BACKGROUND: Traditional biomonitoring approaches have delivered a basic understanding of biodiversity, but they cannot support the large-scale assessments required to manage and protect entire ecosystems. This study used DNA metabarcoding to assess spatial and temporal variation in species richness and diversity in arthropod communities from 52 protected areas spanning 3 Canadian ecoregions. RESULTS: This study revealed the presence of 26,263 arthropod species in the 3 ecoregions and indicated that at least another 3,000-5,000 await detection. Results further demonstrate that communities are more similar within than between ecoregions, even after controlling for geographical distance. Overall α-diversity declined from east to west, reflecting a gradient in habitat disturbance. Shifts in species composition were high at every site, with turnover greater than nestedness, suggesting the presence of many transient species. CONCLUSIONS: Differences in species composition among their arthropod communities confirm that ecoregions are a useful synoptic for biogeographic patterns and for structuring conservation efforts. The present results also demonstrate that metabarcoding enables large-scale monitoring of shifts in species composition, making it possible to move beyond the biomass measurements that have been the key metric used in prior efforts to track change in arthropod communities.
BACKGROUND: Traditional biomonitoring approaches have delivered a basic understanding of biodiversity, but they cannot support the large-scale assessments required to manage and protect entire ecosystems. This study used DNA metabarcoding to assess spatial and temporal variation in species richness and diversity in arthropod communities from 52 protected areas spanning 3 Canadian ecoregions. RESULTS: This study revealed the presence of 26,263 arthropod species in the 3 ecoregions and indicated that at least another 3,000-5,000 await detection. Results further demonstrate that communities are more similar within than between ecoregions, even after controlling for geographical distance. Overall α-diversity declined from east to west, reflecting a gradient in habitat disturbance. Shifts in species composition were high at every site, with turnover greater than nestedness, suggesting the presence of many transient species. CONCLUSIONS: Differences in species composition among their arthropod communities confirm that ecoregions are a useful synoptic for biogeographic patterns and for structuring conservation efforts. The present results also demonstrate that metabarcoding enables large-scale monitoring of shifts in species composition, making it possible to move beyond the biomass measurements that have been the key metric used in prior efforts to track change in arthropod communities.
Authors: Teja Tscharntke; Jason M Tylianakis; Tatyana A Rand; Raphael K Didham; Lenore Fahrig; Péter Batáry; Janne Bengtsson; Yann Clough; Thomas O Crist; Carsten F Dormann; Robert M Ewers; Jochen Fründ; Robert D Holt; Andrea Holzschuh; Alexandra M Klein; David Kleijn; Claire Kremen; Doug A Landis; William Laurance; David Lindenmayer; Christoph Scherber; Navjot Sodhi; Ingolf Steffan-Dewenter; Carsten Thies; Wim H van der Putten; Catrin Westphal Journal: Biol Rev Camb Philos Soc Date: 2012-01-24
Authors: Jeremy R deWaard; Valerie Levesque-Beaudin; Stephanie L deWaard; Natalia V Ivanova; Jaclyn T A McKeown; Renee Miskie; Suresh Naik; Kate H J Perez; Sujeevan Ratnasingham; Crystal N Sobel; Jayme E Sones; Claudia Steinke; Angela C Telfer; Andrew D Young; Monica R Young; Evgeny V Zakharov; Paul D N Hebert Journal: Genome Date: 2018-09-26 Impact factor: 2.166
Authors: Eva Bellemain; Marie L Davey; Håvard Kauserud; Laura S Epp; Sanne Boessenkool; Eric Coissac; Jozsef Geml; Mary Edwards; Eske Willerslev; Galina Gussarova; Pierre Taberlet; James Haile; Christian Brochmann Journal: Environ Microbiol Date: 2012-11-22 Impact factor: 5.491
Authors: Eric Dinerstein; David Olson; Anup Joshi; Carly Vynne; Neil D Burgess; Eric Wikramanayake; Nathan Hahn; Suzanne Palminteri; Prashant Hedao; Reed Noss; Matt Hansen; Harvey Locke; Erle C Ellis; Benjamin Jones; Charles Victor Barber; Randy Hayes; Cyril Kormos; Vance Martin; Eileen Crist; Wes Sechrest; Lori Price; Jonathan E M Baillie; Don Weeden; Kierán Suckling; Crystal Davis; Nigel Sizer; Rebecca Moore; David Thau; Tanya Birch; Peter Potapov; Svetlana Turubanova; Alexandra Tyukavina; Nadia de Souza; Lilian Pintea; José C Brito; Othman A Llewellyn; Anthony G Miller; Annette Patzelt; Shahina A Ghazanfar; Jonathan Timberlake; Heinz Klöser; Yara Shennan-Farpón; Roeland Kindt; Jens-Peter Barnekow Lillesø; Paulo van Breugel; Lars Graudal; Maianna Voge; Khalaf F Al-Shammari; Muhammad Saleem Journal: Bioscience Date: 2017-04-05 Impact factor: 8.589
Authors: Caspar A Hallmann; Martin Sorg; Eelke Jongejans; Henk Siepel; Nick Hofland; Heinz Schwan; Werner Stenmans; Andreas Müller; Hubert Sumser; Thomas Hörren; Dave Goulson; Hans de Kroon Journal: PLoS One Date: 2017-10-18 Impact factor: 3.240
Authors: D Steinke; S L deWaard; J E Sones; N V Ivanova; S W J Prosser; K Perez; T W A Braukmann; M Milton; E V Zakharov; J R deWaard; S Ratnasingham; P D N Hebert Journal: Gigascience Date: 2022-04-28 Impact factor: 7.658