LEADER 02059nam  2200457z- 450 
001 9910261135803321
005 20210211
035   $a(CKB)4100000002484734
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/53699
035   $a(oapen)doab53699
035   $a(EXLCZ)994100000002484734
100   $a20202102d2018      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aModeling the Plankton - Enhancing the Integration of Biological Knowledge and Mechanistic Understanding
210   $cFrontiers Media SA$d2018
215   $a1 online resource (228 p.)
225 1 $aFrontiers Research Topics
311 08$a2-88945-365-0 
330   $aIn light of climate change and allied changes to marine ecosystems, mathematical models have become an important tool to examine processes and predict phenomena from local through to global scales. In recent years model studies, laboratory experiments and a better ecological understanding of the pelagic ecosystem have enabled advancements on fundamental challenges in oceanography, including marine production, biodiversity and anticipation of future conditions in the ocean. This research topic presents a number of studies that investigate functionally diverse organism in a dynamic ocean through diverse and novel modeling approaches.
610   $abiogeochemistry
610   $aClimate Change
610   $aecosystems
610   $afood webs
610   $aMicrobial loop
610   $aMixotroph
610   $aPhytoplankton
610   $aPredictive capability
610   $avirus-host
610   $aZooplankton
700   $aKevin J. Flynn$4auth$01306120
702   $aSusanne Menden-Deuer$4auth
702   $aDag L. Aksnes$4auth
702   $aChristian Lindemann$4auth
906   $aBOOK
912   $a9910261135803321
996   $aModeling the Plankton - Enhancing the Integration of Biological Knowledge and Mechanistic Understanding$93028285
997   $aUNINA