@article{HudsonNewboldContuetal.2014,
  author    = {Hudson, Lawrence N. and Newbold, Tim and Contu, Sara and Hill, Samantha L. L. and Lysenko, Igor and De Palma, Adriana and Phillips, Helen R. P. and Senior, Rebecca A. and Bennett, Dominic J. and Booth, Hollie and Choimes, Argyrios and Correia, David L. P. and Day, Julie and Echeverria-Londono, Susy and Garon, Morgan and Harrison, Michelle L. K. and Ingram, Daniel J. and Jung, Martin and Kemp, Victoria and Kirkpatrick, Lucinda and Martin, Callum D. and Pan, Yuan and White, Hannah J. and Aben, Job and Abrahamczyk, Stefan and Adum, Gilbert B. and Aguilar-Barquero, Virginia and Aizen, Marcelo and Ancrenaz, Marc and Arbelaez-Cortes, Enrique and Armbrecht, Inge and Azhar, Badrul and Azpiroz, Adrian B. and Baeten, Lander and B{\´a}ldi, Andr{\´a}s and Banks, John E. and Barlow, Jos and Bat{\´a}ry, P{\´e}ter and Bates, Adam J. and Bayne, Erin M. and Beja, Pedro and Berg, Ake and Berry, Nicholas J. and Bicknell, Jake E. and Bihn, Jochen H. and B{\"o}hning-Gaese, Katrin and Boekhout, Teun and Boutin, Celine and Bouyer, Jeremy and Brearley, Francis Q. and Brito, Isabel and Brunet, J{\"o}rg and Buczkowski, Grzegorz and Buscardo, Erika and Cabra-Garcia, Jimmy and Calvino-Cancela, Maria and Cameron, Sydney A. and Cancello, Eliana M. and Carrijo, Tiago F. and Carvalho, Anelena L. and Castro, Helena and Castro-Luna, Alejandro A. and Cerda, Rolando and Cerezo, Alexis and Chauvat, Matthieu and Clarke, Frank M. and Cleary, Daniel F. R. and Connop, Stuart P. and D'Aniello, Biagio and da Silva, Pedro Giovani and Darvill, Ben and Dauber, Jens and Dejean, Alain and Diek{\"o}tter, Tim and Dominguez-Haydar, Yamileth and Dormann, Carsten F. and Dumont, Bertrand and Dures, Simon G. and Dynesius, Mats and Edenius, Lars and Elek, Zolt{\´a}n and Entling, Martin H. and Farwig, Nina and Fayle, Tom M. and Felicioli, Antonio and Felton, Annika M. and Ficetola, Gentile F. and Filgueiras, Bruno K. C. and Fonte, Steve J. and Fraser, Lauchlan H. and Fukuda, Daisuke and Furlani, Dario and Ganzhorn, J{\"o}rg U. and Garden, Jenni G. and Gheler-Costa, Carla and Giordani, Paolo and Giordano, Simonetta and Gottschalk, Marco S. and Goulson, Dave and Gove, Aaron D. and Grogan, James and Hanley, Mick E. and Hanson, Thor and Hashim, Nor R. and Hawes, Joseph E. and H{\´e}bert, Christian and Helden, Alvin J. and Henden, John-Andr{\´e} and Hern{\´a}ndez, Lionel and Herzog, Felix and Higuera-Diaz, Diego and Hilje, Branko and Horgan, Finbarr G. and Horv{\´a}th, Roland and Hylander, Kristoffer and Horv{\´a}th, Roland and Isaacs-Cubides, Paola and Ishitani, Mashiro and Jacobs, Carmen T. and Jaramillo, Victor J. and Jauker, Birgit and Jonsell, Matts and Jung, Thomas S. and Kapoor, Vena and Kati, Vassiliki and Katovai, Eric and Kessler, Michael and Knop, Eva and Kolb, Annette and K{\"o}r{\"o}si, {\`A}d{\´a}m and Lachat, Thibault and Lantschner, Victoria and Le F{\´e}on, Violette and LeBuhn, Gretchen and L{\´e}gar{\´e}, Jean-Philippe and Letcher, Susan G. and Littlewood, Nick A. and L{\´o}pez-Quintero, Carlos A. and Louhaichi, Mounir and L{\"o}vei, Gabor L. and Lucas-Borja, Manuel Esteban and Luja, Victor H. and Maeto, Kaoru and Magura, Tibor and Mallari, Neil Aldrin and Marin-Spiotta, Erika and Marhall, E. J. P. and Mart{\´i}nez, Eliana and Mayfield, Margaret M. and Mikusinski, Gregorz and Milder, Jeffery C. and Miller, James R. and Morales, Carolina L. and Muchane, Mary N. and Muchane, Muchai and Naidoo, Robin and Nakamura, Akihiro and Naoe, Shoji and Nates-Parra, Guiomar and Navarerete Gutierrez, Dario A. and Neuschulz, Eike L. and Noreika, Norbertas and Norfolk, Olivia and Noriega, Jorge Ari and N{\"o}ske, Nicole M. and O'Dea, Niall and Oduro, William and Ofori-Boateng, Caleb and Oke, Chris O. and Osgathorpe, Lynne M. and Paritsis, Juan and Parrah, Alejandro and Pelegrin, Nicol{\´a}s and Peres, Carlos A. and Persson, Anna S. and Petanidou, Theodora and Phalan, Ben and Philips, T. Keith and Poveda, Katja and Power, Eileen F. and Presley, Steven J. and Proen{\c{c}}a, V{\^a}nia and Quaranta, Marino and Quintero, Carolina and Redpath-Downing, Nicola A. and Reid, J. Leighton and Reis, Yana T. and Ribeiro, Danilo B. and Richardson, Barbara A. and Richardson, Michael J. and Robles, Carolina A. and R{\"o}mbke, J{\"o}rg and Romero-Duque, Luz Piedad and Rosselli, Loreta and Rossiter, Stephen J. and Roulston, T'ai H. and Rousseau, Laurent and Sadler, Jonathan P. and S{\´a}fi{\´a}n, Szbolcs and Salda{\~n}a-V{\´a}squez, Romeo A. and Samneg{\aa}rd, Ulrika and Sch{\"u}epp, Christof and Schweiger, Oliver and Sedlock, Jodi L. and Shahabuddin, Ghazala and Sheil, Douglas and Silva, Fernando A. B. and Slade, Eleanor and Smith-Pardo, Allan