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Seidel, Dominik
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Seidel, Dominik
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Seidel, Dominik
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Seidel, D.
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2019Journal Article [["dc.bibliographiccitation.artnumber","690"],["dc.bibliographiccitation.journal","Frontiers in Plant Science"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Annighöfer, Peter"],["dc.contributor.author","Seidel, Dominik"],["dc.contributor.author","Mölder, Andreas"],["dc.contributor.author","Ammer, Christian"],["dc.date.accessioned","2019-07-09T11:51:57Z"],["dc.date.available","2019-07-09T11:51:57Z"],["dc.date.issued","2019"],["dc.description.abstract","Tree saplings are exposed to a competitive growth environment in which resources are limited and the ability to adapt determines general vitality and specific growth performance. In this study we analyzed the aboveground spatial neighborhood of oak [Quercus petraea (Matt.) Liebl.] and beech (Fagus sylvatica L.) saplings growing in Germany, by using hemispherical photography and terrestrial laser scanning as proxy for the competitive pressure saplings were exposed to. The hemispherical images were used to analyze the light availability and the three-dimensional (3D) point clouds from the laser scanning were used to assess the space and forest structure around the saplings. The aim was to increase the precision with which the biomass allocation, growth, and morphology of the saplings could be predicted by including more detailed information of their environment. The predictive strength of the models was especially increased through direct neighborhood variables (e.g., relative space filling), next to the light availability being the most important predictor variable. The biomass allocation patterns within the more light demanding oak were strongly driven by the space availability around the saplings. Diameter and height growth variables of both species reacted significantly to changes in light availability, and partly also to the neighborhood variables. The leaf morphology [as leaf-area ratio (LAR)] was also driven by light availability and decreased with increasing light availability. However, the branch morphology (as mean branch weight) could not be explained for oak and the model outcome for beech was hard to interpret. The results could show that individuals of the same species perform differently under constant light conditions but differing neighborhoods. Assessing the neighborhood of trees with highly precise measurement devices, like terrestrial laser scanners, proved to be useful. However, the primary response to a dense neighborhood seemed to be coping with a reduction of the lateral light availability aboveground, rather than responding to an increase of competition belowground. The results suggest continuing efforts to increase the precision with which plant environments can be described through innovative and efficient methods, like terrestrial laser scanning."],["dc.identifier.doi","10.3389/fpls.2019.00690"],["dc.identifier.pmid","31191589"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16245"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60048"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","570"],["dc.title","Advanced Aboveground Spatial Analysis as Proxy for the Competitive Environment Affecting Sapling Development"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI PMID PMC2020Journal Article Research Paper [["dc.bibliographiccitation.journal","New Forests"],["dc.contributor.author","Rebola-Lichtenberg, Jessica"],["dc.contributor.author","Streit, Juliane"],["dc.contributor.author","Schall, Peter"],["dc.contributor.author","Ammer, Christian"],["dc.contributor.author","Seidel, Dominik"],["dc.date.accessioned","2021-04-14T08:32:08Z"],["dc.date.available","2021-04-14T08:32:08Z"],["dc.date.issued","2020"],["dc.description.abstract","Short rotation coppices play an important role in providing biomass for energetic use. Mixing fast-growing tree species in short rotation coppices may show complementarity effects and increased yield. The aim of this study was to analyze the effect of species interaction in mixed short rotation coppices with fast-growing Populus spp.