Evaluating different spatial interpolation methods and modeling techniques for estimating spatial forest site index in pure beech forests: a case study from Turkey-Reference-Cited by-同舟云学术

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

Published:2019-12-18 Issue:1 Volume:192 Page:
ISSN:0167-6369
Container-title:Environmental Monitoring and Assessment
language:en
Short-container-title:Environ Monit Assess

Author:

Günlü Alkan,Bulut Sinan^ORCID,Keleş Sedat,Ercanlı İlker

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s10661-019-8028-5.pdf

Reference48 articles.

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2. Aertsen, W., Kint, V., Van Orshoven, J., & Muys, B. (2011). Evaluation of modelling techniques for forest site productivity prediction in contrasting ecoregions using stochastic multicriteria acceptability analysis (SMAA). Environmental Modelling & Software, 26, 929–937.

3. Aertsen, W., Kint, V., Von Wilpert, K., Zirlewagen, D., Muys, B., & Van Orshoven, J. (2012). Comparison of location-based, attribute-based and hybrid regionalization techniques for mapping forest site productivity. Forestry: An International Journal of Forest Research, 85, 539–550.

4. Altun, L., Başkent, E. Z., Günlü, A., & Kadıoğulları, A. İ. (2008). Classification and mapping forest sites using geographic information system (GIS): A case study in Artvin Province. Environment Monitoring and Assessment, 137, 149–161.

5. Arp, P. A. (1999). Soils for plant growth field and laboratory manuals Faculty of Forestry and Environmental Management University of New Brunswick Canada.

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