Hinneberg Heiko, Döring Jörg, Hermann Gabriel, Markl Gregor, Theobald Jennifer, Aust Ines, Bamann Thomas, Bertscheit Ralf, Budach Daniela, Niedermayer Jana, Rissi Alicia, Gottschalk Thomas K
University of Applied Forest Sciences Rottenburg Rottenburg am Neckar Germany.
Private Laupheim Germany.
Ecol Evol. 2022 Jul 31;12(8):e9140. doi: 10.1002/ece3.9140. eCollection 2022 Aug.
For many elusive insect species, which are difficult to cover by standard monitoring schemes, innovative survey methods are needed to gain robust data on abundance and population trends. We suggest a monitoring of overwintering larvae for the endangered nymphalid butterfly . We tested different removal and capture-mark-recapture (CMR) approaches in a field study in the "Alb-Donau" region, Germany. Classical removal and CMR studies require movement of the organisms under study, but in our approach, we replaced movement of the study organisms by random movement of multiple different surveyors. We tested the validity of the approach by comparing detection frequencies from our field data with simulated detections. Our results indicate that multi-surveyor removal/CMR techniques are suitable for estimating abundance of overwintering larvae. Depending on surveyor experience, the average detection probability ranged between 16% for novices and 35% for experts. The uncertainty of population estimates increased with a decrease in personnel expenditure. Estimated larval densities on a spruce clear-cut varied between one and three individuals per 100 m, probably related to habitat conditions. We suggest a CMR approach with three to four trained surveyors for the monitoring of populations in the overwintering stage. Compared with previous sampling methods, our approach is a powerful tool with clear advantages: long survey period, estimates of the absolute population size accompanied by uncertainty measures, and estimates of overwinter mortality. The proposed method can be adapted and used for several different butterfly species, other insect taxa with specific immobile life stages, and some sessile organisms, for example, elusive plants, fungi, or corals.
对于许多难以通过标准监测方案覆盖的 elusive 昆虫物种,需要创新的调查方法来获取关于其丰度和种群趋势的可靠数据。我们建议对濒危蛱蝶的越冬幼虫进行监测。我们在德国“阿尔布 - 多瑙河”地区的一项实地研究中测试了不同的去除法和标记重捕法(CMR)。经典的去除法和CMR研究需要研究对象的移动,但在我们的方法中,我们通过多个不同调查员的随机移动来替代研究对象的移动。我们通过将实地数据的检测频率与模拟检测结果进行比较来测试该方法的有效性。我们的结果表明,多调查员去除法/CMR技术适用于估计越冬幼虫的丰度。根据调查员的经验,平均检测概率在新手的16%到专家的35%之间。种群估计的不确定性随着人员支出的减少而增加。云杉皆伐地上估计的幼虫密度在每100平方米1至3只个体之间变化,这可能与栖息地条件有关。我们建议采用由三到四名训练有素的调查员进行CMR的方法来监测越冬阶段的种群。与以前的采样方法相比,我们的方法是一种具有明显优势的强大工具:调查期长、能估计绝对种群数量并伴有不确定性测量,以及能估计越冬死亡率。所提出的方法可以进行调整并用于几种不同的蝴蝶物种、具有特定不移动生活阶段的其他昆虫类群以及一些固着生物,例如难以捉摸的植物、真菌或珊瑚。