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1. Global fine-resolution data on springtail abundance and community structure.

Author

Potapov AM, Chen TW, Striuchkova AV, Alatalo JM, Alexandre D, Arbea J, Ashton T, Ashwood F, Babenko AB, Bandyopadhyaya I, Baretta CRDM, Baretta D, Barnes AD, Bellini BC, Bendjaballah M, Berg MP, Bernava V, Bokhorst S, Bokova AI, Bolger T, Bouchard M, Brito RA, Buchori D, Castaño-Meneses G, Chauvat M, Chomel M, Chow Y, Chown SL, Classen AT, Cortet J, Čuchta P, de la Pedrosa AM, De Lima ECA, Deharveng LE, Doblas Miranda E, Drescher J, Eisenhauer N, Ellers J, Ferlian O, Ferreira SSD, Ferreira AS, Fiera C, Filser J, Franken O, Fujii S, Koudji EG, Gao M, Gendreau-Berthiaume B, Gers C, Greve M, Hamra-Kroua S, Handa IT, Hasegawa M, Heiniger C, Hishi T, Holmstrup M, Homet P, Høye TT, Ivask M, Jacques B, Janion-Scheepers C, Jochum M, Joimel S, Jorge BCS, Juceviča E, Kapinga EM, Kováč Ľ, Krab EJ, Krogh PH, Kuu A, Kuznetsova N, Lam WN, Lin D, Lindo Z, Liu AWP, Lu JZ, Luciáñez MJ, Marx MT, Mawan A, McCary MA, Minor MA, Mitchell GI, Moreno D, Nakamori T, Negri I, Nielsen UN, Ochoa-Hueso R, Oliveira Filho LCI, Palacios-Vargas JG, Pollierer MM, Ponge JF, Potapov MB, Querner P, Rai B, Raschmanová N, Rashid MI, Raymond-Léonard LJ, Reis AS, Ross GM, Rousseau L, Russell DJ, Saifutdinov RA, Salmon S, Santonja M, Saraeva AK, Sayer EJ, Scheunemann N, Scholz C, Seeber J, Shaw P, Shveenkova YB, Slade EM, Stebaeva S, Sterzynska M, Sun X, Susanti WI, Taskaeva AA, Tay LS, Thakur MP, Treasure AM, Tsiafouli M, Twala MN, Uvarov AV, Venier LA, Widenfalk LA, Widyastuti R, Winck B, Winkler D, Wu D, Xie Z, Yin R, Zampaulo RA, Zeppelini D, Zhang B, Zoughailech A, Ashford O, Klauberg-Filho O, and Scheu S

Subjects
Animals, Ecosystem, Forests, Seasons, Soil, Arthropods
Abstract

Springtails (Collembola) inhabit soils from the Arctic to the Antarctic and comprise an estimated ~32% of all terrestrial arthropods on Earth. Here, we present a global, spatially-explicit database on springtail communities that includes 249,912 occurrences from 44,999 samples and 2,990 sites. These data are mainly raw sample-level records at the species level collected predominantly from private archives of the authors that were quality-controlled and taxonomically-standardised. Despite covering all continents, most of the sample-level data come from the European continent (82.5% of all samples) and represent four habitats: woodlands (57.4%), grasslands (14.0%), agrosystems (13.7%) and scrublands (9.0%). We included sampling by soil layers, and across seasons and years, representing temporal and spatial within-site variation in springtail communities. We also provided data use and sharing guidelines and R code to facilitate the use of the database by other researchers. This data paper describes a static version of the database at the publication date, but the database will be further expanded to include underrepresented regions and linked with trait data., (© 2024. The Author(s).)

Published
2024
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2. Globally invariant metabolism but density-diversity mismatch in springtails.

