Panferov, Oleg I.

[["dc.bibliographiccitation.firstpage","857"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Agroforestry Systems"],["dc.bibliographiccitation.lastpage","870"],["dc.bibliographiccitation.volume","87"],["dc.contributor.author","Tiralla, Nina"],["dc.contributor.author","Panferov, Oleg"],["dc.contributor.author","Knohl, Alexander"],["dc.date.accessioned","2017-09-07T11:49:07Z"],["dc.date.available","2017-09-07T11:49:07Z"],["dc.date.issued","2013"],["dc.identifier.doi","10.1007/s10457-013-9602-4"],["dc.identifier.gro","3147117"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/10337"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/4826"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.relation.issn","0167-4366"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Allometric relationships of frequently used shade tree species in cacao agroforestry systems in Sulawesi, Indonesia"],["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","499"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Tree Physiology"],["dc.bibliographiccitation.lastpage","508"],["dc.bibliographiccitation.volume","28"],["dc.contributor.author","Ibrom, Andreas"],["dc.contributor.author","Oltchev, Alexander"],["dc.contributor.author","June, Tania"],["dc.contributor.author","Kreilein, Heiner"],["dc.contributor.author","Rakkibu, Golam"],["dc.contributor.author","Ross, Thomas"],["dc.contributor.author","Panferov, Oleg"],["dc.contributor.author","Gravenhorst, Gode"],["dc.date.accessioned","2018-11-07T11:17:00Z"],["dc.date.available","2018-11-07T11:17:00Z"],["dc.date.issued","2008"],["dc.description.abstract","Photosynthetically active radiation (Q)-use efficiency (F) is an important parameter for deriving carbon fluxes between forest canopies and the atmosphere from meteorological ground and remote sensing data. A common approach is to assume gross primary production (P,) and net primary production (P-n) are proportional to Q absorbed by vegetation (Q(abs)) by defining the proportionality constants epsilon(Pg) and epsilon(Pn) (for P-g and P-n respectively). Although remote sensing and climate monitoring provide Q(abs) and other meteorological data at the global scale, information on c is particularly scarce in remote tropical areas. We used a 16-month continuous CO2 flux and meteorological dataset from a mountainous tropical rain forest in central Sulawesi, Indonesia to derive values of epsilon(Pg). and to investigate the relationship between P-g and Q(abs). Absorption was estimated with a 1D SVAT model from measured canopy structure and short wave radiation. The half-hourly P, data showed a saturation response to Q(abs). The amount Of Q(abs) required to saturate P-g was reduced when water vapor saturation deficit (D) was high. Light saturation of P-g was still evident when shifting from half-hourly to daily and monthly time scales. Thus, for a majority of observations, P-g was insensitive to changes in Q(abs). A large proportion of the observed seasonal variability in P-g could not be attributed to changes in Q(abs) or D. Values of epsilon(Pg) varied little around the long-term mean of 0.0179 mol CO2 (mol photon)(-1) or 0.99 g C MJ(-1) (the standard deviations were +/- 0.006 and +/- 0.0018 mol CO2 (mol photon)(-1) for daily and monthly means, respectively). In both cases, c p. values were more sensitive to Q(abs) than to daytime D. These findings show that the current epsilon-approaches fail to predict P-g at our tropical rain forest site for two reasons: (1) they neglect saturation of P-g when Q(abs), is high; and (2) they do not include factors, other than Q(abs) and D, that determine seasonality and annual sums of P-g."],["dc.identifier.doi","10.1093/treephys/28.4.499"],["dc.identifier.isi","000255123200004"],["dc.identifier.pmid","18244937"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/54712"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Oxford Univ Press"],["dc.publisher.place","Oxford"],["dc.relation.conference","International Traveling Workshop on Regional Forest Responses to Environmental Change"],["dc.relation.eventlocation","Black Rock, NY"],["dc.relation.issn","1758-4469"],["dc.relation.issn","0829-318X"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.title","Variation in photosynthetic light-use efficiency in a mountainous tropical rain forest in Indonesia"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","80"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","The Open Geography