Seidel, Dominik

[["dc.bibliographiccitation.artnumber","1854"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","Remote Sensing"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Seidel, Dominik"],["dc.contributor.author","Annighöfer, Peter J."],["dc.contributor.author","Ehbrecht, Martin"],["dc.contributor.author","Magdon, Paul"],["dc.contributor.author","Wöllauer, Stephan"],["dc.contributor.author","Ammer, Christian"],["dc.date.accessioned","2020-08-17T05:33:08Z"],["dc.date.available","2020-08-17T05:33:08Z"],["dc.date.issued","2020"],["dc.description.abstract","The three-dimensional forest structure is an important driver of several ecosystem functions and services. Recent advancements in laser scanning technologies have set the path to measuring structural complexity directly from 3D point clouds. Here, we show that the box-dimension (Db) from fractal analysis, a measure of structural complexity, can be obtained from airborne laser scanning data. Based on 66 plots across different forest types in Germany, each 1 ha in size, we tested the performance of the Db by evaluating it against conventional ground-based measures of forest structure and commonly used stand characteristics. We found that the Db was related (0.34 < R < 0.51) to stand age, management intensity, microclimatic stability, and several measures characterizing the overall stand structural complexity. For the basal area, we could not find a significant relationship, indicating that structural complexity is not tied to the basal area of a forest. We also showed that Db derived from airborne data holds the potential to distinguish forest types, management types, and the developmental phases of forests. We conclude that the box-dimension is a promising measure to describe the structural complexity of forests in an ecologically meaningful way."],["dc.description.sponsorship","Deutsche Forschungsgemeinschaft"],["dc.identifier.doi","10.3390/rs12111854"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/67577"],["dc.language.iso","en"],["dc.notes.intern","DeepGreen Import"],["dc.publisher","MDPI"],["dc.relation.eissn","2072-4292"],["dc.relation.issn","2072-4292"],["dc.rights","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Deriving Stand Structural Complexity from Airborne Laser Scanning Data—What Does It Tell Us about a Forest?"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","100231"],["dc.bibliographiccitation.journal","Trees, Forests and People"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Willim, Katharina"],["dc.contributor.author","Ammer, Christian"],["dc.contributor.author","Seidel, Dominik"],["dc.contributor.author","Annighöfer, Peter"],["dc.contributor.author","Schmucker, Julia"],["dc.contributor.author","Schall, Peter"],["dc.contributor.author","Ehbrecht, Martin"],["dc.date.accessioned","2022-06-01T08:39:11Z"],["dc.date.available","2022-06-01T08:39:11Z"],["dc.date.issued","2022"],["dc.description.abstract","The dynamics of forest structure influence forest ecosystem functions and are modified by forest management and natural disturbances. Here, we quantified the dynamics of stand structural complexity of differently managed and unmanaged European beech (Fagus sylvatica L.) forests. We determined changes of different aspects of stand structural complexity between 2014 and 2019 using terrestrial laser scanning data from 42, one hectare-sized forest plots, representing even - aged forest management, uneven - aged forest management and unmanaged stands. Unmanaged forests showed no significant changes in stand structural complexity within the time frame investigated, due to the absence of major disturbances. On the contrary, managed uneven - aged and even - aged forest stands showed more pronounced dynamics in stand structural complexity than the unmanaged forests. In this context, uneven - aged stands with higher initial canopy openness showed a higher increase in structural complexity than stands with lower canopy openness, which could be attributed to growth responses of understory vegetation in lower strata due to improved light availability at the beginning of the observed time period. Dynamics of structural complexity under even - aged forest management strongly differed between different developmental stages, with young thickets and mature timber stands showing highest increases in stand structural complexity. Overall, we did not observe significant decreases in stand structural complexity within the observed time frame. Our findings need to be viewed in the context of long-term dynamics of forest structure and contribute to the understanding of how forest management can affect short - term structural dynamics in beech forests."