Panferov, Oleg I.

[["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","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","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","183"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Geography, Environment, Sustainability"],["dc.bibliographiccitation.lastpage","196"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Gushchina, Daria"],["dc.contributor.author","Heimsch, Florian"],["dc.contributor.author","Osipov, Alexander"],["dc.contributor.author","June, Tania"],["dc.contributor.author","Rauf, Abdul"],["dc.contributor.author","Kreilein, Heiner"],["dc.contributor.author","Panferov, Oleg"],["dc.contributor.author","Olchev, Alexander"],["dc.contributor.author","Knohl, Alexander"],["dc.date.accessioned","2019-11-14T15:25:25Z"],["dc.date.available","2019-11-14T15:25:25Z"],["dc.date.issued","2019"],["dc.description.abstract","The influence of the very strong 2015–16 El Niño event on local and regional meteorological conditions, as well as on energy and CO2 fluxes in a mountainous primary tropical rainforest was investigated using ERA-Interim reanalysis data as well as meteorological and eddy covariance flux measurements from Central Sulawesi in Indonesia. The El Niño event led to a strong increase of incoming monthly solar radiation and air temperature, simultaneously with the increasing Niño4 index. Monthly precipitation first strongly decreased and then increased reaching a maximum in 3–4 months after El Niño culmination. Ecosystem respiration increased while gross primary production showed only a weak response to the El Niño event resulting in a positive anomaly of net ecosystem CO2 exchange (reduced CO2 uptake). The changes of key meteorological parameters and fluxes caused by the strong El Niño event of 2015–16 differed from the effects of moderate El Niño events observed during the period 2003-2008, where net ecosystem CO2 exchange remained largely unaffected. In contrast to earlier moderate El Niño events, the strong El Niño 2015–16 affected mostly the air temperature resulting in a weakening of the net carbon sink at the rainforest site in Central Sulawesi, Indonesia."],["dc.identifier.doi","10.24057/2071-9388-2018-88"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/62624"],["dc.language.iso","en"],["dc.relation","SFB 990: Ökologische und sozioökonomische Funktionen tropischer Tieflandregenwald-Transformationssysteme (Sumatra, Indonesien)"],["dc.relation","SFB 990 | A | A03: Untersuchung von Land-Atmosphäre Austauschprozesse in Landnutzungsänderungs-Systemen"],["dc.relation.issn","2542-1565"],["dc.relation.issn","2071-9388"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.subject.gro","sfb990_journalarticles"],["dc.title","Effects Of The 2015–2016 El Niño Event On Energy And CO2 Fluxes Of A Tropical Rainforest In Central Sulawesi, Indonesia"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","131"],["dc.bibliographiccitation.issue","1-2"],["dc.bibliographiccitation.journal","Ecological Modelling"],["dc.bibliographiccitation.lastpage","137"],["dc.bibliographiccitation.volume","212"],["dc.contributor.author","Olchev, A."],["dc.contributor.author","Ibrom, A."],["dc.contributor.author","Priess, J."],["dc.contributor.author","Erasmi, S."],["dc.contributor.author","Leemhuis, Constanze"],["dc.contributor.author","Twele, Andre"],["dc.contributor.author","Radler, K. H."],["dc.contributor.author","Kreilein, Heinrich"],["dc.contributor.author","Panferov, Oleg"],["dc.contributor.author","Gravenhorst, Gode"],["dc.date.accessioned","2018-11-07T11:17:04Z"],["dc.date.accessioned","2020-05-11T13:29:09Z"],["dc.date.available","2018-11-07T11:17:04Z"],["dc.date.available","2020-05-11T13:29:09Z"],["dc.date.issued","2008"],["dc.description.abstract","The impact of deforestation and land-use changes on evapotranspiration of mountainous tropical rain forest area in the northern part of the Lore-Lindu National Park (LLNP) in Central Sulawesi (Indonesia) was quantified using a regional process-based SVAT model \"SVAT-Regio\". Description of evapotranspiration of a non-uniform land surface in local and regional scales in SVAT-Regio is based on equations of energy and water balances of individual plants, plant canopy and soil layers for each of many grid cells into which the entire study area is divided. The model uses a multi-layered representation of vegetation cover and soil structure that allows to