Unknown

Dataset Information

0

Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases.


ABSTRACT: 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.

SUBMITTER: De Palma A 

PROVIDER: S-EPMC4980681 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases.

De Palma Adriana A   Abrahamczyk Stefan S   Aizen Marcelo A MA   Albrecht Matthias M   Basset Yves Y   Bates Adam A   Blake Robin J RJ   Boutin Céline C   Bugter Rob R   Connop Stuart S   Cruz-López Leopoldo L   Cunningham Saul A SA   Darvill Ben B   Diekötter Tim T   Dorn Silvia S   Downing Nicola N   Entling Martin H MH   Farwig Nina N   Felicioli Antonio A   Fonte Steven J SJ   Fowler Robert R   Franzén Markus M   Goulson Dave D   Grass Ingo I   Hanley Mick E ME   Hendrix Stephen D SD   Herrmann Farina F   Herzog Felix F   Holzschuh Andrea A   Jauker Birgit B   Kessler Michael M   Knight M E ME   Kruess Andreas A   Lavelle Patrick P   Le Féon Violette V   Lentini Pia P   Malone Louise A LA   Marshall Jon J   Pachón Eliana Martínez EM   McFrederick Quinn S QS   Morales Carolina L CL   Mudri-Stojnic Sonja S   Nates-Parra Guiomar G   Nilsson Sven G SG   Öckinger Erik E   Osgathorpe Lynne L   Parra-H Alejandro A   Peres Carlos A CA   Persson Anna S AS   Petanidou Theodora T   Poveda Katja K   Power Eileen F EF   Quaranta Marino M   Quintero Carolina C   Rader Romina R   Richards Miriam H MH   Roulston T'ai T   Rousseau Laurent L   Sadler Jonathan P JP   Samnegård Ulrika U   Schellhorn Nancy A NA   Schüepp Christof C   Schweiger Oliver O   Smith-Pardo Allan H AH   Steffan-Dewenter Ingolf I   Stout Jane C JC   Tonietto Rebecca K RK   Tscharntke Teja T   Tylianakis Jason M JM   Verboven Hans A F HA   Vergara Carlos H CH   Verhulst Jort J   Westphal Catrin C   Yoon Hyung Joo HJ   Purvis Andy A  

Scientific reports 20160811


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 geog  ...[more]

Similar Datasets

| S-EPMC5528212 | biostudies-literature
| S-EPMC8410911 | biostudies-literature
| S-EPMC3076837 | biostudies-other
| S-EPMC3327650 | biostudies-literature
| PRJEB12279 | ENA
| PRJNA788717 | ENA
| PRJEB22056 | ENA
| S-EPMC9714450 | biostudies-literature
| S-EPMC10006419 | biostudies-literature
| S-EPMC4754335 | biostudies-literature