Biodiversity in small-scale tropical agroforests: a review of species richness and abundance shifts and the factors influencing them

Autor: SCALES, BEN R., MARSDEN, STUART J.

Publikováno v: Environmental Conservation, 2008 Jun 01. 35(2), 160-172.

Externí odkaz: https://www.jstor.org/stable/44521951

Binocular mirror-symmetric microsaccadic sampling enables Drosophila hyperacute 3D vision.

Autor: Kemppainen J; Department of Biomedical Science, University of Sheffield, Sheffield S10 2TN, United Kingdom., Scales B; Department of Biomedical Science, University of Sheffield, Sheffield S10 2TN, United Kingdom., Razban Haghighi K; Department of Biomedical Science, University of Sheffield, Sheffield S10 2TN, United Kingdom., Takalo J; Department of Biomedical Science, University of Sheffield, Sheffield S10 2TN, United Kingdom., Mansour N; Department of Biomedical Science, University of Sheffield, Sheffield S10 2TN, United Kingdom., McManus J; Department of Biomedical Science, University of Sheffield, Sheffield S10 2TN, United Kingdom., Leko G; Department of Image Processing and Computer Graphics, University of Szeged, H-6701 Szeged, Hungary., Saari P; Nano and Molecular Systems, University of Oulu, Oulu FIN-90041, Finland., Hurcomb J; Department of Biomedical Science, University of Sheffield, Sheffield S10 2TN, United Kingdom., Antohi A; Department of Biomedical Science, University of Sheffield, Sheffield S10 2TN, United Kingdom., Suuronen JP; European Synchrotron Radiation Facility, 38043 Grenoble, France.; Xploraytion GmbH, D-10625, Berlin, Germany., Blanchard F; Department of Biomedical Science, University of Sheffield, Sheffield S10 2TN, United Kingdom., Hardie RC; Department of Physiology Development and Neuroscience, Cambridge University, Cambridge CB2 3EG, United Kingdom., Song Z; Department of Biomedical Science, University of Sheffield, Sheffield S10 2TN, United Kingdom.; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China.; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Fudan University, Shanghai 200433, China.; Ministry of Education Frontiers Center for Brain Science, Fudan University, Shanghai 200433, China., Hampton M; University of Sheffield Advanced Manufacturing Research Centre, Sheffield S9 1ZA, United Kingdom., Eckermann M; Institut für Röntgenphysik, Georg August Universität Göttingen, 37077 Göttingen, Germany., Westermeier F; Deutsches Elektronen-Synchrotron, 22607 Hamburg, Germany., Frohn J; Institut für Röntgenphysik, Georg August Universität Göttingen, 37077 Göttingen, Germany., Hoekstra H; Faculty of Electrical Engineering, Mathematics, and Computer Science, University of Twente, UT7522 NB Enschede, The Netherlands., Lee CH; Institute of Cellular and Organismic Biology, Academia Sinica, Taipei 11529, Taiwan., Huttula M; Nano and Molecular Systems, University of Oulu, Oulu FIN-90041, Finland., Mokso R; MAX IV Laboratory, Lund University, SE-221 00 Lund, Sweden., Juusola M; Department of Biomedical Science, University of Sheffield, Sheffield S10 2TN, United Kingdom.; National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.

Publikováno v: Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2022 Mar 22; Vol. 119 (12), pp. e2109717119. Date of Electronic Publication: 2022 Mar 17.