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| DOI: | 10.1016/j.ufug.2022.127583 |
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| Web URL(s): | https://www.sciencedirect.com/science/article/pii/S1618866722001261
Last checked: 07/27/2022
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https://www.sciencedirect.com/science/article/pii/S1618866722001261/pdfft?md5=fd5d06bd47c26be010bebef70951963b&pid=1-s2.0-S1618866722001261-main.pdf
Last checked: 07/27/2022
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| Publication Type:
| Refereed |
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| Author(s): | Escobar-Silva, Elton Vicente;
Bourscheidt, Vandoir;
Daughtry, Craig S. T.;
Kiniry, Jim R.;
Backes, André R.;
Chaves, Michel E. D. |
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| Author Affiliation: | Escobar-Silva: Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE), São José dos Campos, SP, Brazil and Department of Environmental Science - DCAm, Federal University of São Carlos, São Carlos, SP, Brazil; Bourscheidt: Department of Environmental Science - DCAm, Federal University of São Carlos, São Carlos, SP, Brazil; Daughtry: Beltsville Agricultural Research Center, USDA Agricultural Research Service, Beltsville, MD; Kiniry: Grassland Soil and Water Research Laboratory, USDA Agricultural Research Service, Temple, TX; Backes: School of Computer Science - Facom, Federal University of Uberlandia, Uberlandia, MG, Brazil; Chaves: Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE), São José dos Campos, SP, Brazil |
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| Title: | A general grass growth model for urban green spaces management in tropical regions: A case study with bahiagrass in southeastern Brazil |
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| Source: | Urban Forestry & Urban Greening. Vol. 73, July 2022, p. 1-12. |
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| Publishing Information: | Jena, Germany: Urban & Fischer |
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| # of Pages: | 12 |
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| Keywords: | Author-Supplied Keywords: Urban vegetation management; Urban planning; Public open spaces; Vegetation growth modeling; Bahiagrass
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| Abstract/Contents: | "Urban green spaces (UGS) positively impact the population, providing essential ecosystem services and improving public health. Urban vegetation management needs to optimize mowing process costs and reducing impacts on the natural ecosystem. Thus, we implemented a general grass growth model suitable for UGS management in tropical areas, focused on lawns, public parks and squares, roadsides, and around waterways. The model incorporates local edaphoclimatic conditions to simulates the daily dynamics of leaf area index (LAI), biomass, evapotranspiration, and soil water content, going under mowing processes or not, with spatialization capability which might be integrated within geographic information system (GIS) environments. A case study assessing bahiagrass (Paspalum notatum Flüggé) vegetation species in São Carlos, southeastern Brazil, is presented, considering two scenarios to demonstrate the spatial capabilities of the model: (i) UGS as a single area, and (ii) several areas independently. For model validation, vegetation indices calculated based on data from an unmanned aerial vehicle (UAV) and CubeSat imagery (PlanetScope) were used to retrieve LAI time series, calibrated with spectral signatures from leaf ground sampling. For performance analysis, LAI time series from the model and LAI retrieved from both sensors were compared via determination coefficient (R2) and root mean square error (RMSE). Our findings suggest that the proposed model is accurate, and due to its spatialization capability and integration with a GIS, its application may help government administrations to optimize UGS mowing processes." |
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| Language: | English |
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| References: | 66 |
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| Note: | "Article 127583"
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Escobar-Silva, E. V., V. Bourscheidt, C. S. T. Daughtry, J. R. Kiniry, A. R. Backes, and M. E. D. Chaves. 2022. A general grass growth model for urban green spaces management in tropical regions: A case study with bahiagrass in southeastern Brazil. Urban Forestry & Urban Greening. 73:p. 1-12. |
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| DOI: 10.1016/j.ufug.2022.127583 |
| Web URL(s):
https://www.sciencedirect.com/science/article/pii/S1618866722001261
Last checked: 07/27/2022
Requires: HTML5
Access conditions: Item is within a limited-access website
https://www.sciencedirect.com/science/article/pii/S1618866722001261/pdfft?md5=fd5d06bd47c26be010bebef70951963b&pid=1-s2.0-S1618866722001261-main.pdf
Last checked: 07/27/2022
Requires: PDF Reader; HTML5
Access conditions: Item is within a limited-access website |
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