H. and Sodhi, Navjot S. and Somarriba, Eduardo J. and Sosa, Ram{\´o}n A. and Stout, Jane C. and Struebig, Matthew J. and Sung, Yik-Hei and Threlfall, Caragh G. and Tonietto, Rebecca and T{\´o}thm{\´e}r{\´e}sz, B{\´e}la and Tscharntke, Teja and Turner, Edgar C. and Tylianakis, Jason M. and Vanbergen, Adam J. and Vassilev, Kiril and Verboven, Hans A. F. and Vergara, Carlos H. and Vergara, Pablo M. and Verhulst, Jort and Walker, Tony R. and Wang, Yanping and Watling, James I. and Wells, Konstans and Williams, Christopher D. and Willig, Michael R. and Woinarski, John C. Z. and Wolf, Jan H. D. and Woodcock, Ben A. and Yu, Douglas W. and Zailsev, Andreys and Collen, Ben and Ewers, Rob M. and Mace, Georgina M. and Purves, Drew W. and Scharlemann, J{\"o}rn P. W. and Pervis, Andy},
  title     = {The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts},
  series = {Ecology and Evolution},
  volume    = {4},
  journal   = {Ecology and Evolution},
  number    = {24},
  doi       = {10.1002/ece3.1303},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-114425},
  pages     = {4701 - 4735},
  year      = {2014},
  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 - ). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.},
  language  = {en}
}
@article{LauschBorgBumbergeretal.2018,
  author    = {Lausch, Angela and Borg, Erik and Bumberger, Jan and Dietrich, Peter and Heurich, Marco and Huth, Andreas and Jung, Andr{\´a}s and Klenke, Reinhard and Knapp, Sonja and Mollenhauer, Hannes and Paasche, Hendrik and Paulheim, Heiko and Pause, Marion and Schweitzer, Christian and Schmulius, Christiane and Settele, Josef and Skidmore, Andrew K. and Wegmann, Martin and Zacharias, Steffen and Kirsten, Toralf and Schaepman, Michael E.},
  title     = {Understanding forest health with remote sensing, part III: requirements for a scalable multi-source forest health monitoring network based on data science approaches},
  series = {Remote Sensing},
  volume    = {10},
  journal   = {Remote Sensing},
  number    = {7},
  issn      = {2072-4292},
  doi       = {10.3390/rs10071120},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-197691},
  pages     = {1120},
  year      = {2018},
  abstract  = {Forest ecosystems fulfill a whole host of ecosystem functions that are essential for life on our planet. However, an unprecedented level of anthropogenic influences is reducing the resilience and stability of our forest ecosystems as well as their ecosystem functions. The relationships between drivers, stress, and ecosystem functions in forest ecosystems are complex, multi-faceted, and often non-linear, and yet forest managers, decision makers, and politicians need to be able to make rapid decisions that are data-driven and based on short and long-term monitoring information, complex modeling, and analysis approaches. A huge number of long-standing and standardized forest health inventory approaches already exist, and are increasingly integrating remote-sensing based monitoring approaches. Unfortunately, these approaches in monitoring, data storage, analysis, prognosis, and assessment still do not satisfy the future requirements of information and digital knowledge processing of the 21st century. Therefore, this paper discusses and presents in detail five sets of requirements, including their relevance, necessity, and the possible solutions that would be necessary for establishing a feasible multi-source forest health monitoring network for the 21st century. Namely, these requirements are: (1) understanding the effects of multiple stressors on forest health; (2) using remote sensing (RS) approaches to monitor forest health; (3) coupling different monitoring approaches; (4) using data science as a bridge between complex and multidimensional big forest health (FH) data; and (5) a future multi-source forest health monitoring network. It became apparent that no existing monitoring approach, technique, model, or platform is sufficient on its own to monitor, model, forecast, or assess forest health and its resilience. In order to advance the development of a multi-source forest health monitoring network, we argue that in order to gain a better understanding of forest health in our complex world, it would be conducive to implement the concepts of data science with the components: (i) digitalization; (ii) standardization with metadata management after the FAIR (Findability, Accessibility, Interoperability, and Reusability) principles; (iii) Semantic Web; (iv) proof, trust, and uncertainties; (v) tools for data science analysis; and (vi) easy tools for scientists, data managers, and stakeholders for decision-making support.},
  language  = {en}
}