Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jaime Ricardo García Márquez"'
Autor:
Daniela Numberger, Luca Zoccarato, Jason Woodhouse, Lars Ganzert, Sascha Sauer, Jaime Ricardo García Márquez, Sami Domisch, Hans-Peter Grossart, Alex D. Greenwood
Publikováno v:
Science of the Total Environment
The science of the total environment, 845:157321
The science of the total environment, 845:157321
Freshwater ecosystems are characterized by complex and highly dynamic microbial communities that are strongly structured by their local environment and biota. Accelerating urbanization and growing city populations detrimentally alter freshwater envir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ce72f678b5431276c84d72fd0b196fd
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5013099
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5013099
Publikováno v:
Land Use Policy. 77:379-391
Colombia’s Andean-Amazonian foothills are among the most pressing deforestation hotspots in the country. Yet, the relationships and dependencies of underlying deforestation drivers are not well understood. For an adequate territorial reorganization
Autor:
Jan Henning Sommer, Georg Zizka, Sié Sylvestre Da, Wilhelm Barthlott, Cyrille Chatelain, Adjima Thiombiano, Marco Schmidt, Jaime Ricardo García Márquez, Stefan Dressler
Publikováno v:
African Journal of Ecology. 56:641-652
Autor:
Jennifer Hauck, Carlo Rondinini, Paula A. Harrison, Lilibeth A. Acosta, K. A. Harhash, Hien T. Ngo, Carsten Nesshöver, Simon Ferrier, Andy Purvis, Ramon Pichs, Asghar M. Fazel, Sylvia I. Karlsson-Vinkhuyzen, Henrique M. Pereira, Isabel M.D. Rosa, HyeJin Kim, Carsten Meyer, Mike Harfoot, Carolyn J. Lundquist, K. N. Ninan, Jaime Ricardo García Márquez, Paul Leadley, Laura Pereira, Eefje den Belder, Laetitia M. Navarro, Rob Alkemade, Rob J. J. Hendriks, Federica Ravera, Shinichiro Fujimori, H. Resit Akçakaya, Grygoriy Kolomytsev, Maria Gabriela Palomo, Nicholas King, Garry D. Peterson, Alexander Popp, Josef Settele, Aafke M. Schipper, Tanya Lazarova, Nadia Sitas, Walter Jetz, Jyothis Sathyapalan, Gladys Hernández, Detlef P. van Vuuren, Marcel Kok, Ralf Seppelt
Publikováno v:
Nature Ecology & Evolution 1 (2017) 10
Nature Ecology & Evolution, 1(10), 1416-1419
Nature Ecology & Evolution, 1(10), 1416-1419
Scenarios are powerful tools toenvision how nature might respondto different pathways of futurehuman development and policy choices1.Most scenarios developed for globalenvironmental assessments have exploredimpacts of society on nature, such asbiodiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c86a5ad82522ee3f0bffcd05009db9f9
https://research.wur.nl/en/publications/multiscale-scenarios-for-nature-futures
https://research.wur.nl/en/publications/multiscale-scenarios-for-nature-futures
Autor:
Jonathan Heubes, Adjima Thiombiano, Georg Zizka, Marco Schmidt, Jaime Ricardo García Márquez, Rüdiger Schaldach, Karen Hahn, Rüdiger Wittig, Benjamin Stuch, Brice Sinsin
Publikováno v:
Journal of Arid Environments. 96:48-54
In West Africa, plant diversity is threatened by future climate and land use change, however, synergistic forecasts for this area are lacking to date. We investigated the impact and the interplay of future (2050) climate and land use change on plant
Autor:
Marco Schmidt, Jan Henning Sommer, Stefan Dressler, Jaime Ricardo García Márquez, Carsten F. Dormann, Sié Sylvestre Da, Cyrille Chatelain, Wilhelm Barthlott, Adjima Thiombiano
Publikováno v:
Biodiversity & Ecology. 4:25-39
The basic information necessary for biogeographical analysis is the geographical location appended to the data contained in biological databases. Reliability of analyses thus crucially depends on the quality of the spatial information available. In t
Autor:
Sven Lautenbach, Boris Schröder, Jaime Ricardo García Márquez, Oliver Purschke, Carsten F. Dormann
Publikováno v:
Ecology. 89:3371-3386
Sophisticated statistical analyses are common in ecological research, particularly in species distribution modeling. The effects of sometimes arbitrary decisions during the modeling procedure on the final outcome are difficult to assess, and to date
Collinearity a review of methods to deal with it and a simulation study evaluating their performance
Autor:
Bernd Gruber, Gudrun Carl, Björn Reineking, Pedro J. Leitão, Jane Elith, Sven Lautenbach, Gabriel Carré, Boris Schröder, Damaris Zurell, Patrick E. Osborne, Carsten M. Buchmann, Colin J. McClean, Andrew K. Skidmore, Jaime Ricardo García Márquez, Sven Bacher, Carsten F. Dormann, Bruno Lafourcade, Tamara Münkemüller
Publikováno v:
Ecography
Ecography, Wiley, 2013, 36 (1), pp.27-46. ⟨10.1111/j.1600-0587.2012.07348.x⟩
Ecography, Wiley, 2013, 36 (1), pp.27-46. ⟨10.1111/j.1600-0587.2012.07348.x⟩
International audience; Collinearity refers to the non independence of predictor variables, usually in a regression-type analysis. It is a common feature of any descriptive ecological data set and can be a problem for parameter estimation because it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b171397e894ebe154d74d7942b1d6d8
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/35378
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/35378