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1. The database of the Predicts (Projecting responses of ecological diversity in changing terrestrial systems) project

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Hudson, LN, Newbold, T, Contu, S, Hill, SLL, Lysenko, I, De Palma, A, Phillips, HRP, Alhusseini, TI, Bedford, FE, Bennett, DJ, Booth, H, Burton, VJ, Chng, CWT, Choimes, A, Correia, DLP, Day, J, Echeverría-Londoño, S, Emerson, SR, Gao, D, Garon, M, Harrison, MLK, Ingram, DJ, Jung, M, Kemp, V, Kirkpatrick, L, Martin, CD, Pan, Y, Pask-Hale, GD, Pynegar, EL, Robinson, AN, Sanchez-Ortiz, K, Senior, RA, Simmons, BI, White, HJ, Zhang, H, Aben, J, Abrahamczyk, S, Adum, GB, Aguilar-Barquero, V, Aizen, MA, Albertos, B, Alcala, EL, del Mar Alguacil, M, Alignier, A, Ancrenaz, M, Andersen, AN, Arbeláez-Cortés, E, Armbrecht, I, Arroyo-Rodríguez, V, Aumann, T, Axmacher, JC, Azhar, B, Azpiroz, AB, Baeten, L, Bakayoko, A, Báldi, A, Banks, JE, Baral, SK, Barlow, J, Barratt, BIP, Barrico, L, Bartolommei, P, Barton, DM, Basset, Y, Batáry, P, Bates, AJ, Baur, B, Bayne, EM, Beja, P, Benedick, S, Berg, Å, Bernard, H, Berry, NJ, Bhatt, D, Bicknell, JE, Bihn, JH, Blake, RJ, Bobo, KS, Bóçon, R, Boekhout, T, Böhning-Gaese, K, Bonham, KJ, Borges, PAV, Borges, SH, Boutin, C, Bouyer, J, Bragagnolo, C, Brandt, JS, Brearley, FQ, Brito, I, Bros, V, Brunet, J, Buczkowski, G, Buddle, CM, Bugter, R, Buscardo, E, Buse, J, Cabra-García, J, Cáceres, NC, Cagle, NL, Calviño-Cancela, M, Cameron, SA, Cancello, EM, Caparrós, R, Cardoso, P, Carpenter, D, Carrijo, TF, Carvalho, AL, Cassano, CR, Castro, H, Castro-Luna, AA, Rolando, CB, Cerezo, A, Chapman, KA, Chauvat, M, Christensen, M, Clarke, FM, Cleary, DFR, Colombo, G, Connop, SP, Craig, MD, Cruz-López, L, Cunningham, SA, D'Aniello, B, D'Cruze, N, da Silva, PG, Dallimer, M, Danquah, E, Darvill, B, Dauber, J, Davis, ALV, Dawson, J, de Sassi, C, de Thoisy, B, Deheuvels, O, Dejean, A, Devineau, J-L, Diekötter, T, Dolia, JV, Domínguez, E, Dominguez-Haydar, Y, Dorn, S, Draper, I, Dreber, N, Dumont, B, Dures, SG, Dynesius, M, Edenius, L, Eggleton, P, Eigenbrod, F, Elek, Z, Entling, MH, Esler, KJ, de Lima, RF, Faruk, A, Farwig, N, Fayle, TM, Felicioli, A, Felton, AM, Fensham, RJ, Fernandez, IC, Ferreira, CC, Ficetola, GF, Fiera, C, Filgueiras, BKC, Fırıncıoğlu, HK, Flaspohler, D, Floren, A, Fonte, SJ, Fournier, A, Fowler, RE, Franzén, M, Fraser, LH, Fredriksson, GM, Freire, GB, Frizzo, TLM, Fukuda, D, Furlani, D, Gaigher, R, Ganzhorn, JU, García, KP, Garcia-R, JC, Garden, JG, Garilleti, R, Ge, B-M, Gendreau-Berthiaume, B, Gerard, PJ, Gheler-Costa, C, Gilbert, B, Giordani, P, Giordano, S, Golodets, C, Gomes, LGL, Gould, RK, Goulson, D, Gove, AD, Granjon, L, Grass, I, Gray, CL, Grogan, J, Gu, W, Guardiola, M, Gunawardene, NR, Gutierrez, AG, Gutiérrez-Lamus, DL, Haarmeyer, DH, Hanley, ME, Hanson, T, Hashim, NR, Hassan, SN, Hatfield, RG, Hawes, JE, Hayward, MW, Hébert, C, Helden, AJ, Henden, J-A, Henschel, P, Hernández, L, Herrera, JP, Herrmann, F, Herzog, F, Higuera-Diaz, D, Hilje, B, Höfer, H, Hoffmann, A, Horgan, FG, Hornung, E, Horváth, R, Hylander, K, Isaacs-Cubides, P, Ishida, H, Ishitani, M, Jacobs, CT, Jaramillo, VJ, Jauker, B, Hernández, FJ, Johnson, MF, Jolli, V, Jonsell, M, Juliani, SN, Jung, TS, Kapoor, V, Kappes, H, Kati, V, Katovai, E, Kellner, K, Kessler, M, Kirby, KR, Kittle, AM, Knight, ME, Knop, E, Kohler, F, Koivula, M, Kolb, A, Kone, M, Kőrösi, Á, Krauss, J, Kumar, A, Kumar, R, Kurz, DJ, Kutt, AS, Lachat, T, Lantschner, V, Lara, F, Lasky, JR, Latta, SC, Laurance, WF, Lavelle, P, Le Féon, V, LeBuhn, G, Légaré, J-P, Lehouck, V, Lencinas, MV, Lentini, PE, Letcher, SG, Li, Q, Litchwark, SA, Littlewood, NA, Liu, Y, Lo-Man-Hung, N, López-Quintero, CA, Louhaichi, M, Lövei, GL, Lucas-Borja, ME, Luja, VH, Luskin, MS, MacSwiney G, MC, Maeto, K, Magura, T, Mallari, NA, Malone, LA, Malonza, PK, Malumbres-Olarte, J, Mandujano, S, Måren, IE, Marin-Spiotta, E, Marsh, CJ, Marshall, EJP, Martínez, E, Martínez Pastur, G, Moreno Mateos, D, Mayfield, MM, Mazimpaka, V, McCarthy, JL, McCarthy, KP, McFrederick, QS, McNamara, S, Medina, NG, Medina, R, Mena, JL, Mico, E, Mikusinski, G, Milder, JC, Miller, JR, Miranda-Esquivel, DR, Moir, ML, Morales, CL, Muchane, MN, Muchane, M, Mudri-Stojnic, S, Munira, AN, Muoñz-Alonso, A, Munyekenye, BF, Naidoo, R, Naithani, A, Nakagawa, M, Nakamura, A, Nakashima, Y, Naoe, S, Nates-Parra, G, Navarrete Gutierrez, DA, Navarro-Iriarte, L, Ndang'ang'a, PK, Neuschulz, EL, Ngai, JT, Nicolas, V, Nilsson, SG, Noreika, N, Norfolk, O, Noriega, JA, Norton, DA, Nöske, NM, Nowakowski, AJ, Numa, C, O'Dea, N, O'Farrell, PJ, Oduro, W, Oertli, S, Ofori-Boateng, C, Oke, CO, Oostra, V, Osgathorpe, LM, Otavo, SE, Page, NV, Paritsis, J, Parra-H, A, Parry, L, Pe'er, G, Pearman, PB, Pelegrin, N, Pélissier, R, Peres, CA, Peri, PL, Persson, AS, Petanidou, T, Peters, MK, Pethiyagoda, RS, Phalan, B, Philips, TK, Pillsbury, FC, Pincheira-Ulbrich, J, Pineda, E, Pino, J, Pizarro-Araya, J, Plumptre, AJ, Poggio, SL, Politi, N, Pons, P, Poveda, K, Power, EF, Presley, SJ, Proença, V, Quaranta, M, Quintero, C, Rader, R, Ramesh, BR, Ramirez-Pinilla, MP, Ranganathan, J, Rasmussen, C, Redpath-Downing, NA, Reid, JL, Reis, YT, Rey Benayas, JM, Rey-Velasco, JC, Reynolds, C, Ribeiro, DB, Richards, MH, Richardson, BA, Richardson, MJ, Ríos, RM, Robinson, R, Robles, CA, Römbke, J, Romero-Duque, LP, Rös, M, Rosselli, L, Rossiter, SJ, Roth, DS, Roulston, TH, Rousseau, L, Rubio, AV, Ruel, J-C, Sadler, JP, Sáfián, S, Saldaña-Vázquez, RA, Sam, K, Samnegård, U, Santana, J, Santos, X, Savage, J, Schellhorn, NA, Schilthuizen, M, Schmiedel, U, Schmitt, CB, Schon, NL, Schüepp, C, Schumann, K, Schweiger, O, Scott, DM, Scott, KA, Sedlock, JL, Seefeldt, SS, Shahabuddin, G, Shannon, G, Sheil, D, Sheldon, FH, Shochat, E, Siebert, SJ, Silva, FAB, Simonetti, JA, Slade, EM, Smith, J, Smith-Pardo, AH, Sodhi, NS, Somarriba, EJ, Sosa, RA, Soto Quiroga, G, St-Laurent, M-H, Starzomski, BM, Stefanescu, C, Steffan-Dewenter, I, Stouffer, PC, Stout, JC, Strauch, AM, Struebig, MJ, Su, Z, Suarez-Rubio, M, Sugiura, S, Summerville, KS, Sung, Y-H, Sutrisno, H, Svenning, J-C, Teder, T, Threlfall, CG, Tiitsaar, A, Todd, JH, Tonietto, RK, Torre, I, Tóthmérész, B, Tscharntke, T, Turner, EC, Tylianakis, JM, Uehara-Prado, M, Urbina-Cardona, N, Vallan, D, Vanbergen, AJ, Vasconcelos, HL, Vassilev, K, Verboven, HAF, Verdasca, MJ, Verdú, JR, Vergara, CH, Vergara, PM, Verhulst, J, Virgilio, M, Vu, LV, Waite, EM, Walker, TR, Wang, H-F, Wang, Y, Watling, JI, Weller, B, Wells, K, Westphal, C, Wiafe, ED, Williams, CD, Willig, MR, Woinarski, JCZ, Wolf, JHD, Wolters, V, Woodcock, BA, Wu, J, Wunderle, JM, Yamaura, Y, Yoshikura, S, Yu, DW, Zaitsev, AS, Zeidler, J, Zou, F, Collen, B, Ewers, RM, Mace, GM, Purves, DW, Scharlemann, JPW, Purvis, A, The Natural History Museum [London] (NHM), United Nations Environment Programme World Conservation Monitoring Centre, Department of Genetics, Evolution and Environment, Centre for Biodiversity and Environment, Research, University College of London [London] (UCL), Department of Life Sciences [Trieste], Università degli studi di Trieste, Imperial College London, Department of Zoology, Auburn University (AU), Frankfurt Zoological Society, Science and Solutions for a Changing Planet DTP and the Department of Life Sciences, Centre d’étude de la forêt, Université Laval, School of Life Sciences, University of Sussex, School of Biological Sciences [London], Queen Mary University of London (QMUL), School of Biological and Ecological Sciences, University of Stirling, School of Biological Sciences [Egham), Royal Holloway [University of London] (RHUL), School of Environment, Natural Resources and Geography, Bangor University, University College London (UCL), School of Biological Sciences [Clayton], Monash University [Clayton], Institute of Biological and Environmental Sciences, (SFIRC), Evolutionary Ecology Group, University of Antwerp (UA), Nees Institute for Plant Biodiversity, Rheinische Friedrich-Wilhelms-Universität Bonn, Wildlife and Range Management Department, Faculty of Renewable Natural Resources, College of Agriculture and Natural Resources (CANR), Kwame Nkrumah University of Science and Technology (KNUST), Save the frogs!, Escuela de Biología, Universidad Nacional de Costa Rica, Instituto Nacional de Investigaciones en Biodiversidad y Medioambiente [Bariloche] (INIBIOMA-CONICET), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Universidad Nacional del Comahue [Neuquén] (UNCOMA), Departamento de Botánica, Facultad de Farmacia, Universidad de Valencia, Marine Laboratory, Silliman University-Angelo King Center for Research and Environmental Management, Silliman University, Department of Soil and Water Conservation, Centro de Edafologia y Biologia Aplicada del Segura, SAD Paysage (SAD Paysage), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Dynamiques Forestières dans l'Espace Rural (DYNAFOR), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Toulouse-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Animal, Santé, Territoires, Risques et Ecosystèmes (UMR ASTRE), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA), Unité Mixte de Recherches sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique (INRA), Centre de Biologie pour la Gestion des Populations (UMR CBGP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Abeilles et Environnement (AE), Institut National de la Recherche Agronomique (INRA)-Avignon Université (AU), Patrimoines locaux, Environnement et Globalisation (PALOC), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU), Università degli studi di Trieste = University of Trieste, Université Laval [Québec] (ULaval), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse (ENSAT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), The Royal Society, Natural Environment Research Council (NERC), Kwame Nkrumah University of Science and Technology [GHANA] (KNUST), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Westerdijk Fungal Biodiversity Institute, Westerdijk Fungal Biodiversity Institute - Yeast Research, Hudson, Lawrence N [0000-0003-4072-7469], Choimes, Argyrios [0000-0002-9849-1500], Jung, Martin [0000-0002-7569-1390], Apollo - University of Cambridge Repository, Hudson, Lawrence N, Newbold, Tim, Contu, Sara, Hill, Samantha L. L., Lysenko, Igor, De Palma, Adriana, Phillips, Helen R. P., Alhusseini, Tamera I., Bedford, Felicity E., Bennett, Dominic J., Booth, Hollie, Burton, Victoria J., Chng, Charlotte W. T., Choimes, Argyrio, Correia, David L. P., Day, Julie, Echeverría Londoño, Susy, Emerson, Susan R., Gao, Di, Garon, Morgan, Harrison, Michelle L. K., Ingram, Daniel J., Jung, Martin, Kemp, Victoria, Kirkpatrick, Lucinda, Martin, Callum D., Pan, Yuan, Pask Hale, Gwilym D., Pynegar, Edwin L., Robinson, Alexandra N., Sanchez Ortiz, Katia, Senior, Rebecca A., Simmons, Benno I., White, Hannah J., Zhang, Hanbin, Aben, Job, Abrahamczyk, Stefan, Adum, Gilbert B., Aguilar