-hybrids and the N-fixing Robinia pseudoacacia. Four different Populus-hybrids (AF2, Fritzi Pauley, Hybride 275 and Max 1), planted alternately in pure and mixed stands with R. pseudoacacia were used for the analysis. Height and root collar diameter were measured once a year, over a period of four years (2014–2017). Additionally, in the third year, aboveground competition was surveyed with a terrestrial laser scanner and root biomass was analyzed to assess belowground competition. Soil nitrogen was also determined in order to verify enrichment properties of mixtures compared to pure stands. Populus-hybrids’ stem volume showed no significant differences between stand types in the first year after planting. In the second and third year, however, two Populus-hybrids (AF2 and Max 1) had a higher stem volume increment of up to 3.8 times than stem volume increment in pure stands. This may be related to the fact that soil nitrogen was 39% higher in the mixtures than in pure stands. However, in the 4th year after stand establishment, R. pseudoacacia’s crowns were so massive and broad, that this species was far more competitive than the Populus-hybrids. With the exception of P. ‘Fritzi Pauley’, which showed no significant differences between stand types, growth rates reversed for the other three Populus-hybrids. AF2, Max 1 and Hybride 275 showed up to 75% lower stem volume increment in mixtures compared to pure stands. We assume that, in spite of the initially observed facilitation between the species, the competition exerted by R. pseudoacacia started dominating after 4 years and began to surpass the benefits of facilitation."],["dc.identifier.doi","10.1007/s11056-020-09813-2"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83820"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1573-5095"],["dc.relation.haserratum","/handle/2/83295"],["dc.relation.issn","0169-4286"],["dc.relation.orgunit","Zentrum für Biodiversität und Nachhaltige Landnutzung"],["dc.rights","CC BY 4.0"],["dc.title","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"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI2020Journal Article [["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"]]Details DOI2022Journal Article Research Paper [["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"]]Details DOI2022Journal Article Research Paper [["dc.bibliographiccitation.artnumber","861337"],["dc.bibliographiccitation.journal","Frontiers in Remote Sensing"],["dc.bibliographiccitation.volume","3"],["dc.contributor.affiliation","Neudam, Liane; \r\n1\r\nDepartment of Silviculture and Forest Ecology of the Temperate Zones, Faculty of Forest Sciences, University of Göttingen, Göttingen, Germany"],["dc.contributor.affiliation","Annighöfer, Peter; \r\n2\r\nForest and Agroforest Systems, Technical University of Munich, Freising, Germany"],["dc.contributor.affiliation","Seidel, Dominik; \r\n3\r\nDepartment of Spatial Structures and Digitization of Forests, Faculty of Forest Sciences, University of Göttingen, Göttingen, Germany"],["dc.contributor.author","Neudam, Liane"],["dc.contributor.author","Annighöfer, Peter"],["dc.contributor.author","Seidel, Dominik"],["dc.date.accessioned","2022-06-01T08:52:48Z"],["dc.date.available","2022-06-01T08:52:48Z"],["dc.date.issued","2022"],["dc.date.updated","2022-09-04T17:13:30Z"],["dc.description.abstract","Today, creating or maintaining forest structural complexity is a management paradigm in many countries due to the positive relationships between structural complexity and several forest functions and services. In this study, we tested whether the box-dimension (Db), a holistic and objective measure to describe the structural complexity of trees or forests, can be used to quantify the structural complexity of 14 European beech (Fagus sylvatica L.) dominated forest plots by means of mobile laser scanning (MLS). The goal of this study was to explore the potential of this approach for quantifying the effect of leaves (summer vs winter) and management (lately unmanaged vs managed) on forest structural complexity. The findings suggest that repeated measurements on the same site and at the same time yielded consistent results if the measuring scheme is standardized. The results also showed that standardized measurement protocols allowed quantifying differences in forest structural complexity due to season. The highest stand structural complexity was found in leaf-on condition during summer, with the complexity being significantly higher than in winter condition. Also, in case of our beech-dominated plots, managed forests were more complex in structure than formerly managed but now unmanaged forests. This study illustrates the potential of MLS for monitoring the changes in forest structural complexity and allows correcting stand structural information for