Framework for assessing the impact of human activities on the environment: the impact of forest harvesting and petroleum drilling on habitat of moose (Alces alces) and marten (Martens americana)
Abstract The environmental changes induced by projects occurring in an area are evaluated by cumulative impact assessments (CIA), which consider the consequences of multiple projects, each insignificant on its own, yet important when evaluated collectively. When future human activities are of intere...
Ausführliche Beschreibung
Autor*in: |
Strimbu, Bogdan M. [verfasserIn] Innes, John L. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2012 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Biodiversity and conservation - Dordrecht : Springer Netherlands, 1992, 21(2012), 4 vom: 22. Jan., Seite 933-955 |
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Übergeordnetes Werk: |
volume:21 ; year:2012 ; number:4 ; day:22 ; month:01 ; pages:933-955 |
Links: |
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DOI / URN: |
10.1007/s10531-012-0228-z |
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Katalog-ID: |
SPR010919074 |
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520 | |a Abstract The environmental changes induced by projects occurring in an area are evaluated by cumulative impact assessments (CIA), which consider the consequences of multiple projects, each insignificant on its own, yet important when evaluated collectively. When future human activities are of interest, the proposed activities are included in CIA using an analytical platform that can supply precise predictions but with asymptotically null accuracy. To compensate for the lack of accuracy we propose a shift in the paradigm governing CIA. The paradigm shift advocates a change in the focus of CIA investigations from the detailed analysis of one unlikely future to the identification of patterns describing the future changes in the environment. To illustrate the paradigm shift, a set of 144 possible and equally likely futures were developed and used to identify the potential impacts of forest harvesting and petroleum drilling on the habitat of moose and marten. The univariate and multivariate analysis of two measures of habitat, namely average habitat suitability index (HSI) and surface of the stands with HSI >0.5, revealed at least three distinct periods in the next 100 years. Multivariate analysis also showed that habitat quality is of immediate importance and marten is sensitive during the first third of the century. Our findings indicate that the spatial and temporal arrangement of the human disturbances could be more important than the magnitude of the disturbance. The attributes associated with significant environmental changes are harvesting age and the investigated environmental elements of an ecosystem, in this case the species habitat. | ||
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650 | 4 | |a Repeated measures analysis |7 (dpeaa)DE-He213 | |
650 | 4 | |a Cluster analysis |7 (dpeaa)DE-He213 | |
650 | 4 | |a Principal component analysis |7 (dpeaa)DE-He213 | |
650 | 4 | |a Canonical discriminant analysis |7 (dpeaa)DE-He213 | |
700 | 1 | |a Innes, John L. |e verfasserin |4 aut | |
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10.1007/s10531-012-0228-z doi (DE-627)SPR010919074 (SPR)s10531-012-0228-z-e DE-627 ger DE-627 rakwb eng 570 ASE 42.90 bkl 43.31 bkl Strimbu, Bogdan M. verfasserin aut Framework for assessing the impact of human activities on the environment: the impact of forest harvesting and petroleum drilling on habitat of moose (Alces alces) and marten (Martens americana) 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The environmental changes induced by projects occurring in an area are evaluated by cumulative impact assessments (CIA), which consider the consequences of multiple projects, each insignificant on its own, yet important when evaluated collectively. When future human activities are of interest, the proposed activities are included in CIA using an analytical platform that can supply precise predictions but with asymptotically null accuracy. To compensate for the lack of accuracy we propose a shift in the paradigm governing CIA. The paradigm shift advocates a change in the focus of CIA investigations from the detailed analysis of one unlikely future to the identification of patterns describing the future changes in the environment. To illustrate the paradigm shift, a set of 144 possible and equally likely futures were developed and used to identify the potential impacts of forest harvesting and petroleum drilling on the habitat of moose and marten. The univariate and multivariate analysis of two measures of habitat, namely average habitat suitability index (HSI) and surface of the stands with HSI >0.5, revealed at least three distinct periods in the next 100 years. Multivariate analysis also showed that habitat quality is of immediate importance and marten is sensitive during the first third of the century. Our findings indicate that the spatial and temporal arrangement of the human disturbances could be more important than the magnitude of the disturbance. The attributes associated with significant environmental changes are harvesting age and the investigated environmental elements of an ecosystem, in this case the species habitat. Habitat suitability (dpeaa)DE-He213 Repeated measures analysis (dpeaa)DE-He213 Cluster analysis (dpeaa)DE-He213 Principal component analysis (dpeaa)DE-He213 Canonical discriminant analysis (dpeaa)DE-He213 Innes, John L. verfasserin aut Enthalten in Biodiversity and conservation Dordrecht : Springer Netherlands, 1992 21(2012), 4 vom: 22. Jan., Seite 933-955 (DE-627)31751055X (DE-600)2000787-5 1572-9710 nnns volume:21 year:2012 number:4 day:22 month:01 pages:933-955 https://dx.doi.org/10.1007/s10531-012-0228-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.90 ASE 43.31 ASE AR 21 2012 4 22 01 933-955 |
