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Raptor exposure to collision risk in relation to weather and season at a wind farm in tropical Africa

熱帯アフリカの風力発電所における猛禽類の衝突リスク曝露と気象・季節の関係 (AI 翻訳)

D. Kimani, G. Ndiritu, Duncan M. Kimuyu, T. Downing, D. Wilson, Maureen N N Warui, Peter Kinyanjui, Bernhard Walter, L. Bennun

Ostrich📚 査読済 / ジャーナル2026-04-03#再生可能エネルギー対象セクター: power
DOI: 10.2989/00306525.2026.2645702
原典: https://doi.org/10.2989/00306525.2026.2645702

🤖 gxceed AI 要約

日本語

ケニアのキペト風力発電所で5年間の猛禽類観測を行い、衝突リスク高さでの滞在時間を気象・季節要因と関連づけて分析。ハゲワシや渡り鳥は上昇気流の物理的条件に影響され、猛禽類の行動パターンが風力発電開発のリスク評価に寄与する。

English

This study monitored raptor flights at a wind farm in Kenya for five years, analyzing time spent at collision risk height (30-180 m) in relation to weather and season. Vultures and migrants mostly flew above turbines, while resident raptors spent more time at risk height. Activity patterns were linked to soaring flight requirements, informing risk assessment for wind energy developments.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

本研究成果は、日本の風力発電所における猛禽類保護対策(例えば、イヌワシ・クマタカの衝突リスク評価)にも適用可能な観測手法と知見を提供する。特に、風力発電と生物多様性保全の両立が求められる日本において、計画段階からのリスク評価の重要性を示す。

In the global GX context

This study provides empirical data on how weather and season affect raptor collision risk at wind farms, which is globally relevant for responsible renewable energy deployment. The methodology can be adapted to assess collision risk in different regions, supporting the integration of biodiversity considerations into wind energy planning and permitting.

👥 読者別の含意

🔬研究者:Provides a long-term empirical dataset on raptor flight behavior relative to environmental variables, useful for collision risk models.

🏢実務担当者:Wind farm developers can use these findings to optimize turbine operation timing and siting to reduce raptor fatalities.

🏛政策担当者:Highlights the need for site-specific environmental impact assessments that consider seasonal and weather-dependent raptor activity for renewable energy projects.

📄 Abstract(原文)

Wind energy is vital for climate change mitigation, but poses risks to some bird species, particularly raptors. This study investigated raptor flight behaviour at the Kipeto Wind Farm in southern Kenya and exposure to potential collision risk related to time of day, season and weather. Observers monitored raptor flights from 09:00–18:00 daily for five years, beginning January 2020, and assigned flight time to height classes above, below or at collision risk height (CRH, 30–180 m). Raptors were categorised as falcons/kestrels, medium raptors, large raptors, vultures or Palaearctic migrants. Vultures accounted for 44% of all raptor sightings, with passage rates of 0.3–0.6 birds per hour, 86% of flights entirely above CRH and only 3% of flight time at CRH overall. Migrants also mainly flew above turbines (5.1% of time at CRH), with resident species spending more flight time at CRH (11.0%, 18.6% and 22.8% for large raptors, medium raptors, and falcons/kestrels respectively). Vulture time at CRH was least during the cool, dry mid-year months and peaked around the short rains in November–December. Other than migrants, other raptor categories did not show strong seasonal patterns in activity. Except for falcons/kestrels, time at CRH was highest before 11:00 for all categories. Controlling for confounding factors, vulture and migrant passage rates at CRH were elevated at lower barometric pressures, owing to greater overall activity. Resident raptors (falcons, medium and large raptors) made more flights at CRH in dry and sunny weather, or (for large raptors) when wind speed was low. For vultures, large raptors and migrants, activity patterns appear related to physical requirements for soaring flight. Species’ actual collision risk at a site will depend on many factors, not only on time spent at collision risk height. A better understanding of raptor flight activity in relation to environmental factors nevertheless helps inform risk assessment and mitigation for wind energy developments.

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