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4. Terrestrial and Freshwater Ecosystems and Their Services

Author

Singh, Bettina, Parmesan, C, Morecroft, MD, Trisurat, Y, Adrian, R, Anshari, GZ, Arneth, A, Gao, Q, Gonzalez, P, Harris, R, Price, J, Stevens, N, Talukdar, GH, Strutz, SE, Ackerly, DD, Anderson, E, Boyd, P, Birkmann, J, Bremerich, V, Brotons, L, Buotte, P, Campbell, D, Castellanos, E, Chen, Y-Y, Cissé, G, Cooley, S, Cowie, A, Dhimal, M, Domisch, S, Donner, S, Douwes, Errol, Escobar, LE, Rivera Ferre, M, Flecker, A, Foden, W, Gallagher, RV, Gaxiola, A, Gemeda, A, Goulding, M, Grey, K-A, López Gunn, E, Harrison, S, Hicke, J, Hilmi, NJM, Barragan-Jason, G, Keith, DA, Bezner Kerr, R, Kraemer, BM, Langhans, S, Lasco, R, Latimer, A, Lempert, R, Lluch-Cota, SE, Loisel, J, Mackey, J, Martinetto, P, Matthews, R, McPhearson, T, Mauritzen, M, Midgley, G, Mordecai, E, Moreira, F, Mukherji, A, Myers-Smith, I, Nabuurs, G-J, Neufeldt, H, Pearce-Higgins, J, Pecl, G, Pedace, R, Townsend Peterson, A, Piepenburg, D, Postigo, JC, Pulhin, J, Racault, M-F, Rocklöv, J, Rogelj, J, Rost, B, Romanello, M, Gallego-Sala, A, Schmidt, D, Schoeman, D, Seddon, N, Semenza, JC, Singer, MC, Singh, PK, Slingsby, J, Smith, P, Sukumar, R, Tirado, MC, Trisos, C, Turetsky, M, Turner, B, van Aalst, M, Young, K, Singh, Bettina, Parmesan, C, Morecroft, MD, Trisurat, Y, Adrian, R, Anshari, GZ, Arneth, A, Gao, Q, Gonzalez, P, Harris, R, Price, J, Stevens, N, Talukdar, GH, Strutz, SE, Ackerly, DD, Anderson, E, Boyd, P, Birkmann, J, Bremerich, V, Brotons, L, Buotte, P, Campbell, D, Castellanos, E, Chen, Y-Y, Cissé, G, Cooley, S, Cowie, A, Dhimal, M, Domisch, S, Donner, S, Douwes, Errol, Escobar, LE, Rivera Ferre, M, Flecker, A, Foden, W, Gallagher, RV, Gaxiola, A, Gemeda, A, Goulding, M, Grey, K-A, López Gunn, E, Harrison, S, Hicke, J, Hilmi, NJM, Barragan-Jason, G, Keith, DA, Bezner Kerr, R, Kraemer, BM, Langhans, S, Lasco, R, Latimer, A, Lempert, R, Lluch-Cota, SE, Loisel, J, Mackey, J, Martinetto, P, Matthews, R, McPhearson, T, Mauritzen, M, Midgley, G, Mordecai, E, Moreira, F, Mukherji, A, Myers-Smith, I, Nabuurs, G-J, Neufeldt, H, Pearce-Higgins, J, Pecl, G, Pedace, R, Townsend Peterson, A, Piepenburg, D, Postigo, JC, Pulhin, J, Racault, M-F, Rocklöv, J, Rogelj, J, Rost, B, Romanello, M, Gallego-Sala, A, Schmidt, D, Schoeman, D, Seddon, N, Semenza, JC, Singer, MC, Singh, PK, Slingsby, J, Smith, P, Sukumar, R, Tirado, MC, Trisos, C, Turetsky, M, Turner, B, van Aalst, M, and Young, K

Published
2022

6. BioTIME: a database of biodiversity time series for the Anthropocene

Author

Dornelas, M, Antão, LH, Moyes, F, Bates, AE, Magurran, AE, Adam, D, Akhmetzhanova, AA, Appeltans, W, Arcos, JM, Arnold, H, Ayyappan, N, Badihi, G, Baird, AH, Barbosa, M, Barreto, TE, Bässler, C, Bellgrove, Alecia, Belmaker, J, Benedetti-Cecchi, L, Bett, BJ, Bjorkman, AD, Błażewicz, M, Blowes, SA, Bloch, CP, Bonebrake, TC, Boyd, S, Bradford, M, Brooks, AJ, Brown, JH, Bruelheide, H, Budy, P, Carvalho, F, Castañeda-Moya, E, Chen, CA, Chamblee, JF, Chase, TJ, Siegwart Collier, L, Collinge, SK, Condit, R, Cooper, EJ, Cornelissen, JHC, Cotano, U, Kyle Crow, S, Damasceno, G, Davies, CH, Davis, RA, Day, FP, Degraer, S, Doherty, Timothy, Dunn, TE, Durigan, G, Duffy, JE, Edelist, D, Edgar, GJ, Elahi, R, Elmendorf, SC, Enemar, A, Ernest, SKM, Escribano, R, Estiarte, M, Evans, BS, Fan, T-Y, Turini Farah, F, Loureiro Fernandes, L, Farneda, FZ, Fidelis, A, Fitt, R, Fosaa, AM, Daher Correa Franco, GA, Frank, GE, Fraser, WR, García, H, Cazzolla Gatti, R, Givan, O, Gorgone-Barbosa, E, Gould, WA, Gries, C, Grossman, GD, Gutierréz, JR, Hale, S, Harmon, ME, Harte, J, Haskins, G, Henshaw, DL, Hermanutz, L, Hidalgo, P, Higuchi, P, Hoey, A, Van Hoey, G, Hofgaard, A, Holeck, K, Hollister, RD, Holmes, R, Hoogenboom, M, Hsieh, C-H, Hubbell, SP, Huettmann, F, Huffard, CL, Hurlbert, AH, Macedo Ivanauskas, N, Janík, D, Jandt, U, Jażdżewska, A, Johannessen, T, Johnstone, J, Jones, J, Jones, FAM, Kang, J, Kartawijaya, T, Keeley, EC, Kelt, DA, Kinnear, R, Klanderud, K, Knutsen, H, Koenig, CC, Kortz, AR, Král, K, Kuhnz, LA, Kuo, C-Y, Kushner, DJ, Laguionie-Marchais, C, Lancaster, LT, Min Lee, C, Lefcheck, JS, Lévesque, E, Lightfoot, D, Lloret, F, Lloyd, JD, López-Baucells, A, Louzao, M, Madin, JS, Magnússon, B, Malamud, S, Matthews, I, McFarland, KP, McGill, B, McKnight, D, McLarney, WO, Meador, J, Meserve, PL, Metcalfe, DJ, Meyer, CFJ, Michelsen, A, Milchakova, N, Moens, T, Moland, E, Moore, J, Mathias Moreira, C, Müller, J, Murphy, G, Myers-Smith, IH, Myster, RW, Naumov, A, Neat, F, Nelson, JA, Paul Nelson, M, Newton, SF, Norden, N, Oliver, JC, Olsen, EM, Onipchenko, VG, Pabis, K, Pabst, RJ, Paquette, A, Pardede, S, Paterson, DM, Pélissier, R, Peñuelas, J, Pérez-Matus, A, Pizarro, O, Pomati, F, Post, E, Prins, HHT, Priscu, JC, Provoost, P, Prudic, KL, Pulliainen, E, Ramesh, BR, Mendivil Ramos, O, Rassweiler, A, Rebelo, JE, Reed, DC, Reich, PB, Remillard, SM, Richardson, AJ, Richardson, JP, van Rijn, I, Rocha, R, Rivera-Monroy, VH, Rixen, C, Robinson, KP, Ribeiro Rodrigues, R, de Cerqueira Rossa-Feres, D, Rudstam, L, Ruhl, H, Ruz, CS, Sampaio, EM, Rybicki, N, Rypel, A, Sal, S, Salgado, B, Santos, FAM, Savassi-Coutinho, AP, Scanga, S, Schmidt, J, Schooley, R, Setiawan, F, Shao, K-T, Shaver, GR, Sherman, S, Sherry, TW, Siciński, J, Sievers, C, da Silva, AC, Rodrigues da Silva, F, Silveira, FL, Slingsby, J, Smart, T, Snell, SJ, Soudzilovskaia, NA, Souza, GBG, Maluf Souza, F, Castro Souza, V, Stallings, CD, Stanforth, R, Stanley, EH, Mauro Sterza, J, Stevens, M, Stuart-Smith, R, Rondon Suarez, Y, Supp, S, Yoshio Tamashiro, J, Tarigan, S, Thiede, GP, Thorn, S, Tolvanen, A, Teresa Zugliani Toniato, M, Totland, Ø, Twilley, RR, Vaitkus, G, Valdivia, N, Vallejo, MI, Valone, TJ, Van Colen, C, Vanaverbeke, J, Venturoli, F, Verheye, HM, Vianna, M, Vieira, RP, Vrška, T, Quang Vu, C, Van Vu, L, Waide, RB, Waldock, C, Watts, D, Webb, S, Wesołowski, T, White, EP, Widdicombe, CE, Wilgers, D, Williams, R, Williams, SB, Williamson, M, Willig, MR, Willis, TJ, Wipf, S, Woods, KD, Woehler, EJ, Zawada, K, Zettler, ML, Hickler, T, Dornelas, M, Antão, LH, Moyes, F, Bates, AE, Magurran, AE, Adam, D, Akhmetzhanova, AA, Appeltans, W, Arcos, JM, Arnold, H, Ayyappan, N, Badihi, G, Baird, AH, Barbosa, M, Barreto, TE, Bässler, C, Bellgrove, Alecia, Belmaker, J, Benedetti-Cecchi, L, Bett, BJ, Bjorkman, AD, Błażewicz, M, Blowes, SA, Bloch, CP, Bonebrake, TC, Boyd, S, Bradford, M, Brooks, AJ, Brown, JH, Bruelheide, H, Budy, P, Carvalho, F, Castañeda-Moya, E, Chen, CA, Chamblee, JF, Chase, TJ, Siegwart Collier, L, Collinge, SK, Condit, R, Cooper, EJ, Cornelissen, JHC, Cotano, U, Kyle Crow, S, Damasceno, G, Davies, CH, Davis, RA, Day, FP, Degraer, S, Doherty, Timothy, Dunn, TE, Durigan, G, Duffy, JE, Edelist, D, Edgar, GJ, Elahi, R, Elmendorf, SC, Enemar, A, Ernest, SKM, Escribano, R, Estiarte, M, Evans, BS, Fan, T-Y, Turini Farah, F, Loureiro Fernandes, L, Farneda, FZ, Fidelis, A, Fitt, R, Fosaa, AM, Daher Correa Franco, GA, Frank, GE, Fraser, WR, García, H, Cazzolla Gatti, R, Givan, O, Gorgone-Barbosa, E, Gould, WA, Gries, C, Grossman, GD, Gutierréz, JR, Hale, S, Harmon, ME, Harte, J, Haskins, G, Henshaw, DL, Hermanutz, L, Hidalgo, P, Higuchi, P, Hoey, A, Van Hoey, G, Hofgaard, A, Holeck, K, Hollister, RD, Holmes, R, Hoogenboom, M, Hsieh, C-H, Hubbell, SP, Huettmann, F, Huffard, CL, Hurlbert, AH, Macedo Ivanauskas, N, Janík, D, Jandt, U, Jażdżewska, A, Johannessen, T, Johnstone, J, Jones, J, Jones, FAM, Kang, J, Kartawijaya, T, Keeley, EC, Kelt, DA, Kinnear, R, Klanderud, K, Knutsen, H, Koenig, CC, Kortz, AR, Král, K, Kuhnz, LA, Kuo, C-Y, Kushner, DJ, Laguionie-Marchais, C, Lancaster, LT, Min Lee, C, Lefcheck, JS, Lévesque, E, Lightfoot, D, Lloret, F, Lloyd, JD, López-Baucells, A, Louzao, M, Madin, JS, Magnússon, B, Malamud, S, Matthews, I, McFarland, KP, McGill, B, McKnight, D, McLarney, WO, Meador, J, Meserve, PL, Metcalfe, DJ, Meyer, CFJ, Michelsen, A, Milchakova, N, Moens, T, Moland, E, Moore, J, Mathias Moreira, C, Müller, J, Murphy, G, Myers-Smith, IH, Myster, RW, Naumov, A, Neat, F, Nelson, JA, Paul Nelson, M, Newton, SF, Norden, N, Oliver, JC, Olsen, EM, Onipchenko, VG, Pabis, K, Pabst, RJ, Paquette, A, Pardede, S, Paterson, DM, Pélissier, R, Peñuelas, J, Pérez-Matus, A, Pizarro, O, Pomati, F, Post, E, Prins, HHT, Priscu, JC, Provoost, P, Prudic, KL, Pulliainen, E, Ramesh, BR, Mendivil Ramos, O, Rassweiler, A, Rebelo, JE, Reed, DC, Reich, PB, Remillard, SM, Richardson, AJ, Richardson, JP, van Rijn, I, Rocha, R, Rivera-Monroy, VH, Rixen, C, Robinson, KP, Ribeiro Rodrigues, R, de Cerqueira Rossa-Feres, D, Rudstam, L, Ruhl, H, Ruz, CS, Sampaio, EM, Rybicki, N, Rypel, A, Sal, S, Salgado, B, Santos, FAM, Savassi-Coutinho, AP, Scanga, S, Schmidt, J, Schooley, R, Setiawan, F, Shao, K-T, Shaver, GR, Sherman, S, Sherry, TW, Siciński, J, Sievers, C, da Silva, AC, Rodrigues da Silva, F, Silveira, FL, Slingsby, J, Smart, T, Snell, SJ, Soudzilovskaia, NA, Souza, GBG, Maluf Souza, F, Castro Souza, V, Stallings, CD, Stanforth, R, Stanley, EH, Mauro Sterza, J, Stevens, M, Stuart-Smith, R, Rondon Suarez, Y, Supp, S, Yoshio Tamashiro, J, Tarigan, S, Thiede, GP, Thorn, S, Tolvanen, A, Teresa Zugliani Toniato, M, Totland, Ø, Twilley, RR, Vaitkus, G, Valdivia, N, Vallejo, MI, Valone, TJ, Van Colen, C, Vanaverbeke, J, Venturoli, F, Verheye, HM, Vianna, M, Vieira, RP, Vrška, T, Quang Vu, C, Van Vu, L, Waide, RB, Waldock, C, Watts, D, Webb, S, Wesołowski, T, White, EP, Widdicombe, CE, Wilgers, D, Williams, R, Williams, SB, Williamson, M, Willig, MR, Willis, TJ, Wipf, S, Woods, KD, Woehler, EJ, Zawada, K, Zettler, ML, and Hickler, T