spelling |
10.1007/s10531-012-0228-z doi (DE-627)SPR010919074 (SPR)s10531-012-0228-z-e DE-627 ger DE-627 rakwb eng 570 ASE 42.90 bkl 43.31 bkl Strimbu, Bogdan M. verfasserin aut Framework for assessing the impact of human activities on the environment: the impact of forest harvesting and petroleum drilling on habitat of moose (Alces alces) and marten (Martens americana) 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The environmental changes induced by projects occurring in an area are evaluated by cumulative impact assessments (CIA), which consider the consequences of multiple projects, each insignificant on its own, yet important when evaluated collectively. When future human activities are of interest, the proposed activities are included in CIA using an analytical platform that can supply precise predictions but with asymptotically null accuracy. To compensate for the lack of accuracy we propose a shift in the paradigm governing CIA. The paradigm shift advocates a change in the focus of CIA investigations from the detailed analysis of one unlikely future to the identification of patterns describing the future changes in the environment. To illustrate the paradigm shift, a set of 144 possible and equally likely futures were developed and used to identify the potential impacts of forest harvesting and petroleum drilling on the habitat of moose and marten. The univariate and multivariate analysis of two measures of habitat, namely average habitat suitability index (HSI) and surface of the stands with HSI >0.5, revealed at least three distinct periods in the next 100 years. Multivariate analysis also showed that habitat quality is of immediate importance and marten is sensitive during the first third of the century. Our findings indicate that the spatial and temporal arrangement of the human disturbances could be more important than the magnitude of the disturbance. The attributes associated with significant environmental changes are harvesting age and the investigated environmental elements of an ecosystem, in this case the species habitat. Habitat suitability (dpeaa)DE-He213 Repeated measures analysis (dpeaa)DE-He213 Cluster analysis (dpeaa)DE-He213 Principal component analysis (dpeaa)DE-He213 Canonical discriminant analysis (dpeaa)DE-He213 Innes, John L. verfasserin aut Enthalten in Biodiversity and conservation Dordrecht : Springer Netherlands, 1992 21(2012), 4 vom: 22. Jan., Seite 933-955 (DE-627)31751055X (DE-600)2000787-5 1572-9710 nnns volume:21 year:2012 number:4 day:22 month:01 pages:933-955 https://dx.doi.org/10.1007/s10531-012-0228-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.90 ASE 43.31 ASE AR 21 2012 4 22 01 933-955 |
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10.1007/s10531-012-0228-z doi (DE-627)SPR010919074 (SPR)s10531-012-0228-z-e DE-627 ger DE-627 rakwb eng 570 ASE 42.90 bkl 43.31 bkl Strimbu, Bogdan M. verfasserin aut Framework for assessing the impact of human activities on the environment: the impact of forest harvesting and petroleum drilling on habitat of moose (Alces alces) and marten (Martens americana) 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The environmental changes induced by projects occurring in an area are evaluated by cumulative impact assessments (CIA), which consider the consequences of multiple projects, each insignificant on its own, yet important when evaluated collectively. When future human activities are of interest, the proposed activities are included in CIA using an analytical platform that can supply precise predictions but with asymptotically null accuracy. To compensate for the lack of accuracy we propose a shift in the paradigm governing CIA. The paradigm shift advocates a change in the focus of CIA investigations from the detailed analysis of one unlikely future to the identification of patterns describing the future changes in the environment. To illustrate the paradigm shift, a set of 144 possible and equally likely futures were developed and used to identify the potential impacts of forest harvesting and petroleum drilling on the habitat of moose and marten. The univariate and multivariate analysis of two measures of habitat, namely average habitat suitability index (HSI) and surface of the stands with HSI >0.5, revealed at least three distinct periods in the next 100 years. Multivariate analysis also showed that habitat quality is of immediate importance and marten is sensitive during the first third of the century. Our findings indicate that the spatial and temporal arrangement of the human disturbances could be more important than the magnitude of the disturbance. The attributes associated with significant environmental changes are harvesting age and the investigated environmental elements of an ecosystem, in this case the species habitat. Habitat suitability (dpeaa)DE-He213 Repeated measures analysis (dpeaa)DE-He213 Cluster analysis (dpeaa)DE-He213 Principal component analysis (dpeaa)DE-He213 Canonical discriminant analysis (dpeaa)DE-He213 Innes, John L. verfasserin aut Enthalten in Biodiversity and conservation Dordrecht : Springer Netherlands, 1992 21(2012), 4 vom: 22. Jan., Seite 933-955 (DE-627)31751055X (DE-600)2000787-5 1572-9710 nnns volume:21 year:2012 number:4 day:22 month:01 pages:933-955 https://dx.doi.org/10.1007/s10531-012-0228-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.90 ASE 43.31 ASE AR 21 2012 4 22 01 933-955 |
