Annighöfer, Peter J.

[["dc.bibliographiccitation.firstpage","23"],["dc.bibliographiccitation.journal","Nature Conservation"],["dc.bibliographiccitation.lastpage","64"],["dc.bibliographiccitation.volume","50"],["dc.contributor.author","Pham, Van Vien"],["dc.contributor.author","Ammer, Christian"],["dc.contributor.author","Annighöfer, Peter"],["dc.contributor.author","Heinrichs, Steffi"],["dc.date.accessioned","2022-11-01T10:17:31Z"],["dc.date.available","2022-11-01T10:17:31Z"],["dc.date.issued","2022"],["dc.description.abstract","Plant species diversity and composition play crucial roles in many ecosystem services and are largely influenced by environmental conditions, as well as natural and/or anthropogenic disturbances. However, our knowledge of the drivers of plant species diversity and composition in the limestone forests of Vietnam, a hotspot of biodiversity, is limited. To fill this knowledge gap, we surveyed plant species in the Cat Ba National Park (CBNP), located on a limestone archipelago. We hypothesised that: (1) topography, accessibility and spatial isolation drive the diversity and composition of plant communities in the CBNP and that (2) isolated areas contribute to high floristic regional diversity by supporting unique species assemblages. We expected high tree species diversity within the tropical limestone forests of the CBNP, but also that: (3) the abundance of non-tree species negatively affects tree regeneration diversity and abundance. Data were obtained from 90 random sample plots (500 m\r\n 2\r\n ) and 450 sub-sample plots (25 m\r\n 2\r\n ) in three areas of the CBNP. We differentiated four different plant species communities and found a total of 302 species belonging to 112 families. Tree species contributed 50% to total species richness. The distribution of different plant communities in the CBNP was driven mainly by topography; that is, the percentage of rock surface and slope and concomitant differences in soil depth. Contrary to our expectations, isolated areas did not contribute greatly to the CBNP’s plant species diversity. It seems that isolated areas and, as in our case, rough topography, may act as natural barriers to seed dispersal, creating an environmental filter for tree species. Across the CBNP, there was no effect of non-tree species on tree species regeneration, but regeneration patterns differed between communities. In species-rich communities growing under favourable site conditions (e.g. low rock surface and slope), greater coverage by non-tree species had an increasingly negative effect on tree species richness and abundance in the regeneration layer. The opposite was observed in communities growing under harsh site conditions. We conclude that plant species diversity in the CBNP is high, particularly in easily accessible lowland areas where tree species contribute greatly to biodiversity. However, here, non-tree species can even restrict tree regeneration."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2022"],["dc.identifier.doi","10.3897/natureconservation.50.86490"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/116829"],["dc.notes.intern","DOI-Import GROB-605"],["dc.relation.eissn","1314-3301"],["dc.relation.issn","1314-6947"],["dc.rights","CC BY 4.0"],["dc.title","Plant species diversity and composition in limestone forests of the Vietnamese Cat Ba National Park"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["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"]]

[["dc.bibliographiccitation.firstpage","677"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Plants"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Hasstedt, Sarah L."],["dc.contributor.author","Annighöfer, Peter"],["dc.date.accessioned","2021-04-14T08:25:02Z"],["dc.date.available","2021-04-14T08:25:02Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.3390/plants9060677"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17456"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/81503"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","MDPI"],["dc.relation.eissn","2223-7747"],["dc.rights","CC BY 4.0"],["dc.rights.uri","http://creativecommons.org/licenses/by/4.0/"],["dc.title","Initial Survival and Development of Planted European Beech (Fagus sylvatica L.) and Small-Leaved Lime (Tilia cordata Mill.) Seedlings Competing with Black Cherry (Prunus serotina Ehrh.)"