@article{DornelasAntaoMoyesetal.2018, author = {Dornelas, Maria and Ant{\~a}o, Laura H. and Moyes, Faye and Bates, Amanda E. and Magurran, Anne E. and Adam, Dušan and Akhmetzhanova, Asem A. and Appeltans, Ward and Arcos, Jos{\´e} Manuel and Arnold, Haley and Ayyappan, Narayanan and Badihi, Gal and Baird, Andrew H. and Barbosa, Miguel and Barreto, Tiago Egydio and B{\"a}ssler, Claus and Bellgrove, Alecia and Belmaker, Jonathan and Benedetti-Cecchi, Lisandro and Bett, Brian J. and Bjorkman, Anne D. and Błażewicz, Magdalena and Blowes, Shane A. and Bloch, Christopher P. Bloch and Bonebrake, Timothy C. and Boyd, Susan and Bradford, Matt and Brooks, Andrew J. and Brown, James H. and Bruelheide, Helge and Budy, Phaedra and Carvalho, Fernando and Casta{\~n}eda-Moya, Edward and Chen, Chaolun Allen and Chamblee, John F. and Chase, Tory J. and Siegwart Collier, Laura and Collinge, Sharon K. and Condit, Richard and Cooper, Elisabeth J. and Cornelissen, J. Hans C. and Cotano, Unai and Crow, Shannan Kyle and Damasceno, Gabriella and Davies, Claire H. and Davis, Robert A. and Day, Frank P. and Degraer, Steven and Doherty, Tim S. and Dunn, Timothy E. and Durigan, Giselda and Duffy, J. Emmett and Edelist, Dor and Edgar, Graham J. and Elahi, Robin and Elmendorf, Sarah C. and Enemar, Anders and Ernest, S. K. Morgan and Escribano, Rub{\´e}n and Estiarte, Marc and Evans, Brian S. and Fan, Tung-Yung and Turini Farah, Fabiano and Loureiro Fernandes, Luiz and Farneda, F{\´a}bio Z. and Fidelis, Alessandra and Fitt, Robert and Fosaa, Anna Maria and Franco, Geraldo Antonio Daher Correa and Frank, Grace E. and Fraser, William R. and Garc{\´i}a, Hernando and Cazzolla Gatti, Roberto and Givan, Or and Gorgone-Barbosa, Elizabeth and Gould, William A. and Gries, Corinna and Grossman, Gary D. and Gutierr{\´e}z, Julio R. and Hale, Stephen and Harmon, Mark E. and Harte, John and Haskins, Gary and Henshaw, Donald L. and Hermanutz, Luise and Hidalgo, Pamela and Higuchi, Pedro and Hoey, Andrew and Van Hoey, Gert and Hofgaard, Annika and Holeck, Kristen and Hollister, Robert D. and Holmes, Richard and Hoogenboom, Mia and Hsieh, Chih-hao and Hubbell, Stephen P. and Huettmann, Falk and Huffard, Christine L. and Hurlbert, Allen H. and Ivanauskas, Nat{\´a}lia Macedo and Jan{\´i}k, David and Jandt, Ute and Jażdżewska, Anna and Johannessen, Tore and Johnstone, Jill and Jones, Julia and Jones, Faith A. M. and Kang, Jungwon and Kartawijaya, Tasrif and Keeley, Erin C. and Kelt, Douglas A. and Kinnear, Rebecca and Klanderud, Kari and Knutsen, Halvor and Koenig, Christopher C. and Kortz, Alessandra R. and Kr{\´a}l, Kamil and Kuhnz, Linda A. and Kuo, Chao-Yang and Kushner, David J. and Laguionie-Marchais, Claire and Lancaster, Lesley T. and Lee, Cheol Min and Lefcheck, Jonathan S. and L{\´e}vesque, Esther and Lightfoot, David and Lloret, Francisco and Lloyd, John D. and L{\´o}pez-Baucells, Adri{\`a} and Louzao, Maite and Madin, Joshua S. and Magn{\´u}sson, Borgþ{\´o}r and Malamud, Shahar and Matthews, Iain and McFarland, Kent P. and McGill, Brian and McKnight, Diane and McLarney, William O. and Meador, Jason and Meserve, Peter L. and Metcalfe, Daniel J. and Meyer, Christoph F. J. and Michelsen, Anders and Milchakova, Nataliya and Moens, Tom and Moland, Even and Moore, Jon and Moreira, Carolina Mathias and M{\"u}ller, J{\"o}rg and Murphy, Grace and Myers-Smith, Isla H. and Myster, Randall W. and Naumov, Andrew and Neat, Francis and Nelson, James A. and Nelson, Michael Paul and Newton, Stephen F. and Norden, Natalia and Oliver, Jeffrey C. and Olsen, Esben M. and Onipchenko, Vladimir