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2022"],["dc.identifier.doi","10.1016/j.tfp.2022.100231"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/108333"],["dc.language.iso","en"],["dc.relation.issn","2666-7193"],["dc.relation.orgunit","Fakultät für Forstwissenschaften und Waldökologie"],["dc.rights","CC BY 4.0"],["dc.title","Short - term dynamics of structural complexity in differently managed and unmanaged European beech forests"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","Forests"],["dc.bibliographiccitation.volume","13"],["dc.contributor.affiliation","Höwler, Kirsten; 1Spatial Structures and Digitization of Forests, Faculty of Forest Sciences, University of Göttingen, Büsgenweg 1, 37077 Göttingen, Germany"],["dc.contributor.affiliation","Seidel, Dominik; 1Spatial Structures and Digitization of Forests, Faculty of Forest Sciences, University of Göttingen, Büsgenweg 1, 37077 Göttingen, Germany"],["dc.contributor.affiliation","Krenn, Tobias; 2Fraunhofer Institute for Wood Research, Wilhelm-Klauditz-Institut (WKI), Bienroder Weg 54E, 38108 Braunschweig, Germany"],["dc.contributor.affiliation","Berthold, Dirk; 2Fraunhofer Institute for Wood Research, Wilhelm-Klauditz-Institut (WKI), Bienroder Weg 54E, 38108 Braunschweig, Germany"],["dc.contributor.affiliation","Ehbrecht, Martin; 3Silviculture and Forest Ecology of the Temperate Zones, Faculty of Forest Sciences, University of Göttingen, Büsgenweg 1, 37077 Göttingen, Germany"],["dc.contributor.affiliation","Müller, Jan; 4Faculty of Resource Management, University of Applied Sciences and Art Hildesheim/Holzminden/Göttingen, Büsgenweg 1a, 37077 Göttingen, Germany"],["dc.contributor.affiliation","Kietz, Bettina; 4Faculty of Resource Management, University of Applied Sciences and Art Hildesheim/Holzminden/Göttingen, Büsgenweg 1a, 37077 Göttingen, Germany"],["dc.contributor.author","Höwler, Kirsten"],["dc.contributor.author","Seidel, Dominik"],["dc.contributor.author","Krenn, Tobias"],["dc.contributor.author","Berthold, Dirk"],["dc.contributor.author","Ehbrecht, Martin"],["dc.contributor.author","Müller, Jan"],["dc.contributor.author","Kietz, Bettina"],["dc.date.accessioned","2022-12-07T15:46:22Z"],["dc.date.available","2022-12-07T15:46:22Z"],["dc.date.issued","2022-11-14"],["dc.date.updated","2022-12-07T10:58:20Z"],["dc.description.abstract","Norway spruce (Picea abies (L.) H.Karst) trees planted with high stem densities produce finely branched, solid logs but are vulnerable to extreme weather events, e.g., storms. Over the last decades spruce stands have been planted at lower stand densities, resulting in wider crowns, lower crown bases, and higher stand stability, but this might decrease the quality of coniferous timber due to an increased growing rate and wider annual rings. Therefore, in this case study we investigated the influence of different silvicultural treatments and stand densities on tree morphology and wood properties of 100 spruce trees up to sawn timber as the final product. Tree morphology was assessed using mobile laser scanning. Ring width analysis, wood density measurements, and the four-point bending strength test on visually graded boards were conducted to gain information on wood properties and product quality. In stands thinned from below, higher wood densities were observed due to smaller annual rings compared to stands that were thinned from above at equal annual ring widths. In addition, crown asymmetry and the height-to-diameter ratio were identified as proxies for wood density. Lastly, visually assessed quality differences between the forest stands were discerned on the examined boards."],["dc.description.sponsorship","Fachagentur Nachwachsende Rohstoffe e. V. (FNR)"],["dc.description.sponsorship","Federal Ministry of Food and Agriculture"],["dc.identifier.doi","10.3390/f13111910"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/118468"],["dc.language.iso","en"],["dc.relation.eissn","1999-4907"],["dc.rights","CC BY 4.0"],["dc.title","Evaluation of Softwood Timber Quality—A Case Study on Two Silvicultural Systems in Central Germany"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Frontiers in Plant Science"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Seidel, Dominik"],["dc.contributor.author","Annighöfer, Peter"],["dc.contributor.author","Thielman, Anton"],["dc.contributor.author","Seifert, Quentin Edward"],["dc.contributor.author","Thauer, Jan-Henrik"],["dc.contributor.author","Glatthorn, Jonas"],["dc.contributor.author","Ehbrecht, Martin"],["dc.contributor.author","Kneib, Thomas"],["dc.contributor.author","Ammer, Christian"],["dc.contributor.orcid","0000-0001-8674-1309"],["dc.creator.author","Seifert, Quentin Edward"],["dc.date.accessioned","2021-04-14T08:27:58Z"],["dc.date.available","2021-04-14T08:27:58Z"],["dc.date.issued","2021"],["dc.description.abstract","Automated species classification