Published
2018

7. BioTIME:a database of biodiversity time series for the Anthropocene

Author

Dornelas, M. (Maria), Antao, L. H. (Laura H.), Moyes, F. (Faye), Bates, A. E. (Amanda E.), Magurran, A. E. (Anne E.), Adam, D. (Dusan), Akhmetzhanova, A. A. (Asem A.), Appeltans, W. (Ward), Arcos, J. M. (Jose Manuel), Arnold, H. (Haley), Ayyappan, N. (Narayanan), Badihi, G. (Gal), Baird, A. H. (Andrew H.), Barbosa, M. (Miguel), Barreto, T. E. (Tiago Egydio), Baessler, C. (Claus), Bellgrove, A. (Alecia), Belmaker, J. (Jonathan), Benedetti-Cecchi, L. (Lisandro), Bett, B. J. (Brian J.), Bjorkman, A. D. (Anne D.), Blazewicz, M. (Magdalena), Blowes, S. A. (Shane A.), Bloch, C. P. (Christopher P.), Bonebrake, T. C. (Timothy C.), Boyd, S. (Susan), Bradford, M. (Matt), Brooks, A. J. (Andrew J.), Brown, J. H. (James H.), Bruelheide, H. (Helge), Budy, P. (Phaedra), Carvalho, F. (Fernando), Castaneda-Moya, E. (Edward), Chen, C. A. (Chaolun Allen), Chamblee, J. F. (John F.), Chase, T. J. (Tory J.), Siegwart Collier, L. (Laura), Collinge, S. K. (Sharon K.), Condit, R. (Richard), Cooper, E. J. (Elisabeth J.), Cornelissen, J. H. (J. Hans C.), Cotano, U. (Unai), Crow, S. K. (Shannan Kyle), Damasceno, G. (Gabriella), Davies, C. H. (Claire H.), Davis, R. A. (Robert A.), Day, F. P. (Frank P.), Degraer, S. (Steven), Doherty, T. S. (Tim S.), Dunn, T. E. (Timothy E.), Durigan, G. (Giselda), Duffy, J. E. (J. Emmett), Edelist, D. (Dor), Edgar, G. J. (Graham J.), Elahi, R. (Robin), Elmendorf, S. C. (Sarah C.), Enemar, A. (Anders), Ernest, S. K. (S. K. Morgan), Escribano, R. (Ruben), Estiarte, M. (Marc), Evans, B. S. (Brian S.), Fan, T.-Y. (Tung-Yung), Farah, F. T. (Fabiano Turini), Fernandes, L. L. (Luiz Loureiro), Farneda, F. Z. (Fabio Z.), Fidelis, A. (Alessandra), Fitt, R. (Robert), Fosaa, A. M. (Anna Maria), Daher Correa Franco, G. A. (Geraldo Antonio), Frank, G. E. (Grace E.), Fraser, W. R. (William R.), Garcia, H. (Hernando), Gatti, R. C. (Roberto Cazzolla), Givan, O. (Or), Gorgone-Barbosa, E. (Elizabeth), Gould, W. A. (William A.), Gries, C. (Corinna), Grossman, G. D. (Gary D.), Gutierrez, J. R. (Julio R.), Hale, S. (Stephen), Harmon, M. E. (Mark E.), Harte, J. (John), Haskins, G. (Gary), Henshaw, D. L. (Donald L.), Hermanutz, L. (Luise), Hidalgo, P. (Pamela), Higuchi, P. (Pedro), Hoey, A. (Andrew), Van Hoey, G. (Gert), Hofgaard, A. (Annika), Holeck, K. (Kristen), Hollister, R. D. (Robert D.), Holmes, R. (Richard), Hoogenboom, M. (Mia), Hsieh, C.-h. (Chih-hao), Hubbell, S. P. (Stephen P.), Huettmann, F. (Falk), Huffard, C. L. (Christine L.), Hurlbert, A. H. (Allen H.), Ivanauskas, N. M. (Natalia Macedo), Janik, D. (David), Jandt, U. (Ute), Jazdzewska, A. (Anna), Johannessen, T. (Tore), Johnstone, J. (Jill), Jones, J. (Julia), Jones, F. A. (Faith A. M.), Kang, J. (Jungwon), Kartawijaya, T. (Tasrif), Keeley, E. C. (Erin C.), Kelt, D. A. (Douglas A.), Kinnear, R. (Rebecca), Klanderud, K. (Kari), Knutsen, H. (Halvor), Koenig, C. C. (Christopher C.), Kortz, A. R. (Alessandra R.), Kral, K. (Kamil), Kuhnz, L. A. (Linda A.), Kuo, C.-Y. (Chao-Yang), Kushner, D. J. (David J.), Laguionie-Marchais, C. (Claire), Lancaster, L. T. (Lesley T.), Min Lee, C. (Cheol), Lefcheck, J. S. (Jonathan S.), Levesque, E. (Esther), Lightfoot, D. (David), Lloret, F. (Francisco), Lloyd, J. D. (John D.), Lopez-Baucells, A. (Adria), Louzao, M. (Maite), Madin, J. S. (Joshua S.), Magnusson, B. (Borgpor), Malamud, S. (Shahar), Matthews, I. (Iain), McFarland, K. P. (Kent P.), McGill, B. (Brian), McKnight, D. (Diane), McLarney, W. O. (William O.), Meador, J. (Jason), Meserve, P. L. (Peter L.), Metcalfe, D. J. (Daniel J.), Meyer, C. F. (Christoph F. J.), Michelsen, A. (Anders), Milchakova, N. (Nataliya), Moens, T. (Tom), Moland, E. (Even), Moore, J. (Jon), Moreira, C. M. (Carolina Mathias), Mueller, J. (Joerg), Murphy, G. (Grace), Myers-Smith, I. H. (Isla H.), Myster, R. W. (Randall W.), Naumov, A. (Andrew), Neat, F. (Francis), Nelson, J. A. (James A.), Paul Nelson, M. (Michael), Newton, S. F. (Stephen F.), Norden, N. (Natalia), Oliver, J. C. (Jeffrey C.), Olsen, E. M. (Esben M.), Onipchenko, V. G. (Vladimir G.), Pabis, K. (Krzysztof), Pabst, R. J. (Robert J.), Paquette, A. (Alain), Pardede, S. (Sinta), Paterson, D. M. (David M.), Pelissier, R. (Raphael), Penuelas, J. (Josep), Perez-Matus, A. (Alejandro), Pizarro, O. (Oscar), Pomati, F. (Francesco), Post, E. (Eric), Prins, H. H. (Herbert H. T.), Priscu, J. C. (John C.), Provoost, P. (Pieter), Prudic, K. L. (Kathleen L.), Erkki, P. (Pulliainen), Ramesh, B. R. (B. R.), Mendivil Ramos, O. (Olivia), Rassweiler, A. (Andrew), Rebelo, J. E. (Jose Eduardo), Reed, D. C. (Daniel C.), Reich, P. B. (Peter B.), Remillard, S. M. (Suzanne M.), Richardson, A. J. (Anthony J.), Richardson, J. P. (J. Paul), van Rijn, I. (Itai), Rocha, R. (Ricardo), Rivera-Monroy, V. H. (Victor H.), Rixen, C. (Christian), Robinson, K. P. (Kevin P.), Rodrigues, R. R. (Ricardo Ribeiro), Rossa-Feres, D. d. (Denise de Cerqueira), Rudstam, L. (Lars), Ruhl, H. (Henry), Ruz, C. S. (Catalina S.), Sampaio, E. M. (Erica M.), Rybicki, N. (Nancy), Rypel, A. (Andrew), Sal, S. (Sofia), Salgado, B. (Beatriz), Santos, F. A. (Flavio A. M.), Savassi-Coutinho, A. P. (Ana Paula), Scanga, S. (Sara), Schmidt, J. (Jochen), Schooley, R. (Robert), Setiawan, F. (Fakhrizal), Shao, K.-T. (Kwang-Tsao), Shaver, G. R. (Gaius R.), Sherman, S. (Sally), Sherry, T. W. (Thomas W.), Sicinski, J. (Jacek), Sievers, C. (Caya), da Silva, A. C. (Ana Carolina), da Silva, F. R. (Fernando Rodrigues), Silveira, F. L. (Fabio L.), Slingsby, J. (Jasper), Smart, T. (Tracey), Snell, S. J. (Sara J.), Soudzilovskaia, N. A. (Nadejda A.), Souza, G. B. (Gabriel B. G.), Souza, F. M. (Flaviana Maluf), Souza, V. C. (Vinicius Castro), Stallings, C. D. (Christopher D.), Stanforth, R. (Rowan), Stanley, E. H. (Emily H.), Sterza, J. M. (Jose Mauro), Stevens, M. (Maarten), Stuart-Smith, R. (Rick), Rondon Suarez, Y. (Yzel), Supp, S. (Sarah), Yoshio Tamashiro, J. (Jorge), Tarigan, S. (Sukmaraharja), Thiede, G. P. (Gary P.), Thorn, S. (Simon), Tolvanen, A. (Anne), Zugliani Toniato, M. T. (Maria Teresa), Totland, O. (Orjan), Twilley, R. R. (Robert R.), Vaitkus, G. (Gediminas), Valdivia, N. (Nelson), Vallejo, M. I. (Martha Isabel), Valone, T. J. (Thomas J.), Van Colen, C. (Carl), Vanaverbeke, J. (Jan), Venturoli, F. (Fabio), Verheye, H. M. (Hans M.), Vianna, M. (Marcelo), Vieira, R. P. (Rui P.), Vrska, T. (Tomas), Vu, C. Q. (Con Quang), Vu, L. V. (Lien Van), Waide, R. B. (Robert B.), Waldock, C. (Conor), Watts, D. (Dave), Webb, S. (Sara), Wesolowski, T. (Tomasz), White, E. P. (Ethan P.), Widdicombe, C. E. (Claire E.), Wilgers, D. (Dustin), Williams, R. (Richard), Williams, S. B. (Stefan B.), Williamson, M. (Mark), Willig, M. R. (Michael R.), Willis, T. J. (Trevor J.), Wipf, S. (Sonja), Woods, K. D. (Kerry D.), Woehler, E. J. (Eric J.), Zawada, K. (Kyle), Zettler, M. L. (Michael L.), Dornelas, M. (Maria), Antao, L. H. (Laura H.), Moyes, F. (Faye), Bates, A. E. (Amanda E.), Magurran, A. E. (Anne E.), Adam, D. (Dusan), Akhmetzhanova, A. A. (Asem A.), Appeltans, W. (Ward), Arcos, J. M. (Jose Manuel), Arnold, H. (Haley), Ayyappan, N. (Narayanan), Badihi, G. (Gal), Baird, A. H. (Andrew H.), Barbosa, M. (Miguel), Barreto, T. E. (Tiago Egydio), Baessler, C. (Claus), Bellgrove, A. (Alecia), Belmaker, J. (Jonathan), Benedetti-Cecchi, L. (Lisandro), Bett, B. J. (Brian J.), Bjorkman, A. D. (Anne D.), Blazewicz, M. (Magdalena), Blowes, S. A. (Shane A.), Bloch, C. P. (Christopher P.), Bonebrake, T. C. (Timothy C.), Boyd, S. (Susan), Bradford, M. (Matt), Brooks, A. J. (Andrew J.), Brown, J. H. (James H.), Bruelheide, H. (Helge), Budy, P. (Phaedra), Carvalho, F. (Fernando), Castaneda-Moya, E. (Edward), Chen, C. A. (Chaolun Allen), Chamblee, J. F. (John F.), Chase, T. J. (Tory J.), Siegwart Collier, L. (Laura), Collinge, S. K. (Sharon K.), Condit, R. (Richard), Cooper, E. J. (Elisabeth J.), Cornelissen, J. H. (J. Hans C.), Cotano, U. (Unai), Crow, S. K. (Shannan Kyle), Damasceno, G. (Gabriella), Davies, C. H. (Claire H.), Davis, R. A. (Robert A.), Day, F. P. (Frank P.), Degraer, S. (Steven), Doherty, T. S. (Tim S.), Dunn, T. E. (Timothy E.), Durigan, G. (Giselda), Duffy, J. E. (J. Emmett), Edelist, D. (Dor), Edgar, G. J. (Graham J.), Elahi, R. (Robin), Elmendorf, S. C. (Sarah C.), Enemar, A. (Anders), Ernest, S. K. (S. K. Morgan), Escribano, R. (Ruben), Estiarte, M. (Marc), Evans, B. S. (Brian S.), Fan, T.-Y. (Tung-Yung), Farah, F. T. (Fabiano Turini), Fernandes, L. L. (Luiz Loureiro), Farneda, F. Z. (Fabio Z.), Fidelis, A. (Alessandra), Fitt, R. (Robert), Fosaa, A. M. (Anna Maria), Daher Correa Franco, G. A. (Geraldo Antonio), Frank, G. E. (Grace E.), Fraser, W. R. (William R.), Garcia, H. (Hernando), Gatti, R. C. (Roberto Cazzolla), Givan, O. (Or), Gorgone-Barbosa, E. (Elizabeth), Gould, W. A. (William A.), Gries, C. (Corinna), Grossman, G. D. (Gary D.), Gutierrez, J. R. (Julio R.), Hale, S. (Stephen), Harmon, M. E. (Mark E.), Harte, J. (John), Haskins, G. (Gary), Henshaw, D. L. (Donald L.), Hermanutz, L. (Luise), Hidalgo, P. (Pamela), Higuchi, P. (Pedro), Hoey, A. (Andrew), Van Hoey, G. (Gert), Hofgaard, A. (Annika), Holeck, K. (Kristen), Hollister, R. D. (Robert D.), Holmes, R. (Richard), Hoogenboom, M. (Mia), Hsieh, C.-h. (Chih-hao), Hubbell, S. P. (Stephen P.), Huettmann, F. (Falk), Huffard, C. L. (Christine L.), Hurlbert, A. H. (Allen H.), Ivanauskas, N. M. (Natalia Macedo), Janik, D. (David), Jandt, U. (Ute), Jazdzewska, A. (Anna), Johannessen, T. (Tore), Johnstone, J. (Jill), Jones, J. (Julia), Jones, F. A. (Faith A. M.), Kang, J. (Jungwon), Kartawijaya, T. (Tasrif), Keeley, E. C. (Erin C.), Kelt, D. A. (Douglas A.), Kinnear, R. (Rebecca), Klanderud, K. (Kari), Knutsen, H. (Halvor), Koenig, C. C. (Christopher C.), Kortz, A. R. (Alessandra R.), Kral, K. (Kamil), Kuhnz, L. A. (Linda A.), Kuo, C.-Y. (Chao-Yang), Kushner, D. J. (David J.), Laguionie-Marchais, C. (Claire), Lancaster, L. T. (Lesley T.), Min Lee, C. (Cheol), Lefcheck, J. S. (Jonathan S.), Levesque, E. (Esther), Lightfoot, D. (David), Lloret, F. (Francisco), Lloyd, J. D. (John D.), Lopez-Baucells, A. (Adria), Louzao, M. (Maite), Madin, J. S. (Joshua S.), Magnusson, B. (Borgpor), Malamud, S. (Shahar), Matthews, I. (Iain), McFarland, K. P. (Kent P.), McGill, B. (Brian), McKnight, D. (Diane), McLarney, W. O. (William O.), Meador, J. (Jason), Meserve, P. L. (Peter L.), Metcalfe, D. J. (Daniel J.), Meyer, C. F. (Christoph F. J.), Michelsen, A. (Anders), Milchakova, N. (Nataliya), Moens, T. (Tom), Moland, E. (Even), Moore, J. (Jon), Moreira, C. M. (Carolina Mathias), Mueller, J. (Joerg), Murphy, G. (Grace), Myers-Smith, I. H. (Isla H.), Myster, R. W. (Randall W.), Naumov, A. (Andrew), Neat, F. (Francis), Nelson, J. A. (James A.), Paul Nelson, M. (Michael), Newton, S. F. (Stephen F.), Norden, N. (Natalia), Oliver, J. C. (Jeffrey C.), Olsen, E. M. (Esben M.), Onipchenko, V. G. (Vladimir G.), Pabis, K. (Krzysztof), Pabst, R. J. (Robert J.), Paquette, A. (Alain), Pardede, S. (Sinta), Paterson, D. M. (David M.), Pelissier, R. (Raphael), Penuelas, J. (Josep), Perez-Matus, A. (Alejandro), Pizarro, O. (Oscar), Pomati, F. (Francesco), Post, E. (Eric), Prins, H. H. (Herbert H. T.), Priscu, J. C. (John C.), Provoost, P. (Pieter), Prudic, K. L. (Kathleen L.), Erkki, P. (Pulliainen), Ramesh, B. R. (B. R.), Mendivil Ramos, O. (Olivia), Rassweiler, A. (Andrew), Rebelo, J. E. (Jose Eduardo), Reed, D. C. (Daniel C.), Reich, P. B. (Peter B.), Remillard, S. M. (Suzanne M.), Richardson, A. J. (Anthony J.), Richardson, J. P. (J. Paul), van Rijn, I. (Itai), Rocha, R. (Ricardo), Rivera-Monroy, V. H. (Victor H.), Rixen, C. (Christian), Robinson, K. P. (Kevin P.), Rodrigues, R. R. (Ricardo Ribeiro), Rossa-Feres, D. d. (Denise de Cerqueira), Rudstam, L. (Lars), Ruhl, H. (Henry), Ruz, C. S. (Catalina S.), Sampaio, E. M. (Erica M.), Rybicki, N. (Nancy), Rypel, A. (Andrew), Sal, S. (Sofia), Salgado, B. (Beatriz), Santos, F. A. (Flavio A. M.), Savassi-Coutinho, A. P. (Ana Paula), Scanga, S. (Sara), Schmidt, J. (Jochen), Schooley, R. (Robert), Setiawan, F. (Fakhrizal), Shao, K.-T. (Kwang-Tsao), Shaver, G. R. (Gaius R.), Sherman, S. (Sally), Sherry, T. W. (Thomas W.), Sicinski, J. (Jacek), Sievers, C. (Caya), da Silva, A. C. (Ana Carolina), da Silva, F. R. (Fernando Rodrigues), Silveira, F. L. (Fabio L.), Slingsby, J. (Jasper), Smart, T. (Tracey), Snell, S. J. (Sara J.), Soudzilovskaia, N. A. (Nadejda A.), Souza, G. B. (Gabriel B. G.), Souza, F. M. (Flaviana Maluf), Souza, V. C. (Vinicius Castro), Stallings, C. D. (Christopher D.), Stanforth, R. (Rowan), Stanley, E. H. (Emily H.), Sterza, J. M. (Jose Mauro), Stevens, M. (Maarten), Stuart-Smith, R. (Rick), Rondon Suarez, Y. (Yzel), Supp, S. (Sarah), Yoshio Tamashiro, J. (Jorge), Tarigan, S. (Sukmaraharja), Thiede, G. P. (Gary P.), Thorn, S. (Simon), Tolvanen, A. (Anne), Zugliani Toniato, M. T. (Maria Teresa), Totland, O. (Orjan), Twilley, R. R. (Robert R.), Vaitkus, G. (Gediminas), Valdivia, N. (Nelson), Vallejo, M. I. (Martha Isabel), Valone, T. J. (Thomas J.), Van Colen, C. (Carl), Vanaverbeke, J. (Jan), Venturoli, F. (Fabio), Verheye, H. M. (Hans M.), Vianna, M. (Marcelo), Vieira, R. P. (Rui P.), Vrska, T. (Tomas), Vu, C. Q. (Con Quang), Vu, L. V. (Lien Van), Waide, R. B. (Robert B.), Waldock, C. (Conor), Watts, D. (Dave), Webb, S. (Sara), Wesolowski, T. (Tomasz), White, E. P. (Ethan P.), Widdicombe, C. E. (Claire E.), Wilgers, D. (Dustin), Williams, R. (Richard), Williams, S. B. (Stefan B.), Williamson, M. (Mark), Willig, M. R. (Michael R.), Willis, T. J. (Trevor J.), Wipf, S. (Sonja), Woods, K. D. (Kerry D.), Woehler, E. J. (Eric J.), Zawada, K. (Kyle), and Zettler, M. L. (Michael L.)

Abstract

Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community‐led open‐source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included: The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain: BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km² (158 cm²) to 100 km² (1,000,000,000,000 cm²). Time period and grain: BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement: BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates. Software format: .csv and .SQL.

