Inadvertent bird nest destruction by autonomous mowing machines poses significant threats to the breeding success of meadow birds. Drone-based detection methods represent the current state-of-the-art for bird nest localization to attain mower circumvention. However, they only identify 80% of bird nests with average localization error of 3.344 meters and are restricted to specific application times. This paper introduces alternative, fully automated nest localization systems integrated with autonomous mowers. Two strategies are proposed, 1) Directly detecting bird nests using thermal data, or 2) Indirectly, by tracking birds and extrapolating their trajectories back to their nests using RGBD data. These methods were validated with warmed chicken eggs hidden in grasslands and with drones simulating bird flight. YOLOv8 models were modified for both approaches. The thermal localization method is able to detect all bird nests with an average confidence of 73.4%. It allows for real-time localization and yields one unnecessary nest circumvention for every ten bird nests saved due to false positives. This method is shown to be effective in all breeding season temperatures, both day and night. Conversely, the trajectory extrapolation method detects birds with an average confidence of 82.2% and has localization error of 0.794 meters. Birds taking flight prematurely or from locations other than nests impact the number of bird nests saved and the number of unnecessary circumventions. It is demonstrated that this method fails to detect birds during nighttime. In conclusion, an automated thermal-based localization system integrated with autonomous mowers outperforms both RGBD- and current state-of-the-art drone-based methods. This study highlights therefore the potential of thermal-based solutions for bird nest protection in grasslands.

The genus Thioalkalivibrio includes haloalkaliphilic chemolithoautotrophic sulfur-oxidizing bacteria isolated from various soda lakes worldwide. Some of these lakes possess in addition to their extreme haloalkaline environment also other harsh conditions, to which Thioalkalivibrio needs to adapt. An example is arsenic in soda lakes in eastern California, which is found there in concentrations up to 3000 μM. Arsenic is a widespread element that can be an environmental issue, as it is highly toxic to most organisms. However, resistance mechanisms in the form of detoxification are widespread and some prokaryotes can even use arsenic as an energy source. We first screened the genomes of 76 Thioalkalivibrio strains for the presence of known arsenic oxidoreductases and found 15 putative ArxA (arsenite oxidase) and two putative ArrA (arsenate reductase). Subsequently, we studied the resistance to arsenite in detail in Thioalkalivibrio jannaschii ALM2T, and Thioalkalivibrio thiocyanoxidans ARh2T by comparative genomics and by growing them at different arsenite concentrations followed by arsenic species and transcriptomic analysis. Tv. jannaschii ALM2T, which has been isolated from Mono Lake, an arsenic-rich soda lake, could resist up to 5 mM arsenite, whereas Tv. thiocyanoxidans ARh2T, which was isolated from a Kenyan soda lake, could only grow up to 0.1 mM arsenite. Interestingly, both species oxidized arsenite to arsenate under aerobic conditions, although Tv. thiocyanoxidans ARh2T does not contain any known arsenite oxidases, and in Tv. jannaschii ALM2T, only arxB2 was clearly upregulated. However, we found the expression of a SoeABC-like gene, which we assume might have been involved in arsenite oxidation. Other arsenite stress responses for both strains were the upregulation of the vitamin B12 synthesis pathway, which can be linked to antioxidant activity, and the up- and downregulation of different DsrE/F-like genes whose roles are still unclear. Moreover, Tv. jannaschii ALM2T induced the ars gene operon and the Pst system, and Tv. thiocanoxidans ARh2T upregulated the sox and apr genes as well as different heat shock proteins. Our findings for Thioalkalivibrio confirm previously observed adaptations to arsenic, but also provide new insights into the arsenic stress response and the connection between the arsenic and the sulfur cycle.@en