allfieldsGer |
10.1007/s10531-012-0228-z doi (DE-627)SPR010919074 (SPR)s10531-012-0228-z-e DE-627 ger DE-627 rakwb eng 570 ASE 42.90 bkl 43.31 bkl Strimbu, Bogdan M. verfasserin aut Framework for assessing the impact of human activities on the environment: the impact of forest harvesting and petroleum drilling on habitat of moose (Alces alces) and marten (Martens americana) 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The environmental changes induced by projects occurring in an area are evaluated by cumulative impact assessments (CIA), which consider the consequences of multiple projects, each insignificant on its own, yet important when evaluated collectively. When future human activities are of interest, the proposed activities are included in CIA using an analytical platform that can supply precise predictions but with asymptotically null accuracy. To compensate for the lack of accuracy we propose a shift in the paradigm governing CIA. The paradigm shift advocates a change in the focus of CIA investigations from the detailed analysis of one unlikely future to the identification of patterns describing the future changes in the environment. To illustrate the paradigm shift, a set of 144 possible and equally likely futures were developed and used to identify the potential impacts of forest harvesting and petroleum drilling on the habitat of moose and marten. The univariate and multivariate analysis of two measures of habitat, namely average habitat suitability index (HSI) and surface of the stands with HSI >0.5, revealed at least three distinct periods in the next 100 years. Multivariate analysis also showed that habitat quality is of immediate importance and marten is sensitive during the first third of the century. Our findings indicate that the spatial and temporal arrangement of the human disturbances could be more important than the magnitude of the disturbance. The attributes associated with significant environmental changes are harvesting age and the investigated environmental elements of an ecosystem, in this case the species habitat. Habitat suitability (dpeaa)DE-He213 Repeated measures analysis (dpeaa)DE-He213 Cluster analysis (dpeaa)DE-He213 Principal component analysis (dpeaa)DE-He213 Canonical discriminant analysis (dpeaa)DE-He213 Innes, John L. verfasserin aut Enthalten in Biodiversity and conservation Dordrecht : Springer Netherlands, 1992 21(2012), 4 vom: 22. Jan., Seite 933-955 (DE-627)31751055X (DE-600)2000787-5 1572-9710 nnns volume:21 year:2012 number:4 day:22 month:01 pages:933-955 https://dx.doi.org/10.1007/s10531-012-0228-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.90 ASE 43.31 ASE AR 21 2012 4 22 01 933-955 |
allfieldsSound |
10.1007/s10531-012-0228-z doi (DE-627)SPR010919074 (SPR)s10531-012-0228-z-e DE-627 ger DE-627 rakwb eng 570 ASE 42.90 bkl 43.31 bkl Strimbu, Bogdan M. verfasserin aut Framework for assessing the impact of human activities on the environment: the impact of forest harvesting and petroleum drilling on habitat of moose (Alces alces) and marten (Martens americana) 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The environmental changes induced by projects occurring in an area are evaluated by cumulative impact assessments (CIA), which consider the consequences of multiple projects, each insignificant on its own, yet important when evaluated collectively. When future human activities are of interest, the proposed activities are included in CIA using an analytical platform that can supply precise predictions but with asymptotically null accuracy. To compensate for the lack of accuracy we propose a shift in the paradigm governing CIA. The paradigm shift advocates a change in the focus of CIA investigations from the detailed analysis of one unlikely future to the identification of patterns describing the future changes in the environment. To illustrate the paradigm shift, a set of 144 possible and equally likely futures were developed and used to identify the potential impacts of forest harvesting and petroleum drilling on the habitat of moose and marten. The univariate and multivariate analysis of two measures of habitat, namely average habitat suitability index (HSI) and surface of the stands with HSI >0.5, revealed at least three distinct periods in the next 100 years. Multivariate analysis also showed that habitat quality is of immediate importance and marten is sensitive during the first third of the century. Our findings indicate that the spatial and temporal arrangement of the human disturbances could be more important than the magnitude of the disturbance. The attributes associated with significant environmental changes are harvesting age and the investigated environmental elements of an ecosystem, in this case the species habitat. Habitat suitability (dpeaa)DE-He213 Repeated measures analysis (dpeaa)DE-He213 Cluster analysis (dpeaa)DE-He213 Principal component analysis (dpeaa)DE-He213 Canonical discriminant analysis (dpeaa)DE-He213 Innes, John L. verfasserin aut Enthalten in Biodiversity and conservation Dordrecht : Springer Netherlands, 1992 21(2012), 4 vom: 22. Jan., Seite 933-955 (DE-627)31751055X (DE-600)2000787-5 1572-9710 nnns volume:21 year:2012 number:4 day:22 month:01 pages:933-955 https://dx.doi.org/10.1007/s10531-012-0228-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.90 ASE 43.31 ASE AR 21 2012 4 22 01 933-955 |
