Many ecosystem models incorrectly treat urban areas as devoid of vegetation and biogenic carbon (C) fluxes. We sought to improve estimates of urban biomass and biogenic C fluxes using existing, nationally available data products. We characterized biogenic influence on urban C cycling throughout Massachusetts, USA using an ecosystem model that integrates improved representation of urban vegetation, growing conditions associated with urban heat island (UHI), and altered urban phenology. Boston's biomass density is 1/4 that of rural forests, however 87% of Massachusetts' urban landscape is vegetated. Model results suggest that, kilogram-for-kilogram, urban vegetation cycles C twice as fast as rural forests. Urban vegetation releases (R) and absorbs (GEE) the equivalent of 11 and 14%, respectively, of anthropogenic emissions in the most urban portions of the state. While urban vegetation in Massachusetts fully sequesters anthropogenic emissions from smaller cities in the region, Boston's UHI reduces annual C storage by >20% such that vegetation offsets only 2% of anthropogenic emissions. Asynchrony between temporal patterns of biogenic and anthropogenic C fluxes further constrains the emissions mitigation potential of urban vegetation. However, neglecting to account for biogenic C fluxes in cities can impair efforts to accurately monitor, report, verify, and reduce anthropogenic emissions.
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http://dx.doi.org/10.1016/j.scitotenv.2017.03.028 | DOI Listing |
J Environ Manage
December 2024
Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, China; Department of Ecological Sciences and Engineering, Chongqing University, Chongqing, 400045, China. Electronic address:
In wetlands, hydrological conditions drive plant community distribution, forming vegetation zones with plant species and material cycling. This mediates nitrogen migration and NO emissions within wetlands. Five vegetation zones in a large wetland were studied during flooding and drought periods.
View Article and Find Full Text PDFSci Bull (Beijing)
December 2024
State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China. Electronic address:
Understanding wetland change is critical to establishing and implementing international conservation and management conventions. With such knowledge, supporting sustainable development, making management decisions, improving policies, and conducting scientific research become possible. However, consistent information on changes in Chinese wetlands has been unavailable.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
October 2024
College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.
As one of the provinces with the largest number of national forest cities, all prefecture-level cities in Guangdong Province have joined the campaigns of building forest cities. Mastering the spatial and temporal variations of ecological environment quality (EEQ) in Guangdong Province is conducive to the benign interaction and coordinated development of urban construction and ecosystem. We used the water benefit-based ecological index (WBEI) to achieve rapid monitoring of EEQ in Guangdong Province, utilized the standard deviation ellipse and gravity center migration, Theil-Sen Median trend method and Mann-Kendall test to explore the spatial distribution disparities and trends, and analyzed the coupling coordination between EEQ and urbanization.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
October 2024
Changchun Urban Planning and Research Center/Changchun Institute of Urban Planning and Design, Changchun 130028, China.
Jilin Province is an important ecological security barrier in Northeast China as it is located at the junction of the Northeast forest belts and the northern sand prevention belts. In recent years, Jilin Province has actively carried out ecological protection and restoration projects, resulting in a continuous improvement trend for the overall ecological environment. However, the evolution patterns and mechanisms of habitat quality are largely unkown.
View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China.
The Qinling-Daba Mountain area, an essential ecological conservation zone in China, occupies a pivotal position in the pursuit of carbon neutrality. Using diverse data sources, including temperature, precipitation, solar radiation, and the Normalized Difference Vegetation Index, we refined the CASA model by replacing model indicators. This enhanced model simulated the net primary productivity of vegetation in the Qinling-Daba Mountain area from 2001 to 2022.
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