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...
Published in: | Biogeosciences |
---|---|
Main Authors: | , , |
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 |
id |
ftdoajarticles:oai:doaj.org/article:7e94c7d03f23444490ed349a5d4fa27e |
---|---|
record_format |
openpolar |
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 |
op_container_end_page |
5830 |
_version_ |
1766230102115352576 |