Options
Meißner, Marcus
Loading...
Preferred name
Meißner, Marcus
Official Name
Meißner, Marcus
Alternative Name
Meißner, M.
Meissner, Marcus
Meissner, M.
Main Affiliation
Now showing 1 - 8 of 8
2019Journal Article Research Paper [["dc.bibliographiccitation.firstpage","1311"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Journal of Applied Ecology"],["dc.bibliographiccitation.lastpage","1321"],["dc.bibliographiccitation.volume","56"],["dc.contributor.author","Riesch, Friederike"],["dc.contributor.author","Tonn, Bettina"],["dc.contributor.author","Meißner, Marcus"],["dc.contributor.author","Balkenhol, Niko"],["dc.contributor.author","Isselstein, Johannes"],["dc.date.accessioned","2019-07-31T07:48:10Z"],["dc.date.available","2019-07-31T07:48:10Z"],["dc.date.issued","2019"],["dc.description.abstract","Maintaining semi‐natural open habitats requires biomass removal, which can be achieved by extensive grazing with livestock species. However, implementing this established conservation management strategy in large or access‐restricted areas is often not possible. We investigated grazing by wild and free‐ranging red deer Cervus elaphus as an alternative conservation management approach on an active military training area in Germany. In grasslands and heathlands protected under the EU Habitats Directive, we quantified aboveground net primary productivity, forage quality and forage removal by red deer over three successive years. To assess synergistic effects between wildlife grazing and additional grassland management measures removing vegetation biomass (i.e. burning, mowing), we conducted our grazing experiment in burnt, mown and untreated grasslands. Annual forage removal by red deer amounted to 35%, 44%, 48% and 59% of the aboveground net primary productivity in burnt, mown and untreated grasslands and untreated heathlands, respectively. Theoretically, a similar annual biomass removal could be obtained by livestock grazing with 0.54 animal units ha−1 in grasslands and 0.45 animal units ha−1 in heathlands. In grasslands, daily rates of forage removal peaked in spring and early summer, whereas in heathlands, forage removal rates were only significant in winter. Forage removal rates in grasslands increased with productivity and forage quality, which were both enhanced in mown grasslands. This suggests mowing can increase grassland attractiveness to red deer. Forage removal rates in heathlands did not relate to productivity or forage quality but to standing biomass. Synthesis and applications. We demonstrate that the quantity of forage removed by wild red deer can be comparable to that of livestock in common conservation grazing systems. The seasonal patterns of forage removal by red deer in grasslands and heathlands coincided with the different grazing requirements of these habitats. Especially in large areas of conservation interest, we therefore encourage attempts to modify current wildlife management strategies to allow red deer to forage in open landscapes, which can contribute to the conservation of semi‐natural open habitats and also help to reduce damage in forest stands. This article is protected by copyright. All rights reserved."],["dc.identifier.doi","10.1111/1365-2664.13396"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/62226"],["dc.language.iso","en"],["dc.relation.issn","0021-8901"],["dc.relation.issn","1365-2664"],["dc.relation.orgunit","Zentrum für Biodiversität und Nachhaltige Landnutzung"],["dc.relation.orgunit","Abteilung Wildtierwissenschaften"],["dc.title","Grazing by wild red deer: Management options for the conservation of semi‐natural open habitats"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI2018Conference Paper [["dc.bibliographiccitation.firstpage","901"],["dc.bibliographiccitation.lastpage","903"],["dc.bibliographiccitation.seriesnr","23"],["dc.contributor.author","Raab, C."],["dc.contributor.author","Riesch, F."],["dc.contributor.author","Tonn, B."],["dc.contributor.author","Meißner, M."],["dc.contributor.author","Balkenhol, N."],["dc.contributor.author","Isselstein, J."],["dc.contributor.editor","Horan, B."],["dc.contributor.editor","Hennessy, D."],["dc.contributor.editor","O’Donovan, M."],["dc.contributor.editor","Kennedy, E."],["dc.contributor.editor","McCarthy, B."],["dc.contributor.editor","Finn, J. A."],["dc.contributor.editor","O’Brien, B."],["dc.date.accessioned","2018-12-03T13:06:43Z"],["dc.date.available","2018-12-03T13:06:43Z"],["dc.date.issued","2018"],["dc.description.abstract","Spatially