describe the partitioning of energy and H2O-fluxes among different canopy layers and soil, and to quantify more precisely the total ecosystem fluxes. Selective integration of grid cell fluxes on space and time allows estimating the energy and water fluxes for e.g. ecosystems, catchments or entire study area for different time spans from 1 day to several years. September of 2004 was selected as a test period for modelling experiments. The regional patterns of meteorological parameters were reconstructed using measurements provided by 10 mobile meteorological stations. Ecophysiological parameters for different vegetation types were determined from own measurements as well as from results of previous scientific studies in the area. The present spatial distribution of the different land-use types was described from analysis of LANDSAT ETM+ observations. The spatial pattern of leaf area index (LAI) was derived from analysis of NDVI data (calculated from LANDSAT ETM+ data) and field measurements at key experimental plots. A deforestation scenario (allowing for mainly anthropogenic impacts) which was applied in this study assumes a relatively strong decrease of the areas covered by tropical rain forests, i.e. about 15%, and an increase of agricultural (coffee plantations, corn and rice fields) and urban areas. Moreover, the scenario assumes a small increase of grassland areas as well. The results of modelling experiments show that 15% deforestation of the study area results in relatively small decrease of monthly evapotranspiration by about 2%, transpiration by about 6% and interception evaporation by about 5%, as well as an increase of soil evaporation by about 21%. The evapotranspiration decrease was highest in days with cloudy and rainy weather conditions, and lowest in sunny and dry days. (c) 2007 Elsevier B.V. All rights reserved."],["dc.identifier.doi","10.1016/j.ecolmodel.2007.10.022"],["dc.identifier.isi","000254227100017"],["dc.identifier.scopus","2-s2.0-38949186752"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65057"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/54725"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-38949186752&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","0304-3800"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.title","Effects of land-use changes on evapotranspiration of tropical rain forest margin area in Central Sulawesi (Indonesia): Modelling study with a regional SVAT model"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.journal","Ecological Modelling"],["dc.bibliographiccitation.lastpage","10"],["dc.bibliographiccitation.volume","292"],["dc.contributor.author","Yuan, Wenping"],["dc.contributor.author","Cai, Wenwen"],["dc.contributor.author","Liu, Shuguang"],["dc.contributor.author","Dong, Wenjie"],["dc.contributor.author","Chen, Jiquan"],["dc.contributor.author","Arain, M. Altaf"],["dc.contributor.author","Blanken, Peter D."],["dc.contributor.author","Cescatti, Alessandro"],["dc.contributor.author","Wohlfahrt, Georg"],["dc.contributor.author","Georgiadis, Teodoro"],["dc.contributor.author","Genesio, Lorenzo"],["dc.contributor.author","Gianelle, Damiano"],["dc.contributor.author","Grelle, Achim"],["dc.contributor.author","Kiely, Gerard"],["dc.contributor.author","Knohl, Alexander"],["dc.contributor.author","Liu, Dan"],["dc.contributor.author","Marek, Michal V."],["dc.contributor.author","Merbold, Lutz"],["dc.contributor.author","Montagnani, Leonardo"],["dc.contributor.author","Panferov, Oleg"],["dc.contributor.author","Peltoniemi, Mikko"],["dc.contributor.author","Rambal, Serge"],["dc.contributor.author","Raschi, Antonio"],["dc.contributor.author","Varlagin, Andrej"],["dc.contributor.author","Xia, Jiangzhou"],["dc.date.accessioned","2018-11-07T09:32:30Z"],["dc.date.available","2018-11-07T09:32:30Z"],["dc.date.issued","2014"],["dc.description.abstract","Models of gross primary production (GPP) based on remote sensing measurements are currently parameterized with vegetation-specific parameter sets and therefore require accurate information on the distribution of vegetation to drive them. Can this parameterization scheme be replaced with a vegetation-invariant set of parameters that can maintain or increase model applicability by reducing errors introduced from the uncertainty of land cover classification? Based on the measurements of ecosystem carbon fluxes from 168 globally distributed sites