Mund, Martina

[["dc.bibliographiccitation.firstpage","2005"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Global Change Biology"],["dc.bibliographiccitation.lastpage","2019"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Anthoni, P. M."],["dc.contributor.author","Knohl, A."],["dc.contributor.author","Rebmann, C."],["dc.contributor.author","Freibauer, A."],["dc.contributor.author","Mund, M."],["dc.contributor.author","Ziegler, W."],["dc.contributor.author","Kolle, O."],["dc.contributor.author","Schulze, E.-D."],["dc.date.accessioned","2017-09-07T11:49:58Z"],["dc.date.available","2017-09-07T11:49:58Z"],["dc.date.issued","2004"],["dc.description.abstract","Eddy covariance was used to measure the net CO2 exchange (NEE) over ecosystems differing in land use (forest and agriculture) in Thuringia, Germany. Measurements were carried out at a managed, even‐aged European beech stand (Fagus sylvatica, 70–150 years old), an unmanaged, uneven‐aged mixed beech stand in a late stage of development (F. sylvatica, Fraxinus excelsior, Acer pseudoplantanus, and other hardwood trees, 0–250 years old), a managed young Norway spruce stand (Picea abies, 50 years old), and an agricultural field growing winter wheat in 2001, and potato in 2002. Large contrasts were found in NEE rates between the land uses of the ecosystems. The managed and unmanaged beech sites had very similar net CO2 uptake rates (∼−480 to −500 g C m−2 yr−1). Main differences in seasonal NEE patterns between the beech sites were because of a later leaf emergence and higher maximum leaf area index at the unmanaged beech site, probably as a result of the species mix at the site. In contrast, the spruce stand had a higher CO2 uptake in spring but substantially lower net CO2 uptake in summer than the beech stands. This resulted in a near neutral annual NEE (−4 g C m−2 yr−1), mainly attributable to an ecosystem respiration rate almost twice as high as that of the beech stands, despite slightly lower temperatures, because of the higher elevation. Crops in the agricultural field had high CO2 uptake rates, but growing season length was short compared with the forest ecosystems. Therefore, the agricultural land had low‐to‐moderate annual net CO2 uptake (−34 to −193 g C m−2), but with annual harvest taken into account it will be a source of CO2 (+97 to +386 g C m−2). The annually changing patchwork of crops will have strong consequences on the regions' seasonal and annual carbon exchange. Thus, not only land use, but also land‐use history and site‐specific management decisions affect the large‐scale carbon balance."],["dc.identifier.doi","10.1111/j.1365-2486.2004.00863.x"],["dc.identifier.gro","3147505"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5035"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","1354-1013"],["dc.title","Forest and agricultural land-use-dependent CO2 exchange in Thuringia, Germany"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","2411"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","Biogeosciences"],["dc.bibliographiccitation.lastpage","2427"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Otto, Juliane"],["dc.contributor.author","Berveiller, Daniel"],["dc.contributor.author","Bréon, Francois-Marie"],["dc.contributor.author","Delpierre, Nicolas"],["dc.contributor.author","Geppert, Gernot"],["dc.contributor.author","Granier, Andre"],["dc.contributor.author","Jans, Wilma"],["dc.contributor.author","Knohl, Alexander"],["dc.contributor.author","Kuusk, Andres"],["dc.contributor.author","Longdoz, Bernard"],["dc.contributor.author","Moors, Eddy"],["dc.contributor.author","Mund, Martina"],["dc.contributor.author","Pinty, Bernard"],["dc.contributor.author","Schelhaas, Mart-Jan"],["dc.contributor.author","Luyssaert, Sebastiaan"],["dc.date.accessioned","2017-09-07T11:50:03Z"],["dc.date.available","2017-09-07T11:50:03Z"],["dc.date.issued","2014"],["dc.description.abstract","Although forest management is one of the instruments proposed to mitigate climate change, the relationship between forest management and canopy albedo has been ignored so far by climate models. Here we develop an approach that could be implemented in Earth system models. A stand-level forest gap model is combined with a canopy radiation transfer model and satellite-derived model parameters to quantify the effects of forest thinning on summertime canopy albedo. This approach reveals which parameter has the largest affect on summer canopy albedo: we examined the effects of three forest species (pine, beech, oak) and four thinning strategies with a constant forest floor albedo (light to intense thinning regimes) and five different solar zenith angles at five different sites (40° N 9° E–60° N 9° E). During stand establishment, summertime canopy albedo is driven by tree species. In the later stages of stand development, the effect of tree species on summertime canopy albedo decreases in favour of an increasing influence of forest thinning. These trends continue until the end of the rotation, where thinning explains up to 50% of the variance in near-infrared albedo and up to 70% of the variance in visible canopy albedo. The absolute summertime canopy albedo of all species ranges from 0.03 to 0.06 (visible) and 0.20 to 0.28 (near-infrared); thus the albedo needs to be parameterised at species level. In addition, Earth system models need to account for forest management in such a way that structural changes in the canopy are described by changes in leaf area index and crown volume (maximum change of 0.02 visible and 0.05 near-infrared albedo) and that the expression of albedo depends on the solar zenith angle (maximum change of 0.02 visible and 0.05 near-infrared albedo). Earth system models taking into account these parameters would not only be able to examine the spatial effects of forest management but also the total effects of forest management on climate."],["dc.identifier.doi","10.5194/bg-11-2411-2014"],["dc.identifier.fs","609989"],["dc.identifier.gro","3147550"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/10219"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5053"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","1726-4189"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.rights","CC BY 3.0"],["dc.rights.access","openAccess"],["dc.title","Forest summer albedo is sensitive to species and thinning: how should we account for this in Earth system models?"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","101"],["dc.bibliographiccitation.journal","Forest Ecology and Management"],["dc.bibliographiccitation.lastpage","108"],["dc.bibliographiccitation.volume","355"],["dc.contributor.author","Herbst, Mathias"],["dc.contributor.author","Mund, Martina"],["dc.contributor.author","Tamrakar, Rijan"],["dc.contributor.author","Knohl, Alexander"],["dc.date.accessioned","2017-09-07T11:50:01Z"],["dc.date.available","2017-09-07T11:50:01Z"],["dc.date.issued","2015"],["dc.identifier.doi","10.1016/j.foreco.2015.05.034"],["dc.identifier.gro","3147531"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5043"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.relation.issn","0378-1127"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.title","Differences in carbon uptake and water use between a managed and an unmanaged beech forest in central Germany"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","111"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","New Phytologist"],["dc.bibliographiccitation.lastpage","125"],["dc.bibliographiccitation.volume","226"],["dc.contributor.author","Mund, Martina"],["dc.contributor.author","Herbst, Mathias"],["dc.contributor.author","Knohl, Alexander"],["dc.contributor.author","Matthäus, Bertrand"],["dc.contributor.author","Schumacher, Jens"],["dc.contributor.author","Schall, Peter"],["dc.contributor.author","Siebicke, Lukas"],["dc.contributor.author","Tamrakar, Rijan"],["dc.contributor.author","Ammer, Christian"],["dc.date.accessioned","2021-04-14T08:27:28Z"],["dc.date.available","2021-04-14T08:27:28Z"],["dc.date.issued","2020"],["dc.description.abstract","Summary Controls on tree growth are key issues in plant physiology. The hypothesis of our study was that the interannual variability of wood and fruit production are primarily controlled directly by weather conditions (sink limitation), while carbon assimilation (source limitation) plays a secondary role. We analyzed the interannual variability of weather conditions, gross primary productivity (GPP) and net primary productivity (NPP) of wood and fruits of an old‐growth, unmanaged Fagus sylvatica forest over 14 yr, including six mast years. In a multiple linear regression model, c. 71% of the annual variation in wood‐NPP could be explained by mean air temperature in May, precipitation from April to May (positive influence) and fruit‐NPP (negative influence). GPP of June to July solely explained c. 42% of the variation in wood‐NPP. Fruit‐NPP was positively related to summer precipitation 2 yr before (R2 = 0.85), and negatively to precipitation in May (R2 = 0.83) in the fruit years. GPP had no influence on fruit‐NPP. Our results suggest a complex system of sink and source limitations to tree growth driven by weather conditions and going beyond a simple carbon‐mediated ‘trade‐off’ between regenerative and vegetative growth."],["dc.description.sponsorship","Integrated project CarboEurope‐IP, European Commission, Directorate‐General Research, Sixth Framework Programme, Priority 1.1.6.3: Global Change and Ecosystem http://dx.doi.org/10.13039/501100004965"],["dc.description.sponsorship","Max Planck Institute for Biogeochemistry, Germany"],["dc.description.sponsorship","Georg‐August‐University Göttingen, Germany http://dx.doi.org/10.13039/501100003385"],["dc.description.sponsorship","German Research Foundation (DFG) http://dx.doi.org/10.13039/501100001659"],["dc.description.sponsorship","German Federal Ministry of Education and Research (BMBF; research infrastructure