Global assessment of species-specific habitats of planktonic foraminifera : an ecosystem modeling approach
Over the last few million years, the Eartha s climate system has changed continuously on decadal to millennial time scales. Past climate conditions have been reconstructed based on fossil evidence of marine microorganisms, such as planktonic foraminifera. Planktonic foraminifera exhibit species-spec...
Main Author: | |
---|---|
Other Authors: | , |
Format: | Doctoral or Postdoctoral Thesis |
Language: | English |
Published: |
Universität Bremen
2017
|
Subjects: | |
Online Access: | https://media.suub.uni-bremen.de/handle/elib/1367 https://nbn-resolving.org/urn:nbn:de:gbv:46-00106366-16 |
id |
ftsubbremen:oai:media.suub.uni-bremen.de:Publications/elib/1367 |
---|---|
record_format |
openpolar |
spelling |
ftsubbremen:oai:media.suub.uni-bremen.de:Publications/elib/1367 2023-05-15T17:15:00+02:00 Global assessment of species-specific habitats of planktonic foraminifera : an ecosystem modeling approach Globale Abschätzung artenspezifischer Lebensräume planktischer Foraminiferen : ein Ökosystemmodellierungsansatz Kretschmer, Kerstin Schulz, Michael Wefer, Gerold 2017-12-19 application/pdf https://media.suub.uni-bremen.de/handle/elib/1367 https://nbn-resolving.org/urn:nbn:de:gbv:46-00106366-16 eng eng Universität Bremen FB5 Geowissenschaften https://media.suub.uni-bremen.de/handle/elib/1367 urn:nbn:de:gbv:46-00106366-16 info:eu-repo/semantics/openAccess Bitte wählen Sie eine Lizenz aus: (Unsere Empfehlung: CC-BY) CC-BY planktonic foraminifera zooplankton ecosystem modeling climate change 550 550 Earth sciences and geology ddc:550 Dissertation doctoralThesis 2017 ftsubbremen 2022-11-09T07:09:35Z Over the last few million years, the Eartha s climate system has changed continuously on decadal to millennial time scales. Past climate conditions have been reconstructed based on fossil evidence of marine microorganisms, such as planktonic foraminifera. Planktonic foraminifera exhibit species-specific seasonal production patterns and different preferred depth habitats. To precisely reconstruct past climate conditions these spatial and temporal variations within the individual species distribution have to be considered. In this regard, an ecosystem modeling approach can help to gain a better knowledge about species-specific habitat shifts under climate change. In this study, a planktonic foraminifera model is used to predict monthly concentrations of the colder-water species Neogloboquadrina pachyderma, Neogloboquadrina incompta, and Globigerina bulloides, and of the warm-water species Globigerinoides ruber (white) and Trilobatus sacculifer throughout the world ocean. In particular, the seasonal distribution of the polar species N. pachyderma in the surface mixed layer of the North Atlantic Ocean during the last glacial period was investigated. In response to changes in the sea ice cover and food supply, the peak timing of N. pachyderma is shifted from the last glacial period to modern conditions by several months. However, for a more realistic simulation of species-specific habitats, the planktonic foraminifera model PLAFOM was adapted to allow for resolving the vertical dimension. This new model version estimates the foraminiferal biomass of the colder- and warm-water species as a function of temperature, nutrition, competition, and in particular light. To predict the species concentration over different water depths the model code of the improved version of the planktonic foraminifera model was added to the code trunk of the ocean component of a global earth system model. This model produces seasonally and vertically coherent distribution patterns that are in good agreement with available observations ... Doctoral or Postdoctoral Thesis Neogloboquadrina pachyderma North Atlantic Planktonic foraminifera Sea ice Media SuUB Bremen (Staats- und Universitätsbibliothek Bremen) |
institution |
Open Polar |
collection |
Media SuUB Bremen (Staats- und Universitätsbibliothek Bremen) |
op_collection_id |
ftsubbremen |
language |
English |
topic |