in a range of vegetation types, we examined the predictive capacity of seven light use efficiency (LUE) models. Two model experiments were conducted: (i) a constant set of parameters for various vegetation types and (ii) vegetation-specific parameters. The results showed no significant differences in model performance in simulating GPP while using both set of parameters. These results indicate that a universal of set of parameters, which is independent of vegetation cover type and characteristics can be adopted in prevalent LUE models. Availability of this well tested and universal set of parameters would help to improve the accuracy and applicability of LUE models in various biomes and geographic regions. (C) 2014 Elsevier B.V. All rights reserved."],["dc.identifier.doi","10.1016/j.ecolmodel.2014.08.017"],["dc.identifier.isi","000343845400001"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/31772"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Bv"],["dc.relation.issn","1872-7026"],["dc.relation.issn","0304-3800"],["dc.title","Vegetation-specific model parameters are not required for estimating gross primary production"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","229"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Boundary-Layer Meteorology"],["dc.bibliographiccitation.lastpage","266"],["dc.bibliographiccitation.volume","121"],["dc.contributor.author","Sogachev, Andrey"],["dc.contributor.author","Panferov, Oleg"],["dc.date.accessioned","2018-11-07T08:59:47Z"],["dc.date.available","2018-11-07T08:59:47Z"],["dc.date.issued","2006"],["dc.description.abstract","A modification of the most popular two-equation (E-phi) models, taking into account the plant drag, is proposed. Here E is the turbulent kinetic energy (TKE) and phi is any of the following variables: El (product of E and the mixing length l), epsilon (dissipation rate of TKE), and omega (specific dissipation of TKE, omega = epsilon/E). The proposed modification is due to the fact that the model constants estimated experimentally for 'free-air' flow do not allow for adequate reconstruction of the ratio between the production and dissipation rates of TKE in the vegetation canopy and have to be adjusted. The modification is universal, i.e. of the same type for all E-phi models considered. The numerical experiments carried out for both homogeneous and heterogeneous plant canopies with E-phi models (and with the E-l model taken as a kind of reference) show that the modification performs well. They also suggest that E-epsilon and E-omega schemes are more promising than the E-El scheme for canopy flow simulation since they are not limited by the need to use a wall function. In addition, a new parameterization for enhanced dissipation within the plant canopy is derived. It minimizes the model sensitivity to C mu, the key parameter for two-equation schemes, and whose estimates unfortunately vary considerably from experiment to experiment. The comparison of results of new modified E-epsilon and E-omega models with observations from both field and wind-tunnel experiments shows that the proposed parameterization is quite robust. However, because of uncertainties with the turbulence Prandtl and Schmidt numbers for the E-epsilon model within the canopy, the E-omega model is recommended for future implementation, with the suggested modifications."],["dc.identifier.doi","10.1007/s10546-006-9073-5"],["dc.identifier.isi","000241748000002"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/23991"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","0006-8314"],["dc.title","Modification of two-equation models to account for plant drag"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","38"],["dc.bibliographiccitation.journal","International Journal of Applied Earth Observation and Geoinformation"],["dc.bibliographiccitation.lastpage","46"],["dc.bibliographiccitation.volume","25"],["dc.contributor.author","Propastin, Pavel A."],["dc.contributor.author","Panferov, Oleg"],["dc.date.accessioned","2018-11-07T09:17:25Z"],["dc.date.available","2018-11-07T09:17:25Z"],["dc.date.issued","2013"],["dc.description.abstract","A time series of leaf area index (LAI) of a managed birch forest in Germany (near Dresden) has been developed based on 16-day normalized difference vegetation index (NDVI) data from the Landsat ETM+ sensor at 30 m resolution. The Landsat ETM+ LAI was retrieved using a modified