TY - JOUR A1 - Seibold, Sebastian A1 - Hothorn, Torsten A1 - Gossner, Martin M. A1 - Simons, Nadja K. A1 - Blüthgen, Nico A1 - Müller, Jörg A1 - Ambarlı, Didem A1 - Ammer, Christian A1 - Bauhus, Jürgen A1 - Fischer, Markus A1 - Habel, Jan C. A1 - Penone, Caterina A1 - Schall, Peter A1 - Schulze, Ernst‐Detlef A1 - Weisser, Wolfgang W. T1 - Insights from regional and short‐term biodiversity monitoring datasets are valuable: a reply to Daskalova et al. 2021 JF - Insect Conservation and Diversity N2 - Reports of major losses in insect biodiversity have stimulated an increasing interest in temporal population changes. Existing datasets are often limited to a small number of study sites, few points in time, a narrow range of land‐use intensities and only some taxonomic groups, or they lack standardised sampling. While new monitoring programs have been initiated, they still cover rather short time periods. Daskalova et al. 2021 (Insect Conservation and Diversity, 14, 1‐18) argue that temporal trends of insect populations derived from short time series are biased towards extreme trends, while their own analysis of an assembly of shorter‐ and longer‐term time series does not support an overall insect decline. With respect to the results of Seibold et al. 2019 (Nature, 574, 671–674) based on a 10‐year multi‐site time series, they claim that the analysis suffers from not accounting for temporal pseudoreplication. Here, we explain why the criticism of missing statistical rigour in the analysis of Seibold et al. (2019) is not warranted. Models that include ‘year’ as random effect, as suggested by Daskalova et al. (2021), fail to detect non‐linear trends and assume that consecutive years are independent samples which is questionable for insect time‐series data. We agree with Daskalova et al. (2021) that the assembly and analysis of larger datasets is urgently needed, but it will take time until such datasets are available. Thus, short‐term datasets are highly valuable, should be extended and analysed continually to provide a more detailed understanding of insect population changes under the influence of global change, and to trigger immediate conservation actions. KW - Arthropod KW - biodiversity KW - insect decline KW - land use KW - time series Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-228309 VL - 14 IS - 1 SP - 144 EP - 148 ER - TY - JOUR A1 - Bae, Soyeon A1 - Heidrich, Lea A1 - Levick, Shaun R. A1 - Gossner, Martin M. A1 - Seibold, Sebastian A1 - Weisser, Wolfgang W. A1 - Magdon, Paul A1 - Serebryanyk, Alla A1 - Bässler, Claus A1 - Schäfer, Deborah A1 - Schulze, Ernst-Detlef A1 - Doerfler, Inken A1 - Müller, Jörg A1 - Jung, Kirsten A1 - Heurich, Marco A1 - Fischer, Markus A1 - Roth, Nicolas A1 - Schall, Peter A1 - Boch, Steffen A1 - Wöllauer, Stephan A1 - Renner, Swen C. A1 - Müller, Jörg T1 - Dispersal ability, trophic position and body size mediate species turnover processes: Insights from a multi-taxa and multi-scale approach JF - Diversity and Distribution N2 - Aim: Despite increasing interest in β-diversity, that is the spatial and temporal turnover of species, the mechanisms underlying species turnover at different spatial scales are not fully understood, although they likely differ among different functional groups. We investigated the relative importance of dispersal limitations and the environmental filtering caused by vegetation for local, multi-taxa forest communities differing in their dispersal ability, trophic position and body size. Location: Temperate forests in five regions across Germany. Methods: In the inter-region analysis, the independent and shared effects of the regional spatial structure (regional species pool), landscape spatial structure (dispersal limitation) and environmental factors on species turnover were quantified with a 1-ha grain across 11 functional groups in up to 495 plots by variation partitioning. In the intra-region analysis, the relative importance of three environmental factors related to vegetation (herb and tree layer composition and forest physiognomy) and spatial structure for species turnover was determined. Results: In the inter-region analysis, over half of the explained variation in community composition (23% of the total explained 35%) was explained by the shared effects of several factors, indicative of spatially structured environmental filtering. Among the independent effects, environmental factors were the strongest on average over 11 groups, but the importance of landscape spatial structure increased for less dispersive functional groups. In the intra-region analysis, the independent effect of plant species composition had a stronger influence on species turnover than forest physiognomy, but the relative importance of the latter increased with increasing trophic position and body size. Main conclusions: Our study revealed that the mechanisms structuring assemblage composition are associated with the traits of functional groups. Hence, conservation frameworks targeting biodiversity of multiple groups should cover both environmental and biogeographical gradients. Within regions, forest management can enhance β-diversity particularly by diversifying tree species composition and forest physiognomy. KW - body size KW - dispersal ability KW - environmental filtering KW - forest physiognomy KW - neutral processes KW - plant composition KW - regional species pool KW - species turnover KW - trophic position KW - β-diversity Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-236117 VL - 27 IS - 3 ER -