Data Set Citation:
When using this data, please cite the data package:
NCEAS 9381: Kremen: Restoring an ecosystem service to degraded landscapes: Native bees and crop pollination , National Center for Ecological Analysis and Synthesis , and Kennedy C. 2012.
Local farm management and landscape effects on native bee pollinators in agroecosystems
nceas.993.1 (https://knb.ecoinformatics.org:443/knb/metacat/nceas.993.1/nceas)
General Information:
Title:Local farm management and landscape effects on native bee pollinators in agroecosystems
Identifier:nceas.993
Abstract:
We compiled studies on pollinator communities on multiple farm sites within an agricultural landscape that was characterized by a gradient in land use intensity and could be spatially characterized by a GIS land cover map. We identified 39 suitable studies on 23 crops in 14 countries on 6 continents based on knowledge of the authors and previous synthetic work. Twenty-six studies have been published in peer-reviewed journals, while 13 were unpublished datasets. Author(s) of each study provided 1) data on bee abundance or visitation, and bee richness for sampled farm sites, 2) spatial locations of sites, 3) GIS data on multi-class land cover surrounding each site, 4) estimates of floral resource quality and nesting quality for different bee guilds for land-cover classes depicted in GIS maps, and 5) local farm management practices (organic or conventional; high or low vegetative diversity). For each study, we applied a quantitative, mechanistic model to predict relative abundance of wild bees for each farm site based on foraging distances and landscape composition data that were coded to capture estimated differences in nesting and floral resources. We also calculated metrics of landscape configuration to characterize heterogeneity, aggregation, patch shape complexity, and inter-patch connectivity surrounding each farm site. We tested the relative importance of landscape composition, landscape configuration, and local farm management as predictors of observed wild bee abundance and richness. These datasets and analyses are used in: C.M. Kennedy, Eric Lonsdorf, Maile C. Neel, Neal M. Williams, Taylor H. Ricketts, Rachel Winfree, Riccardo Bommarco, Claire Brittain, Alana L. Burley, Daniel Cariveau, Luísa G. Carvalheiro, Natacha P. Chacoff, Saul A. Cunningham, Bryan N. Danforth, Jan-Hendrik Dudenhöffer, Elizabeth Elle, Hannah R. Gaines, Claudio Gratton, Sarah S. Greenleaf, Andrea Holzschuh, Rufus Isaacs, Steven K. Javorek, Shalene Jha, Alexandra M. Klein, Kristin Krewenka, Yael Mandelik, Margaret M. Mayfield, Lora Morandin, Lisa A. Neame, Mark Otieno, Mia Park, Simon G. Potts, Maj Rundlöf, Agustin Sáez, Ingolf Steffan-Dewenter, Hisatomo Taki, Julianna K. Tuell, Blandina Felipe Viana, Ruan Veldtman, Catrin Westphal, and Claire Kremen. A global quantitative synthesis of local and landscape effects on native bee pollinators in agroecosystems. In preparation, Ecology Letters.
Keywords:None:
  • Pollination service
  • Ecosystem service
  • Agroecosystem
  • Landscape structure
  • Landscape ecology
  • Apoidea
  • Bee
  • Hymenoptera
  • Insect
GCMD:
  • Biodiversity Functions
  • Pollinator species
  • Terrestrial Ecosystems
Publication Date:2012-07-27
Data Table, Image, and Other Data Details:
Metadata download: Ecological Metadata Language (EML) File
Other Data:Workbook1.csv ( View Metadata | Download File download)

Involved Parties

Data Set Creators:
Organization:NCEAS 9381: Kremen: Restoring an ecosystem service to degraded landscapes: Native bees and crop pollination
Organization:National Center for Ecological Analysis and Synthesis
Individual: Christina Kennedy
Email Address:
christina.marie.kennedy@gmail.com
Data Set Contacts:
Individual: Christina Kennedy
Email Address:
christina.marie.kennedy@gmail.com
Associated Parties:
Individual: Christina Kennedy
Individual: James Regetz
Individual: Claire Kremen
Metadata Providers:
Individual: Claire Kremen

Data Set Characteristics

Geographic Region:
Geographic Description:Data was obtained on 23 crops grown in 14 countries on 6 continents. Studies occurred in: Argentina, Australia, Brazil, Canada, Costa Rica, England, Germany, Israel, Japan, Kenya, Mexico, South Africa, Sweden, USA
Bounding Coordinates:
West:  0.0000  degrees
East:  0.0000  degrees
North:  0.0000  degrees
South:  0.0000  degrees
Time Period:
Begin:
2000
End:
2010

Sampling, Processing and Quality Control Methods

Step by Step Procedures
Step 1:  
Description:

Characterizing Bee abundance and Diversity Studies in Agroecosytems

Of these studies, 21 were located in temperate, 8 in Mediterranean, and 10 in tropical or subtropical zones. Studies sampled crops with varying levels of dependence on pollinators for reproduction: low dependence (<10% yield reduction without pollinators) (N = 6 studies), modest (10-40%) (N = 11), high (40-90%) (N = 7), or essential (>90%) (N = 15). The number of sites per study varied from 5 to 55 sites. All 39 studies measured bee abundance or visitation and all but one study measured species richness. A little over half of studies measured bee abundance (i.e., number of individual bees collected based on sweep netting, pan trapping, or both) (N= 22), while the remaining studies measured bee visitation (i.e., number of times a bee was observed landing on, foraging from, or touching a flower) (N = 17). We categorized each farm site based on local farming practices. Farm sites included both organic (i.e., lacking use of herbicides, synthetic fertilizers or pesticides) (13% of sites) or conventional (i.e., using synthetic inputs to cultivate crops) (87%), and were locally diverse (small fields, <4 ha, with mixed crop types within or across fields and/or presence of non-crop vegetation, such as hedgerows, flower strips, and/or weedy margins or agroforestry) (27%) or locally simple (large monocultural fields, &#8805;4 ha, lacking crop or other plant diversity) (73%).

Data Set Usage Rights

Obtain permission from data set owner(s)
Access Control:
Auth System:knb
Order:allowFirst
Allow: [all] uid=nceasadmin,o=NCEAS,dc=ecoinformatics,dc=org
Allow: [all] cn=knb-prod,o=NCEAS,dc=ecoinformatics,dc=org
Allow: [all] cn=esa-moderators,dc=ecoinformatics,dc=org
Allow: [read] [write] uid=ckremen,o=unaffiliated,dc=ecoinformatics,dc=org
Allow: [read] public
Metadata download: Ecological Metadata Language (EML) File