Annighöfer, Peter J.

[["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.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.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","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"]]

[["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.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"]]

[["dc.bibliographiccitation.firstpage","911"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Trees"],["dc.bibliographiccitation.lastpage","919"],["dc.bibliographiccitation.volume","33"],["dc.contributor.author","Seidel, Dominik"],["dc.contributor.author","Ehbrecht, Martin"],["dc.contributor.author","Dorji, Yonten"],["dc.contributor.author","Jambay, Jambay"],["dc.contributor.author","Ammer, Christian"],["dc.contributor.author","Annighöfer, Peter"],["dc.date.accessioned","2020-12-10T14:10:40Z"],["dc.date.available","2020-12-10T14:10:40Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1007/s00468-019-01827-4"],["dc.identifier.eissn","1432-2285"],["dc.identifier.issn","0931-1890"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/70839"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Identifying architectural characteristics that determine tree structural complexity"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]