text:
.1741.
   Lopez-Uribe MM, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2016.0443.
   M'Gonigle LK, 2015, ECOL APPL, V25, P1557, DOI 10.1890/14-1863.1.
   Magurran AE, 1988, ECOLOGICAL DIVERSITY.
   Mayer Carolin, 2004, Transactions of the Royal Society of South Africa, V59, P55.
   Minckley RL, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.2703.
   Moeller DA, 2004, ECOLOGY, V85, P3289, DOI 10.1890/03-0810.
   Molinar RH, 2012, HORTSCIENCE, V47, P835, DOI 10.21273/HORTSCI.47.7.835.
   Morandin LA, 2013, RESTOR ECOL, V21, P26, DOI 10.1111/j.1526-100X.2012.00876.x.
   Motzke I, 2016, AGR ECOSYST ENVIRON, V223, P144, DOI 10.1016/j.agee.2016.03.001.
   Norris SL, 2018, AGR FOREST ENTOMOL, V20, P246, DOI 10.1111/afe.12251.
   Ogilvie JE, 2017, CURR OPIN INSECT SCI, V21, P75, DOI 10.1016/j.cois.2017.05.015.
   Patricio-Roberto Gleiciani B., 2014, Diversity-Basel, V6, P158, DOI 10.3390/d6010158.
   Pereira ALC, 2015, J INSECT CONSERV, V19, P479, DOI 10.1007/s10841-015-9768-3.
   Petchey OL, 2006, ECOL LETT, V9, P741, DOI 10.1111/j.1461-0248.2006.00924.x.
   Ponisio LC, 2016, GLOBAL CHANGE BIOL, V22, P704, DOI 10.1111/gcb.13117.
   Pope NS, 2018, AM NAT, V191, P45, DOI 10.1086/694843.
   Potts SG, 2016, NATURE, V540, P220, DOI 10.1038/nature20588.
   Quinn NF, 2017, J ECON ENTOMOL, V110, P517, DOI 10.1093/jee/tow306.
   R Core Team, 2018, LANG ENV STAT COMP.
   Roulston TH, 2000, ECOL MONOGR, V70, P617, DOI 10.1890/0012-9615(2000)070{[}0617:WGPCOP]2.0.CO;2.
   Rudel TK, 2009, P NATL ACAD SCI USA, V106, P20675, DOI 10.1073/pnas.0812540106.
   Rundlof M, 2008, BIOL CONSERV, V141, P417, DOI 10.1016/j.biocon.2007.10.011.
   Sardinas HS, 2015, AGR ECOSYST ENVIRON, V207, P17, DOI 10.1016/j.agee.2015.03.020.
   Scheper J, 2014, P NATL ACAD SCI USA, V111, P17552, DOI 10.1073/pnas.1412973111.
   Shuler RE, 2005, J ECON ENTOMOL, V98, P790, DOI 10.1603/0022-0493-98.3.790.
   Stanley DA, 2014, PLANT ECOL, V215, P315, DOI 10.1007/s11258-014-0301-7.
   Steffan-Dewenter I, 2002, ECOLOGY, V83, P1421, DOI 10.1890/0012-9658(2002)083{[}1421:SDEOLC]2.0.CO;2.
   Steffan-Dewenter I, 2003, BIODIVERS CONSERV, V12, P1953, DOI 10.1023/A:1024199513365.
   TEPEDINO VJ, 1981, J KANSAS ENTOMOL SOC, V54, P359.
   Ullmann K. S., 2015, THESIS.
   Ullmann KS, 2016, AGR ECOSYST ENVIRON, V232, P240, DOI 10.1016/j.agee.2016.08.002.
   Venjakob C, 2016, ECOL EVOL, V6, P2249, DOI 10.1002/ece3.2026.
   Venturini EM, 2017, J ECON ENTOMOL, V110, P333, DOI 10.1093/jee/tow285.
   Waser NM, 1996, ECOLOGY, V77, P1043, DOI 10.2307/2265575.
   Westphal C, 2003, ECOL LETT, V6, P961, DOI 10.1046/j.1461-0248.2003.00523.x.
   Williams NM, 2010, BIOL CONSERV, V143, P2280, DOI 10.1016/j.biocon.2010.03.024.
   Wood TJ, 2016, BIODIVERS CONSERV, V25, P2655, DOI 10.1007/s10531-016-1191-x.}},
Number-of-Cited-References = {{84}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{1}},
Journal-ISO = {{Front. Sustain. Food Syst.}},
Doc-Delivery-Number = {{LR5SC}},
Unique-ID = {{ISI:000535753600001}},
OA = {{DOAJ Gold}},
DA = {{2020-11-05}},
}

@article{ ISI:000490917800001,
Author = {Millard, Joseph W. and Freeman, Robin and Newbold, Tim},
Title = {{Text-analysis reveals taxonomic and geographic disparities in animal
   pollination literature}},
Journal = {{ECOGRAPHY}},
Year = {{2020}},
Volume = {{43}},
Number = {{1}},
Pages = {{44-59}},
Month = {{JAN}},
Abstract = {{Ecological systematic reviews and meta-analyses have significantly
   increased our understanding of global biodiversity decline. However, for
   some ecological groups, incomplete and biased datasets have hindered our
   ability to construct robust, predictive models. One such group consists
   of the animal pollinators. Approximately 88\% of wild plant species are
   thought to be pollinated by animals, with an estimated annual value of
   \$230-410 billion dollars. Here we apply text-analysis to quantify the
   taxonomic and geographical distribution of the animal pollinator
   literature, both temporally and spatially. We show that the publication
   of pollinator literature increased rapidly in the 1980s and 1990s.
   Taxonomically, we show that the distribution of pollinator literature is
   concentrated in the honey bees (Apis) and bumble bees (Bombus), and
   geographically in North America and Europe. At least 25\% of
   pollination-related abstracts mention a species of honey bee and at
   least 20\% a species of bumble bee, and approximately 46\% of abstracts
   are focussed on either North America (32\%) or Europe (14\%). Although
   these results indicate strong taxonomic and geographic biases in the
   pollinator literature, a large number of studies outside North America
   and Europe do exist. We then discuss how text-analysis could be used to
   shorten the literature search for ecological systematic reviews and
   meta-analyses, and to address more applied questions related to
   pollinator biodiversity, such as the identification of likely
   interacting plant-pollinator pairs and the number of pollinating
   species.}},
Publisher = {{WILEY}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Review}},
Language = {{English}},
Affiliation = {{Millard, JW (Corresponding Author), UCL, Dept Genet Evolut \& Environm, London, England.
   Millard, JW (Corresponding Author), Zool Soc London, Inst Zool, London, England.
   Millard, Joseph W.; Newbold, Tim, UCL, Dept Genet Evolut \& Environm, London, England.
   Millard, Joseph W.; Freeman, Robin, Zool Soc London, Inst Zool, London, England.}},
DOI = {{10.1111/ecog.04532}},
Early Access Date = {{OCT 2019}},
ISSN = {{0906-7590}},
EISSN = {{1600-0587}},
Keywords = {{animal pollination; ecological systematic review; global biodiversity;
   named-entity recognition; pollination ecology; text-analysis}},
Keywords-Plus = {{GLOBAL BIODIVERSITY; SYSTEMATIC REVIEWS; CONSERVATION; DIVERSITY;
   INFORMATICS; DECLINES; ECOLOGY; SCIENCE; WESTERN; TRENDS}},
Research-Areas = {{Biodiversity \& Conservation; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Biodiversity Conservation; Ecology}},
Author-Email = {{joseph.millard.17@ucl.ac.uk}},
ResearcherID-Numbers = {{Newbold, Tim/R-8958-2019
   }},
ORCID-Numbers = {{Newbold, Tim/0000-0001-7361-0051
   Millard, Joseph/0000-0002-3025-3565}},
Funding-Acknowledgement = {{London NERC DTP {[}NE/R012148/1]; RSPB on a CASE studentship; Royal
   Society University Research FellowshipRoyal Society of London; UK
   Natural Environment Research CouncilNERC Natural Environment Research
   Council {[}NE/R010811/1]}},
Funding-Text = {{JM was funded by the London NERC DTP, award number NE/R012148/1, and the
   RSPB on a CASE studentship. TN was supported by a Royal Society
   University Research Fellowship and a grant from the UK Natural
   Environment Research Council (grant number: NE/R010811/1).}},
Cited-References = {{Aizen MA, 2009, CURR BIOL, V19, P915, DOI 10.1016/j.cub.2009.03.071.
   Akella LM, 2012, BMC BIOINFORMATICS, V13, DOI 10.1186/1471-2105-13-211.
   Amano Tatsuya, 2016, PLoS Biol, V14, pe2000933, DOI 10.1371/journal.pbio.2000933.
   Archer CR, 2014, OIKOS, V123, P401, DOI 10.1111/j.1600-0706.2013.00949.x.
   Bartomeus L. R., 2018, PHIL T R SOC B, V374, P1763.
   Beaman Reed S., 2003, Telopea, V10, P43.
   Beckmann M, 2012, J VEG SCI, V23, P1197, DOI 10.1111/j.1654-1103.2012.01454.x.
   Biesmeijer JC, 2006, SCIENCE, V313, P351, DOI 10.1126/science.1127863.
   Butchart SHM, 2010, SCIENCE, V328, P1164, DOI 10.1126/science.1187512.
   Chiang YY, 2017, COMM COM INF SC, V709, P111, DOI 10.1007/978-981-10-4859-3\_11.
   Cohen KB, 2008, PLOS COMPUT BIOL, V4, DOI 10.1371/journal.pcbi.0040020.
   Correia RA, 2018, ECOL INDIC, V90, P74, DOI 10.1016/j.ecolind.2018.02.059.
   Correia RA, 2017, ECOL INDIC, V78, P549, DOI 10.1016/j.ecolind.2017.03.052.
   CRAN, 2018, TAX TAX INF WEB R PA.
   De Palma A, 2016, SCI REP-UK, V6, DOI 10.1038/srep31153.
   DIgnazio C, 2014, CLIFF CLAVIN DETERMI.
   Dukas R, 2003, OIKOS, V101, P157, DOI 10.1034/j.1600-0706.2003.12143.x.
   Elbasiouny H, 2014, CATENA, V113, P70, DOI 10.1016/j.catena.2013.09.008.
   Endress PK, 2001, INT J PLANT SCI, V162, P1111, DOI 10.1086/321919.
   Hamel RE, 2007, AILA REV, V20, P53, DOI 10.1075/aila.20.06ham.
   Ferreira C., 2015, BIOL REV, V91, P3.
   Fleming TH, 2008, J BIOGEOGR, V35, P764, DOI 10.1111/j.1365-2699.2007.01833.x.
   Fleming TH, 2009, ANN BOT-LONDON, V104, P1017, DOI 10.1093/aob/mcp197.
   Genersch E, 2010, APIDOLOGIE, V41, P332, DOI 10.1051/apido/2010014.
   Ghazoul J, 2005, TRENDS ECOL EVOL, V20, P367, DOI 10.1016/j.tree.2005.04.026.
