TY  - JOUR
A1  - Le Provost, Gaëtane
A1  - Thiele, Jan
A1  - Westphal, Catrin
A1  - Penone, Caterina
A1  - Allan, Eric
A1  - Neyret, Margot
A1  - van der Plas, Fons
A1  - Ayasse, Manfred
A1  - Bardgett, Richard D.
A1  - Birkhofer, Klaus
A1  - Boch, Steffen
A1  - Bonkowski, Michael
A1  - Buscot, Francois
A1  - Feldhaar, Heike
A1  - Gaulton, Rachel
A1  - Goldmann, Kezia
A1  - Gossner, Martin M.
A1  - Klaus, Valentin H.
A1  - Kleinebecker, Till
A1  - Krauss, Jochen
A1  - Renner, Swen
A1  - Scherreiks, Pascal
A1  - Sikorski, Johannes
A1  - Baulechner, Dennis
A1  - Blüthgen, Nico
A1  - Bolliger, Ralph
A1  - Börschig, Carmen
A1  - Busch, Verena
A1  - Chisté, Melanie
A1  - Fiore-Donno, Anna Maria
A1  - Fischer, Markus
A1  - Arndt, Hartmut
A1  - Hoelzel, Norbert
A1  - John, Katharina
A1  - Jung, Kirsten
A1  - Lange, Markus
A1  - Marzini, Carlo
A1  - Overmann, Jörg
A1  - Paŝalić, Esther
A1  - Perović, David J.
A1  - Prati, Daniel
A1  - Schäfer, Deborah
A1  - Schöning, Ingo
A1  - Schrumpf, Marion
A1  - Sonnemann, Ilja
A1  - Steffan-Dewenter, Ingolf
A1  - Tschapka, Marco
A1  - Türke, Manfred
A1  - Vogt, Juliane
A1  - Wehner, Katja
A1  - Weiner, Christiane
A1  - Weisser, Wolfgang
A1  - Wells, Konstans
A1  - Werner, Michael
A1  - Wolters, Volkmar
A1  - Wubet, Tesfaye
A1  - Wurst, Susanne
A1  - Zaitsev, Andrey S.
A1  - Manning, Peter
T1  - Contrasting responses of above- and belowground diversity to multiple components of land-use intensity
JF  - Nature Communications
N2  - 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.
KW  - biodiversity
KW  - community ecology
KW  - grassland ecology
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-371552
VL  - 12
ER  - 
TY  - JOUR
A1  - Albrecht, Jörg
A1  - Classen, Alice
A1  - Vollstädt, Maximilian G.R.
A1  - Mayr, Antonia
A1  - Mollel, Neduvoto P.
A1  - Schellenberger Costa, David
A1  - Dulle, Hamadi I.
A1  - Fischer, Markus
A1  - Hemp, Andreas
A1  - Howell, Kim M.
A1  - Kleyer, Michael
A1  - Nauss, Thomas
A1  - Peters, Marcell K.
A1  - Tschapka, Marco
A1  - Steffan-Dewenter, Ingolf
A1  - Böhning-Gaese, Katrin
A1  - Schleuning, Matthias
T1  - Plant and animal functional diversity drive mutualistic network assembly across an elevational gradient
JF  - Nature Communications
N2  - Species' functional traits set the blueprint for pair-wise interactions in ecological networks. Yet, it is unknown to what extent the functional diversity of plant and animal communities controls network assembly along environmental gradients in real-world ecosystems. Here we address this question with a unique dataset of mutualistic bird-fruit, bird-flower and insect-flower interaction networks and associated functional traits of 200 plant and 282 animal species sampled along broad climate and land-use gradients on Mt. Kilimanjaro. We show that plant functional diversity is mainly limited by precipitation, while animal functional diversity is primarily limited by temperature. Furthermore, shifts in plant and animal functional diversity along the elevational gradient control the niche breadth and partitioning of the respective other trophic level. These findings reveal that climatic constraints on the functional diversity of either plants or animals determine the relative importance of bottom-up and top-down control in plant-animal interaction networks.
KW  - Traits-Environment Relationships
KW  - Species Traits
KW  - Ecological Networks
KW  - 4TH-Corner Problem
KW  - Multiple Traits
KW  - Bottom-up
KW  - Biodiversity
KW  - Community ecology
KW  - Ecological networks
KW  - Ecology
KW  - Ecosystem ecology
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-221056
VL  - 9
ER  - 
TY  - JOUR
A1  - Ziegler, Alice
A1  - Meyer, Hanna
A1  - Otte, Insa
A1  - Peters, Marcell K.
A1  - Appelhans, Tim
A1  - Behler, Christina
A1  - Böhning-Gaese, Katrin
A1  - Classen, Alice
A1  - Detsch, Florian
A1  - Deckert, Jürgen
A1  - Eardley, Connal D.
A1  - Ferger, Stefan W.
