Literature DB >> 17564804

Classification and mapping forest sites using geographic information system (GIS): a case study in Artvin Province.

Lokman Altun1, Emin Zeki Baskent, Alkan Gunlu, Ali Ihsan Kadiogullari.   

Abstract

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.

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Year:  2007        PMID: 17564804     DOI: 10.1007/s10661-007-9735-x

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  3 in total

1.  Forest site classification using Landsat 7 ETM data: a case study of Maçka-Ormanüstü forest, Turkey.

Authors:  Alkan Günlü; Emin Zeki Başkent; Ali Ihsan Kadioğullari; Lokman Altun
Journal:  Environ Monit Assess       Date:  2008-05-22       Impact factor: 2.513

2.  Evaluating different spatial interpolation methods and modeling techniques for estimating spatial forest site index in pure beech forests: a case study from Turkey.

Authors:  Alkan Günlü; Sinan Bulut; Sedat Keleş; İlker Ercanlı
Journal:  Environ Monit Assess       Date:  2019-12-18       Impact factor: 2.513

3.  Classifying Oriental Beech (Fagus orientalis Lipsky.) Forest Sites Using Direct, Indirect and Remote Sensing Methods: A Case Study from Turkey.

Authors:  Alkan Günlü; Emin Zeki Baskent; Ali İhsan Kadiogullari; İlker Ercanli
Journal:  Sensors (Basel)       Date:  2008-04-09       Impact factor: 3.576

  3 in total

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