Historical Grassland Turboveg Database Project. 2067 Relevés recorded by Dr Austin O’ Sullivan 1962 – 1982

User Guide and CD of Database are availableEnd of project reportThe more common grassland types occupy about 70% of the Irish landscape (O’Sullivan, 1982), but information on these vegetation types is rare. Generally, Irish grasslands are distinguished based on the intensity of their management (improved or semi-natural grasslands), and the drainage conditions and acidity of the soil (dry or wet, calcareous or acidic grassland types) (Fossitt, 2000). However, little is known about their floristic composition and the changes in floristic composition over time. The current knowledge on grassland vegetation is mostly based on a survey of Irish grasslands by Dr. Austin O’Sullivan completed in the 1960’s and 1970’s (O’Sullivan, 1982). In this survey O’Sullivan identified Irish grassland types in accordance with the classification of continental European grasslands based on the principles of the School of Phytosociology. O’Sullivan distinguished five main grassland types introducing agricultural criteria as well as floristic criteria into grassland classification (O’Sullivan, 1982). In 1978, O’Sullivan made an attempt at mapping Ireland’s vegetation types including the five grassland types distinguished in his later publication as well as two types of peatland vegetation (Figures 1 and 2). This map was completed using 1960’s soils maps (National Soil Survey, Teagasc, Johnstown Castle) and a subsample of the dataset on the composition of Irish grasslands. Phytosociological classification of vegetation is based on the full floristic composition of the vegetation as determined by assessing the abundance and spatial structure of the plant species in a given area. The actual area of the survey (or relevé) is determined according to strict criteria, which include how representative the sample area is for the wider vegetation (i.e. how many of the species found in the wider area are also present in the survey area).National Parks and Wildlife Service of the Department of the Environment, Heritage and Local Government, Dublin, Ireland

US-Hungary Grassland Biodiversity (cross-site project): 4x4 m Sample Plot Data (1996-1997)

Plant cover estimates were collected from Bouteloua grasslands at 3 different LTER (SGS, SEV, JRN) sites in summer of 1996/1997. The purpose of the data collection was to compare species composition and diversity between LTER sites and sandy grassland sites in Hungary

Simulated future development of the Greater Dublin Area: consequences for protected areas and coastal flooding risk

The Greater Dublin Area (GDA) has experienced rapid urban expansion over the past 20 years. The development pattern has been described as economically driven and developer-led.These changes have had some well recognised consequences such as urban sprawl, congestion and a decrease in environmental quality. Despite the economic downturn, it is projected that the population of the GDA will continue to increase, potentially exacerbating the negative consequences of urban expansion. The objective of this study was to assess the consequences of continued urban expansion on the region, with particular emphasis on protected areas and flooding risk. To assess the consequences of continued urban expansion we used the MOLAND model; a cellular automaton-based spatial decision support system that has been widely applied across Europe. This model allows the user to explore urban growth under different population, infrastructure and policy scenarios. Using MOLAND we simulated urban expansion in the GDA under four population projections to 2026, assuming spatial trends of urban development stay similar to the recent past. In all scenarios development disperses widely across the study area, formerly separate towns merge and coastal regions are subject to particularly high growth. We discuss the simulated development in terms of its ecological, environmental, social and health effects.Environmental Protection Agenc

The Effect of Kangaroo-Rat Activity on Plant Species Composition at the Sevilleta National Wildlife Refuge, New Mexico (1999)

