Uncertainty of biomass contributions from agriculture and forestry to renewable energy resources under climate change

Gutsch, Martin; Lasch-Born, Petra; Lüttger, Andrea; Suckow, Felicitas; Murawski, Aline; Pilz, Tobias

doi:10.1127/metz/2015/0532

Cited by 5 publications

(1 citation statement)

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“…Even though uncertainties in model parametrization for all species and the uncertainties in model structure contribute to partly insufficient results (Medlyn et al, 2005b) we argue that it is encouraging to see how well 4C performs overall across these very different sites. In agreement with other recent studies with 4C (Borys et al, 2016;Gutsch et al, 2015a;Gutsch et al, 2016), this study underlines the applicability of 4C to its main research areas: (1) studies on climate impacts on managed forest ecosystems, (2) trade-off studies on forest-based ecosystem services, (3) studies on forest management strategies and risk analysis, (4) carbon accounting of forest-based bioenergy, and (5) studies on understanding the underlying functioning of forest ecosystems.…”

Section: Applicability and Reliability Of 4csupporting

confidence: 89%

Description and evaluation of the process-based forest model 4C at four European forest sites

Lasch-Born¹,

Suckow²,

Reyer³

et al. 2019

Preprint

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Abstract. The process-based model 4C (FORESEE) has been developed over the past twenty years. The objective of this paper is to give a comprehensive description of the main features of 4C and to present an evaluation of the model at four different forest sites across Europe. The evaluation was focused on growth parameters, carbon, water and heat fluxes. The main data source for the evaluation was the PROFOUND database. We applied different statistical metrics of evaluation and compared the inter-annual and inter-monthly variability of observed and simulated carbon and water fluxes. The ability to reproduce forest growth differs from site to site and is best for the pine stand site Peitz. The model's performance in simulating carbon and water fluxes was very satisfactory on daily and monthly time scales in contrast to the annual time scale. This underlines the conclusion that processes that are either not represented in dependence on on medium- to long-term dynamic influences such as allocation, or those that are not represented at all but may have a large impact at specific sites – such as the dynamics of non-structural carbohydrates (NSC) and ground vegetation growth – need to be elaborated for general forest growth investigations under climate change. On the other hand, 4C has shown a great potential for improvement since it emphasizes the representation of boundary conditions such as soil temperature at different depths. Therefore, more spatial differentiation of processes such as organ-specific respiration should easily be accomplished. Nonetheless, by using the PROFOUND database we were able to demonstrate the applicability and reliability of 4C.

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Section: Applicability and Reliability Of 4csupporting

confidence: 89%

Description and evaluation of the process-based forest model 4C at four European forest sites

Lasch-Born¹,

Suckow²,

Reyer³

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

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Ökophysiologie der Agrargehölze – vom Blatt zum Bestand

Veste

Pflugmacher

Hartmann

et al. 2018

Agrarholz – Schnellwachsende Bäume in Der Landwirtschaft

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Systematic approach for the design of sustainable supply chains under quality uncertainty

Medina-González

Graells

Guillén‐Gosálbez

et al. 2017

Energy Conversion and Management

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Sustainable processes have recently awaked an increasing interest in the process systems engineering literature. In industry, this kind of problems inevitably required a multi-objective analysis to evaluate the environmental impact in addition to the economic performance. Bio-based processes have the potential to enhance the sustainability level of the energy sector. Nevertheless, such processes very often show variable conditions and present an uncertain behavior. The approaches presented for solving multi-objective problems under uncertainty have neglected the potential effects of different quality streams on the overall system. Here, it is presented an alternative approach, based on a State Task Network formulation, capable of optimizing under uncertain conditions, considering multiple selection criteria and accounting for the material quality effect. The resulting set of Pareto solutions are then assessed using the Elimination and Choice Expressing Reality-IV method, which identify the ones showing better overall performance considering the uncertain parameters spacePeer ReviewedPostprint (author's final draft

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Uncertainty of biomass contributions from agriculture and forestry to renewable energy resources under climate change

Cited by 5 publications

References 0 publications

Description and evaluation of the process-based forest model 4C at four European forest sites

Description and evaluation of the process-based forest model 4C at four European forest sites

Ökophysiologie der Agrargehölze – vom Blatt zum Bestand

Systematic approach for the design of sustainable supply chains under quality uncertainty

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