Wind Farms and Raptors in India: What Mortality Surveys Found

Aishwarya Kapoor | Times Life Bureau | Oct 19, 2026, 10:20 IST
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Wind Farms and Raptors in India: What Mortality Surveys Found
Wind Farms and Raptors in India: What Mortality Surveys Found
Image credit : AI

Wind energy is expanding fast across India's open landscapes, but the turbines share those skies with eagles, vultures, and kites. Raptor mortality surveys in Kutch and Tamil Nadu have turned up findings that complicate the clean-energy story, and point to specific species, specific flyways, and specific times of year when the risk is highest.

Highlights
  • Raptor mortality surveys, conducted by trained observers in India, document collision fatalities among species like the Steppe Eagle, which is classified as Endangered on the International Union for Conservation of Nature Red List.
  • The high-density turbine areas in the Palghat Gap serve as crucial corridors for migrating raptors, heightening their risk of collision during peak migration periods from October to December and February to April.
  • Despite documented raptor fatalities, the regulatory framework for addressing avian collision risks in India's wind energy sector remains inadequate, lacking standardised national protocols for comprehensive monitoring and mitigation.

What the Surveys Actually Measured

Raptor mortality surveys do not rely on chance sightings. Trained observers walk transects beneath turbine arrays on a fixed schedule, recording carcasses, feathers, and strike evidence. In Kutch, surveys have documented collision mortality among species using the Rann's open scrubland and seasonal wetlands as foraging and passage habitat, including the Steppe Eagle, a long-distance migrant that funnels through Gujarat on its way between Central Asian breeding grounds and Indian wintering sites. In Tamil Nadu's wind-dense districts around Tirunelveli and the Palghat Gap, the species mix shifts: resident raptors such as the Black-shouldered Kite, Shikra, and various Buteo buzzards appear in collision records alongside migratory Amur Falcons and Montagu's Harriers during peak passage months.

The surveys face a recognised methodological challenge: scavenger removal. A carcass that arrives overnight may be gone by morning, which means raw counts understate true mortality. Researchers apply correction factors based on carcass persistence trials, placing sentinel carcasses and timing how quickly they disappear, to produce adjusted estimates. Even corrected figures are conservative.


Species Most at Risk and Why

Raptors are disproportionately vulnerable to turbine strike compared with most other bird groups, for reasons rooted in their foraging behaviour. A hunting eagle or harrier locks visual attention on prey below and does not scan for moving obstacles at rotor height. Soaring species exploit the same ridge thermals and wind corridors that make a site attractive for turbine placement, so the overlap between preferred raptor airspace and rotor-swept area is not coincidental, it is structural.


The Steppe Eagle carries particular conservation weight in this context. The species has undergone steep global population decline, classified as Endangered on the IUCN Red List, and the Indian subcontinent represents a critical wintering and passage zone. Surveys in Kutch place turbine arrays directly within documented Steppe Eagle movement corridors. The Griffon Vulture, which soars at turbine height while searching for carcasses across large home ranges, has also appeared in collision records from western India wind zones.


In Tamil Nadu, the Palghat Gap functions as a topographic funnel for migrating raptors moving between the Western and Eastern Ghats. Turbine density in this corridor is among the highest in peninsular India, and passage timing, broadly October through December and again February through April, concentrates collision risk into predictable windows.

What the Data Has Prompted

India's wind energy sector operates under the Ministry of New and Renewable Energy, and environmental clearance requirements have historically focused on forest land diversion rather than on avian collision risk specifically. The surveys conducted by organisations including the Bombay Natural History Society and independent wildlife researchers have pushed for pre-installation raptor use assessments and post-installation monitoring as standard conditions, rather than post-hoc studies commissioned after complaints.

One mitigation approach with evidence behind it is curtailment: shutting turbines down or reducing rotor speed during high-risk periods, peak migration windows, low-visibility mornings, or when survey observers detect raptor activity above a threshold. Curtailment carries a generation cost, which is why it has faced resistance, but studies from European wind zones show that targeted curtailment during a fraction of annual operating hours can reduce raptor mortality by a meaningful proportion without large losses to total output.

Camera-based detection systems that trigger automatic slowdown when a large bird enters the rotor zone are in use at some European and American installations, and their applicability to Indian species and wind regimes is being evaluated. The technology is not yet standard practice in India.

What Remains Incomplete

The honest position on Indian raptor mortality at wind farms is that the data is real but geographically patchy. Kutch and Tamil Nadu have received more survey attention than Rajasthan, Andhra Pradesh, or the northeastern states, where wind development is also active. Standardised national protocols do not yet exist, which makes aggregating findings across sites difficult. Individual surveys use different transect widths, search frequencies, and correction methodologies, limiting direct comparison.

What the existing surveys have established is enough to show the problem is not hypothetical. Collision mortality at Indian wind installations is documented, it falls disproportionately on species of conservation concern, and it is concentrated in corridors and seasons that are predictable in advance. The gap is not in evidence that a problem exists, it is in the regulatory infrastructure to act on that evidence consistently.