   Ghazoul J, 2015, SCIENCE, V348, P981, DOI 10.1126/science.348.6238.981-b.
   Goulson D, 2008, ANNU REV ENTOMOL, V53, P191, DOI 10.1146/annurev.ento.53.103106.093454.
   Goulson D, 2003, J FOOD AGRIC ENVIRON, V1, P142.
   Goulson D, 2015, SCIENCE, V347, DOI 10.1126/science.1255957.
   Griffiths TL, 2004, P NATL ACAD SCI USA, V101, P5228, DOI 10.1073/pnas.0307752101.
   Grimmer J, 2013, POLIT ANAL, V21, P267, DOI 10.1093/pan/mps028.
   Gritta M, 2018, LANG RESOUR EVAL, V52, P603, DOI 10.1007/s10579-017-9385-8.
   Guralnick R, 2009, BIOINFORMATICS, V25, P421, DOI 10.1093/bioinformatics/btn659.
   Gurevitch J, 2018, NATURE, V555, P175, DOI 10.1038/nature25753.
   Haddaway N. R., 2018, CONSERV BIOL, V33, P434, DOI {[}10.1101/303073, DOI 10.1101/303073].
   Hahn M, 2016, ARTHROPOD-PLANT INTE, V10, P21, DOI 10.1007/s11829-016-9414-3.
   Han F, 2012, ECOL EVOL, V2, P1949, DOI 10.1002/ece3.312.
   Imani MB, 2017, IEEE INT CONF BIG DA, P1956, DOI 10.1109/BigData.2017.8258141.
   IPBES, 2017, ASSESSMENT REPORT PO.
   Joppa LN, 2011, P ROY SOC B-BIOL SCI, V278, P554, DOI 10.1098/rspb.2010.1004.
   Kessler A, 2002, ECOLOGY, V83, P2346, DOI 10.1890/0012-9658(2002)083{[}2346:MQSOOI]2.0.CO;2.
   Klein AM, 2007, P ROY SOC B-BIOL SCI, V274, P303, DOI 10.1098/rspb.2006.3721.
   Kosior A, 2007, ORYX, V41, P79, DOI 10.1017/S0030605307001597.
   Labandeira CC, 2007, TAXON, V56, P663, DOI 10.2307/25065853.
   Lajeunesse MJ, 2016, METHODS ECOL EVOL, V7, P323, DOI 10.1111/2041-210X.12472.
   Lautenbach S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035954.
   Lavoie M.-C., 2014, COCHRANE DB SYST REV, V3, P1.
   Leary PR, 2007, BIOINFORMATICS, V23, P1434, DOI 10.1093/bioinformatics/btm109.
   LEIDNER J.L., 2011, SIGSPATIAL SPECIAL, V3, P5, DOI DOI 10.1145/2047296.2047298.
   Loh J, 2005, PHILOS T R SOC B, V360, P289, DOI 10.1098/rstb.2004.1584.
   Lortie CJ, 2014, OIKOS, V123, P897, DOI 10.1111/j.1600-0706.2013.00970.x.
   Mayer C., 2011, Journal of Pollination Ecology, V3, P8.
   Michener C.D., 2007, BEES WORLD.
   Mongeon P, 2016, SCIENTOMETRICS, V106, P213, DOI 10.1007/s11192-015-1765-5.
   Mora C, 2011, PLOS BIOL, V9, DOI 10.1371/journal.pbio.1000606.
   {*}NAT RES COUNC, 2007, STAT POLL N AM.
   New TR, 2004, J INSECT CONSERV, V8, P79, DOI 10.1023/B:JICO.0000045807.04047.bd.
   Newbold T, 2015, NATURE, V520, P45, DOI 10.1038/nature14324.
   Noriega JA, 2018, BASIC APPL ECOL, V26, P8, DOI 10.1016/j.baae.2017.09.006.
   Nunez-Mir GC, 2016, METHODS ECOL EVOL, V7, P1262, DOI 10.1111/2041-210X.12602.
   O'Mara-Eves A, 2015, SYST REV, V4, DOI 10.1186/2046-4053-4-5.
   Oldroyd BP, 1999, TRENDS ECOL EVOL, V14, P312, DOI 10.1016/S0169-5347(99)01613-4.
   Ollerton J, 2017, ANNU REV ECOL EVOL S, V48, P353, DOI 10.1146/annurev-ecolsys-110316-022919.
   Ollerton J, 2011, OIKOS, V120, P321, DOI 10.1111/j.1600-0706.2010.18644.x.
   Parr CS, 2012, TRENDS ECOL EVOL, V27, P94, DOI 10.1016/j.tree.2011.11.001.
   Pereira HM, 2010, SCIENCE, V330, P1496, DOI 10.1126/science.1196624.
   Potts SG, 2016, NATURE, V540, P220, DOI 10.1038/nature20588.
   Potts SG, 2010, TRENDS ECOL EVOL, V25, P345, DOI 10.1016/j.tree.2010.01.007.
   Potts SG, 2010, J APICULT RES, V49, P15, DOI 10.3896/IBRA.1.49.1.02.
   Proctor M, 1996, NATURAL HIST POLLINA.
   Pullin AS, 2006, CONSERV BIOL, V20, P1647, DOI 10.1111/j.1523-1739.2006.00485.x.
   Raguso RA, 2002, ANIM BEHAV, V64, P685, DOI 10.1006/anbe.2002.4010.
   Rathbone J, 2015, SYST REV, V4, DOI 10.1186/2046-4053-4-6.
   Rech AR, 2016, PLANT ECOL DIVERS, V9, P253, DOI 10.1080/17550874.2016.1207722.
   Regan EC, 2015, CONSERV LETT, V8, P397, DOI 10.1111/conl.12162.
   Riddiford LM, 2003, INSECT BIOCHEM MOLEC, V33, P1327, DOI 10.1016/j.ibmb.2003.06.001.
   Roll U, 2018, CONSERV BIOL, V32, P716, DOI 10.1111/cobi.13044.
   Roskov Y, 2017, SPECIES 2000 ITIS CA.
   Sarkar IN, 2007, BRIEF BIOINFORM, V8, P347, DOI 10.1093/bib/bbm037.
   Scopus, 2018, SCOPUS CONTENT POLIC.
   SEMMENS TD, 1993, J AUST ENTOMOL SOC, V32, P346.
   Shemilt I, 2014, RES SYNTH METHODS, V5, P31, DOI 10.1002/jrsm.1093.
   Ssymank Axel, 2008, BIODIVERSITY-OTTAWA, V9, P86.
   Steffan-Dewenter I, 2008, J APPL ECOL, V45, P737, DOI 10.1111/j.1365-2664.2008.01483.x.
   Stokstad E, 2007, SCIENCE, V316, P970, DOI 10.1126/science.316.5827.970.
   Tamaddoni-Nezhad A, 2013, ADV ECOL RES, V49, P225, DOI 10.1016/B978-0-12-420002-9.00004-4.
   Tardy Christine, 2004, J ENGL ACAD PURP, V3, P247, DOI {[}DOI 10.1016/J.JEAP.2003.10.001, 10.1016/j.jeap.2003.10.001].
   Thessen Anne E., 2012, Advances in Bioinformatics, V2012, P391574, DOI 10.1155/2012/391574.
   Tittensor DP, 2014, SCIENCE, V346, P241, DOI 10.1126/science.1257484.
   vanEngelsdorp D, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006481.
   Vanengelsdorp D, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0004071.
   Velthuis HHW, 2006, APIDOLOGIE, V37, P421, DOI 10.1051/apido:2006019.
   Vit P, 2004, BEE WORLD, V85, P2, DOI 10.1080/0005772X.2004.11099603.
   Wardhaugh CW, 2015, ARTHROPOD-PLANT INTE, V9, P547, DOI 10.1007/s11829-015-9398-4.
   Westergaard D., 2018, PLOS COMPUT BIOL, V14, P2.
   Westgate M. J., 2018, REVTOOLS BIBLIO DATA, DOI {[}10.1101/262881, DOI 10.1101/262881].
   Westgate MJ, 2018, NAT ECOL EVOL, V2, P588, DOI 10.1038/s41559-018-0502-x.
   Westgate MJ, 2017, CONSERV BIOL, V31, P1002, DOI 10.1111/cobi.12890.
   Westgate MJ, 2015, CONSERV BIOL, V29, P1606, DOI 10.1111/cobi.12605.
   Whitfield CW, 2006, SCIENCE, V314, P642, DOI 10.1126/science.1132772.
   Winfree R, 2011, ANNU REV ECOL EVOL S, V42, P1, DOI 10.1146/annurev-ecolsys-102710-145042.
   Woodcock BA, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12459.}},
Number-of-Cited-References = {{102}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{4}},
Usage-Count-Since-2013 = {{15}},
Journal-ISO = {{Ecography}},
Doc-Delivery-Number = {{JZ7HD}},
Unique-ID = {{ISI:000490917800001}},
OA = {{DOAJ Gold, Green Published}},
DA = {{2020-11-05}},
}

@article{ ISI:000490089800001,
Author = {Issaly, E. A. and Sersic, A. N. and Pauw, A. and Cocucci, A. A. and
   Traveset, A. and Benitez-Vieyra, S. M. and Paiaro, V.},
Title = {{Reproductive ecology of the bird-pollinated Nicotiana glauca across
   native and introduced ranges with contrasting pollination environments}},
Journal = {{BIOLOGICAL INVASIONS}},
Year = {{2020}},
Volume = {{22}},
Number = {{2}},
Pages = {{485-498}},
Month = {{FEB}},
Abstract = {{Introduced plants become decoupled from their usual pollinators and by
   relying on resident pollinator species or other reproductive strategies
   become established in new areas, spread and, eventually, invade. Here,
   using breeding system experiments, we studied the reproductive biology
   of the bird-pollinated South American species Nicotiana glauca across
   native and non-native areas, both inside and outside the range of
   flower-visiting birds. In the native range, where the species is visited
   by hummingbirds, open cross-pollinated flowers set as many seeds and
   almost as many fruits as open pollination controls, suggesting that
   pollinators make a major contribution to reproductive success. In South
   Africa, the flowers were pollinated by sunbirds which, although less
   efficiently, also contributed to N. glauca reproduction, replacing
   hummingbirds. In contrast, in Mallorca, where nectar feeding birds are
   absent, fruit production in open cross-pollinated flowers was near zero,
   and significantly lower than in open pollination controls, suggesting
   that reproduction is almost entirely by autonomous self-pollination.
   Hand-pollination experiments showed that the species is self-compatible
   throughout its range. Pollinator exclusion experiment showed that N.
   glauca relies on self-pollination only in pollinator poor areas, where
   plants have a much higher capacity for autonomous self-pollination than
   elsewhere. A reduction in anther-stigma distance does not seem to
   account the higher self-pollination capacity in the non-native
   environment without pollinators. Despite probable evolutionary
   adaptation, and flexibility in pollinator association and mating system,
   seed production in the introduced range was somewhat pollen limited,
   suggesting that the mismatch between N. glauca and its novel pollination
   environment might retard invasion.}},
Publisher = {{SPRINGER}},
Address = {{VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Paiaro, V (Corresponding Author), Univ Nacl Cordoba, Inst Multidisciplinario Biol Vegetal IMBIV, CONICET, Ave Velez Sarsfield 1611,CC 495, RA-5000 Cordoba, Argentina.
