@article{SeiboldHothornGossneretal.2021,
  author    = {Seibold, Sebastian and Hothorn, Torsten and Gossner, Martin M. and Simons, Nadja K. and Bl{\"u}thgen, Nico and M{\"u}ller, J{\"o}rg and Ambarl{\i}, Didem and Ammer, Christian and Bauhus, J{\"u}rgen and Fischer, Markus and Habel, Jan C. and Penone, Caterina and Schall, Peter and Schulze, Ernst-Detlef and Weisser, Wolfgang W.},
  title     = {Insights from regional and short-term biodiversity monitoring datasets are valuable: a reply to Daskalova et al. 2021},
  series = {Insect Conservation and Diversity},
  volume    = {14},
  journal   = {Insect Conservation and Diversity},
  number    = {1},
  doi       = {10.1111/icad.12467},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-228309},
  pages     = {144 -- 148},
  year      = {2021},
  abstract  = {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.},
  language  = {en}
}
@article{LeProvostThieleWestphaletal.2021,
  author    = {Le Provost, Ga{\"e}tane and Thiele, Jan and Westphal, Catrin and Penone, Caterina and Allan, Eric and Neyret, Margot and van der Plas, Fons and Ayasse, Manfred and Bardgett, Richard D. and Birkhofer, Klaus and Boch, Steffen and Bonkowski, Michael and Buscot, Francois and Feldhaar, Heike and Gaulton, Rachel and Goldmann, Kezia and Gossner, Martin M. and Klaus, Valentin H. and Kleinebecker, Till and Krauss, Jochen and Renner, Swen and Scherreiks, Pascal and Sikorski, Johannes and Baulechner, Dennis and Bl{\"u}thgen, Nico and Bolliger, Ralph and B{\"o}rschig, Carmen and Busch, Verena and Chist{\´e}, Melanie and Fiore-Donno, Anna Maria and Fischer, Markus and Arndt, Hartmut and Hoelzel, Norbert and John, Katharina and Jung, Kirsten and Lange, Markus and Marzini, Carlo and Overmann, J{\"o}rg and Paŝalić, Esther and Perović, David J. and Prati, Daniel and Sch{\"a}fer, Deborah and Sch{\"o}ning, Ingo and Schrumpf, Marion and Sonnemann, Ilja and Steffan-Dewenter, Ingolf and Tschapka, Marco and T{\"u}rke, Manfred and Vogt, Juliane and Wehner, Katja and Weiner, Christiane and Weisser, Wolfgang and Wells, Konstans and Werner, Michael and Wolters, Volkmar and Wubet, Tesfaye and Wurst, Susanne and Zaitsev, Andrey S. and Manning, Peter},
  title     = {Contrasting responses of above- and belowground diversity to multiple components of land-use intensity},
  series = {Nature Communications},
  volume    = {12},
  journal   = {Nature Communications},
  doi       = {10.1038/s41467-021-23931-1},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-371552},
  year      = {2021},
  abstract  = {Land-use intensification is a major driver of biodiversity loss. However, understanding how different components of land use drive biodiversity loss requires the investigation of multiple trophic levels across spatial scales. Using data from 150 agricultural grasslands in central Europe, we assess the influence of multiple components of local- and landscape-level land use on more than 4,000 above- and belowground taxa, spanning 20 trophic groups. Plot-level land-use intensity is strongly and negatively associated with aboveground trophic groups, but positively or not associated with belowground trophic groups. Meanwhile, both above- and belowground trophic groups respond to landscape-level land use, but to different drivers: aboveground diversity of grasslands is promoted by diverse surrounding land-cover, while belowground diversity is positively related to a high permanent forest cover in the surrounding landscape. These results highlight a role of landscape-level land use in shaping belowground communities, and suggest that revised agroecosystem management strategies are needed to conserve whole-ecosystem biodiversity.},
  language  = {en}
}