uid=BNZ,o=lter,dc=ecoinformatics,dc=org all public read knb-lter-bnz.89.10 Lola K. Oliver Laboratory Supervisor, Forest Soils Lab

Forest Soils Laboratory University of Alaska Fairbanks O'Neill Bldg Fairbanks AK 99775-7200 United States

(907) 474-7114 (907) 474-6184 lkoliver@alaska.edu Bonanza Creek LTER Data Manager

Boreal Ecology Cooperative Research Unit University of Alaska Fairbanks P.O. Box 756780 Fairbanks AK 99775 USA

907-474-6364 907-474-6251 jpdowning@alaska.edu http://www.lter.uaf.edu John Yarie Professor of Silviculture

Forest Soils Laboratory; Department of Forest Sciences; SNRAS; University of Alaska Fairbanks Fairbanks AK 99775-7200 United States

(907) 474-5650 (907) 474-6184 Associated investigator 1999-01-07 The nitrogen productivity (N-productivity) concept represents one approach for development of algorithms for expansion from the individual tree to stand or landscape levels of estimation of primary production across the earth’s surface. A simple equation based on the N-productivity concept can be used to estimate plant production from the individual tree to stand level geographic units. Maximum N-productivity equations were developed for balsam poplar, white birch, and white spruce on an individual tree basis for the taiga of interior Alaska. Maximum N-productivity equations were also developed for aspen, balsam poplar, and white spruce on a unit area basis (m2). A single equation for all species sampled and individual stands was developed on a unit area basis. The calculated productivity for test stands was in close agreement to the measured productivity from the landscape perspective. The set of equations presented can be used for calculation of taiga forest productivity in a geographic model developed within a GIS software package in which the landscape unit is an integral part of the model structure. aboveground production Alaska aspen balsam poplar landscape nitrogen productivity taiga white birch white spruce Biogeochemistry

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http://www.lter.uaf.edu/data_detail.cfm?datafile_pkey=89 Site information unavailable -148.3790685 -148.1468545 64.7666796 64.6719571 1989-06-01 1993-09-30

Completed

Bonanza Creek LTER Data Manager

Boreal Ecology Cooperative Research Unit University of Alaska Fairbanks P.O. Box 756780 Fairbanks AK 99775 USA

907-474-6364 907-474-6251 jpdowning@alaska.edu http://www.lter.uaf.edu Bonanza Creek LTER

Boreal Ecology Cooperative Research Unit University of Alaska Fairbanks P.O. Box 756780 Fairbanks AK 99775 USA

907-474-6364 907-474-6251 Bonanza Creek LTER

A total of 239 white spruce(Picea glauca) , 24 aspen (Populus tremuloides), 58 white birch(Betula papyrifera), and 33 balsam poplar(Populus balsamifera) trees were available for calculation of the observed N productivity. The trees were randomly selected from a number of successional sites within the Bonanza Creek Experimental Forests(BNZ) Long-Term Ecological Research(LTER) program(unpublished data available on BNZ LTER World Wide Web home page) and Yarie and Van Cleve(1996). N productivity was calculated based on (1) midseason , green foliage(dry mass) N content for 1989 and (2) aboveground tree production based on the difference in calculated biomass between 1989 and 1993 converted to a yearly average. N productivity was calculated for all the sampled trees. The trees that represented maximum N productivity values for 2-cm diameter classes were selected for the N productivity analysis. This subset included 33 white spruce, 10 aspen, 14 white birch, and 26 balsam poplar, and represent the maximum N productivity. N productivity for individual trees was calculated by dividing estimated aboveground production by the foliar N content. Aboveground tree biomass was calculated by determining stemwood and foliage biomass for the hardwoods and total biomass for white spruce in 1993 and 1989. The biomass estimates were based on a set of allometric equations developed from sample trees within interior Alaska (Yarie et al., unpublished data). Annual production for hardwoods was calculated by subtracting the two stemwood biomass values and dividing by the number of years between the estimates of biomass. Foliage production for hardwoods was estimated as the biomass in both years and divided by two to obtain an average. Annual production for white spruce was estimated by calculating the difference in total biomass in 1993 and 1989 and then dividing by the number of years . This will result in a small decrease in total aboveground production for white spruce because litterfall was not included . This yielded a data set that was not associated with a specific landscapes unit but instead represented a range of site qualities.

geoReference 1989-06-01 1993-09-30

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98_biomassN.txt Measured N productivity for the control plots in the sites UP2, UP3, FP2, FP3, and FP4 of the BNZ-LTER study. The foliage biomass and foliage nitrogen were estimated in 1989. The annual production is an estimate of the production that occurred from 1989 through 1993 divided into an annual basis. 98_biomassN.txt 12 \n \n column \t http://metacat.lternet.edu/das/dataAccessServlet?docid=knb-lter-bnz..&urlTail=/ascii/files/98_biomassN.txt Site Site Site ID string Site ID Species Species Species Code string Species Code abvgAnnualProd abvgAnnualProd Aboveground annual production float kilogramsPerSquareMeter real foliageBiomass foliageBiomass Foliage Biomass float kilogramsPerSquareMeter real Foliagenitrogen(%) Foliagenitrogen(%) Percent of foliage nitrogen float dimensionless real Nproductivity(kg growth/kg foliarN) Nproductivity(kg growth/kg foliarN) Nitrogen productivity(kg growth/kg foliarN) float kilogram real