Barquero, Virginia, Aizen, Marcelo A., Albertos, Belén, Alcala, E. L., del Mar Alguacil, Maria, Alignier, Audrey, Ancrenaz, Marc, Andersen, Alan N., Arbeláez Cortés, Enrique, Armbrecht, Inge, Arroyo Rodríguez, Víctor, Aumann, Tom, Axmacher, Jan C., Azhar, Badrul, Azpiroz, Adrián B., Baeten, Lander, Bakayoko, Adama, Báldi, Andrá, Banks, John E., Baral, Sharad K., Barlow, Jo, Barratt, Barbara I. P., Barrico, Lurde, Bartolommei, Paola, Barton, Diane M., Basset, Yve, Batáry, Péter, Bates, Adam J., Baur, Bruno, Bayne, Erin M., Beja, Pedro, Benedick, Suzan, Berg, Åke, Bernard, Henry, Berry, Nicholas J., Bhatt, Dinesh, Bicknell, Jake E., Bihn, Jochen H., Blake, Robin J., Bobo, Kadiri S., Bóçon, Roberto, Boekhout, Teun, Böhning Gaese, Katrin, Bonham, Kevin J., Borges, Paulo A. V., Borges, Sérgio H., Boutin, Céline, Bouyer, Jérémy, Bragagnolo, Cibele, Brandt, Jodi S., Brearley, Francis Q., Brito, Isabel, Bros, Vicenç, Brunet, Jörg, Buczkowski, Grzegorz, Buddle, Christopher M., Bugter, Rob, Buscardo, Erika, Buse, Jörn, Cabra García, Jimmy, Cáceres, Nilton C., Cagle, Nicolette L., Calviño Cancela, María, Cameron, Sydney A., Cancello, Eliana M., Caparrós, Rut, Cardoso, Pedro, Carpenter, Dan, Carrijo, Tiago F., Carvalho, Anelena L., Cassano, Camila R., Castro, Helena, Castro Luna, Alejandro A., Rolando, Cerda B., Cerezo, Alexi, Chapman, Kim Alan, Chauvat, Matthieu, Christensen, Morten, Clarke, Francis M., Cleary, Daniel F. R., Colombo, Giorgio, Connop, Stuart P., Craig, Michael D., Cruz López, Leopoldo, Cunningham, Saul A., D'Aniello, Biagio, D'Cruze, Neil, da Silva, Pedro Giovâni, Dallimer, Martin, Danquah, Emmanuel, Darvill, Ben, Dauber, Jen, Davis, Adrian L. V., Dawson, Jeff, de Sassi, Claudio, de Thoisy, Benoit, Deheuvels, Olivier, Dejean, Alain, Devineau, Jean Loui, Diekötter, Tim, Dolia, Jignasu V., Domínguez, Erwin, Dominguez Haydar, Yamileth, Dorn, Silvia, Draper, Isabel, Dreber, Niel, Dumont, Bertrand, Dures, Simon G., Dynesius, Mat, Edenius, Lar, Eggleton, Paul, Eigenbrod, Felix, Elek, Zoltán, Entling, Martin H., Esler, Karen J., de Lima, Ricardo F., Faruk, Aisyah, Farwig, Nina, Fayle, Tom M., Felicioli, Antonio, Felton, Annika M., Fensham, Roderick J., Fernandez, Ignacio C., Ferreira, Catarina C., Ficetola, Gentile F., Fiera, Cristina, Filgueiras, Bruno K. C., Fırıncıoğlu, Hüseyin K., Flaspohler, David, Floren, Andrea, Fonte, Steven J., Fournier, Anne, Fowler, Robert E., Franzén, Marku, Fraser, Lauchlan H., Fredriksson, Gabriella M., Freire, Geraldo B., Frizzo, Tiago L. M., Fukuda, Daisuke, Furlani, Dario, Gaigher, René, Ganzhorn, Jörg U., García, Karla P., Garcia R, Juan C., Garden, Jenni G., Garilleti, Ricardo, Ge, Bao Ming, Gendreau Berthiaume, Benoit, Gerard, Philippa J., Gheler Costa, Carla, Gilbert, Benjamin, Giordani, Paolo, Giordano, Simonetta, Golodets, Carly, Gomes, Laurens G. L., Gould, Rachelle K., Goulson, Dave, Gove, Aaron D., Granjon, Laurent, Grass, Ingo, Gray, Claudia L., Grogan, Jame, Gu, Weibin, Guardiola, Moisè, Gunawardene, Nihara R., Gutierrez, Alvaro G., Gutiérrez Lamus, Doris L., Haarmeyer, Daniela H., Hanley, Mick E., Hanson, Thor, Hashim, Nor R., Hassan, Shombe N., Hatfield, Richard G., Hawes, Joseph E., Hayward, Matt W., Hébert, Christian, Helden, Alvin J., Henden, John André, Henschel, Philipp, Hernández, Lionel, Herrera, James P., Herrmann, Farina, Herzog, Felix, Higuera Diaz, Diego, Hilje, Branko, Höfer, Hubert, Hoffmann, Anke, Horgan, Finbarr G., Hornung, Elisabeth, Horváth, Roland, Hylander, Kristoffer, Isaacs Cubides, Paola, Ishida, Hiroaki, Ishitani, Masahiro, Jacobs, Carmen T., Jaramillo, Víctor J., Jauker, Birgit, Hernández, F. Jiménez, Johnson, McKenzie F., Jolli, Virat, Jonsell, Mat, Juliani, S. Nur, Jung, Thomas S., Kapoor, Vena, Kappes, Heike, Kati, Vassiliki, Katovai, Eric, Kellner, Klau, Kessler, Michael, Kirby, Kathryn R., Kittle, Andrew M., Knight, Mairi E., Knop, Eva, Kohler, Florian, Koivula, Matti, Kolb, Annette, Kone, Mouhamadou, Kőrösi, Ádám, Krauss, Jochen, Kumar, Ajith, Kumar, Raman, Kurz, David J., Kutt, Alex S., Lachat, Thibault, Lantschner, Victoria, Lara, Francisco, Lasky, Jesse R., Latta, Steven C., Laurance, William F., Lavelle, Patrick, Le Féon, Violette, Lebuhn, Gretchen, Légaré, Jean Philippe, Lehouck, Valérie, Lencinas, María V., Lentini, Pia E., Letcher, Susan G., Li, Qi, Litchwark, Simon A., Littlewood, Nick A., Liu, Yunhui, Lo Man Hung, Nancy, López Quintero, Carlos A., Louhaichi, Mounir, Lövei, Gabor L., Lucas Borja, Manuel Esteban, Luja, Victor H., Luskin, Matthew S., MacSwiney G, M. Cristina, Maeto, Kaoru, Magura, Tibor, Mallari, Neil Aldrin, Malone, Louise A., Malonza, Patrick K., Malumbres Olarte, Jagoba, Mandujano, Salvador, Måren, Inger E., Marin Spiotta, Erika, Marsh, Charles J., Marshall, E. J. P., Martínez, Eliana, Martínez Pastur, Guillermo, Moreno Mateos, David, Mayfield, Margaret M., Mazimpaka, Vicente, Mccarthy, Jennifer L., Mccarthy, Kyle P., Mcfrederick, Quinn S., Mcnamara, Sean, Medina, Nagore G., Medina, Rafael, Mena, Jose L., Mico, Estefania, Mikusinski, Grzegorz, Milder, Jeffrey C., Miller, James R., Miranda Esquivel, Daniel R., Moir, Melinda L., Morales, Carolina L., Muchane, Mary N., Muchane, Muchai, Mudri Stojnic, Sonja, Munira, A. Nur, Muoñz Alonso, Antonio, Munyekenye, B. F., Naidoo, Robin, Naithani, A., Nakagawa, Michiko, Nakamura, Akihiro, Nakashima, Yoshihiro, Naoe, Shoji, Nates Parra, Guiomar, Navarrete Gutierrez, Dario A., Navarro Iriarte, Lui, Ndang'Ang'A, Paul K., Neuschulz, Eike L., Ngai, Jacqueline T., Nicolas, Violaine, Nilsson, Sven G., Noreika, Norberta, Norfolk, Olivia, Noriega, Jorge Ari, Norton, David A., Nöske, Nicole M., Nowakowski, A. Justin, Numa, Catherine, O'Dea, Niall, O'Farrell, Patrick J., Oduro, William, Oertli, Sabine, Ofori Boateng, Caleb, Oke, Christopher Omamoke, Oostra, Vicencio, Osgathorpe, Lynne M., Otavo, Samuel Eduardo, Page, Navendu V., Paritsis, Juan, Parra H, Alejandro, Parry, Luke, Pe'Er, Guy, Pearman, Peter B., Pelegrin, Nicolá, Pélissier, Raphaël, Peres, Carlos A., Peri, Pablo L., Persson, Anna S., Petanidou, Theodora, Peters, Marcell K., Pethiyagoda, Rohan S., Phalan, Ben, Philips, T. Keith, Pillsbury, Finn C., Pincheira Ulbrich, Jimmy, Pineda, Eduardo, Pino, Joan, Pizarro Araya, Jaime, Plumptre, A. J., Poggio, Santiago L., Politi, Natalia, Pons, Pere, Poveda, Katja, Power, Eileen F., Presley, Steven J., Proença, Vânia, Quaranta, Marino, Quintero, Carolina, Rader, Romina, Ramesh, B. R., Ramirez Pinilla, Martha P., Ranganathan, Jai, Rasmussen, Clau, Redpath Downing, Nicola A., Reid, J. Leighton, Reis, Yana T., Rey Benayas, José M., Rey Velasco, Juan Carlo, Reynolds, Chevonne, Ribeiro, Danilo Bandini, Richards, Miriam H., Richardson, Barbara A., Richardson, Michael J., Ríos, Rodrigo Macip, Robinson, Richard, Robles, Carolina A., Römbke, Jörg, Romero Duque, Luz Piedad, Rös, Matthia, Rosselli, Loreta, Rossiter, Stephen J., Roth, Dana S., Roulston, T'ai H., Rousseau, Laurent, Rubio, André V., Ruel, Jean Claude, Sadler, Jonathan P., Sáfián, Szabolc, Saldaña Vázquez, Romeo A., Sam, Katerina, Samnegård, Ulrika, Santana, Joana, Santos, Xavier, Savage, Jade, Schellhorn, Nancy A., Schilthuizen, Menno, Schmiedel, Ute, Schmitt, Christine B., Schon, Nicole L., Schüepp, Christof, Schumann, Katharina, Schweiger, Oliver, Scott, Dawn M., Scott, Kenneth A., Sedlock, Jodi L., Seefeldt, Steven S., Shahabuddin, Ghazala, Shannon, Graeme, Sheil, Dougla, Sheldon, Frederick H., Shochat, Eyal, Siebert, Stefan J., Silva, Fernando A. B., Simonetti, Javier A., Slade, Eleanor M., Smith, Jo, Smith Pardo, Allan H., Sodhi, Navjot S., Somarriba, Eduardo J., Sosa, Ramón A., Soto Quiroga, Grimaldo, St Laurent, Martin Hugue, Starzomski, Brian M., Stefanescu, Constanti, Steffan Dewenter, Ingolf, Stouffer, Philip C., Stout, Jane C., Strauch, Ayron M., Struebig, Matthew J., Su, Zhimin, Suarez Rubio, Marcela, Sugiura, Shinji, Summerville, Keith S., Sung, Yik Hei, Sutrisno, Hari, Svenning, Jens Christian, Teder, Tiit, Threlfall, Caragh G., Tiitsaar, Anu, Todd, Jacqui H., Tonietto, Rebecca K., Torre, Ignasi, Tóthmérész, Béla, Tscharntke, Teja, Turner, Edgar C., Tylianakis, Jason M., Uehara Prado, Marcio, Urbina Cardona, Nicola, Vallan, Deni, Vanbergen, Adam J., Vasconcelos, Heraldo L., Vassilev, Kiril, Verboven, Hans A. F., Verdasca, Maria João, Verdú, José R., Vergara, Carlos H., Vergara, Pablo M., Verhulst, Jort, Virgilio, Massimiliano, Vu, Lien Van, Waite, Edward M., Walker, Tony R., Wang, Hua Feng, Wang, Yanping, Watling, James I., Weller, Britta, Wells, Konstan, Westphal, Catrin, Wiafe, Edward D., Williams, Christopher D., Willig, Michael R., Woinarski, John C. Z., Wolf, Jan H. D., Wolters, Volkmar, Woodcock, Ben A., Wu, Jihua, Wunderle, Joseph M., Yamaura, Yuichi, Yoshikura, Satoko, Yu, Douglas W., Zaitsev, Andrey S., Zeidler, Juliane, Zou, Fasheng, Collen, Ben, Ewers, Rob M., Mace, Georgina M., Purves, Drew W., Scharlemann, Jörn P. W., Purvis, Andy, Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - INPT (FRANCE), Institut National de la Recherche Agronomique - INRA (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Natural History Museum, 3Department of Genetics, Evolution and Environment, Centre for Biodiversity and Environment, Research, University College London ( UCL ), Department of Life Sciences, Universita di Trieste, Auburn University, Queen Mary University of London ( QMUL ), Royal Holloway [University of London] ( RHUL ), ( SFIRC ), University of Antwerp ( UA ), University of Bonn (Rheinische Friedrich-Wilhelms), Kwame Nkrumah University of Science and Technology ( KNUST ), Universidad de Costa Rica, Laboratorio Ecotono-CRUB, Universidad Nacional del Comahue, SAD Paysage ( SAD Paysage ), Institut National de la Recherche Agronomique ( INRA ) -AGROCAMPUS OUEST, Dynamiques Forestières dans l'Espace Rural ( DYNAFOR ), Institut National Polytechnique [Toulouse] ( INP ) -Institut National de la Recherche Agronomique ( INRA ) -Ecole Nationale Supérieure Agronomique de Toulouse, Contrôle des maladies animales exotiques et émergentes [Montpellier] ( CMAEE ), Institut National de la Recherche Agronomique ( INRA ) -Centre de coopération internationale en recherche agronomique pour le développement [CIRAD] : UMR15, Unité Mixte de Recherches sur les Herbivores ( UMR 1213 Herbivores ), VetAgro Sup ( VAS ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique ( INRA ), Centre de Biologie pour la Gestion des Populations ( CBGP ), Centre de Coopération Internationale en Recherche Agronomique pour le Développement ( CIRAD ) -Centre international d'études supérieures en sciences agronomiques ( Montpellier SupAgro ) -Institut national de la recherche agronomique [Montpellier] ( INRA Montpellier ) -Université de Montpellier ( UM ) -Institut de Recherche pour le Développement ( IRD [France-Sud] ) -Institut national d’études supérieures agronomiques de Montpellier ( Montpellier SupAgro ), Abeilles et Environnement ( AE ), and Institut National de la Recherche Agronomique ( INRA ) -Université d'Avignon et des Pays de Vaucluse ( UAPV )