explicit mapping of grassland forage quality is of major interest for sustainable grazing management of NATURA 2000 areas, especially if those are large or have limited accessibility. Therefore, this study is concerned with the estimation of crude protein (CP) and organic acid detergent fiber (oADF) content at regional scale using Sentinel-2 and Landsat 8 remote sensing data. Field data were collected in the Grafenwoehr military training area in Bavaria, Germany. Different combinations of predictor variables were applied using cross-validated random forest regression, linear regression with lasso penalty and linear regression with ridge penalty models. The red-edge band of Sentinel-2, centered at 705 nm, as well as the shortwave infrared bands of both sensors and related vegetation indices contributed the most to the respective models. Linear regression with lasso penalty and Sentinel-2 data performed consistently better, compared to the other models. The results (CP (10.1 - 23.1%): max R2 0.53, RMSE 1.78%; oADF (22.7 - 39.5%): max R2 0.72, RMSE 2.3%) demonstrate the potential of remote sensing as an information tool in supporting the conservation management of grassland areas with limited access."],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/57015"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.publisher","EGF"],["dc.publisher.place","Ireland"],["dc.relation.conference","27th General Meeting of the European Grassland Federation"],["dc.relation.crisseries","Grassland Science in Europe"],["dc.relation.eventend","2018-06-21"],["dc.relation.eventlocation","Cork, Ireland"],["dc.relation.eventstart","2018-06-17"],["dc.relation.isbn","978-1-84170-643-6"],["dc.relation.isbn","978-1-84170-644-3"],["dc.relation.ispartof","Sustainable meat and milk production from grasslands"],["dc.relation.ispartofseries","Grassland Science in Europe;23"],["dc.relation.orgunit","Abteilung Wildtierwissenschaften"],["dc.title","Methods for spatially explicit estimation of NATURA 2000 grassland forage quality using satellites"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details2020Journal Article Research Paper [["dc.bibliographiccitation.firstpage","381"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Remote Sensing in Ecology and Conservation"],["dc.bibliographiccitation.lastpage","398"],["dc.bibliographiccitation.volume","6"],["dc.contributor.author","Raab, Christoph"],["dc.contributor.author","Riesch, Friederike"],["dc.contributor.author","Tonn, Bettina"],["dc.contributor.author","Barrett, Brian"],["dc.contributor.author","Meißner, Marcus"],["dc.contributor.author","Balkenhol, Niko"],["dc.contributor.author","Isselstein, Johannes"],["dc.contributor.editor","He, Kate"],["dc.contributor.editor","Wegmann, Martin"],["dc.date.accessioned","2021-04-14T08:27:14Z"],["dc.date.available","2021-04-14T08:27:14Z"],["dc.date.issued","2020"],["dc.description.abstract","Abstract Semi‐natural grasslands represent ecosystems with high biodiversity. Their conservation depends on the removal of biomass, for example, through grazing by livestock or wildlife. For this, spatially explicit information about grassland forage quantity and quality is a prerequisite for efficient management. The recent advancements of the Sentinel satellite mission offer new possibilities to support the conservation of semi‐natural grasslands. In this study, the combined use of radar (Sentinel‐1) and multispectral (Sentinel‐2) data to predict forage quantity and quality indicators of semi‐natural grassland in Germany was investigated. Field data for organic acid detergent fibre concentration (oADF), crude protein concentration (CP), compressed sward height (CSH) and standing biomass dry weight (DM) collected between 2015 and 2017 were related to remote sensing data using the random forest regression algorithm. In total, 102 optical‐ and radar‐based predictor variables were used to derive an optimized dataset, maximizing the predictive power of the respective model. High R2 values were obtained for the grassland quality indicators oADF (R2 = 0.79, RMSE = 2.29%) and CP (R2 = 0.72, RMSE = 1.70%) using 15 and 8 predictor variables respectively. Lower R2 values were achieved for the quantity indicators CSH (R2 = 0.60, RMSE = 2.77 cm) and DM (R2 = 0.45, RMSE = 90.84 g/m²). A permutation‐based