A1  - Fischer, Markus
A1  - Gebert, Friederike
A1  - Haas, Michael
A1  - Helbig-Bonitz, Maria
A1  - Hemp, Andreas
A1  - Hemp, Claudia
A1  - Kakengi, Victor
A1  - Mayr, Antonia V.
A1  - Ngereza, Christine
A1  - Reudenbach, Christoph
A1  - Röder, Juliane
A1  - Rutten, Gemma
A1  - Schellenberger Costa, David
A1  - Schleuning, Matthias
A1  - Ssymank, Axel
A1  - Steffan-Dewenter, Ingolf
A1  - Tardanico, Joseph
A1  - Tschapka, Marco
A1  - Vollstädt, Maximilian G. R.
A1  - Wöllauer, Stephan
A1  - Zhang, Jie
A1  - Brandl, Roland
A1  - Nauss, Thomas
T1  - Potential of airborne LiDAR derived vegetation structure for the prediction of animal species richness at Mount Kilimanjaro
JF  - Remote Sensing
N2  - The monitoring of species and functional diversity is of increasing relevance for the development of strategies for the conservation and management of biodiversity. Therefore, reliable estimates of the performance of monitoring techniques across taxa become important. Using a unique dataset, this study investigates the potential of airborne LiDAR-derived variables characterizing vegetation structure as predictors for animal species richness at the southern slopes of Mount Kilimanjaro. To disentangle the structural LiDAR information from co-factors related to elevational vegetation zones, LiDAR-based models were compared to the predictive power of elevation models. 17 taxa and 4 feeding guilds were modeled and the standardized study design allowed for a comparison across the assemblages. Results show that most taxa (14) and feeding guilds (3) can be predicted best by elevation with normalized RMSE values but only for three of those taxa and two of those feeding guilds the difference to other models is significant. Generally, modeling performances between different models vary only slightly for each assemblage. For the remaining, structural information at most showed little additional contribution to the performance. In summary, LiDAR observations can be used for animal species prediction. However, the effort and cost of aerial surveys are not always in proportion with the prediction quality, especially when the species distribution follows zonal patterns, and elevation information yields similar results.
KW  - biodiversity
KW  - species richness
KW  - LiDAR
KW  - elevation
KW  - partial least square regression
KW  - arthropods
KW  - birds
KW  - bats
KW  - predictive modeling
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-262251
SN  - 2072-4292
VL  - 14
IS  - 3
ER  - 
TY  - JOUR
A1  - Peters, Marcell K.
A1  - Hemp, Andreas
A1  - Appelhans, Tim
A1  - Behler, Christina
A1  - Classen, Alice
A1  - Detsch, Florian
A1  - Ensslin, Andreas
A1  - Ferger, Stefan W.
A1  - Frederiksen, Sara B.
A1  - Gebert, Frederike
A1  - Haas, Michael
A1  - Helbig-Bonitz, Maria
A1  - Hemp, Claudia
A1  - Kindeketa, William J.
A1  - Mwangomo, Ephraim
A1  - Ngereza, Christine
A1  - Otte, Insa
A1  - Röder, Juliane
A1  - Rutten, Gemma
A1  - Costa, David Schellenberger
A1  - Tardanico, Joseph
A1  - Zancolli, Giulia
A1  - Deckert, Jürgen
A1  - Eardley, Connal D.
A1  - Peters, Ralph S.
A1  - Rödel, Mark-Oliver
A1  - Schleuning, Matthias
A1  - Ssymank, Axel
A1  - Kakengi, Victor
A1  - Zhang, Jie
A1  - Böhning-Gaese, Katrin
A1  - Brandl, Roland
A1  - Kalko, Elisabeth K.V.
A1  - Kleyer, Michael
A1  - Nauss, Thomas
A1  - Tschapka, Marco
A1  - Fischer, Markus
A1  - Steffan-Dewenter, Ingolf
T1  - Predictors of elevational biodiversity gradients change from single taxa to the multi-taxa community level
JF  - Nature Communications
N2  - The factors determining gradients of biodiversity are a fundamental yet unresolved topic in ecology. While diversity gradients have been analysed for numerous single taxa, progress towards general explanatory models has been hampered by limitations in the phylogenetic coverage of past studies. By parallel sampling of 25 major plant and animal taxa along a 3.7 km elevational gradient on Mt. Kilimanjaro, we quantify cross-taxon consensus in diversity gradients and evaluate predictors of diversity from single taxa to a multi-taxa community level. While single taxa show complex distribution patterns and respond to different environmental factors, scaling up diversity to the community level leads to an unambiguous support for temperature as the main predictor of species richness in both plants and animals. Our findings illuminate the influence of taxonomic coverage for models of diversity gradients and point to the importance of temperature for diversification and species coexistence in plant and animal communities.
KW  - community ecology
KW  - macroecology
KW  - tropical ecology
KW  - biodiversity
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-169374
VL  - 7
ER  -