Subjects
VDP::Mathematics and natural science: 400::Zoology and botany: 480::Ecology: 488, Biodiversité et Ecologie, data sharing, habitat, Biológiai tudományok, Q1, BIRD SPECIES RICHNESS, TROPICAL DRY FOREST, VDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488, MEXICAN COFFEE PLANTATIONS, Természettudományok, Data and Information, Milieux et Changements globaux, LOWLAND, ComputingMilieux_MISCELLANEOUS, Original Research, Ecology, global biodiversity modeling, global change, habitat destruction, land use, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, LAND-USE CHANGE, [ SDE.MCG ] Environmental Sciences/Global Changes, Chemistry, Earth and Related Environmental Sciences, Evolution, [SDE.MCG]Environmental Sciences/Global Changes, INTENSIVELY MANAGED FARMLAND, Ingénierie de l'environnement, CARABID BEETLE ASSEMBLAGES, FRUIT-FEEDING BUTTERFLIES, Ecology and Environment, Biodiversity and Ecology, keywords: data sharing, Behavior and Systematics, Biology, Ekologi, [ SDE.BE ] Environmental Sciences/Biodiversity and Ecology, QL, DIPTEROCARP FOREST, QH, PLANT COMMUNITY COMPOSITION, Geovetenskap och miljövetenskap, Biology and Life Sciences, destruction, Ecology, Evolution, Behavior and Systematic, URBAN-RURAL GRADIENT, Earth and Environmental Sciences, Environnement et Société, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract

Source at https://doi.org/10.1002/ece3.2579. The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.

Published
2017

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

Author

De Palma, A, Abrahamczyk, S, Aizen, MA, Albrecht, M, Basset, Y, Bates, A, Blake, RJ, Boutin, C, Bugter, R, Connop, S, Cruz-Lopez, L, Cunningham, SA, Darvill, B, Diekoetter, T, Dorn, S, Downing, N, Entling, MH, Farwig, N, Felicioli, A, Fonte, SJ, Fowler, R, Franzen, M, Goulson, D, Grass, I, Hanley, ME, Hendrix, SD, Herrmann, F, Herzog, F, Holzschuh, A, Jauker, B, Kessler, M, Knight, ME, Kruess, A, Lavelle, P, Le Feon, V, Lentini, P, Malone, LA, Marshall, J, Pachon, EM, McFrederick, QS, Morales, CL, Mudri-Stojnic, S, Nates-Parra, G, Nilsson, SG, Ockinger, E, Osgathorpe, L, Parra-H, A, Peres, CA, Persson, AS, Petanidou, T, Poveda, K, Power, EF, Quaranta, M, Quintero, C, Rader, R, Richards, MH, Roulston, T, Rousseau, L, Sadler, JP, Samnegard, U, Schellhorn, NA, Schuepp, C, Schweiger, O, Smith-Pardo, AH, Steffan-Dewenter, I, Stout, JC, Tonietto, RK, Tscharntke, T, Tylianakis, JM, Verboven, HAF, Vergara, CH, Verhulst, J, Westphal, C, Yoon, HJ, Purvis, A, De Palma, A, Abrahamczyk, S, Aizen, MA, Albrecht, M, Basset, Y, Bates, A, Blake, RJ, Boutin, C, Bugter, R, Connop, S, Cruz-Lopez, L, Cunningham, SA, Darvill, B, Diekoetter, T, Dorn, S, Downing, N, Entling, MH, Farwig, N, Felicioli, A, Fonte, SJ, Fowler, R, Franzen, M, Goulson, D, Grass, I, Hanley, ME, Hendrix, SD, Herrmann, F, Herzog, F, Holzschuh, A, Jauker, B, Kessler, M, Knight, ME, Kruess, A, Lavelle, P, Le Feon, V, Lentini, P, Malone, LA, Marshall, J, Pachon, EM, McFrederick, QS, Morales, CL, Mudri-Stojnic, S, Nates-Parra, G, Nilsson, SG, Ockinger, E, Osgathorpe, L, Parra-H, A, Peres, CA, Persson, AS, Petanidou, T, Poveda, K, Power, EF, Quaranta, M, Quintero, C, Rader, R, Richards, MH, Roulston, T, Rousseau, L, Sadler, JP, Samnegard, U, Schellhorn, NA, Schuepp, C, Schweiger, O, Smith-Pardo, AH, Steffan-Dewenter, I, Stout, JC, Tonietto, RK, Tscharntke, T, Tylianakis, JM, Verboven, HAF, Vergara, CH, Verhulst, J, Westphal, C, Yoon, HJ, and Purvis, A

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.

