Assessing the vulnerability of endemic diatom species in Lake Baikal to predicted future climate change: a multivariate approach

Diatoms in Lake Baikal exhibit significant spatial variation, related to prevailing climate, lake morphology and fluvial input into the lake. Here we have assessed the threats to endemic planktonic diatom species (through the development of empirical models), which form a major component of primary...

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Main Authors: Mackay, AW, Ryves, DB, Morley, DW, Jewson, DH, Rioual, P
Format: Article in Journal/Newspaper
Language:unknown
Published: BLACKWELL PUBLISHING 2006
Subjects:
Online Access:http://discovery.ucl.ac.uk/11145/
id ftucl:oai:eprints.ucl.ac.uk.OAI2:11145
record_format openpolar
spelling ftucl:oai:eprints.ucl.ac.uk.OAI2:11145 2023-05-15T16:30:37+02:00 Assessing the vulnerability of endemic diatom species in Lake Baikal to predicted future climate change: a multivariate approach Mackay, AW Ryves, DB Morley, DW Jewson, DH Rioual, P 2006-12 http://discovery.ucl.ac.uk/11145/ unknown BLACKWELL PUBLISHING GLOBAL CHANGE BIOL , 12 (12) 2297 - 2315. (2006) endemic diatoms environmental controls future climate change Lake Baikal multivariate analysis multivariate ordination surface sediments DEEP-WATER RENEWAL ICE-COVER ENVIRONMENTAL-CHANGES NORTHERN-HEMISPHERE AQUATIC ECOSYSTEM WEST GREENLAND SATELLITE DATA SNOW EXTENT FOOD-WEB PHYTOPLANKTON Article 2006 ftucl 2016-01-15T00:08:27Z Diatoms in Lake Baikal exhibit significant spatial variation, related to prevailing climate, lake morphology and fluvial input into the lake. Here we have assessed the threats to endemic planktonic diatom species (through the development of empirical models), which form a major component of primary production within the lake. Multivariate techniques employed include redundancy analysis (RDA) and Huisman-Olff-Fresco (HOF) models. Our analyses suggest that eight environmental variables were significant in explaining diatom distribution across the lake, and in order of importance these are snow thickness on the ice, water depth, duration of days with white ice, suspended matter in the lake, days of total ice duration, temperature of the water surface in July, concentration of zooplankton and suspended organic matter. Impacts on dominant phytoplankton diatom species are highlighted using t-value biplots. Predictions of future climate change on Lake Baikal are likely to result in shorter periods of ice cover, decreased snow cover across the lake in spring, increased fluvial input into the lake, and an increase in the intensification of surface water stratification during summer months. All these factors are likely to impact negatively on the slow-growing, cold-water endemics such as Aulacoseira baicalensis and Cyclotella minuta, which currently dominate diatom assemblages. Instead, taxa that are only intermittently abundant, at present, in offshore areas (e.g. Stephanodiscus meyerii) are likely to become more frequent. However, given the climatic gradient across the lake, the timing and extent of changes in community structure are likely to vary. Moreover, palaeolimnological records show that Lake Baikal diatom assemblages have been dynamic throughout the Holocene, with both endemic and cosmopolitan species exhibiting periods of dominance. Effects of climate change on the entire lake ecosystem may yet be profound as the structure of the pelagic food web may change from one based on endemic diatom taxa to one dominated by nondiatom picoplankton, and as limnological functioning (e.g. stratification and mixing) affects deepwater oxygen availability, nutrient cycling and trophic linkages. Article in Journal/Newspaper Greenland University College London: UCL Discovery Greenland
institution Open Polar
collection University College London: UCL Discovery
op_collection_id ftucl
language unknown
topic endemic diatoms
environmental controls
future climate change
Lake Baikal
multivariate analysis
multivariate ordination
surface sediments
DEEP-WATER RENEWAL
ICE-COVER
ENVIRONMENTAL-CHANGES
NORTHERN-HEMISPHERE
AQUATIC ECOSYSTEM
WEST GREENLAND
SATELLITE DATA
SNOW EXTENT
FOOD-WEB
PHYTOPLANKTON
spellingShingle endemic diatoms
environmental controls