Published
2018

8. BioTIME: A database of biodiversity time series for the Anthropocene

Author

Dornelas, M., Antão, L. H., Moyes, F., Bates, A. E., Magurran, A. E., Adam, D., Akhmetzhanova, A. A., Appeltans, W., Arcos, J. M., Arnold, H., Ayyappan, N., Badihi, G., Baird, A. H., Barbosa, M., Barreto, T. E., Bässler, C., Bellgrove, A., Belmaker, J., Benedetti-Cecchi, L., Bett, B. J., Bjorkman, A. D., Błażewicz, M., Blowes, S. A., Bloch, C. P., Bonebrake, T. C., Boyd, S., Bradford, M., Brooks, A. J., Brown, J. H., Bruelheide, H., Budy, P., Carvalho, F., Castañeda-Moya, E., Chen, C. A., Chamblee, J. F., Chase, T. J., Siegwart Collier, L., Collinge, S. K., Condit, R., Cooper, E. J., Cornelissen, J. H. C., Cotano, U., Kyle Crow, S., Damasceno, G., Davies, C. H., Davis, R. A., Day, F. P., Degraer, S., Doherty, T. S., Dunn, T. E., Durigan, G., Duffy, J. E., Edelist, D., Edgar, G. J., Elahi, R., Elmendorf, S. C., Enemar, A., Ernest, S. K. M., Escribano, R., Estiarte, M., Evans, B. S., Fan, T. Y., Turini Farah, F., Loureiro Fernandes, L., Farneda, F. Z., Fidelis, A., Fitt, R., Fosaa, A. M., Daher Correa Franco, G. A., Frank, G. E., Fraser, W. R., García, H., Cazzolla Gatti, R., Givan, O., Gorgone-Barbosa, E., Gould, W. A., Gries, C., Grossman, G. D., Gutierréz, J. R., Hale, S., Harmon, M. E., Harte, J., Haskins, G., Henshaw, D. L., Hermanutz, L., Hidalgo, P., Higuchi, P., Hoey, A., Van Hoey, G., Hofgaard, A., Holeck, K., Hollister, R. D., Holmes, R., Hoogenboom, M., Hsieh, C. H., Hubbell, S. P., Huettmann, F., Huffard, C. L., Hurlbert, A. H., Macedo Ivanauskas, N., Janík, D., Jandt, U., Jażdżewska, A., Johannessen, T., Johnstone, J., Jones, J., Jones, F. A. M., Kang, J., Kartawijaya, T., Keeley, E. C., Kelt, D. A., Kinnear, R., Klanderud, K., Knutsen, H., Koenig, C. C., Kortz, A. R., Král, K., Kuhnz, L. A., Kuo, C. Y., Kushner, D. J., Laguionie-Marchais, C., Lancaster, L. T., Min Lee, C., Lefcheck, J. S., Lévesque, E., Lightfoot, D., Lloret, F., Lloyd, J. D., López-Baucells, A., Louzao, M., Madin, J. S., Magnússon, B., Malamud, S., Matthews, I., McFarland, K. P., McGill, B., McKnight, D., McLarney, W. O., Meador, J., Meserve, P. L., Metcalfe, D. J., Meyer, C. F. J., Michelsen, A., Milchakova, N., Moens, T., Moland, E., Moore, J., Mathias Moreira, C., Müller, J., Murphy, G., Myers-Smith, I. H., Myster, R. W., Naumov, A., Neat, F., Nelson, J. A., Paul Nelson, M., Newton, S. F., Norden, N., Oliver, J. C., Olsen, E. M., Onipchenko, V. G., Pabis, K., Pabst, R. J., Paquette, A., Pardede, S., Paterson, D. M., Pélissier, R., Peñuelas, J., Pérez-Matus, A., Pizarro, O., Pomati, F., Post, E., Prins, H. H. T., Priscu, J. C., Provoost, P., Prudic, K. L., Pulliainen, E., Ramesh, B. R., Mendivil Ramos, O., Rassweiler, A., Rebelo, J. E., Reed, D. C., Reich, P. B., Remillard, S. M., Richardson, A. J., Richardson, J. P., van Rijn, I., Rocha, R., Rivera-Monroy, V. H., Rixen, C., Robinson, K. P., Ribeiro Rodrigues, R., de Cerqueira Rossa-Feres, D., Rudstam, L., Ruhl, H., Ruz, C. S., Sampaio, E. M., Rybicki, N., Rypel, A., Sal, S., Salgado, B., Santos, F. A. M., Savassi-Coutinho, A. P., Scanga, S., Schmidt, J., Schooley, R., Setiawan, F., Shao, K. T., Shaver, G. R., Sherman, S., Sherry, T. W., Siciński, J., Sievers, C., da Silva, A. C., Rodrigues da Silva, F., Silveira, F. L., Slingsby, J., Smart, T., Snell, S. J., Soudzilovskaia, N. A., Souza, G. B. G., Maluf Souza, F., Castro Souza, V., Stallings, C. D., Stanforth, R., Stanley, E. H., Mauro Sterza, J., Stevens, M., Stuart-Smith, R., Rondon Suarez, Y., Supp, S., Yoshio Tamashiro, J., Tarigan, S., Thiede, G. P., Thorn, S., Tolvanen, A., Teresa Zugliani Toniato, M., Totland, Ø, Twilley, R. R., Vaitkus, G., Valdivia, N., Vallejo, M. I., Valone, T. J., Van Colen, C., Vanaverbeke, J., Venturoli, F., Verheye, H. M., Vianna, M., Vieira, R. P., Vrška, T., Quang Vu, C., Van Vu, L., Waide, R. B., Waldock, C., Watts, D., Webb, S., Wesołowski, T., White, E. P., Widdicombe, C. E., Wilgers, D., Williams, R., Williams, S. B., Williamson, M., Willig, M. R., Willis, T. J., Wipf, S., Woods, K. D., Woehler, E. J., Zawada, K., Zettler, M. L., Dornelas, M., Antão, L. H., Moyes, F., Bates, A. E., Magurran, A. E., Adam, D., Akhmetzhanova, A. A., Appeltans, W., Arcos, J. M., Arnold, H., Ayyappan, N., Badihi, G., Baird, A. H., Barbosa, M., Barreto, T. E., Bässler, C., Bellgrove, A., Belmaker, J., Benedetti-Cecchi, L., Bett, B. J., Bjorkman, A. D., Błażewicz, M., Blowes, S. A., Bloch, C. P., Bonebrake, T. C., Boyd, S., Bradford, M., Brooks, A. J., Brown, J. H., Bruelheide, H., Budy, P., Carvalho, F., Castañeda-Moya, E., Chen, C. A., Chamblee, J. F., Chase, T. J., Siegwart Collier, L., Collinge, S. K., Condit, R., Cooper, E. J., Cornelissen, J. H. C., Cotano, U., Kyle Crow, S., Damasceno, G., Davies, C. H., Davis, R. A., Day, F. P., Degraer, S., Doherty, T. S., Dunn, T. E., Durigan, G., Duffy, J. E., Edelist, D., Edgar, G. J., Elahi, R., Elmendorf, S. C., Enemar, A., Ernest, S. K. M., Escribano, R., Estiarte, M., Evans, B. S., Fan, T. Y., Turini Farah, F., Loureiro Fernandes, L., Farneda, F. Z., Fidelis, A., Fitt, R., Fosaa, A. M., Daher Correa Franco, G. A., Frank, G. E., Fraser, W. R., García, H., Cazzolla Gatti, R., Givan, O., Gorgone-Barbosa, E., Gould, W. A., Gries, C., Grossman, G. D., Gutierréz, J. R., Hale, S., Harmon, M. E., Harte, J., Haskins, G., Henshaw, D. L., Hermanutz, L., Hidalgo, P., Higuchi, P., Hoey, A., Van Hoey, G., Hofgaard, A., Holeck, K., Hollister, R. D., Holmes, R., Hoogenboom, M., Hsieh, C. H., Hubbell, S. P., Huettmann, F., Huffard, C. L., Hurlbert, A. H., Macedo Ivanauskas, N., Janík, D., Jandt, U., Jażdżewska, A., Johannessen, T., Johnstone, J., Jones, J., Jones, F. A. M., Kang, J., Kartawijaya, T., Keeley, E. C., Kelt, D. A., Kinnear, R., Klanderud, K., Knutsen, H., Koenig, C. C., Kortz, A. R., Král, K., Kuhnz, L. A., Kuo, C. Y., Kushner, D. J., Laguionie-Marchais, C., Lancaster, L. T., Min Lee, C., Lefcheck, J. S., Lévesque, E., Lightfoot, D., Lloret, F., Lloyd, J. D., López-Baucells, A., Louzao, M., Madin, J. S., Magnússon, B., Malamud, S., Matthews, I., McFarland, K. P., McGill, B., McKnight, D., McLarney, W. O., Meador, J., Meserve, P. L., Metcalfe, D. J., Meyer, C. F. J., Michelsen, A., Milchakova, N., Moens, T., Moland, E., Moore, J., Mathias Moreira, C., Müller, J., Murphy, G., Myers-Smith, I. H., Myster, R. W., Naumov, A., Neat, F., Nelson, J. A., Paul Nelson, M., Newton, S. F., Norden, N., Oliver, J. C., Olsen, E. M., Onipchenko, V. G., Pabis, K., Pabst, R. J., Paquette, A., Pardede, S., Paterson, D. M., Pélissier, R., Peñuelas, J., Pérez-Matus, A., Pizarro, O., Pomati, F., Post, E., Prins, H. H. T., Priscu, J. C., Provoost, P., Prudic, K. L., Pulliainen, E., Ramesh, B. R., Mendivil Ramos, O., Rassweiler, A., Rebelo, J. E., Reed, D. C., Reich, P. B., Remillard, S. M., Richardson, A. J., Richardson, J. P., van Rijn, I., Rocha, R., Rivera-Monroy, V. H., Rixen, C., Robinson, K. P., Ribeiro Rodrigues, R., de Cerqueira Rossa-Feres, D., Rudstam, L., Ruhl, H., Ruz, C. S., Sampaio, E. M., Rybicki, N., Rypel, A., Sal, S., Salgado, B., Santos, F. A. M., Savassi-Coutinho, A. P., Scanga, S., Schmidt, J., Schooley, R., Setiawan, F., Shao, K. T., Shaver, G. R., Sherman, S., Sherry, T. W., Siciński, J., Sievers, C., da Silva, A. C., Rodrigues da Silva, F., Silveira, F. L., Slingsby, J., Smart, T., Snell, S. J., Soudzilovskaia, N. A., Souza, G. B. G., Maluf Souza, F., Castro Souza, V., Stallings, C. D., Stanforth, R., Stanley, E. H., Mauro Sterza, J., Stevens, M., Stuart-Smith, R., Rondon Suarez, Y., Supp, S., Yoshio Tamashiro, J., Tarigan, S., Thiede, G. P., Thorn, S., Tolvanen, A., Teresa Zugliani Toniato, M., Totland, Ø, Twilley, R. R., Vaitkus, G., Valdivia, N., Vallejo, M. I., Valone, T. J., Van Colen, C., Vanaverbeke, J., Venturoli, F., Verheye, H. M., Vianna, M., Vieira, R. P., Vrška, T., Quang Vu, C., Van Vu, L., Waide, R. B., Waldock, C., Watts, D., Webb, S., Wesołowski, T., White, E. P., Widdicombe, C. E., Wilgers, D., Williams, R., Williams, S. B., Williamson, M., Willig, M. R., Willis, T. J., Wipf, S., Woods, K. D., Woehler, E. J., Zawada, K., and Zettler, M. L.

Abstract

Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included: The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain: BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2). Time period and grain: BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement: BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates. Software format:.csv and.SQL.

Published
2018

15. The bigger picture: Developing a graphical user interface to process UAV imagery of tidal stream environments

Author

Slingsby, J., Beth E Scott, Kregting, L., Mcilvenny, J., Wilson, J., Yanez, M., and Williamson, B. J.

Subjects
Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology, Environmental monitoring, Ocean Engineering, Kolk-boils, Seabirds, Image processing, Drones, Tidal turbines, Water Science and Technology
Abstract

Unmanned Aerial Vehicles (UAVs), or drones, offer the ability to collect cost-effective fine-scale imagery that is suitable for the capture of concurrent hydrodynamic and faunal data within tidal stream environments. This is a necessary stage of information gathering to inform tidal energy device design, advise control and maintenance strategies and better inform environmental consenting processes. For this study a total of sixty-three UAV surveys were undertaken within the Inner Sound of the Pentland Firth, Scotland, UK, over two 4-day periods in 2016 and 2018. The aims of this data collection effort were to characterize bathymetrically driven hydrodynamic features, comprising of kolk-boil distribution, presence, and area, as well as marine life such as seabird distributions, presence, and orientation relative to the flow. To achieve this, a method to extract quantifiable metrics from UAV imagery was required. This paper details the processes and methodology to create a graphical user interface (GUI) to provide these outputs rather than examining specific results. It includes an explanation of the criteria that the GUI needed to meet to be able to process the imagery, a description of the workflow and an explanation of the sub-routines required such as image registration and calibration. The outputs of the GUI, and their relevance to tidal energy developments, are also discussed. Finally, this paper details future work incorporating computer vision techniques to improve the accuracy, reliability, and processing speed of the GUI.