Published
2016

3. The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts

Author

Hudson, LN, Newbold, T, Contu, S, Hill, SLL, Lysenko, I, De Palma, A, Phillips, HRP, Senior, RA, Bennett, DJ, Booth, H, Choimes, A, Correia, DLP, Day, J, Echeverria-Londono, S, Garon, M, Harrison, MLK, Ingram, DJ, Jung, M, Kemp, V, Kirkpatrick, L, Martin, CD, Pan, Y, White, HJ, Aben, J, Abrahamczyk, S, Adum, GB, Aguilar-Barquero, V, Aizen, MA, Ancrenaz, M, Arbelaez-Cortes, E, Armbrecht, I, Azhar, B, Azpiroz, AB, Baeten, L, Baldi, A, Banks, JE, Barlow, J, Batary, P, Bates, AJ, Bayne, EM, Beja, P, Berg, A, Berry, NJ, Bicknell, JE, Bihn, JH, Boehning-Gaese, K, Boekhout, T, Boutin, C, Bouyer, J, Brearley, FQ, Brito, I, Brunet, J, Buczkowski, G, Buscardo, E, Cabra-Garcia, J, Calvino-Cancela, M, Cameron, SA, Cancello, EM, Carrijo, TF, Carvalho, AL, Castro, H, Castro-Luna, AA, Cerda, R, Cerezo, A, Chauvat, M, Clarke, FM, Cleary, DFR, Connop, SP, D'Aniello, B, da Silva, PG, Darvill, B, Dauber, J, Dejean, A, Diekoetter, T, Dominguez-Haydar, Y, Dormann, CF, Dumont, B, Dures, SG, Dynesius, M, Edenius, L, Elek, Z, Entling, MH, Farwig, N, Fayle, TM, Felicioli, A, Felton, AM, Ficetola, GF, Filgueiras, BKC, Fonte, SJ, Fraser, LH, Fukuda, D, Furlani, D, Ganzhorn, JU, Garden, JG, Gheler-Costa, C, Giordani, P, Giordano, S, Gottschalk, MS, Goulson, D, Gove, AD, Grogan, J, Hanley, ME, Hanson, T, Hashim, NR, Hawes, JE, Hebert, C, Helden, AJ, Henden, J-A, Hernandez, L, Herzog, F, Higuera-Diaz, D, Hilje, B, Horgan, FG, Horvath, R, Hylander, K, Isaacs-Cubides, P, Ishitani, M, Jacobs, CT, Jaramillo, VJ, Jauker, B, Jonsell, M, Jung, TS, Kapoor, V, Kati, V, Katovai, E, Kessler, M, Knop, E, Kolb, A, Koroesi, A, Lachat, T, Lantschner, V, Le Feon, V, LeBuhn, G, Legare, J-P, Letcher, SG, Littlewood, NA, Lopez-Quintero, CA, Louhaichi, M, Loevei, GL, Lucas-Borja, ME, Luja, VH, Maeto, K, Magura, T, Mallari, NA, Marin-Spiotta, E, Marshall, EJP, Martinez, E, Mayfield, MM, Mikusinski, G, Milder, JC, Miller, JR, Morales, CL, Muchane, MN, Muchane, M, Naidoo, R, Nakamura, A, Naoe, S, Nates-Parra, G, Navarrete Gutierrez, DA, Neuschulz, EL, Noreika, N, Norfolk, O, Noriega, JA, Noeske, NM, O'Dea, N, Oduro, W, Ofori-Boateng, C, Oke, CO, Osgathorpe, LM, Paritsis, J, Parra-H, A, Pelegrin, N, Peres, CA, Persson, AS, Petanidou, T, Phalan, B, Philips, TK, Poveda, K, Power, EF, Presley, SJ, Proenca, V, Quaranta, M, Quintero, C, Redpath-Downing, NA, Reid, JL, Reis, YT, Ribeiro, DB, Richardson, BA, Richardson, MJ, Robles, CA, Roembke, J, Romero-Duque, LP, Rosselli, L, Rossiter, SJ, Roulston, TH, Rousseau, L, Sadler, JP, Safian, S, Saldana-Vazquez, RA, Samnegard, U, Schueepp, C, Schweiger, O, Sedlock, JL, Shahabuddin, G, Sheil, D, Silva, FAB, Slade, EM, Smith-Pardo, AH, Sodhi, NS, Somarriba, EJ, Sosa, RA, Stout, JC, Struebig, MJ, Sung, Y-H, Threlfall, CG, Tonietto, R, Tothmeresz, B, Tscharntke, T, Turner, EC, Tylianakis, JM, Vanbergen, AJ, Vassilev, K, Verboven, HAF, Vergara, CH, Vergara, PM, Verhulst, J, Walker, TR, Wang, Y, Watling, JI, Wells, K, Williams, CD, Willig, MR, Woinarski, JCZ, Wolf, JHD, Woodcock, BA, Yu, DW, Zaitsev, AS, Collen, B, Ewers, RM, Mace, GM, Purves, DW, Scharlemann, JPW, Purvis, A, Hudson, LN, Newbold, T, Contu, S, Hill, SLL, Lysenko, I, De Palma, A, Phillips, HRP, Senior, RA, Bennett, DJ, Booth, H, Choimes, A, Correia, DLP, Day, J, Echeverria-Londono, S, Garon, M, Harrison, MLK, Ingram, DJ, Jung, M, Kemp, V, Kirkpatrick, L, Martin, CD, Pan, Y, White, HJ, Aben, J, Abrahamczyk, S, Adum, GB, Aguilar-Barquero, V, Aizen, MA, Ancrenaz, M, Arbelaez-Cortes, E, Armbrecht, I, Azhar, B, Azpiroz, AB, Baeten, L, Baldi, A, Banks, JE, Barlow, J, Batary, P, Bates, AJ, Bayne, EM, Beja, P, Berg, A, Berry, NJ, Bicknell, JE, Bihn, JH, Boehning-Gaese, K, Boekhout, T, Boutin, C, Bouyer, J, Brearley, FQ, Brito, I, Brunet, J, Buczkowski, G, Buscardo, E, Cabra-Garcia, J, Calvino-Cancela, M, Cameron, SA, Cancello, EM, Carrijo, TF, Carvalho, AL, Castro, H, Castro-Luna, AA, Cerda, R, Cerezo, A, Chauvat, M, Clarke, FM, Cleary, DFR, Connop, SP, D'Aniello, B, da Silva, PG, Darvill, B, Dauber, J, Dejean, A, Diekoetter, T, Dominguez-Haydar, Y, Dormann, CF, Dumont, B, Dures, SG, Dynesius, M, Edenius, L, Elek, Z, Entling, MH, Farwig, N, Fayle, TM, Felicioli, A, Felton, AM, Ficetola, GF, Filgueiras, BKC, Fonte, SJ, Fraser, LH, Fukuda, D, Furlani, D, Ganzhorn, JU, Garden, JG, Gheler-Costa, C, Giordani, P, Giordano, S, Gottschalk, MS, Goulson, D, Gove, AD, Grogan, J, Hanley, ME, Hanson, T, Hashim, NR, Hawes, JE, Hebert, C, Helden, AJ, Henden, J-A, Hernandez, L, Herzog, F, Higuera-Diaz, D, Hilje, B, Horgan, FG, Horvath, R, Hylander, K, Isaacs-Cubides, P, Ishitani, M, Jacobs, CT, Jaramillo, VJ, Jauker, B, Jonsell, M, Jung, TS, Kapoor, V, Kati, V, Katovai, E, Kessler, M, Knop, E, Kolb, A, Koroesi, A, Lachat, T, Lantschner, V, Le Feon, V, LeBuhn, G, Legare, J-P, Letcher, SG, Littlewood, NA, Lopez-Quintero, CA, Louhaichi, M, Loevei, GL, Lucas-Borja, ME, Luja, VH, Maeto, K, Magura, T, Mallari, NA, Marin-Spiotta, E, Marshall, EJP, Martinez, E, Mayfield, MM, Mikusinski, G, Milder, JC, Miller, JR, Morales, CL, Muchane, MN, Muchane, M, Naidoo, R, Nakamura, A, Naoe, S, Nates-Parra, G, Navarrete Gutierrez, DA, Neuschulz, EL, Noreika, N, Norfolk, O, Noriega, JA, Noeske, NM, O'Dea, N, Oduro, W, Ofori-Boateng, C, Oke, CO, Osgathorpe, LM, Paritsis, J, Parra-H, A, Pelegrin, N, Peres, CA, Persson, AS, Petanidou, T, Phalan, B, Philips, TK, Poveda, K, Power, EF, Presley, SJ, Proenca, V, Quaranta, M, Quintero, C, Redpath-Downing, NA, Reid, JL, Reis, YT, Ribeiro, DB, Richardson, BA, Richardson, MJ, Robles, CA, Roembke, J, Romero-Duque, LP, Rosselli, L, Rossiter, SJ, Roulston, TH, Rousseau, L, Sadler, JP, Safian, S, Saldana-Vazquez, RA, Samnegard, U, Schueepp, C, Schweiger, O, Sedlock, JL, Shahabuddin, G, Sheil, D, Silva, FAB, Slade, EM, Smith-Pardo, AH, Sodhi, NS, Somarriba, EJ, Sosa, RA, Stout, JC, Struebig, MJ, Sung, Y-H, Threlfall, CG, Tonietto, R, Tothmeresz, B, Tscharntke, T, Turner, EC, Tylianakis, JM, Vanbergen, AJ, Vassilev, K, Verboven, HAF, Vergara, CH, Vergara, PM, Verhulst, J, Walker, TR, Wang, Y, Watling, JI, Wells, K, Williams, CD, Willig, MR, Woinarski, JCZ, Wolf, JHD, Woodcock, BA, Yu, DW, Zaitsev, AS, Collen, B, Ewers, RM, Mace, GM, Purves, DW, Scharlemann, JPW, and Purvis, A

Abstract

Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species’ threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project – and avert – future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups – including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems – www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.