   Issaly, E. A.; Sersic, A. N.; Cocucci, A. A.; Benitez-Vieyra, S. M.; Paiaro, V., Univ Nacl Cordoba, Inst Multidisciplinario Biol Vegetal IMBIV, CONICET, Ave Velez Sarsfield 1611,CC 495, RA-5000 Cordoba, Argentina.
   Pauw, A., Stellenbosch Univ, Dept Bot \& Zool, Private Bag X1, ZA-7602 Matieland, South Africa.
   Traveset, A., UIB, Inst Mediterraneo Estudios Avanzados, CSIC, C Miquel Marques 21, Mallorca 07190, Balearic Island, Spain.}},
DOI = {{10.1007/s10530-019-02104-8}},
Early Access Date = {{OCT 2019}},
ISSN = {{1387-3547}},
EISSN = {{1573-1464}},
Keywords = {{Herkogamy; Hummingbirds; Plant invasion; Reproductive assurance;
   Self-pollination; Sunbirds}},
Keywords-Plus = {{AUTONOMOUS SELF-FERTILIZATION; POLLEN LIMITATION; INVASIVE PLANT;
   GEOGRAPHICAL VARIATION; SPECIES TRAITS; FLORAL TRAITS; ALIEN PLANTS;
   TREE TOBACCO; COMPATIBILITY; INTEGRATION}},
Research-Areas = {{Biodiversity \& Conservation; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Biodiversity Conservation; Ecology}},
Author-Email = {{vpaiaro@gmail.com}},
ResearcherID-Numbers = {{Benitez-Vieyra, Santiago/AAT-3076-2020
   }},
ORCID-Numbers = {{Benitez-Vieyra, Santiago/0000-0003-4116-7969
   Cocucci, Andrea/0000-0002-3464-3309}},
Funding-Acknowledgement = {{National Research Council of Argentina (CONICET)Consejo Nacional de
   Investigaciones Cientificas y Tecnicas (CONICET); National Ministry of
   Science and Technology of Argentina; Department of Science and
   Technology of South Africa; Spanish Research Council (CSIC)Consejo
   Superior de Investigaciones Cientificas (CSIC)}},
Funding-Text = {{We thank M.C. Baranzelli, G. Bertone, A. Bonino, R. Castro, A. Coetzee,
   M.C. Diaz-Velez, M.C. Maubecin, X. Rotllan Puig, F. Sazatornil, C. Tur,
   and C. Vignolo Pena for assistance in the field work, and C. Vignolo
   Pena for assistance in the lab. Funding for this research was provided
   by the National Research Council of Argentina (CONICET), the National
   Ministry of Science and Technology of Argentina, the Department of
   Science and Technology of South Africa and the Spanish Research Council
   (CSIC).}},
Cited-References = {{Amsellem L, 2001, AM J BOT, V88, P2243, DOI 10.2307/3558386.
   {[}Anonymous], 2017, R LANG ENV STAT COMP.
   Baker H.G., 1974, ANNU REV ECOL SYST, V5, P1, DOI {[}10.1146/annurev.es.05.110174.000245, DOI 10.1146/ANNUREV.ES.05.110174.000245].
   BAKER HG, 1955, EVOLUTION, V9, P347, DOI 10.2307/2405656.
   Barrett SCH, 2008, MOL ECOL, V17, P373, DOI 10.1111/j.1365-294X.2007.03503.x.
   Barrett SCH, 2011, FIFTY YEARS OF INVASION ECOLOGY: THE LEGACY OF CHARLES ELTON, P195.
   Barthell JF, 2001, ECOL APPL, V11, P1870, DOI 10.1890/1051-0761(2001)011{[}1870:POSSIY]2.0.CO;2.
   Bartomeus I, 2009, AUST J BOT, V57, P109, DOI 10.1071/BT08169.
   Bates Douglas, 2015, ARXIV150604967.
   Bossdorf O, 2005, OECOLOGIA, V144, P1, DOI 10.1007/s00442-005-0070-z.
   Bromilow C, 2001, 1 IMPRESSION PROBLEM.
   Brown JS, 2005, AM J BOT, V92, P495, DOI 10.3732/ajb.92.3.495.
   Burns JH, 2011, OECOLOGIA, V166, P1009, DOI 10.1007/s00442-011-1929-9.
   Cronk QCB, 1995, INVASIVE PLANTS THRE.
   Davis HG, 2004, P NATL ACAD SCI USA, V101, P13804, DOI 10.1073/pnas.0405230101.
   Dlugosch KM, 2008, MOL ECOL, V17, P431, DOI 10.1111/j.1365-294X.2007.03538.x.
   Eckert CG, 1998, AM J BOT, V85, P919, DOI 10.2307/2446357.
   GALETTO L, 1993, CAN J BOT, V71, P1394, DOI 10.1139/b93-167.
   Geerts S, 2009, S AFR J BOT, V75, P699, DOI 10.1016/j.sajb.2009.08.001.
   Geerts S, 2009, OIKOS, V118, P573, DOI 10.1111/j.1600-0706.2009.17167.x.
   Global Invasive Species Database, 2005, GLOBAL INVASIVE SPEC.
   Goodell K, 2010, INT J PLANT SCI, V171, P63, DOI 10.1086/647921.
   Goodspeed T. H., 1954, GENUS NICOTIANA ORIG.
   Grossenbacher DL, 2017, NEW PHYTOL, V215, P469, DOI 10.1111/nph.14534.
   Hierro JL, 2005, J ECOL, V93, P5, DOI 10.1111/j.0022-0477.2004.00953.x.
   Karron JD, 1997, HEREDITY, V79, P365, DOI 10.1038/hdy.1997.169.
   Knight TM, 2005, ANNU REV ECOL EVOL S, V36, P467, DOI 10.1146/annurev.ecolsys.36.102403.115320.
   Liu H, 2006, J TORREY BOT SOC, V133, P304, DOI 10.3159/1095-5674(2006)133{[}304:NAIPPA]2.0.CO;2.
   LLOYD DG, 1992, INT J PLANT SCI, V153, P358, DOI 10.1086/297040.
   Lopez-Garcia MC, 2005, BIOL INVASIONS, V7, P181, DOI 10.1007/s10530-004-8978-5.
   Malo JE, 2002, DIVERS DISTRIB, V8, P365, DOI 10.1046/j.1472-4642.2002.00161.x.
   Maruyama PK, 2016, DIVERS DISTRIB, V22, P672, DOI 10.1111/ddi.12434.
   Medel R, 2007, ECOGRAPHY, V30, P812, DOI 10.1111/j.2007.0906-7590.05175.x.
   Montero-Castano A, 2014, ACTA OECOL, V56, P1, DOI 10.1016/j.actao.2014.01.001.
   Moodley D, 2016, PLANT BIOLOGY, V18, P124, DOI 10.1111/plb.12334.
   Moragues E, 2005, ELS VEGETALS INTRO I.
   Motten AF, 2000, AM J BOT, V87, P339, DOI 10.2307/2656629.
   Nattero J, 2007, BIOL J LINN SOC, V90, P657, DOI 10.1111/j.1095-8312.2007.00756.x.
   Nattero J, 2011, ACTA OECOL, V37, P503, DOI 10.1016/j.actao.2011.07.001.
   Nattero J, 2010, OIKOS, V119, P852, DOI 10.1111/j.1600-0706.2009.17766.x.
   Oduor AMO, 2013, NEW PHYTOL, V200, P986, DOI 10.1111/nph.12429.
   Ollerton J., 2012, Journal of Pollination Ecology, V9, P85.
   Ollerton J, 2011, OIKOS, V120, P321, DOI 10.1111/j.1600-0706.2010.18644.x.
   Pannell JR, 2015, NEW PHYTOL, V208, P656, DOI 10.1111/nph.13539.
   Parker IM, 2004, P NATL ACAD SCI USA, V101, P13695, DOI 10.1073/pnas.0405787101.
   Parker IM, 2002, OECOLOGIA, V130, P250, DOI 10.1007/s004420100799.
   Parker IM, 1997, ECOLOGY, V78, P1457, DOI 10.1890/0012-9658(1997)078{[}1457:PLOCSS]2.0.CO;2.
   Petanidou T, 2018, ACTA OECOL, V89, P11, DOI 10.1016/j.actao.2018.03.008.
   Petanidou T, 2012, PERSPECT PLANT ECOL, V14, P3, DOI 10.1016/j.ppees.2011.08.003.
   PYKE GH, 1981, ANIM BEHAV, V29, P861, DOI 10.1016/S0003-3472(81)80021-8.
   Pysek P, 2012, GLOBAL CHANGE BIOL, V18, P1725, DOI 10.1111/j.1365-2486.2011.02636.x.
   Pysek P, 2011, ECOL MONOGR, V81, P277, DOI 10.1890/10-0630.1.
   Razanajatovo M, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13313.
   Richardson David M., 2000, Diversity and Distributions, V6, P93, DOI 10.1046/j.1472-4642.2000.00083.x.
   Richardson DM, 2000, BIOL REV, V75, P65, DOI 10.1017/S0006323199005435.
   Rodger JG, 2010, INT J PLANT SCI, V171, P382, DOI 10.1086/651226.
   Schueller SK, 2004, AM J BOT, V91, P672, DOI 10.3732/ajb.91.5.672.
   Suehs CM, 2005, BIOL J LINN SOC, V85, P65, DOI 10.1111/j.1095-8312.2005.00473.x.
   Takebayashi N, 2000, EVOLUTION, V54, P840, DOI 10.1111/j.0014-3820.2000.tb00084.x.
   Van Kleunen M, 2005, AM J BOT, V92, P1124, DOI 10.3732/ajb.92.7.1124.
   Van Kleunen M, 2008, AM NAT, V171, P195, DOI 10.1086/525057.
   van Kleunen M, 2018, ANNU REV ECOL EVOL S, V49, P25, DOI 10.1146/annurev-ecolsys-110617-062654.
   Vila M, 2009, P ROY SOC B-BIOL SCI, V276, P3887, DOI 10.1098/rspb.2009.1076.
   Ward M, 2012, BIOL INVASIONS, V14, P1237, DOI 10.1007/s10530-011-0152-2.
   WESTERKAMP C, 1990, BOT ACTA, V103, P366, DOI 10.1111/j.1438-8677.1990.tb00176.x.
   ZAPATA TR, 1978, BIOTROPICA, V10, P221, DOI 10.2307/2387907.