22. The IUCN red list for ecosystems: how does it compare to South Africa's approach to listing threatened ecosystems?

Author

Monyeki, Maphale Stella, Altwegg, Andreas, Slingsby, J A, and Skowno, A L

Subjects
Statistical Sciences
Abstract

The publication of the International Union for Conservation of Nature (IUCN) Red List of Ecosystems (RLE) standards is an important development that has received broad acceptance globally. More than 100 countries across the globe including South Africa and Myanmar have adopted the IUCN RLE standards as their national framework for assessing the risk of ecosystem collapse. The strongest motivations for the alignment include: (i) elimination of confusion and reducing the administrative burden for maintaining multiple lists of threatened ecosystems, (ii) increased legitimacy of the ecosystem threat status assessment by basing them on a body of sound scientific literature, (iii) comparable assessments across different environments and countries across the globe, (iv) for the threatened national ecosystems to be recorded under the IUCN RLE registry. Furthermore, the IUCN Red List makes it easier for countries to secure funding from international donors to achieve national biodiversity conservation objectives, and address knowledge and data gaps through focused research. The IUCN RLE standards only became available after many countries including South Africa and Australia each independently tailor-developed national indicators or standards for assessing threats to ecosystems. The Ecosystem Threat statuses (ETS) standards are developed to aid biodiversity monitoring efforts, and many have progressed into the legislated national list of the threatened ecosystems. In South Africa, the gazetted list of threatened ecosystems is ratified to inform policy development and land-use planning tools that mainstream biodiversity considerations into economic development activities. Considering the strong links between the gazetted list of threatened ecosystems and many of the policy and spatial planning tools, the change and/or update to the IUCN RLE standards may disrupt conservation and land-use plans. In addition, South Africa has limited data on ecosystem integrity with to apply the full range of the IUCN RLE functional criteria which may lead to the risk of ecosystem collapse being underestimated. However, the country has comprehensive data on threatened plant species which in many cases contain detailed information on drivers of environmental degradation and biotic disruptions. In addition, extensive efforts have been made to link threatened species and the ecosystem types in which they occur. Such efforts enable the country to look at degradation through species lenses to better understand the degree of underestimation of ecosystem risk. Nonetheless, there is a need to interrogate and holistically understand the implications that may emanate from this shift, hence the importance of this study. This thesis was focused on assessing the origins and history of the IUCN and South Africa's approach to assessing threats to ecosystems. In chapter 1, I reviewed the key concepts including the scientific basis and criteria to understand the purpose and philosophy of the South Africa (SA) ETS and IUCN RLE frameworks. In Chapter 2, I compared and contrasted the SA ETS and IUCN RLE assessment outcomes of ecosystems susceptible to only spatial threats. Finally, in Chapter 3, I tested whether the IUCN RLE is a good proxy for the distribution of threatened species in South Africa. The results revealed that the IUCN RLE and SA ETS standards have overarching similarities (e.g. spatial and functional criteria) as they both share the common ancestry (IUCN Red List of Threatened Species). Equally, there are key differences (e.g. decision thresholds) that explain the misalignments in the ecosystem threat status between the two systems. Meanwhile, the quantitative results alluded that the proportions of matching assessment outcomes are high when the risk categories (Critically Endangered: CR and Endangered: EN versus Vulnerable: VU and Least Concern: LC) are split in accordance with their policy uptake (i.e. National Environmental Management Act (NEMA) EIA regulations) but relatively low per individual risk category. Furthermore, the results suggest that not all ecosystem types undergoing spatial declines entirely reflect the status of threatened plant species they contain. Many of these threatened plant species overlap with ecosystems at immediate risk of collapse (CR and EN). Such species will indirectly benefit from broad-scale conservation interventions that are informed by the list of threatened ecosystems. However, the majority of plant species threatened by either habitat loss and/or land degradation occur within the least threatened ecosystems. These species will not benefit from conservation responses informed by the gazetted national list of threatened because spatial declines within these ecosystems are considered to either be minimal or stable to trigger conservation response. Encouragingly, there are existing legal conservation tools such as stewardship programmes, Key Biodiversity Areas, and Critical Biodiversity Areas that allow threatened and unprotected ecological features including species to be strategically targeted for conservation responses. However, there is a need for South Africa to intensify efforts that ensure that these legal tools are implemented correctly and successfully to maximise conservation impacts and arrest biodiversity loss.

Published
2021

23. BioTIME: A database of biodiversity time series for the Anthropocene

Author

Grace E. Frank, Alecia Bellgrove, Flaviana Maluf Souza, Fakhrizal Setiawan, Vladimir G. Onipchenko, Miguel Barbosa, J. Emmett Duffy, Robert A. Davis, Giselda Durigan, Jan Vanaverbeke, Ricardo Rocha, Ana Paula Savassi-Coutinho, Francis Neat, Emily H. Stanley, Erkki Pulliainen, Vinicius Castro Souza, Stephen F. Newton, N. A. Mil'chakova, Annika Hofgaard, James A. Nelson, Elisabeth J. Cooper, Lisandro Benedetti-Cecchi, Sonja Wipf, Anders Enemar, Gabriel Barros Gonçalves de Souza, Claire Laguionie-Marchais, Dušan Adam, Robert N. L. Fitt, Christopher P. Bloch, Claus Bässler, Gediminas Vaitkus, Magdalena Błażewicz, Robert R. Twilley, Richard Condit, B.R. Ramesh, Chaolun Allen Chen, Grace E. P. Murphy, Kevin P. Robinson, Gal Badihi, Lars G. Rudstam, J. Jonathan Moore, David M. Paterson, Sarah R. Supp, Claire E. Widdicombe, Suzanne M. Remillard, Hans M. Verheye, Jill F. Johnstone, Claire H. Davies, Shane A. Blowes, Mark E. Harmon, Rick D. Stuart-Smith, Andrew J. Brooks, Gert Van Hoey, José Eduardo Rebelo, Anna Maria Fosaa, Tim S. Doherty, Jasper A. Slingsby, Francesco Pomati, Raphaël Pélissier, Ward Appeltans, José Manuel Arcos, Phaedra Budy, Victor H. Rivera-Monroy, Maria Teresa Zugliani Toniato, Anthony J. Richardson, Luiz Fernando Loureiro Fernandes, Christopher D. Stallings, Rowan Stanforth, David J. Kushner, A. A. Akhmetzhanova, Geraldo Antônio Daher Corrêa Franco, Alessandra Fidelis, Elizabeth Gorgone-Barbosa, Dave Watts, S.A. Tarigan, Timothy C. Bonebrake, Kent P. McFarland, Jonathan Belmaker, Shahar Malamud, Kamil Král, John D. Lloyd, Diane M. McKnight, Alessandra Rocha Kortz, Luise Hermanutz, Tore Johannessen, N. Ayyappan, Brian J. Bett, Haley Arnold, Fernando Rodrigues da Silva, Peter L. Meserve, Francisco Lloret, Nadejda A. Soudzilovskaia, Michael R. Willig, Linda A. Kuhnz, Esther Lévesque, Kwang-Tsao Shao, Sofía Sal, Robert D. Hollister, Andrew Rassweiler, Christoph F. J. Meyer, Jeffrey C. Oliver, Isla H. Myers-Smith, Graham J. Edgar, Jacek Siciński, Beatriz Salgado, Fábio Venturoli, Matt Bradford, Borgþór Magnússon, Edward Castañeda-Moya, Anne D. Bjorkman, Eric Post, Alain Paquette, Or Givan, Jonathan S. Lefcheck, Falk Huettmann, Fábio Lang da Silveira, Roberto Cazzolla Gatti, Thomas J. Valone, Sarah C. Elmendorf, Sinta Pardede, Esben Moland Olsen, Laura Siegwart Collier, Flavio Antonio Maës dos Santos, Andrew H. Baird, Cheol Min Lee, Robert B. Waide, Olivia Mendivil Ramos, David C. Lightfoot, Stefan B. Williams, Ute Jandt, David Janík, Stephen S. Hale, Robin Elahi, Andrew L. Rypel, S. K. Morgan Ernest, Jörg Müller, Gaius R. Shaver, Anna Jażdżewska, José Mauro Sterza, Maarten Stevens, Denise de Cerqueira Rossa-Feres, Dor Edelist, Martha Isabel Vallejo, Michael Paul Nelson, Conor Waldock, Ricardo Ribeiro Rodrigues, Sally Sherman, Dustin J. Wilgers, Sharon K. Collinge, Kristen T. Holeck, Josep Peñuelas, Douglas A. Kelt, Tiago Egydio Barreto, Faye Moyes, Robert L. Schooley, Peter B. Reich, Jason Meador, Anders Michelsen, J. Paul Richardson, Sara J. Snell, Julio R. Gutiérrez, Chih-hao Hsieh, Gary D. Grossman, Hernando García, Ana Carolina da Silva, Kyle J. A. Zawada, Richard T. Holmes, John C. Priscu, Christine L. Huffard, Christian Rixen, William O. McLarney, Julia A. Jones, Anne Tolvanen, William A. Gould, Maite Louzao, Alejandro Pérez-Matus, Donald L. Henshaw, Kathleen L. Prudic, Herbert H. T. Prins, Helge Bruelheide, Catalina S. Ruz, Rui P. Vieira, Gary P. Thiede, Erin C. Keeley, James H. Brown, William R. Fraser, Pieter Provoost, Andrew S. Hoey, Robert J. Pabst, Kerry D. Woods, Fabiano Turini Farah, Nancy B. Rybicki, Sara E. Scanga, Trevor J. Willis, Daniel J. Metcalfe, Mark Williamson, Joshua S. Madin, Tasrif Kartawijaya, Brian J. McGill, Erica M. Sampaio, Shannan K. Crow, Stephen P. Hubbell, Jochen Schmidt, Daniel C. Reed, Steven Degraer, Laura H. Antão, Krzysztof Pabis, Christopher C. Koenig, Fernando Carvalho, Marcelo Vianna, Anne E. Magurran, Marc Estiarte, Rebecca Kinnear, Tracey Smart, Lesley T. Lancaster, Frank P. Day, Natalia Norden, Unai Cotano, Fábio Z. Farneda, Nelson Valdivia, Corinna Gries, Tomasz Wesołowski, Pedro Higuchi, Jungwon Kang, Randall W. Myster, Itai van Rijn, Oscar