Geospatial surveillance of urban green gold’s response to the built environment of Rawalpindi, Pakistan

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Research Paper 01/05/2021
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Geospatial surveillance of urban green gold’s response to the built environment of Rawalpindi, Pakistan

Amna Butt, Sheikh Saeed Ahmad
J. Bio. Env. Sci.18( 5), 1-7, May 2021.
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Abstract

Policymakers and city planners actively seek to direct urbanization to uphold the quality of life. Urban green gold plays a crucial role in this process as it impacts the wellbeing of local populations and the long-term sustainability of the cities in a multitude of ways. However, it is challenging to factor in the impact of the built environment on the benefits provided by green gold. The study assessed this impact by amalgamation of Redundancy Analysis and Remotely sensed biomass estimation. The outcomes highlighted that different developmental activities in all four zones of the city i.e. planned developments, rudimentary developments, roadside vegetation, and designated green spaces had significant negative connotations on not only the species diversity but also on its biomass health. The negative influence was most predominant in the rudimentary developments followed by planned developments and roadside vegetation. These outcomes provided the means to assess how different anthropogenic and biogeophysical variables might be responsible for shaping the landscape of today in terms of health and distribution of urban green gold, and consequently wellbeing of Rawalpindi’s population.

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hmad SS, Khan SM, Butt A. 2015. Exploring the Medicinal Plants Wealth: An Assessment of Traditional Medico-Botanical Knowledge of Local Communities in Changa Manga Forest, Pakistan. The Pharmaceutical and Chemical Journal 2(3), 24-32.

Ahmed KR, Akter S. 2017. Analysis of landcover change in southwest Bengal delta due to floods by NDVI, NDWI and K-means cluster with Landsat multi-spectral surface reflectance satellite data. Remote Sensing Applications: Society and Environment 8, 168-181.

Ashokkumar K, Selvaraj K, Muthukrishnan SD. 2013. Cynodon dactylon (L.) Pers.: An updated review of its phytochemistry and pharmacology. Journal of Medicinal Plants Research 7(48), 3477-3483.

Baldock KC, Goddard MA, Hicks DM, Kunin WE, Mitschunas N, Morse H, Staniczenko PP. 2019. A systems approach reveals urban pollinator hotspots and conservation opportunities. Nature Ecology & Evolution 3(3), 363-373.

Da Silva VS, Salami G, da Silva MIO, Silva, EA, Monteiro Junior JJ, Alba E. 2020. Methodological evaluation of vegetation indexes in land use and land cover (LULC) classification. Geology, Ecology and Landscapes, 4(2), 159-169.

Dalle G. 2020. Comparative Study of Species Diversity in different Land Use Units of the Borana Lowlands, Southern Oromia, Ethiopia. Journal of Rangeland Science 10(3), 328-340.

Dylewski Ł, Maćkowiak Ł, Banaszak-Cibicka W. 2020. Linking pollinators and city flora: How vegetation composition and environmental features shapes pollinators composition in urban environment. Urban Forestry & Urban Greening 56, 126795.

Kamal A. 2004. Pakistan: Lai Nullah Basin Flood Problem Islamabad Rawalpindi Cities. World Meteorological Organization/Global Water Partnership. Associated Programme on Flood Management 1.

Kent M, Coker P. 1995. Vegetation Description and Analysis: a practical approach. Belhaven Press, London 360-363.

Lepš J, Šmilauer P. 2003. Multivariate analysis of ecological data using CANOCO. Cambridge university press 25-45.

Nasir YJ, Rafiq RA. 1995. Wild Flowers of Pakistan. Oxford University Press, Karachi 298-299.

Shabbir R, Erum S, Khalid S. 2014. Soil and vegetation analysis of selected roadside green belts in Rawalpindi city, Pakistan. International Research Journal of Biological Sciences 3(3), 89-98.

Ter Braak CT, Smilauer P. 1998. CANOCO reference manual and user’s guide to Canoco for Windows: software for canonical community ordination (Version 4).