future climate change
Lake Baikal
multivariate analysis
multivariate ordination
surface sediments
DEEP-WATER RENEWAL
ICE-COVER
ENVIRONMENTAL-CHANGES
NORTHERN-HEMISPHERE
AQUATIC ECOSYSTEM
WEST GREENLAND
SATELLITE DATA
SNOW EXTENT
FOOD-WEB
PHYTOPLANKTON
Mackay, AW
Ryves, DB
Morley, DW
Jewson, DH
Rioual, P
Assessing the vulnerability of endemic diatom species in Lake Baikal to predicted future climate change: a multivariate approach
topic_facet endemic diatoms
environmental controls
future climate change
Lake Baikal
multivariate analysis
multivariate ordination
surface sediments
DEEP-WATER RENEWAL
ICE-COVER
ENVIRONMENTAL-CHANGES
NORTHERN-HEMISPHERE
AQUATIC ECOSYSTEM
WEST GREENLAND
SATELLITE DATA
SNOW EXTENT
FOOD-WEB
PHYTOPLANKTON
description Diatoms in Lake Baikal exhibit significant spatial variation, related to prevailing climate, lake morphology and fluvial input into the lake. Here we have assessed the threats to endemic planktonic diatom species (through the development of empirical models), which form a major component of primary production within the lake. Multivariate techniques employed include redundancy analysis (RDA) and Huisman-Olff-Fresco (HOF) models. Our analyses suggest that eight environmental variables were significant in explaining diatom distribution across the lake, and in order of importance these are snow thickness on the ice, water depth, duration of days with white ice, suspended matter in the lake, days of total ice duration, temperature of the water surface in July, concentration of zooplankton and suspended organic matter. Impacts on dominant phytoplankton diatom species are highlighted using t-value biplots. Predictions of future climate change on Lake Baikal are likely to result in shorter periods of ice cover, decreased snow cover across the lake in spring, increased fluvial input into the lake, and an increase in the intensification of surface water stratification during summer months. All these factors are likely to impact negatively on the slow-growing, cold-water endemics such as Aulacoseira baicalensis and Cyclotella minuta, which currently dominate diatom assemblages. Instead, taxa that are only intermittently abundant, at present, in offshore areas (e.g. Stephanodiscus meyerii) are likely to become more frequent. However, given the climatic gradient across the lake, the timing and extent of changes in community structure are likely to vary. Moreover, palaeolimnological records show that Lake Baikal diatom assemblages have been dynamic throughout the Holocene, with both endemic and cosmopolitan species exhibiting periods of dominance. Effects of climate change on the entire lake ecosystem may yet be profound as the structure of the pelagic food web may change from one based on endemic diatom taxa to one dominated by nondiatom picoplankton, and as limnological functioning (e.g. stratification and mixing) affects deepwater oxygen availability, nutrient cycling and trophic linkages.
format Article in Journal/Newspaper
author Mackay, AW
Ryves, DB
Morley, DW
Jewson, DH
Rioual, P
author_facet Mackay, AW
Ryves, DB
Morley, DW
Jewson, DH
Rioual, P
author_sort Mackay, AW
title Assessing the vulnerability of endemic diatom species in Lake Baikal to predicted future climate change: a multivariate approach
title_short Assessing the vulnerability of endemic diatom species in Lake Baikal to predicted future climate change: a multivariate approach
title_full Assessing the vulnerability of endemic diatom species in Lake Baikal to predicted future climate change: a multivariate approach
title_fullStr Assessing the vulnerability of endemic diatom species in Lake Baikal to predicted future climate change: a multivariate approach
title_full_unstemmed Assessing the vulnerability of endemic diatom species in Lake Baikal to predicted future climate change: a multivariate approach
title_sort assessing the vulnerability of endemic diatom species in lake baikal to predicted future climate change: a multivariate approach
publisher BLACKWELL PUBLISHING
publishDate 2006
url http://discovery.ucl.ac.uk/11145/
geographic Greenland
geographic_facet Greenland
genre Greenland
genre_facet Greenland
op_source GLOBAL CHANGE BIOL , 12 (12) 2297 - 2315. (2006)
_version_ 1766020353374552064