   Zuur Alain F., 2009, P1.}},
Number-of-Cited-References = {{67}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{10}},
Journal-ISO = {{Biol. Invasions}},
Doc-Delivery-Number = {{KI7YK}},
Unique-ID = {{ISI:000490089800001}},
DA = {{2020-11-05}},
}

@article{ ISI:000532477400040,
Author = {Estravis Barcala, Maria Cecilia and Palottini, Florencia and Marcelo
   Farina, Walter},
Title = {{Honey bee and native solitary bee foraging behavior in a crop with
   dimorphic parental lines}},
Journal = {{PLOS ONE}},
Year = {{2019}},
Volume = {{14}},
Number = {{10}},
Month = {{OCT 11}},
Abstract = {{Insect pollination is issential for hybrid seed production systems,
   among which, introduced and native bees are the primary pollinating
   agents transferring pollen from male fertile (MF) to male sterile (MS)
   lines. On a highly dimorphic sunflower (Helianthus annuus) crop, we
   assessed the foraging behavior of solitary Melissodes bees and honey
   bees Apis mellifera. We found that Melissodes spp. were dominant in and
   showed fidelity to MF plants, gathering sunflower pollen efficiently
   throughout the day. In contrast, honey bees dominated on MS lines,
   mostly gathered nectar and exhibited high floral constancy, even after
   interacting with a second visitor. Also, honey bees carried sunflower
   pollen on their bodies while visiting MS inflorescences. This study
   highlights the need for a thorough understanding of the factors involved
   in a pollinator-dependent agroecosystem crop to assess the contribution
   of native bees on pollination of crops which offer resources spatially
   separated in two highly dimorphic parental lines.}},
Publisher = {{PUBLIC LIBRARY SCIENCE}},
Address = {{1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Farina, WM (Corresponding Author), Univ Buenos Aires, Fac Ciencias Exactas \& Nat, Dept Biodiversidad \& Biol Expt, Lab Insectos Sociales, Buenos Aires, DF, Argentina.
   Farina, WM (Corresponding Author), Univ Buenos Aires, CONICET, Inst Fisiol Biol Mol \& Neurociencias IFIBYNE, Buenos Aires, DF, Argentina.
   Estravis Barcala, Maria Cecilia; Palottini, Florencia; Marcelo Farina, Walter, Univ Buenos Aires, Fac Ciencias Exactas \& Nat, Dept Biodiversidad \& Biol Expt, Lab Insectos Sociales, Buenos Aires, DF, Argentina.
   Estravis Barcala, Maria Cecilia; Palottini, Florencia; Marcelo Farina, Walter, Univ Buenos Aires, CONICET, Inst Fisiol Biol Mol \& Neurociencias IFIBYNE, Buenos Aires, DF, Argentina.}},
DOI = {{10.1371/journal.pone.0223865}},
Article-Number = {{e0223865}},
ISSN = {{1932-6203}},
Keywords-Plus = {{SUNFLOWERS HELIANTHUS-ANNUUS; APIS-MELLIFERA; SPECIES RICHNESS;
   MALE-STERILE; FRUIT-SET; WILD BEES; POLLINATION; POLLEN; HYMENOPTERA;
   POPULATION}},
Research-Areas = {{Science \& Technology - Other Topics}},
Web-of-Science-Categories  = {{Multidisciplinary Sciences}},
Author-Email = {{walter@fbmc.fcen.uba.ar}},
ORCID-Numbers = {{Farina, Walter/0000-0001-6411-489X
   Estravis Barcala, Maria Cecilia/0000-0001-7922-7723}},
Funding-Acknowledgement = {{ANPCYTANPCyT; University of Buenos AiresUniversity of Buenos Aires;
   CONICETConsejo Nacional de Investigaciones Cientificas y Tecnicas
   (CONICET); Fondo para la Investigacion Cientifica y Tecnologica {[}PICT
   2016 2084]}},
Funding-Text = {{This study was partly supported by grants from ANPCYT, University of
   Buenos Aires, CONICET, and Fondo para la Investigacion Cientifica y
   Tecnologica (PICT 2016 2084) to W.M. F. The funders had no role in study
   design, data collection and analysis, decision to publish, or
   preparation of the manuscript.; The authors are grateful to PhD Roig
   Alsina (CONICET researcher) for his collaboration in the taxonomic
   determination of hymenopterans. Special thanks to Pinto y Girones SRL
   for access to the field. They also thank the CONICET and the University
   of Buenos Aires for support.}},
Cited-References = {{Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01.
   Brosi BJ, 2013, P NATL ACAD SCI USA, V110, P13044, DOI 10.1073/pnas.1307438110.
   Carvalheiro LG, 2011, ECOL LETT, V14, P251, DOI 10.1111/j.1461-0248.2010.01579.x.
   Chambers JM, 1992, STAT MODELS S.
   Cilla G, 2012, GRANA, V51, P63, DOI 10.1080/00173134.2011.644324.
   DeGrandi-Hoffman G, 2000, J APICULT RES, V39, P37, DOI 10.1080/00218839.2000.11101019.
   DeGrandi-Hoffman G, 1995, J APICULT RES, V34, P109.
   Degrandi-Hoffman G, 2006, ENVIRON ENTOMOL, V35, P1103, DOI 10.1603/0046-225X-35.4.1103.
   DEGRANDIHOFFMAN G, 1993, J APICULT RES, V32, P135, DOI 10.1080/00218839.1993.11101298.
   DEGRANDIHOFFMAN G, 1992, J APPL ECOL, V29, P238, DOI 10.2307/2404366.
   FAO, FAO UN FAOSTATS.
   Fijen TPM, 2018, ECOL LETT, V21, P1704, DOI 10.1111/ele.13150.
   Gabai-Hazera A, 2018, ISF WORKING GROUP VE.
   Garibaldi LA, 2013, SCIENCE, V339, P1608, DOI 10.1126/science.1230200.
   Greenleaf SS, 2006, P NATL ACAD SCI USA, V103, P13890, DOI 10.1073/pnas.0600929103.
   Gumbert A, 1999, BIOTROPICA, V31, P466, DOI 10.1111/j.1744-7429.1999.tb00389.x.
   Ishii HS, 2006, FUNCT ECOL, V20, P233, DOI 10.1111/j.1365-2435.2006.01106.x.
   Klein AM, 2007, P ROY SOC B-BIOL SCI, V274, P303, DOI 10.1098/rspb.2006.3721.
   Louveaux J., 1959, ANN ABEILLE, V1, P13.
   Mallinger RE, 2017, J APPL ENTOMOL, V141, P561, DOI 10.1111/jen.12375.
   Mallinger RE, 2019, J ECON ENTOMOL, V112, P40, DOI 10.1093/jee/toy322.
   Mallinger RE, 2015, J APPL ECOL, V52, P323, DOI 10.1111/1365-2664.12377.
   McDonald JH, 2014, HDB BIOL STAT.
   McGregor S.E., 1976, INSECT POLLINATION C, V496.
   Parker AJ, 2016, ECOL EVOL, V6, P5169, DOI 10.1002/ece3.2252.
   PARKER FD, 1981, ENVIRON ENTOMOL, V10, P1012, DOI 10.1093/ee/10.6.1012.
   Pinheiro J, 2018, NLME LINEAR NONLINEA, V3, P1, DOI DOI 10.1111/J.1654-1103.2009.05548.X.
   R Core Team, 2018, R LANG ENV STAT COMP.
   Rader R, 2016, P NATL ACAD SCI USA, V113, P146, DOI 10.1073/pnas.1517092112.
   Sapkale R. B., 2016, International Journal of Plant Sciences (Muzaffarnagar), V11, P22.
   Sardinas HS, 2015, AGR ECOSYST ENVIRON, V207, P17, DOI 10.1016/j.agee.2015.03.020.
   Sokal RR, 1995, BIOMETRY PRINCIPLES, P715.
   Martin CS, 2016, APIDOLOGIE, V47, P161, DOI 10.1007/s13592-015-0384-8.
   TEPEDINO VJ, 1982, ENVIRON ENTOMOL, V11, P246, DOI 10.1093/ee/11.1.246.
   Torretta Juan P., 2010, Rev. Soc. Entomol. Argent., V69, P17.
   Vaissiere B, 2011, PROTOCOL DETECT ASSE.
   Vear F, 2016, OCL OILS FAT CROP LI, V23, DOI 10.1051/ocl/2016006.
   Venables WN, 2002, MODERN APPL STAT S, P495.
   von Frisch K., 1967, DANCE LANGUAGE ORIEN.
   Winfree R, 2015, ECOL LETT, V18, P626, DOI 10.1111/ele.12424.}},
Number-of-Cited-References = {{40}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{0}},
Journal-ISO = {{PLoS One}},
Doc-Delivery-Number = {{LM8DE}},
Unique-ID = {{ISI:000532477400040}},
OA = {{DOAJ Gold, Green Published}},
DA = {{2020-11-05}},
}

@article{ ISI:000506835300020,
Author = {Campbell, Joshua W. and Bammer, Mary and Bustamante, Tomas A. and Ellis,
   James D.},
Title = {{The Health of Commercial Bombus impatiens (Hymenoptera: Apidae) Colonies
   After Foraging in Florida Watermelon and Blueberry}},
Journal = {{ENVIRONMENTAL ENTOMOLOGY}},
Year = {{2019}},
Volume = {{48}},
Number = {{5}},
Pages = {{1197-1202}},
Month = {{OCT}},
Abstract = {{Bumble bees are commonly used to provide pollination services within
   crop fields and greenhouses, with Bombus impatiens Cresson; Hymenoptera:
   Apidae, a bee native to the eastern United States, being the only
   managed bumble bee available commercially in the United States. Although
   many researchers have explored managed bumble bees' ability to pollinate
   various crops and the potential spread of pathogens by managed bumble
   bees, scant research is available on how managed bumble bee colony
   health is affected after foraging within crop fields. We measured 10 B.
   impatiens colony health parameters: 1) colony weight; number of 2)
   honey/pollen pots, 3) workers, 4) queens, 5) drones, 6) immatures, 7)
   eggs; and weight of 8) workers, 9) drones, and 10) queens from colonies
   that foraged within blueberry or watermelon fields, and compared them to
   control colonies that were purchased and immediately frozen upon
   receipt. Bees that foraged within blueberry increased in colony weight
   and in the number of immatures and eggs during the bloom period compared
   to control colonies. In contrast, bee colonies placed within watermelon
   decreased in colony weight, number of workers and immature bees, and
   individual bee weight compared to control colonies. Blueberry appeared
   to provide bees with sufficient nectar and pollen, whereas watermelon
   may not have provided adequate resources for the bees. Bees foraging
   within watermelon were probably forced to search for other sources of
   pollen and nectar, resulting in colony health parameter declines. Our
   data suggest that some crops (e.g., blueberry) can support managed B.
   impatiens, potentially adding to localized bumble bee populations, while
   others (e.g., watermelon) cannot.}},
Publisher = {{OXFORD UNIV PRESS INC}},
Address = {{JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Campbell, JW (Corresponding Author), Auburn Univ, Dept Entomol \& Plant Pathol, 301 Funchess Hall, Auburn, AL 36849 USA.
   Campbell, Joshua W., Auburn Univ, Dept Entomol \& Plant Pathol, 301 Funchess Hall, Auburn, AL 36849 USA.
