Filters: partyWithName: Kenneth J Bagstad (X)
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In this study, we develop urban ecosystem accounts in the U.S., using the System of Environmental-Economic Accounting Experimental Ecosystem Accounting (SEEA EEA) framework. Most ecosystem accounts focus on regional and national scales, which are appropriate for many ecosystem services. However, ecosystems provide substantial services in cities, improving quality of life and contributing to resiliency for substantial parts of the population. Our models estimate energy savings for indoor cooling resulting from heat mitigated by trees and rainfall intercepted by trees. Both models cover major cities in the contiguous U.S. and report the results through physical supply and use tables for multiple accounting periods...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Environmental Health,
Experimental Ecosystem Accounting,
Forestry,
Hydrology,
Land Use Change,
Water provides society with economic benefits that increasingly involve tradeoffs, making accounting for water quality, quantity, and their corresponding economic productivity more relevant in our interconnected world. In the past, physical and economic data about water have been fragmented, but integration is becoming more widely adopted internationally through application of the System of Environmental-Economic Accounts for Water (SEEA-Water), which enables the tracking of linkages between water and the economy over time and across scales. In this paper, we present the first national and subnational SEEA-Water accounts for the United States. We compile accounts for: (1) physical supply and use of water, (2) water...
The Bing Maps team at Microsoft released a U.S.-wide vector building dataset in 2018, which includes over 125 million building footprints for all 50 states in GeoJSON format. This dataset is extracted from aerial images using deep learning object classification methods. Large-extent modelling (e.g., urban morphological analysis or ecosystem assessment models) or accuracy assessment with vector layers is highly challenging in practice. Although vector layers provide accurate geometries, their use in large-extent geospatial analysis comes at a high computational cost. We used High Performance Computing (HPC) to develop an algorithm that calculates six summary values for each cell in a raster representation of each...
Public participation geographic information systems (PPGIS) is increasingly used in coastal settings to inform natural resource management and spatial planning. Social Values for Ecosystem Services (SolVES), a PPGIS tool that systematizes the mapping and modeling of social values and cultural ecosystem services, is promising for use in coastal settings but has seen relatively limited applications relative to other PPGIS approaches; it has also to our knowledge not yet been applied in a barrier island setting. In this study, we surveyed two visitor groups and residents living near Cape Lookout National Seashore (North Carolina, USA) to understand social values they hold for the area in the context of the park’s management...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Cape Lookout National Seashore,
Climatology,
Ecology,
Environmental Health,
Land Use Change,
Mapping the spatial dynamics of perceived social value across the landscape can help develop a restoration economy that can support ecosystem services in the region. Many different methods have been used to map perceived social value. We used the Social Values for Ecosystem Services (SolVES) GIS tool, version 3.0, which uses social survey responses and various environmental variables to map social value. In the social survey distributed by the Borderlands Restoration Network (BRN) in May 2017, the respondents were asked to consider twelve different social values and map locations on a map where they perceived those social values to be. Additionally, they were asked to weigh each social value using a total of 100...
Note: this version has been superseded by version 2.0: Warnell, K., Boos, E., and Olander, L.P., 2020, Testing ecosystem accounting in the United States: A case study for the Southeast - 2022 Updates (version 2.0, February 2023): U.S. Geological Survey data release, https://doi.org/10.5066/P9VET1YX. Ecosystems benefit people in many ways, but these contributions do not appear in traditional national or corporate accounts so are often left out of policy- and decision-making. Ecosystem accounts, as formalized by the System of Environmental-Economic Accounting Experimental Ecosystem Accounts (SEEA EEA), track the extent and condition of ecosystem assets and the flows of ecosystem services they provide to people...
Coastal zones are popular recreational areas that substantially contribute to social welfare. Managers can use information about specific environmental features that people appreciate, and how these might change under different management scenarios, to spatially target actions to areas of high current or potential value. We explored how snorkelers’ experience would be affected by separate and combined land and marine management actions in West Maui, HawaiĘ»i, using a Bayesian Belief Network (BBN) and a spatially explicit ecosystem services model. The BBN simulates recreational attractiveness by combining snorkelers’ preferences for coastal features with experts’ opinions on ecological dynamics, snorkeler behavior,...
Semi-arid urban environments are undergoing an increase in air temperatures, both in average temperatures and in the frequency and intensity of extreme heat events. Within cities, different varieties of urban landcovers (ULC) and their densities influence local air temperatures, either mitigating or increasing heat. Currently, understanding how various combinations of ULCs influence air temperature at the block to neighborhood scale is limited due to the complexities of urban energy balances at small scales. We quantified how ULC influences air temperature at 60 m resolution for day and nighttime climate normals and heatwaves, by integrating data from microclimate temperature sensor networks and high-resolution...
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