Our objective was to evaluate the effects of kangaroo rat mounds on species diversity and composition at a semiarid-arid grassland ecotone. We expected that source populations of plants occurring on kangaroo rat mounds have important influences on the species composition of vegetation at the landscape scale, and that these influences differ by grassland type. Our study was conducted at the Sevilleta LTER in New Mexico, where a grassland type dominated by Bouteloua gracilis, a shortgrass steppe species, and a grassland type dominated by B. eriopoda, a desert grassland species, meet to form patches across the landscape. Four 0.4 ha plots were sampled for species diversity and composition in a regular 7m x 7m grid in each grassland type. Kangaroo rat mounds were also mapped and sampled for vegetation measures in four areas of 1.6 ha in each type. The landscape scale abundance of many subordinate species was increased significantly by populations occurring on kangaroo rat mounds in both grassland types. However, the area affected by the burrowing activity of kangaroo rats was twice as large in the B. eriopoda dominated grassland type. Furthermore, dominant plants on mounds in the B. eriopoda type were also abundant in off-mound areas whereas dominant plants on mounds in the B. gracilis type were not as abundant off-mound. These results indicate that the presence of mounds in the B. gracilis dominated type is creating islands of plant communities that are distinct from the rest of the grassland. Therefore, the occurrence of certain plant species in this grassland type may be intimately associated with the disturbance regime at this ecotone. This study demonstrates that effects of small burrowing animals may facilitate the coexistence of species at this ecotone

Where have all the parks gone? Changes in Dublin\u27s green space between 1990 and 2006

Between 1990 and 2006, the Dublin Region was amongst the most rapidly growing urban areas in Europe. The increase in population and industry presents particular challenges for spatial planning. The aim of the Urban Environment Project (UEP, www.uep.ie) is to provide spatial data and forecasts of future land-use patterns by using dynamic urban modelling which will underpin the development of decision-support tools for planners and policy-makers. For this study, we are using UEP landcover datasets to specifically address the question of what changes in urban green space (GS) occurred over a period of rapid growth (1990 – 2006). GS provides many functions within a city, ranging from the biotic (habitat provision, corridors of dispersal, reservoir populations) to the abiotic (storm water control, carbon sequestration, temperature regulation, increased property values). Over the study period (1990 – 2006) artificial urban surfaces have increased by 30% (by 8926 ha). Although the overall percentage of GS to built fabric stayed roughly constant over time (at about 23%), the losses and gains of GS were not evenly distributed throughout the city. GS was mainly lost near the city centre, where it converted to built areas. The GS gained was at the perimeter of the city to the detriment of agricultural land and semi-natural vegetation types. The result is a net loss of vegetated surfaces both within and outside the city. We discuss the possible implications of these changes in Dublin’s GS.Environmental Protection Agenc

Where have all the parks gone? Changes in Dublin's green space between 1990 and 2006

Between 1990 and 2006, the Dublin Region was amongst the most rapidly growing urban areas in Europe. The increase in population and industry presents particular challenges for spatial planning. The aim of the Urban Environment Project (UEP, www.uep.ie) is to provide spatial data and forecasts of future land-use patterns by using dynamic urban modelling which will underpin the development of decision-support tools for planners and policy-makers. For this study, we are using UEP landcover datasets to specifically address the question of what changes in urban green space (GS) occurred over a period of rapid growth (1990 – 2006). GS provides many functions within a city, ranging from the biotic (habitat provision, corridors of dispersal, reservoir populations) to the abiotic (storm water control, carbon sequestration, temperature regulation, increased property values). Over the study period (1990 – 2006) artificial urban surfaces have increased by 30% (by 8926 ha). Although the overall percentage of GS to built fabric stayed roughly constant over time (at about 23%), the losses and gains of GS were not evenly distributed throughout the city. GS was mainly lost near the city centre, where it converted to built areas. The GS gained was at the perimeter of the city to the detriment of agricultural land and semi-natural vegetation types. The result is a net loss of vegetated surfaces both within and outside the city. We discuss the possible implications of these changes in Dublin’s GS.Environmental Protection Agenc

Historical Grassland Turboveg Database Project. 2067 Relevés recorded by Dr Austin O’ Sullivan 1962 – 1982

