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  • 2018Conference 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"]]
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  • 2018Conference Paper
    [["dc.bibliographiccitation.firstpage","401"],["dc.bibliographiccitation.lastpage","403"],["dc.bibliographiccitation.seriesnr","23"],["dc.contributor.author","Riesch, F."],["dc.contributor.author","Tonn, B."],["dc.contributor.author","Meißner, M."],["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","2018-12-03T13:25:10Z"],["dc.date.available","2018-12-03T13:25:10Z"],["dc.date.issued","2018"],["dc.description.abstract","How to maintain open habitats is a critical question for nature conservation, especially if the area of concern is large and difficult to access. Central to preventing natural succession and maintaining protected grasslands is the removal of biomass, which can be successfully achieved by livestock grazing. The effectiveness of grazing by wild-living autochthonous mega-herbivores has not yet been evaluated. On a military training area (Grafenwoehr, Bavaria, Germany) with high density of red deer (Cervus elaphus), we surveyed grassland productivity, forage quality and forage removal by red deer in burnt (B), mown (M) and untreated (U) grasslands (five replicates per treatment) on five dates per year in 2015 and 2016. Forage removal by red deer was 31.5% (B), 42.2% (M) and 44.3% (U) of the average annual net productivity (B: 385 g m-2; M: 486 g m-2; U: 410 g m-2). Forage removal rates peaked at 1.5 to 1.9 g m-2 d-1 between April and June. Forage quality was improved in mown grasslands after mowing. Red deer grazing could reach biomass removal rates comparable to those in extensive livestock grazing systems. Considering red deer as a grazing species could thus expand the established management options for large-scale grassland conservation."],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/57016"],["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.title","Grazing by free-ranging red deer: effective management for semi-natural grassland conservation?"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]
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