   Bammer, Mary; Bustamante, Tomas A.; Ellis, James D., Univ Florida, Entomol \& Nematol Dept, Steinmetz Hall,Nat Area Dr, Gainesville, FL 32611 USA.}},
DOI = {{10.1093/ee/nvz081}},
ISSN = {{0046-225X}},
EISSN = {{1938-2936}},
Keywords = {{bumble bee; crop pollination; managed bee; colony health}},
Keywords-Plus = {{BUMBLE BEES; HONEY-BEES; WILD; POLLINATORS; RESOURCES; DIVERSITY;
   REPRODUCTION; TERRESTRIS; VACCINIUM; HABITAT}},
Research-Areas = {{Entomology}},
Web-of-Science-Categories  = {{Entomology}},
Author-Email = {{jwc0062@auburn.edu}},
ORCID-Numbers = {{Campbell, Josh/0000-0001-9314-9119}},
Funding-Acknowledgement = {{U.S. Department of Agriculture-National Institute for Food and
   Agriculture Specialty Crop Research Initiative {[}2012-01534]}},
Funding-Text = {{Funding was provided by the U.S. Department of Agriculture-National
   Institute for Food and Agriculture Specialty Crop Research Initiative
   (http://nifa.usda.gov), from project 2012-01534: Developing Sustainable
   Pollination Strategies for U.S Specialty Crops. We thank C.
   Stanley-Stahr, A. Irvin, H. Irvin, S. Pelkey, C. Smithers, and B. Garrow
   for lab and field assistance.}},
Cited-References = {{Berenbaum M. R., 2007, STATUS POLLINATORS N.
   Bernauer OM, 2015, INSECTS, V6, P478, DOI 10.3390/insects6020478.
   Campbell JW, 2017, ENVIRON ENTOMOL, V46, P237, DOI 10.1093/ee/nvx044.
   Campbell JW, 2019, J APICULT RES, V58, P597, DOI 10.1080/00218839.2019.1614271.
   Campbell JW, 2018, J ECON ENTOMOL, V111, P989, DOI 10.1093/jee/toy008.
   Colla SR, 2006, BIOL CONSERV, V129, P461, DOI 10.1016/j.biocon.2005.11.013.
   Dicks LV, 2015, ECOL ENTOMOL, V40, P22, DOI 10.1111/een.12226.
   Franklin MT, 2004, J ECON ENTOMOL, V97, P369, DOI 10.1603/0022-0493-97.2.369.
   FUSSELL M, 1992, J APPL ECOL, V29, P451, DOI 10.2307/2404513.
   Goulson D, 2010, APPL ENTOMOL ZOOL, V45, P7, DOI 10.1303/aez.2010.7.
   HAWKER JS, 1983, AUST J PLANT PHYSIOL, V10, P257, DOI 10.1071/PP9830257.
   Herrmann F, 2007, MOL ECOL, V16, P1167, DOI 10.1111/j.1365-294X.2007.03226.x.
   Herrmann JD, 2017, APIDOLOGIE, V48, P545, DOI 10.1007/s13592-017-0499-1.
   Hines HM, 2005, ENVIRON ENTOMOL, V34, P1477, DOI 10.1603/0046-225X-34.6.1477.
   Hothorn T, 2008, BIOMETRICAL J, V50, P346, DOI 10.1002/bimj.200810425.
   Ings TC, 2005, ENTOMOL GEN, V28, P233.
   Jonsson AM, 2015, BIOL CONSERV, V184, P51, DOI 10.1016/j.biocon.2014.12.027.
   Kearns CA, 2001, NATURAL HIST BUMBLEB.
   Korpela EL, 2013, AGR ECOSYST ENVIRON, V179, P18, DOI 10.1016/j.agee.2013.07.001.
   Macfarlane R. P., 1995, WISC CANBERRY SCH P, V6, P1.
   Maynard D. N., 1996, GROWING SEEDLESS WAT.
   McFrederick QS, 2006, BIOL CONSERV, V129, P372, DOI 10.1016/j.biocon.2005.11.004.
   Nicholls CI, 2013, AGRON SUSTAIN DEV, V33, P257, DOI 10.1007/s13593-012-0092-y.
   Petersen JL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0054997.
   R Core Team, 2017, R LANG ENV STAT COMP.
   Ratti CM, 2008, CAN ENTOMOL, V140, P348.
   Ratti CM, 2010, PAN-PAC ENTOMOL, V86, P29, DOI 10.3956/2009-19.1.
   Roulston TH, 2011, ANNU REV ENTOMOL, V56, P293, DOI 10.1146/annurev-ento-120709-144802.
   Sachman-Ruiz B, 2015, BIOL INVASIONS, V17, P2043, DOI 10.1007/s10530-015-0859-6.
   SCHAFFER WM, 1983, ECOLOGY, V64, P564, DOI 10.2307/1939976.
   Schmid-Hempel R, 1998, FUNCT ECOL, V12, P22, DOI 10.1046/j.1365-2435.1998.00153.x.
   Scholer J, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0091573.
   Singh R, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0014357.
   Spiesman BJ, 2017, BIOL CONSERV, V206, P217, DOI 10.1016/j.biocon.2016.12.008.
   Stanghellini MS, 2002, J APICULT RES, V41, P27, DOI 10.1080/00218839.2002.11101065.
   Stubbs CS, 1997, ACTA HORTIC, P341, DOI 10.17660/ActaHortic.1997.437.42.
   Suni SS, 2017, CONSERV GENET, V18, P667, DOI 10.1007/s10592-017-0955-5.
   Thomson D, 2004, ECOLOGY, V85, P458, DOI 10.1890/02-0626.
   Tuell JK, 2010, J ECON ENTOMOL, V103, P557, DOI 10.1603/EC09387.
   Vaudo AD, 2018, ECOL EVOL, V8, P5765, DOI 10.1002/ece3.4115.
   Venables WN, 2002, MODERN APPL STAT S, P495.
   Whittington R, 2004, J ECON ENTOMOL, V97, P1384, DOI 10.1603/0022-0493-97.4.1384.
   Whittington R, 2004, CAN J PLANT SCI, V84, P599, DOI 10.4141/P02-192.}},
Number-of-Cited-References = {{43}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{10}},
Journal-ISO = {{Environ. Entomol.}},
Doc-Delivery-Number = {{KB9VJ}},
Unique-ID = {{ISI:000506835300020}},
DA = {{2020-11-05}},
}

@article{ ISI:000501734200016,
Author = {Jones, Julia C. and Wallberg, Andreas and Christmas, Matthew J. and
   Kapheim, Karen M. and Webster, Matthew T.},
Title = {{Extreme Differences in Recombination Rate between the Genomes of a
   Solitary and a Social Bee}},
Journal = {{MOLECULAR BIOLOGY AND EVOLUTION}},
Year = {{2019}},
Volume = {{36}},
Number = {{10}},
Pages = {{2277-2291}},
Month = {{OCT}},
Abstract = {{Social insect genomes exhibit the highest rates of crossing over
   observed in plants and animals. The evolutionary causes of these extreme
   rates are unknown. Insight can be gained by comparing recombination rate
   variation across the genomes of related social and solitary insects.
   Here, we compare the genomic recombination landscape of the highly
   social honey bee, Apis mellifera, with the solitary alfalfa leafcutter
   bee, Megachile rotundata, by analyzing patterns of linkage
   disequilibrium in population-scale genome sequencing data. We infer that
   average recombination rates are extremely elevated in A. mellifera
   compared with M. rotundata. However, our results indicate that similar
   factors control the distribution of crossovers in the genomes of both
   species. Recombination rate is significantly reduced in coding regions
   in both species, with genes inferred to be germline methylated having
   particularly low rates. Genes with worker-biased patterns of expression
   in A. mellifera and their orthologs in M. rotundata have higher than
   average recombination rates in both species, suggesting that selection
   for higher diversity in genes involved in worker caste functions in
   social taxa is not the explanation for these elevated rates.
   Furthermore, we find no evidence that recombination has modulated the
   efficacy of selection among genes during bee evolution, which does not
   support the hypothesis that high recombination rates facilitated
   positive selection for new functions in social insects. Our results
   indicate that the evolution of sociality in insects likely entailed
   selection on modifiers that increased recombination rates genome wide,
   but that the genomic recombination landscape is determined by the same
   factors.}},
Publisher = {{OXFORD UNIV PRESS}},
Address = {{GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Webster, MT (Corresponding Author), Uppsala Univ, Dept Med Biochem \& Microbiol, Uppsala, Sweden.
   Jones, Julia C.; Wallberg, Andreas; Christmas, Matthew J.; Webster, Matthew T., Uppsala Univ, Dept Med Biochem \& Microbiol, Uppsala, Sweden.
   Kapheim, Karen M., Utah State Univ, Dept Biol, Logan, UT 84322 USA.}},
DOI = {{10.1093/molbev/msz130}},
ISSN = {{0737-4038}},
EISSN = {{1537-1719}},
Keywords = {{recombination; linkage disequilibrium; Hymenoptera; social insect;
   Megachile rotundata; Apis mellifera}},
Keywords-Plus = {{BIASED GENE CONVERSION; MEIOTIC RECOMBINATION; DNA METHYLATION;
   CROSSING-OVER; LINKAGE DISEQUILIBRIUM; X-CHROMOSOME; GC CONTENT;
   EVOLUTION; HONEYBEE; SELECTION}},
Research-Areas = {{Biochemistry \& Molecular Biology; Evolutionary Biology; Genetics \&
   Heredity}},
Web-of-Science-Categories  = {{Biochemistry \& Molecular Biology; Evolutionary Biology; Genetics \&
   Heredity}},
Author-Email = {{matthew.webster@imbim.uu.se}},
ResearcherID-Numbers = {{Jones, Julia C/P-2339-2016}},
ORCID-Numbers = {{Webster, Matthew/0000-0003-1141-2863
   Jones, Julia C/0000-0002-3557-1941}},
Funding-Acknowledgement = {{Swedish Research Council FormasSwedish Research CouncilSwedish Research
   Council Formas {[}2013-722]; Swedish Research Council
   VetenskapsradetSwedish Research Council {[}2014-5096]; Utah Agricultural
   Experiment Station project {[}1297]; USDA-NIFAUnited States Department
   of Agriculture (USDA) {[}2018-67014-27542]}},
Funding-Text = {{The new sequences from M. rotundata reported in this manuscript have
   been deposited in the GenBank SRA accession: PRJNA508875. This research
   was supported by the Swedish Research Council Formas (2013-722 to
   M.T.W.), the Swedish Research Council Vetenskapsradet (2014-5096 to
   M.T.W.), the Utah Agricultural Experiment Station project 1297 (K.M.K.),
   and USDA-NIFA (2018-67014-27542 to K.M.K.).}},
Cited-References = {{Auton A, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003984.
   Auton A, 2012, SCIENCE, V336, P193, DOI 10.1126/science.1216872.
   Axelsson E, 2012, GENOME RES, V22, P51, DOI 10.1101/gr.124123.111.
