TY  - JOUR
A1  - Gámez-Virués, Sagrario
A1  - Perović, David J.
A1  - Gossner, Martin M.
A1  - Börschig, Carmen
A1  - Blüthgen, Nico
A1  - de Jong, Heike
A1  - Simons, Nadja K.
A1  - Klein, Alexandra-Maria
A1  - Krauss, Jochen
A1  - Maier, Gwen
A1  - Scherber, Christoph
A1  - Steckel, Juliane
A1  - Rothenwöhrer, Christoph
A1  - Steffan-Dewenter, Ingolf
A1  - Weiner, Christiane N.
A1  - Weisser, Wolfgang
A1  - Werner, Michael
A1  - Tscharntke, Teja
A1  - Westphal, Catrin
T1  - Landscape simplification filters species traits and drives biotic homogenization
JF  - Nature Communications
N2  - Biodiversity loss can affect the viability of ecosystems by decreasing the ability of communities to respond to environmental change and disturbances. Agricultural intensification is a major driver of biodiversity loss and has multiple components operating at different spatial scales: from in-field management intensity to landscape-scale simplification. Here we show that landscape-level effects dominate functional community composition and can even buffer the effects of in-field management intensification on functional homogenization, and that animal communities in real-world managed landscapes show a unified response (across orders and guilds) to both landscape-scale simplification and in-field intensification. Adults and larvae with specialized feeding habits, species with shorter activity periods and relatively small body sizes are selected against in simplified landscapes with intense in-field management. Our results demonstrate that the diversity of land cover types at the landscape scale is critical for maintaining communities, which are functionally diverse, even in landscapes where in-field management intensity is high.
KW  - land-use intensity
KW  - community functional-responses
KW  - body-size
KW  - agricultural intensification
KW  - sustainable intensification
KW  - managed grasslands
KW  - biodiversity
KW  - diversity
KW  - heterogenity
KW  - butterflies
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-141925
VL  - 6
IS  - 8568
ER  - 
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  -