Dataset Information

Biomass data for young, planted Norway spruce (Picea abies (L.) Karst.) trees in Eastern Carpathians of Romania.

ABSTRACT: Tree biomass data are essential for developing the biomass allometric models that are necessary for estimating carbon stock and for monitoring changes in forest biomass. In this 'data article' biomass records are presented for 240 Norway spruce trees (Picea abies (L.) Karst.). Trees were between 4 and 15 years of age and were sampled from 24 pure plantations located in Eastern Carpathians of Romania. Ten trees were sampled from each plantation using a cluster sampling method. For each tree, diameter at root collar height (D) and tree height (H) are provided as potential predictors for biomass. Oven-dried biomass is also recorded for the following partitions: stem (ST); branches (BR); needles (ND); roots (RT); as well as their combinations representing total aboveground biomass (AGB) and overall tree biomass (TB). Sampled trees were between 0.6 and 10.0?cm in diameter and between 53.0 and 552.0?cm in height. Total tree biomass ranged between 0.019 and 15.53?kg/tree. This dataset is related to the research article entitled "Site-effects on biomass allometric models for early growth plantations of Norway spruce (Picea abies (L.) Karst.)" (Dutc? et al., 2018) [1].

SUBMITTER: Dutca I

PROVIDER: S-EPMC6141963 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

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Biomass data for young, planted Norway spruce (<i>Picea abies</i> (L.) Karst.) trees in Eastern Carpathians of Romania.

Dutcă Ioan I

Data in brief 20180719

Tree biomass data are essential for developing the biomass allometric models that are necessary for estimating carbon stock and for monitoring changes in forest biomass. In this 'data article' biomass records are presented for 240 Norway spruce trees (<i>Picea abies</i> (L.) Karst.). Trees were between 4 and 15 years of age and were sampled from 24 pure plantations located in Eastern Carpathians of Romania. Ten trees were sampled from each plantation using a cluster sampling method. For each tre ...[more]

PMID: 30246101

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Project description:Highlights • Daylength differences best reflected the nonlinear response of Norway spruce to transfer.• Annual temperature sum over 5 °C and precipitation during the vegetation period were climatic variables important for transfer pattern explanation.• Long northward transfers (4-5° latitude) seem to be optimal for relatively mild sites in southern parts of Fennoscandia.• And shorter northward transfers (2-4° latitude) for harsher northern sites. Norway spruce is a major industrial tree species in Fennoscandia and future productivity of the species must be secured by matching the variation in adaptation of the species with suitable sites for optimized performance. An appropriate transfer model for forest reproductive material (FRM) is crucial for regeneration of productive forests in the changing climatic conditions that are predicted to occur in Fennoscandia. We have developed a transfer model for prediction of height of Norway spruce in Norway, Sweden, and Finland, using data acquired from 438 progeny and provenance trials with 1919 genetic entries of local and transferred origins. Transfer of genetic material at a given site was expressed in terms of the difference in daylength (photoperiod) between the site and its origin. This variable best reflected the nonlinear response to transfer that has been commonly reported in previous studies. Apart from the transfer variable, the height prediction model included the age of material when height measurements were acquired, annual temperature sum over 5 °C, precipitation during the vegetation period, and interaction terms between test site and transfer variables. The results show that long northward transfers (4-5° latitude) seem to be optimal for relatively mild sites in southern parts of the countries where growing season is longer, and shorter northward transfers (2-4° latitude) for harsher northern sites with shorter growing seasons. The transfer model also predicts that southward transfers of Norway spruce would result in height growth reductions. The developed model provides foundations for development of common or national recommendations for genetically improving Norway spruce material in Fennoscandia.

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Dataset Information

Biomass data for young, planted Norway spruce (Picea abies (L.) Karst.) trees in Eastern Carpathians of Romania.

Publications

Biomass data for young, planted Norway spruce (<i>Picea abies</i> (L.) Karst.) trees in Eastern Carpathians of Romania.

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