Data-based modelling and environmental sensitivity of vegetation in China

A process-oriented niche specification (PONS) model was constructed to quantify climatic controls on the distribution of ecosystems, based on the vegetation map of China. PONS uses general hypotheses about bioclimatic controls to provide a "bridge" between statistical niche models and more...

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Published in:Biogeosciences
Main Authors: H. Wang, I. C. Prentice, J. Ni
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2013
Subjects:
Online Access:https://doi.org/10.5194/bg-10-5817-2013
https://doaj.org/article/7e94c7d03f23444490ed349a5d4fa27e
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spelling ftdoajarticles:oai:doaj.org/article:7e94c7d03f23444490ed349a5d4fa27e 2023-05-15T18:40:41+02:00 Data-based modelling and environmental sensitivity of vegetation in China H. Wang I. C. Prentice J. Ni 2013-09-01T00:00:00Z https://doi.org/10.5194/bg-10-5817-2013 https://doaj.org/article/7e94c7d03f23444490ed349a5d4fa27e EN eng Copernicus Publications http://www.biogeosciences.net/10/5817/2013/bg-10-5817-2013.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 doi:10.5194/bg-10-5817-2013 1726-4170 1726-4189 https://doaj.org/article/7e94c7d03f23444490ed349a5d4fa27e Biogeosciences, Vol 10, Iss 9, Pp 5817-5830 (2013) Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 article 2013 ftdoajarticles https://doi.org/10.5194/bg-10-5817-2013 2022-12-31T13:43:36Z A process-oriented niche specification (PONS) model was constructed to quantify climatic controls on the distribution of ecosystems, based on the vegetation map of China. PONS uses general hypotheses about bioclimatic controls to provide a "bridge" between statistical niche models and more complex process-based models. Canonical correspondence analysis provided an overview of relationships between the abundances of 55 plant communities in 0.1° grid cells and associated mean values of 20 predictor variables. Of these, GDD 0 (accumulated degree days above 0 °C), Cramer–Prentice α (an estimate of the ratio of actual to equilibrium evapotranspiration) and mGDD 5 (mean temperature during the period above 5 °C) showed the greatest predictive power. These three variables were used to develop generalized linear models for the probability of occurrence of 16 vegetation classes, aggregated from the original 55 types by k -means clustering according to bioclimatic similarity. Each class was hypothesized to possess a unimodal relationship to each bioclimate variable, independently of the other variables. A simple calibration was used to generate vegetation maps from the predicted probabilities of the classes. Modelled and observed vegetation maps showed good to excellent agreement ( κ = 0.745). A sensitivity study examined modelled responses of vegetation distribution to spatially uniform changes in temperature, precipitation and [CO 2 ], the latter included via an offset to α (based on an independent, data-based light use efficiency model for forest net primary production). Warming shifted the boundaries of most vegetation classes northward and westward while temperate steppe and desert replaced alpine tundra and steppe in the southeast of the Tibetan Plateau. Increased precipitation expanded mesic vegetation at the expense of xeric vegetation. The effect of [CO 2 ] doubling was roughly equivalent to increasing precipitation by ~ 30%, favouring woody vegetation types, particularly in northern China. Agricultural zones in ... Article in Journal/Newspaper Tundra Directory of Open Access Journals: DOAJ Articles Cramer ENVELOPE(-63.098,-63.098,-64.824,-64.824) Biogeosciences 10 9 5817 5830
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Ecology
QH540-549.5
Life
QH501-531
Geology
QE1-996.5
spellingShingle Ecology
QH540-549.5
Life
QH501-531
Geology
QE1-996.5
H. Wang
I. C. Prentice
J. Ni
Data-based modelling and environmental sensitivity of vegetation in China
topic_facet Ecology
QH540-549.5
Life
QH501-531
Geology
QE1-996.5
description A process-oriented niche specification (PONS) model was constructed to quantify climatic controls on the distribution of ecosystems, based on the vegetation map of China. PONS uses general hypotheses about bioclimatic controls to provide a "bridge" between statistical niche models and more complex process-based models. Canonical correspondence analysis provided an overview of relationships between the abundances of 55 plant communities in 0.1° grid cells and associated mean values of 20 predictor variables. Of these, GDD 0 (accumulated degree days above 0 °C), Cramer–Prentice α (an estimate of the ratio of actual to equilibrium evapotranspiration) and mGDD 5 (mean temperature during the period above 5 °C) showed the greatest predictive power. These three variables were used to develop generalized linear models for the probability of occurrence of 16 vegetation classes, aggregated from the original 55 types by k -means clustering according to bioclimatic similarity. Each class was hypothesized to possess a unimodal relationship to each bioclimate variable, independently of the other variables. A simple calibration was used to generate vegetation maps from the predicted probabilities of the classes. Modelled and observed vegetation maps showed good to excellent agreement ( κ = 0.745). A sensitivity study examined modelled responses of vegetation distribution to spatially uniform changes in temperature, precipitation and [CO 2 ], the latter included via an offset to α (based on an independent, data-based light use efficiency model for forest net primary production). Warming shifted the boundaries of most vegetation classes northward and westward while temperate steppe and desert replaced alpine tundra and steppe in the southeast of the Tibetan Plateau. Increased precipitation expanded mesic vegetation at the expense of xeric vegetation. The effect of [CO 2 ] doubling was roughly equivalent to increasing precipitation by ~ 30%, favouring woody vegetation types, particularly in northern China. Agricultural zones in ...
format Article in Journal/Newspaper
author H. Wang
I. C. Prentice
J. Ni
author_facet H. Wang
I. C. Prentice
J. Ni
author_sort H. Wang
title Data-based modelling and environmental sensitivity of vegetation in China
title_short Data-based modelling and environmental sensitivity of vegetation in China
title_full Data-based modelling and environmental sensitivity of vegetation in China
title_fullStr Data-based modelling and environmental sensitivity of vegetation in China
title_full_unstemmed Data-based modelling and environmental sensitivity of vegetation in China
title_sort data-based modelling and environmental sensitivity of vegetation in china
publisher Copernicus Publications
publishDate 2013
url https://doi.org/10.5194/bg-10-5817-2013
https://doaj.org/article/7e94c7d03f23444490ed349a5d4fa27e
long_lat ENVELOPE(-63.098,-63.098,-64.824,-64.824)
geographic Cramer
geographic_facet Cramer
genre Tundra
genre_facet Tundra
op_source Biogeosciences, Vol 10, Iss 9, Pp 5817-5830 (2013)
op_relation http://www.biogeosciences.net/10/5817/2013/bg-10-5817-2013.pdf
https://doaj.org/toc/1726-4170
https://doaj.org/toc/1726-4189
doi:10.5194/bg-10-5817-2013
1726-4170
1726-4189
https://doaj.org/article/7e94c7d03f23444490ed349a5d4fa27e
op_doi https://doi.org/10.5194/bg-10-5817-2013
container_title Biogeosciences
container_volume 10
container_issue 9
container_start_page 5817
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