Classification and mapping forest sites using geographic information system (GIS): a case study in Artvin Province
The productivity of forest sites has been indirectly determined with solo wood production objective in forest management. Forest site productivity should, however, be determined directly in order to implement ecosystem based multipurpose forest management philosophy. This article tackles the problem...
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description | The productivity of forest sites has been indirectly determined with solo wood production objective in forest management. Forest site productivity should, however, be determined directly in order to implement ecosystem based multipurpose forest management philosophy. This article tackles the problem in distinguishing and mapping forest sites using both direct method and indirect method in Genya Mountain located in central of Artvin State Forest Enterprise. About 112 sample plots were designed and distributed over the area. In each sample plot, soil samples were collected and the classical timber inventory measurements were taken. According to direct method, Soil Moisture Regime (SMR) method is preferred due to a water deficiency in the study area. Water holding capacity was used as an essential criterion for the classification of the forest site. Forest site classifications were assigned regarding the physiographic factors such as landform, aspect, and slope. Five different forest sites classes; dry, moderate fresh, fresh, humid and hygric were determined. According to direct method, the guiding curve was used to generate anamorphic site index (SI) equations and three site index classes; good (SI=I-II), medium (SI=III) and low (SI=IV-V) were determined. Some important differences between the methods were realized. The forest sites determined with site index estimation method indicate that site index I and II is 505.99 ha, III 1095.79 ha and IV and V 992.95 ha, whereas forest sites determined with direct method related to dry site of 937.58 ha, moderate fresh site of 931.90 ha, fresh site of 1,797.71 ha, humid site of 80.48 ha and hygric site of 356.55 ha. The forest site maps of both methods were created using GIS functions. The forest sites of open and degraded areas should be determined according to direct method. |
doi_str_mv | 10.1007/s10661-007-9735-x |
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Forest site productivity should, however, be determined directly in order to implement ecosystem based multipurpose forest management philosophy. This article tackles the problem in distinguishing and mapping forest sites using both direct method and indirect method in Genya Mountain located in central of Artvin State Forest Enterprise. About 112 sample plots were designed and distributed over the area. In each sample plot, soil samples were collected and the classical timber inventory measurements were taken. According to direct method, Soil Moisture Regime (SMR) method is preferred due to a water deficiency in the study area. Water holding capacity was used as an essential criterion for the classification of the forest site. Forest site classifications were assigned regarding the physiographic factors such as landform, aspect, and slope. Five different forest sites classes; dry, moderate fresh, fresh, humid and hygric were determined. According to direct method, the guiding curve was used to generate anamorphic site index (SI) equations and three site index classes; good (SI=I-II), medium (SI=III) and low (SI=IV-V) were determined. Some important differences between the methods were realized. The forest sites determined with site index estimation method indicate that site index I and II is 505.99 ha, III 1095.79 ha and IV and V 992.95 ha, whereas forest sites determined with direct method related to dry site of 937.58 ha, moderate fresh site of 931.90 ha, fresh site of 1,797.71 ha, humid site of 80.48 ha and hygric site of 356.55 ha. The forest site maps of both methods were created using GIS functions. The forest sites of open and degraded areas should be determined according to direct method.</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-007-9735-x</identifier><identifier>PMID: 17564804</identifier><identifier>CODEN: EMASDH</identifier><language>eng</language><publisher>Dordrecht: Dordrecht : Springer Netherlands</publisher><subject>Animal, plant and microbial ecology ; Applied ecology ; Atmospheric Protection/Air Quality Control/Air Pollution ; Biological and medical sciences ; Case studies ; Classification ; Direct method ; Drying ; Earth and Environmental Science ; Ecologists ; Ecology ; Ecosystem ; Ecosystems ; Ecotoxicology ; Ecotoxicology, biological effects of pollution ; Environment ; Environmental Management ; Environmental monitoring ; Environmental Monitoring - methods ; Forest management ; Forest sites classification ; Forestry ; Forests ; Fundamental and applied biological sciences. 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General forest ecology ; Geographic Information Systems ; GIS ; Indirect method ; Mathematical analysis ; Monitoring/Environmental Analysis ; Mountains ; Natural resources ; Organizational Case Studies ; Production capacity ; Productivity ; Remote sensing ; Satellite navigation systems ; Soil moisture ; Studies ; Sustainable development ; Timber ; Topography ; Trees - classification ; Turkey ; Vegetation ; water holding capacity</subject><ispartof>Environmental monitoring and assessment, 2008-02, Vol.137 (1-3), p.149-161</ispartof><rights>Springer Science+Business Media B.V. 2007</rights><rights>2008 INIST-CNRS</rights><rights>Springer Science+Business Media B.V. 2008</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c646t-22accb089951a7457a543a25671d39770c9e7c5dc8683f11e9938768f6e169713</citedby><cites>FETCH-LOGICAL-c646t-22accb089951a7457a543a25671d39770c9e7c5dc8683f11e9938768f6e169713</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10661-007-9735-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10661-007-9735-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19997299$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17564804$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Altun, Lokman</creatorcontrib><creatorcontrib>Baskent, Emin Zeki</creatorcontrib><creatorcontrib>Gunlu, Alkan</creatorcontrib><creatorcontrib>Kadiogullari, Ali