Journal"],["dc.bibliographiccitation.lastpage","90"],["dc.bibliographiccitation.volume","3"],["dc.contributor.author","Panferov, O."],["dc.contributor.author","Sogachev, A."],["dc.contributor.author","Ahrends, B."],["dc.date.accessioned","2019-07-09T11:53:11Z"],["dc.date.available","2019-07-09T11:53:11Z"],["dc.date.issued","2010"],["dc.description.abstract","The structure of forests stands changes continuously as a result of forest growth and both natural and anthropogenic disturbances like windthrow or management activities – planting/cutting of trees. These structure changes can stabilize or destabilize forest stands in terms of their resistance to wind damage. The driving force behind the damage is the climate, but the magnitude and sign of resulting effect depend on tree species, management method and soil conditions. The projected increasing frequency of weather extremes in the whole and severe storms in particular might produce wide area damage in European forest ecosystems during the 21st century. To assess the possible wind damage and stabilization/destabilization effects of forest management a number of numeric experiments are carried out for the region of Solling, Germany. The coupled small-scale process-based model combining Brook90 [1] and SCAlar DIStribuiton turbulence model [2-4] is implemented. The SRES climate scenarios A1B and B1 dynamically downscaled by Climate Local Model CLM [5] are used to project the future climate conditions in the area. The experiments are performed for two tree species (spruce and beech) and a mixed stand and for two target diameter harvesting scenarios. The results show considerable increment of wind damage risks towards 2100 compared to “present climate conditions”, caused by the combination of weak increase of wind speed and precipitation and strong increase of air and soil temperature. The effect is stronger for coniferous species than for deciduous ones. It is shown that management activities have a strong destabilizing effect on forests due to joint influence of climatic factors and decrease of stand density."],["dc.identifier.doi","10.2174/1874923201003010080"],["dc.identifier.fs","579284"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/6977"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60359"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1874-9232"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.subject.ddc","610"],["dc.title","Changes of Forest Stands Vulnerability to Future Wind Damage Resulting from Different Management Methods"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","11"],["dc.bibliographiccitation.journal","Ecological Modelling"],["dc.bibliographiccitation.lastpage","25"],["dc.bibliographiccitation.volume","246"],["dc.contributor.author","Wang, Tao"],["dc.contributor.author","Brender, Pierre"],["dc.contributor.author","Ciais, Philippe"],["dc.contributor.author","Piao, Shilong"],["dc.contributor.author","Mahecha, Miguel D."],["dc.contributor.author","Chevallier, Frederic"],["dc.contributor.author","Reichstein, Markus"],["dc.contributor.author","Ottle, Catherine"],["dc.contributor.author","Maignan, Fabienne"],["dc.contributor.author","Arain, Altaf"],["dc.contributor.author","Bohrer, Gil"],["dc.contributor.author","Cescatti, Alessandro"],["dc.contributor.author","Kiely, Gerard"],["dc.contributor.author","Law, Beverly Elizabeth"],["dc.contributor.author","Lutz, Merbold"],["dc.contributor.author","Montagnani, Leonardo"],["dc.contributor.author","Moors, Eddy J."],["dc.contributor.author","Osborne, Bruce"],["dc.contributor.author","Panferov, Oleg"],["dc.contributor.author","Papale, Dario"],["dc.contributor.author","Vaccari, Francesco Primo"],["dc.date.accessioned","2018-11-07T09:03:30Z"],["dc.date.available","2018-11-07T09:03:30Z"],["dc.date.issued","2012"],["dc.description.abstract","Characterization of state-dependent model biases in land surface models can highlight model deficiencies, and provide new insights into model development. In this study, artificial neural networks (ANNs) are used to estimate the state-dependent biases of a land surface model (ORCHIDEE: ORganising Carbon and Hydrology in Dynamic EcosystEms). To characterize state-dependent biases in ORCHIDEE, we use multi-year flux measurements made at 125 eddy covariance sites that cover 7 different plant functional types (PFTs) and 5 climate groups. We determine whether the state-dependent model biases in five flux variables (H: sensible heat, LE: latent heat, NEE: net ecosystem exchange, GPP: gross primary productivity and R-eco: ecosystem respiration) are transferable within and between three different timescales (diurnal, seasonal-annual and interannual), and between sites (categorized by PFTs and climate groups). For each flux variable at each site, the spectral decomposition