   Backstrom N, 2010, GENOME RES, V20, P485, DOI 10.1101/gr.101410.109.
   BARTON NH, 1995, GENETICS, V140, P821.
   Baudat F, 2013, NAT REV GENET, V14, P794, DOI 10.1038/nrg3573.
   Beadle GW, 1932, P NATL ACAD SCI USA, V18, P160, DOI 10.1073/pnas.18.2.160.
   BEGUN DJ, 1992, NATURE, V356, P519, DOI 10.1038/356519a0.
   Berg IL, 2010, NAT GENET, V42, P859, DOI 10.1038/ng.658.
   Bewick AJ, 2017, MOL BIOL EVOL, V34, P654, DOI 10.1093/molbev/msw264.
   Beye M, 2006, GENOME RES, V16, P1339, DOI 10.1101/gr.5680406.
   Branstetter MG, 2017, CURR BIOL, V27, P1019, DOI 10.1016/j.cub.2017.03.027.
   Bullaughey K, 2008, GENOME RES, V18, P544, DOI 10.1101/gr.071548.107.
   Campos JL, 2014, MOL BIOL EVOL, V31, P1010, DOI 10.1093/molbev/msu056.
   Cardinal S, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.2686.
   Christmas MJ, 2019, MOL ECOL, V28, P1358, DOI 10.1111/mec.14944.
   Comeron JM, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1002905.
   Coop G, 2008, SCIENCE, V319, P1395, DOI 10.1126/science.1151851.
   Coop G, 2007, NAT REV GENET, V8, P23, DOI 10.1038/nrg1947.
   Crozier RH, 2001, ANN ZOOL FENN, V38, P267.
   Cutter AD, 2013, NAT REV GENET, V14, P262, DOI 10.1038/nrg3425.
   Drewell RA, 2014, DEVELOPMENT, V141, P2702, DOI 10.1242/dev.110163.
   DUNCAN BK, 1980, NATURE, V287, P560, DOI 10.1038/287560a0.
   Duret L, 2009, ANNU REV GENOM HUM G, V10, P285, DOI 10.1146/annurev-genom-082908-150001.
   Eden E, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-48.
   Elango N, 2009, P NATL ACAD SCI USA, V106, P11206, DOI 10.1073/pnas.0900301106.
   Elsik CG, 2014, BMC GENOMICS, V15, DOI 10.1186/1471-2164-15-86.
   EYREWALKER A, 1993, P ROY SOC B-BIOL SCI, V252, P237, DOI 10.1098/rspb.1993.0071.
   FELSENSTEIN J, 1974, GENETICS, V78, P737.
   Fewell JH, 2000, BEHAV ECOL SOCIOBIOL, V48, P173, DOI 10.1007/s002650000183.
   FEWELL JH, 1993, EXPERIENTIA, V49, P1106, DOI 10.1007/BF01929923.
   Foret S, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-472.
   Fullerton SM, 2001, MOL BIOL EVOL, V18, P1139, DOI 10.1093/oxfordjournals.molbev.a003886.
   Galtier N, 2003, TRENDS GENET, V19, P65, DOI 10.1016/S0168-9525(02)00002-1.
   Garrison E, 2012, HAPLOTYPE BASED VARI.
   Glastad KM, 2017, GENOME BIOL EVOL, V9, P1687, DOI 10.1093/gbe/evx128.
   Grabherr MG, 2010, BIOINFORMATICS, V26, P1145, DOI 10.1093/bioinformatics/btq102.
   Grozinger CM, 2007, MOL ECOL, V16, P4837, DOI 10.1111/j.1365-294X.2007.03545.x.
   Haddrill PR, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-2-r18.
   Haenel Q, 2018, MOL ECOL, V27, P2477, DOI 10.1111/mec.14699.
   Hamilton W.D., 1987, P81.
   Hartfield M, 2012, INTEGR ZOOL, V7, P192, DOI 10.1111/j.1749-4877.2012.00284.x.
   Harushima Y, 1998, GENETICS, V148, P479.
   Heil CSS, 2015, GENOME BIOL EVOL, V7, P2829, DOI 10.1093/gbe/evv182.
   Henderson IR, 2012, CURR OPIN PLANT BIOL, V15, P556, DOI 10.1016/j.pbi.2012.09.002.
   Hey J, 2004, PLOS BIOL, V2, P730, DOI 10.1371/journal.pbio.0020190.
   HILL WG, 1966, GENET RES, V8, P269, DOI 10.1017/S0016672300010156.
   Hudson RR, 2001, GENETICS, V159, P1805.
   Hughes WOH, 2008, SCIENCE, V320, P1213, DOI 10.1126/science.1156108.
   Hunt GJ, 2007, NATURWISSENSCHAFTEN, V94, P247, DOI 10.1007/s00114-006-0183-1.
   Jones JC, 2004, SCIENCE, V305, P402, DOI 10.1126/science.1096340.
   Kapheim KM, 2015, SCIENCE, V348, P1139, DOI 10.1126/science.aaa4788.
   Kawakami T, 2017, MOL ECOL, V26, P4158, DOI 10.1111/mec.14197.
   Kent CF, 2012, P NATL ACAD SCI USA, V109, P18012, DOI 10.1073/pnas.1208094109.
   LAMBIE EJ, 1986, GENETICS, V114, P769.
   Larracuente AM, 2008, TRENDS GENET, V24, P114, DOI 10.1016/j.tig.2007.12.001.
   Liu HX, 2017, MOL BIOL EVOL, V34, P119, DOI 10.1093/molbev/msw226.
   Liu HX, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-014-0566-0.
   Lyko F, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000506.
   Mahtani MM, 1998, GENOME RES, V8, P100, DOI 10.1101/gr.8.2.100.
   Maloisel L, 1998, GENE DEV, V12, P1381, DOI 10.1101/gad.12.9.1381.
   Manzano-Winkler B, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0071582.
   Marais G, 2003, GENET RES, V81, P79, DOI 10.1017/S0016672302006079.
   McVean G, 2002, GENETICS, V160, P1231.
   McVean GAT, 2004, SCIENCE, V304, P581, DOI 10.1126/science.1092500.
   Meznar ER, 2010, J HERED, V101, pS118, DOI 10.1093/jhered/esq002.
   Miller DE, 2012, G3-GENES GENOM GENET, V2, P249, DOI 10.1534/g3.111.001396.
   Myers S, 2010, SCIENCE, V327, P876, DOI 10.1126/science.1182363.
   Niehuis O, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0008597.
   Otto SP, 1997, GENETICS, V147, P879.
   Otto SP, 2002, NAT REV GENET, V3, P252, DOI 10.1038/nrg761.
   Page RE, 2002, NATURWISSENSCHAFTEN, V89, P91, DOI 10.1007/s00114-002-0299-x.
   Paigen K, 2010, NAT REV GENET, V11, P221, DOI 10.1038/nrg2712.
   Parvanov ED, 2010, SCIENCE, V327, P835, DOI 10.1126/science.1181495.
   PECK JR, 1994, GENETICS, V137, P597.
   Ritz KR, 2017, TRENDS GENET, V33, P364, DOI 10.1016/j.tig.2017.03.003.
   Robinson MC, 2014, MOL BIOL EVOL, V31, P425, DOI 10.1093/molbev/mst220.
   Rueppell O, 2016, GENOME BIOL EVOL, V8, P3653, DOI 10.1093/gbe/evw269.
   SCHMIDHEMPEL P, 1998, MG BEH ECOL, P3.
   Seeley TD, 2007, P ROY SOC B-BIOL SCI, V274, P67, DOI 10.1098/rspb.2006.3702.
   SHERMAN JD, 1995, GENETICS, V141, P683.
   SHERMAN PW, 1988, AM NAT, V131, P602, DOI 10.1086/284809.
   SHERMAN PW, 1979, AM NAT, V113, P925, DOI 10.1086/283445.
   Shi YY, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0076459.
   Singh ND, 2013, GENETICS, V194, P375, DOI 10.1534/genetics.112.146746.
   Singh ND, 2009, J MOL EVOL, V69, P42, DOI 10.1007/s00239-009-9250-5.
   Sirvio A, 2006, J EVOLUTION BIOL, V19, P1475, DOI 10.1111/j.1420-9101.2006.01131.x.
   Sirvio A, 2011, BMC GENET, V12, DOI 10.1186/1471-2156-12-95.
   Slatkin M, 2008, NAT REV GENET, V9, P477, DOI 10.1038/nrg2361.
   Smukowski CS, 2011, HEREDITY, V107, P496, DOI 10.1038/hdy.2011.44.
   Solignac M, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-4-r66.
   Stapley J, 2017, PHILOS T R SOC B, V372, DOI 10.1098/rstb.2016.0455.
   STEPHAN W, 1989, GENETICS, V121, P89.
   Supek F, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0021800.
   SVED J, 1990, P NATL ACAD SCI USA, V87, P4692, DOI 10.1073/pnas.87.12.4692.
   Tarpy DR, 2003, P ROY SOC B-BIOL SCI, V270, P99, DOI 10.1098/rspb.2002.2199.
   TEMPLETON AR, 1979, AM NAT, V113, P937, DOI 10.1086/283446.
   Tiley GP, 2015, BMC EVOL BIOL, V15, DOI 10.1186/s12862-015-0473-3.
   Wallberg A, 2019, BMC GENOMICS, V20, DOI 10.1186/s12864-019-5642-0.
   Wallberg A, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1006792.
   Wallberg A, 2015, PLOS GENET, V11, DOI 10.1371/journal.pgen.1005189.
   Wallberg A, 2014, NAT GENET, V46, P1081, DOI 10.1038/ng.3077.
   Webster MT, 2012, TRENDS GENET, V28, P101, DOI 10.1016/j.tig.2011.11.002.
   Wilfert L, 2007, HEREDITY, V98, P189, DOI 10.1038/sj.hdy.6800950.
