Schmidt, Marcus

[["dc.bibliographiccitation.firstpage","131"],["dc.bibliographiccitation.journal","Ecological Indicators"],["dc.bibliographiccitation.lastpage","144"],["dc.bibliographiccitation.volume","37"],["dc.contributor.author","Culmsee, Heike"],["dc.contributor.author","Schmidt, Marcus"],["dc.contributor.author","Schmiedel, Inga"],["dc.contributor.author","Schacherer, Annemarie"],["dc.contributor.author","Meyer, Peter"],["dc.contributor.author","Leuschner, Christoph"],["dc.date.accessioned","2018-08-08T14:39:10Z"],["dc.date.available","2018-08-08T14:39:10Z"],["dc.date.issued","2014"],["dc.description.abstract","Recent assessments have identified significant shortfalls in the current Natura 2000 network approach for identifying protected areas throughout the European Union. A more systematic conservation network planning approach that adopts strategic development options and considers the occurrences of species and habitats within the distribution ranges of species across larger areas is needed in order to support decision making processes on the potential expansion, establishment and/or maintenance of conservation areas. Using high-nature-value forest habitats across a large test region, i.e. the state of Lower Saxony in Germany, we developed a method aimed at systematically locating and appraising temperate forest habitats using indicator species distribution maps. Forest community indicator species were determined using forest habitat affinity criteria (derived from an existing database) and community fidelity (based on a review of 5338 vegetation relevés). Known habitat occurrences were derived from habitat surveys and relevant literature and were related to model data on indicator species distribution on a grid of 1739 raster cells (each 30 km2) using logistic regression. The predictive power of the distribution models increased with the number of indicator species. However, tight correlations between indicator species distribution and habitat occurrence were only found when indicator species with a high affinity to forests were used exclusively. Field inspection of grid cells with outlying occurrences of five upland forest communities revealed several new forest habitat locations and led to greatly improved distribution models. We conclude that the distribution of high-nature-value forest habitats can be predicted from large-scale raster data on plant species distributions when only indicator species with close association to forest habitats and a high fidelity to a single community are selected. Our approach may therefore facilitate a review of the existing Natura 2000 forest conservation network, be used to identify additional conservation areas or to monitor the success of forest conservation management measures."],["dc.identifier.doi","10.1016/j.ecolind.2013.10.010"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/15233"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.title","Predicting the distribution of forest habitat types using indicator species to facilitate systematic conservation planning"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","211"],["dc.bibliographiccitation.issue","31"],["dc.bibliographiccitation.journal","TUEXENIA"],["dc.bibliographiccitation.lastpage","226"],["dc.contributor.author","Schmiedel, Inga"],["dc.contributor.author","Schacherer, Annemarie"],["dc.contributor.author","Hauck, Michael"],["dc.contributor.author","Schmidt, Marcus"],["dc.contributor.author","Culmsee, Heike"],["dc.date.accessioned","2018-11-07T09:02:04Z"],["dc.date.available","2018-11-07T09:02:04Z"],["dc.date.issued","2011"],["dc.description.abstract","Distribution patterns of vascular plant taxa in the federal states of Lower Saxony and Bremen, Germany, with respect to their naturalisation and threat status Detailed knowledge about the spatial distribution of richness centres is a prerequisite for the development of national strategics for the conservation of vascular plant species. However, different groups of plant taxa may have different relevance depending on their naturalisation and threat status. In this study we investigate the spatial distribution of plant species richness centres in the area of the federal states of Lower Saxony and Bremen, based on data from the plant survey of Lower Saxony (Niedersachsisches Pflanzenarten-Erfassungsprogramm). Our analyses include: 1.) The complete floristic list (1819 taxa) 2.) Three groups of taxa defined by their naturalisation status (1509 indigenous taxa, 160 archaeophytes, 145 established neophytes), 3.) Two groups of taxa defined by their threat situation (unthreatened versus threatened taxa, including 643 taxa which have been Red Listed with status I, 2, 3, G or R). Based on the complete floristic list, a clumped distribution pattern was observed. Site conditions in the Quaternary coastal and lowland areas arc relatively homogeneous and, with