method (singular system analysis) was used to reconstruct time series on the three different timescales. At the site level, we found that the share of state-dependent model biases (hereafter called \"error transferability\") is larger for seasonal-annual and interannual timescales than for the diurnal timescale, but little error transferability was found between timescales in all flux variables. Thus, performing model evaluations at multiple timescales is essential for diagnostics and future development. For all PFTs, climate groups and timescale components, the state-dependent model biases are found to be transferable between sites within the same PFT and climate group, suggesting that specific model developments and improvements based on specific eddy covariance sites can be used to enhance the model performance at other sites within the same PFT-climate group. This also supports the legitimacy of upscaling from the ecosystem scale of eddy covariance sites to the regional scale based on the similarity of PFT and climate group. However, the transferability of state-dependent model biases between PFTs or climate groups is not always found on the seasonal-annual and interannual timescales, which is contrary to transferability found on the diurnal timescale and the original time series. (C) 2012 Elsevier B.V. All rights reserved."],["dc.identifier.doi","10.1016/j.ecolmodel.2012.07.017"],["dc.identifier.isi","000310255100002"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/24913"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1872-7026"],["dc.relation.issn","0304-3800"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.title","State-dependent errors in a land surface model across biomes inferred from eddy covariance observations on multiple timescales"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","6612"],["dc.bibliographiccitation.issue","24"],["dc.bibliographiccitation.journal","Journal of Climate"],["dc.bibliographiccitation.lastpage","6623"],["dc.bibliographiccitation.volume","22"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Propastin, Pavel A."],["dc.contributor.author","Kappas, Martin W."],["dc.contributor.author","Panferov, Oleg I."],["dc.date.accessioned","2018-11-07T11:21:33Z"],["dc.date.accessioned","2020-05-08T08:40:09Z"],["dc.date.available","2018-11-07T11:21:33Z"],["dc.date.available","2020-05-08T08:40:09Z"],["dc.date.issued","2009"],["dc.description.abstract","The present study is based on the assumption that vegetation in Indonesia is significantly affected by climate anomalies that are related to El Nino-Southern Oscillation (ENSO) warm phases (El Nino) during the past decades. The analysis builds upon a monthly time series from the normalized difference vegetation index (NDVI) gridded data from the Advanced Very High Resolution Radiometer (AVHRR) and two ENSO proxies, namely, sea surface temperature anomalies (SSTa) and Southern Oscillation index (SOI), and aims at the analysis of the spatially explicit dimension of ENSO impact on vegetation on the Indonesian archipelago. A time series correlation analysis between NDVI anomalies and ENSO proxies for the most recent ENSO warm events (1982-2006) showed that, in general, anomalies in vegetation productivity over Indonesia can be related to an anomalous increase of SST in the eastern equatorial Pacific and to decreases in SOI, respectively. The net effect of these variations is a significant decrease in NDVI values throughout the affected areas during the ENSO warm phases. The 1982/83 ENSO warm episode was rather short but-in terms of ENSO indices-the most extreme one within the study period. The 1997/98 El Nino lasted longer but was weaker. Both events had significant impact on vegetation in terms of negative NDVI anomalies. Compared to these two major warm events, the other investigated events (1987/88, 1991/92, 1994/95, and 2002/03) had no significant effect on vegetation in the investigated region. The land cover-type specific sensitivity of vegetation to ENSO anomalies revealed thresholds of vegetation response to ENSO warm events. The results for the 1997/98 ENSO warm event confirm the hypothesis that the vulnerability of vegetated tropical land surfaces to drought conditions is considerably affected by land use intensity. In particular, it could be shown that natural forest areas are more resistant to drought stress than degraded forest areas or cropland. Comparing the spatially explicit patterns of El Nino-related vegetation variation during the major El Nino phases, the spatial distribution of affected areas reveals distinct core regions of ENSO drought impact on vegetation