   Zayed A, 2012, GENES BRAIN BEHAV, V11, P253, DOI 10.1111/j.1601-183X.2011.00750.x.}},
Number-of-Cited-References = {{105}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{12}},
Journal-ISO = {{Mol. Biol. Evol.}},
Doc-Delivery-Number = {{JU5RQ}},
Unique-ID = {{ISI:000501734200016}},
DA = {{2020-11-05}},
}

@article{ ISI:000500533700012,
Author = {Malfi, Rosemary L. and Crone, Elizabeth and Williams, Neal},
Title = {{Demographic benefits of early season resources for bumble bee (B.
   vosnesenskii) colonies}},
Journal = {{OECOLOGIA}},
Year = {{2019}},
Volume = {{191}},
Number = {{2}},
Pages = {{377-388}},
Month = {{OCT}},
Abstract = {{The temporal distribution of resources is an important aspect of habitat
   quality that can substantially impact population success. Although it is
   widely accepted that floral resources directly influence wild bee
   population sizes, we lack experimental data evaluating how resource
   availability affects colony growth via demographic mechanisms. To
   achieve this, we tracked marked individuals in bumble bee (Bombus
   vosnesenskii) colonies to evaluate whether worker survival and
   reproduction responded to experimentally elevated forage early in colony
   development. Specifically, we assessed the effect of early resource
   environment on worker and sexual offspring production, and the survival
   and body size of individual workers. We also assessed whether responses
   of colonies differed when exposed to higher or lower resource
   environments at a relatively smaller (similar to 10 workers) or larger
   (similar to 20 workers) size. Resource supplementation always resulted
   in greater total offspring and male production; however, the influence
   of supplementation on worker production and quality depended on colony
   size at the start of supplementation. Among colonies that were initially
   smaller, colonies that were supplemented produced fewer but larger
   bodied and longer lived workers compared to control counterparts. Among
   colonies that were initially larger, colonies that were supplemented
   produced more workers than corresponding controls, but without changes
   to worker quality. Collectively, these results provide clear
   experimental evidence that greater resource availability early in colony
   development increases overall productivity, and indicate that colonies
   may pursue different allocation strategies in response to the resource
   environment, investing in more or better workers.}},
Publisher = {{SPRINGER}},
Address = {{233 SPRING ST, NEW YORK, NY 10013 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Malfi, RL (Corresponding Author), Univ Calif Davis, Dept Entomol \& Nematol, Briggs Hall,Room 367, Davis, CA 95616 USA.
   Malfi, Rosemary L.; Williams, Neal, Univ Calif Davis, Dept Entomol \& Nematol, Briggs Hall,Room 367, Davis, CA 95616 USA.
   Crone, Elizabeth, Tufts Univ, Dept Biol, Medford, MA 02155 USA.}},
DOI = {{10.1007/s00442-019-04472-3}},
ISSN = {{0029-8549}},
EISSN = {{1432-1939}},
Keywords = {{Bumble bee; Demography; Floral resources; Life history; Population
   dynamics}},
Keywords-Plus = {{FORAGING TRIP DURATION; BOMBUS-IMPATIENS; BODY-SIZE; POLLINATION
   SERVICES; REPRODUCTIVE SUCCESS; FLORAL RESOURCES; APIS-MELLIFERA;
   CARBON-DIOXIDE; HONEY BEES; HYMENOPTERA}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Ecology}},
Author-Email = {{rmalfi@ucdavis.edu}},
ORCID-Numbers = {{Malfi, Rosemary/0000-0003-0144-5928}},
Funding-Acknowledgement = {{National Science FoundationNational Science Foundation (NSF)
   {[}DEB1354224, DEB1354022]}},
Funding-Text = {{This project was supported by the National Science Foundation
   (DEB1354224 to EC and DEB1354022 to NW). We thank Jim Jackson and the UC
   Davis Plant Sciences Division for technical support in preparing and
   maintaining our study site, Hedgerow Farms (Winters, CA) for donated
   native plant seed, and a multitude of people, including technicians and
   students, who provided various forms of assistance in the field and
   laboratory: S. Glasser, N. Dorian, C. Fagan, J. Mola, J. Drost, A.
   Buderi, T. Zapalac, L. Cech, M. Epperly, K. Bolte, N.Kerr, C. Nye, K.
   Ward. We also thank two anonymous reviewers whose comments helped to
   improve this manuscript.}},
Cited-References = {{Artz DR, 2011, J ECON ENTOMOL, V104, P1153, DOI 10.1603/EC10431.
   Austin MW, 2019, AM NAT, V194, P381, DOI 10.1086/704280.
   Blaauw BR, 2014, J APPL ECOL, V51, P890, DOI 10.1111/1365-2664.12257.
   Boggs CL, 2005, OECOLOGIA, V144, P353, DOI 10.1007/s00442-005-0076-6.
   Bolker BM, 2008, ECOLOGICAL MODELS DA.
   Bommarco R, 2012, P ROY SOC B-BIOL SCI, V279, P309, DOI 10.1098/rspb.2011.0647.
   BOWERS MA, 1985, ECOLOGY, V66, P914, DOI 10.2307/1940554.
   CANE JH, 1987, J KANSAS ENTOMOL SOC, V60, P145.
   Carvell C, 2007, J APPL ECOL, V44, P29, DOI 10.1111/j.1365-2664.2006.01249.x.
   Carvell C, 2011, ECOL APPL, V21, P1760, DOI 10.1890/10-0677.1.
   Carvell C, 2006, BIOL CONSERV, V132, P481, DOI 10.1016/j.biocon.2006.05.008.
   Carvell C, 2017, NATURE, V543, P547, DOI 10.1038/nature21709.
   Cnaani J, 2002, INSECT SOC, V49, P164, DOI 10.1007/s00040-002-8297-8.
   Colla SR, 2012, BIODIVERS CONSERV, V21, P3585, DOI 10.1007/s10531-012-0383-2.
   Cooch E. G., 2016, PROGRAM MARK GENTLE.
   Couvillon MJ, 2011, P R SOC B, V276, P2411.
   Cresswell JE, 2000, ECOL ENTOMOL, V25, P249, DOI 10.1046/j.1365-2311.2000.00264.x.
   Crone EE, 2016, ECOL LETT, V19, P460, DOI 10.1111/ele.12581.
   del Castillo RC, 2015, ECOL EVOL, V5, P3914, DOI 10.1002/ece3.1659.
   Dmitriew C, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0017399.
   EBADI R, 1980, ENVIRON ENTOMOL, V9, P144, DOI 10.1093/ee/9.1.144.
   Goulson D, 2002, ANIM BEHAV, V64, P123, DOI 10.1006/anbe.2002.3041.
   Goulson D, 2010, BUMBLEBEES BEHAV ECO, P4.
   Greenleaf SS, 2007, OECOLOGIA, V153, P589, DOI 10.1007/s00442-007-0752-9.
   Hagen M, 2013, INSECT SOC, V60, P251, DOI 10.1007/s00040-013-0290-x.
   Hagler JR, 2001, ANNU REV ENTOMOL, V46, P511, DOI 10.1146/annurev.ento.46.1.511.
   Harrison XA, 2011, J ANIM ECOL, V80, P4, DOI 10.1111/j.1365-2656.2010.01740.x.
   HAYWOOD S, 1992, P ROY SOC B-BIOL SCI, V249, P195, DOI 10.1098/rspb.1992.0103.
   Hegland SJ, 2006, ECOL ENTOMOL, V31, P532, DOI 10.1111/j.1365-2311.2006.00812.x.
   Hemberger J, 2018, ECOL ENTOMOL, V43, P447, DOI 10.1111/een.12516.
   Herrmann JD, 2018, ECOL ENTOMOL, V43, P458, DOI 10.1111/een.12517.
   Hines HM, 2005, ENVIRON ENTOMOL, V34, P1477, DOI 10.1603/0046-225X-34.6.1477.
   Jackson CH, 2011, J STAT SOFTW, V38, P1.
   Kerr JT, 2015, SCIENCE, V349, P177, DOI 10.1126/science.aaa7031.
   Kerr NZ, 2019, FUNCT ECOL, V33, P467, DOI 10.1111/1365-2435.13251.
   Kim JY, 2001, OECOLOGIA, V126, P451, DOI 10.1007/s004420000540.
   Kremen C, 2004, ECOL LETT, V7, P1109, DOI 10.1111/j.1461-0248.2004.00662.x.
   Leach Megan E., 2018, International Journal of Ecology, P9607246.
   Lindstrom J, 1999, TRENDS ECOL EVOL, V14, P343, DOI 10.1016/S0169-5347(99)01639-0.
   Lonsdorf E, 2009, ANN BOT-LONDON, V103, P1589, DOI 10.1093/aob/mcp069.
   M'Gonigle LK, 2017, CONSERV LETT, V10, P105, DOI 10.1111/conl.12261.
   Malfi RL, 2018, ECOL MONOGR, V88, P653, DOI 10.1002/ecm.1327.
   Martin AP, 2006, APIDOLOGIE, V37, P341, DOI 10.1051/apido:2006004.
   McFrederick QS, 2006, BIOL CONSERV, V129, P372, DOI 10.1016/j.biocon.2005.11.004.
   Memmott J, 2004, P ROY SOC B-BIOL SCI, V271, P2605, DOI 10.1098/rspb.2004.2909.
   Metcalfe NB, 2001, TRENDS ECOL EVOL, V16, P254, DOI 10.1016/S0169-5347(01)02124-3.
   MULLER CB, 1993, NATURE, V363, P65, DOI 10.1038/363065a0.
   MULLER CB, 1992, ECOL ENTOMOL, V17, P343, DOI 10.1111/j.1365-2311.1992.tb01068.x.
   Pechenik JA, 2006, INTEGR COMP BIOL, V46, P323, DOI 10.1093/icb/icj028.
   Pelletier L, 2003, OIKOS, V103, P688, DOI 10.1034/j.1600-0706.2003.12592.x.
   Persson AS, 2011, BASIC APPL ECOL, V12, P695, DOI 10.1016/j.baae.2011.10.002.
   PLOWRIGHT RC, 1977, CAN J ZOOL, V55, P1133, DOI 10.1139/z77-146.
   Poissonnier LA, 2015, INSECT SOC, V62, P291, DOI 10.1007/s00040-015-0404-8.
   Potts SG, 2003, ECOLOGY, V84, P2628, DOI 10.1890/02-0136.
   R Development Core Team, 2008, R LANG ENV STAT COMP.
   Rotheray EL, 2017, J APICULT RES, V56, P288, DOI 10.1080/00218839.2017.1307712.
   Roulston TH, 2011, ANNU REV ENTOMOL, V56, P293, DOI 10.1146/annurev-ento-120709-144802.
   Roulston TH, 2000, ECOL MONOGR, V70, P617, DOI 10.1890/0012-9615(2000)070{[}0617:WGPCOP]2.0.CO;2.
   Rundlof M, 2014, BIOL CONSERV, V172, P138, DOI 10.1016/j.biocon.2014.02.027.
   Schellhorn NA, 2015, TRENDS ECOL EVOL.
   Schmid-Hempel R, 1998, FUNCT ECOL, V12, P22, DOI 10.1046/j.1365-2435.1998.00153.x.
   Schwarz CJ, 1996, BIOMETRICS, V52, P860, DOI 10.2307/2533048.
   Schwarz CJ, 2001, J AGR BIOL ENVIR ST, V6, P195, DOI 10.1198/108571101750524706.
   Shik JZ, 2008, FUNCT ECOL, V22, P674, DOI 10.1111/j.1365-2435.2008.01428.x.
   Spaethe J, 2002, INSECT SOC, V49, P142, DOI 10.1007/s00040-002-8293-z.
   Spiesman BJ, 2017, BIOL CONSERV, V206, P217, DOI 10.1016/j.biocon.2016.12.008.
   SUTCLIFFE GH, 1988, CAN ENTOMOL, V120, P1051, DOI 10.4039/Ent1201051-12.
   TUSTAIN RCR, 1979, NEW ZEAL J EXP AGR, V7, P327, DOI 10.1080/03015521.1979.10429094.