G. and Pabis, Krzysztof and Pabst, Robert J. and Paquette, Alain and Pardede, Sinta and Paterson, David M. and P{\´e}lissier, Rapha{\"e}l and Pe{\~n}uelas, Josep and P{\´e}rez-Matus, Alejandro and Pizarro, Oscar and Pomati, Francesco and Post, Eric and Prins, Herbert H. T. and Priscu, John C. and Provoost, Pieter and Prudic, Kathleen L. and Pulliainen, Erkki and Ramesh, B. R. and Ramos, Olivia Mendivil and Rassweiler, Andrew and Rebelo, Jose Eduardo and Reed, Daniel C. and Reich, Peter B. and Remillard, Suzanne M. and Richardson, Anthony J. and Richardson, J. Paul and van Rijn, Itai and Rocha, Ricardo and Rivera-Monroy, Victor H. and Rixen, Christian and Robinson, Kevin P. and Rodrigues, Ricardo Ribeiro and de Cerqueira Rossa-Feres, Denise and Rudstam, Lars and Ruhl, Henry and Ruz, Catalina S. and Sampaio, Erica M. and Rybicki, Nancy and Rypel, Andrew and Sal, Sofia and Salgado, Beatriz and Santos, Flavio A. M. and Savassi-Coutinho, Ana Paula and Scanga, Sara and Schmidt, Jochen and Schooley, Robert and Setiawan, Fakhrizal and Shao, Kwang-Tsao and Shaver, Gaius R. and Sherman, Sally and Sherry, Thomas W. and Siciński, Jacek and Sievers, Caya and da Silva, Ana Carolina and da Silva, Fernando Rodrigues and Silveira, Fabio L. and Slingsby, Jasper and Smart, Tracey and Snell, Sara J. and Soudzilovskaia, Nadejda A. and Souza, Gabriel B. G. and Souza, Flaviana Maluf and Souza, Vin{\´i}cius Castro and Stallings, Christopher D. and Stanforth, Rowan and Stanley, Emily H. and Sterza, Jos{\´e} Mauro and Stevens, Maarten and Stuart-Smith, Rick and Suarez, Yzel Rondon and Supp, Sarah and Tamashiro, Jorge Yoshio and Tarigan, Sukmaraharja and Thiede, Gary P. and Thorn, Simon and Tolvanen, Anne and Toniato, Maria Teresa Zugliani and Totland, {\O}rjan and Twilley, Robert R. and Vaitkus, Gediminas and Valdivia, Nelson and Vallejo, Martha Isabel and Valone, Thomas J. and Van Colen, Carl and Vanaverbeke, Jan and Venturoli, Fabio and Verheye, Hans M. and Vianna, Marcelo and Vieira, Rui P. and Vrška, Tom{\´a}š and Vu, Con Quang and Vu, Lien Van and Waide, Robert B. and Waldock, Conor and Watts, Dave and Webb, Sara and Wesołowski, Tomasz and White, Ethan P. and Widdicombe, Claire E. and Wilgers, Dustin and Williams, Richard and Williams, Stefan B. and Williamson, Mark and Willig, Michael R. and Willis, Trevor J. and Wipf, Sonja and Woods, Kerry D. and Woehler, Eric J. and Zawada, Kyle and Zettler, Michael L.}, title = {BioTIME: A database of biodiversity time series for the Anthropocene}, series = {Global Ecology and Biogeography}, volume = {27}, journal = {Global Ecology and Biogeography}, doi = {10.1111/geb.12729}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-222846}, pages = {760-786}, year = {2018}, 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.}, language = {en} } @article{ThomasMyers‐SmithBjorkmanetal.2019, author = {Thomas, H. J. D. and Myers-Smith, I. H. and Bjorkman, A. D. and Elmendorf, S. C. and Blok, D. and Cornelissen, J. H. C. and Forbes, B. C. and Hollister, R. D. and Normand, S. and Prev{\´e}y, J. S. and Rixen, C. and Schaepman-Strub, G. and Wilmking, M. and Wipf, S. and Cornwell, W. K. and Kattge, J. and Goetz, S. J. and Guay, K. C. and Alatalo, J. M. and Anadon-Rosell, A. and Angers-Blondin, S. and Berner, L. T. and Bj{\"o}rk, R. G. and Buchwal, A. and Buras, A. and Carbognani, M. and Christie, K. and Siegwart Collier, L. and Cooper, E. J. and Eskelinen, A. and Frei, E. R. and Grau, O. and Grogan, P. and Hallinger, M. and Heijmans, M. M. P. D. and Hermanutz, L. and Hudson, J. M. G. and H{\"u}lber, K. and