for Indonesia that coincide with forest conversion and agricultural intensification hot spots."],["dc.description.sponsorship","Deutsche Forschungsgemeinschaft (DFG) [SFB-552]"],["dc.identifier.doi","10.1175/2009JCLI2460.1"],["dc.identifier.isi","000273359000007"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/5931"],["dc.identifier.scopus","2-s2.0-77649334436"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/55798"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-77649334436&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.eissn","1520-0442"],["dc.relation.issn","0894-8755"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Spatial patterns of NDVI variation over Indonesia and their relationship to ENSO warm events during the period 1982-2006"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","103"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","The Open Geography Journal"],["dc.bibliographiccitation.lastpage","114"],["dc.bibliographiccitation.volume","3"],["dc.contributor.author","Radler, K."],["dc.contributor.author","Oltchev, A."],["dc.contributor.author","Panferov, O."],["dc.contributor.author","Klinck, U."],["dc.contributor.author","Gravenhorst, G."],["dc.date.accessioned","2019-07-09T11:53:11Z"],["dc.date.available","2019-07-09T11:53:11Z"],["dc.date.issued","2010"],["dc.description.abstract","Effects of a small clear-cutting on solar radiation, soil and air temperature regimes were investigated by continuous field measurements in a spruce forest in Solling, Central Germany, during vegetation period of 2005. Five meteorological stations, installed in central part of a small clear-cut area (2.5 ha) and close to edges of a surrounding forest, allowed to quantify the spatial variability of meteorological parameters within the clear-cut and to describe the impacts of the forest on clear-cut microclimate. The differences of microclimatic conditions between the clear-cut and the surrounding forest were derived using an additional station installed inside the forest about 150 m from the clear-cut. Results showed that clear-cutting leads to significant changes of spatial and temporal patterns of solar radiation and soil temperature. Solar radiation at the clear-cut was very heterogeneously distributed and about 5-11 times higher than inside the forest. It reached maximum at northeastern part and minimum at southwestern part of the clear-cut. The daily maximal soil temperature at 10 cm depth was measured at northern parts of the clear-cut and it was by up to 6°C higher than in the forest. Daily minimal soil temperature at the clear-cut was about 1-3°C higher than in the forest, too. The main factors influencing the soil temperature patterns were seasonally changed incoming solar radiation, ground vegetation and its phenology, as well as soil moisture. The mean daily maximal air temperature measured at the clear-cut was by up to 2.5°C higher and the mean daily minimal temperature by up to 0.5°C lower than in the surrounded forest."],["dc.identifier.doi","10.2174/1874923201003010103"],["dc.identifier.fs","579287"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/6979"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60361"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1874-9232"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.subject.ddc","570"],["dc.title","Radiation and Temperature Responses to a Small Clear-Cut in a Spruce Forest"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1532"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","Forest Ecology and Management"],["dc.bibliographiccitation.lastpage","1540"],["dc.bibliographiccitation.volume","262"],["dc.contributor.author","Fischer, Christoph"],["dc.contributor.author","Kleinn, Christoph"],["dc.contributor.author","Fehrmann, Lutz"],["dc.contributor.author","Fuchs, Hans"],["dc.contributor.author","Panferov, Oleg"],["dc.date.accessioned","2017-09-07T11:47:03Z"],["dc.date.available","2017-09-07T11:47:03Z"],["dc.date.issued","2011"],["dc.identifier.doi","10.1016/j.foreco.2011.07.001"],["dc.identifier.gro","3149245"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5901"],["dc.notes.intern","Kleinn Crossref Import"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.relation.issn","0378-1127"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.title","A national level forest resource assessment for Burkina Faso – A field based forest inventory in a semiarid environment combining small sample size with large observation plots"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","30"],["dc.bibliographiccitation.journal","Ecological