from 3D point clouds is still a challenge. It is, however, an important task for laser scanning-based forest inventory, ecosystem models, and to support forest management. Here, we tested the performance of an image classification approach based on convolutional neural networks (CNNs) with the aim to classify 3D point clouds of seven tree species based on 2D representation in a computationally efficient way. We were particularly interested in how the approach would perform with artificially increased training data size based on image augmentation techniques. Our approach yielded a high classification accuracy (86%) and the confusion matrix revealed that despite rather small sample sizes of the training data for some tree species, classification accuracy was high. We could partly relate this to the successful application of the image augmentation technique, improving our result by 6% in total and 13, 14, and 24% for ash, oak and pine, respectively. The introduced approach is hence not only applicable to small-sized datasets, it is also computationally effective since it relies on 2D instead of 3D data to be processed in the CNN. Our approach was faster and more accurate when compared to the point cloud-based “PointNet” approach."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.3389/fpls.2021.635440"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82461"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.publisher","Frontiers Media"],["dc.relation.eissn","1664-462X"],["dc.relation.orgunit","Fakultät für Forstwissenschaften und Waldökologie"],["dc.rights","CC BY 4.0"],["dc.title","Predicting Tree Species From 3D Laser Scanning Point Clouds Using Deep Learning"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

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[["dc.bibliographiccitation.firstpage","7134"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Ecology and Evolution"],["dc.bibliographiccitation.lastpage","7142"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Seidel, Dominik"],["dc.contributor.author","Annighöfer, Peter"],["dc.contributor.author","Stiers, Melissa"],["dc.contributor.author","Zemp, Clara Delphine"],["dc.contributor.author","Burkardt, Katharina"],["dc.contributor.author","Ehbrecht, Martin"],["dc.contributor.author","Willim, Katharina"],["dc.contributor.author","Kreft, Holger"],["dc.contributor.author","Hölscher, Dirk"],["dc.contributor.author","Ammer, Christian"],["dc.date.accessioned","2020-12-10T14:06:03Z"],["dc.date.available","2020-12-10T14:06:03Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1002/ece3.5281"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16548"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/69760"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.relation","SFB 990: Ökologische und sozioökonomische Funktionen tropischer Tieflandregenwald-Transformationssysteme (Sumatra, Indonesien)"],["dc.relation","SFB 990 | B | B11: Biodiversitäts-Anreicherung in Ölpalmen-Plantagen: Pflanzliche Sukzession und Integration"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.gro","sfb990_journalarticles"],["dc.title","How a measure of tree structural complexity relates to architectural benefit‐to‐cost ratio, light availability, and growth of trees"],["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","4955"],["dc.bibliographiccitation.issue","23"],["dc.bibliographiccitation.journal","Remote Sensing"],["dc.bibliographiccitation.volume","13"],["dc.contributor.affiliation","Uzquiano, Sara; 1Instituto Universitario de Investigación y Gestión Forestal Sostenible—iuFOR, Universidad de Valladolid—INIA, Avda. Madrid s/n, 34004 Palencia, Spain; roberto.smartin@uva.es (R.S.M.); fbravo@pvs.uva.es (F.B.)"],["dc.contributor.affiliation","Barbeito, Ignacio; 3Department of Forest Resources Management, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada; ignacio.barbeito@ubc.ca"],["dc.contributor.affiliation","San Martín, Roberto; 1Instituto Universitario de Investigación y Gestión Forestal Sostenible—iuFOR, Universidad de Valladolid—INIA, Avda. Madrid s/n, 34004 Palencia, Spain; roberto.smartin@uva.es (R.S.M.); fbravo@pvs.uva.es (F.B.)"],["dc.contributor.affiliation","Ehbrecht, Martin; 5Department of Silviculture and Forest Ecology of the Temperate Zones, Faculty of Forest Science, University of Göttingen, Büsgenweg 1, 37077 Göttingen, Germany; martin.ehbrecht@forst.uni-goettingen.de"],["dc.contributor.affiliation","Seidel, Dominik; 6Department for Spatial Structures and Digitization of Forests, Faculty of Forest Science, University of Göttingen, Büsgenweg 1, 37077 Göttingen, Germany; dseidel@gwdg.de"],["dc.contributor.affiliation","Bravo, Felipe; 1Instituto Universitario de Investigación y Gestión Forestal Sostenible—iuFOR, Universidad de Valladolid—INIA, Avda. Madrid