variable importance measure indicated a strong contribution of simple ratio‐based optical indices to the model performance. In particular, the ratios between the narrow near‐infrared and red‐edge region were among the most important variables. The model performance for oADF, CP and CSH was only marginally increased by adding Sentinel‐1 data. For DM, no positive effect on the model performance was observed by combining Sentinel‐1 and Sentinel‐2 data. Thus, optical Sentinel‐2 data might be sufficient to accurately predict forage quality, and to some extent also quantity indicators of semi‐natural grassland."],["dc.description.abstract","Radar (Sentinel‐1) and multispectral (Sentinel‐2) data were evaluated for mapping semi‐natural grassland forage quantity and quality indicators in Germany. The predictor dataset was optimized using permutation‐based variable importance, maximizing the predictive power of the random forest regression models. Simple ratios between the narrow near‐infrared and red‐edge region were among the most important variables. The model performance was only marginally increased by including Sentinel‐1 data. image"],["dc.description.sponsorship","Landwirtschaftliche Rentenbank"],["dc.identifier.doi","10.1002/rse2.149"],["dc.identifier.eissn","2056-3485"],["dc.identifier.issn","2056-3485"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17449"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82214"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.notes.intern","Merged from goescholar"],["dc.relation.eissn","2056-3485"],["dc.relation.issn","2056-3485"],["dc.relation.orgunit","Zentrum für Biodiversität und Nachhaltige Landnutzung"],["dc.relation.orgunit","Abteilung Wildtierwissenschaften"],["dc.rights","CC BY-NC 4.0"],["dc.rights.uri","http://creativecommons.org/licenses/by-nc/4.0/"],["dc.title","Target‐oriented habitat and wildlife management: estimating forage quantity and quality of semi‐natural grasslands with Sentinel‐1 and Sentinel‐2 data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI2018Journal Article Research Paper [["dc.bibliographiccitation.firstpage","5638"],["dc.bibliographiccitation.issue","17"],["dc.bibliographiccitation.journal","International Journal of Remote Sensing"],["dc.bibliographiccitation.lastpage","5659"],["dc.bibliographiccitation.volume","39"],["dc.contributor.author","Raab, Christoph"],["dc.contributor.author","Stroh, H. G."],["dc.contributor.author","Tonn, B."],["dc.contributor.author","Meißner, M."],["dc.contributor.author","Rohwer, N."],["dc.contributor.author","Balkenhol, N."],["dc.contributor.author","Isselstein, J."],["dc.date.accessioned","2018-11-29T14:13:08Z"],["dc.date.available","2018-11-29T14:13:08Z"],["dc.date.issued","2018"],["dc.description.abstract","Mapping semi-natural grassland has become increasingly important with regard to climate variability, invasive species, and the intensification of land use. At the same time, adequate field data collection is of pivotal importance for national and international reporting obligations, such as the European Habitats Directive. We present a remote-sensing-based monitoring framework for a Natura 2000 site with a heterogeneous composition of different grassland communities, using the Random Forest algorithm. Automated training data selection was successfully implemented based on the Random Forest proximity measure (Overall Accuracy ranging from 77.5–86.5%). RapidEye acquisitions originating from the onset of vegetation (prespring and first spring) and senescence (late summer and first autumn) were identified as important phenological phases for mapping semi-natural grassland communities. The derived probability maps of occurrences for each grassland class captured transitions between grassland communities and are therefore a better approximation of real-world conditions compared to classical, discrete maps."],["dc.identifier.doi","10.1080/01431161.2018.1504344"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/57003"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.orgunit","Zentrum für Biodiversität und Nachhaltige Landnutzung"],["dc.relation.orgunit","Abteilung Wildtierwissenschaften"],["dc.title","Mapping semi-natural grassland communities using multi-temporal RapidEye remote sensing data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI2018Journal Article Research Paper [["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Wildlife