 sg:person.07577501157.29 schema:affiliation grid-institutes:grid.479676.d
    210 schema:familyName Quine
    211 schema:givenName Christopher P.
    212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07577501157.29
    213 rdf:type schema:Person
    214 sg:pub.10.1007/978-1-4613-0059-5_21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030670844
    215 https://doi.org/10.1007/978-1-4613-0059-5_21
    216 rdf:type schema:CreativeWork
    217 sg:pub.10.1007/978-94-011-2318-1_8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028771237
    218 https://doi.org/10.1007/978-94-011-2318-1_8
    219 rdf:type schema:CreativeWork
    220 sg:pub.10.1007/bf00124663 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003576930
    221 https://doi.org/10.1007/bf00124663
    222 rdf:type schema:CreativeWork
    223 sg:pub.10.1007/bf00317850 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018291992
    224 https://doi.org/10.1007/bf00317850
    225 rdf:type schema:CreativeWork
    226 sg:pub.10.1007/pl00008876 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039699269
    227 https://doi.org/10.1007/pl00008876
    228 rdf:type schema:CreativeWork
    229 sg:pub.10.1007/s00442-006-0500-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004044808
    230 https://doi.org/10.1007/s00442-006-0500-6
    231 rdf:type schema:CreativeWork
    232 sg:pub.10.1007/s10531-009-9750-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1029909100
    233 https://doi.org/10.1007/s10531-009-9750-z
    234 rdf:type schema:CreativeWork
    235 sg:pub.10.1007/s10980-004-3162-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1013807621
    236 https://doi.org/10.1007/s10980-004-3162-y
    237 rdf:type schema:CreativeWork
    238 sg:pub.10.1007/s10980-005-0166-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035338508
    239 https://doi.org/10.1007/s10980-005-0166-1
    240 rdf:type schema:CreativeWork
    241 sg:pub.10.1007/s10980-007-9106-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026234700
    242 https://doi.org/10.1007/s10980-007-9106-6
    243 rdf:type schema:CreativeWork
    244 sg:pub.10.1007/s10980-007-9118-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037584126
    245 https://doi.org/10.1007/s10980-007-9118-2
    246 rdf:type schema:CreativeWork
    247 sg:pub.10.1023/a:1007961006232 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006887260
    248 https://doi.org/10.1023/a:1007961006232
    249 rdf:type schema:CreativeWork
    250 sg:pub.10.1023/a:1008040001801 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012441893
    251 https://doi.org/10.1023/a:1008040001801
    252 rdf:type schema:CreativeWork
    253 sg:pub.10.1023/a:1014475908949 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035072056
    254 https://doi.org/10.1023/a:1014475908949
    255 rdf:type schema:CreativeWork
    256 sg:pub.10.1023/a:1022908109982 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033368506
    257 https://doi.org/10.1023/a:1022908109982
    258 rdf:type schema:CreativeWork
    259 sg:pub.10.1023/a:1026062530600 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033424016
    260 https://doi.org/10.1023/a:1026062530600
    261 rdf:type schema:CreativeWork
    262 sg:pub.10.1038/35008063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053429310
    263 https://doi.org/10.1038/35008063
    264 rdf:type schema:CreativeWork
    265 sg:pub.10.1038/371065a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038381470
    266 https://doi.org/10.1038/371065a0
    267 rdf:type schema:CreativeWork
    268 sg:pub.10.1038/nature02121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034096020
    269 https://doi.org/10.1038/nature02121
    270 rdf:type schema:CreativeWork
    271 sg:pub.10.1038/sj.hdy.6800917 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038609553
    272 https://doi.org/10.1038/sj.hdy.6800917
    273 rdf:type schema:CreativeWork
    274 grid-institutes:grid.479676.d schema:alternateName Forest Research, Alice Holt Lodge, GU10 4LH, Farnham, Surrey, England, UK
    275 Forest Research, Northern Research Station, EH25 9SY, Roslin, Midlothian, Scotland, UK
    276 schema:name Forest Research, Alice Holt Lodge, GU10 4LH, Farnham, Surrey, England, UK
    277 Forest Research, Northern Research Station, EH25 9SY, Roslin, Midlothian, Scotland, UK
    278 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...