Mathes T, Seidel D, Häberle K-H, Pretzsch H, Annighöfer P (2023) What are we missing? Occlusion in laser scanning point clouds and its impact on the detection of single tree morphologies and stand structural variables. Remote Sensing 15, 450, DOI:10.3390/rs15020450

Neudam L, Fuchs JM, Mjema E, Johannmeier A, Ammer C, Annighöfer P, Paul C, Seidel D (2023). Simulation of silvicultural treatments based on real 3D forest data from mobile laser scanning point clouds. Trees, Forests and People 11: 100372. DOI:10.1016/j.tfp.2023.100372


Annighöfer P, Mund M, Seidel D, Ammer C, Ameztegui A, Balandier P, Bebre I, Coll L, Collet C, Hamm T, Huth F, Schneider H, Kuehne C, Löf M, Petritan AM, Petritan IC, Schall P, Bauhus J (2022) Examination of aboveground attributes to predict belowground biomass of young trees. Forest Ecology and Management 505: 119942. DOI:10.1016/j.foreco.2021.119942

Heidenreich M, Seidel D (2022): Assessing forest vitality using 3D data on tree and forest structure: a case study from the Hainich National Park, Germany. Frontiers in Forests and Global Change-Temporal and Boreal Forests. DOI:10.3389/ffgc.2022.929106

Höwler K, Seidel D, Krenn T, Berthold D, Ehbrecht M, Müller J, Kietz B (2022) Evaluation of Softwood Timber Quality - A Case Study on Two Silvicultural Systems in Central Germany. Forests 13, 1910. DOI:10.3390/f13111910

Müller J, Mitesser O, Cadotte M W, van der Plas F, Mori A S, Ammer C, Chao A, Scherer-Lorenzen M, Baldrian P, Bässler C, Biedermann P, Cesarz S, Claßen A, Delory B M, Feldhaar H, Fichtner A, Hothorn T, Kuenzer C, Peters M K, Pierick K, Seidel D, ... Eisenhauer N (2022) Enhancing the structural diversity between forest patches - A concept and real-world experiment to study biodiversity, multifunctionality and forest resilience across spatial scales. Global Change Biology, 00, 1-14. DOI:10.1111/gcb.16564

Neudam L, Annighöfer P, Seidel D (2022) Exploring the Potential of Mobile Laser Scanning to Quantify Forest Structural Complexity. Frontiers in Remote Sensing. DOI:10.3389/frsen.2022.861337

Soto D P, Salas-Eljatib C, Donoso P J, Hernández-Moreno A, Seidel D, D’Amato AW (2022): Impacts of varying precipitation regimes upon the structure, spatial patterns, and productivity of Nothofagus pumilio-dominated old-growth forests in Patagonia. Forest Ecology and Management 524: 120519 DOI:10.1016/j.foreco.2022.120519

Willim K, Ammer C, Seidel D, Annighöfer P, Schmucker J, Schall P, Ehbrecht M (2022) Short - term dynamics of structural complexity in differently managed and unmanaged European beech forests. Trees, Forests and People 8: 100231 DOI:10.1016/j.tfp.2022.100231


Arseniou G, MacFarlane D W, Seidel D (2021) Woody Surface Area Measurements with Terrestrial Laser Scanning Relate to the Anatomical and Structural Complexity of Urban Trees. Remote Sensing, 13 (16), 3153. DOI:10.3390/rs13163153

Arseniou G, MacFarlane D W, Seidel D (2021) Measuring the Contribution of Leaves to the Structural Complexity of Urban Tree Crowns with Terrestrial Laser Scanning. Remote Sensing, 13(14), 2773. DOI:10.3390/rs13142773

Camaretta N, Ehbrecht M, Seidel D, Wenzel A, Zuhdi M, Merk MS, Schlund M, Erasmi S,Knohl A (2021) Using Airborne Laser Scanning to Characterize Land-Use Systems in a Tropical Landscape Based on Vegetation Structural Metrics. Remote Sensing 13: 4794. DOI:10.3390/rs13234794

Uzquiano S, Barbeito I, San Martín R, Ehbrecht M, Seidel D, Bravo F (2021) Quantifying crown morphology of mixed pnie-oak forests using terrestrial laser scanning. Remote Sensing 13 (23): 4955. DOI:10.3390/rs13234955

Gründung der Abteilung / Foundation of the Department 01.12.2021

Annighöfer P, Stiers M, Seidel D, Willim K, Neudam L, Ammer C (2021) Über die Quantifizierbarkeit der 100-jährigen Dauerwaldidee. Allgemeine Forstzeitschrift/Der Wald 76 (1): 23-27

Burkardt K, Ammer C, Seidel D, Vor T (2021) Differences in stem form and bark anomalies of northern red oak trees in forest stands in Canada and Germany. Canadian Journal of Forest Research 51: 1732-1739. DOI:10.1139/cjfr-2020-0497

Burkardt K, Pettenkofer T, Ammer C, Gailing O, Leinemann L, Seidel D, Vor T (2021) Influence of heterozygosity and competition on morphological tree characteristics of Quercus rubra L. - a new single-tree based approach. New Forests 52: 679-695, DOI:10.1007/s11056-020-09814-1

Dorji Y, Schuldt B, Neudam L, Dorji R, Middleby K, Isasa E, Körber K, Ammer C, Annighöfer P, Seidel D (2021): New insights into tree architecture from mobile laser scanning and geometry analysis. Trees- Structure and Function. DOI:10.1007/s00468-021-02124-9

Ehbrecht M, Seidel D, Annighöfer P, Kreft H, Köhler M, Zemp DC, Puettmann K, Nilus R, Babweteera F, Willim K, Stiers M, Soto D, Boehmer HJ, Fisichelli, Burnett M, Juday G, Stephens S, Ammer C (2021) Global patterns and climatic controls of forest structural complexity. Nature Communications: 12:519, DOI:10.1038/s41467-020-20767-z

Höwler K, Vor T, Schall P, Annighöfer P, Seidel D, Ammer C (2021): Distribution of the timber quality attribute ‘knot surface’ in logs of Fagus sylvatica L. from pure and mixed forest stands. European Journal of Forest Research DOI:10.1007/s10342-021-01378-9

Rebola-Lichtenberg J, Streit J, Schall P, Ammer C, Seidel D (2021) From facilitation to competition: the effect of black locust (Robinia pseudoacacia L.) on the growth performance of four poplar hybrids (Populus spp.) in mixed short rotation coppice. New Forests 52: 639-656, DOI:10.1007/s11056-020-09813-2

Seidel D, Annighöfer P, Thielman A, Seifert Q, Thauer J-H, Glatthorn J, Ehbrecht M, Kneib T, Ammer C (2021): Predicting tree species from 3D laser scanning point clouds using deep learning. Frontiers in Plant Science 12: 635440. DOI:10.3389/fpls.2021.635440

Seidel D, Stiers M, Ehbrecht M, Werning M, Annighöfer P (2021): On the structural complexity of central European agroforestry systems- A quantitative assessment using terrestrial laser scanning in single-scan mode. Agroforestry systems 620, DOI:10.1007/s10457-021-00620-y

Seidel D, Soto DP, Annighöfer PJ, Ehbrecht M, Willim K, Ammer C (2021): Drivers of shrublayer complexity in absence of management. Remote Sensing 13: 1513. DOI:10.3390/rs13081513