scholarly journals Impacts to ecosystem services from aquatic acidification: using FEGS-CS to understand the impacts of air pollution

Ecosphere ◽  
2017 ◽  
Vol 8 (5) ◽  
pp. e01807 ◽  
Author(s):  
Claire B. O'Dea ◽  
Sarah Anderson ◽  
Timothy Sullivan ◽  
Dixon Landers ◽  
C. Frank Casey
Land ◽  
2018 ◽  
Vol 7 (3) ◽  
pp. 101 ◽  
Author(s):  
Janis Arnold ◽  
Janina Kleemann ◽  
Christine Fürst

Urban ecosystem services (ES) contribute to the compensation of negative effects caused by cities by means of, for example, reducing air pollution and providing cooling effects during the summer time. In this study, an approach is described that combines the regional biotope and land use data set, hemeroby and the accessibility of open space in order to assess the provision of urban ES. Hemeroby expresses the degree of naturalness of land use types and, therefore, provides a differentiated assessment of urban ES. Assessment of the local capacity to provide urban ES was conducted with a spatially explicit modeling approach in the city of Halle (Saale) in Germany. The following urban ES were assessed: (a) global climate regulation, (b) local climate regulation, (c) air pollution control, (d) water cycle regulation, (e) food production, (f) nature experience and (g) leisure activities. We identified areas with high and low capacity of ES in the urban context. For instance, the central parts of Halle had very low or no capacity to provide ES due to highly compact building styles and soil sealing. In contrast, peri-urban areas had particularly high capacities. The potential provision of regulating services was spatially limited due to the location of land use types that provide these services.


2010 ◽  
Vol 158 (6) ◽  
pp. 1986-1989 ◽  
Author(s):  
E. Paoletti ◽  
M. Schaub ◽  
R. Matyssek ◽  
G. Wieser ◽  
A. Augustaitis ◽  
...  

EDIS ◽  
2011 ◽  
Vol 2011 (8) ◽  
Author(s):  
Francisco Escobedo ◽  
Joy Klein ◽  
Micah Pace ◽  
Henry Mayer ◽  
Sebastian Varela

The urban forest in Miami-Dade County reduces air pollution, controls stormwater, reduces crime, increases real estate values, and improves livability. This 14-page fact sheet can be used by urban foresters, residents, and planners to better understand and maximize the benefits of this important natural resource. Written by Francisco Escobedo, Joy Klein, Micah Pace, Henry Mayer, and Sebastian Varela, and published by the UF Department of School of Forest Resources and Conservation, July 2011. (UF/IFAS Photo by Eric Zamora) http://edis.ifas.ufl.edu/fr347   


2008 ◽  
Vol 34 (6) ◽  
pp. 347-358
Author(s):  
David Nowak ◽  
Daniel Crane ◽  
Jack Stevens ◽  
Robert Hoehn ◽  
Jeffrey Walton ◽  
...  

To properly manage urban forests, it is essential to have data on this important resource. An efficient means to obtain this information is to randomly sample urban areas. To help assess the urban forest structure (e.g., number of trees, species composition, tree sizes, health) and several functions (e.g., air pollution removal, carbon storage and sequestration), the Urban Forest Effects (UFORE) model was developed. Data collection variables and model methods are detailed and urban forest structure results are compared among 14 United States cities with average tree density ranging between 22.5 trees/ha (9.1 trees/ac) in Casper, Wyoming, U.S. to 275.8 trees/ha (111.6 trees/ac) in Atlanta, Georgia, U.S. Advantages and disadvantages of this ground-based method of assessing urban forest structure, functions, and values are discussed.


