Estimating net primary production of boreal forests in Finland and Sweden from field data and remote sensing

Daolan Zheng (Corresponding Author), Stephen Prince, Tuomas Häme

Research output: Contribution to journalArticleScientificpeer-review

24 Citations (Scopus)

Abstract

We calculated annual mean stem volume increment (AMSVI) and total litter fall to produce forest net primary production (NPP) maps at 1‐km2 and half‐degree resolutions in Finland and Sweden. We used a multi‐scale methodology to link field inventory data reported at plot and forestry district levels through a remotely sensed total plant biomass map derived from 1‐km2 AVHRR image. Total litter fall was estimated as function of elevation and latitude. Leaf litter fall, a surrogate for fine root production, was estimated from total litter fall by forest type. The gridded NPP estimates agreed well with previously reported NPP values, based on point measurements. Regional NPP increases from northeast to southwest. It is positively related to annual mean temperature and annual mean total precipitation (strongly correlated with temperature) and is negatively related to elevation at broad scale. Total NPP (TNPP) values for representative cells selected based on three criteria were highly correlated with simulated values from a process‐based model (CEVSA) at 0.5°× 0.5° resolution. At 1‐km2 resolution, mean above‐ground NPP in the region was 408 g/m2/yr ranging from 172 to 1091 (standard deviation (SD) = 134). Mean TNPP was 563 (252 to 1426, SD = 176). Ranges and SD were reduced while the mean values of the estimated NPP stayed almost constant as cell size increased from 1‐km2 to 0.5°× 0.5°, as expected. Nordic boreal forests seem to have lower productivity among the world boreal forests.

Original languageEnglish
Pages (from-to)161 - 170
Number of pages10
JournalJournal of Vegetation Science
Volume15
Issue number2
DOIs
Publication statusPublished - 2004
MoE publication typeA1 Journal article-refereed

Fingerprint

net primary production
boreal forests
boreal forest
Finland
remote sensing
Sweden
primary productivity
litterfall
forest products
fine root
leaf litter
forest types
AVHRR
plant litter
forestry
temperature
stem
cells
productivity
stems

Keywords

  • above-ground production
  • annual mean stem volume increment
  • grid cell
  • increment
  • litter fall
  • NPP
  • remote sensing

Cite this

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title = "Estimating net primary production of boreal forests in Finland and Sweden from field data and remote sensing",
abstract = "We calculated annual mean stem volume increment (AMSVI) and total litter fall to produce forest net primary production (NPP) maps at 1‐km2 and half‐degree resolutions in Finland and Sweden. We used a multi‐scale methodology to link field inventory data reported at plot and forestry district levels through a remotely sensed total plant biomass map derived from 1‐km2 AVHRR image. Total litter fall was estimated as function of elevation and latitude. Leaf litter fall, a surrogate for fine root production, was estimated from total litter fall by forest type. The gridded NPP estimates agreed well with previously reported NPP values, based on point measurements. Regional NPP increases from northeast to southwest. It is positively related to annual mean temperature and annual mean total precipitation (strongly correlated with temperature) and is negatively related to elevation at broad scale. Total NPP (TNPP) values for representative cells selected based on three criteria were highly correlated with simulated values from a process‐based model (CEVSA) at 0.5°× 0.5° resolution. At 1‐km2 resolution, mean above‐ground NPP in the region was 408 g/m2/yr ranging from 172 to 1091 (standard deviation (SD) = 134). Mean TNPP was 563 (252 to 1426, SD = 176). Ranges and SD were reduced while the mean values of the estimated NPP stayed almost constant as cell size increased from 1‐km2 to 0.5°× 0.5°, as expected. Nordic boreal forests seem to have lower productivity among the world boreal forests.",
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Estimating net primary production of boreal forests in Finland and Sweden from field data and remote sensing. / Zheng, Daolan (Corresponding Author); Prince, Stephen; Häme, Tuomas.

In: Journal of Vegetation Science, Vol. 15, No. 2, 2004, p. 161 - 170.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

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AU - Zheng, Daolan

AU - Prince, Stephen

AU - Häme, Tuomas

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JO - Journal of Vegetation Science

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