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Enthalten in Biodiversity and conservation 21(2012), 4 vom: 22. Jan., Seite 933-955 volume:21 year:2012 number:4 day:22 month:01 pages:933-955 |
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When future human activities are of interest, the proposed activities are included in CIA using an analytical platform that can supply precise predictions but with asymptotically null accuracy. To compensate for the lack of accuracy we propose a shift in the paradigm governing CIA. The paradigm shift advocates a change in the focus of CIA investigations from the detailed analysis of one unlikely future to the identification of patterns describing the future changes in the environment. To illustrate the paradigm shift, a set of 144 possible and equally likely futures were developed and used to identify the potential impacts of forest harvesting and petroleum drilling on the habitat of moose and marten. The univariate and multivariate analysis of two measures of habitat, namely average habitat suitability index (HSI) and surface of the stands with HSI >0.5, revealed at least three distinct periods in the next 100 years. Multivariate analysis also showed that habitat quality is of immediate importance and marten is sensitive during the first third of the century. Our findings indicate that the spatial and temporal arrangement of the human disturbances could be more important than the magnitude of the disturbance. The attributes associated with significant environmental changes are harvesting age and the investigated environmental elements of an ecosystem, in this case the species habitat.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Habitat suitability</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Repeated measures analysis</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cluster analysis</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Principal component analysis</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Canonical discriminant analysis</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Innes, John L.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Biodiversity and conservation</subfield><subfield code="d">Dordrecht : Springer Netherlands, 1992</subfield><subfield code="g">21(2012), 4 vom: 22. 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Strimbu, Bogdan M. |
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Strimbu, Bogdan M. ddc 570 bkl 42.90 bkl 43.31 misc Habitat suitability misc Repeated measures analysis misc Cluster analysis misc Principal component analysis misc Canonical discriminant analysis Framework for assessing the impact of human activities on the environment: the impact of forest harvesting and petroleum drilling on habitat of moose (Alces alces) and marten (Martens americana) |
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570 ASE 42.90 bkl 43.31 bkl Framework for assessing the impact of human activities on the environment: the impact of forest harvesting and petroleum drilling on habitat of moose (Alces alces) and marten (Martens americana) Habitat suitability (dpeaa)DE-He213 Repeated measures analysis (dpeaa)DE-He213 Cluster analysis (dpeaa)DE-He213 Principal component analysis (dpeaa)DE-He213 Canonical discriminant analysis (dpeaa)DE-He213 |
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ddc 570 bkl 42.90 bkl 43.31 misc Habitat suitability misc Repeated measures analysis misc Cluster analysis misc Principal component analysis misc Canonical discriminant analysis |
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ddc 570 bkl 42.90 bkl 43.31 misc Habitat suitability misc Repeated measures analysis misc Cluster analysis misc Principal component analysis misc Canonical discriminant analysis |
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Framework for assessing the impact of human activities on the environment: the impact of forest harvesting and petroleum drilling on habitat of moose (Alces alces) and marten (Martens americana) |
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Framework for assessing the impact of human activities on the environment: the impact of forest harvesting and petroleum drilling on habitat of moose (Alces alces) and marten (Martens americana) |
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Strimbu, Bogdan M. |
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Biodiversity and conservation |
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Strimbu, Bogdan M. Innes, John L. |
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570 ASE 42.90 bkl 43.31 bkl |
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Strimbu, Bogdan M. |
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10.1007/s10531-012-0228-z |
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title_sort |
framework for assessing the impact of human activities on the environment: the impact of forest harvesting and petroleum drilling on habitat of moose (alces alces) and marten (martens americana) |
title_auth |
Framework for assessing the impact of human activities on the environment: the impact of forest harvesting and petroleum drilling on habitat of moose (Alces alces) and marten (Martens americana) |
abstract |