ICOS)"],["dc.identifier.doi","10.1111/nph.16408"],["dc.identifier.eissn","1469-8137"],["dc.identifier.issn","0028-646X"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82299"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1469-8137"],["dc.relation.issn","0028-646X"],["dc.relation.orgunit","Zentrum für Biodiversität und Nachhaltige Landnutzung"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.rights","This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited."],["dc.title","It is not just a ‘trade‐off’: indications for sink‐ and source‐limitation to vegetative and regenerative growth in an old‐growth beech forest"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","571"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Trees"],["dc.bibliographiccitation.lastpage","586"],["dc.bibliographiccitation.volume","20"],["dc.contributor.author","Skomarkova, M. V."],["dc.contributor.author","Vaganov, E. A."],["dc.contributor.author","Mund, M."],["dc.contributor.author","Knohl, A."],["dc.contributor.author","Linke, P."],["dc.contributor.author","Boerner, A."],["dc.contributor.author","Schulze, E.-D."],["dc.date.accessioned","2017-09-07T11:49:07Z"],["dc.date.available","2017-09-07T11:49:07Z"],["dc.date.issued","2006"],["dc.description.abstract","We investigated the variability of tree-ring width, wood density and 13C/12C in beech tree rings (Fagus sylvatica L.), and analyzed the influence of climatic variables and carbohydrate storage on these parameters. Wood cores were taken from dominant beech trees in three stands in Germany and Italy. We used densitometry to obtain density profiles of tree rings and laser-ablation-combustion-GC-IRMS to estimate carbon isotope composition (δ 13C) of wood. The sensitivity of ring width, wood density and δ 13C to climatic variables differed; with tree-ring width responding to environmental conditions (temperature or precipitation) during the first half of a growing season and maximum density correlated with temperatures in the second part of a growing season (July–September). δ 13C variations indicate re-allocation and storage processes and effects of drought during the main growing season. About 20% of inter-annual variation of tree-ring width was explained by the tree-ring width of the previous year. This was confirmed by δ 13C of wood which showed a contribution of stored carbohydrates to growth in spring and a storage effect that competes with growth in autumn. Only mid-season δ 13C of wood was related to concurrent assimilation and climate. The comparison of seasonal changes in tree-ring maximum wood density and isotope composition revealed that an increasing seasonal water deficit changes the relationship between density and 13C composition from a negative relation in years with optimal moisture to a positive relationship in years with strong water deficit. The climate signal, however, is over-ridden by effects of stand density and crown structure (e.g., by forest management). There was an unexpected high variability in mid season δ 13C values of wood between individual trees (−31 to −24‰) which was attributed to competition between dominant trees as indicated by crown area, and microclimatological variations within the canopy. Maximum wood density showed less variation (930–990 g cm−3). The relationship between seasonal changes in tree-ring structure and 13C composition can be used to study carbon storage and re-allocation, which is important for improving models of tree-ring growth and carbon isotope fractionation. About 20–30% of the tree-ring is affected by storage processes. The effects of storage on tree-ring width and the effects of forest structure put an additional uncertainty on using tree rings of broad leaved trees for climate reconstruction."],["dc.identifier.doi","10.1007/s00468-006-0072-4"],["dc.identifier.gro","3147113"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/4823"],["dc.language.iso","en"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.relation.issn","0931-1890"],["dc.title","Inter-annual and seasonal variability of radial growth, wood density and carbon isotope ratios in tree rings of beech (Fagus sylvatica) growing in Germany and Italy"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","689"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Tree Physiology"],["dc.bibliographiccitation.lastpage","704"],["dc.bibliographiccitation.volume","30"],["dc.contributor.author","Mund, Martina"],["dc.contributor.author","Kutsch, Werner L."],["dc.contributor.author","Wirth, C."],["dc.contributor.author","Kahl, Tiemo"],["dc.contributor.author","Knohl, Alexander"],["dc.contributor.author","Skomarkova, Marina V."],["dc.contributor.author","Schulze, Ernst-Detlef"],["dc.date.accessioned","2017-09-07T11:50:03Z"],["dc.date.available","2017-09-07T11:50:03Z"],["dc.date.issued","2010"],["dc.identifier.doi","10.1093/treephys/tpq027"],["dc.identifier.gro","3147545"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5050"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.relation.issn","0829-318X"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.title","The influence of climate and fructification on the inter-annual variability of stem growth and net primary productivity in an old-growth, mixed beech forest"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","703"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Global Change Biology"],["dc.bibliographiccitation.lastpage","722"],["dc.bibliographiccitation.volume","5"],["dc.contributor.author","Schulze, E.