LEADER 05773cam a2200433Mi 4500 001 991003951479707536 006 m o d 007 cr |n|---aucuu 008 210706s2018 sz ob 000 0 eng d 020 $a9783319599281$q(electronic bk.) 020 $a3319599283$q(electronic bk.) 020 $z9783319599267 020 $z3319599267 024 7 $a10.1007/978-3-319-59928-1$2doi 035 $ab14414065-39ule_inst 040 $aBibl. Dip.le Aggr. DiSTeBA - Sez. Biologia$beng 082 04$a577.0113$223 245 00$aEcological informatics$h[e-book] :$bdata management and knowledge discovery /$cFriedrich Recknagel, William K. Michener, editors 250 $a3rd ed. 264 1$aCham :$bSpringer,$c[2018] 264 4$c©2018 300 $a1 online resource (474 pages) 336 $atext$btxt$2rdacontent 337 $acomputer$bc$2rdamedia 338 $aonline resource$bcr$2rdacarrier 504 $aIncludes bibliographical references 505 00$gPart 1.$tIntroduction --$tEcological informatics : an introduction /$rFriedrich Recknagel ; William K. Michener --$gPart 2.$tManaging ecological data --$tProject data management planning /$rWilliam K. Michener --$tScientific databases for environmental research /$rJohn H. Porter --$tQuality assurance and quality control (QA/QC) /$rWilliam K. Michener --$tCreating and managing metadata /$rWilliam K. Michener --$tPreserve : protecting data for long-term use /$rRobert B. Cook ; Yaxing Wei ; Leslie A. Hook ; Suresh K.S. Vannan ; John J. McNelis --$tData discovery /$rWilliam K. Michener --$tData integration : principles and practice /$rMark Schildhauer --$gPart 3.$tAnalysis, synthesis and forecasting of ecological data --$tInferential modelling of population dynamics /$rFriedrich Recknagel ; Dragi Kocev ; Hongqing Cao ; Christina Castelo Branco ; Ricardo Minoti ; Saso Dzeroski --$tProcess-based modeling of nutrient cycles and food-web dynamics /$rGeorge Arhonditsis ; Friedrich Recknagel ; Klaus Joehnk --$tUncertainty analysis by Bayesian inference /$rGeorge Arhonditsis ; Dong-Kyun Kim ; Noreen Kelly ; Alex Neumann ; Aisha Javed --$tMultivariate data analysis by means of self-organizing maps /$rYoung-Seuk Park ; Tae-Soo Chon ; Mi-Jung Bae ; Dong-Hwan Kim ; Sovan Lek --$tGIS-based data synthesis and visualization /$rDuccio Rocchini ; Carol X. Garzon-Lopez ; A. Marcia Barbosa ; Luca Delucchi ; Jonathan E. Olandi ; Matteo Marcantonio ; Lucy Bastin ; Martin Wegmann 505 80$gPart 4.$tCommunicating and informing decisions --$tCommunicating and disseminating research findings /$rAmber E. Budden ; William K. Michener --$tOperational forecasting in ecology by inferential models and remote sensing /$rFriedrich Recknagel ; Philip Orr ; Annelie Swanepoel ; Klaus Joehnk ; Janet Anstee --$tStrategic forecasting in ecology by inferential and process-based models /$rFriedrich Recknagel ; George Arhonditsis ; Dong-Kyun Kim ; Hong Hanh Nguyen --$gPart 5.$tCase studies --$tBiodiversity informatics /$rCynthia S. Parr ; Anne E. Thessen --$tLessons from bioinvasion of Lake Champlain, U.S.A. /$rTimothy B. Mihuc ; Friedrich Recknagel --$tThe Global Lake Ecological Observatory Network /$rPaul C. Hanson ; Kathleen C. Weathers ; Hilary A. Dugan ; Corinna Gries --$tLong-term ecological research in the Nakdong River : application of ecological informatics to harmful algal blooms /$rDong-Gyun Hong ; Kwang-Seuk Jeong ; Dong-Kyun Kim ; Gea-Jae Joo --$tFrom ecological informatics to the generation of ecological knowledge : long-term research in the English Lake District /$rS.C. Maberly ; D. Ciar ; J.A. Elliott ; I.D. Jones ; C.S. Reynolds ; S.J. Thackeray ; I.J. Winfield 520 $a"This book introduces readers to ecological informatics as an emerging discipline that takes into account the data-intensive nature of ecology, the valuable information to be found in ecological data, and the need to communicate results and inform decisions, including those related to research, conservation and resource management. At its core, ecological informatics combines developments in information technology and ecological theory with applications that facilitate ecological research and the dissemination of results to scientists and the public. Its conceptual framework links ecological entities (genomes, organisms, populations, communities, ecosystems, landscapes) with data management, analysis and synthesis, and communicates new findings to inform decisions by following the course of a loop. In comparison to the 2nd edition published in 2006, the 3rd edition of Ecological Informatics has been completely restructured on the basis of the generic conceptual f ramework provided in Figure 1. It reflects the significant advances in data management, analysis and synthesis that have been made over the past 10 years, including new remote and in situ sensing techniques, the emergence of ecological and environmental observatories, novel evolutionary computations for knowledge discovery and forecasting, and new approaches to communicating results and informing decisions"--Provided by publisher 650 0$aEcology$xComputer simulation 700 1 $aRecknagel, Friedrich,$d1950-$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0821722 700 1 $aMichener, William K. 776 08$iPrint version:$aRecknagel, Friedrich.$tEcological Informatics : Data Management and Knowledge Discovery.$dCham : Springer International Publishing, ©2017$z9783319599267 856 40$3SpringerLink$zConnect to resource$uhttp://link.springer.com/10.1007/978-3-319-59928-1 907 $a.b14414065$b03-03-22$c06-07-21 912 $a991003951479707536 996 $aEcological informatics$91829907 997 $aUNISALENTO 998 $ale003$b06-07-21$cm$d@ $e-$feng$gsz $h0$i0