Pizarro, Michael L. Zettler, Simon Thorn, Thomas W. Sherry, Timothy E. Dunn, Tung-Yung Fan, Susan Boyd, Adrià López-Baucells, Tomáš Vrška, Tory J. Chase, Ruben Escribano, R. Williams, Carolina Mathias Moreira, John F. Chamblee, Con Quang Vu, Halvor Knutsen, Amanda E. Bates, Maria Dornelas, Kari Klanderud, Jorge Yoshio Tamashiro, Tom Moens, Sara L. Webb, Iain Matthews, Carl Van Colen, Chao-Yang Kuo, Caya Sievers, Faith A. M. Jones, Gary Haskins, Eric J. Woehler, J. Hans C. Cornelissen, Allen H. Hurlbert, Mia O. Hoogenboom, Pamela Hidalgo, Henry A. Ruhl, Brian S. Evans, Ørjan Totland, Lien Van Vu, Yzel Rondon Súarez, Gabriella Damasceno, Even Moland, John Harte, Andrew Naumov, Ethan P. White, Natália Macedo Ivanauskas, Systems Ecology, International Oceanographic Data and Information Exchange (IODE) of the Intergovernmental Oceanographic Commission of UNESCO, Oostende, Safety science group, Delft University of Technology (TU Delft), Institut Français de Pondichéry (IFP), Centre National de la Recherche Scientifique (CNRS)-Ministère de l'Europe et des Affaires étrangères (MEAE), Department of Biology [Pisa], University of Pisa - Università di Pisa, CSIRO Land and Water, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Institute of Biology/Geobotany and Botanical Garden, Martin-Luther-Universität Halle Wittenberg (MLU), Management Unit of the Mathematical Model of the North Sea, Royal Belgian Insitute of Natural Sciences, Floresta Estadual Assis, Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona [Barcelona] (UAB), National Museum of Marine Biology and Aquarium, Universidade de São Paulo (USP), Polar Oceans Research Group [USA], Department of Zoology, Tel Aviv University [Tel Aviv], Norwegian Institute for Nature Research (NINA), EWHALE Laboratory of Biology and Wildlife Department, Institute of Arctic Biology-University of Alaska [Fairbanks] (UAF), Laboratory of Polar Biology and Oceanobiology, University of Lódź, Dept Ecol Evol Biol, Univ California SC (EEB-UCSC), University of California [Santa Cruz] (UCSC), University of California-University of California, Département de chimie-biologie & Centre d’études nordiques [CANADA], Université du Québec à Trois-Rivières (UQTR), Human Communication Technologies Research Laboratory (UBC), University of British Columbia (UBC), Instituto Espanol de Oceanografia, Instituto Español de Oceanografía, Department of Biology [Copenhagen], Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Institute of Marine Research, Flødevigen Marine Research Station, Computer Laboratory [Cambridge], University of Cambridge [UK] (CAM), Aarhus University [Aarhus], Evolution et Diversité Biologique (EDB), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Centre for Forest Research (CFR), Université du Québec à Montréal (UQAM), The Centre for Applied Genomics, Toronto, University of Toronto-The Hospital for Sick Children-Department of Molecular Genetics-McLaughlin Centre, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Centro de Investigación Oceanográfica en el Pacífico Sur Oriental (COPAS), Universidad de Concepción [Chile], Department of Biology, Pennsylvania State University (Penn State), Penn State System-Penn State System, Department of Biological Science [Tallahassee], Florida State University [Tallahassee] (FSU), Department of Forest Resources, University of Minnesota [Twin Cities], University of Minnesota System-University of Minnesota System, WSL Institute for Snow and Avalanche Research SLF, Communication Systems Group [Zurich], Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology in Zürich [Zürich] (ETH Zürich), Academia Sinica, Facultad Ciencias del Mar, universidad catolica del Norte, Marine Biology Section, Ghent University [Belgium] (UGENT), Department of Avian Ecology, Wrocław University, Plymouth Marine Laboratory (PML), Plymouth Marine Laboratory, Institute for Marine and Antarctic Studies [Horbat] (IMAS), University of Tasmania (UTAS), European Project: 610028,EC:FP7:ERC,ERC-2013-SyG,IMBALANCE-P(2014), Dornelas, Maria, University of St Andrews. School of Biology, University of St Andrews. Fish Behaviour and Biodiversity Research Group, University of St Andrews. Marine Alliance for Science & Technology Scotland, University of St Andrews. Scottish Oceans Institute, University of St Andrews. Institute of Behavioural and Neural Sciences, University of St Andrews. St Andrews Sustainability Institute, University of St Andrews. Centre for Research into Ecological & Environmental Modelling, University of St Andrews. Sediment Ecology Research Group, University of St Andrews. Centre for Higher Education Research, Ministère de l'Europe et des Affaires étrangères (MEAE)-Centre National de la Recherche Scientifique (CNRS), Universitat Autònoma de Barcelona (UAB), Universidade de São Paulo = University of São Paulo (USP), Tel Aviv University (TAU), University of California [Santa Cruz] (UC Santa Cruz), University of California (UC)-University of California (UC), University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Flødevigen Research Station (IMR), Institute of Marine Research [Bergen] (IMR), University of Bergen (UiB)-University of Bergen (UiB), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Université du Québec à Montréal = University of Québec in Montréal (UQAM), The Hospital for sick children [Toronto] (SickKids)-University of Toronto-Department of Molecular Genetics-McLaughlin Centre, Universidad de Concepción - University of Concepcion [Chile], University of Minnesota [Twin Cities] (UMN), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Universiteit Gent = Ghent University (UGENT), University of Wrocław [Poland] (UWr), Institute for Marine and Antarctic Studies [Hobart] (IMAS), University of Tasmania [Hobart, Australia] (UTAS), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, University of Toronto-The Hospital for sick children [Toronto] (SickKids)-Department of Molecular Genetics-McLaughlin Centre, Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Universiteit Gent = Ghent University [Belgium] (UGENT), Dornelas M., Antao L.H., Moyes F., Bates A.E., Magurran A.E., Adam D., Akhmetzhanova A.A., Appeltans W., Arcos J.M., Arnold H., Ayyappan N., Badihi G., Baird A.H., Barbosa M., Barreto T.E., Bassler C., Bellgrove A., Belmaker J., Benedetti-Cecchi L., Bett B.J., Bjorkman A.D., Blazewicz M., Blowes S.A., Bloch C.P., Bonebrake T.C., Boyd S., Bradford M., Brooks A.J., Brown J.H., Bruelheide H., Budy P., Carvalho F., Castaneda-Moya E., Chen C.A., Chamblee J.F., Chase T.J., Siegwart Collier L., Collinge S.K., Condit R., Cooper E.J., Cornelissen J.H.C., Cotano U., Kyle Crow S., Damasceno G., Davies C.H., Davis R.A., Day F.P., Degraer S., Doherty T.S., Dunn T.E., Durigan G., Duffy J.E., Edelist D., Edgar G.J., Elahi R., Elmendorf S.C., Enemar A., Ernest S.K.M., Escribano R., Estiarte M., Evans B.S., Fan T.-Y., Turini Farah F., Loureiro Fernandes L., Farneda F.Z., Fidelis A., Fitt R., Fosaa A.M., Daher Correa Franco G.A., Frank G.E., Fraser W.R., Garcia H., Cazzolla Gatti R., Givan O., Gorgone-Barbosa E., Gould W.A., Gries C., Grossman G.D., Gutierrez J.R., Hale S., Harmon M.E., Harte J., Haskins G., Henshaw D.L., Hermanutz L., Hidalgo P., Higuchi P., Hoey A., Van Hoey G., Hofgaard A., Holeck K., Hollister R.D., Holmes R., Hoogenboom M., Hsieh C.-H., Hubbell S.P., Huettmann F., Huffard C.L., Hurlbert A.H., Macedo Ivanauskas N., Janik D., Jandt U., Jazdzewska A., Johannessen T., Johnstone J., Jones J., Jones F.A.M., Kang J., Kartawijaya T., Keeley E.C., Kelt D.A., Kinnear R., Klanderud K., Knutsen H., Koenig C.C., Kortz A.R., Kral K., Kuhnz L.A., Kuo C.-Y., Kushner D.J., Laguionie-Marchais C., Lancaster L.T., Min Lee C., Lefcheck J.S., Levesque E., Lightfoot D., Lloret F., Lloyd J.D., Lopez-Baucells A., Louzao M., Madin J.S., Magnusson B., Malamud S., Matthews I., McFarland K.P., McGill B., McKnight D., McLarney W.O., Meador J., Meserve P.L., Metcalfe D.J., Meyer C.F.J., Michelsen A., Milchakova N., Moens T., Moland E., Moore J., Mathias Moreira C., Muller J., Murphy G., Myers-Smith I.H., Myster R.W., Naumov A., Neat F., Nelson J.A., Paul Nelson M., Newton S.F., Norden N., Oliver J.C., Olsen E.M., Onipchenko V.G., Pabis K., Pabst R.J., Paquette A., Pardede S., Paterson D.M., Pelissier R., Penuelas J., Perez-Matus A., Pizarro O., Pomati F., Post E., Prins H.H.T., Priscu J.C., Provoost P., Prudic K.L., Pulliainen E., Ramesh B.R., Mendivil Ramos O., Rassweiler A., Rebelo J.E., Reed D.C., Reich P.B., Remillard S.M., Richardson A.J., Richardson J.P., van Rijn I., Rocha R., Rivera-Monroy V.H., Rixen C., Robinson K.P., Ribeiro Rodrigues R., de Cerqueira Rossa-Feres D., Rudstam L., Ruhl H., Ruz C.S., Sampaio E.M., Rybicki N., Rypel A., Sal S., Salgado B., Santos F.A.M., Savassi-Coutinho A.P., Scanga S., Schmidt J., Schooley R., Setiawan F., Shao K.-T., Shaver G.R., Sherman S., Sherry T.W., Sicinski J., Sievers C., da Silva A.C., Rodrigues da Silva F., Silveira F.L., Slingsby J., Smart T., Snell S.J., Soudzilovskaia N.A., Souza G.B.G., Maluf Souza F., Castro Souza V., Stallings C.D., Stanforth R., Stanley E.H., Mauro Sterza J., Stevens M., Stuart-Smith R., Rondon Suarez Y., Supp S., Yoshio Tamashiro J., Tarigan S., Thiede G.P., Thorn S., Tolvanen A., Teresa Zugliani Toniato M., Totland O., Twilley R.R., Vaitkus G., Valdivia N., Vallejo M.I., Valone T.J., Van Colen C., Vanaverbeke J., Venturoli F., Verheye H.M., Vianna M., Vieira R.P., Vrska T., Quang Vu C., Van Vu L., Waide R.B., Waldock C., Watts D., Webb S., Wesolowski T., White E.P., Widdicombe C.E., Wilgers D., Williams R., Williams S.B., Williamson M., Willig M.R., Willis T.J., Wipf S., Woods K.D., Woehler E.J., Zawada K., Zettler M.L., The Wellcome Trust, European Research Council, and University of St Andrews. Centre for Biological Diversity