planktonic foraminifera zooplankton ecosystem modeling climate change 550 550 Earth sciences and geology ddc:550 |
spellingShingle |
planktonic foraminifera zooplankton ecosystem modeling climate change 550 550 Earth sciences and geology ddc:550 Kretschmer, Kerstin Global assessment of species-specific habitats of planktonic foraminifera : an ecosystem modeling approach |
topic_facet |
planktonic foraminifera zooplankton ecosystem modeling climate change 550 550 Earth sciences and geology ddc:550 |
description |
Over the last few million years, the Eartha s climate system has changed continuously on decadal to millennial time scales. Past climate conditions have been reconstructed based on fossil evidence of marine microorganisms, such as planktonic foraminifera. Planktonic foraminifera exhibit species-specific seasonal production patterns and different preferred depth habitats. To precisely reconstruct past climate conditions these spatial and temporal variations within the individual species distribution have to be considered. In this regard, an ecosystem modeling approach can help to gain a better knowledge about species-specific habitat shifts under climate change. In this study, a planktonic foraminifera model is used to predict monthly concentrations of the colder-water species Neogloboquadrina pachyderma, Neogloboquadrina incompta, and Globigerina bulloides, and of the warm-water species Globigerinoides ruber (white) and Trilobatus sacculifer throughout the world ocean. In particular, the seasonal distribution of the polar species N. pachyderma in the surface mixed layer of the North Atlantic Ocean during the last glacial period was investigated. In response to changes in the sea ice cover and food supply, the peak timing of N. pachyderma is shifted from the last glacial period to modern conditions by several months. However, for a more realistic simulation of species-specific habitats, the planktonic foraminifera model PLAFOM was adapted to allow for resolving the vertical dimension. This new model version estimates the foraminiferal biomass of the colder- and warm-water species as a function of temperature, nutrition, competition, and in particular light. To predict the species concentration over different water depths the model code of the improved version of the planktonic foraminifera model was added to the code trunk of the ocean component of a global earth system model. This model produces seasonally and vertically coherent distribution patterns that are in good agreement with available observations ... |
author2 |
Schulz, Michael Wefer, Gerold |
format |
Doctoral or Postdoctoral Thesis |
author |
Kretschmer, Kerstin |
author_facet |
Kretschmer, Kerstin |
author_sort |
Kretschmer, Kerstin |
title |
Global assessment of species-specific habitats of planktonic foraminifera : an ecosystem modeling approach |
title_short |
Global assessment of species-specific habitats of planktonic foraminifera : an ecosystem modeling approach |
title_full |
Global assessment of species-specific habitats of planktonic foraminifera : an ecosystem modeling approach |
title_fullStr |
Global assessment of species-specific habitats of planktonic foraminifera : an ecosystem modeling approach |
title_full_unstemmed |
Global assessment of species-specific habitats of planktonic foraminifera : an ecosystem modeling approach |
title_sort |
global assessment of species-specific habitats of planktonic foraminifera : an ecosystem modeling approach |
publisher |
Universität Bremen |
publishDate |
2017 |
url |
https://media.suub.uni-bremen.de/handle/elib/1367 https://nbn-resolving.org/urn:nbn:de:gbv:46-00106366-16 |
genre |
Neogloboquadrina pachyderma North Atlantic Planktonic foraminifera Sea ice |
genre_facet |
Neogloboquadrina pachyderma North Atlantic Planktonic foraminifera Sea ice |
op_relation |
https://media.suub.uni-bremen.de/handle/elib/1367 urn:nbn:de:gbv:46-00106366-16 |
op_rights |
info:eu-repo/semantics/openAccess Bitte wählen Sie eine Lizenz aus: (Unsere Empfehlung: CC-BY) |
op_rightsnorm |
CC-BY |
_version_ |
1766073130847043584 |