seasonality"],["dc.description.sponsorship","Open-Access-Publikationsfonds 2022"],["dc.identifier.doi","10.3389/frsen.2022.861337"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/108335"],["dc.language.iso","en"],["dc.relation.eissn","2673-6187"],["dc.relation.issn","2673-6187"],["dc.relation.orgunit","Fakultät für Forstwissenschaften und Waldökologie"],["dc.rights","CC BY 4.0"],["dc.rights.uri","http://creativecommons.org/licenses/by/4.0/"],["dc.title","Exploring the Potential of Mobile Laser Scanning to Quantify 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"]]Details DOI2022Journal Article Research Paper [["dc.bibliographiccitation.journal","Frontiers in Forests and Global Change"],["dc.bibliographiccitation.volume","5"],["dc.contributor.affiliation","Heidenreich, Marius G.; Department of Spatial Structures and Digitization of Forests, Georg August University of Göttingen, Göttingen, Germany"],["dc.contributor.affiliation","Seidel, Dominik; Department of Spatial Structures and Digitization of Forests, Georg August University of Göttingen, Göttingen, Germany"],["dc.contributor.author","Heidenreich, Marius G."],["dc.contributor.author","Seidel, Dominik"],["dc.date.accessioned","2022-08-04T13:28:26Z"],["dc.date.available","2022-08-04T13:28:26Z"],["dc.date.issued","2022"],["dc.date.updated","2022-09-05T03:17:06Z"],["dc.description.abstract","The adaptation of forest management to changing environmental conditions due to climate change relies on information on the current forest and tree vitality. In common practice, the percentage of crown defoliation is used as a proxy for tree vitality, an approach that has several drawbacks. By performing laser scanning on a forest plot in the Hainich National Park, we tested a new approach to quantifying tree vitality. Based on the difference in structural complexity measured between summer and winter, assessed via the box-dimension, the new approach provides an objective and reproducible method that does not only allow the quantification of the defoliation, but also includes the effects of branch diebacks. In addition, we assessed the change in box-dimension and branch lengths between 2013 and 2021 and studied the overall structural development of the trees to analyze the alteration of their vitality. On average, we found a decrease in overall structural complexity, as well as in branch lengths for most trees in the investigated forest. Further, the mean difference in box-dimension (summer minus winter) decreased with ascending vitality class. We conclude that the vitality of the trees was negatively affected over the period of 8 years, and we argue the newly proposed method based on the box-dimension holds potential to be used as a measure for tree vitality in deciduous forests."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2022"],["dc.identifier.doi","10.3389/ffgc.2022.929106"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/112652"],["dc.language.iso","en"],["dc.relation.eissn","2624-893X"],["dc.relation.issn","2624-893X"],["dc.rights","CC BY 4.0"],["dc.rights.uri","http://creativecommons.org/licenses/by/4.0/"],["dc.title","Assessing Forest Vitality and Forest Structure Using 3D Data: A Case Study From the Hainich National Park, Germany"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI2022-11-14Journal Article [["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"]]Details DOI2021Journal Article Research Paper [["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"]]Details DOI2019Journal Article 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Waldökologie der gemäßigten Zonen"],["cris.virtualsource.author-orcid","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtualsource.author-orcid","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtualsource.author-orcid","86db7e4a-1f3e-4e70-86da-445899f11b26"],["cris.virtualsource.author-orcid","2301d346-4dea-4aa5-a716-15beccf00827"],["cris.virtualsource.author-orcid","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtualsource.author-orcid","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtualsource.author-orcid","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtualsource.author-orcid","6f61c9e1-5566-4dc3-b7d1-67ee37efa6ee"],["cris.virtualsource.department","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtualsource.department","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtualsource.department","86db7e4a-1f3e-4e70-86da-445899f11b26"],["cris.virtualsource.department","2301d346-4dea-4aa5-a716-15beccf00827"],["cris.virtualsource.department","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtualsource.department