Modeling the fine root biomass dispersion using a special influence function

This paper presents a successful application of techniques from the adjustment theory for modeling interaction in fine root biomass dispersion. Using special distance and species dependent weightings the influence function for fine root biomass dispersion of two species is estimated. Using the estim...

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Main Authors: Wälder O, Wälder K
Format: Article
Language:English
Published: Italian Society of Silviculture and Forest Ecology (SISEF) 2008-11-01
Series:iForest - Biogeosciences and Forestry
Subjects:
Online Access:https://iforest.sisef.org/contents/?id=ifor0469-0010141
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author Wälder O
Wälder K
author_facet Wälder O
Wälder K
author_sort Wälder O
collection DOAJ
description This paper presents a successful application of techniques from the adjustment theory for modeling interaction in fine root biomass dispersion. Using special distance and species dependent weightings the influence function for fine root biomass dispersion of two species is estimated. Using the estimated influence functions the fine root biomass is predicted at the locations where the real data was sampled. Goodness of fit of our model is evaluated by comparing sample values and predicted values. However, the results show successful coincidence between sampled and predicted values. Finally, we present an example for the root dispersion in a mixed stand of beeches and spruces in Saxony/Germany.
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spelling doaj.art-24f8d0e0829a41b8a5c956e0cda0d7da2022-12-22T00:50:18ZengItalian Society of Silviculture and Forest Ecology (SISEF)iForest - Biogeosciences and Forestry1971-74581971-74582008-11-011114114410.3832/ifor0469-0010141469Modeling the fine root biomass dispersion using a special influence functionWälder O0Wälder K1Institute for Cartography, Technical University of Dresden, Mommsenstrasse 13, D-01062 Dresden (Germany)Institute for Stochastics, Freiberg University of Mining and Technology, Akademiestrasse 6, D-09596 Freiberg (Germany)This paper presents a successful application of techniques from the adjustment theory for modeling interaction in fine root biomass dispersion. Using special distance and species dependent weightings the influence function for fine root biomass dispersion of two species is estimated. Using the estimated influence functions the fine root biomass is predicted at the locations where the real data was sampled. Goodness of fit of our model is evaluated by comparing sample values and predicted values. However, the results show successful coincidence between sampled and predicted values. Finally, we present an example for the root dispersion in a mixed stand of beeches and spruces in Saxony/Germany.https://iforest.sisef.org/contents/?id=ifor0469-0010141Forest effectsFine root biomassInteractionInfluence function
spellingShingle Wälder O
Wälder K
Modeling the fine root biomass dispersion using a special influence function
iForest - Biogeosciences and Forestry
Forest effects
Fine root biomass
Interaction
Influence function
title Modeling the fine root biomass dispersion using a special influence function
title_full Modeling the fine root biomass dispersion using a special influence function
title_fullStr Modeling the fine root biomass dispersion using a special influence function
title_full_unstemmed Modeling the fine root biomass dispersion using a special influence function
title_short Modeling the fine root biomass dispersion using a special influence function
title_sort modeling the fine root biomass dispersion using a special influence function
topic Forest effects
Fine root biomass
Interaction
Influence function
url https://iforest.sisef.org/contents/?id=ifor0469-0010141
work_keys_str_mv AT waldero modelingthefinerootbiomassdispersionusingaspecialinfluencefunction
AT walderk modelingthefinerootbiomassdispersionusingaspecialinfluencefunction