TY - GEN A1 - Kruse, Stefan A1 - Gerdes, Alexander A1 - Kath, Nadja J. A1 - Herzschuh, Ulrike T1 - Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model BT - LAVESI-WIND 1.0 T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - It is of major interest to estimate the feedback of arctic ecosystems to the global warming we expect in upcoming decades. The speed of this response is driven by the potential of species to migrate, tracking their climate optimum. For this, sessile plants have to produce and disperse seeds to newly available habitats, and pollination of ovules is needed for the seeds to be viable. These two processes are also the vectors that pass genetic information through a population. A restricted exchange among subpopulations might lead to a maladapted population due to diversity losses. Hence, a realistic implementation of these dispersal processes into a simulation model would allow an assessment of the importance of diversity for the migration of plant species in various environments worldwide. To date, dynamic global vegetation models have been optimized for a global application and overestimate the migration of biome shifts in currently warming temperatures. We hypothesize that this is caused by neglecting important fine-scale processes, which are necessary to estimate realistic vegetation trajectories. Recently, we built and parameterized a simulation model LAVESI for larches that dominate the latitudinal treelines in the northernmost areas of Siberia. In this study, we updated the vegetation model by including seed and pollen dispersal driven by wind speed and direction. The seed dispersal is modelled as a ballistic flight, and for the pollination of ovules of seeds produced, we implemented a wind-determined and distance-dependent probability distribution function using a von Mises distribution to select the pollen donor. A local sensitivity analysis of both processes supported the robustness of the model's results to the parameterization, although it highlighted the importance of recruitment and seed dispersal traits for migration rates. This individual-based and spatially explicit implementation of both dispersal processes makes it easily feasible to inherit plant traits and genetic information to assess the impact of migration processes on the genetics. Finally, we suggest how the final model can be applied to substantially help in unveiling the important drivers of migration dynamics and, with this, guide the improvement of recent global vegetation models. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 929 KW - long-distance dispersal KW - climate-change KW - genetic-structure KW - plant migration KW - larix-sibirica KW - DNA variation KW - large-scale KW - vegetation KW - landscape KW - future Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-445978 SN - 1866-8372 IS - 929 SP - 4451 EP - 4467 ER - TY - GEN A1 - Heim, Olga A1 - Lorenz, Lukas A1 - Kramer-Schadt, Stephanie A1 - Jung, Kirsten A1 - Voigt, Christian C. A1 - Eccard, Jana T1 - Landscape and scale-dependent spatial niches of bats foraging above intensively used arable fields T2 - Postprints der Universität Potsdam : Mathematisch Naturwissenschaftliche Reihe N2 - Introduction Bats are threatened by agricultural intensification, and although bat ecology in agricultural landscapes is in the focus of current research, the effects of interacting spatiotemporal factors on species-specific bat activity above farmland remain understudied. Our aim was to identify spatiotemporal factors and their interactions relevant for the activity of bat species above conventionally managed arable fields. Methods We repeatedly monitored relative bat activity above open arable fields in Germany using acoustic monitoring. We used site-related biotic and abiotic factors and landscape characteristics across five spatial scales, their combinations, and interactions to identify those factors which best explain variation in bat activity. Results Numerous interactions between landscape characteristics and the insect abundance affected bat activity above fields. For instance, Pipistrellus pipistrellus became more active with increasing insect abundance, but only above fields with a low proportion of woody vegetation cover in the surroundings. Additionally, the level of bat activity in summer depended on landscape characteristics. For example, the activity of Pipistrellus nathusii was relatively low in summer above fields that were surrounded by vegetation