Keye Constanze, Schmidt Marcus, Roschak Christian, Dorow Wolfgang H O, Hartung Viktor, Pauls Steffen U, Schneider Alexander, Ammer Christian, Zeller Laura, Meyer Peter
Department for Forest Nature Conservation, Northwest German Forest Research Institute, Prof.-Oelkers-Str. 6, 34346, Hann. Münden, Germany.
New Zealand Forest Research Institute Ltd (Scion), Te Papa Tipu Innovation Park Tītokorangi Drive, 3020, Rotorua, New Zealand.
Environ Monit Assess. 2024 Apr 24;196(5):470. doi: 10.1007/s10661-024-12592-4.
Recent studies suggest that arthropod diversity in German forests is declining. Currently, different national programs are being developed to monitor arthropod trends and to unravel the effects of forest management on biodiversity in forests. To establish effective long-term monitoring programs, a set of drivers of arthropod diversity and composition as well as suitable species groups have to be identified. To aid in answering these questions, we investigated arthropod data collected in four Hessian forest reserves (FR) in the 1990s. To fully utilize this data set, we combined it with results from a retrospective structural sampling design applied at the original trap locations in central European beech (Fagus sylvatica) forests. As expected, the importance of the different forest structural, vegetation, and site attributes differed largely between the investigated arthropod groups: beetles, spiders, Aculeata, and true bugs. Measures related to light availability and temperature such as canopy cover or potential radiation were important to all groups affecting either richness, composition, or both. Spiders and true bugs were affected by the broadest range of explanatory variables, which makes them a good choice for monitoring general trends. For targeted monitoring focused on forestry-related effects on biodiversity, rove and ground beetles seem more suitable. Both groups were driven by a narrower, more management-related set of variables. Most importantly, our study approach shows that it is possible to utilize older biodiversity survey data. Although, in our case, there are strong restrictions due to the long time between species and structural attribute sampling.
最近的研究表明,德国森林中节肢动物的多样性正在下降。目前,正在制定不同的国家计划来监测节肢动物的趋势,并揭示森林管理对森林生物多样性的影响。为了建立有效的长期监测计划,必须确定一系列节肢动物多样性和组成的驱动因素以及合适的物种组。为了帮助回答这些问题,我们调查了20世纪90年代在黑森州四个森林保护区(FR)收集的节肢动物数据。为了充分利用这个数据集,我们将其与在中欧山毛榉(Fagus sylvatica)森林中原始诱捕地点应用的回顾性结构采样设计的结果相结合。正如预期的那样,不同的森林结构、植被和场地属性的重要性在所研究的节肢动物类群(甲虫、蜘蛛、膜翅目昆虫和蝽象)之间有很大差异。与光照可用性和温度相关的措施,如树冠覆盖率或潜在辐射,对所有影响丰富度、组成或两者的类群都很重要。蜘蛛和蝽象受到最广泛的解释变量的影响,这使它们成为监测总体趋势的良好选择。对于侧重于林业对生物多样性影响的有针对性的监测,步甲和地甲似乎更合适。这两个类群都受到一组更窄、与管理相关的变量的驱动。最重要的是,我们的研究方法表明,可以利用较旧的生物多样性调查数据。尽管在我们的案例中,由于物种和结构属性采样之间的时间间隔很长,存在很大限制。