s/n, 34004 Palencia, Spain; roberto.smartin@uva.es (R.S.M.); fbravo@pvs.uva.es (F.B.)"],["dc.contributor.author","Uzquiano, Sara"],["dc.contributor.author","Barbeito, Ignacio"],["dc.contributor.author","San Martín, Roberto"],["dc.contributor.author","Ehbrecht, Martin"],["dc.contributor.author","Seidel, Dominik"],["dc.contributor.author","Bravo, Felipe"],["dc.contributor.editor","Eichhorn, Markus"],["dc.contributor.editor","Yun, Ting"],["dc.date.accessioned","2022-02-01T10:31:51Z"],["dc.date.available","2022-02-01T10:31:51Z"],["dc.date.issued","2021"],["dc.date.updated","2022-02-09T13:20:06Z"],["dc.description.abstract","Mixed forests make up the majority of natural forests, and they are conducive to improving the resilience and resistance of forest ecosystems. Moreover, it is in the crown of the trees where the effect of inter- and intra-specific interaction between them is evident. However, our knowledge of changes in crown morphology caused by density, competition, and mixture of specific species is still limited. Here, we provide insight on stand structural complexity based on the study of four response crown variables (Maximum Crown Width Height, MCWH; Crown Base Height, CBH; Crown Volume, CV; and Crown Projection Area, CPA) derived from multiple terrestrial laser scans. Data were obtained from six permanent plots in Northern Spain comprising of two widespread species across Europe; Scots pine (Pinus sylvestris L.) and sessile oak (Quercus petraea (Matt.) Liebl.). A total of 193 pines and 256 oaks were extracted from the point cloud. Correlation test were conducted (ρ ≥ 0.9) and finally eleven independent variables for each target tree were calculated and categorized into size, density, competition and mixture, which was included as a continuous variable. Linear and non-linear multiple regressions were used to fit models to the four crown variables and the best models were selected according to the lowest AIC Index and biological sense. Our results provide evidence for species plasticity to diverse neighborhoods and show complementarity between pines and oaks in mixtures, where pines have higher MCWH and CBH than oaks but lower CV and CPA, contrary to oaks. The species complementarity in crown variables confirm that mixtures can be used to increase above ground structural diversity."],["dc.description.abstract","Mixed forests make up the majority of natural forests, and they are conducive to improving the resilience and resistance of forest ecosystems. Moreover, it is in the crown of the trees where the effect of inter- and intra-specific interaction between them is evident. However, our knowledge of changes in crown morphology caused by density, competition, and mixture of specific species is still limited. Here, we provide insight on stand structural complexity based on the study of four response crown variables (Maximum Crown Width Height, MCWH; Crown Base Height, CBH; Crown Volume, CV; and Crown Projection Area, CPA) derived from multiple terrestrial laser scans. Data were obtained from six permanent plots in Northern Spain comprising of two widespread species across Europe; Scots pine (Pinus sylvestris L.) and sessile oak (Quercus petraea (Matt.) Liebl.). A total of 193 pines and 256 oaks were extracted from the point cloud. Correlation test were conducted (ρ ≥ 0.9) and finally eleven independent variables for each target tree were calculated and categorized into size, density, competition and mixture, which was included as a continuous variable. Linear and non-linear multiple regressions were used to fit models to the four crown variables and the best models were selected according to the lowest AIC Index and biological sense. Our results provide evidence for species plasticity to diverse neighborhoods and show complementarity between pines and oaks in mixtures, where pines have higher MCWH and CBH than oaks but lower CV and CPA, contrary to oaks. The species complementarity in crown variables confirm that mixtures can be used to increase above ground structural diversity."],["dc.identifier.doi","10.3390/rs13234955"],["dc.identifier.eissn","2072-4292"],["dc.identifier.pii","rs13234955"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/98962"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-517"],["dc.publisher","MDPI"],["dc.relation.eissn","2072-4292"],["dc.rights","Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)."],["dc.title","Quantifying Crown Morphology of Mixed Pine-Oak Forests Using Terrestrial Laser Scanning"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Nature Communications"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Ehbrecht, Martin"],["dc.contributor.author","Seidel, Dominik"],["dc.contributor.author","Annighöfer, Peter"],["dc.contributor.author","Kreft, Holger"],["dc.contributor.author","Köhler, Michael"],["dc.contributor.author","Zemp, Delphine