Published
2014

4. Analysis of nectar from low-volume flowers: A comparison of collection methods for free amino acids.

Author

Power EF, Stabler D, Borland AM, Barnes J, and Wright GA

Abstract

Floral nectar is a reward offered by flowering plants to visiting pollinators. Nectar chemistry is important for understanding plant nutrient allocation and plant-pollinator interactions. However, many plant species are difficult to sample as their flowers are small and produce low amounts of nectar.We compared the effects of different methods of nectar collection on the amino acid composition of flowers with low volumes of nectar. We used five methods to collect nectar from 60 (5 × 12) Calluna vulgaris flowers: microcapillary tubes, a low-volume flower rinse (the micro-rinse method, using 2 μl water), filter paper, a high-volume flower rinse (2 ml water) and a flower wash (2 ml water). We analysed the samples for free amino acids using quantitative UHPLC methods .We found that the micro-rinse method (rinsing the nectary with enough water to only cover the nectary) recovered amino acid proportions similar to raw nectar extracted using microcapillary tubes. The filter paper, 2 ml rinse and 2 ml wash methods measured significantly higher values of free amino acids and also altered the profile of amino acids. We discuss our concerns about the increased contamination risk of the filter paper and high-volume rinse and wash samples from dried nectar across the floral tissue (nectar unavailable to floral visitors), pollen, vascular fluid and cellular fluid.Our study will enable researchers to make informed decisions about nectar collection methods depending on their intended chemical analysis. These methods of sampling will enable researchers to examine a larger array of plant species' flowers to include those with low volumes of nectar.

Published
2018
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5. A method for analysing small samples of floral pollen for free and protein-bound amino acids.

Author

Stabler D, Power EF, Borland AM, Barnes JD, and Wright GA

Abstract

Pollen provides floral visitors with essential nutrients including proteins, lipids, vitamins and minerals. As an important nutrient resource for pollinators, including honeybees and bumblebees, pollen quality is of growing interest in assessing available nutrition to foraging bees. To date, quantifying the protein-bound amino acids in pollen has been difficult and methods rely on large amounts of pollen, typically more than 1 g. More usual is to estimate a crude protein value based on the nitrogen content of pollen, however, such methods provide no information on the distribution of essential and non-essential amino acids constituting the proteins.Here, we describe a method of microwave-assisted acid hydrolysis using low amounts of pollen that allows exploration of amino acid composition, quantified using ultra high performance liquid chromatography (UHPLC), and a back calculation to estimate the crude protein content of pollen.Reliable analysis of protein-bound and free amino acids as well as an estimation of crude protein concentration was obtained from pollen samples as low as 1 mg. Greater variation in both protein-bound and free amino acids was found in pollen sample sizes <1 mg. Due to the variability in recovery of amino acids in smaller sample sizes, we suggest a correction factor to apply to specific sample sizes of pollen in order to estimate total crude protein content.The method described in this paper will allow researchers to explore the composition of amino acids in pollen and will aid research assessing the available nutrition to pollinating animals. This method will be particularly useful in assaying the pollen of wild plants, from which it is difficult to obtain large sample weights.

Published
2018
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6. Nutritional composition of honey bee food stores vary with floral composition.

Author

Donkersley P, Rhodes G, Pickup RW, Jones KC, Power EF, Wright GA, and Wilson K

Subjects
Amino Acids analysis, Animals, DNA, Plant genetics, Diet, England, Feeding Behavior, Plants genetics, Pollen genetics, Sequence Analysis, DNA, Bees physiology, Plants classification, Pollen chemistry
Abstract

Sufficiently diverse and abundant resources are essential for generalist consumers, and form an important part of a suite of conservation strategies for pollinators. Honey bees are generalist foragers and are dependent on diverse forage to adequately meet their nutritional needs. Through analysis of stored pollen (bee bread) samples obtained from 26 honey bee (Apis mellifera L.) hives across NW-England, we quantified bee bread nutritional content and the plant species that produced these stores from pollen. Protein was the most abundant nutrient by mass (63%), followed by carbohydrates (26%). Protein and lipid content (but not carbohydrate) contributed significantly to ordinations of floral diversity, linking dietary quality with forage composition. DNA sequencing of the ITS2 region of the nuclear ribosomal DNA gene identified pollen from 89 distinct plant genera, with each bee bread sample containing between 6 and 35 pollen types. Dominant genera included dandelion (Taraxacum), which was positively correlated with bee bread protein content, and cherry (Prunus), which was negatively correlated with the amount of protein. In addition, proportions of amino acids (e.g. histidine and valine) varied as a function of floral species composition. These results also quantify the effects of individual plant genera on the nutrition of honey bees. We conclude that pollens of different plants act synergistically to influence host nutrition; the pollen diversity of bee bread is linked to its nutrient content. Diverse environments compensate for the loss of individual forage plants, and diversity loss may, therefore, destabilize consumer communities due to restricted access to alternative resources.

Published
2017
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7. The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project.

