Grissot Antoine, Borrel Clara, Devogel Marion, Altmeyer Lauraleen, Johansen Malin Kjellstadli, Strøm Hallvard, Wojczulanis-Jakubas Katarzyna
Department of Vertebrate Ecology and Zoology University of Gdańsk Gdańsk Poland.
Université de Rennes 1 Rennes Cedex France.
Ecol Evol. 2023 Mar 15;13(3):e9846. doi: 10.1002/ece3.9846. eCollection 2023 Mar.
Investigating ecology of marine animals imposes a continuous challenge due to their temporal and/or spatial unavailability. Light-based geolocators (GLS) are animal-borne devices that provide relatively cheap and efficient method to track seabird movement and are commonly used to study migration. Here, we explore the potential of GLS data to establish individual behavior during the breeding period in a rock crevice-nesting seabird, the Little Auk, . By deploying GLS on 12 breeding pairs, we developed a methodological workflow to extract birds' behavior from GLS data (nest attendance, colony attendance, and foraging activity), and validated its accuracy using behavior extracted from a well-established method based on video recordings. We also compared breeding outcome, as well as behavioral patterns of logged individuals with a control group treated similarly in all aspects except for the deployment of a logger, to assess short-term logger effects on fitness and behavior. We found a high accuracy of GLS-established behavioral patterns, especially during the incubation and early chick rearing period (when birds spend relatively long time in the nest). We observed no apparent effect of logger deployment on breeding outcome of logged pairs, but recorded some behavioral changes in logged individuals (longer incubation bouts and shorter foraging trips). Our study provides a useful framework for establishing behavioral patterns (nest attendance and foraging) of a crevice-nesting seabird from GLS data (light and conductivity), especially during incubation and early chick rearing period. Given that GLS deployment does not seem to affect the breeding outcome of logged individuals but does affect fine-scale behavior, our framework is likely to be applicable to a variety of crevice/burrow nesting seabirds, even though precautions should be taken to reduce deployment effect. Finally, because each species may have its own behavioral and ecological specificity, we recommend performing a pilot study before implementing the method in a new study system.
由于海洋动物在时间和/或空间上难以获取,对其生态进行研究一直是一项持续的挑战。基于光的地理定位器(GLS)是一种安装在动物身上的设备,它提供了一种相对廉价且高效的方法来追踪海鸟的活动,常用于研究迁徙。在此,我们探索利用GLS数据来确定在岩石缝隙中筑巢的海鸟——小海雀繁殖期的个体行为。通过在12对繁殖对中部署GLS,我们开发了一种方法流程,从GLS数据中提取鸟类的行为(巢期出勤、群落出勤和觅食活动),并使用基于视频记录的成熟方法提取的行为来验证其准确性。我们还比较了繁殖结果,以及佩戴记录器个体与除未部署记录器外其他方面均相同处理的对照组的行为模式,以评估记录器对健康和行为的短期影响。我们发现基于GLS确定的行为模式具有很高的准确性,尤其是在孵化期和雏鸟早期饲养阶段(此时鸟类在巢中停留的时间相对较长)。我们观察到部署记录器对佩戴记录器的配对的繁殖结果没有明显影响,但记录到佩戴记录器个体有一些行为变化(孵化周期延长,觅食行程缩短)。我们的研究为从GLS数据(光和电导率)建立缝隙筑巢海鸟的行为模式(巢期出勤和觅食)提供了一个有用的框架,特别是在孵化期和雏鸟早期饲养阶段。鉴于部署GLS似乎不会影响佩戴记录器个体的繁殖结果,但会影响精细尺度的行为,我们的框架可能适用于各种缝隙/洞穴筑巢的海鸟,尽管应采取预防措施以减少部署的影响。最后,由于每个物种可能都有其自身的行为和生态特异性,我们建议在新的研究系统中实施该方法之前进行试点研究。