","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtualsource.department","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtualsource.department","6f61c9e1-5566-4dc3-b7d1-67ee37efa6ee"],["dc.bibliographiccitation.firstpage","1684"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","Sensors"],["dc.bibliographiccitation.volume","19"],["dc.contributor.author","Willim, Katharina"],["dc.contributor.author","Stiers, Melissa"],["dc.contributor.author","Annighöfer, Peter"],["dc.contributor.author","Ammer, Christian"],["dc.contributor.author","Ehbrecht, Martin"],["dc.contributor.author","Kabal, Myroslav"],["dc.contributor.author","Stillhard, Jonas"],["dc.contributor.author","Seidel, Dominik"],["dc.date.accessioned","2020-12-10T18:47:21Z"],["dc.date.available","2020-12-10T18:47:21Z"],["dc.date.issued","2019"],["dc.description.sponsorship","German Research Foundation"],["dc.identifier.doi","10.3390/s19071684"],["dc.identifier.eissn","1424-8220"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78731"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.publisher","MDPI"],["dc.relation.eissn","1424-8220"],["dc.rights","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Assessing Understory Complexity in Beech-dominated Forests (Fagus sylvatica L.) in Central Europe—From Managed to Primary Forests"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI2011Journal Article [["dc.bibliographiccitation.firstpage","8311"],["dc.bibliographiccitation.issue","20"],["dc.bibliographiccitation.journal","Proceedings of the National Academy of Sciences"],["dc.bibliographiccitation.lastpage","8316"],["dc.bibliographiccitation.volume","108"],["dc.contributor.author","Clough, Yann"],["dc.contributor.author","Barkmann, Jan"],["dc.contributor.author","Juhrbandt, Jana"],["dc.contributor.author","Kessler, Michael"],["dc.contributor.author","Wanger, Thomas Cherico"],["dc.contributor.author","Anshary, Alam"],["dc.contributor.author","Buchori, Damayanti"],["dc.contributor.author","Cicuzza, Daniele"],["dc.contributor.author","Darras, Kevin"],["dc.contributor.author","Putra, Dadang Dwi"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Pitopang, Ramadhanil"],["dc.contributor.author","Schmidt, Carsten"],["dc.contributor.author","Schulze, Christian H."],["dc.contributor.author","Seidel, Dominik"],["dc.contributor.author","Steffan-Dewenter, Ingolf"],["dc.contributor.author","Stenchly, Kathrin"],["dc.contributor.author","Vidal, Stefan"],["dc.contributor.author","Weist, Maria"],["dc.contributor.author","Wielgoss, Arno Christian"],["dc.contributor.author","Tscharntke, Teja"],["dc.date.accessioned","2017-09-07T11:54:44Z"],["dc.date.accessioned","2020-05-11T13:18:51Z"],["dc.date.available","2017-09-07T11:54:44Z"],["dc.date.available","2020-05-11T13:18:51Z"],["dc.date.issued","2011"],["dc.description.abstract","Local and landscape-scale agricultural intensification is a major driver of global biodiversity loss. Controversially discussed solutions include wildlife-friendly farming or combining high-intensity farming with land-sparing for nature. Here, we integrate biodiversity and crop productivity data for smallholder cacao in Indonesia to exemplify for tropical agroforests that there is little relationship between yield and biodiversity under current management, opening substantial opportunities for wildlife-friendly management. Species richness of trees, fungi, invertebrates, and vertebrates did not decrease with yield. Moderate shade, adequate labor, and input level can be combined with a complex habitat structure to provide high biodiversity as well as high yields. Although livelihood impacts are held up as a major obstacle for wildlife-friendly farming in the tropics, our results suggest that in some situations, agroforests can be designed to optimize both biodiversity and crop production benefits without adding pressure to convert natural habitat to farmland."],["dc.identifier.doi","10.1073/pnas.1016799108"],["dc.identifier.gro","3150093"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/8611"],["dc.identifier.scopus","2-s2.0-79957762227"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/6823"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65024"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-79957762227&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation.eissn","1091-6490"],["dc.relation.issn","0027-8424"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Combining high biodiversity with high yields in tropical agroforests"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI
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