A
Andrea Perino
Researcher at Martin Luther University of Halle-Wittenberg
Publications - 8
Citations - 568
Andrea Perino is an academic researcher from Martin Luther University of Halle-Wittenberg. The author has contributed to research in topics: Common Agricultural Policy & Evidence-based policy. The author has an hindex of 4, co-authored 8 publications receiving 285 citations.
Papers
More filters
Journal ArticleDOI
Rewilding complex ecosystems.
Andrea Perino,Henrique M. Pereira,Henrique M. Pereira,Laetitia M. Navarro,Néstor Fernández,James M. Bullock,Silvia Ceaușu,Ainara Cortés-Avizanda,Ainara Cortés-Avizanda,Roel van Klink,Tobias Kuemmerle,Angela Lomba,Guy Pe'er,Tobias Plieninger,Tobias Plieninger,José María Rey Benayas,Christopher J. Sandom,Jens-Christian Svenning,Helen C. Wheeler +18 more
TL;DR: A framework for rewilding actions that can serve as a guideline for researchers and managers and aims to promote beneficial interactions between society and nature, and identifies trophic complexity, stochastic disturbances, and dispersal as three critical components of natural ecosystem dynamics.
Journal ArticleDOI
Action needed for the EU Common Agricultural Policy to address sustainability challenges.
Guy Pe'er,Guy Pe'er,Aletta Bonn,Aletta Bonn,Helge Bruelheide,Petra Dieker,Nico Eisenhauer,Peter H. Feindt,Gregor Hagedorn,Bernd Hansjürgens,Bernd Hansjürgens,Irina Herzon,Ângela Lomba,Elisabeth Marquard,Francisco Moreira,Francisco Moreira,Heike Nitsch,Rainer Oppermann,Andrea Perino,Norbert Röder,Christian Schleyer,Stefan Schindler,Stefan Schindler,Christine Wolf,Yves Zinngrebe,Yves Zinngrebe,Sebastian Lakner +26 more
TL;DR: Concerned about current attempts to dilute the environmental ambition of the future CAP, and the lack of concrete proposals for improving the CAP in the draft of the European Green Deal, it is called on the European Parliament, Council and Commission to adopt 10 urgent action points for delivering sustainable food production, biodiversity conservation and climate mitigation.
Journal ArticleDOI
Measuring rewilding progress
Aurora Torres,Néstor Fernández,Sophus O. S. E. zu Ermgassen,Wouter Helmer,Eloy Revilla,Deli Saavedra,Andrea Perino,Anne Mimet,José María Rey-Benayas,Nuria Selva,Frans Schepers,Jens-Christian Svenning,Henrique M. Pereira +12 more
TL;DR: A novel approach for measuring and monitoring progress in re wilding that focuses on the ecological attributes of rewilding and devised a bi-dimensional framework for assessing the recovery of processes and their natural dynamics through increasing ecological integrity of ecosystems.
Book ChapterDOI
Large-Scale Active Learning with Approximations of Expected Model Output Changes
TL;DR: An active learning and discovery approach which can deal with huge collections of unlabeled real-world data based on the expected model output change principle and overcomes previous scalability issues is presented.
Journal ArticleDOI
Biodiversity post-2020: Closing the gap between global targets and national-level implementation
Andrea Perino,Henrique M. Pereira,Henrique M. Pereira,Maria Felipe-Lucia,HyeJin Kim,Hjalmar S. Kühl,Melissa R. Marselle,Jasper N. Meya,Carsten Meyer,Carsten Meyer,Laetitia M. Navarro,Roel van Klink,Georg Albert,Christopher D. Barratt,Helge Bruelheide,Yun Cao,Ariane Chamoin,Marianne Darbi,Maria Dornelas,Nico Eisenhauer,Franz Essl,Nina Farwig,Johannes Forster,Jörg Freyhof,Jonas Geschke,Felix Gottschall,Carlos A. Guerra,Peter Haase,Peter Haase,Thomas Hickler,Ute Jacob,Thomas Kastner,Lotte Korell,Lotte Korell,Ingolf Kühn,Ingolf Kühn,Gerlind U. C. Lehmann,Bernd Lenzner,Alexandra Marques,Elena Motivans Švara,Elena Motivans Švara,Laura C. Quintero,Andrea Pacheco,Alexander Popp,Julia Rouet-Leduc,Florian Schnabel,Julia Siebert,Ingmar R. Staude,Stefan Trogisch,Vid Švara,Vid Švara,Jens-Christian Svenning,Guy Pe'er,Kristina Raab,Demetra Rakosy,Marie Vandewalle,Alexandra S. Werner,Christian Wirth,Christian Wirth,Haigen Xu,Dandan Yu,Yves Zinngrebe,Yves Zinngrebe,Aletta Bonn +63 more
TL;DR: In this paper, the authors present a workshop based on a workshop funded by iDiv via the German Research Foundation (DFG FZT 118 and 202548816) with the aim of finding a solution to the problem of data augmentation.