To meet societal needs, modem estuarine science needs to be interdisciplinary and collaborative, combine discovery with hypotheses testing, and be responsive to issues facing both regional and global stakeholders. Suc...To meet societal needs, modem estuarine science needs to be interdisciplinary and collaborative, combine discovery with hypotheses testing, and be responsive to issues facing both regional and global stakeholders. Such an approach is best conducted with the benefit of data-rich environments, where information from sensors and models is openly accessible within convenient timeframes. Here, we introduce the operational infrastruc- ture of one such data-rich environment, a collaboratory created to support (a) interdisciplinary research in the Columbia River estuary by the multi-institutional team of investigators of the Science and Technology Center for Coastal Margin Observation & Prediction and (b) the integration of scientific knowledge into regional decision making. Core components of the operational infrastructure are an observation network, a modeling system and a cyber-infrastructure, each of which is described. The observation network is anchored on an extensive array of long-term stations, many of them interdisciplinary, and is complemented by on-demand deployment of temporary stations and mobile platforms, often in coordinated field campaigns. The modeling system is based on finite- element unstructured-grid codes and includes operational and process-oriented simulations of circulation, sediments and ecosystem processes. The flow of information is managed through a dedicated cyber-infrastructure, con- versant with regional and national observing systems.展开更多
Introduction:Biotic soil crust communities contribute valuable ecosystem services and biodiversity in steppe ecosystems.The uncommon crust lichens Acarospora schleicheri,Fuscopannaria cyanolepra,Rhizocarpon diploschis...Introduction:Biotic soil crust communities contribute valuable ecosystem services and biodiversity in steppe ecosystems.The uncommon crust lichens Acarospora schleicheri,Fuscopannaria cyanolepra,Rhizocarpon diploschistidina,and Texosporium sancti-jacobi are associated with fine-textured soils along rivers of the Columbia Basin.A.schleicheri and R.diploschistidina indicate late-successional habitat and may serve as indicators for other rare or cryptic species associated with similar habitats.Much of the most favorable habitat for these species has been lost to urban and agricultural development.We sought to overlay favorable habitats with wind farm development potential to assess whether these species are likely to be affected by renewable energy development.Methods:We overlaid habitat models for four lichen species on land use and wind farm potential maps.Using a sample of 5,000 points,we determined whether there were differences in probability of occurrence among wind farm potential classes within developed and natural lands using Multi-Response Permutation Procedures.Sites with modeled probability of occurrence greater than 60%were considered“favorable”habitats;for these,aχ2 test allowed us to determine whether favorable habitats were associated with wind farm potential categories.Results:Sites that are developed for agriculture or have higher wind farm potential coincide with more favorable habitats for uncommon soil crust lichens.Of the favorable habitats for the four focal lichens,28–42%are already affected by development or agriculture;5–14%of favorable habitats remain in natural vegetation and are considered sites with fair or good potential for wind farms.Conclusions:Development of wind energy has the potential to negatively impact uncommon soil crust lichen species because favorable sites coincide with especially good habitat for these species.However,as these renewable energy resources are developed,we have the opportunity to ensure that valuable soil crust functions and diversity are maintained by surveying before construction and planning new facilities such that disturbance to existing habitat is minimized.展开更多
文摘To meet societal needs, modem estuarine science needs to be interdisciplinary and collaborative, combine discovery with hypotheses testing, and be responsive to issues facing both regional and global stakeholders. Such an approach is best conducted with the benefit of data-rich environments, where information from sensors and models is openly accessible within convenient timeframes. Here, we introduce the operational infrastruc- ture of one such data-rich environment, a collaboratory created to support (a) interdisciplinary research in the Columbia River estuary by the multi-institutional team of investigators of the Science and Technology Center for Coastal Margin Observation & Prediction and (b) the integration of scientific knowledge into regional decision making. Core components of the operational infrastructure are an observation network, a modeling system and a cyber-infrastructure, each of which is described. The observation network is anchored on an extensive array of long-term stations, many of them interdisciplinary, and is complemented by on-demand deployment of temporary stations and mobile platforms, often in coordinated field campaigns. The modeling system is based on finite- element unstructured-grid codes and includes operational and process-oriented simulations of circulation, sediments and ecosystem processes. The flow of information is managed through a dedicated cyber-infrastructure, con- versant with regional and national observing systems.
基金Sampling and analysis of soil crust lichen data were supported by Kelli Van Norman through the Region 6 Forest Service and OR/WA Bureau of Land Management Interagency Special Status/Sensitive Species Program.Jesse Miller,supported through the Bureau of Land Management and Chicago Botanical Garden,assisted with fieldwork.This manuscript was improved by discussions with Rick Demmer and Olivia Duren.The manuscript was improved by comments from Matthew Bowker and one anonymous reviewer.
文摘Introduction:Biotic soil crust communities contribute valuable ecosystem services and biodiversity in steppe ecosystems.The uncommon crust lichens Acarospora schleicheri,Fuscopannaria cyanolepra,Rhizocarpon diploschistidina,and Texosporium sancti-jacobi are associated with fine-textured soils along rivers of the Columbia Basin.A.schleicheri and R.diploschistidina indicate late-successional habitat and may serve as indicators for other rare or cryptic species associated with similar habitats.Much of the most favorable habitat for these species has been lost to urban and agricultural development.We sought to overlay favorable habitats with wind farm development potential to assess whether these species are likely to be affected by renewable energy development.Methods:We overlaid habitat models for four lichen species on land use and wind farm potential maps.Using a sample of 5,000 points,we determined whether there were differences in probability of occurrence among wind farm potential classes within developed and natural lands using Multi-Response Permutation Procedures.Sites with modeled probability of occurrence greater than 60%were considered“favorable”habitats;for these,aχ2 test allowed us to determine whether favorable habitats were associated with wind farm potential categories.Results:Sites that are developed for agriculture or have higher wind farm potential coincide with more favorable habitats for uncommon soil crust lichens.Of the favorable habitats for the four focal lichens,28–42%are already affected by development or agriculture;5–14%of favorable habitats remain in natural vegetation and are considered sites with fair or good potential for wind farms.Conclusions:Development of wind energy has the potential to negatively impact uncommon soil crust lichen species because favorable sites coincide with especially good habitat for these species.However,as these renewable energy resources are developed,we have the opportunity to ensure that valuable soil crust functions and diversity are maintained by surveying before construction and planning new facilities such that disturbance to existing habitat is minimized.