exception of the major stream valleys of the Weser, Aller, and Elbe, relatively species-poor. The upland area with its heterogeneous site conditions shows the overall highest taxonomic richness. The large group of indigenous taxa shows a distribution very similar to that of the complete floristic list. Archaeophytes are concentrated in the coastal area of Bremen, the Weser and Aller plains, the old moraine loess landscapes, and in smaller cities. High diversity of established neophytes is mainly found in congested urban areas and several other small-scale centres of diversity. Red List species are mainly indigenous (91 %), 8 % are archaeophytes and only 1 % are neophytes. Their diversity centres are spatially highly differentiated: at the coast only the islands in the North Sea are small hotspots, while in the lowlands relatively large hotspots are situated in the Wend land, the Luneburg Heath, and the Elbe-Weser triangle north of Bremen. In the uplands, the area around Gottingen, the uplands of the Weser and Leine valleys, and the Harz mountain margins are well-defined hotspots of Red List taxa. Many of these endangered species are presumably specialists adapted and limited to natural and semi-natural habitats."],["dc.identifier.isi","000295349800012"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/24589"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Floristisch-soziologischen Arbeitsgemeinschaft E V"],["dc.relation.issn","0722-494X"],["dc.title","Distribution patterns of vascular plant taxa in the federal states of Lower Saxony and Bremen, Germany, with respect to their naturalisation and threat status"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","228"],["dc.bibliographiccitation.journal","Forest Ecology and Management"],["dc.bibliographiccitation.lastpage","239"],["dc.bibliographiccitation.volume","330"],["dc.contributor.author","Schmidt, Marcus"],["dc.contributor.author","Moelder, Andreas"],["dc.contributor.author","Schoenfelder, Egbert"],["dc.contributor.author","Engel, Falko"],["dc.contributor.author","Schmiedel, Inga"],["dc.contributor.author","Culmsee, Heike"],["dc.date.accessioned","2018-11-07T09:33:38Z"],["dc.date.available","2018-11-07T09:33:38Z"],["dc.date.issued","2014"],["dc.description.abstract","Ancient woodlands that have been in continuous existence for hundreds of years have a floristic composition which greatly differs from younger afforestations. The occurrence of certain associated vascular plant species, termed \"ancient woodland indicator plants\", can be used to recognise the continuity of woodland cover. Ancient woodland habitats frequently contain a typical and rich forest biodiversity and can often be regarded as \"biodiversity hotspots\". To pinpoint these habitats for nature conservation, there is a need to compile ancient woodland indicator lists with a widespread validity. In this study, we introduce a new methodical approach that enables the compilation of such lists from the readily available resources of plant species monitoring programs, archive records, and land cover data. Using northwest Germany as a model region, we have developed an ecologically grounded list of 67 ancient woodland indicator plants for this area. In this context, we consider the \"ancient woodland indicator plants\" as a subset of the larger group of \"ancient woodland plants\". The widely applicable ancient woodland indicator plants list presented here may be a useful tool for future forest nature conservation. Potential applications include: (a) the identification of ancient woodlands in areas where historical maps are lacking, (b) the identification of biodiversity hotspots of ancient woodland indicator plants, and (c) locating ancient semi-natural woodlands. Finally, we highlight the importance of effective conservation management, which should seek to promote the typical plant diversity of ancient semi-natural woodlands. In doing so, conservation management should promote the preservation of remaining ancient deciduous woodlands and inhibit the conversion of ancient woodlands to coniferous or mixed forests. Additionally, conservation management should strengthen the connections between recent and ancient woodlands through habitat corridors. Furthermore, careful forest management of deciduous ancient woodland sites with high typical woodland plant diversity has to be ensured to avoid soil damage. (C) 2014 Elsevier B.V. All rights reserved."],["dc.identifier.doi","10.1016/j.foreco.2014.06.043"],["dc.identifier.isi","000342244500023"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/32012"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Bv"],["dc.relation.issn","1872-7042"],["dc.relation.issn","0378-1127"],["dc.title","Determining ancient woodland indicator plants for practical use: A new approach developed in northwest Germany"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]