Biology"],["dc.bibliographiccitation.volume","2018"],["dc.contributor.author","Westekemper, Katharina"],["dc.contributor.author","Reinecke, Horst"],["dc.contributor.author","Signer, Johannes"],["dc.contributor.author","Meißner, Marcus"],["dc.contributor.author","Herzog, Sven"],["dc.contributor.author","Balkenhol, Niko"],["dc.date.accessioned","2019-07-09T11:49:59Z"],["dc.date.available","2019-07-09T11:49:59Z"],["dc.date.issued","2018"],["dc.description.abstract","Human activities can affect the behavior and well-being of wildlife, and there is high potential for wildlife disturbance due to human outdoor recreation. Hiking is a popular form of outdoor recreation in many countries, including Germany. In this study, we investigate the effects of hiking and hiking trails on space-use dynamics in GPS-collared red deer Cervus elaphus inhabiting the Kellerwald-Edersee National Park, Germany. Specifically, we 1\\) experimentally assess the reactions of red deer to hiker on- and off-trail and 2\\) quantify the effects of hiking trails on daily space-use patterns of the deer. We found that red deer in the Kellerwald-Edersee National Park did not show a spatiotemporal reaction to recreational on-trail hiking, but were sensitive to off-trail hiking that always induced flight of the animals. With increasing trail densities, the flight initiation distance decreased, while the distance moved during a flight was similar across trail densities. Together, these results suggest that the sensitivity to off-trail hiking increases in areas with low trail density, but that the flight reaction, once induced, is uniform. We further demonstrate that red deer avoid hiking trails during the day, but not during nighttime, and that a negative relationship exists between the distance the animals keep to trails and the trail density in an individual home range. Our results indicate that off-trail hiking has the potential to disturb red deer in the Kellerwald- Edersee National Park, but that red deer are able to cope with recreational activity on trails as well as with the presence of trails in general. Our findings underline the importance of hiking rules, such as staying on trails, and visitor management focusing on minimizing conflicts between wildlife and human recreation."],["dc.identifier.doi","10.2981/wlb.00403"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15828"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59673"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","0909-6396"],["dc.relation.orgunit","Abteilung Wildtierwissenschaften"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","570"],["dc.title","Stay on trails – effects of human recreation on the spatiotemporal behavior of red deer Cervus elaphus in a German national park"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"],["local.message.claim","2021-10-06T08:18:57.112+0000|||rp114797|||submit_approve|||dc_contributor_author|||None"]]Details DOI2018Conference Paper [["dc.contributor.author","Raab, C."],["dc.contributor.author","Stroh, H.-G."],["dc.contributor.author","Tonn, B."],["dc.contributor.author","Meißner, M."],["dc.contributor.author","Rohwer, N."],["dc.contributor.author","Balkenhol, N."],["dc.contributor.author","Isselstein, J."],["dc.date.accessioned","2019-07-31T07:13:33Z"],["dc.date.available","2019-07-31T07:13:33Z"],["dc.date.issued","2018"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/62222"],["dc.language.iso","en"],["dc.notes.preprint","yes"],["dc.relation.conference","10th International Conference on Ecological Informatics"],["dc.relation.eventend","2018-09-28"],["dc.relation.eventlocation","Jena"],["dc.relation.eventstart","2018-09-24"],["dc.relation.iserratumof","yes"],["dc.title","Using multi-temporal RapidEye remote sensing data to map semi-natural grassland communities"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details2020Journal Article Research Paper [["dc.bibliographiccitation.firstpage","99"],["dc.bibliographiccitation.journal","Basic and Applied