patches with a high degree of edge complexity (e.g., hedgerow). However, the activity remained at a relatively high level and did not differ between seasons above fields that were surrounded by vegetation patches with a low degree of edge complexity (e.g., roundly shaped forest patch). Conclusions Our results revealed that landscape characteristics and their interactions with insect abundance affected bat activity above conventionally managed fields and highlighted the opportunistic foraging behavior of bats. To improve the conditions for bats in agricultural landscapes, we recommend re-establishing landscape heterogeneity to protect aquatic habitats and to increase arthropod availability. KW - AgroScapeLabs KW - european bat species KW - agriculture KW - landscape KW - multi-scale habitat modeling KW - ecosystem service KW - conservation Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-428166 IS - 826 ER - TY - THES A1 - Weißhuhn, Peter T1 - Assessing biotope vulnerability to landscape changes T1 - Bewertung der Vulnerabilität von Biotopen gegenüber Landschaftsveränderungen N2 - Largescale patterns of global land use change are very frequently accompanied by natural habitat loss. To assess the consequences of habitat loss for the remaining natural and semi-natural biotopes, inclusion of cumulative effects at the landscape level is required. The interdisciplinary concept of vulnerability constitutes an appropriate assessment framework at the landscape level, though with few examples of its application for ecological assessments. A comprehensive biotope vulnerability analysis allows identification of areas most affected by landscape change and at the same time with the lowest chances of regeneration. To this end, a series of ecological indicators were reviewed and developed. They measured spatial attributes of individual biotopes as well as some ecological and conservation characteristics of the respective resident species community. The final vulnerability index combined seven largely independent indicators, which covered exposure, sensitivity and adaptive capacity of biotopes to landscape changes. Results for biotope vulnerability were provided at the regional level. This seems to be an appropriate extent with relevance for spatial planning and designing the distribution of nature reserves. Using the vulnerability scores calculated for the German federal state of Brandenburg, hot spots and clusters within and across the distinguished types of biotopes were analysed. Biotope types with high dependence on water availability, as well as biotopes of the open landscape containing woody plants (e.g., orchard meadows) are particularly vulnerable to landscape changes. In contrast, the majority of forest biotopes appear to be less vulnerable. Despite the appeal of such generalised statements for some biotope types, the distribution of values suggests that conservation measures for the majority of biotopes should be designed specifically for individual sites. Taken together, size, shape and spatial context of individual biotopes often had a dominant influence on the vulnerability score. The implementation of biotope vulnerability analysis at the regional level indicated that large biotope datasets can be evaluated with high level of detail using geoinformatics. Drawing on previous work in landscape spatial analysis, the reproducible approach relies on transparent calculations of quantitative and qualitative indicators. At the same time, it provides a synoptic overview and information on the individual biotopes. It is expected to be most useful for nature conservation in combination with an understanding of population, species, and community attributes known for specific sites. The biotope vulnerability analysis facilitates a foresighted assessment of different land uses, aiding in identifying options to slow habitat loss to sustainable levels. It can also be incorporated into planning of restoration measures, guiding efforts to remedy ecological damage. Restoration of any specific site could yield synergies with the conservation objectives of other sites, through enhancing the habitat network or buffering against future landscape change. Biotope vulnerability analysis could be developed in line with other important ecological concepts, such as resilience and adaptability, further extending the broad thematic scope of the vulnerability concept. Vulnerability can increasingly serve as a common framework for the interdisciplinary