-D."],["dc.contributor.author","Lloyd, J."],["dc.contributor.author","Kelliher, F. M."],["dc.contributor.author","Wirth, C."],["dc.contributor.author","Rebmann, C."],["dc.contributor.author","Lühker, B."],["dc.contributor.author","Mund, M."],["dc.contributor.author","Knohl, A."],["dc.contributor.author","Milyukova, I. M."],["dc.contributor.author","Schulze, W."],["dc.contributor.author","Ziegler, W."],["dc.contributor.author","Varlagin, A. B."],["dc.contributor.author","Sogachev, A. F."],["dc.contributor.author","Valentini, R."],["dc.contributor.author","Dore, S."],["dc.contributor.author","Grigoriev, S."],["dc.contributor.author","Kolle, O."],["dc.contributor.author","Panfyorov, M. I."],["dc.contributor.author","Tchebakova, N."],["dc.contributor.author","Vygodskaya, N. N."],["dc.date.accessioned","2017-09-07T11:50:06Z"],["dc.date.available","2017-09-07T11:50:06Z"],["dc.date.issued","2001"],["dc.description.abstract","Based on review and original data, this synthesis investigates carbon pools and fluxes of Siberian and European forests (600 and 300 million ha, respectively). We examine the productivity of ecosystems, expressed as positive rate when the amount of carbon in the ecosystem increases, while (following micrometeorological convention) downward fluxes from the atmosphere to the vegetation (NEE = Net Ecosystem Exchange) are expressed as negative numbers. Productivity parameters are Net Primary Productivity (NPP=whole plant growth), Net Ecosystem Productivity (NEP = CO2 assimilation minus ecosystem respiration), and Net Biome Productivity (NBP = NEP minus carbon losses through disturbances bypassing respiration, e.g. by fire and logging). Based on chronosequence studies and national forestry statistics we estimate a low average NPP for boreal forests in Siberia: 123 gC m–2 y–1. This contrasts with a similar calculation for Europe which suggests a much higher average NPP of 460 gC m–2 y–1 for the forests there. Despite a smaller area, European forests have a higher total NPP than Siberia (1.2–1.6 vs. 0.6–0.9 × 1015 gC region–1 y–1). This arises as a consequence of differences in growing season length, climate and nutrition.  For a chronosequence of Pinus sylvestris stands studied in central Siberia during summer, NEE was most negative in a 67‐y old stand regenerating after fire (– 192 mmol m–2 d–1) which is close to NEE in a cultivated forest of Germany (– 210 mmol m–2 d–1). Considerable net ecosystem CO2‐uptake was also measured in Siberia in 200‐ and 215‐y old stands (NEE:174 and – 63 mmol m–2 d–1) while NEP of 7‐ and 13‐y old logging areas were close to the ecosystem compensation point. Two Siberian bogs and a bog in European Russia were also significant carbon sinks (– 102 to – 104 mmol m–2 d–1). Integrated over a growing season (June to September) we measured a total growing season NEE of – 14 mol m–2 summer–1 (– 168 gC m–2 summer–1) in a 200‐y Siberian pine stand and – 5 mol m–2 summer–1 (– 60 gC m–2 summer–1) in Siberian and European Russian bogs. By contrast, over the same period, a spruce forest in European Russia was a carbon source to the atmosphere of (NEE: + 7 mol m–2 summer–1 = + 84 gC m–2 summer–1). Two years after a windthrow in European Russia, with all trees being uplifted and few successional species, lost 16 mol C m–2 to the atmosphere over a 3‐month in summer, compared to the cumulative NEE over a growing season in a German forest of – 15.5 mol m–2 summer–1 (– 186 gC m–2 summer–1; European flux network annual averaged – 205 gC m–2 y–1).  Differences in CO2‐exchange rates coincided with differences in the Bowen ratio, with logging areas partitioning most incoming radiation into sensible heat whereas bogs partitioned most into evaporation (latent heat). Effects of these different surface energy exchanges on local climate (convective storms and fires) and comparisons with the Canadian BOREAS experiment are discussed.  Following a classification of disturbances and their effects on ecosystem carbon balances, fire and logging are discussed as the main processes causing carbon losses that bypass heterotrophic respiration in Siberia. Following two approaches, NBP was estimated to be only about 13–16 mmol m–2 y–1 for Siberia. It may reach 67 mmol m–2 y–1 in North America, and about 140–400 mmol m–2 y–1 in Scandinavia.  