Subjects
Data Papers, 0106 biological sciences, Range (biology), QH301 Biology, temporal, NERC, Biodiversity, Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480 [VDP], BIALOWIEZA NATIONAL-PARK, special, computer.software_genre, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 01 natural sciences, species richness, SDG 15 - Life on Land, biodiversity, Global and Planetary Change, B003-ecology, Database, Ecology, Sampling (statistics), SIMULATED HERBIVORY, supporting technologies, LAND-BRIDGE ISLANDS, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, PE&RC, global, PRIMEVAL TEMPERATE FOREST, Geography, POPULATION TRENDS, turnover, Data Paper, SECONDARY FOREST, Evolution, ESTUARINE COASTAL LAGOON, 010603 evolutionary biology, QH301, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Behavior and Systematics, Anthropocene, spatial, Ecology, Evolution, Behavior and Systematics, VDP::Mathematics and natural science: 400::Zoology and botany: 480, species richne, 14. Life underwater, SDG 14 - Life Below Water, NE/L002531/1, ZA4450, Relative species abundance, ZA4450 Databases, 010604 marine biology & hydrobiology, RCUK, Biology and Life Sciences, DAS, 15. Life on land, DECIDUOUS FOREST, Taxon, Fish, 13. Climate action, MCP, Wildlife Ecology and Conservation, LONG-TERM CHANGE, Species richness, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, computer, BIRD COMMUNITY DYNAMICS, VDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480
Abstract

Motivation The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2). Time period and grain BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates. Software format .csv and .SQL., Global Ecology and Biogeography, 27 (7), ISSN:1466-822X, ISSN:1466-8238

Published
2018
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25. An Experimental Methodology for Automated Detection of Surface Turbulence Features in Tidal Stream Environments.

Author

Slingsby J, Scott BE, Kregting L, McIlvenny J, Wilson J, Helleux F, and Williamson BJ

Abstract

Tidal stream environments are important areas of marine habitat for the development of marine renewable energy (MRE) sources and as foraging hotspots for megafaunal species (seabirds and marine mammals). Hydrodynamic features can promote prey availability and foraging efficiency that influences megafaunal foraging success and behaviour, with the potential for animal interactions with MRE devices. Uncrewed aerial vehicles (UAVs) offer a novel tool for the fine-scale data collection of surface turbulence features and animals, which is not possible through other techniques, to provide information on the potential environmental impacts of anthropogenic developments. However, large imagery datasets are time-consuming to manually review and analyse. This study demonstrates an experimental methodology for the automated detection of turbulence features within UAV imagery. A deep learning architecture, specifically a Faster R-CNN model, was used to autonomously detect kolk-boils within UAV imagery of a tidal stream environment. The model was trained on pre-existing, labelled images of kolk-boils that were pre-treated using a suite of image enhancement techniques based on the environmental conditions present within each image. A 75-epoch model variant provided the highest average recall and precision values; however, it appeared to be limited by sub-optimal detections of false positive values. Although further development is required, including the creation of standardised image data pools, increased model benchmarking and the advancement of tailored pre-processing techniques, this work demonstrates the viability of utilising deep learning to automate the detection of surface turbulence features within a tidal stream environment.

Published
2024
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26. Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction.

Author

Singh G, Moncrieff G, Venter Z, Cawse-Nicholson K, Slingsby J, and Robinson TB

Abstract

Machine learning is increasingly applied to Earth Observation (EO) data to obtain datasets that contribute towards international accords. However, these datasets contain inherent uncertainty that needs to be quantified reliably to avoid negative consequences. In response to the increased need to report uncertainty, we bring attention to the promise of conformal prediction within the domain of EO. Unlike previous uncertainty quantification methods, conformal prediction offers statistically valid prediction regions while concurrently supporting any machine learning model and data distribution. To support the need for conformal prediction, we reviewed EO datasets and found that only 22.5% of the datasets incorporated a degree of uncertainty information, with unreliable methods prevalent. Current open implementations require moving large amounts of EO data to the algorithms. We introduced Google Earth Engine native modules that bring conformal prediction to the data and compute, facilitating the integration of uncertainty quantification into existing traditional and deep learning modelling workflows. To demonstrate the versatility and scalability of these tools we apply them to valued EO applications spanning local to global extents, regression, and classification tasks. Subsequently, we discuss the opportunities arising from the use of conformal prediction in EO. We anticipate that accessible and easy-to-use tools, such as those provided here, will drive wider adoption of rigorous uncertainty quantification in EO, thereby enhancing the reliability of downstream uses such as operational monitoring and decision-making., (© 2024. The Author(s).)

Published
2024
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27. Assessing the effects of tidal stream marine renewable energy on seabirds: A conceptual framework.