research necessary to solve major societal challenges. N2 - Weltweit wurden in den vergangenen Jahrzehnten massive Veränderungen in der Landnutzung vorgenommen. Diese gingen meistens mit dem Verlust natürlicher Habitate einher. Um die Folgen auf die verbliebenen naturnahen Biotope zu bewerten, sind Analyseinstrumente notwendig, die neben einzelnen Flächen auch kumulative Effekte auf der Landschaftsebene einbeziehen. Das interdisziplinäre Konzept der Vulnerabilität kann einem solchen Analyseinstrument den Rahmen bieten. Bisher wurde es kaum für die Bewertung ökologischer Systeme herangezogen. Dabei kann eine flächendeckende Biotop-Vulnerabilitätsanalyse jene Gebiete identifizieren, die vom Landschaftswandel am stärksten betroffen sind und die gleichzeitig die geringsten Erholungsaussichten aufweisen. Dazu wurde eine Reihe ökologischer Indikatoren gesichtet und entwickelt, um die drei Vulnerabilitätsgrößen Exposition, Sensitivität und Anpassungskapazität abzudecken. Dabei wurden die Lagebeziehungen einzelner Biotope sowie die Eigenschaften der jeweils ansässigen Artengemeinschaft ausgewertet. Der errechnete Index kombiniert sieben voneinander weitestgehend unabhängige Indikatoren und stellt eine Übersicht der Biotop-Vulnerabilität dar. Liegt eine flächendeckende Vulnerabilitätsbewertung vor, können räumliche Häufungen von hohen Werten sowie die Verteilung der besonders hohen und besonders niedrigen Werte über die Biotoptypen hinweg analysiert werden. Dies erscheint besonders sinnvoll für Flächengrößen mit Relevanz für die Raumplanung und die Verteilung der Naturschutzflächen. Es stellte sich heraus, dass in der Planungsregion Brandenburg vor allem die Biotope mit hoher Abhängigkeit von der Wasserverfügbarkeit, sowie die Gehölze enthaltenden Offenlandbiotope (z.B. Streuobstwiesen) besonders vulnerabel gegenüber Landschaftsveränderungen sind. Im Gegensatz dazu erscheint die Mehrheit der Waldbiotope weniger verwundbar zu sein. Trotz der Möglichkeit zur Ableitung solcher verallgemeinerten Aussagen für einige Biotoptypen legt die Werteverteilung nahe, Naturschutzmaßnahmen mehrheitlich spezifisch für einzelne Flächen zu entwerfen. Größe, Form und räumlicher Kontext einzelner Biotopflächen üben zusammengenommen häufig einen dominanten Einfluss auf die Vulnerabilität gegenüber Landschaftsveränderungen aus. Die Demonstration der Biotop-Vulnerabilitätsanalyse auf regionaler Ebene zeigt, dass mit Methoden der Geoinformatik auch große Biotop-Datensätze detailliert ausgewertet werden können. Die damit erzielte naturschutzfachliche Analyse basiert auf transparent berechneten qualitativen und quantitativen Indikatoren und ist damit vollständig nachvollziehbar. Sie bietet gleichzeitig einen großräumigen Überblick sowie Informationen zu den einzelnen Biotopflächen. Mit der Vulnerabilitätsanalyse von Biotopen wird die vorausschauende Abwägung zwischen verschiedenen Landnutzungen erleichtert. Dies kann dazu beitragen, dass der Habitatverlust in Zukunft auf ein nachhaltigeres Maß gebremst wird. Auch kann eine solche Biotopbewertung in die Planung von Renaturierungsmaßnahmen einfließen, um ökologische Schäden zunächst dort zu beheben, wo große Synergieeffekte im Biotopverbund und mit anderen Naturschutzzielen zu erwarten sind. Die Biotop-Vulnerabilitätsanalyse konnte im Einklang mit wichtigen ökologischen Konzepten wie Resilienz und Anpassungsfähigkeit entwickelt werden. Sie erweitert damit den ohnehin breiten thematischen Anwendungsbereich des Vulnerabilitätskonzepts. Somit kann Vulnerabilität zunehmend als Brückenkonzept dienen und der zur Lösung der großen gesellschaftlichen Herausforderungen notwendigen interdisziplinären Forschung einen gemeinsamen Rahmen geben. KW - vulnerability KW - biotope KW - habitat KW - index KW - landscape KW - spatial ecology KW - landscape ecology KW - Vulnerabilität KW - Biotop KW - Habitat KW - Index KW - Landschaft KW - raumbezogene Ökologie KW - Landschaftsökologie Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-442777 ER - TY - GEN A1 - Comber, Alexis A1 - Mooney, Peter A1 - Purves, Ross S. A1 - Rocchini, Duccio A1 - Walz, Ariane T1 - Crowdsourcing: it matters who the crowd are BT - the impacts of between group variations in recording land cover T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Volunteered geographical information (VGI) and citizen science have become important sources data for much scientific research. In the domain of land cover, crowdsourcing can provide a high temporal resolution