A thinning routine for large-scale biogeochemical mechanistic ecosystem models

Thurnher, Christopher; Eastaugh, Chris S; Hasenauer, Hubert

doi:10.1016/j.foreco.2014.02.028

Cited by 1 publication

(2 citation statements)

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“…For this study, we used Biome-BGC version 4.1.2 [29,51] with an improved self-initialization algorithm to mimic undisturbed ecosystems [57,58] and forest management routines e.g., historic land use changes, thinning, clear-cut and planting [30]. Biome-BGC is fully prognostic and does not require detailed forest data for model initialization.…”

Section: The Ecosystem Modelmentioning

confidence: 99%

“…It is initialized by a so called "spin-up" run [27,29,57,59], which mimics the accumulation of soil and vegetation carbon and nitrogen under constant conditions (available climate data recycled, constant preindustrial CO 2 and nitrogen deposition) until a "steady-state" is reached (typically after few thousands of years). Since CO 2 concentration and nitrogen deposition have increased and most forests have experienced some form of forest management, which may have led to forest degradation, the next step is typically to perform "modern-forest-simulations" addressing these changes to realistically mimic the current ecosystem fluxes for a given forest [27,30].…”

Section: The Ecosystem Modelmentioning

confidence: 99%

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The Carbon Dynamics of Dry Tropical Afromontane Forest Ecosystems in the Amhara Region of Ethiopia

Belay

Pötzelsberger

Sisay

et al. 2018

Forests

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Forest degradation due to land use change is a severe problem in Ethiopian Afromontane Forests. We investigated such degradation effects by comparing degraded agricultural land (previously covered with forest) with neighboring natural forests, 40 to 50 years after conversion. We selected four different study areas to cover the eco-climatic conditions of the Amhara region in Northwestern Ethiopia. For a paired-stand comparison we collected soil data on both land use types. We calculated forest biomass to evaluate the biogeochemical-mechanistic ecosystem model Biome-BGC, which is used as a diagnostic tool to assess the site and management impacts on productivity as well as ecosystem carbon and nitrogen accumulation. We applied Biome-BGC to assess rehabilitation options on such degraded land. Afromontane forests in the highlands of Ethiopia showed high soil C stocks, resulting from long lasting biomass accumulation. Removing the tree cover and converting forest areas to crop-or grassland, has led to a loss of 40-85% of the soil C stocks and thus a loss in soil fertility within only 40 to 50 years. Rehabilitation efforts by replanting trees will improve soil fertility, but may require over a thousand years to achieve a similar level in biomass and soil fertility versus the situation prior to the land use change.

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