Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, P.O. Box 5003, 1432, Ås, Norway.
Department of Ecosystem and Conservation Sciences, University of Montana, Missoula, USA.
Sci Rep. 2023 Mar 20;13(1):4561. doi: 10.1038/s41598-023-31283-7.
Forests in Europe are exposed to increasingly frequent and severe disturbances. The resulting changes in the structure and composition of forests can have profound consequences for the wildlife inhabiting them. Moreover, wildlife populations in Europe are often subjected to differential management regimes as they regularly extend across multiple national and administrative borders. The red deer Cervus elaphus population in the Bohemian Forest Ecosystem, straddling the Czech-German border, has experienced forest disturbances, primarily caused by windfalls and bark beetle Ips typographus outbreaks during the past decades. To adapt local management strategies to the changing environmental conditions and to coordinate them across the international border, reliable estimates of red deer density and abundance are highly sought-after by policymakers, wildlife managers, and stakeholders. Covering a 1081-km study area, we conducted a transnational non-invasive DNA sampling study in 2018 that yielded 1578 genotyped DNA samples from 1120 individual red deer. Using spatial capture-recapture models, we estimated total and jurisdiction-specific abundance of red deer throughout the ecosystem and quantified the role of forest disturbance and differential management strategies in shaping spatial heterogeneity in red deer density. We hypothesised that (a) forest disturbances provide favourable habitat conditions (e.g., forage and cover), and (b) contrasting red deer management regimes in different jurisdictions create a differential risk landscape, ultimately shaping density distributions. Overall, we estimated that 2851 red deer (95% Credible Interval = 2609-3119) resided in the study area during the sampling period, with a relatively even overall sex ratio (1406 females, 95% CI = 1229-1612 and 1445 males, 95% CI = 1288-1626). The average red deer density was higher in Czechia (3.5 km, 95% CI = 1.2-12.3) compared to Germany (2 km, 95% CI = 0.2-11). The effect of forest disturbances on red deer density was context-dependent. Forest disturbances had a positive effect on red deer density at higher elevations and a negative effect at lower elevations, which could be explained by partial migration and its drivers in this population. Density of red deer was generally higher in management units where hunting is prohibited. In addition, we found that sex ratios differed between administrative units and were more balanced in the non-intervention zones. Our results show that the effect of forest disturbances on wild ungulates is modulated by additional factors, such as elevation and ungulate management practices. Overall density patterns and sex ratios suggested strong gradients in density between administrative units. With climate change increasing the severity and frequency of forest disturbances, population-level monitoring and management are becoming increasingly important, especially for wide-ranging species as both wildlife and global change transcend administrative boundaries.
欧洲的森林正面临越来越频繁和严重的干扰。森林结构和组成的变化会对栖息其中的野生动物产生深远的影响。此外,欧洲的野生动物种群经常受到不同管理模式的影响,因为它们经常跨越多个国家和行政边界。位于捷克-德国边境的波希米亚森林生态系统中的马鹿 Cervus elaphus 种群,在过去几十年中经历了森林干扰,主要是由风倒和树皮甲虫 Ips typographus 爆发造成的。为了使当地的管理策略适应不断变化的环境条件,并在国际边界上进行协调,政策制定者、野生动物管理者和利益相关者非常需要可靠的马鹿密度和数量估计。我们在 2018 年进行了一项跨国非侵入性 DNA 抽样研究,该研究覆盖了 1081 公里的研究区域,从 1120 只个体中获得了 1578 个基因分型的 DNA 样本。利用空间捕获-再捕获模型,我们估计了整个生态系统中马鹿的总数和特定司法管辖区的数量,并量化了森林干扰和不同管理策略在塑造马鹿密度空间异质性方面的作用。我们假设:(a)森林干扰为野生动物提供了有利的栖息地条件(例如,饲料和栖息地);(b)不同司法管辖区的不同马鹿管理模式创造了不同的风险景观,最终塑造了密度分布。总的来说,我们估计在采样期间,有 2851 只马鹿(95%置信区间=2609-3119)居住在研究区域内,性别比例相对均衡(1406 只雌性,95%置信区间=1229-1612 和 1445 只雄性,95%置信区间=1288-1626)。与德国(2 公里,95%置信区间=0.2-11)相比,捷克的马鹿平均密度更高(3.5 公里,95%置信区间=1.2-12.3)。森林干扰对马鹿密度的影响因环境而异。森林干扰对高海拔地区的马鹿密度有积极影响,对低海拔地区的马鹿密度有消极影响,这可以用该种群中的部分迁徙及其驱动因素来解释。在禁止狩猎的管理单位,马鹿的密度通常较高。此外,我们发现行政单位之间的性别比例存在差异,非干预区的性别比例更为均衡。我们的研究结果表明,森林干扰对野生有蹄类动物的影响受到其他因素的调节,如海拔和有蹄类动物管理实践。总体密度模式和性别比例表明,行政单位之间存在密度的强烈梯度。随着气候变化增加森林干扰的严重程度和频率,种群水平的监测和管理变得越来越重要,特别是对于广泛分布的物种,因为野生动物和全球变化都跨越了行政边界。