Author

Hudson LN, Newbold T, Contu S, Hill SL, Lysenko I, De Palma A, Phillips HR, Alhusseini TI, Bedford FE, Bennett DJ, Booth H, Burton VJ, Chng CW, Choimes A, Correia DL, Day J, Echeverría-Londoño S, Emerson SR, Gao D, Garon M, Harrison ML, Ingram DJ, Jung M, Kemp V, Kirkpatrick L, Martin CD, Pan Y, Pask-Hale GD, Pynegar EL, Robinson AN, Sanchez-Ortiz K, Senior RA, Simmons BI, White HJ, Zhang H, Aben J, Abrahamczyk S, Adum GB, Aguilar-Barquero V, Aizen MA, Albertos B, Alcala EL, Del Mar Alguacil M, Alignier A, Ancrenaz M, Andersen AN, Arbeláez-Cortés E, Armbrecht I, Arroyo-Rodríguez V, Aumann T, Axmacher JC, Azhar B, Azpiroz AB, Baeten L, Bakayoko A, Báldi A, Banks JE, Baral SK, Barlow J, Barratt BI, Barrico L, Bartolommei P, Barton DM, Basset Y, Batáry P, Bates AJ, Baur B, Bayne EM, Beja P, Benedick S, Berg Å, Bernard H, Berry NJ, Bhatt D, Bicknell JE, Bihn JH, Blake RJ, Bobo KS, Bóçon R, Boekhout T, Böhning-Gaese K, Bonham KJ, Borges PA, Borges SH, Boutin C, Bouyer J, Bragagnolo C, Brandt JS, Brearley FQ, Brito I, Bros V, Brunet J, Buczkowski G, Buddle CM, Bugter R, Buscardo E, Buse J, Cabra-García J, Cáceres NC, Cagle NL, Calviño-Cancela M, Cameron SA, Cancello EM, Caparrós R, Cardoso P, Carpenter D, Carrijo TF, Carvalho AL, Cassano CR, Castro H, Castro-Luna AA, Rolando CB, Cerezo A, Chapman KA, Chauvat M, Christensen M, Clarke FM, Cleary DF, Colombo G, Connop SP, Craig MD, Cruz-López L, Cunningham SA, D'Aniello B, D'Cruze N, da Silva PG, Dallimer M, Danquah E, Darvill B, Dauber J, Davis AL, Dawson J, de Sassi C, de Thoisy B, Deheuvels O, Dejean A, Devineau JL, Diekötter T, Dolia JV, Domínguez E, Dominguez-Haydar Y, Dorn S, Draper I, Dreber N, Dumont B, Dures SG, Dynesius M, Edenius L, Eggleton P, Eigenbrod F, Elek Z, Entling MH, Esler KJ, de Lima RF, Faruk A, Farwig N, Fayle TM, Felicioli A, Felton AM, Fensham RJ, Fernandez IC, Ferreira CC, Ficetola GF, Fiera C, Filgueiras BK, Fırıncıoğlu HK, Flaspohler D, Floren A, Fonte SJ, Fournier A, Fowler RE, Franzén M, Fraser LH, Fredriksson GM, Freire GB Jr, Frizzo TL, Fukuda D, Furlani D, Gaigher R, Ganzhorn JU, García KP, Garcia-R JC, Garden JG, Garilleti R, Ge BM, Gendreau-Berthiaume B, Gerard PJ, Gheler-Costa C, Gilbert B, Giordani P, Giordano S, Golodets C, Gomes LG, Gould RK, Goulson D, Gove AD, Granjon L, Grass I, Gray CL, Grogan J, Gu W, Guardiola M, Gunawardene NR, Gutierrez AG, Gutiérrez-Lamus DL, Haarmeyer DH, Hanley ME, Hanson T, Hashim NR, Hassan SN, Hatfield RG, Hawes JE, Hayward MW, Hébert C, Helden AJ, Henden JA, Henschel P, Hernández L, Herrera JP, Herrmann F, Herzog F, Higuera-Diaz D, Hilje B, Höfer H, Hoffmann A, Horgan FG, Hornung E, Horváth R, Hylander K, Isaacs-Cubides P, Ishida H, Ishitani M, Jacobs CT, Jaramillo VJ, Jauker B, Hernández FJ, Johnson MF, Jolli V, Jonsell M, Juliani SN, Jung TS, Kapoor V, Kappes H, Kati V, Katovai E, Kellner K, Kessler M, Kirby KR, Kittle AM, Knight ME, Knop E, Kohler F, Koivula M, Kolb A, Kone M, Kőrösi Á, Krauss J, Kumar A, Kumar R, Kurz DJ, Kutt AS, Lachat T, Lantschner V, Lara F, Lasky JR, Latta SC, Laurance WF, Lavelle P, Le Féon V, LeBuhn G, Légaré JP, Lehouck V, Lencinas MV, Lentini PE, Letcher SG, Li Q, Litchwark SA, Littlewood NA, Liu Y, Lo-Man-Hung N, López-Quintero CA, Louhaichi M, Lövei GL, Lucas-Borja ME, Luja VH, Luskin MS, MacSwiney G MC, Maeto K, Magura T, Mallari NA, Malone LA, Malonza PK, Malumbres-Olarte J, Mandujano S, Måren IE, Marin-Spiotta E, Marsh CJ, Marshall EJ, Martínez E, Martínez Pastur G, Moreno Mateos D, Mayfield MM, Mazimpaka V, McCarthy JL, McCarthy KP, McFrederick QS, McNamara S, Medina NG, Medina R, Mena JL, Mico E, Mikusinski G, Milder JC, Miller JR, Miranda-Esquivel DR, Moir ML, Morales CL, Muchane MN, Muchane M, Mudri-Stojnic S, Munira AN, Muoñz-Alonso A, Munyekenye BF, Naidoo R, Naithani A, Nakagawa M, Nakamura A, Nakashima Y, Naoe S, Nates-Parra G, Navarrete Gutierrez DA, Navarro-Iriarte L, Ndang'ang'a PK, Neuschulz EL, Ngai JT, Nicolas V, Nilsson SG, Noreika N, Norfolk O, Noriega JA, Norton DA, Nöske NM, Nowakowski AJ, Numa C, O'Dea N, O'Farrell PJ, Oduro W, Oertli S, Ofori-Boateng C, Oke CO, Oostra V, Osgathorpe LM, Otavo SE, Page NV, Paritsis J, Parra-H A, Parry L, Pe'er G, Pearman PB, Pelegrin N, Pélissier R, Peres CA, Peri PL, Persson AS, Petanidou T, Peters MK, Pethiyagoda RS, Phalan B, Philips TK, Pillsbury FC, Pincheira-Ulbrich J, Pineda E, Pino J, Pizarro-Araya J, Plumptre AJ, Poggio SL, Politi N, Pons P, Poveda K, Power EF, Presley SJ, Proença V, Quaranta M, Quintero C, Rader R, Ramesh BR, Ramirez-Pinilla MP, Ranganathan J, Rasmussen C, Redpath-Downing NA, Reid JL, Reis YT, Rey Benayas JM, Rey-Velasco JC, Reynolds C, Ribeiro DB, Richards MH, Richardson BA, Richardson MJ, Ríos RM, Robinson R, Robles CA, Römbke J, Romero-Duque LP, Rös M, Rosselli L, Rossiter SJ, Roth DS, Roulston TH, Rousseau L, Rubio AV, Ruel JC, Sadler JP, Sáfián S, Saldaña-Vázquez RA, Sam K, Samnegård U, Santana J, Santos X, Savage J, Schellhorn NA, Schilthuizen M, Schmiedel U, Schmitt CB, Schon NL, Schüepp C, Schumann K, Schweiger O, Scott DM, Scott KA, Sedlock JL, Seefeldt SS, Shahabuddin G, Shannon G, Sheil D, Sheldon FH, Shochat E, Siebert SJ, Silva FA, Simonetti JA, Slade EM, Smith J, Smith-Pardo AH, Sodhi NS, Somarriba EJ, Sosa RA, Soto Quiroga G, St-Laurent MH, Starzomski BM, Stefanescu C, Steffan-Dewenter I, Stouffer PC, Stout JC, Strauch AM, Struebig MJ, Su Z, Suarez-Rubio M, Sugiura S, Summerville KS, Sung YH, Sutrisno H, Svenning JC, Teder T, Threlfall CG, Tiitsaar A, Todd JH, Tonietto RK, Torre I, Tóthmérész B, Tscharntke T, Turner EC, Tylianakis JM, Uehara-Prado M, Urbina-Cardona N, Vallan D, Vanbergen AJ, Vasconcelos HL, Vassilev K, Verboven HA, Verdasca MJ, Verdú JR, Vergara CH, Vergara PM, Verhulst J, Virgilio M, Vu LV, Waite EM, Walker TR, Wang HF, Wang Y, Watling JI, Weller B, Wells K, Westphal C, Wiafe ED, Williams CD, Willig MR, Woinarski JC, Wolf JH, Wolters V, Woodcock BA, Wu J, Wunderle JM Jr, Yamaura Y, Yoshikura S, Yu DW, Zaitsev AS, Zeidler J, Zou F, Collen B, Ewers RM, Mace GM, Purves DW, Scharlemann JP, and Purvis A

Abstract

The PREDICTS project-Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)-has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.

Published
2016
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8. Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases.

Author

De Palma A, Abrahamczyk S, Aizen MA, Albrecht M, Basset Y, Bates A, Blake RJ, Boutin C, Bugter R, Connop S, Cruz-López L, Cunningham SA, Darvill B, Diekötter T, Dorn S, Downing N, Entling MH, Farwig N, Felicioli A, Fonte SJ, Fowler R, Franzén M, Goulson D, Grass I, Hanley ME, Hendrix SD, Herrmann F, Herzog F, Holzschuh A, Jauker B, Kessler M, Knight ME, Kruess A, Lavelle P, Le Féon V, Lentini P, Malone LA, Marshall J, Pachón EM, McFrederick QS, Morales CL, Mudri-Stojnic S, Nates-Parra G, Nilsson SG, Öckinger E, Osgathorpe L, Parra-H A, Peres CA, Persson AS, Petanidou T, Poveda K, Power EF, Quaranta M, Quintero C, Rader R, Richards MH, Roulston T, Rousseau L, Sadler JP, Samnegård U, Schellhorn NA, Schüepp C, Schweiger O, Smith-Pardo AH, Steffan-Dewenter I, Stout JC, Tonietto RK, Tscharntke T, Tylianakis JM, Verboven HA, Vergara CH, Verhulst J, Westphal C, Yoon HJ, and Purvis A

Subjects
Animals, Bees classification, Conservation of Natural Resources, Geography, Bees physiology
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.

Published
2016
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9. The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts.