Author

Isaksson N, Masden EA, Williamson BJ, Costagliola-Ray MM, Slingsby J, Houghton JDR, and Wilson J

Subjects
Animals, Birds, Northern Ireland, United Kingdom, Renewable Energy, Rivers
Abstract

We are at a crossroads where many nation states, including the United Kingdom of Great Britain and Northern Ireland (UK), are committing to increased electricity production from "green energy", of which tidal stream marine renewable energy is one such resource. However, many questions remain regarding the effects of tidal energy devices on marine wildlife, including seabirds, of which the UK has internationally important numbers. Guidelines are lacking on how best to use both well-established and novel survey methods to assess seabird use of tidal flow areas, leading to a data-rich but information poor (DRIP) situation. This review provides a conceptual framework for assessing the effects of tidal stream energy devices on seabirds, summarises current knowledge and highlights knowledge gaps. Finally, recommendations are given for how best to pursue knowledge on this topic., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Published
2020
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28. BioTIME: A database of biodiversity time series for the Anthropocene.

Author

Dornelas M, Antão LH, Moyes F, Bates AE, Magurran AE, Adam D, Akhmetzhanova AA, Appeltans W, Arcos JM, Arnold H, Ayyappan N, Badihi G, Baird AH, Barbosa M, Barreto TE, Bässler C, Bellgrove A, Belmaker J, Benedetti-Cecchi L, Bett BJ, Bjorkman AD, Błażewicz M, Blowes SA, Bloch CP, Bonebrake TC, Boyd S, Bradford M, Brooks AJ, Brown JH, Bruelheide H, Budy P, Carvalho F, Castañeda-Moya E, Chen CA, Chamblee JF, Chase TJ, Siegwart Collier L, Collinge SK, Condit R, Cooper EJ, Cornelissen JHC, Cotano U, Kyle Crow S, Damasceno G, Davies CH, Davis RA, Day FP, Degraer S, Doherty TS, Dunn TE, Durigan G, Duffy JE, Edelist D, Edgar GJ, Elahi R, Elmendorf SC, Enemar A, Ernest SKM, Escribano R, Estiarte M, Evans BS, Fan TY, Turini Farah F, Loureiro Fernandes L, Farneda FZ, Fidelis A, Fitt R, Fosaa AM, Daher Correa Franco GA, Frank GE, Fraser WR, García H, Cazzolla Gatti R, Givan O, Gorgone-Barbosa E, Gould WA, Gries C, Grossman GD, Gutierréz JR, Hale S, Harmon ME, Harte J, Haskins G, Henshaw DL, Hermanutz L, Hidalgo P, Higuchi P, Hoey A, Van Hoey G, Hofgaard A, Holeck K, Hollister RD, Holmes R, Hoogenboom M, Hsieh CH, Hubbell SP, Huettmann F, Huffard CL, Hurlbert AH, Macedo Ivanauskas N, Janík D, Jandt U, Jażdżewska A, Johannessen T, Johnstone J, Jones J, Jones FAM, Kang J, Kartawijaya T, Keeley EC, Kelt DA, Kinnear R, Klanderud K, Knutsen H, Koenig CC, Kortz AR, Král K, Kuhnz LA, Kuo CY, Kushner DJ, Laguionie-Marchais C, Lancaster LT, Min Lee C, Lefcheck JS, Lévesque E, Lightfoot D, Lloret F, Lloyd JD, López-Baucells A, Louzao M, Madin JS, Magnússon B, Malamud S, Matthews I, McFarland KP, McGill B, McKnight D, McLarney WO, Meador J, Meserve PL, Metcalfe DJ, Meyer CFJ, Michelsen A, Milchakova N, Moens T, Moland E, Moore J, Mathias Moreira C, Müller J, Murphy G, Myers-Smith IH, Myster RW, Naumov A, Neat F, Nelson JA, Paul Nelson M, Newton SF, Norden N, Oliver JC, Olsen EM, Onipchenko VG, Pabis K, Pabst RJ, Paquette A, Pardede S, Paterson DM, Pélissier R, Peñuelas J, Pérez-Matus A, Pizarro O, Pomati F, Post E, Prins HHT, Priscu JC, Provoost P, Prudic KL, Pulliainen E, Ramesh BR, Mendivil Ramos O, Rassweiler A, Rebelo JE, Reed DC, Reich PB, Remillard SM, Richardson AJ, Richardson JP, van Rijn I, Rocha R, Rivera-Monroy VH, Rixen C, Robinson KP, Ribeiro Rodrigues R, de Cerqueira Rossa-Feres D, Rudstam L, Ruhl H, Ruz CS, Sampaio EM, Rybicki N, Rypel A, Sal S, Salgado B, Santos FAM, Savassi-Coutinho AP, Scanga S, Schmidt J, Schooley R, Setiawan F, Shao KT, Shaver GR, Sherman S, Sherry TW, Siciński J, Sievers C, da Silva AC, Rodrigues da Silva F, Silveira FL, Slingsby J, Smart T, Snell SJ, Soudzilovskaia NA, Souza GBG, Maluf Souza F, Castro Souza V, Stallings CD, Stanforth R, Stanley EH, Mauro Sterza J, Stevens M, Stuart-Smith R, Rondon Suarez Y, Supp S, Yoshio Tamashiro J, Tarigan S, Thiede GP, Thorn S, Tolvanen A, Teresa Zugliani Toniato M, Totland Ø, Twilley RR, Vaitkus G, Valdivia N, Vallejo MI, Valone TJ, Van Colen C, Vanaverbeke J, Venturoli F, Verheye HM, Vianna M, Vieira RP, Vrška T, Quang Vu C, Van Vu L, Waide RB, Waldock C, Watts D, Webb S, Wesołowski T, White EP, Widdicombe CE, Wilgers D, Williams R, Williams SB, Williamson M, Willig MR, Willis TJ, Wipf S, Woods KD, Woehler EJ, Zawada K, Zettler ML, and Hickler T

Abstract

Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene., Main Types of Variables Included: The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record., Spatial Location and Grain: BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km 2 (158 cm 2 ) to 100 km 2 (1,000,000,000,000 cm 2 )., Time Period and Grain: BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year., Major Taxa and Level of Measurement: BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates., Software Format: .csv and .SQL.

Published
2018
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29. Electronic structure and spectroscopic analysis of 1-ethyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide ion pair.

Author

Vyas S, Dreyer C, Slingsby J, Bicknase D, Porter JM, and Maupin CM

Abstract

Electronic and structural properties of the room temperature ionic liquid 1-ethyl-3-methylimidazolium bis(trifluoromethylsulonyl)imide are studied using density functional theory (DFT) methods in addition to infrared and UV-vis spectroscopy. The DFT methods were conducted for both gas phase and solution phase using the integral equation formalism polarizable continuum model, while optical absorption experiments were conducted using neat and dilute methanol solutions. Three energetically similar conformers were obtained for each of the gas phase and solution phase DFT calculations. These multiple configurations were considered when analyzing the molecular interactions between the ion pair and for a molecular-level interpretation of the experimental IR and UV-vis spectroscopy data. Excitation energies of low-lying singlet excited states of the conformers were calculated with time-dependent DFT and experimentally with UV-vis absorption spectra. Difference density plots and excited-state calculations in the gas phase are found to be in good agreement with the experimental findings, while the implicit solvation model calculations adversely impacted the accuracy of the predicted spectra.

Published
2014
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30. Tracking socioeconomic vulnerability using network analysis: insights from an avian influenza outbreak in an ostrich production network.

Author

Moore C, Cumming GS, Slingsby J, and Grewar J

Subjects
Animals, Animals, Domestic virology, Disease Outbreaks prevention & control, Disease Outbreaks statistics & numerical data, Host-Pathogen Interactions, Influenza A Virus, H5N2 Subtype physiology, Influenza in Birds epidemiology, Influenza in Birds virology, Risk Factors, Seasons, South Africa epidemiology, Struthioniformes virology, Time Factors, Animal Husbandry methods, Animals, Domestic growth & development, Computer Communication Networks, Struthioniformes growth & development
Abstract

Background: The focus of management in many complex systems is shifting towards facilitation, adaptation, building resilience, and reducing vulnerability. Resilience management requires the development and application of general heuristics and methods for tracking changes in both resilience and vulnerability. We explored the emergence of vulnerability in the South African domestic ostrich industry, an animal production system which typically involves 3-4 movements of each bird during its lifetime. This system has experienced several disease outbreaks, and the aim of this study was to investigate whether these movements have contributed to the vulnerability of this system to large disease outbreaks., Methodology/principal Findings: The ostrich production system requires numerous movements of birds between different farm types associated with growth (i.e. Hatchery to juvenile rearing farm to adult rearing farm). We used 5 years of movement records between 2005 and 2011 prior to an outbreak of Highly Pathogenic Avian Influenza (H5N2). These data were analyzed using a network analysis in which the farms were represented as nodes and the movements of birds as links. We tested the hypothesis that increasing economic efficiency in the domestic ostrich industry in South Africa made the system more vulnerable to outbreak of Highly Pathogenic Avian Influenza (H5N2). Our results indicated that as time progressed, the network became increasingly vulnerable to pathogen outbreaks. The farms that became infected during the outbreak displayed network qualities, such as significantly higher connectivity and centrality, which predisposed them to be more vulnerable to disease outbreak., Conclusions/significance: Taken in the context of previous research, our results provide strong support for the application of network analysis to track vulnerability, while also providing useful practical implications for system monitoring and management.

Published
2014
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31. Direct retroviral delivery of human cytochrome P450 2B6 for gene-directed enzyme prodrug therapy of cancer.

Author

Kan O, Griffiths L, Baban D, Iqball S, Uden M, Spearman H, Slingsby J, Price T, Esapa M, Kingsman S, Kingsman A, Slade A, and Naylor S

Subjects
Animals, Antineoplastic Agents, Alkylating administration & dosage, Blotting, Western, Cross-Linking Reagents pharmacology, Cyclophosphamide administration & dosage, Cyclophosphamide metabolism, Cytochrome P-450 CYP2B6, DNA metabolism, Genetic Vectors metabolism, Humans, In Situ Nick-End Labeling, Mice, Mice, Nude, Microsomes metabolism, Neoplasm Transplantation, Plasmids metabolism, Time Factors, Transduction, Genetic, Tumor Cells, Cultured, Aryl Hydrocarbon Hydroxylases, Cytochrome P-450 Enzyme System genetics, Gene Transfer Techniques, Genetic Therapy methods, Neoplasms therapy, Oxidoreductases, N-Demethylating genetics, Prodrugs therapeutic use, Retroviridae genetics
Abstract

Human cytochrome P450 2B6 (CYP2B6) metabolizes the prodrug cyclophosphamide (CPA) to produce phosphoramide mustard that cross-links DNA leading to cell death. We have constructed a novel retroviral vector encoding CYP2B6 (designated "MetXia-P450") and used it to transduce the human tumor cell lines HT29 and T47D. MetXia-P450 transduction sensitised these cells to the cytotoxic effects of the prodrug CPA. Results from in vitro experiments demonstrated adverse effects on the clonogenic survival of cyclophosphamide-treated cells transduced with MetXia-P450. Cytotoxic activity accompanied by bystander effect was particularly evident in 3-D multicellular spheroid models suggesting that this in vitro system may be a more appropriate model for assessing the efficacy of gene directed-enzyme prodrug therapy (GDEPT). We have applied this approach in a clinically relevant gene therapy protocol on established subcutaneous tumor xenografts. These studies show for the first time the efficacy of a P450-based GDEPT strategy mediated by a direct retroviral gene transfer in vivo.

Published
2001
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32. Analysis of 4070A envelope levels in retroviral preparations and effect on target cell transduction efficiency.