   Vaiserman AM, 2014, J DEV ORIG HLTH DIS, V5, P325, DOI 10.1017/S2040174414000294.
   Vaudo AD, 2018, ECOL EVOL, V8, P5765, DOI 10.1002/ece3.4115.
   Vaudo AD, 2015, CURR OPIN INSECT SCI, V10, P133, DOI 10.1016/j.cois.2015.05.008.
   Westphal C, 2003, ECOL LETT, V6, P961, DOI 10.1046/j.1461-0248.2003.00523.x.
   Westphal C, 2009, J APPL ECOL, V46, P187, DOI 10.1111/j.1365-2664.2008.01580.x.
   Westphal C, 2006, ECOL ENTOMOL, V31, P389, DOI 10.1111/j.1365-2311.2006.00801.x.
   Williams B., 2002, ANAL MANAGEMENT ANIM.
   WILLIAMS IH, 1991, J APICULT RES, V30, P3, DOI 10.1080/00218839.1991.11101227.
   Williams NM, 2015, ECOL APPL, V25, P2119, DOI {[}10.1890/14-1748.1.sm, 10.1890/14-1748.1].
   Williams NM, 2012, ECOLOGY, V93, P1049, DOI 10.1890/11-1006.1.
   Williams P., 2014, BUMBLE BEES N AM.
   Willmer P.G., 2014, Journal of Pollination Ecology, V14, P244.
   Wood TJ, 2019, ECOLOGY, V100, DOI 10.1002/ecy.2697.}},
Number-of-Cited-References = {{81}},
Times-Cited = {{3}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{11}},
Journal-ISO = {{Oecologia}},
Doc-Delivery-Number = {{JS8DY}},
Unique-ID = {{ISI:000500533700012}},
DA = {{2020-11-05}},
}

@article{ ISI:000495079400003,
Author = {Chen, Huazhi and Du, Yu and Xiong, Cuiling and Zheng, Yanzhen and Chen,
   Dafu and Guo, Rui},
Title = {{A comprehensive transcriptome data of normal and Nosema ceranae-stressed
   midguts of Apis mellifera ligustica workers}},
Journal = {{DATA IN BRIEF}},
Year = {{2019}},
Volume = {{26}},
Month = {{OCT}},
Abstract = {{Honeybees are pivotal pollinators of crops and wild flora, and of great
   importance in supporting critical ecosystem balance. Nosema ceranae, a
   unicellular fungal parasite that infects midgut epithelial cells of
   honeybees, can dramatically reduce honeybee population and productivity.
   Here, midguts of Apis mellifera ligustica workers at 7 d and 10 d post
   inoculation (dpi) with sucrose solution (Ac7CK and Ac10CK) and midguts
   at 7 dpi and 10 dpi with sucrose solution containing N. ceranae spores
   (Ac7T and Ac10T) were sequenced using strand-specific cDNA library
   construction and next-generation sequencing. A total of 1956129858 raw
   reads were gained in this article, and after quality control, 1946489304
   high-quality clean reads with a mean Q30 of 93.82\% were obtained. The
   rRNA-removed clean reads were then aligned to the reference genome of
   Apis mellifera with TopHat2. For more insight please see ``Genome-wide
   identification of long non-coding RNAs and their regulatory networks
   involved in Apis mellifera ligustica response to Nosema ceranae
   infection{''} {[}1]. Raw data were deposited in NCBI Sequence Read
   Archive (SRA) database under the BioProject number PRJNA406998. These
   data can be used for comparative analysis to identify differentially
   expressed coding RNAs and non-coding RNAs involved in A. m. ligustica
   responses to N. ceranae stress, and for investigation of molecular
   mechanisms regulating host N. ceranae -response. (C) 2019 The Author(s).
   Published by Elsevier Inc.}},
Publisher = {{ELSEVIER}},
Address = {{RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS}},
Type = {{Article; Data Paper}},
Language = {{English}},
Affiliation = {{Guo, R (Corresponding Author), Fujian Agr \& Forestry Univ, Coll Bee Sci, Fuzhou 350002, Fujian, Peoples R China.
   Chen, Huazhi; Du, Yu; Xiong, Cuiling; Zheng, Yanzhen; Chen, Dafu; Guo, Rui, Fujian Agr \& Forestry Univ, Coll Bee Sci, Fuzhou 350002, Fujian, Peoples R China.}},
DOI = {{10.1016/j.dib.2019.104349}},
Article-Number = {{104349}},
ISSN = {{2352-3409}},
Keywords = {{Apis mellifera ligustica; Nosema ceranae; Midgut; Transcriptome}},
Research-Areas = {{Science \& Technology - Other Topics}},
Web-of-Science-Categories  = {{Multidisciplinary Sciences}},
Author-Email = {{ruiguo@fafu.edu.cn}},
Funding-Acknowledgement = {{Earmarked Fund for Modern Agro-industry Technology Research System
   {[}CARS-44-KXJ7]; Science and Technology Planning Project of Fujian
   Province {[}2018J05042]; Education and Scientific Research ProgramFujian
   Ministry of Education for Young Teachers {[}JAT170158]; Outstanding
   Scientific Research Manpower Fund of Fujian Agriculture and Forestry
   University {[}xjq201814]; Science and Technology Innovation Fund of
   Fujian Agriculture and Forestry University {[}CXZX2017342, CXZX2017343]}},
Funding-Text = {{We gratefully acknowledge financial support of the Earmarked Fund for
   Modern Agro-industry Technology Research System (CARS-44-KXJ7), the
   Science and Technology Planning Project of Fujian Province (2018J05042),
   the Education and Scientific Research ProgramFujian Ministry of
   Education for Young Teachers (JAT170158), the Outstanding Scientific
   Research Manpower Fund of Fujian Agriculture and Forestry University
   (xjq201814), the Science and Technology Innovation Fund of Fujian
   Agriculture and Forestry University (CXZX2017342, CXZX2017343).}},
Cited-References = {{Chen Y, 2008, J INVERTEBR PATHOL, V97, P186, DOI 10.1016/j.jip.2007.07.010.
   Cornman RS, 2009, PLOS PATHOG, V5, DOI 10.1371/journal.ppat.1000466.
   Guo R., 2019, BIORXIV, DOI {[}10.1101/643627, DOI 10.1101/643627].
   Guo R, 2018, APIDOLOGIE, V49, P660, DOI 10.1007/s13592-018-0593-z.
   Kim D, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-4-r36.
   Langmead B, 2012, NAT METHODS, V9, P357, DOI {[}10.1038/NMETH.1923, 10.1038/nmeth.1923].
   Trapnell C, 2012, NAT PROTOC, V7, P562, DOI 10.1038/nprot.2012.016.}},
Number-of-Cited-References = {{7}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{2}},
Journal-ISO = {{Data Brief}},
Doc-Delivery-Number = {{JK8GY}},
Unique-ID = {{ISI:000495079400003}},
OA = {{DOAJ Gold, Green Published}},
DA = {{2020-11-05}},
}

@article{ ISI:000493655800011,
Author = {Iverson, Aaron and Hale, Casey and Richardson, Leeah and Miller, Olivia
   and McArt, Scott},
Title = {{Synergistic effects of three sterol biosynthesis inhibiting fungicides
   on the toxicity of a pyrethroid and neonicotinoid insecticide to bumble
   bees}},
Journal = {{APIDOLOGIE}},
Year = {{2019}},
Volume = {{50}},
Number = {{5}},
Pages = {{733-744}},
Month = {{OCT}},
Abstract = {{Understanding how different pesticides influence bee health is inhibited
   by a limited knowledge about the interactions between different
   compounds to which bees are simultaneously exposed. Although research
   has demonstrated synergistic effects of some sterol biosynthesis
   inhibiting (SBI) fungicides on the toxicity of certain insecticides to
   bees, a high degree of variability exists in the relatively few SBI
   fungicide-insecticide interactions tested. Furthermore, most research
   has been conducted on honey bees, Apis mellifera, limiting our
   understanding of pesticide synergisms in native wild bees. We tested the
   effects of the SBI fungicides difenoconazole, myclobutanil, and
   fenhexamid on acute contact toxicity of the insecticides thiamethoxam
   (neonicotinoid) and bifenthrin (pyrethroid) to the common eastern bumble
   bee, Bombus impatiens. Based on range-finding trials, we selected a
   single dosage of each pesticide, with insecticides approximating LD20
   values and fungicides approximating their maximum sublethal levels. We
   found that the triazole SBI fungicide difenoconazole interacted
   synergistically with bifenthrin, with a maximum synergy ratio of 1.48,
   while the triazole myclobutanil interacted synergistically with both
   bifenthrin and thiamethoxam, with maximum synergy ratios of 11.0 and
   2.38, respectively. However, the hydroxyanilide SBI fungicide fenhexamid
   did not exhibit a synergistic effect on either insecticide. Our results
   suggest that certain SBI fungicides, and potentially those from
   particular SBI classes, may be particularly harmful to bumble bee health
   when co-exposure to insecticides occurs, despite their low toxicity when
   experienced in isolation.}},
Publisher = {{SPRINGER FRANCE}},
Address = {{22 RUE DE PALESTRO, PARIS, 75002, FRANCE}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Iverson, A (Corresponding Author), Cornell Univ, Dept Entomol, 4128 Comstock Hall, Ithaca, NY 14853 USA.
   Iverson, A (Corresponding Author), St Lawrence Univ, Dept Environm Studies, 201 Mem Hall, Canton, NY 13617 USA.
   Iverson, Aaron; Hale, Casey; Richardson, Leeah; Miller, Olivia; McArt, Scott, Cornell Univ, Dept Entomol, 4128 Comstock Hall, Ithaca, NY 14853 USA.
   Iverson, Aaron, St Lawrence Univ, Dept Environm Studies, 201 Mem Hall, Canton, NY 13617 USA.}},
DOI = {{10.1007/s13592-019-00681-0}},
ISSN = {{0044-8435}},
EISSN = {{1297-9678}},
Keywords = {{bee conservation; bioassay; ecotoxicology; pesticide interactions; wild
   bee}},
Keywords-Plus = {{APIS-MELLIFERA L; HONEY-BEE; POLLEN; EXPOSURE; IMPACTS}},
Research-Areas = {{Entomology}},
Web-of-Science-Categories  = {{Entomology}},
Author-Email = {{aiverson@stlawu.edu}},
ORCID-Numbers = {{Iverson, Aaron/0000-0001-6343-4226}},
Funding-Acknowledgement = {{National Institute of Food and Agriculture, US Department of
   AgricultureUnited States Department of Agriculture (USDA)
   {[}2019-67013-29561, 1010568]; New York Farm Viability Institute {[}FOC
   17001]}},
Funding-Text = {{Funding for this project came from the National Institute of Food and
   Agriculture, US Department of Agriculture, grant number 2019-67013-29561
   andMultistate Hatch Grant number 1010568, and from the New York Farm
   Viability Institute Grant number FOC 17001, each awarded to SM.}},
Cited-References = {{Biddinger

license: MIT

license_type: permissive

branch_name: refs/heads/main

extension: bib