physical radiative transfer (RTM) model which establishes a relationship between LAI, fractional vegetation cover (fC), and given patterns of surface reflectance, view-illumination conditions and optical properties of vegetation. In situ measurements of photosynthetically active radiation (PAR) and vegetation structure parameters using hemispherical photography (HSP) served for calibration of model parameters, while data from litter collection at the study site provided the ground-based estimates of LAI for validation of modelling results. Influence of view-illumination conditions on optical properties of canopy was simulated by a view angle geometry model incorporating the solar zenith angle and the sensor viewing angle. Effects of intra-annual and inter-annual variability of structural properties of the canopy on the light extinction coefficient were simulated by implementing variability of the leaf inclination angle (LIA), which was confirmed in the study site. The results revealed good compatibility of the produced Landsat ETM+ LAI data set with the litter-estimated LAI. The results also showed high sensitivity of the LAI retrieval algorithm to variability of structural properties of the canopy: the implementation of LIA dynamics into the LAI retrieval algorithm significantly improved the model accuracy. (C) 2013 Elsevier B.V. All rights reserved."],["dc.description.sponsorship","DFG (German Research Foundation)"],["dc.identifier.doi","10.1016/j.jag.2013.02.006"],["dc.identifier.isi","000322099700005"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/28163"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","0303-2434"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.title","Retrieval of remotely sensed LAI using Landsat ETM plus data and ground measurements of solar radiation and vegetation structure: Implication of leaf inclination angle"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","746"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Agricultural and Forest Meteorology"],["dc.bibliographiccitation.lastpage","754"],["dc.bibliographiccitation.volume","151"],["dc.contributor.author","Sogachev, A."],["dc.contributor.author","Panferov, Oleg"],["dc.contributor.author","Ahrends, Bernd"],["dc.contributor.author","Doering, C."],["dc.contributor.author","Jorgensen, H. E."],["dc.date.accessioned","2018-11-07T08:55:06Z"],["dc.date.available","2018-11-07T08:55:06Z"],["dc.date.issued","2011"],["dc.description.abstract","There are many natural and anthropogenic reasons why a gap can occur inside the forest. When a gap appears within a studied stand (e.g. near a flux tower which operated for some time, providing information about the ecosystem-atmosphere exchange), an assessment of new measurement conditions should be carried out. Using a three-dimensional approach for footprint estimation based on numerical solution of Reynolds-Averaged Navier-Stokes (RANS) equations, we investigated possible changes in air flow and CO2 flux footprints resulting from two suggested forest management activities - clear-cut and stripe-cut - around the flux tower located in 130-year-old spruce forest in the Soiling highland, Germany. The model results show that degree of changes in flux footprints depends on the chosen management strategy. The clear-cut strategy produces the largest changes and the stripe-cut leads to weaker changes of investigated characteristics. The role of remote canopy sources increases, while the contribution of remote soil sources decreases with increased share of removed trees. In general, the investigated characteristics change differently for summer and winter due to the combined effects of phenology and upwind topography. (C) 2010 Elsevier B.V. All rights reserved."],["dc.identifier.doi","10.1016/j.agrformet.2010.10.010"],["dc.identifier.isi","000290193500009"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/22827"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Bv"],["dc.publisher.place","Amsterdam"],["dc.relation.conference","International Conference on Atmospheric Transport and Chemistry in Forest Ecosystems"],["dc.relation.eventlocation","Bayreuth, GERMANY"],["dc.relation.issn","0168-1923"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.title","Numerical assessment of the effect of forest structure changes on CO2 flux footprints for the flux tower in Soiling, Germany"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]