Seidel, Dominik

[["dc.bibliographiccitation.firstpage","107699"],["dc.bibliographiccitation.journal","Agricultural and Forest Meteorology"],["dc.bibliographiccitation.volume","278"],["dc.contributor.author","Seidel, Dominik"],["dc.contributor.author","Ehbrecht, Martin"],["dc.contributor.author","Annighöfer, Peter"],["dc.contributor.author","Ammer, Christian"],["dc.date.accessioned","2020-12-10T14:22:17Z"],["dc.date.available","2020-12-10T14:22:17Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1016/j.agrformet.2019.107699"],["dc.identifier.issn","0168-1923"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/71566"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","From tree to stand-level structural complexity — Which properties make a forest stand complex?"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","212"],["dc.bibliographiccitation.journal","Forest Ecology and Management"],["dc.bibliographiccitation.lastpage","223"],["dc.bibliographiccitation.volume","380"],["dc.contributor.author","Ehbrecht, Martin"],["dc.contributor.author","Schall, Peter"],["dc.contributor.author","Juchheim, Julia"],["dc.contributor.author","Ammer, Christian"],["dc.contributor.author","Seidel, Dominik"],["dc.date.accessioned","2017-09-07T11:47:20Z"],["dc.date.available","2017-09-07T11:47:20Z"],["dc.date.issued","2016"],["dc.identifier.doi","10.1016/j.foreco.2016.09.003"],["dc.identifier.gro","3146736"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/4532"],["dc.notes.status","final"],["dc.publisher","Elsevier BV"],["dc.relation.issn","0378-1127"],["dc.title","Effective number of layers: A new measure for quantifying three-dimensional stand structure based on sampling with terrestrial LiDAR"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","106564"],["dc.bibliographiccitation.journal","Agriculture, Ecosystems & Environment"],["dc.bibliographiccitation.volume","283"],["dc.contributor.author","Zemp, Delphine Clara"],["dc.contributor.author","Ehbrecht, Martin"],["dc.contributor.author","Seidel, Dominik"],["dc.contributor.author","Ammer, Christian"],["dc.contributor.author","Craven, Dylan"],["dc.contributor.author","Erkelenz, Joshua"],["dc.contributor.author","Irawan, Bambang"],["dc.contributor.author","Sundawati, Leti"],["dc.contributor.author","Hölscher, Dirk"],["dc.contributor.author","Kreft, Holger"],["dc.date.accessioned","2020-06-17T07:44:45Z"],["dc.date.available","2020-06-17T07:44:45Z"],["dc.date.issued","2019"],["dc.description.abstract","Conversion of structurally complex rainforests into simplified oil palm monocultures leads to dramatic losses of biodiversity and ecosystem functioning. To alleviate negative ecological impacts, enrichment with native tree species may rapidly restore structural complexity in existing oil palm plantations. However, the mechanisms underlying the recovery of structural complexity in mixed-species tree plantings remain poorly understood. We measured structural complexity from terrestrial laser scanning in a biodiversity enrichment experiment with multiple tree species planted in an oil palm monoculture, forming agroforestry plots of varying tree species diversity and plot size. We find that three years after tree planting, structural complexity in oil palm increased by one third, representing 25% of the increase needed to restore the structural complexity of tropical forests. Changes in structural complexity were associated with denser and more complex filling of three-dimensional space, whereas vertical stratification was mainly influenced by oil palm. Furthermore, structural complexity increased with tree species diversity in the agroforestry plots. This relationship was mainly due the presence of well-performing species that contributed to higher levels of structural complexity. However, interactions among multiple species independently from the species identity were also detected. Finally, increasing plot size had a positive effect on a scale-independent measure of structural complexity. Our results provide evidence that planting multiple tree species in large agroforestry plots is a suitable strategy to rapidly enhance structural complexity in oil palm plantations."],["dc.identifier.doi","10.1016/j.agee.2019.06.003"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/66410"],["dc.language.iso","en"],["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.relation.issn","0167-8809"],["dc.relation.orgunit","Zentrum für Biodiversität und Nachhaltige Landnutzung"],["dc.subject.gro","sfb990_journalarticles"],["dc.title","Mixed-species tree plantings enhance structural complexity in oil palm plantations"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["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","1"],["dc.bibliographiccitation.journal","Agricultural and Forest Meteorology"],["dc.bibliographiccitation.lastpage","9"],["dc.bibliographiccitation.volume","242"],["dc.contributor.author","Ehbrecht, Martin"],["dc.contributor.author","Schall, Peter"],["dc.contributor.author","Ammer, Christian"],["dc.contributor.author","Seidel, Dominik"],["dc.date.accessioned","2017-12-19T13:32:12Z"],["dc.date.available","2017-12-19T13:32:12Z"],["dc.date.issued","2017"],["dc.description.abstract","Measures to describe stand structural complexity efficiently and objectively are increasingly demanded to understand the relationship between forest management, stand structure, biodiversity and ecosystem functioning. Here, we present an approach to quantify stand structural complexity based on fractal dimension derived from single terrestrial laser scans (TLS) that were made on 126 permanent forest research plots in Germany, representing major stand and management types. The newly developed SSC-index (SSCI) was positively correlated to conventional tree-based measures of stand structural complexity, tree size differentiation, diversity of tree diameters and random tree spacing patterns. Beyond that, it successfully differentiated between stand types of different main tree species and management systems. SSCI increased from low to high tree species diversity and explained microclimatic fluctuations better than conventional, tree-based measures. Given the high efficiency during data collection, TLS can be used to assess stand structural complexity for large sample sizes to provide an explanatory variable for the effects of forest management on biodiversity, productivity and ecosystem processes."],["dc.identifier.doi","10.1016/j.agrformet.2017.04.012"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/11502"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.title","Quantifying stand structural complexity and its relationship with forest management, tree species diversity and microclimate"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","357"],["dc.bibliographiccitation.journal","Forest Ecology and Management"],["dc.bibliographiccitation.lastpage","365"],["dc.bibliographiccitation.volume","430"],["dc.contributor.author","Stiers, Melissa"],["dc.contributor.author","Willim, Katharina"],["dc.contributor.author","Seidel, Dominik"],["dc.contributor.author","Ehbrecht, Martin"],["dc.contributor.author","Kabal, Myroslav"],["dc.contributor.author","Ammer, Christian"],["dc.contributor.author","Annighöfer, Peter"],["dc.date.accessioned","2020-12-10T14:24:06Z"],["dc.date.available","2020-12-10T14:24:06Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1016/j.foreco.2018.08.039"],["dc.identifier.issn","0378-1127"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/72139"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","A quantitative comparison of the structural complexity of managed, lately unmanaged and primary European beech (Fagus sylvatica L.) forests"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]