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Modelling the potential effects of climate change on calcareous grasslands in Atlantic Europe.

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Modelling the potential effects of climate change on calcareous grasslands in Atlantic Europe. / Duckworth, J. C.; Bunce, Robert; Malloch, Andrew.
In: Journal of Biogeography, Vol. 27, No. 2, 03.2000, p. 347-358.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Duckworth, JC, Bunce, R & Malloch, A 2000, 'Modelling the potential effects of climate change on calcareous grasslands in Atlantic Europe.', Journal of Biogeography, vol. 27, no. 2, pp. 347-358. https://doi.org/10.1046/j.1365-2699.2000.00400.x

APA

Vancouver

Duckworth JC, Bunce R, Malloch A. Modelling the potential effects of climate change on calcareous grasslands in Atlantic Europe. Journal of Biogeography. 2000 Mar;27(2):347-358. doi: 10.1046/j.1365-2699.2000.00400.x

Author

Duckworth, J. C. ; Bunce, Robert ; Malloch, Andrew. / Modelling the potential effects of climate change on calcareous grasslands in Atlantic Europe. In: Journal of Biogeography. 2000 ; Vol. 27, No. 2. pp. 347-358.

Bibtex

@article{d01bd529ec0e420391e6994d67bc7daf,
title = "Modelling the potential effects of climate change on calcareous grasslands in Atlantic Europe.",
abstract = "Aim This study aims to assess the sensitivity of calcareous grassland vegetation to climate change and to indicate the most probable direction of change. Location The study area was a region of Britain, Ireland, France and Spain, centred on the Bay of Biscay, which was defined using a land classification based on climatic criteria. Methods Vegetation was sampled in the field, with additional data collected on soils, climate, management and land cover. The vegetation samples were ordinated by detrended correspondence analysis in order to explore the main gradients present and as a basis for modelling changes. Environmental data were summarized by ordination techniques, with the scores generated used to predict the current vegetation score on the first two ordination axes by multiple regression. The model was then manipulated to represent a 2 °C increase in temperature and resulting shifts in the vegetation samples in terms of their species composition assessed. Results There was a good general agreement between the original vegetation ordination axis scores and those predicted by the model, the latter of which were based on environmental data alone. Following a 2 °C increase in temperature, the predicted changes in the ordination space were demonstrated to be subtle, consisting of small shifts towards vegetation associated with warmer conditions, representing distances 100 km or less on the ground. Main conclusions The models are simple but nevertheless provide a useful basis for the investigation of potential vegetation change. The shifts in the ordination space represent more minor changes than those predicted in previous studies. This suggests that the potential for major change is lower when environmental factors such as soil and management are considered in addition to climate. The potential for change is also reduced when vegetation is considered as a whole rather than on an individual species basis, due to both interspecific interactions and interactions with environmental factors acting as constraints.",
keywords = "Climate change • vegetation • calcareous grassland • ordination • multiple regression",
author = "Duckworth, {J. C.} and Robert Bunce and Andrew Malloch",
year = "2000",
month = mar,
doi = "10.1046/j.1365-2699.2000.00400.x",
language = "English",
volume = "27",
pages = "347--358",
journal = "Journal of Biogeography",
issn = "0305-0270",
publisher = "Wiley",
number = "2",

}

RIS

TY - JOUR

T1 - Modelling the potential effects of climate change on calcareous grasslands in Atlantic Europe.

AU - Duckworth, J. C.

AU - Bunce, Robert

AU - Malloch, Andrew

PY - 2000/3

Y1 - 2000/3

N2 - Aim This study aims to assess the sensitivity of calcareous grassland vegetation to climate change and to indicate the most probable direction of change. Location The study area was a region of Britain, Ireland, France and Spain, centred on the Bay of Biscay, which was defined using a land classification based on climatic criteria. Methods Vegetation was sampled in the field, with additional data collected on soils, climate, management and land cover. The vegetation samples were ordinated by detrended correspondence analysis in order to explore the main gradients present and as a basis for modelling changes. Environmental data were summarized by ordination techniques, with the scores generated used to predict the current vegetation score on the first two ordination axes by multiple regression. The model was then manipulated to represent a 2 °C increase in temperature and resulting shifts in the vegetation samples in terms of their species composition assessed. Results There was a good general agreement between the original vegetation ordination axis scores and those predicted by the model, the latter of which were based on environmental data alone. Following a 2 °C increase in temperature, the predicted changes in the ordination space were demonstrated to be subtle, consisting of small shifts towards vegetation associated with warmer conditions, representing distances 100 km or less on the ground. Main conclusions The models are simple but nevertheless provide a useful basis for the investigation of potential vegetation change. The shifts in the ordination space represent more minor changes than those predicted in previous studies. This suggests that the potential for major change is lower when environmental factors such as soil and management are considered in addition to climate. The potential for change is also reduced when vegetation is considered as a whole rather than on an individual species basis, due to both interspecific interactions and interactions with environmental factors acting as constraints.

AB - Aim This study aims to assess the sensitivity of calcareous grassland vegetation to climate change and to indicate the most probable direction of change. Location The study area was a region of Britain, Ireland, France and Spain, centred on the Bay of Biscay, which was defined using a land classification based on climatic criteria. Methods Vegetation was sampled in the field, with additional data collected on soils, climate, management and land cover. The vegetation samples were ordinated by detrended correspondence analysis in order to explore the main gradients present and as a basis for modelling changes. Environmental data were summarized by ordination techniques, with the scores generated used to predict the current vegetation score on the first two ordination axes by multiple regression. The model was then manipulated to represent a 2 °C increase in temperature and resulting shifts in the vegetation samples in terms of their species composition assessed. Results There was a good general agreement between the original vegetation ordination axis scores and those predicted by the model, the latter of which were based on environmental data alone. Following a 2 °C increase in temperature, the predicted changes in the ordination space were demonstrated to be subtle, consisting of small shifts towards vegetation associated with warmer conditions, representing distances 100 km or less on the ground. Main conclusions The models are simple but nevertheless provide a useful basis for the investigation of potential vegetation change. The shifts in the ordination space represent more minor changes than those predicted in previous studies. This suggests that the potential for major change is lower when environmental factors such as soil and management are considered in addition to climate. The potential for change is also reduced when vegetation is considered as a whole rather than on an individual species basis, due to both interspecific interactions and interactions with environmental factors acting as constraints.

KW - Climate change • vegetation • calcareous grassland • ordination • multiple regression

U2 - 10.1046/j.1365-2699.2000.00400.x

DO - 10.1046/j.1365-2699.2000.00400.x

M3 - Journal article

VL - 27

SP - 347

EP - 358

JO - Journal of Biogeography

JF - Journal of Biogeography

SN - 0305-0270

IS - 2

ER -