Abstract The environmental changes induced by projects occurring in an area are evaluated by cumulative impact assessments (CIA), which consider the consequences of multiple projects, each insignificant on its own, yet important when evaluated collectively. When future human activities are of interest, the proposed activities are included in CIA using an analytical platform that can supply precise predictions but with asymptotically null accuracy. To compensate for the lack of accuracy we propose a shift in the paradigm governing CIA. The paradigm shift advocates a change in the focus of CIA investigations from the detailed analysis of one unlikely future to the identification of patterns describing the future changes in the environment. To illustrate the paradigm shift, a set of 144 possible and equally likely futures were developed and used to identify the potential impacts of forest harvesting and petroleum drilling on the habitat of moose and marten. The univariate and multivariate analysis of two measures of habitat, namely average habitat suitability index (HSI) and surface of the stands with HSI >0.5, revealed at least three distinct periods in the next 100 years. Multivariate analysis also showed that habitat quality is of immediate importance and marten is sensitive during the first third of the century. Our findings indicate that the spatial and temporal arrangement of the human disturbances could be more important than the magnitude of the disturbance. The attributes associated with significant environmental changes are harvesting age and the investigated environmental elements of an ecosystem, in this case the species habitat. |
abstractGer |
Abstract The environmental changes induced by projects occurring in an area are evaluated by cumulative impact assessments (CIA), which consider the consequences of multiple projects, each insignificant on its own, yet important when evaluated collectively. When future human activities are of interest, the proposed activities are included in CIA using an analytical platform that can supply precise predictions but with asymptotically null accuracy. To compensate for the lack of accuracy we propose a shift in the paradigm governing CIA. The paradigm shift advocates a change in the focus of CIA investigations from the detailed analysis of one unlikely future to the identification of patterns describing the future changes in the environment. To illustrate the paradigm shift, a set of 144 possible and equally likely futures were developed and used to identify the potential impacts of forest harvesting and petroleum drilling on the habitat of moose and marten. The univariate and multivariate analysis of two measures of habitat, namely average habitat suitability index (HSI) and surface of the stands with HSI >0.5, revealed at least three distinct periods in the next 100 years. Multivariate analysis also showed that habitat quality is of immediate importance and marten is sensitive during the first third of the century. Our findings indicate that the spatial and temporal arrangement of the human disturbances could be more important than the magnitude of the disturbance. The attributes associated with significant environmental changes are harvesting age and the investigated environmental elements of an ecosystem, in this case the species habitat. |
abstract_unstemmed |
Abstract The environmental changes induced by projects occurring in an area are evaluated by cumulative impact assessments (CIA), which consider the consequences of multiple projects, each insignificant on its own, yet important when evaluated collectively. When future human activities are of interest, the proposed activities are included in CIA using an analytical platform that can supply precise predictions but with asymptotically null accuracy. To compensate for the lack of accuracy we propose a shift in the paradigm governing CIA. The paradigm shift advocates a change in the focus of CIA investigations from the detailed analysis of one unlikely future to the identification of patterns describing the future changes in the environment. To illustrate the paradigm shift, a set of 144 possible and equally likely futures were developed and used to identify the potential impacts of forest harvesting and petroleum drilling on the habitat of moose and marten. The univariate and multivariate analysis of two measures of habitat, namely average habitat suitability index (HSI) and surface of the stands with HSI >0.5, revealed at least three distinct periods in the next 100 years. Multivariate analysis also showed that habitat quality is of immediate importance and marten is sensitive during the first third of the century. Our findings indicate that the spatial and temporal arrangement of the human disturbances could be more important than the magnitude of the disturbance. The attributes associated with significant environmental changes are harvesting age and the investigated environmental elements of an ecosystem, in this case the species habitat. |
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container_issue |
4 |
title_short |
Framework for assessing the impact of human activities on the environment: the impact of forest harvesting and petroleum drilling on habitat of moose (Alces alces) and marten (Martens americana) |
url |
https://dx.doi.org/10.1007/s10531-012-0228-z |
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author2 |
Innes, John L. |
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up_date |
2024-07-03T19:11:11.765Z |
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score |
7.4010105 |