Author

Potapov AM, Guerra CA, van den Hoogen J, Babenko A, Bellini BC, Berg MP, Chown SL, Deharveng L, Kováč Ľ, Kuznetsova NA, Ponge JF, Potapov MB, Russell DJ, Alexandre D, Alatalo JM, Arbea JI, Bandyopadhyaya I, Bernava V, Bokhorst S, Bolger T, Castaño-Meneses G, Chauvat M, Chen TW, Chomel M, Classen AT, Cortet J, Čuchta P, Manuela de la Pedrosa A, Ferreira SSD, Fiera C, Filser J, Franken O, Fujii S, Koudji EG, Gao M, Gendreau-Berthiaume B, Gomez-Pamies DF, Greve M, Tanya Handa I, Heiniger C, Holmstrup M, Homet P, Ivask M, Janion-Scheepers C, Jochum M, Joimel S, Claudia S Jorge B, Jucevica E, Ferlian O, Iuñes de Oliveira Filho LC, Klauberg-Filho O, Baretta D, Krab EJ, Kuu A, de Lima ECA, Lin D, Lindo Z, Liu A, Lu JZ, Luciañez MJ, Marx MT, McCary MA, Minor MA, Nakamori T, Negri I, Ochoa-Hueso R, Palacios-Vargas JG, Pollierer MM, Querner P, Raschmanová N, Rashid MI, Raymond-Léonard LJ, Rousseau L, Saifutdinov RA, Salmon S, Sayer EJ, Scheunemann N, Scholz C, Seeber J, Shveenkova YB, Stebaeva SK, Sterzynska M, Sun X, Susanti WI, Taskaeva AA, Thakur MP, Tsiafouli MA, Turnbull MS, Twala MN, Uvarov AV, Venier LA, Widenfalk LA, Winck BR, Winkler D, Wu D, Xie Z, Yin R, Zeppelini D, Crowther TW, Eisenhauer N, and Scheu S

Subjects
Humans, Animals, Biodiversity, Tundra, Soil, Ecosystem, Arthropods
Abstract

Soil life supports the functioning and biodiversity of terrestrial ecosystems. Springtails (Collembola) are among the most abundant soil arthropods regulating soil fertility and flow of energy through above- and belowground food webs. However, the global distribution of springtail diversity and density, and how these relate to energy fluxes remains unknown. Here, using a global dataset representing 2470 sites, we estimate the total soil springtail biomass at 27.5 megatons carbon, which is threefold higher than wild terrestrial vertebrates, and record peak densities up to 2 million individuals per square meter in the tundra. Despite a 20-fold biomass difference between the tundra and the tropics, springtail energy use (community metabolism) remains similar across the latitudinal gradient, owing to the changes in temperature with latitude. Neither springtail density nor community metabolism is predicted by local species richness, which is high in the tropics, but comparably high in some temperate forests and even tundra. Changes in springtail activity may emerge from latitudinal gradients in temperature, predation and resource limitation in soil communities. Contrasting relationships of biomass, diversity and activity of springtail communities with temperature suggest that climate warming will alter fundamental soil biodiversity metrics in different directions, potentially restructuring terrestrial food webs and affecting soil functioning., (© 2023. The Author(s).)

Published
2023
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3. 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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4. 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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5. 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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6. Effects of nasal pressure support on ventilation and inspiratory work in normocapnic and hypercapnic patients with stable COPD.

Author

Vanpee D, El Khawand C, Rousseau L, Jamart J, and Delaunois L

Subjects
Blood Gas Analysis, Humans, Middle Aged, Plethysmography, Whole Body, Pulmonary Disease, Chronic Obstructive metabolism, Hypercapnia metabolism, Positive-Pressure Respiration, Pressure, Pulmonary Disease, Chronic Obstructive therapy, Respiration, Work of Breathing
Abstract