Ihsan</creatorcontrib><title>Classification and mapping forest sites using geographic information system (GIS): a case study in Artvin Province</title><title>Environmental monitoring and assessment</title><addtitle>Environ Monit Assess</addtitle><addtitle>Environ Monit Assess</addtitle><description>The productivity of forest sites has been indirectly determined with solo wood production objective in forest management. Forest site productivity should, however, be determined directly in order to implement ecosystem based multipurpose forest management philosophy. This article tackles the problem in distinguishing and mapping forest sites using both direct method and indirect method in Genya Mountain located in central of Artvin State Forest Enterprise. About 112 sample plots were designed and distributed over the area. In each sample plot, soil samples were collected and the classical timber inventory measurements were taken. According to direct method, Soil Moisture Regime (SMR) method is preferred due to a water deficiency in the study area. Water holding capacity was used as an essential criterion for the classification of the forest site. Forest site classifications were assigned regarding the physiographic factors such as landform, aspect, and slope. Five different forest sites classes; dry, moderate fresh, fresh, humid and hygric were determined. According to direct method, the guiding curve was used to generate anamorphic site index (SI) equations and three site index classes; good (SI=I-II), medium (SI=III) and low (SI=IV-V) were determined. Some important differences between the methods were realized. The forest sites determined with site index estimation method indicate that site index I and II is 505.99 ha, III 1095.79 ha and IV and V 992.95 ha, whereas forest sites determined with direct method related to dry site of 937.58 ha, moderate fresh site of 931.90 ha, fresh site of 1,797.71 ha, humid site of 80.48 ha and hygric site of 356.55 ha. The forest site maps of both methods were created using GIS functions. The forest sites of open and degraded areas should be determined according to direct method.</description><subject>Animal, plant and microbial ecology</subject><subject>Applied ecology</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Biological and medical sciences</subject><subject>Case studies</subject><subject>Classification</subject><subject>Direct method</subject><subject>Drying</subject><subject>Earth and Environmental Science</subject><subject>Ecologists</subject><subject>Ecology</subject><subject>Ecosystem</subject><subject>Ecosystems</subject><subject>Ecotoxicology</subject><subject>Ecotoxicology, biological effects of pollution</subject><subject>Environment</subject><subject>Environmental Management</subject><subject>Environmental monitoring</subject><subject>Environmental Monitoring - methods</subject><subject>Forest management</subject><subject>Forest sites classification</subject><subject>Forestry</subject><subject>Forests</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects</subject><subject>General forest ecology</subject><subject>Generalities. Production, biomass. Quality of wood and forest products. 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Forest site productivity should, however, be determined directly in order to implement ecosystem based multipurpose forest management philosophy. This article tackles the problem in distinguishing and mapping forest sites using both direct method and indirect method in Genya Mountain located in central of Artvin State Forest Enterprise. About 112 sample plots were designed and distributed over the area. In each sample plot, soil samples were collected and the classical timber inventory measurements were taken. According to direct method, Soil Moisture Regime (SMR) method is preferred due to a water deficiency in the study area. Water holding capacity was used as an essential criterion for the classification of the forest site. Forest site classifications were assigned regarding the physiographic factors such as landform, aspect, and slope. Five different forest sites classes; dry, moderate fresh, fresh, humid and hygric were determined. According to direct method, the guiding curve was used to generate anamorphic site index (SI) equations and three site index classes; good (SI=I-II), medium (SI=III) and low (SI=IV-V) were determined. Some important differences between the methods were realized. The forest sites determined with site index estimation method indicate that site index I and II is 505.99 ha, III 1095.79 ha and IV and V 992.95 ha, whereas forest sites determined with direct method related to dry site of 937.58 ha, moderate fresh site of 931.90 ha, fresh site of 1,797.71 ha, humid site of 80.48 ha and hygric site of 356.55 ha. The forest site maps of both methods were created using GIS functions. The forest sites of open and degraded areas should be determined according to direct method.</abstract><cop>Dordrecht</cop><pub>Dordrecht : Springer Netherlands</pub><pmid>17564804</pmid><doi>10.1007/s10661-007-9735-x</doi><tpages>13</tpages></addata></record> |
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subjects | Animal, plant and microbial ecology Applied ecology Atmospheric Protection/Air Quality Control/Air Pollution Biological and medical sciences Case studies Classification Direct method Drying Earth and Environmental Science Ecologists Ecology Ecosystem Ecosystems Ecotoxicology Ecotoxicology, biological effects of pollution Environment Environmental Management Environmental monitoring Environmental Monitoring - methods Forest management Forest sites classification Forestry Forests Fundamental and applied biological sciences. Psychology General aspects General forest ecology Generalities. Production, biomass. Quality of wood and forest products. General forest ecology Geographic Information Systems GIS Indirect method Mathematical analysis Monitoring/Environmental Analysis Mountains Natural resources Organizational Case Studies Production capacity Productivity Remote sensing Satellite navigation systems Soil moisture Studies Sustainable development Timber Topography Trees - classification Turkey Vegetation water holding capacity |
title | Classification and mapping forest sites using geographic information system (GIS): a case study in Artvin Province |
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