data to support different analyses of landscape processes. However, the scientists may have little control over what gets recorded by the crowd, providing a potential source of error and uncertainty. This study compared analyses of crowdsourced land cover data that were contributed by different groups, based on nationality (labelled Gondor and Non-Gondor) and on domain experience (labelled Expert and Non-Expert). The analyses used a geographically weighted model to generate maps of land cover and compared the maps generated by the different groups. The results highlight the differences between the maps how specific land cover classes were under-and over-estimated. As crowdsourced data and citizen science are increasingly used to replace data collected under the designed experiment, this paper highlights the importance of considering between group variations and their impacts on the results of analyses. Critically, differences in the way that landscape features are conceptualised by different groups of contributors need to be considered when using crowdsourced data in formal scientific analyses. The discussion considers the potential for variation in crowdsourced data, the relativist nature of land cover and suggests a number of areas for future research. The key finding is that the veracity of citizen science data is not the critical issue per se. Rather, it is important to consider the impacts of differences in the semantics, affordances and functions associated with landscape features held by different groups of crowdsourced data contributors. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 539 KW - volunteered geographic information KW - citizen science KW - categories KW - landscape KW - accuracy KW - ontology KW - internet Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-410894 SN - 1866-8372 IS - 539 ER - TY - GEN A1 - Wilske, Burkhard A1 - Eccard, Jana A1 - Zistl-Schlingmann, Marcus A1 - Hohmann, Maximilian A1 - Methler, Annabel A1 - Herde, Antje A1 - Liesenjohann, Thilo A1 - Dannenmann, Michael A1 - Butterbach-Bahl, Klaus A1 - Breuer, Lutz T1 - Effects of short term bioturbation by common voles on biogeochemical soil variables T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Bioturbation contributes to soil formation and ecosystem functioning. With respect to the active transport of matter by voles, bioturbation may be considered as a very dynamic process among those shaping soil formation and biogeochemistry. The present study aimed at characterizing and quantifying the effects of bioturbation by voles on soil water relations and carbon and nitrogen stocks. Bioturbation effects were examined based on a field set up in a luvic arenosol comprising of eight 50 x 50 m enclosures with greatly different numbers of common vole (Microtus arvalis L., ca. 35-150 individuals ha(-1) mth(-1)). Eleven key soil variables were analyzed: bulk density, infiltration rate, saturated hydraulic conductivity, water holding capacity, contents of soil organic carbon (SOC) and total nitrogen (N), CO2 emission potential, C/N ratio, the stable isotopic signatures of C-13 and N-15, and pH. The highest vole densities were hypothesized to cause significant changes in some variables within 21 months. Results showed that land history had still a major influence, as eight key variables displayed an additional or sole influence of topography. However, the delta N-15 at depths of 10-20 and 20-30 cm decreased and increased with increasing vole numbers, respectively. Also the CO2 emission potential from soil collected at a depth of 15-30 cm decreased and the C/N ratio at 5-10 cm depth narrowed with increasing vole numbers. These variables indicated the first influence of voles on the respective mineralization processes in some soil layers. Tendencies of vole activity homogenizing SOC and N contents across layers were not significant. The results of the other seven key variables did not confirm significant effects of voles. Thus overall, we found mainly a first response of variables that are indicative for changes in biogeochemical dynamics but not yet of those representing changes in pools. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 499 KW - small mammalian herbivores KW - Microtus agrestis KW - pocket gophers KW - field voles KW - ecosystem services KW - functional traits KW - organic-carbon KW - nitrogen KW - population KW - landscape Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-408375 SN - 1866-8372 IS - 499 ER -