Iturrate-Garcia, M. and Iversen, C. M. and Jaroszynska, F. and Johnstone, J. F. and Kaarlej{\"a}rvi, E. and Kulonen, A. and Lamarque, L. J. and L{\´e}vesque, E. and Little, C. J. and Michelsen, A. and Milbau, A. and Nabe-Nielsen, J. and Nielsen, S. S. and Ninot, J. M. and Oberbauer, S. F. and Olofsson, J. and Onipchenko, V. G. and Petraglia, A. and Rumpf, S. B. and Semenchuk, P. R. and Soudzilovskaia, N. A. and Spasojevic, M. J. and Speed, J. D. M. and Tape, K. D. and te Beest, M. and Tomaselli, M. and Trant, A. and Treier, U. A. and Venn, S. and Vowles, T. and Weijers, S. and Zamin, T. and Atkin, O. K. and Bahn, M. and Blonder, B. and Campetella, G. and Cerabolini, B. E. L. and Chapin III, F. S. and Dainese, M. and de Vries, F. T. and D{\´i}az, S. and Green, W. and Jackson, R. B. and Manning, P. and Niinemets, {\"U}. and Ozinga, W. A. and Pe{\~n}uelas, J. and Reich, P. B. and Schamp, B. and Sheremetev, S. and van Bodegom, P. M.}, title = {Traditional plant functional groups explain variation in economic but not size-related traits across the tundra biome}, series = {Global Ecology and Biogeography}, volume = {28}, journal = {Global Ecology and Biogeography}, doi = {10.1111/geb.12783}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-241310}, pages = {78-95}, year = {2019}, abstract = {Aim Plant functional groups are widely used in community ecology and earth system modelling to describe trait variation within and across plant communities. However, this approach rests on the assumption that functional groups explain a large proportion of trait variation among species. We test whether four commonly used plant functional groups represent variation in six ecologically important plant traits. Location Tundra biome. Time period Data collected between 1964 and 2016. Major taxa studied 295 tundra vascular plant species. Methods We compiled a database of six plant traits (plant height, leaf area, specific leaf area, leaf dry matter content, leaf nitrogen, seed mass) for tundra species. We examined the variation in species-level trait expression explained by four traditional functional groups (evergreen shrubs, deciduous shrubs, graminoids, forbs), and whether variation explained was dependent upon the traits included in analysis. We further compared the explanatory power and species composition of functional groups to alternative classifications generated using post hoc clustering of species-level traits. Results Traditional functional groups explained significant differences in trait expression, particularly amongst traits associated with resource economics, which were consistent across sites and at the biome scale. However, functional groups explained 19\% of overall trait variation and poorly represented differences in traits associated with plant size. Post hoc classification of species did not correspond well with traditional functional groups, and explained twice as much variation in species-level trait expression. Main conclusions Traditional functional groups only coarsely represent variation in well-measured traits within tundra plant communities, and better explain resource economic traits than size-related traits. We recommend caution when using functional group approaches to predict tundra vegetation change, or ecosystem functions relating to plant size, such as albedo or carbon storage. We argue that alternative classifications or direct use of specific plant traits could provide new insights for ecological prediction and modelling.