Modelling"],["dc.bibliographiccitation.lastpage","47"],["dc.bibliographiccitation.volume","346"],["dc.contributor.author","Thiele, Jan Christoph"],["dc.contributor.author","Nuske, Robert S."],["dc.contributor.author","Ahrends, Bernd"],["dc.contributor.author","Panferov, Oleg"],["dc.contributor.author","Albert, Matthias"],["dc.contributor.author","Staupendahl, Kai"],["dc.contributor.author","Junghans, Udo"],["dc.contributor.author","Jansen, Martin"],["dc.contributor.author","Saborowski, Joachim"],["dc.date.accessioned","2018-11-07T10:27:13Z"],["dc.date.available","2018-11-07T10:27:13Z"],["dc.date.issued","2017"],["dc.description.abstract","Projected climate change implies that site conditions can no longer be expected to remain constant over a tree's lifetime. The fast and complex changes in site characteristics and growth patterns diminish the value of traditional knowledge and profoundly alter the conditions of forest management. One way to tackle the inherent uncertainties are simulation studies addressing these new dynamics and mechanisms. The aim of this study is to present such a simulation model system comprising various established and validated process-based and statistical models assessing the complex and dynamic response of a forest stand to climate change. For a given climate scenario, these coupled models estimate the potential growth and yield and various risks considering changing site and stand conditions. As an example, the model system is applied to managed forest stands of Norway spruce (Picea abies (L) H. Karst.) in a forest district located in central western Germany. For the changing climate conditions according to SRES B1 and A1 B, the model results suggest a positive effect on the site index and, by contrast, a negative impact on tree survival of increasing risks regarding drought stress mortality, wind damage, and bark beetle infestation given the climate change scenario. The annual contribution margin of timber production under consideration of damage risks by drought stress mortality, wind, and bark beetle infestation reveals that, in this case, the increased growth is able to compensate for the higher risks with few exceptions. Furthermore, we discuss the advantages and challenges of employing a dynamic complex simulation model system for climate change impact assessment based on high-resolution climate data. (C) 2016 Elsevier B.V. All rights reserved."],["dc.identifier.doi","10.1016/j.ecolmodel.2016.11.013"],["dc.identifier.isi","000393248900004"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/43203"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","PUB_WoS_Import"],["dc.relation.issn","1872-7026"],["dc.relation.issn","0304-3800"],["dc.relation.orgunit","Abteilung Ökoinformatik, Biometrie und Waldwachstum"],["dc.title","Climate change impact assessment-A simulation experiment with Norway spruce for a forest district in Central Europe"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","6655"],["dc.bibliographiccitation.issue","22"],["dc.bibliographiccitation.journal","Biogeosciences"],["dc.bibliographiccitation.lastpage","6667"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Olchev, A."],["dc.contributor.author","Ibrom, A."],["dc.contributor.author","Panferov, O."],["dc.contributor.author","Gushchina, D."],["dc.contributor.author","Kreilein, H."],["dc.contributor.author","Popov, V."],["dc.contributor.author","Propastin, P."],["dc.contributor.author","June, T."],["dc.contributor.author","Rauf, A."],["dc.contributor.author","Gravenhorst, G."],["dc.contributor.author","Knohl, A."],["dc.date.accessioned","2017-09-07T11:49:05Z"],["dc.date.available","2017-09-07T11:49:05Z"],["dc.date.issued","2015"],["dc.description.abstract","The possible impact of El Niño–Southern Oscillation (ENSO) events on the main components of CO2 and H2O fluxes between the tropical rainforest and the atmosphere is investigated. The fluxes were continuously measured in an old-growth mountainous tropical rainforest in Central Sulawesi in Indonesia using the eddy covariance method for the period from January 2004 to June 2008. During this period, two episodes of El Niño and one episode of La Niña were observed. All these ENSO episodes had moderate intensity and were of the central Pacific type. The temporal variability analysis of the main meteorological parameters and components of CO2 and H2O exchange showed a high sensitivity of evapotranspiration (ET) and gross primary production (GPP) of the tropical rainforest to meteorological variations caused by both El Niño and La Niña episodes. Incoming solar radiation is the main governing factor that is responsible for ET and GPP variability. Ecosystem