Objectives: To assess and compare the effect of nasal continuous positive airway pressure (nCPAP), inspiratory pressure support (PSV), and bilevel positive airway pressure (biPAP) on ventilatory parameters and inspiratory work (WOB) in normocapnic and hypercapnic patients with stable COPD., Methods: While administering nasal pressure support to 10 normocapnic and 10 hypercapnic patients with COPD, we measured airflow and volume with a pneumotachograph as well as esophageal and gastric pressures under nCPAP, PSV, and biPAP conditions., Results: nCPAP had no influence on ventilatory parameters but decreased WOB and transdiaphragmatic work (Wdi) at 10 cm H(2)O of pressure in both groups. With PSV and biPAP, ventilatory parameters increased proportionally to the inspiratory applied pressure. WOB and Wdi decreased significantly in both groups while increasing the pressure support. A similar decrease was observed during biPAP proportionally to the level of pressure support. The diaphragmatic pressure-time product decreased similarly in both groups during PSV and biPAP., Conclusion: The ventilatory response under nCPAP, PSV, and biPAP conditions is similar in hypercapnic and normocapnic patients with stable COPD; PSV and biPAP increase ventilatory parameters and improve Wdi. On the contrary, nCPAP improves WOB but does not increase ventilatory parameters.

Published
2002
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7. Usefulness of the supine-rest maneuver before neurohormonal sampling.

Author

Selvais PL, Rousseau LJ, Ahn SA, Van Linden F, Ketelslegers JM, and Rousseau MF

Subjects
Atrial Natriuretic Factor blood, Biomarkers blood, Coronary Artery Disease blood, Coronary Artery Disease complications, Endothelin-1 blood, Heart Failure blood, Heart Failure complications, Humans, Natriuretic Peptide, Brain blood, Neurotransmitter Agents blood, Rest, Supine Position
Published
2002
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8. Influence of respiratory behavior on ventilation, respiratory work and intrinsic PEEP during noninvasive nasal pressure support ventilation in normal subjects.

Author

Vanpee D, el-Khawand C, Rousseau L, Jamart J, and Delaunois L

Subjects
Adult, Humans, Positive-Pressure Respiration, Respiratory Mechanics, Work of Breathing
Abstract

Background: In clinical practice, patients have different inspiratory behaviors during noninvasive pressure support ventilation (PSV): some breathe quietly, others actively help PSV by an additional effort, and others even resist the inspiratory pressure of PSV., Objective: What is the influence of patient collaboration (inspiratory behavior) on the efficiency of PSV?, Methods: We ventilated 10 normal subjects with nasal PSV (inspiratory/expiratory: 10/0 and 15/5 cm H(2)O) and measured their flow and volume with a pneumotachograph and their esophageal and gastric pressures during three different respiratory voluntary behaviors: relaxed inspiration, active inspiratory work and resisted inspiration., Results: When compared with relaxed inspiration with 10/0 cm H(2)O PSV: (1) an active inspiratory effort increased tidal volume (from 789 +/- 356 to 1,046 +/- 586 ml; p = 0.006), minute ventilation (from 10.40 +/- 4.45 to 15.77 +/- 7.69 liters/min; p < 0.001), transdiaphragmatic work per cycle (from 0.55 +/- 0.33 to 1.72 +/- 1.40 J/cycle; p = 0.002) and inspiratory work per cycle (from 0.14 +/- 0.20 to 1.26 +/- 1.01 J/cycle; p = 0.003); intrinsic positive end-expiratory pressure (PEEP(i)) increased from 1.23 +/- 1.02 to 3.17 +/- 2.30 cm H(2)O; p = 0.002); (2) a resisted inspiration decreased tidal volume (to 457 +/- 230 ml; p = 0.007), minute ventilation (to 6.93 +/- 3.04 liters/min; p = 0.028) along with a decrease in transdiaphragmatic work but no change in PEEP(i). Data obtained during a bilevel PSV of 15/5 cm H(2)O were similar to those obtained with the 10/0 cm H(2)O settings., Conclusions: Active inspiratory effort increases ventilation during PSV at the expense of an increased breathing work and PEEP(i). Resisted inspiration inversely decreases inspiratory work and ventilation with no air trapping. These differences between inspiratory behaviors could affect the expected beneficial effects of PSV in acutely ill patients., (Copyright 2002 S. Karger AG, Basel)

Published
2002
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