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偶然发现的鹰尸可有助于估算运行中风力发电设施的致死量。

Incidental eagle carcass detection can contribute to fatality estimation at operating wind energy facilities.

机构信息

Western EcoSystems Technology, Inc., Cheyenne, Wyoming, United States of America.

出版信息

PLoS One. 2023 Nov 22;18(11):e0277150. doi: 10.1371/journal.pone.0277150. eCollection 2023.

Abstract

Risk of birds colliding with wind turbines, especially protected species like bald eagle and golden eagle in the U.S., is a fundamental wildlife challenge the wind industry faces when developing and operating projects. The U.S. Fish and Wildlife Service requires wind energy facilities that obtain eagle take permits document permit compliance through fatality monitoring. If trained Operations and Maintenance (O&M) staff can reliably detect and report carcasses during their normal routines, and their detection probability can be estimated, then their 'incidental detections' could contribute substantially towards demonstrating permit compliance. Our primary objective was to quantify incidental detection of eagle carcasses by O&M staff under a variety of landscape contexts and environmental conditions throughout a single year. We used the incidental detection probabilities, along with raptor carcass persistence data and area adjustments, to calculate overall probability of incidental detection (i.e., incidental g). We used feathered decoys as eagle-carcass surrogates for monthly detection trials at 6 study sites throughout the U.S. We evaluated the primary drivers of incidental detection using logit regression models including season, viewshed complexity, and a derived variable called the "density quartile" as covariates. We used an Evidence of Absence-based approach to estimate the overall probability of incidental detection. The incidental detection probabilities ranged from 0.28 to 0.78 (mean = 0.48). Detection probabilities decreased as viewshed complexity increased and as distance from the turbine increased. The resulting overall probability of incidental detection ranged from 0.07 to 0.47 (mean = 0.31). The primary drivers of variability in incidental g were detection probability and the area adjustment. Results of our research show that O&M staff were effective at detecting trial carcasses incidentally. Incorporating incidental detection in eagle fatality monitoring efforts is a reliable means of improving estimates of a facility's direct impacts on eagles.

摘要

鸟类与风力涡轮机碰撞的风险,尤其是在美国的秃鹰和金鹰等受保护物种,是风力行业在开发和运营项目时面临的一个基本的野生动物挑战。美国鱼类和野生动物管理局要求获得鹰类捕杀许可证的风力能源设施通过死亡监测来证明许可证合规。如果经过培训的运维(O&M)人员能够在正常工作中可靠地发现和报告尸体,并能够估计其检测概率,那么他们的“偶然发现”可以大大有助于证明许可证合规。我们的主要目标是在一年内的各种景观背景和环境条件下,量化 O&M 人员对金鹰尸体的偶然发现。我们使用偶然发现的概率,以及猛禽尸体的持续时间数据和区域调整,来计算偶然发现的总体概率(即偶然 g)。我们在美国的 6 个研究地点使用羽毛诱饵作为金鹰尸体的替代品进行每月的检测试验。我们使用对数回归模型评估了偶然发现的主要驱动因素,包括季节、视域复杂性和一个称为“密度四分位数”的派生变量作为协变量。我们使用基于证据缺失的方法来估计偶然发现的总体概率。偶然发现的概率范围从 0.28 到 0.78(平均值为 0.48)。随着视域复杂性的增加和与涡轮机距离的增加,检测概率降低。偶然发现的总体概率范围从 0.07 到 0.47(平均值为 0.31)。偶然 g 变异性的主要驱动因素是检测概率和区域调整。我们的研究结果表明,O&M 人员能够有效地偶然发现试验尸体。在金鹰死亡监测工作中纳入偶然发现是提高设施对鹰类直接影响估计的可靠方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3654/10664926/4dc5fad054c9/pone.0277150.g001.jpg

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