Clara"],["dc.contributor.author","Puettmann, Klaus"],["dc.contributor.author","Nilus, Reuben"],["dc.contributor.author","Babweteera, Fred"],["dc.contributor.author","Willim, Katharina"],["dc.contributor.author","Stiers, Melissa"],["dc.contributor.author","Soto, Daniel"],["dc.contributor.author","Boehmer, Hans Juergen"],["dc.contributor.author","Fisichelli, Nicholas"],["dc.contributor.author","Burnett, Michael"],["dc.contributor.author","Juday, Glenn"],["dc.contributor.author","Stephens, Scott L."],["dc.contributor.author","Ammer, Christian"],["dc.date.accessioned","2021-04-14T08:30:18Z"],["dc.date.available","2021-04-14T08:30:18Z"],["dc.date.issued","2021"],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.1038/s41467-020-20767-z"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83183"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","2041-1723"],["dc.relation.orgunit","Zentrum für Biodiversität und Nachhaltige Landnutzung"],["dc.rights","CC BY 4.0"],["dc.title","Global patterns and climatic controls of forest structural complexity"],["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","1513"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","Remote Sensing"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Seidel, Dominik"],["dc.contributor.author","Annighöfer, Peter"],["dc.contributor.author","Ammer, Christian"],["dc.contributor.author","Ehbrecht, Martin"],["dc.contributor.author","Willim, Katharina"],["dc.contributor.author","Bannister, Jan"],["dc.contributor.author","Soto, Daniel P."],["dc.date.accessioned","2021-06-01T09:42:42Z"],["dc.date.available","2021-06-01T09:42:42Z"],["dc.date.issued","2021"],["dc.description.abstract","The structural complexity of the understory layer of forests or shrub layer vegetation in open shrublands affects many ecosystem functions and services provided by these ecosystems. We investigated how the basal area of the overstory layer, annual and seasonal precipitation, annual mean temperature, as well as light availability affect the structural complexity of the understory layer along a gradient from closed forests to open shrubland with only scattered trees. Using terrestrial laser scanning data and the understory complexity index (UCI), we measured the structural complexity of sites across a wide range of precipitation and temperature, also covering a gradient in light availability and basal area. We found significant relationships between the UCI and tree basal area as well as canopy openness. Structural equation models (SEMs) confirmed significant direct effects of seasonal precipitation on the UCI without mediation through basal area or canopy openness. However, annual precipitation and temperature effects on the UCI are mediated through canopy openness and basal area, respectively. Understory complexity is, despite clear dependencies on the available light and overall stand density, significantly and directly driven by climatic parameters, particularly the amount of precipitation during the driest month."],["dc.description.sponsorship","Deutsche Forschungsgemeinschaft"],["dc.description.sponsorship","Fondo Nacional de Desarrollo Científico y Tecnológico"],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.3390/rs13081513"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/85323"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.relation.eissn","2072-4292"],["dc.relation.orgunit","Fakultät für Forstwissenschaften und Waldökologie"],["dc.rights","CC BY 4.0"],["dc.title","Quantifying Understory Complexity in Unmanaged Forests Using TLS and Identifying Some of Its Major Drivers"],["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","1907"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Remote Sensing"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Willim, Katharina"],["dc.contributor.author","Stiers, Melissa"],["dc.contributor.author","Annighöfer, Peter"],["dc.contributor.author","Ehbrecht, Martin"],["dc.contributor.author","Ammer, Christian"],["dc.contributor.author","Seidel, Dominik"],["dc.date.accessioned","2021-04-14T08:25:01Z"],["dc.date.available","2021-04-14T08:25:01Z"],["dc.date.issued","2020"],["dc.description.sponsorship","Deutsche Forschungsgemeinschaft"],["dc.description.sponsorship","Research funds"],["dc.identifier.doi","10.3390/rs12121907"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/81497"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.publisher","MDPI"],["dc.relation.eissn","2072-4292"],["dc.rights","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Spatial Patterns of Structural Complexity in Differently Managed and Unmanaged Beech-Dominated Forests in Central Europe"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]