respiration (RE) dynamics depend mainly on the air temperature changes and are almost insensitive to ENSO. Changes in precipitation due to moderate ENSO events did not have any notable effect on ET and GPP, mainly because of sufficient soil moisture conditions even in periods of an anomalous reduction in precipitation in the region."],["dc.identifier.doi","10.5194/bg-12-6655-2015"],["dc.identifier.gro","3147096"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/4815"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation","SFB 990 | A | A03: Untersuchung von Land-Atmosphäre Austauschprozesse in Landnutzungsänderungs-Systemen"],["dc.relation.issn","1726-4189"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.rights","CC BY 3.0"],["dc.subject.gro","sfb990_journalarticles"],["dc.title","Response of CO2 and H2O fluxes in a mountainous tropical rainforest in equatorial Indonesia to El Niño events"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","3457"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","HYDROLOGY AND EARTH SYSTEM SCIENCES"],["dc.bibliographiccitation.lastpage","3474"],["dc.bibliographiccitation.volume","19"],["dc.contributor.author","Richter, Falk"],["dc.contributor.author","Doering, C."],["dc.contributor.author","Jansen, M."],["dc.contributor.author","Panferov, Oleg"],["dc.contributor.author","Spank, U."],["dc.contributor.author","Bernhofer, Christian"],["dc.date.accessioned","2018-11-07T10:03:00Z"],["dc.date.available","2018-11-07T10:03:00Z"],["dc.date.issued","2015"],["dc.description.abstract","Among the different bioenergy sources, short rotation coppices (SRC) with poplar and willow trees are one of the promising options in Europe. SRC provide not only woody biomass but also additional ecosystem services. However, a known shortcoming is the potentially lower groundwater recharge caused by the potentially higher evapotranspiration demand compared to annual crops. The complex feedbacks between vegetation cover and water cycle can be only correctly assessed by application of well-parameterised and calibrated numerical models. In the present study, the hydrological model system WaSim (Wasserhaushalts-Simulations-Model) is implemented for assessment of the water balance. The focus is the analysis of simulation uncertainties caused by the use of guidelines or transferred parameter sets from scientific literature compared to \"actual\" parameterisations derived from local measurements of leaf area index (LAI), stomatal resistance (Rsc) and date of leaf unfolding (LU). The analysis showed that uncertainties in parameterisation of vegetation lead to implausible model results. LAI, Rsc and LU are the most sensitive plant physiological parameters concerning the effects of enhanced SRC cultivation on water budget or groundwater recharge. Particularly sensitive is the beginning of the growing season, i.e. LU. When this estimation is wrong, the accuracy of LAI and Rsc description plays a minor role. Our analyses illustrate that the use of locally measured vegetation parameters, like maximal LAI, and meteorological variables, like air temperature, to estimate LU give better results than literature data or data from remote network stations. However, the direct implementation of locally measured data is not always advisable or possible. Regarding Rsc, the adjustment of local measurements gives the best model evaluation. For local and accurate studies, measurements of model sensitive parameters like LAI, Rsc and LU are valuable information. The derivation of these model parameters based on local measurements shows the best model fit. Additionally, the adjusted seasonal course of LAI and Rsc is less sensitive to different estimates for LU. Different parameterisations, as they are all eligible either from local measurements or scientific literature, can result in modelled ground water recharge to be present or completely absent in certain years under poplar SRC."],["dc.description.sponsorship","Open-Access Publikationsfonds 2015"],["dc.identifier.doi","10.5194/hess-19-3457-2015"],["dc.identifier.fs","615751"],["dc.identifier.isi","000360653600009"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/12762"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/38348"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Copernicus Gesellschaft Mbh"],["dc.relation.issn","1607-7938"],["dc.relation.issn","1027-5606"],["dc.rights.access","openAccess"],["dc.title","How to predict hydrological effects of local land use change: how the vegetation parameterisation for short rotation coppices influences model results"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]