User Guide and CD of Database are availableEnd of project reportThe more common grassland types occupy about 70% of the Irish landscape (O’Sullivan, 1982), but information on these vegetation types is rare. Generally, Irish grasslands are distinguished based on the intensity of their management (improved or semi-natural grasslands), and the drainage conditions and acidity of the soil (dry or wet, calcareous or acidic grassland types) (Fossitt, 2000). However, little is known about their floristic composition and the changes in floristic composition over time. The current knowledge on grassland vegetation is mostly based on a survey of Irish grasslands by Dr. Austin O’Sullivan completed in the 1960’s and 1970’s (O’Sullivan, 1982). In this survey O’Sullivan identified Irish grassland types in accordance with the classification of continental European grasslands based on the principles of the School of Phytosociology. O’Sullivan distinguished five main grassland types introducing agricultural criteria as well as floristic criteria into grassland classification (O’Sullivan, 1982). In 1978, O’Sullivan made an attempt at mapping Ireland’s vegetation types including the five grassland types distinguished in his later publication as well as two types of peatland vegetation (Figures 1 and 2). This map was completed using 1960’s soils maps (National Soil Survey, Teagasc, Johnstown Castle) and a subsample of the dataset on the composition of Irish grasslands. Phytosociological classification of vegetation is based on the full floristic composition of the vegetation as determined by assessing the abundance and spatial structure of the plant species in a given area. The actual area of the survey (or relevé) is determined according to strict criteria, which include how representative the sample area is for the wider vegetation (i.e. how many of the species found in the wider area are also present in the survey area).National Parks and Wildlife Service of the Department of the Environment, Heritage and Local Government, Dublin, Ireland

Social simulation for a digital society: applications and innovations in computational social science

“Social Simulation for a Digital Society” provides a cross-section of state-of-the-art research in social simulation and computational social science. With the availability of big data and faster computing power, the social sciences are undergoing a tremendous transformation. Research in computational social sciences has received considerable attention in the last few years, with advances in a wide range of methodologies and applications. Areas of application of computational methods range from the study of opinion and information dynamics in social networks, the formal modeling of resource use, the study of social conflict and cooperation to the development of cognitive models for social simulation and many more. This volume is based on the Social Simulation Conference of 2017 in Dublin and includes applications from across the social sciences, providing the reader with a demonstration of the highly versatile research in social simulation, with a particular focus on public policy relevance in a digital society. Chapters in the book include contributions to the methodology of simulation-based research, theoretical and philosophical considerations, as well as applied work. This book will appeal to students and researchers in the field.

Climate change-induced vegetation shifts lead to more ecological droughts despite projected rainfall increases in many global temperate drylands

Drylands occur world-wide and are particularly vulnerable to climate change since dryland ecosystems depend directly on soil water availability that may become increasingly limited as temperatures rise. Climate change will both directly impact soil water availability, and also change plant biomass, with resulting indirect feedbacks on soil moisture. Thus, the net impact of direct and indirect climate change effects on soil moisture requires better understanding. We used the ecohydrological simulation model SOILWAT at sites from temperate dryland ecosystems around the globe to disentangle the contributions of direct climate change effects and of additional indirect, climate change-induced changes in vegetation on soil water availability. We simulated current and future climate conditions projected by 16 GCMs under RCP 4.5 and RCP 8.5 for the end of the century. We determined shifts in water availability due to climate change alone and due to combined changes of climate and the growth form and biomass of vegetation. Vegetation change will mostly exacerbate low soil water availability in regions already expected to suffer from negative direct impacts of climate change (with the two RCP scenarios giving us qualitatively similar effects). By contrast, in regions that will likely experience increased water availability due to climate change alone, vegetation changes will counteract these increases due to increased water losses by interception. In only a small minority of locations, climate change induced vegetation changes may lead to a net increase in water availability. These results suggest that changes in vegetation in response to climate change may exacerbate drought conditions and may dampen the effects of increased precipitation, i.e. leading to more ecological droughts despite higher precipitation in some regions. Our results underscore the value of considering indirect effects of climate change on vegetation when assessing future soil moisture conditions in water-limited ecosystems. This article is protected by copyright. All rights reserved