Delhi Development Authority’s Big Tree Planting Event Led by LG VK Saxena and Vice Chairman Subhashish Panda
The Delhi Development Authority (DDA) organized a large-scale tree plantation drive under the ‘Ek Ped Maa Ke Naam’ campaign, directed by LG VK Saxena and supervised by Vice Chairman Subhashish Panda. The drive took place at various locations in Delhi, including Dwarka, Jahanpanah City Forest, Kalindi Aviral Extension, and more.
In a concerted effort to enhance environmental sustainability, the DDA conducted the plantation drive at Dwarka in DDA’s Sector 19B housing development. A similar drive was also organized at DDA’s Jahanpanah City Forest with the help of school students recently. Another tree plantation drive was held at Kalindi Aviral Extension, marking a major step towards restoring the Yamuna Floodplains and District Park Sheesh Mahal Shalimar Bagh. Additionally, a plantation drive was organized in Park No. 2 at Sector-6, Dwarka, and a program was conducted at the Green Belt near Shahpur village, Narela.
DDA maintains approximately 733 parks, including 7 biodiversity parks, the Yamuna Floodplains, and roadside greens, playing a crucial role in keeping the national capital green. Every year during the monsoon season, the DDA organizes a plantation drive and plants native trees and shrubs on a large scale to preserve and expand the city’s green areas.
For the financial year 2024-25, the DDA has set a plantation target of 11 lakh plants, including about 94,000 trees and 10 lakh shrubs. DDA has already achieved nearly 55 percent of this target, having planted approximately 605,109 trees and shrubs so far. About 21,552 acres of Delhi are under green cover, out of which 10,490 acres belong to DDA. In 2023-24, DDA planted more than 8.8 lakh trees and shrubs. During FY 2024-25, till now, 50,000 trees and 5,50,000 shrubs have already been planted at various locations across the city. The authority is also taking all possible steps to ensure that the saplings being planted are nurtured sufficiently to achieve optimal survival.