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","171"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","European Journal of Forest Research"],["dc.bibliographiccitation.lastpage","183"],["dc.bibliographiccitation.volume","136"],["dc.contributor.author","Dirnberger, Gerald"],["dc.contributor.author","Sterba, Hubert"],["dc.contributor.author","Condés, Sonia"],["dc.contributor.author","Ammer, Christian"],["dc.contributor.author","Annighöfer, Peter"],["dc.contributor.author","Avdagić, Admir"],["dc.contributor.author","Bielak, Kamil"],["dc.contributor.author","Brazaitis, Gediminas"],["dc.contributor.author","Coll, Lluís"],["dc.contributor.author","Heym, Michael"],["dc.contributor.author","Hurt, Václav"],["dc.contributor.author","Kurylyak, Viktor"],["dc.contributor.author","Motta, Renzo"],["dc.contributor.author","Pach, Maciej"],["dc.contributor.author","Ponette, Quentin"],["dc.contributor.author","Ruiz-Peinado, Ricardo"],["dc.contributor.author","Skrzyszewski, Jerzy"],["dc.contributor.author","Šrámek, Vít"],["dc.contributor.author","Streel, Géraud de"],["dc.contributor.author","Svoboda, Miroslav"],["dc.contributor.author","Zlatanov, Tzvetan"],["dc.contributor.author","Pretzsch, Hans"],["dc.date.accessioned","2017-09-07T11:47:20Z"],["dc.date.available","2017-09-07T11:47:20Z"],["dc.date.issued","2017"],["dc.description.abstract","Scots pine (Pinus sylvestris L.) and European beech (Fagus sylvatica L.) dominate many of the European forest stands. Also, mixtures of European beech and Scots pine more or less occur over all European countries, but have been scarcely investigated. The area occupied by each species is of high relevance, especially for growth evaluation and comparison of different species in mixed and monospecific stands. Thus, we studied different methods to describe species proportions and their definition as proportion by area. 25 triplets consisting of mixed and monospecific stands were established across Europe ranging from Lithuania to Spain in northern to southern direction and from Bulgaria to Belgium in eastern to western direction. On stand level, the conclusive method for estimating the species proportion as a fraction of the stand area relates the observed density (tree number or basal area) to its potential. This stand-level estimation makes use of the potential from comparable neighboring monospecific stands or from maximum density lines derived from other data, e.g. forest inventories or permanent observations plots. At tree level, the fraction of the stand area occupied by a species can be derived from the proportions of their crown projection area or of their leaf area. The estimates of the potentials obtained from neighboring monospecific stands, especially in older stands, were poorer than those from the maximum density line depending on the Martonne aridity index. Therefore, the stand-level method in combination with the Martonne aridity index for potential densities can be highly recommended. The species’ proportions estimated with this method are best approximated by the proportions of the species’ leaf areas. In forest practice, the most commonly applied method is an ocular estimation of the proportions by crown projection area. Even though the proportions of pine were calculated here by measuring crown projection areas in the field, we found this method to underestimate the proportion by 25% compared to the stand-level approach."],["dc.identifier.doi","10.1007/s10342-016-1017-0"],["dc.identifier.gro","3146735"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14360"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/4531"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation.issn","1612-4669"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Species proportions by area in mixtures of Scots pine (Pinus sylvestris L.) and European beech (Fagus sylvatica L.)"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["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"]]

[["cris.virtual.author-orcid","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtual.author-orcid","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtual.author-orcid","0000-0001-8126-5307"],["cris.virtual.author-orcid","0000-0002-4235-0135"],["cris.virtual.author-orcid","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtual.author-orcid","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtual.author-orcid","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtual.author-orcid","0000-0003-4131-9424"],["cris.virtual.department","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtual.department","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtual.department","Fakultät für Forstwissenschaften und Waldökologie"],["cris.virtual.department","Präsidium"],["cris.virtual.department","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtual.department","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtual.department","#PLACEHOLDER_PARENT_METADATA_VALUE#"],["cris.virtual.department","Abteilung Waldbau und 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"]]

