TY  - JOUR
A1  - Basset, Yves
A1  - Cizek, Lukas
A1  - Cuénoud, Philippe
A1  - Didham, Raphael K.
A1  - Novotny, Vojtech
A1  - Ødegaard, Frode
A1  - Roslin, Tomas
A1  - Tishechkin, Alexey K.
A1  - Schmidl, Jürgen
A1  - Winchester, Neville N.
A1  - Roubik, David W.
A1  - Aberlenc, Henri-Pierre
A1  - Bail, Johannes
A1  - Barrios, Hector
A1  - Bridle, Jonathan R.
A1  - Castaño-Meneses, Gabriela
A1  - Corbara, Bruno
A1  - Curletti, Gianfranco
A1  - da Rocha, Wesley Duarte
A1  - De Bakker, Domir
A1  - Delabie, Jacques H. C.
A1  - Dejean, Alain
A1  - Fagan, Laura L.
A1  - Floren, Andreas
A1  - Kitching, Roger L.
A1  - Medianero, Enrique
A1  - de Oliveira, Evandro Gama
A1  - Orivel, Jerome
A1  - Pollet, Marc
A1  - Rapp, Mathieu
A1  - Ribeiro, Servio P.
A1  - Roisin, Yves
A1  - Schmidt, Jesper B.
A1  - Sørensen, Line
A1  - Lewinsohn, Thomas M.
A1  - Leponce, Maurice
T1  - Arthropod Distribution in a Tropical Rainforest: Tackling a Four Dimensional Puzzle
JF  - PLoS ONE
N2  - Quantifying the spatio-temporal distribution of arthropods in tropical rainforests represents a first step towards scrutinizing the global distribution of biodiversity on Earth. To date most studies have focused on narrow taxonomic groups or lack a design that allows partitioning of the components of diversity. Here, we consider an exceptionally large dataset (113,952 individuals representing 5,858 species), obtained from the San Lorenzo forest in Panama, where the phylogenetic breadth of arthropod taxa was surveyed using 14 protocols targeting the soil, litter, understory, lower and upper canopy habitats, replicated across seasons in 2003 and 2004. This dataset is used to explore the relative influence of horizontal, vertical and seasonal drivers of arthropod distribution in this forest. We considered arthropod abundance, observed and estimated species richness, additive decomposition of species richness, multiplicative partitioning of species diversity, variation in species composition, species turnover and guild structure as components of diversity. At the scale of our study (2km of distance, 40m in height and 400 days), the effects related to the vertical and seasonal dimensions were most important. Most adult arthropods were collected from the soil/litter or the upper canopy and species richness was highest in the canopy. We compared the distribution of arthropods and trees within our study system. Effects related to the seasonal dimension were stronger for arthropods than for trees. We conclude that: (1) models of beta diversity developed for tropical trees are unlikely to be applicable to tropical arthropods; (2) it is imperative that estimates of global biodiversity derived from mass collecting of arthropods in tropical rainforests embrace the strong vertical and seasonal partitioning observed here; and (3) given the high species turnover observed between seasons, global climate change may have severe consequences for rainforest arthropods.
KW  - trees
KW  - species richness
KW  - beta-diveristy
KW  - strategy
KW  - turnover
KW  - similarity
KW  - biodiversity
KW  - specialization
KW  - herbivorous insects
KW  - assemblages
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-136393
VL  - 10
IS  - 12
ER  - 
TY  - JOUR
A1  - De Palma, Adriana
A1  - Abrahamczyk, Stefan
A1  - Aizen, Marcelo A.
A1  - Albrecht, Matthias
A1  - Basset, Yves
A1  - Bates, Adam
A1  - Blake, Robin J.
A1  - Boutin, Céline
A1  - Bugter, Rob
A1  - Connop, Stuart
A1  - Cruz-López, Leopoldo
A1  - Cunningham, Saul A.
A1  - Darvill, Ben
A1  - Diekötter, Tim
A1  - Dorn, Silvia
A1  - Downing, Nicola
A1  - Entling, Martin H.
A1  - Farwig, Nina
A1  - Felicioli, Antonio
A1  - Fonte, Steven J.
A1  - Fowler, Robert
A1  - Franzen, Markus Franzén
A1  - Goulson, Dave
A1  - Grass, Ingo
A1  - Hanley, Mick E.
A1  - Hendrix, Stephen D.
A1  - Herrmann, Farina
A1  - Herzog, Felix
A1  - Holzschuh, Andrea
A1  - Jauker, Birgit
A1  - Kessler, Michael
A1  - Knight, M. E.
A1  - Kruess, Andreas
A1  - Lavelle, Patrick
A1  - Le Féon, Violette
A1  - Lentini, Pia
A1  - Malone, Louise A.
A1  - Marshall, Jon
A1  - Martínez Pachón, Eliana
A1  - McFrederick, Quinn S.
A1  - Morales, Carolina L.
A1  - Mudri-Stojnic, Sonja
A1  - Nates-Parra, Guiomar
A1  - Nilsson, Sven G.
A1  - Öckinger, Erik
A1  - Osgathorpe, Lynne
A1  - Parra-H, Alejandro
A1  - Peres, Carlos A.
A1  - Persson, Anna S.
A1  - Petanidou, Theodora
A1  - Poveda, Katja
A1  - Power, Eileen F.
A1  - Quaranta, Marino
A1  - Quintero, Carolina
A1  - Rader, Romina
A1  - Richards, Miriam H.
A1  - Roulston, T’ai
A1  - Rousseau, Laurent
A1  - Sadler, Jonathan P.
A1  - Samnegård, Ulrika
A1  - Schellhorn, Nancy A.
A1  - Schüepp, Christof
A1  - Schweiger, Oliver
A1  - Smith-Pardo, Allan H.
A1  - Steffan-Dewenter, Ingolf
A1  - Stout, Jane C.
A1  - Tonietto, Rebecca K.
A1  - Tscharntke, Teja
A1  - Tylianakis, Jason M.
A1  - Verboven, Hans A. F.
A1  - Vergara, Carlos H.
A1  - Verhulst, Jort
A1  - Westphal, Catrin
A1  - Yoon, Hyung Joo
A1  - Purvis, Andy
T1  - Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases
JF  - Scientific Reports
N2  - Land-use change and intensification threaten bee populations worldwide, imperilling pollination services. Global models are needed to better characterise, project, and mitigate bees' responses to these human impacts. The available data are, however, geographically and taxonomically unrepresentative; most data are from North America and Western Europe, overrepresenting bumblebees and raising concerns that model results may not be generalizable to other regions and taxa. To assess whether the geographic and taxonomic biases of data could undermine effectiveness of models for conservation policy, we have collated from the published literature a global dataset of bee diversity at sites facing land-use change and intensification, and assess whether bee responses to these pressures vary across 11 regions (Western, Northern, Eastern and Southern Europe; North, Central and South America; Australia and New Zealand; South East Asia; Middle and Southern Africa) and between bumblebees and other bees. Our analyses highlight strong regionally-based responses of total abundance, species richness and Simpson's diversity to land use, caused by variation in the sensitivity of species and potentially in the nature of threats. These results suggest that global extrapolation of models based on geographically and taxonomically restricted data may underestimate the true uncertainty, increasing the risk of ecological surprises.
KW  - bee community
KW  - land-use change
KW  - intensification
KW  - geographic biases
KW  - taxonomic biases
KW  - global dataset
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-167642
VL  - 6
ER  -