Author(s):  
Ibrahim Niankara ◽  
Didier T. Zoungrana

This study inscribes itself in the global discussion on the nurturing of pro-environmental behaviors among young people for a sustainable future. Here we focus on students' interest in Ecosystem Services and Sustainability to explain their awareness and optimism about the environmental issues of air pollution, water shortage and green gas emission in 50 countries around the world. To this end, we use the cross-sectional survey data of the OECD's Program for International Student Assessment (PISA) 2015, along with seemingly unrelated bi-variate weighted ordered Probit modeling with country specific effects. The results show that in addition to factors such as age, gender, immigration status, and economic, social and cultural status, interest in the biosphere is a significant determinant of students' environmental awareness and optimism. In fact, a one level increase in students' interest in ecosystem services and sustainability raises on average their awareness level by 15.3% for the issue of air pollution, 15.7% for the issue of water shortage, and 24.6% for the issue of green gas emission. Although students' interest in the biosphere seems to not have a significant effect on their expectations about the issue of green gas emission, it does however raise their level of optimism by 0.8% for the issue of air pollution, and 0.2% for the issue of water shortage. Furthermore, every one level increase in students' environmental awareness leads to 17.3% more optimism about the issue of air pollution, 15.8% more optimism about the issue of water shortage, and 17.4% more optimism about the issue of green gas emission. Therefore, relying on the Theory of Planned Behavior (TPB), our results imply that governments and policy makers can successfully leverage young people interests in the biosphere to effectively achieve their goals for sustainability.


2021 ◽  
Author(s):  
Camilla Andersson ◽  

<p>Biodiversity includes any type of living variation, from the ecosystem level to genetic variation within organisms. The greatest threats to biodiversity is climate change, destruction of habitats and other human activities. High-altitude mountain regions are pristine environments, with historically small impacts from air pollution, but at risk of being disproportionately impacted by climate change. We focus on three mountainous regions: the Scandinavian Mountains, the Guadarrama Mountains in Spain, and the Pyrenees in France, Andorra and Spain. We study the impact of drivers of change of biodiversity such as future climate change, increased incidences of wild fires, emissions from new shipping routes in the Arctic as ice sheets are melting, human impacts on land use and management practices (such as reindeer grazing) and air pollution.</p><p>We simulate future climate change using WRF and a convective permitting climate model, HARMONIE-Climate, with a spatial resolution of 3km. The high resolution strongly improves the representation of precipitation compared to coarser scale simulations (Lind et al., 2020). We use these simulations to develop future scenarios of air pollution load, using two well established chemistry transport models (MATCH and CHIMERE; Marécal et al., 2015). These climate and air pollution scenarios are subsequently used, together with management scenarios, to develop scenarios for biodiversity and ecosystem services. These scenarios are developed applying a process-based dynamic vegetation and biogeochemistry model, LPJ-GUESS (Smith et al., 2014). </p><p>The scenarios, representing mid-21<sup>st</sup> century, will be made available through a web-based planning tool, where local stakeholders in each region can explore the project results to understand how scenarios of climate change, air pollution and policy development will affect these ecosystems. Local stakeholders are involved throughout the project, such as reindeer herder communities, regional county boards and national authorities, and in a time of changing climate and a global pandemic we have learned the necessity for flexibility in such interactions.</p><p> </p><p>References</p><p>Lind et al. 2020., Climate Dynamics 55, 1893-1912.</p><p>Marécal et al., 2015. Geosci. Mod. Dev. 8, 2777-2813.</p><p>Smith et al. 2014 Biogeosciences 11, 2027-2054.</p>


2013 ◽  
Vol 39 (2) ◽  
Author(s):  
Nicholas Martin ◽  
Arthur Chappelka ◽  
Greg Somers ◽  
Edward Loewenstein ◽  
Gary Keever

Auburn University (Auburn, Alabama, U.S.) was used as a site for a case study evaluating the standard plot sampling protocol for i-Tree Eco. A 100% tree inventory of the managed areas of campus was conducted in 2009–2010 and provided a complete data set for the evaluation. Air pollution removal, carbon storage, and carbon sequestration were the ecosystem services examined. Total tree population was also utilized for this assessment to provide a comparison to i-Tree Eco protocol. To achieve an estimate with a ±10% allowable error of the total campus value, 622 plots (0.04 ha each) with at least one tree present would need to be inventoried for air pollution removal, 870 plots for carbon storage, 483 plots for carbon sequestration, and 258 plots for number of trees, as opposed to the standard i-Tree Eco protocol of 200 plots. This study provides a first step in evaluating i-Tree Eco sampling protocol; however, efforts testing these results at sites throughout the southern United States are needed to provide the most accurate estimate of plot numbers necessary for predicting ecosystem services of urban forests.


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