We conclude that fire speeds up the carbon cycle, but that it results also in long‐term carbon sequestration by charcoal formation. For at least 14 years after logging, regrowth forests remain net sources of CO2 to the atmosphere. This has important implications regarding the effects of Siberian forest management on atmospheric concentrations. For many years after logging has taken place, regrowth forests remain weaker sinks for atmospheric CO2 than are nearby old‐growth forests."],["dc.identifier.doi","10.1046/j.1365-2486.1999.00266.x"],["dc.identifier.gro","3147562"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5061"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","1354-1013"],["dc.title","Productivity of forests in the Eurosiberian boreal region and their potential to act as a carbon sink - a synthesis"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","465"],["dc.bibliographiccitation.journal","Agricultural and Forest Meteorology"],["dc.bibliographiccitation.lastpage","476"],["dc.bibliographiccitation.volume","263"],["dc.contributor.author","Tamrakar, Rijan"],["dc.contributor.author","Rayment, Mark B."],["dc.contributor.author","Moyano, Fernando Esteban"],["dc.contributor.author","Mund, Martina"],["dc.contributor.author","Knohl, Alexander"],["dc.date.accessioned","2019-11-14T15:47:18Z"],["dc.date.available","2019-11-14T15:47:18Z"],["dc.date.issued","2018"],["dc.description.abstract","The effects of structural diversity on the carbon dioxide exchange (CO2) of forests has become an important area of research for improving the predictability of future CO2 budgets. We report the results of a paired eddy covariance tower study with 11 years of data on two forest sites of similar mean stand age, near-identical site conditions, and dominated by beech trees (Fagus sylvatica), but with a very different stand structure (incl. age, diameter distribution, stocks of dead wood and species composition) because of different management regimes. Here we address the question of how management and related structural diversity may affect CO2 fluxes, and tested the hypothesis that more structurally diverse stands are less sensitive to variations in abiotic and biotic drivers. Higher annual net ecosystem productivity (NEP) was observed in the managed, even-aged, and homogenous forest (585 ± 57.8 g C m⁻² yr⁻¹), than in the unmanaged, uneven-aged, and structurally diverse forest (487 ± 144 g C m⁻² yr⁻¹). About two-third of the difference in NEP between the sites was contributed by a higher annual gross primary productivity (GPP, 1627 ± 164 vs 1558 ± 118 g C m⁻² yr⁻¹) and one-third by a lower annual ecosystem respiration (Reco, 1042 ± 60 vs 1071 ± 96 g C m⁻² yr⁻¹) in the homogenous forest. Spring (April – May) and summer (June – July) were the two main seasons contributing to the overall annual differences between the sites, also, the sensitivities of seasonal NEP and GPP to environmental variables were stronger in the homogenous forest during those periods. Inter-annual variation of NEP was higher in the homogenous forest (coefficient of variation (CV) = 25%) compared to the heterogeneous forest (CV = 12%). At annual time scale, the higher variability of NEP in the homogenous forest is attributed to biotic factors such as fruit production and a time-dependent growth trend, outweighing differences in environmental sensitivities."],["dc.identifier.doi","10.1016/j.agrformet.2018.08.027"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/62629"],["dc.language.iso","en"],["dc.relation.issn","0168-1923"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.title","Implications of structural diversity for seasonal and annual carbon dioxide fluxes in two temperate deciduous forests"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scientific Reports"],["dc.bibliographiccitation.volume","6"],["dc.contributor.author","Vicca, Sara"],["dc.contributor.author","Balzarolo, Manuela"],["dc.contributor.author","Filella, Iolanda"],["dc.contributor.author","Granier, André"],["dc.contributor.author","Herbst, Mathias"],["dc.contributor.author","Knohl, Alexander"],["dc.contributor.author","Longdoz, Bernard"],["dc.contributor.author","Mund, Martina"],["dc.contributor.author","Nagy, Zoltán"],["dc.contributor.author","Pintér, Krisztina"],["dc.contributor.author","Rambal, Serge"],["dc.contributor.author","Verbesselt, Jan"],["dc.contributor.author","Verger, Aleixandre"],["dc.contributor.author","Zeileis, Achim"],["dc.contributor.author","Zhang, Chao"],["dc.contributor.author","Peñuelas, Josep"],["dc.date.accessioned","2017-09-07T11:49:10Z"],["dc.date.available","2017-09-07T11:49:10Z"],["dc.date.issued","2016"],["dc.identifier.doi","10.1038/srep28269"],["dc.identifier.gro","3147120"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/13811"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/4828"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.relation.issn","2045-2322"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.rights.access","openAccess"],["dc.title","Remotely-sensed detection of effects of extreme droughts on gross primary production"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]