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Spatial variability of aboveground net primary production for a forested landscape in northern Wisconsin

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Abstract:

Quantifying forest net primary production (NPP) is critical to understanding the global carbon cycle because forests are responsible for a large portion of the total terrestrial NPP. The objectives of this study were to measure above ground NPP (NPPA) for a land surface in northern Wisconsin, examine the spatial patterns of NPPA and its components, and correlate NPPA with vegetation cover types and leaf area index. Mean NPPA for aspen, hardwoods, mixed forest, upland conifers, nonforested wetlands, and forested wetlands was 7.8, 7.2, 5.7, 4.9, 5.0, and 4.5 t dry mass·ha–1·year–1, respectively. There were significant (p = 0.01) spatial patterns in wood, foliage, and understory NPP components and NPPA (p = 0.03) when the vegetation cover type was included in the model. The spatial range estimates for the three NPP components and NPPA differed significantly from each other, suggesting that different factors are influencing the components of NPP. NPPA was significantly correlated with leaf area index (p = 0.01) for the major vegetation cover types. The mean NPPA for the 3 km × 2 km site was 5.8 t dry mass·ha–1·year–1.

La quantification de la production primaire nette (PPN) des forêts est primordiale pour comprendre le cycle global du carbone parce que les forêts sont responsables d'une forte proportion de la PPN terrestre totale. Les objectifs de cette étude consistaient à mesurer la PPN épigée (PPNE) pour un territoire du Nord du Wisconsin, à examiner le comportement spatial de la PPNE et de ses composantes et à corréler la PPNE au type de couvert végétal et à l'indice de surface foliaire. La PPNE moyenne pour la forêt de peuplier, la forêt feuillue, la forêt mélangée, les conifères sur hautes terres, les terrains marécageux sans arbres et les terrains marécageux boisés était respectivement de 7,8, 7,2, 5,7, 4,9, 5,0 et 4,5 t·ha–1·an–1 de matière anhydre. Il y avait des variations spatiales significatives (p <= 0,01) dans les composantes bois, feuillage et sous-étage de la PPN et dans la PPNE (p <= 0,03) lorsque le type de couvert végétal était inclus dans le modèle. Les estimations de l'intervalle de variation spatiale pour les trois composantes de la PPN et pour la PPNE étaient significativement différentes les unes des autres, indiquant que différents facteurs influencent les composantes de la PPN. La PPNE était significativement corrélée avec l'indice de surface foliaire (p <= 0,01) dans le cas des principaux types de couvert végétal. La PPNE moyenne pour le site de 3 km × 2 km était de 5,8 t·ha–1·an–1 de matière anhydre.[Traduit par la Rédaction]

Document Type: Research Article

Publication date: 2003-10-01

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  • Published since 1971, this monthly journal features articles, reviews, notes and commentaries on all aspects of forest science, including biometrics and mensuration, conservation, disturbance, ecology, economics, entomology, fire, genetics, management, operations, pathology, physiology, policy, remote sensing, social science, soil, silviculture, wildlife and wood science, contributed by internationally respected scientists. It also publishes special issues dedicated to a topic of current interest.
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