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5 results on '"Kutsch, W."'

1. Towards long-term standardised carbon and greenhouse gas observations for monitoring Europe’s terrestrial ecosystems: a review

Author

Franz, D, Acosta, M, Altimir, N, Arriga, N, Arrouays, D, Aubinet, M, Aurela, M, Ayres, E, López-Ballesteros, A, Barbaste, M, Berveiller, D, Biraud, S, Boukir, H, Brown, T, Brömmer, C, Buchmann, N, Burba, G, Carrara, A, Cescatti, A, Ceschia, E, Clement, R, Cremonese, E, Crill, P, Darenova, E, Dengel, S, D'Odorico, P, Filippa, G, Fleck, S, Fratini, G, Fuß, R, Gielen, B, Gogo, S, Grace, J, Graf, A, Grelle, A, Gross, P, Grönwald, T, Haapanala, S, Hehn, M, Heinesch, B, Heiskanen, J, Herbst, M, Herschlein, C, Hörtnagl, L, Hufkens, K, Ibrom, A, Jolivet, C, Joly, L, Jones, M, Kiese, R, Klemedtsson, L, Kljun, N, Klumpp, K, Kolari, P, Kolle, O, Kowalski, A, Kutsch, W, Laurila, T, De Ligne, A, Linder, S, Lindroth, A, Lohila, A, Longdoz, B, Mammarella, I, Manise, T, Jiménez, SM, Matteucci, G, Mauder, M, Meier, P, Merbold, L, Mereu, S, Metzger, S, Migliavacca, M, Mölder, M, Montagnani, L, Moureaux, C, Nelson, D, Nemitz, E, Nicolini, G, Nilsson, MB, De Beeck, MOM, Osborne, B, Löfvenius, MO, Pavelka, M, Peichl, M, Peltola, O, Pihlatie, M, Pitacco, A, Pokorný, R, Pumpanen, J, Ratié, C, Rebmann, C, Roland, M, Sabbatini, S, Saby, NPA, Saunders, M, Schmid, HP, Schrumpf, M, Sedlák, P, and Ortiz, PS

Subjects
Climate Action, ICOS, standardised monitoring, carbon cycle, observational network, GHG exchange, Agronomy & Agriculture
Abstract

Research infrastructures play a key role in launching a new generation of integrated long-Term, geographically distributed observation programmes designed to monitor climate change, better understand its impacts on global ecosystems, and evaluate possible mitigation and adaptation strategies. The pan-European Integrated Carbon Observation System combines carbon and greenhouse gas (GHG; CO 2 , CH 4 , N 2 O, H 2 O) observations within the atmosphere, terrestrial ecosystems and oceans. High-precision measurements are obtained using standardised methodologies, are centrally processed and openly available in a traceable and verifiable fashion in combination with detailed metadata. The Integrated Carbon Observation System ecosystem station network aims to sample climate and land-cover variability across Europe. In addition to GHG flux measurements, a large set of complementary data (including management practices, vegetation and soil characteristics) is collected to support the interpretation, spatial upscaling and modelling of observed ecosystem carbon and GHG dynamics. The applied sampling design was developed and formulated in protocols by the scientific community, representing a trade-off between an ideal dataset and practical feasibility. The use of open-Access, high-quality and multi-level data products by different user communities is crucial for the Integrated Carbon Observation System in order to achieve its scientific potential and societal value.

Published
2018

2. The Sub-Saharan Africa carbon balance, an overview

Author

Bombelli A., Henry M., Adu Bredu S., Arneth A., De Grandcourt A., Grieco E., Kutsch W. L., Lehsten V., Rasile A., Reichstein M., Tansey K., Weber U., Valentini R., CASTALDI, Simona, Bombelli, A., Henry, M., Castaldi, Simona, Adu Bredu, S., Arneth, A., De Grandcourt, A., Grieco, E., Kutsch, W. L., Lehsten, V., Rasile, A., Reichstein, M., Tansey, K., Weber, U., and Valentini, R.

