Density, diversity and richness of woody plants in urban green spaces: A case study in Chennai metropolitan city

Udayakumar, M.; Sekar, T.

doi:10.1016/j.ufug.2012.08.003

Cited by 40 publications

(17 citation statements)

References 53 publications

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“…Hameda and Ameur agree with Ng et al (2012) on the effective thermal performance of trees to decrease outdoor air temperature. Muthulingam and Thangavel (2012) affirmed the same results when they studied the traits, diversity, and densities of trees in Chennai, India.…”

Section: Urban Vegetationsupporting

confidence: 66%

“…It improves the economic, environmental, and socio-cultural conditions of metropolitan areas (Cevik et al, 2008). Green spaces play a vital role in urban renewal; in addition, they contribute to comfortable thermal urban zones (Muthulingam and Thangavel, 2012) and a healthier environment (Lovasi et al, 2013). Trees are more effective than grass at providing coolness (Ng et al, 2012).…”

Section: Urban Renewal Urban Vegetation and Sustainable Assessment Sysmentioning

confidence: 99%

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Toward the sustainable development of urban areas: An overview of global trends in trials and policies

2015

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Section: Urban Vegetationsupporting

confidence: 66%

Section: Urban Renewal Urban Vegetation and Sustainable Assessment Sysmentioning

confidence: 99%

Toward the sustainable development of urban areas: An overview of global trends in trials and policies

2015

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“…Legumes accounted for 28% of the tree species and 94% of the biomass carbon in the five plantations (Table 2). Legumes also dominate in other forests in South Asia, including an urban forest of Chennai, India (Muthulingam and Thangavel, 2012) and natural forests in Tamil Nadu, India (Gamble and Fischer, 1934).…”

Section: Discussionmentioning

confidence: 99%

High carbon stocks in roadside plantations under participatory management in Bangladesh

Rahman

Kabir

Akon³

et al. 2015

Global Ecology and Conservation

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a b s t r a c tPlantations are important REDD+strategies for increasing carbon sequestration while enhancing local livelihoods. Reforestation along roads and highways under participatory forest management in southwestern Bangladesh could contribute to REDD+. This study assessed the diversity and structure of roadside plantations in order to develop a basal area based generalized allometric model for estimating above-and below-ground tree biomass carbon in Southwestern Bangladesh. All woody plants with d.b.h. 2 cm were identified and their diameters measured in 108 systematically selected zigzag plots of equal size (2 × 10 m). A total of 36 species in 17 families were recorded. Leguminosae accounted for 28% of species and 94% of the total estimated biomass carbon. We estimated a mean stem density of 4528 ha −1 , basal area of 52.6 m 2 ha −1 and biomass carbon of 192.80 Mg ha −1 . Samanea saman, Dalbergia sissoo, Acacia nilotica, and Leucaena leucocephala accounted for most density, basal area, and carbon. We developed and validated three allometric models with equal strength (R 2 0.94-0.98) using generalized linear regression. Roadside plantations in Bangladesh can now surely participate in the UNFCCC's carbon mitigation and adaptation mechanism, but challenges to their long-term sustainability must be addressed.

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“…Detailed analysis of the selected articles showed that nine of the studies were conducted using only field measurements. These articles were also removed from the analysis (Cumming et al 2001, Brack 2006, Cumming et al 2008, Thaiutsa et al 2008, Sobczynski et al 2011, Muthulingam & Thangavel 2012, Clarke et al 2013, Zygmunt et al 2014, Strunk et al 2016. The final database included 86 scientific papers.…”

Section: Methodsmentioning

confidence: 99%

Accuracy of determining specific parameters of the urban forest using remote sensing

Ciesielski¹,

Stereńczak²

2019

iForest

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This paper reviews the current state of knowledge in the field of urban forest inventory and specific tree parameters derived by remote sensing. The paper discusses the possibilities and limitations of using remote sensing to determine the following characteristics of individual trees acquired during the inventory: position (coordinates), tree height, breast height diameter, tree crown parameters (crown span, height of tree crown basis, crown projection surface), health condition, and tree species. A total of 543 papers published in scientific databases (Scopus ® and ScienceDirect ® ) from the year 2000 to December 2017 have been analyzed; 86 of them were used for the review. The most important outcomes are: (a) the integration of many datasets, in particular spectral data (aerial images and satellite imageries) and structural data (LIDAR), allows the most complex use of remote sensing data and helps to improve the accuracy of parameter estimations as well as the correct identification of tree species; (b) the highest precision of measurement is characteristic of TLS, while ALS data has the largest operating system; (c) remote sensing data applications are associated with a large number of sophisticated processing on very large datasets using often proprietary elaborations; (d) the use of remote sensing data makes it possible to determine the characteristics of urban vegetation at various levels of detail and at different scales. Citation: Ciesielski M, Sterenczak K (2019). Accuracy of determining specific parameters of the urban forest using remote sensing. iForest 12:

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Density, diversity and richness of woody plants in urban green spaces: A case study in Chennai metropolitan city

Cited by 40 publications

References 53 publications

Toward the sustainable development of urban areas: An overview of global trends in trials and policies

Toward the sustainable development of urban areas: An overview of global trends in trials and policies

High carbon stocks in roadside plantations under participatory management in Bangladesh

Accuracy of determining specific parameters of the urban forest using remote sensing

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