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Global Change Biology · 2024 · Vol. 30 · Issue 8 · Wiley
Terrestrial gross primary productivity (GPP) is the largest carbon flux in the global carbon cycle and plays a crucial role in terrestrial carbon sequestration. However, historical and future global GPP estimates still vary markedly. In this study, we reduced uncertainties in global GPP estimates by employing an innovative emergent constraint method on remote sensing‐based GPP datasets (RS‐GPP), using ground‐based estimates of...
Global Change Biology · 2021 · Vol. 27 · Issue 17 · Wiley
The regional variability in tundra and boreal carbon dioxide (CO 2 ) fluxes can be high, complicating efforts to quantify sink‐source patterns across the entire region. Statistical models are increasingly used to predict (i.e., upscale) CO 2 fluxes across large spatial domains, but the reliability of different modeling techniques, each with different specifications and assumptions, has not been assessed in detail. Here, we com...
Global Change Biology · 2018 · Vol. 24 · Issue 4 · Wiley
As the applications of Earth system models ( ESM s) move from general climate projections toward questions of mitigation and adaptation, the inclusion of land management practices in these models becomes crucial. We carried out a survey among modeling groups to show an evolution from models able only to deal with land‐cover change to more sophisticated approaches that allow also for the partial integration of land management c...
Global Change Biology · 2014 · Vol. 20 · Issue 11 · Wiley
In this study latent heat flux ( λE ) measurements made at 65 boreal and arctic eddy‐covariance ( EC ) sites were analyses by using the Penman–Monteith equation. Sites were stratified into nine different ecosystem types: harvested and burnt forest areas, pine forests, spruce or fir forests, Douglas‐fir forests, broadleaf deciduous forests, larch forests, wetlands, tundra and natural grasslands. The Penman–Monteith equation was...
Global Change Biology · 2004 · Vol. 10 · Issue 9 · Wiley
The net ecosystem exchange (NEE) of forests represents the balance of gross primary productivity (GPP) and respiration (R). Methods to estimate these two components from eddy covariance flux measurements are usually based on a functional relationship between respiration and temperature that is calibrated for night‐time (respiration) fluxes and subsequently extrapolated using daytime temperature measurements. However, respirati...