Large-Scale Forest Modeling: Deducing Stand Density from Inventory Data
While effects of thinning and natural disturbances on stand density play a central role for forest growth, their representation in large-scale studies is restricted by both model and data availability. Here a forest growth model was combined with a newly developed generic thinning model to estimate...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
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| Series: | International Journal of Forestry Research |
| Online Access: | http://dx.doi.org/10.1155/2012/934974 |
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| author | Oskar Franklin Elena Moltchanova Florian Kraxner Rupert Seidl Hannes Böttcher Dimitry Rokityiansky Michael Obersteiner |
| author_facet | Oskar Franklin Elena Moltchanova Florian Kraxner Rupert Seidl Hannes Böttcher Dimitry Rokityiansky Michael Obersteiner |
| author_sort | Oskar Franklin |
| collection | DOAJ |
| description | While effects of thinning and natural disturbances on stand density play a central role for forest growth, their representation in large-scale studies is restricted by both model and data availability. Here a forest growth model was combined with a newly developed generic thinning model to estimate stand density and site productivity based on widely available inventory data (tree species, age class, volume, and increment). The combined model successfully coupled biomass, increment, and stand closure (=stand density/self-thinning limited stand density), as indicated by cross-validation against European-wide inventory data. The improvement in model performance attained by including variable stand closure among age cohorts compared to a fixed closure suggests that stand closure is an important parameter for accurate forest growth modeling also at large scales. |
| format | Article |
| id | doaj-art-f19b94a0aaa9482e8316fd2beee87f33 |
| institution | Kabale University |
| issn | 1687-9368 1687-9376 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Forestry Research |
| spelling | doaj-art-f19b94a0aaa9482e8316fd2beee87f332025-02-03T01:23:42ZengWileyInternational Journal of Forestry Research1687-93681687-93762012-01-01201210.1155/2012/934974934974Large-Scale Forest Modeling: Deducing Stand Density from Inventory DataOskar Franklin0Elena Moltchanova1Florian Kraxner2Rupert Seidl3Hannes Böttcher4Dimitry Rokityiansky5Michael Obersteiner6IIASA International Institute for Applied Systems Analysis, 2361 Laxenburg, AustriaIIASA International Institute for Applied Systems Analysis, 2361 Laxenburg, AustriaIIASA International Institute for Applied Systems Analysis, 2361 Laxenburg, AustriaDepartment of Forest and Soil Sciences, Institute of Silviculture, University of Natural Resources and Applied Life Sciences (BOKU) Vienna, Peter Jordan Straße 82, 1190 Wien, AustriaIIASA International Institute for Applied Systems Analysis, 2361 Laxenburg, AustriaIIASA International Institute for Applied Systems Analysis, 2361 Laxenburg, AustriaIIASA International Institute for Applied Systems Analysis, 2361 Laxenburg, AustriaWhile effects of thinning and natural disturbances on stand density play a central role for forest growth, their representation in large-scale studies is restricted by both model and data availability. Here a forest growth model was combined with a newly developed generic thinning model to estimate stand density and site productivity based on widely available inventory data (tree species, age class, volume, and increment). The combined model successfully coupled biomass, increment, and stand closure (=stand density/self-thinning limited stand density), as indicated by cross-validation against European-wide inventory data. The improvement in model performance attained by including variable stand closure among age cohorts compared to a fixed closure suggests that stand closure is an important parameter for accurate forest growth modeling also at large scales.http://dx.doi.org/10.1155/2012/934974 |
| spellingShingle | Oskar Franklin Elena Moltchanova Florian Kraxner Rupert Seidl Hannes Böttcher Dimitry Rokityiansky Michael Obersteiner Large-Scale Forest Modeling: Deducing Stand Density from Inventory Data International Journal of Forestry Research |
| title | Large-Scale Forest Modeling: Deducing Stand Density from Inventory Data |
| title_full | Large-Scale Forest Modeling: Deducing Stand Density from Inventory Data |
| title_fullStr | Large-Scale Forest Modeling: Deducing Stand Density from Inventory Data |
| title_full_unstemmed | Large-Scale Forest Modeling: Deducing Stand Density from Inventory Data |
| title_short | Large-Scale Forest Modeling: Deducing Stand Density from Inventory Data |
| title_sort | large scale forest modeling deducing stand density from inventory data |
| url | http://dx.doi.org/10.1155/2012/934974 |
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