}, language = {en} } @article{RosenstockPerkovicAlexanderetal.2018, author = {Rosenstock, Julio and Perkovic, Vlado and Alexander, John H. and Cooper, Mark E. and Marx, Nikolaus and Pencina, Michael J. and Toto, Robert D. and Wanner, Christoph and Zinman, Bernard and Baanstra, David and Pfarr, Egon and Mattheus, Michaela and Broedl, Uli C. and Woerle, Hans-J{\"u}rgen and George, Jyothis T. and von Eynatten, Maximilian and McGuire, Darren K.}, title = {Rationale, design, and baseline characteristics of the CArdiovascular safety and Renal Microvascular outcomE study with LINAgliptin - (CARMELINA®): a randomized, double-blind, placebo-controlled clinical trial in patients with type 2 diabetes and high cardio-renal risk}, series = {Cardiovascular Diabetology}, volume = {17}, journal = {Cardiovascular Diabetology}, doi = {10.1186/s12933-018-0682-3}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-226996}, pages = {39, 1-15}, year = {2018}, abstract = {Background: Cardiovascular (CV) outcome trials in type 2 diabetes (T2D) have underrepresented patients with chronic kidney disease (CKD), leading to uncertainty regarding their kidney efficacy and safety. The CARMELINA (R) trial aims to evaluate the effects of linagliptin, a DPP-4 inhibitor, on both CV and kidney outcomes in a study population enriched for cardio-renal risk. Methods: CARMELINA (R) is a randomized, double-blind, placebo-controlled clinical trial conducted in 27 countries in T2D patients at high risk of CV and/or kidney events. Participants with evidence of CKD with or without CV disease and HbA1c 6.5-10.0\% (48-86 mmol/mol) were randomized 1:1 to receive linagliptin once daily or matching placebo, added to standard of care adjusted according to local guidelines. The primary outcome is time to first occurrence of CV death, non-fatal myocardial infarction, or non-fatal stroke. The key secondary outcome is a composite of time to first sustained occurrence of end-stage kidney disease, >= 40\% decrease in estimated glomerular filtration rate (eGFR) from baseline, or renal death. CV and kidney events are prospectively adjudicated by independent, blinded clinical event committees. CARMELINA (R) was designed to continue until at least 611 participants had confirmed primary outcome events. Assuming a hazard ratio of 1.0, this provides 90\% power to demonstrate non-inferiority of linagliptin versus placebo within the pre-specified non-inferiority margin of 1.3 at a one-sided a-level of 2.5\%. If non-inferiority of linagliptin for the primary outcome is demonstrated, then its superiority for both the primary outcome and the key secondary outcome will be investigated with a sequentially rejective multiple test procedure. Results: Between July 2013 and August 2016, 6980 patients were randomized and took >= 1 dose of study drug (40.6, 33.1, 16.9, and 9.4\% from Europe, South America, North America, and Asia, respectively). At baseline, mean +/- SD age was 65.8 +/- 9.1 years, HbA1c 7.9 +/- 1.0\%, BMI 31.3 +/- 5.3 kg/m(2), and eGFR 55 +/- 25 mL/min/1.73 m(2). A total of 5148 patients (73.8\%) had prevalent kidney disease (defined as eGFR < 60 mL/min/1.73 m(2) or macroalbuminuria [albumin-to-creatinine ratio > 300 mg/g]) and 3990 patients (57.2\%) had established CV disease with increased albuminuria; these characteristics were not mutually exclusive. Microalbuminuria (n = 2896 [41.5\%]) and macroalbuminuria (n = 2691 [38.6\%]) were common. Conclusions: CARMELINA (R) will add important information regarding the CV and kidney disease clinical profile of linagliptin by including an understudied, vulnerable cohort of patients with T2D at highest cardio-renal risk.}, language = {en} }