Author

Slingsby JH, Baban D, Sutton J, Esapa M, Price T, Kingsman SM, Kingsman AJ, and Slade A

Subjects
Animals, Antibodies, Monoclonal, Blotting, Western, Cell Line, Culture Media, Dose-Response Relationship, Drug, Genes, gag genetics, Genes, pol genetics, Humans, Phosphates pharmacology, RNA, Messenger metabolism, Rats, Receptors, Virus metabolism, Retroviridae genetics, Tumor Cells, Cultured, Gene Transfer Techniques, Genes, env genetics, Moloney murine leukemia virus genetics, Transduction, Genetic
Abstract

A number of stable producer cell lines for high-titer Mo-MuLV vectors have been constructed. Development has previously centered on increasing end-point titers by producing maximal levels of Mo-MuLV Gag/Pol, envelope glycoproteins, and retroviral RNA genomes. We describe the production yields and transduction efficiency characteristics of two Mo-MuLV packaging cell lines, FLYA13 and TEFLYA. Although they both produce 4070A-pseudotyped retroviral vectors reproducibly at >1 x 10(6) LFU ml(-1), the transduction efficiency of unconcentrated and concentrated virus from FLYA13 lines is poor compared with vector preparations from TEFLYA lines. A powerful inhibitor of retroviral transduction is secreted by FLYA13 packaging cells. We show that the inhibitory factor does not affect transduction of target cells by RD114-pseudotyped vectors. This suggests that the inhibitory factor functions at the level of envelope-receptor interactions. Phosphate starvation of target cells shows a two-fold increase in Pit2 receptor mRNA and causes some improvement in FLYA13 virus transduction efficiency. Western blots show that FLYA13 viral samples contain an eight-fold higher ratio of 4070A envelope to p30gag than that of virus produced by TEFLYA producer cell lines. This study correlates overexpression of 4070A envelope glycoprotein in retroviral preparations with a reduction of transduction efficiency at high multiplicities of infection. We suggest that TEFLYA packaging cells express preferable levels of 4070A compared with FLYA13, which not only enables high-titer stocks to be generated, but also facilitates a high efficiency of transduction of target cells.

Published
2000
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33. Identification of intervals on chromosomes 1, 3, and 13 linked to the development of lupus in BXSB mice.

Author

Haywood ME, Hogarth MB, Slingsby JH, Rose SJ, Allen PJ, Thompson EM, Maibaum MA, Chandler P, Davies KA, Simpson E, Walport MJ, and Morley BJ

Subjects
Alleles, Animals, Antibodies, Antinuclear genetics, Chromosomes, Human, Pair 1, Chromosomes, Human, Pair 13, Chromosomes, Human, Pair 3, DNA immunology, Genetic Linkage, Genetic Predisposition to Disease genetics, Humans, Male, Mice, Mice, Inbred Strains, Chromosomes genetics, Lupus Erythematosus, Systemic genetics
Abstract

Objective: To identify intervals containing systemic lupus erythematosus (SLE) susceptibility alleles in the BXSB strain of mice., Methods: We analyzed 286 (B10 x [B10 x BXSB]F1) backcross mice for a range of phenotypic traits associated with the development of SLE in BXSB mice. The mice were genotyped using 93 microsatellite markers, and the linkage of these markers to disease was studied by extreme-phenotype and quantitative trait locus analysis., Results: The disease phenotype in these backcross mice was less severe than that in BXSB mice. However, antinuclear antibody production was increased compared with the parental strain. We identified 4 areas of genetic linkage to disease on chromosome 1 (Bxs1-4), 1 on chromosome 3 (Bxs5), and another interval on chromosome 13 which were associated with various aspects of the phenotype. Bxs4 and Bxs5 are located in regions not previously linked to disease in other models of SLE., Conclusion: SLE in the BXSB mouse model has a complex genetic basis and involves at least 5 distinct intervals located on chromosomes 1 and 3. There is evidence that different intervals affect particular aspects of the SLE phenotype.

Published
2000
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34. Survey of Turkish systemic lupus erythematosus patients for a particular mutation of C1Q deficiency.

Author

Topaloglu R, Bakkaloglu A, Slingsby JH, Aydintug O, Besbas N, Saatci U, and Walport MJ

Subjects
Adolescent, Adult, Alleles, Base Sequence genetics, Child, Female, Heterozygote, Homozygote, Humans, Male, Middle Aged, Turkey, Complement C1q deficiency, Complement C1q genetics, Health Surveys, Lupus Erythematosus, Systemic genetics, Mutation
Abstract

Objective: Hereditary C1q deficiency is a rare disease and up to now only 41 cases have been reported. Since all but 3 cases developed SLE or SLE-like disease, C1q deficiency represents the most powerful disease susceptibility gene identified for the development of SLE in humans. A molecular defect in homozygous C1q deficiency has been identified in 13 families. Four of these families are Turkish in origin and they all share the same mutation which is a CAG to TAG change at codon 186 in the A chain. This led us to investigate whether this mutation might be found in Turkish SLE patients and whether it could cause increased disease susceptibility when expressed in the heterozygous form., Methods: We screened 65 Turkish lupus patients and 49 healthy Turkish individuals by carrying out an amplification of exon 2 of the A chain and restriction enzyme analysis for the C1qA mutation., Results: We found no other example of this mutation in either the homozygous or heterozygous forms., Conclusion: C1q deficiency is one of the very strong disease susceptibility genes in lupus and may cause SLE via a critical role in the physiological clearance of apoptotic cells. However, C1q deficiency caused by a particular mutation in the A chain in a heterozygous form is not found in the Turkish SLE population.

Published
2000

35. Multiple lupus susceptibility loci map to chromosome 1 in BXSB mice.

Author

Hogarth MB, Slingsby JH, Allen PJ, Thompson EM, Chandler P, Davies KA, Simpson E, Morley BJ, and Walport MJ

Subjects
Animals, Autoantibodies biosynthesis, Autoantibodies blood, Crosses, Genetic, Disease Susceptibility, Genetic Linkage immunology, Kidney pathology, Lupus Nephritis immunology, Lupus Nephritis mortality, Lupus Nephritis pathology, Lymph Nodes pathology, Male, Mice, Mice, Inbred C57BL, Mice, Inbred Strains, Phenotype, Spleen pathology, Chromosome Mapping, Genetic Markers immunology, Lupus Nephritis genetics
Abstract

BXSB mice spontaneously develop a lupus-like syndrome that is accelerated by the Yaa gene (Y-linked autoimmune accelerator). We studied the phenotype of disease in (B10 x BXSB)F1 and (BXSB x (B10 x BXSB)F1) backcross mice and genotyped 224 backcross animals to allow a microsatellite-based genome-wide linkage analysis to be conducted. In the backcross population, three intervals on chromosome 1 showed significant linkage to disease, suggesting that multiple loci contribute to the production of autoimmune disease. D1Mit5 at 32.8 cM was linked to development of nephritis (chi(2) = 15.68, p = 7.5 x 10(-5)), as was D1Mit12 at 63.1 cM (chi(2) = 20.17, p = 7.1 x 10(-6)). D1Mit403 at 100 cM was linked to anti-dsDNA Ab production (chi(2) = 17.28, p = 3.2 x 10(-5)). Suggestive linkages to antinuclear Abs and nephritis were identified on chromosome 3, to splenomegaly on chromosome 4, and to anti-ssDNA Ab production on chromosome 10. Chromosome 4 and the telomeric region of chromosome 1 have previously been linked to disease in other mouse models of systemic lupus erythematosus; however, the centromeric regions of chromosome 1 and chromosomes 3 and 10 are unique to BXSB. This implies that, though some loci may be common to a number of mouse models of lupus, different clusters of disease genes confer disease susceptibility in different strains of mice.

Published
1998

38. Molecular basis of hereditary C1q deficiency associated with SLE and IgA nephropathy in a Turkish family.

Author

Topaloglu R, Bakkaloglu A, Slingsby JH, Mihatsch MJ, Pascual M, Norsworthy P, Morley BJ, Saatci U, Schifferli JA, and Walport MJ

Subjects
Adolescent, Base Sequence, Child, Child, Preschool, DNA Primers genetics, Female, Glomerulonephritis, IGA blood, Glomerulonephritis, IGA complications, Glomerulonephritis, Membranoproliferative blood, Glomerulonephritis, Membranoproliferative complications, Glomerulonephritis, Membranoproliferative genetics, Hepatitis B Vaccines immunology, Homozygote, Humans, Immunization, Lupus Erythematosus, Systemic blood, Lupus Erythematosus, Systemic complications, Male, Pedigree, Point Mutation, Polymerase Chain Reaction, Turkey, Complement C1q deficiency, Complement C1q genetics, Glomerulonephritis, IGA genetics, Lupus Erythematosus, Systemic genetics
Abstract

Two siblings (case 1 and case 2) with homozygous C1q deficiency are described. Both presented with a photosensitive rash, and during follow-up case one developed SLE with nephrotic range proteinuria. Case 2 had microscopic hematuria with a past history of macroscopic hematuria. Renal biopsies revealed mesangioproliferative glomerulonephritis in case 1 and IgA nephropathy in case 2, a new finding in association with C1q deficiency. Since the classical pathway of complement plays a role in the development of antibody responses, the family was also evaluated for the immune response to hepatitis B vaccine. Antibody response to hepatitis B vaccine was normal in both affected members and the rest of the family. The A-, B- and C- chain genes of C1q were amplified by PCR and directly sequenced. A homozygous C to T point mutation was identified in genomic DNA isolated from the patients at codon 186 in the A chain that resulted in a premature stop codon. This mutation was present in both parents and both unaffected sibs in the heterozygous state. This mutation was identical to that previously described in a Slovakian family with C1q deficiency. Because of this finding, a series of 92 genomic DNA samples was screened from ethnically distinct patient groups with SLE to test the hypothesis that this mutation of C1q may be a widespread disease susceptibility gene. No further examples of this mutation were found.

Published
1996
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39. Homozygous hereditary C1q deficiency and systemic lupus erythematosus. A new family and the molecular basis of C1q deficiency in three families.

Author

Slingsby JH, Norsworthy P, Pearce G, Vaishnaw AK, Issler H, Morley BJ, and Walport MJ

Subjects
Base Sequence, Child, Preschool, Consanguinity, Female, Gene Deletion, Humans, Infant, Male, Molecular Sequence Data, Nuclear Family, Complement C1q deficiency, Complement C1q genetics, Homozygote, Lupus Erythematosus, Systemic genetics, Point Mutation genetics
Abstract

Objective: To describe a new kindred with Clq deficiency and to identify the molecular lesions responsible for complete functional C1q deficiency in this and 2 other previously described kindreds., Methods: The A-, B-, and C-chain genes of C1q were amplified by polymerase chain reaction, cloned, and sequenced. The DNA sequence was checked for mutations., Result: Patient 1 had a homozygous G-to-A change at codon 6 of the C chain, causing an amino acid change from Gly to Arg. Patient 2 had a homozygous deletion of a C nucleotide at codon 43 of the C-chain, causing a frame shift, leading to a premature stop codon at codon 108. Patient 3 had a homozygous C-to-T mutation at amino acid position 41 of the C chain, resulting in a premature stop codon., Conclusion: In the homozygous state, the mutations are sufficient to cause complete deficiency of Clq. The mutation in patient 1 has been previously reported in a patient of different ethnic origin. A survey of a series of 158 DNA samples from patients with systemic lupus erythematosus showed no other examples of this mutant allele.

Published
1996
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40. Empathic joy and the empathy-altruism hypothesis.

Author

Batson CD, Batson JG, Slingsby JK, Harrell KL, Peekna HM, and Todd RM

Subjects
Adult, Affect, Arousal, Feedback, Female, Helping Behavior, Humans, Altruism, Empathy, Happiness
Abstract

Three experiments tested whether empathy evokes egoistic motivation to share vicariously in the victim's joy at improvement (the empathic-joy hypothesis) instead of altruistic motivation to increase the victim's welfare (the empathy-altruism hypothesis). In Experiment 1, Ss induced to feel either low or high empathy for a young woman in need were given a chance to help her. Some believed that if they helped they would receive feedback about her improvement; others did not. In Experiments 2 and 3, Ss induced to feel either low or high empathy were given a choice of getting update information about a needy person's condition. Before choosing, they were told the likelihood of the person's condition having improved--and of their experiencing empathic joy--was 20%, was 50%, or was 80%. Results of none of the experiments patterned as predicted by the empathic-joy hypothesis; instead, results of each were consistent with the empathy-altruism hypothesis.

Published
1991
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41. Separation and quantitation of some urinary arylalkylamines.

Author

Slingsby JM and Boulton AA

Subjects
Chromatography, Ion Exchange, Humans, Mass Spectrometry, Phenethylamines urine, Tryptamines urine, Tyramine urine
Abstract

The arylalkylamines m- and p-tyramine, beta-phenylethylamine and tryptamine in their unconjugated forms have been identified and quantitated in urine collected from human volunteers. Their excretion levels (mean+/-standard error of the mean in mug/g creatinine) were, respectively, 67 +/- 5, 419 +/- 37, 4.6 +/- 1.2, and 82 +/- 11.

Published
1976
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