Ecology"],["dc.bibliographiccitation.lastpage","109"],["dc.bibliographiccitation.volume","43"],["dc.contributor.author","Richter, Laura"],["dc.contributor.author","Balkenhol, Niko"],["dc.contributor.author","Raab, Christoph"],["dc.contributor.author","Reinecke, Horst"],["dc.contributor.author","Meißner, Marcus"],["dc.contributor.author","Herzog, Sven"],["dc.contributor.author","Isselstein, Johannes"],["dc.contributor.author","Signer, Johannes"],["dc.date.accessioned","2020-12-10T14:22:33Z"],["dc.date.available","2020-12-10T14:22:33Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1016/j.baae.2020.02.002"],["dc.identifier.issn","1439-1791"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/71647"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.orgunit","Zentrum für Biodiversität und Nachhaltige Landnutzung"],["dc.relation.orgunit","Abteilung Wildtierwissenschaften"],["dc.title","So close and yet so different: The importance of considering temporal dynamics to understand habitat selection"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"],["local.message.claim","2021-10-06T08:18:57.112+0000|||rp114797|||submit_approve|||dc_contributor_author|||None"]]Details DOI2020Journal Article Research Paper [["dc.bibliographiccitation.firstpage","522"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Applied Vegetation Science"],["dc.bibliographiccitation.lastpage","538"],["dc.bibliographiccitation.volume","23"],["dc.contributor.author","Riesch, Friederike"],["dc.contributor.author","Tonn, Bettina"],["dc.contributor.author","Stroh, Hans Georg"],["dc.contributor.author","Meißner, Marcus"],["dc.contributor.author","Balkenhol, Niko"],["dc.contributor.author","Isselstein, Johannes"],["dc.contributor.editor","Vandvik, Vigdis"],["dc.date.accessioned","2021-04-14T08:24:10Z"],["dc.date.available","2021-04-14T08:24:10Z"],["dc.date.issued","2020"],["dc.description.abstract","Abstract Questions Conservation management of semi‐natural open habitats today has to compensate for the decline of traditional practices of agricultural land use. Can wild and free‐ranging ungulates, such as red deer, contribute to the preservation of characteristic open habitat plant communities? Location Grafenwöhr military training area, Germany. Methods We set up a grazing exclusion experiment in grasslands (lowland hay meadows) and heathlands (European dry heaths) and monitored structural vegetation characteristics (sward height, bare soil, biomass contribution of Calluna vulgaris, litter height, woody species individuals) in open and fenced plots within a three‐year study period. We compared plant species richness, diversity and community composition before and after the experimental period. Results In grasslands, plant species diversity was significantly reduced in fenced compared to open plots and in both habitat types, plant community composition responded to the exclusion of red deer. When fences prevented red deer grazing, increasing height of sward and litter in both habitat types as well as reduced cover of bare soil and increasing number of woody plant individuals in heathlands indicated beginning succession. In annually mown grasslands, where the regrowth provides attractive forage for red deer, the differences between open and fenced plots were most pronounced. Conclusions Overall, our results indicate that the conservation value of the studied open habitat types started to decrease after red deer exclusion. Grazing by wild red deer can hence provide benefits to vegetation structure and diversity and could therefore enrich the set of tools available for the conservation management of semi‐natural open vegetation types."],["dc.description.abstract","We tested if grazing by wild red deer (Cervus elaphus) can contribute to maintaining semi‐natural grasslands and heathlands. Three years of red deer exclusion reduced plant diversity in grasslands. Vegetation structure and composition in fenced plots indicated beginning succession in grasslands and heathlands. We suggest wild red deer as an alternative tool for conservation management of open habitats, particularly for large and inaccessible areas. image"],["dc.description.sponsorship","Landwirtschaftliche Rentenbank"],["dc.identifier.doi","10.1111/avsc.12505"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/81190"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1654-109X"],["dc.relation.issn","1402-2001"],["dc.relation.orgunit","Zentrum für Biodiversität und Nachhaltige Landnutzung"],["dc.rights","This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes."],["dc.title","Grazing by wild red deer maintains characteristic vegetation of semi‐natural open habitats: Evidence from a three‐year exclusion experiment"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]Details DOI