Author

Hudson LN, Newbold T, Contu S, Hill SL, Lysenko I, De Palma A, Phillips HR, Senior RA, Bennett DJ, Booth H, Choimes A, Correia DL, Day J, Echeverría-Londoño S, Garon M, Harrison ML, Ingram DJ, Jung M, Kemp V, Kirkpatrick L, Martin CD, Pan Y, White HJ, Aben J, Abrahamczyk S, Adum GB, Aguilar-Barquero V, Aizen MA, Ancrenaz M, Arbeláez-Cortés E, Armbrecht I, Azhar B, Azpiroz AB, Baeten L, Báldi A, Banks JE, Barlow J, Batáry P, Bates AJ, Bayne EM, Beja P, Berg Å, Berry NJ, Bicknell JE, Bihn JH, Böhning-Gaese K, Boekhout T, Boutin C, Bouyer J, Brearley FQ, Brito I, Brunet J, Buczkowski G, Buscardo E, Cabra-García J, Calviño-Cancela M, Cameron SA, Cancello EM, Carrijo TF, Carvalho AL, Castro H, Castro-Luna AA, Cerda R, Cerezo A, Chauvat M, Clarke FM, Cleary DF, Connop SP, D'Aniello B, da Silva PG, Darvill B, Dauber J, Dejean A, Diekötter T, Dominguez-Haydar Y, Dormann CF, Dumont B, Dures SG, Dynesius M, Edenius L, Elek Z, Entling MH, Farwig N, Fayle TM, Felicioli A, Felton AM, Ficetola GF, Filgueiras BK, Fonte SJ, Fraser LH, Fukuda D, Furlani D, Ganzhorn JU, Garden JG, Gheler-Costa C, Giordani P, Giordano S, Gottschalk MS, Goulson D, Gove AD, Grogan J, Hanley ME, Hanson T, Hashim NR, Hawes JE, Hébert C, Helden AJ, Henden JA, Hernández L, Herzog F, Higuera-Diaz D, Hilje B, Horgan FG, Horváth R, Hylander K, Isaacs-Cubides P, Ishitani M, Jacobs CT, Jaramillo VJ, Jauker B, Jonsell M, Jung TS, Kapoor V, Kati V, Katovai E, Kessler M, Knop E, Kolb A, Kőrösi Á, Lachat T, Lantschner V, Le Féon V, LeBuhn G, Légaré JP, Letcher SG, Littlewood NA, López-Quintero CA, Louhaichi M, Lövei GL, Lucas-Borja ME, Luja VH, Maeto K, Magura T, Mallari NA, Marin-Spiotta E, Marshall EJ, Martínez E, Mayfield MM, Mikusinski G, Milder JC, Miller JR, Morales CL, Muchane MN, Muchane M, Naidoo R, Nakamura A, Naoe S, Nates-Parra G, Navarrete Gutierrez DA, Neuschulz EL, Noreika N, Norfolk O, Noriega JA, Nöske NM, O'Dea N, Oduro W, Ofori-Boateng C, Oke CO, Osgathorpe LM, Paritsis J, Parra-H A, Pelegrin N, Peres CA, Persson AS, Petanidou T, Phalan B, Philips TK, Poveda K, Power EF, Presley SJ, Proença V, Quaranta M, Quintero C, Redpath-Downing NA, Reid JL, Reis YT, Ribeiro DB, Richardson BA, Richardson MJ, Robles CA, Römbke J, Romero-Duque LP, Rosselli L, Rossiter SJ, Roulston TH, Rousseau L, Sadler JP, Sáfián S, Saldaña-Vázquez RA, Samnegård U, Schüepp C, Schweiger O, Sedlock JL, Shahabuddin G, Sheil D, Silva FA, Slade EM, Smith-Pardo AH, Sodhi NS, Somarriba EJ, Sosa RA, Stout JC, Struebig MJ, Sung YH, Threlfall CG, Tonietto R, Tóthmérész B, Tscharntke T, Turner EC, Tylianakis JM, Vanbergen AJ, Vassilev K, Verboven HA, Vergara CH, Vergara PM, Verhulst J, Walker TR, Wang Y, Watling JI, Wells K, Williams CD, Willig MR, Woinarski JC, Wolf JH, Woodcock BA, Yu DW, Zaitsev AS, Collen B, Ewers RM, Mace GM, Purves DW, Scharlemann JP, and Purvis A

Abstract

Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species' threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project - and avert - future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups - including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems - http://www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.

Published
2014
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10. The potential for indirect effects between co-flowering plants via shared pollinators depends on resource abundance, accessibility and relatedness.

Author

Carvalheiro LG, Biesmeijer JC, Benadi G, Fründ J, Stang M, Bartomeus I, Kaiser-Bunbury CN, Baude M, Gomes SI, Merckx V, Baldock KC, Bennett AT, Boada R, Bommarco R, Cartar R, Chacoff N, Dänhardt J, Dicks LV, Dormann CF, Ekroos J, Henson KS, Holzschuh A, Junker RR, Lopezaraiza-Mikel M, Memmott J, Montero-Castaño A, Nelson IL, Petanidou T, Power EF, Rundlöf M, Smith HG, Stout JC, Temitope K, Tscharntke T, Tscheulin T, Vilà M, and Kunin WE

Subjects
Animals, Bees, Diptera, Models, Biological, Plant Nectar chemistry, Flowers genetics, Magnoliopsida genetics, Phylogeny, Pollination
Abstract

Co-flowering plant species commonly share flower visitors, and thus have the potential to influence each other's pollination. In this study we analysed 750 quantitative plant-pollinator networks from 28 studies representing diverse biomes worldwide. We show that the potential for one plant species to influence another indirectly via shared pollinators was greater for plants whose resources were more abundant (higher floral unit number and nectar sugar content) and more accessible. The potential indirect influence was also stronger between phylogenetically closer plant species and was independent of plant geographic origin (native vs. non-native). The positive effect of nectar sugar content and phylogenetic proximity was much more accentuated for bees than for other groups. Consequently, the impact of these factors depends on the pollination mode of plants, e.g. bee or fly pollinated. Our findings may help predict which plant species have the greatest importance in the functioning of plant-pollination networks., (© 2014 The Authors. Ecology Letters published by John Wiley & Sons Ltd and CNRS.)

Published
2014
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11. Caffeine in floral nectar enhances a pollinator's memory of reward.

Author

Wright GA, Baker DD, Palmer MJ, Stabler D, Mustard JA, Power EF, Borland AM, and Stevenson PC

Subjects
Animals, Bees physiology, Caffeine analysis, Citrus chemistry, Coffea chemistry, Flowers chemistry, Flowers physiology, Mushroom Bodies drug effects, Mushroom Bodies physiology, Plant Nectar chemistry, Pollination physiology, Reward, Taste drug effects, Bees drug effects, Behavior, Animal drug effects, Caffeine pharmacology, Citrus physiology, Coffea physiology, Memory drug effects, Plant Nectar physiology, Pollination drug effects
Abstract

Plant defense compounds occur in floral nectar, but their ecological role is not well understood. We provide evidence that plant compounds pharmacologically alter pollinator behavior by enhancing their memory of reward. Honeybees rewarded with caffeine, which occurs naturally in nectar of Coffea and Citrus species, were three times as likely to remember a learned floral scent as were honeybees rewarded with sucrose alone. Caffeine potentiated responses of mushroom body neurons involved in olfactory learning and memory by acting as an adenosine receptor antagonist. Caffeine concentrations in nectar did not exceed the bees' bitter taste threshold, implying that pollinators impose selection for nectar that is pharmacologically active but not repellent. By using a drug to enhance memories of reward, plants secure pollinator fidelity and improve reproductive success.

Published
2013
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12. Organic farming and landscape structure: effects on insect-pollinated plant diversity in intensively managed grasslands.

Author

Power EF, Kelly DL, and Stout JC

Subjects
Animals, Dairying, Ecosystem, Poaceae growth & development, Biodiversity, Insecta physiology, Organic Agriculture, Poaceae classification, Pollination
Abstract

Parallel declines in insect-pollinated plants and their pollinators have been reported as a result of agricultural intensification. Intensive arable plant communities have previously been shown to contain higher proportions of self-pollinated plants compared to natural or semi-natural plant communities. Though intensive grasslands are widespread, it is not known whether they show similar patterns to arable systems nor whether local and/or landscape factors are influential. We investigated plant community composition in 10 pairs of organic and conventional dairy farms across Ireland in relation to the local and landscape context. Relationships between plant groups and local factors (farming system, position in field and soil parameters) and landscape factors (e.g. landscape complexity) were investigated. The percentage cover of unimproved grassland was used as an inverse predictor of landscape complexity, as it was negatively correlated with habitat-type diversity. Intensive grasslands (organic and conventional) contained more insect-pollinated forbs than non-insect pollinated forbs. Organic field centres contained more insect-pollinated forbs than conventional field centres. Insect-pollinated forb richness in field edges (but not field centres) increased with increasing landscape complexity (% unimproved grassland) within 1, 3, 4 and 5km radii around sites, whereas non-insect pollinated forb richness was unrelated to landscape complexity. Pollination systems within intensive grassland communities may be different from those in arable systems. Our results indicate that organic management increases plant richness in field centres, but that landscape complexity exerts strong influences in both organic and conventional field edges. Insect-pollinated forb richness, unlike that for non-insect pollinated forbs, showed positive relationships to landscape complexity reflecting what has been documented for bees and other pollinators. The insect-pollinated forbs, their pollinators and landscape context are clearly linked. This needs to be taken into account when managing and conserving insect-pollinated plant and pollinator communities.

Published
2012
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