[["dc.bibliographiccitation.artnumber","410"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Forests"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Rebola-Lichtenberg, Jessica"],["dc.contributor.author","Schall, Peter"],["dc.contributor.author","Annighöfer, Peter"],["dc.contributor.author","Ammer, Christian"],["dc.contributor.author","Leinemann, Ludger"],["dc.contributor.author","Polle, Andrea"],["dc.contributor.author","Euring, Dejuan"],["dc.date.accessioned","2019-07-09T11:51:28Z"],["dc.date.available","2019-07-09T11:51:28Z"],["dc.date.issued","2019"],["dc.description.abstract","Short rotation coppices play an increasing role in providing wooden biomass for energy. Mixing fast-growing tree species in short rotation coppices may result in complementary e ects and increased yield. The aim of this study was to analyze the e ect on mortality of eight di erent poplar genotypes (Populus sp.) in mixed short rotation coppices with three di erent provenances of the N-fixing tree species black locust (Robinia pseudoacacia L.). Pure and mixed stands were established at two sites of contrasting fertility. Survival of poplar was assessed for each tree two times a year, for a period of three years. In the first two years, high variation in mortality was observed between the genotypes, but no significant di erences between pure and mixed stands were identified. However, three years after planting, higher mortality rates were observed in the mixtures across all poplar genotypes in comparison to pure stands. The expected advantage on growth of combining an N-fixing tree with an N-demanding tree species, such as poplar, was overshadowed by the Robinia’s dominance and competitiveness."],["dc.identifier.doi","10.3390/f10050410"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16134"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59954"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","MDPI"],["dc.relation.eissn","1999-4907"],["dc.relation.orgunit","Zentrum für Biodiversität und Nachhaltige Landnutzung"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","570"],["dc.title","Mortality of Different Populus Genotypes in Recently Established Mixed Short Rotation Coppice with Robinia pseudoacacia L."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e0134935"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","PLOS ONE"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Annighöfer, Peter"],["dc.contributor.author","Beckschäfer, Philip"],["dc.contributor.author","Vor, Torsten"],["dc.contributor.author","Ammer, Christian"],["dc.date.accessioned","2017-09-07T11:47:19Z"],["dc.date.available","2017-09-07T11:47:19Z"],["dc.date.issued","2015"],["dc.description.sponsorship","Open-Access Publikationsfonds 2015"],["dc.identifier.doi","10.1371/journal.pone.0134935"],["dc.identifier.gro","3146725"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/12060"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/4520"],["dc.notes.status","final"],["dc.relation.issn","1932-6203"],["dc.rights.access","openAccess"],["dc.title","Regeneration Patterns of European Oak Species (Quercus petraea (Matt.) Liebl., Quercus robur L.) in Dependence of Environment and Neighborhood"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","895"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","European Journal of Wildlife Research"],["dc.bibliographiccitation.lastpage","907"],["dc.bibliographiccitation.volume","57"],["dc.contributor.author","Annighoefer, Peter"],["dc.contributor.author","Schuetz, Stefan"],["dc.date.accessioned","2018-11-07T08:53:49Z"],["dc.date.available","2018-11-07T08:53:49Z"],["dc.date.issued","2011"],["dc.description.abstract","Observations were made on two populations of the greater kudu (Tragelaphus strepsiceros) in Namibia to investigate the influence of differing management strategies (trophy hunting vs. venison production) on the population structure, behaviour and ecology of these antelope with regard to population persistence. The population structure on both study sites was similar despite different management strategies. However, the percentage of males in respective age classes differed significantly. All sex ratios were clearly female-biased, even though at birth they are close to parity, indicating sex- and age-specific mortality. Matriarchal groups were larger than groups led by bulls. The group size reached a maximum during the breeding season (rut). The male age classes accompanying females in this season differed strongly between the two study sites. The behavioural patterns shown by kudu over the course of a 12-h period (esp. feeding and locomotion) were also significantly different for the two populations. The results suggest that the management strategies can have an impact on behaviour and population structure of T. strepsiceros and may affect the overall fitness of the population."],["dc.identifier.doi","10.1007/s10344-011-0501-6"],["dc.identifier.isi","000292932500020"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/7148"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/22517"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1612-4642"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Observations on the population structure and behaviour of two differently managed populations of the greater kudu (Tragelaphus strepsiceros, Pallas 1766) in Namibia"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]