Strategizing for Biodiversity: Progress and Challenges

India’s Seventh National Report to the Convention on Biological Diversity (CBD) is a critical assessment of the country’s progress toward achieving biodiversity conservation targets, particularly in alignment with the Kunming-Montreal Global Biodiversity Framework (2022). It marks the first comprehensive review of India’s efforts since the adoption of this global framework, which aims to halt and reverse biodiversity loss by 2030. The report highlights institutional advancements such as the updated National Biodiversity Strategy and Action Plan (NBSAP) 2024–30, which includes 23 national biodiversity targets (NBTs) supported by 142 indicators.

The report is significant because it reflects a shift toward data-driven and systematised environmental governance. Initiatives like ISRO-led remote sensing and GIS-based platforms such as PARIVESH demonstrate how technology is being leveraged for monitoring ecosystems like forests, wetlands, and coastal regions. This enhances transparency, accountability, and evidence-based policymaking.

However, the report also underscores gaps between policy and outcomes. While institutional frameworks are robust, actual ecological improvements remain uneven. Thus, the report serves both as a progress document and a diagnostic tool, helping policymakers identify areas requiring urgent intervention in the run-up to 2030.

The integration of technology and data systems is essential for addressing the complexity and scale of biodiversity conservation in a country like India. Ecosystems are dynamic and geographically diverse, requiring continuous monitoring across large spatial and temporal scales. Technologies such as remote sensing, GIS, and satellite imagery—as used by ISRO—enable real-time tracking of changes in forests, wetlands, and coastal ecosystems, thereby improving decision-making.

Platforms like PARIVESH 2.0 further enhance governance by providing a single-window system for environmental clearances and compliance tracking. This reduces bureaucratic delays and ensures that development projects are evaluated against ecological criteria. Data-driven tools also support initiatives like land degradation vulnerability assessments, which integrate socioeconomic and environmental data to identify high-risk areas.

However, the effectiveness of these systems depends on data quality, standardisation, and integration. Fragmented data collection and inconsistent indicators can undermine their utility. Therefore, while technology offers powerful tools, it must be complemented by institutional capacity and robust data governance frameworks to achieve meaningful conservation outcomes.

Initiatives like PARIVESH (Pro-Active and Responsive facilitation by Interactive, Virtuous, and Environmental Single Window Hub) and ISRO’s remote sensing programmes play a transformative role in enhancing environmental governance. PARIVESH integrates multiple clearances—forest, wildlife, environmental, and coastal—into a GIS-based single-window platform, enabling faster and more transparent decision-making. It also tracks compliance, ensuring that approved projects adhere to environmental norms.

ISRO’s remote sensing capabilities under the National Natural Resources Management System allow for large-scale monitoring of ecosystems. For example, mapping of desertification and land degradation provides critical inputs for restoration planning. These tools support evidence-based policymaking and help identify areas requiring intervention.

Together, these initiatives promote efficiency, transparency, and accountability. They reduce manual errors, improve coordination among agencies, and enable proactive governance. However, their success depends on effective implementation, regular updates, and integration with local-level decision-making processes.

The gap between ecosystem restoration and ongoing degradation in India arises from multiple structural and external factors. While India has made progress in restoring around 24.1 million hectares of land, nearly 30% of its geographical area remains degraded. This indicates that restoration efforts are often offset by continued pressures such as deforestation, urbanisation, and infrastructure expansion.

Another key reason is the limited coverage of protected areas, which account for just over 5% of India’s land. Much of the biodiversity loss occurs outside these protected zones, where regulatory oversight is weaker. Agricultural practices, including excessive pesticide use and nutrient runoff, further exacerbate ecosystem degradation.

Additionally, climate change acts as a multiplier of existing stresses, affecting ecosystems through extreme weather events and shifting climatic patterns. Combined with data gaps and fragmented monitoring systems, these factors make it difficult to accurately assess and address the problem. A holistic approach integrating conservation, sustainable development, and climate resilience is needed to bridge this gap.

India’s biodiversity conservation strategy demonstrates significant progress in terms of institutional frameworks and technological integration. The updated NBSAP (2024–30) aligns with global targets and incorporates a comprehensive monitoring system with 142 indicators. Initiatives like PARIVESH and ISRO’s remote sensing programmes reflect a shift toward modern, data-driven governance.

However, the effectiveness of these strategies is limited by several challenges. The persistence of land degradation, limited protected area coverage, and insufficient data on lesser-known species highlight gaps in implementation. Moreover, the focus on flagship species like tigers and rhinos may overshadow broader ecosystem health and biodiversity concerns.

Another critical issue is the lack of integration between conservation and other sectors such as agriculture, urban planning, and infrastructure development. Without mainstreaming biodiversity considerations into these areas, conservation efforts may remain fragmented. Therefore, while India’s strategy is मजबूत in design, its success will depend on effective implementation, cross-sectoral integration, and continuous monitoring.

A notable example of data-driven approaches in ecosystem restoration is the land degradation vulnerability assessment conducted across 30 districts in India. This initiative integrates multiple datasets, including socioeconomic, climatic, and soil parameters, to identify areas at high risk of degradation. Such targeted assessments enable policymakers to prioritize interventions and allocate resources more efficiently.

Similarly, ISRO’s Space Applications Centre has mapped desertification and land degradation over different time periods, providing valuable insights into trends and patterns. This information is used to design restoration programmes and monitor their progress over time.

These examples highlight the importance of evidence-based decision-making in environmental management. By leveraging technology and data analytics, India can move from reactive to proactive conservation strategies. However, ensuring data accuracy and integrating local knowledge remain critical for the success of such initiatives.

Addressing biodiversity loss outside protected areas requires a shift from traditional conservation models to a more landscape-level approach. As a policymaker, I would focus on integrating biodiversity considerations into sectors such as agriculture, urban planning, and infrastructure development. For instance, promoting sustainable agricultural practices like organic farming and reducing pesticide use can help protect biodiversity in agro-ecosystems.

Secondly, strengthening regulatory frameworks and enforcement mechanisms is essential. This includes expanding the scope of environmental impact assessments and ensuring compliance through platforms like PARIVESH. Incentive-based mechanisms, such as payments for ecosystem services, can also encourage private landowners to adopt conservation practices.

Finally, community participation and awareness are crucial. Engaging local communities in conservation efforts and leveraging traditional knowledge can enhance the effectiveness of policies. By adopting a holistic and inclusive approach, India can address biodiversity loss beyond protected areas and achieve its 2030 targets.