Abstract

This study presents a summary overview of the carbon balance of Sub-Saharan Africa (SSA) by synthesizing the available data from national communications to UNFCCC and first results from the project CarboAfrica (net ecosystem productivity and emissions from fires, deforestation and forest degradation, by field and model estimates). According to these preliminary estimates the overall carbon balance of SSA varies from 0.43 Pg C y−1 (using in situ measurements for savanna NEP) to a much higher sink of 2.53 Pg C y−1 (using model estimates for savanna NEP). UNFCCC estimates lead to a moderate carbon sink of 0.58 Pg C y−1. Excluding anthropogenic disturbance and intrinsic episodic events, the carbon uptake by forests (0.98 Pg C y−1) and savannas (from 1.38 to 3.48 Pg C y−1, depending on the used methodology) are the main components of the SSA sink effect. Fires (0.72 Pg C y−1), deforestation (0.25 Pg C y−1) and forest degradation (0.77 Pg C y−1) are the main contributors to the SSA carbon emissions, while the agricultural sector contributes only with 0.12 Pg C y−1. Notably, the impact of forest degradation is higher than that caused by deforestation, and the SSA forest net carbon balance is close to equilibrium. Savannas play a major role in shaping the SSA carbon balance, due to their large areal extent, their fire regime, and their strong interannual NEP variability, but they are also a major uncertainty in the overall budget. This paper shows that Africa plays a key role in the global carbon cycle system and probably could have a potential for carbon sequestration higher than expected, even if still highly uncertain. Further investigations are needed, particularly to better address the role of savannas and tropical forests. The current CarboAfrica network of carbon measurements could provide future unique data sets for better estimating the African carbon balance.

Published
2009
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3. Improving operational land surface model canopy evapotranspiration in Africa using a direct remote sensing approach

Author

Marshall, M., Tu, K., Funk, C., Michaelsen, Joel, Williams, A. Park, Williams, C., Ardö, J., Boucher, M., Cappelaere, B., De Grandcourt, A., Nickless, A., Nouvellon, Y., Scholes, R., and Kutsch, W.

Subjects
2. Zero hunger, 13. Climate action, 15. Life on land, Climatic changes, Hydrology, 6. Clean water, Evapotranspiration--Mathematical models
Abstract

Climate change is expected to have the greatest impact on the world's economically poor. In the Sahel, a climatically sensitive region where rain-fed agriculture is the primary livelihood, expected decreases in water supply will increase food insecurity. Studies on climate change and the intensification of the water cycle in sub-Saharan Africa are few. This is due in part to poor calibration of modeled evapotranspiration (ET), a key input in continental-scale hydrologic models. In this study, a remote sensing model of transpiration (the primary component of ET), driven by a time series of vegetation indices, was used to substitute transpiration from the Global Land Data Assimilation System realization of the National Centers for Environmental Prediction, Oregon State University, Air Force, and Hydrology Research Laboratory at National Weather Service Land Surface Model (GNOAH) to improve total ET model estimates for monitoring purposes in sub-Saharan Africa. The performance of the hybrid model was compared against GNOAH ET and the remote sensing method using eight eddy flux towers representing major biomes of sub-Saharan Africa. The greatest improvements in model performance were at humid sites with dense vegetation, while performance at semi-arid sites was poor, but better than the models before hybridization. The reduction in errors using the hybrid model can be attributed to the integration of a simple canopy scheme that depends primarily on low bias surface climate reanalysis data and is driven primarily by a time series of vegetation indices.

4. Dissolved carbon leaching from soil is a crucial component of the net ecosystem carbon balance

Author

Kindler, R, Siemens, J, Kaiser, K, Walmsley, D C, Bernhofer, Christian, Buchmann, N, Cellier, P, Eugster, W, Gleixner, G, Grünwald, T, Heim, A, Ibrom, A, Jones, S K, Jones, M, Klumpp, K, Kutsch, W, Larsen, K S, Lehuger, S, Loubet, B, McKenzie, R, Moors, E, Osborne, B, Pilegaard, K, Rebmann, C, Saunders, M, Schmidt, M W I, Schrumpf, M, Seyfferth, J, Skiba, U, Soussana, J F, Sutton, M A, Tefs, C, Vowinckel, B, Zeeman, M J, and Kaupenjohann, M

Subjects
2. Zero hunger, 13. Climate action, 15. Life on land

5. Precipitation as driver of carbon fluxes in 11 African ecosystems

Author

Merbold, L., Ardö, J., Arneth, A., Scholes, R. J., Nouvellon, Y., Grandcourt, A., Sally Archibald, Bonnefond, J. M., Boulain, N., Brueggemann, N., Bruemmer, C., Cappelaere, B., Ceschia, E., El-Khidir, H. A. M., El-Tahir, B. A., Falk, U., Lloyd, J., Kergoat, L., Le Dantec, V., Mougin, E., Muchinda, M., Mukelabai, M. M., Ramier, D., Roupsard, O., Timouk, F., Veenendaal, E. M., Kutsch, W. L., Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, Department of Physical Geography and Ecosystem Science [Lund], Lund University [Lund], Department of Physical Geography and Ecosystems Analysis, Geobiosphere Science Centre, Natural Resources and the Environment (CSIR), CSIR, Fonctionnement et pilotage des écosystèmes de plantations (UPR Ecosystèmes de plantations), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), scir, Écologie fonctionnelle et physique de l'environnement (EPHYSE), Institut National de la Recherche Agronomique (INRA), Hydrosciences Montpellier (HSM), Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Atmospheric Chemistry Department [MPIC], Max Planck Institute for Chemistry (MPIC), Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Agricultural Research Cooperation, Department of Ecology and Resource Management, Department of Ecology, Earth and Biosphere Institute, School of Geography, Zambia Meteorological Department (ZMD), Nature Conservation and Plant Ecology Group, Nature Conservation, Fonctionnement et pilotage des écosystèmes de plantations (Cirad-Persyst-UPR 80 Ecosystèmes de plantations), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Écologie fonctionnelle et physique de l'environnement (EPHYSE - UR1263), Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), and Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)

Subjects
0106 biological sciences, 010504 meteorology & atmospheric sciences, open-path, F40 - Écologie végétale, P40 - Météorologie et climatologie, lcsh:Life, Plant Ecology and Nature Conservation, woody cover, F62 - Physiologie végétale - Croissance et développement, 010603 evolutionary biology, 01 natural sciences, soil respiration, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, savanna ecosystem, lcsh:QH540-549.5, Meteorology & Atmospheric Sciences, 0105 earth and related environmental sciences, beech forest, 2. Zero hunger, lcsh:QE1-996.5, co2 exchange, water-vapor transfer, 15. Life on land, PE&RC, EDDY-COVARIANCE, lcsh:Geology, lcsh:QH501-531, Bilan hydrique, 13. Climate action, southern africa, Plantenecologie en Natuurbeheer, eddy-covariance, spatial variability, lcsh:Ecology, Cycle du carbone, Écosystème
Abstract

This study reports carbon and water fluxes between the land surface and atmosphere in eleven different ecosystems types in Sub-Saharan Africa, as measured using eddy covariance (EC) technology in the first two years of the CarboAfrica network operation. The ecosystems for which data were available ranged in mean annual rainfall from 320 mm (Sudan) to 1150 mm (Republic of Congo) and include a spectrum of vegetation types (or land cover) (open savannas, woodlands, croplands and grasslands). Given the shortness of the record, the EC data were analysed across the network rather than longitudinally at sites, in order to understand the driving factors for ecosystem respiration and carbon assimilation, and to reveal the different water use strategies in these highly seasonal environments. Values for maximum net carbon assimilation rates (photosynthesis) ranged from −12.5 μmol CO2 m−2 s−1 in a dry, open Millet cropland (C4-plants) up to −48 μmol CO2 m−2 s−1 for a tropical moist grassland. Maximum carbon assimilation rates were highly correlated with mean annual rainfall (r2=0.74). Maximum photosynthetic uptake rates (Fpmax) were positively related to satellite-derived fAPAR. Ecosystem respiration was dependent on temperature at all sites, and was additionally dependent on soil water content at sites receiving less than 1000 mm of rain per year. All included ecosystems dominated by C3-plants, showed a strong decrease in 30-min assimilation rates with increasing water vapour pressure deficit above 2.0 kPa.

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