Current Affairs

Uttar Pradesh targets 35 crore saplings in green mission

Source:indianmasterminds ↗

Why It Matters

Important for UPPSC aspirants tracking state-level environmental initiatives, green cover expansion targets, and sustainable development policies in Uttar Pradesh.

Summary

The article highlights the ambitious afforestation campaign launched by the Uttar Pradesh government under Chief Minister Yogi Adityanath to plant 35 crore saplings, boosting the state's green cover and ecological health through community and administrative participation.

Key Points

  • The Uttar Pradesh government led by Chief Minister Yogi Adityanath undertook a massive green mission targeting the plantation of 35 crore saplings across the state.
  • The initiative aims to enhance the green cover, combat climate change, and promote ecological balance in Uttar Pradesh.
  • Massive public participation, involvement of various government departments, and geotagging of saplings are integrated into the campaign to ensure high survival rates.

Important Terms

Maha Vriksharopan

A massive statewide afforestation campaign launched by the Uttar Pradesh government under CM Yogi Adityanath, targeting 35 crore saplings to enhance green cover and ecological health.

UPSC context

Crucial for UPPSC Prelims/Mains (Environment & Ecology, State Schemes). Tests knowledge of government-led mass afforestation targets and ecological initiatives.

Source
Ek Pedh Maa Ke Naam Campaign

A nationwide tree-planting theme adopted in UP's mega plantation drive, encouraging citizens to plant a sapling in tribute to their mothers to foster emotional connection and environmental conservation.

UPSC context

Important for UPPSC General Studies (Current Affairs, Social Forestry). Tests awareness of community-driven environmental campaigns linking social values with ecology.

Source
Forest Department Uttar Pradesh

The nodal state government agency responsible for planning, executing, and monitoring large-scale afforestation drives, wildlife protection, and ecological restoration across Uttar Pradesh.

UPSC context

Relevant for UPPSC Mains (Environment, Governance). Tests understanding of institutional frameworks managing state forest resources and conservation targets.

Source

Prelims Trap

targeting the plantation of 35 crore saplings in a single day versus cumulative annual drives

Aspirants often confuse the total cumulative tree plantation target across multiple years with single-day mega-drives or target figures like the 15% green cover goal by 2028-29.

Static Concepts Connected

Environment and Ecology Uttar Pradesh Geography

What are the major legal frameworks and institutional bodies governing forests and afforestation in India and Uttar Pradesh?

  • Indian Forest Act 1927: Enacted to consolidate the laws relating to forests, transit of forest-produce and the duty leviable on timber and other forest-produce.
  • Forest Conservation Act: Enacted to ensure conservation of forests and non-forest use of forest land requires prior approval of the Central Government.
  • CAMPA Act 2016: Mandates constitution of State Compensatory Afforestation Fund Management and Planning Authority (CAMPA) for afforestation funds.

Cross-Topic Patterns

  • Afforestation targets vs district performance metrics

    UPPSC frequently tests the intersection of state-level forestry targets and national campaigns like 'Ek Ped Maa Ke Naam' with specific district achievements like Sonbhadra.

  • Geotagging in environmental administration

    Integrating remote sensing, geotagging, and departmental coordination connects environmental governance with e-governance initiatives in UP.

UPPSC expects precise figures on UP's afforestation targets (e.g., 35 crore saplings, 15% green cover by 2028-29) and top districts like Sonbhadra.

Linked PYQs · 1

Linked PYQs · 1

  • 2025UPPSC_PRELIMSGS1

    As per the India State of Forest Report 2023, which of the following districts in Uttar Pradesh had forest over more than 20% of their total area? 1. Bahraich 2. Chandaili 3. Shravasti Select the correct answer from the code given below: