Change in Siberian phytomass predicted for global warming
An equilibrium model driven by climatic parameters, the Siberian Vegetation Model, was used to estimate changes in the phytomass of Siberian vegetation under climate change scenarios (CO2 doubling) from four general circulation models (GCM's) of the atmosphere. Ecosystems were classified using...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Finnish Society of Forest Science
1996-12-01
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| Series: | Silva Fennica |
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| _version_ | 1818459844482433024 |
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| author | Robert A. Monserud Olga V. Denissenko Tatyana P. Kolchugina Nadja M. Tchebakova |
| author_facet | Robert A. Monserud Olga V. Denissenko Tatyana P. Kolchugina Nadja M. Tchebakova |
| author_sort | Robert A. Monserud |
| collection | DOAJ |
| description | An equilibrium model driven by climatic parameters, the Siberian Vegetation Model, was used to estimate changes in the phytomass of Siberian vegetation under climate change scenarios (CO2 doubling) from four general circulation models (GCM's) of the atmosphere. Ecosystems were classified using a three-dimensional climatic ordination of growing degree days (above a 5 °C threshold), Budyko's dryness index (based on radiation balance and annual precipitation), and Conrad's continentality index. Phytomass density was estimated using published data of Bazilevich covering all vegetation zones in Siberia. Under current climate, total phytomass of Siberia is estimated to be 74.1 ± 2.0 Pg (petagram = 1,015 g). Note that this estimate is based on the current forested percentage in each vegetation class compiled from forest inventory data.
Moderate warming associated with the GISS (Goddard Institute for Space Studies) and OSU (Oregon State Univ.) projections resulted in a 23–26 % increase in phytomass (to 91.3 ± 2.1 Pg and 93.6 ± 2.4 Pg, respectively), primarily due to an increase in the productive Southern Taiga and Sub-taiga classes. Greater warming associated with the GFDL (General Fluid Dynamics Laboratory) and UKMO (United Kingdom Meteorological Office) projections resulted in a small 3–7 % increase in phytomass (to 76.6 ± 1.3 Pg and 79.6 ± 1.2 Pg, respectively). A major component of predicted change using GFDL and UKMO is the introduction of a vast Temperate Forest-Steppe class covering nearly 40% of the area of Siberia, at the expense of Taiga; with current climate, this vegetation class is nearly non-existent in Siberia. In addition, Sub-boreal Forest-Steppe phytomass double with all GCM predictions. In all four climate change scenarios, the predicted phytomass stock of all colder, northern classes is reduced considerably (viz., Tundra, Fore Tundra, northern Taiga, and Middle Taiga). Phytomass in Sub-taiga increases greatly with all scenarios, from a doubling with GFDL to quadrupling with OSU and GISS. Overall, phytomass of the Taiga biome (Northern, Middle, Southern and Sub-taiga) increased 15% in the moderate OSU and GISS scenarios and decreased by a third in the warmer UKMO and GFDL projections. In addition, a sensitivity analysis found that the percentage of a vegetation class that is forested is a major factor determining phytomass distribution. From 25 to 50% more phytomass is predicted under climate change if the forested proportion corresponding to potential rather than current vegetation is assumed. |
| first_indexed | 2024-12-14T23:20:49Z |
| format | Article |
| id | doaj.art-da4d8aa5d5574aa5ac4e715f73b32a77 |
| institution | Directory Open Access Journal |
| issn | 2242-4075 2242-4075 |
| language | English |
| last_indexed | 2024-12-14T23:20:49Z |
| publishDate | 1996-12-01 |
| publisher | Finnish Society of Forest Science |
| record_format | Article |
| series | Silva Fennica |
| spelling | doaj.art-da4d8aa5d5574aa5ac4e715f73b32a772022-12-21T22:43:59ZengFinnish Society of Forest ScienceSilva Fennica2242-40752242-40751996-12-01302-310.14214/sf.a9231Change in Siberian phytomass predicted for global warmingRobert A. MonserudOlga V. DenissenkoTatyana P. KolchuginaNadja M. TchebakovaAn equilibrium model driven by climatic parameters, the Siberian Vegetation Model, was used to estimate changes in the phytomass of Siberian vegetation under climate change scenarios (CO2 doubling) from four general circulation models (GCM's) of the atmosphere. Ecosystems were classified using a three-dimensional climatic ordination of growing degree days (above a 5 °C threshold), Budyko's dryness index (based on radiation balance and annual precipitation), and Conrad's continentality index. Phytomass density was estimated using published data of Bazilevich covering all vegetation zones in Siberia. Under current climate, total phytomass of Siberia is estimated to be 74.1 ± 2.0 Pg (petagram = 1,015 g). Note that this estimate is based on the current forested percentage in each vegetation class compiled from forest inventory data. Moderate warming associated with the GISS (Goddard Institute for Space Studies) and OSU (Oregon State Univ.) projections resulted in a 23–26 % increase in phytomass (to 91.3 ± 2.1 Pg and 93.6 ± 2.4 Pg, respectively), primarily due to an increase in the productive Southern Taiga and Sub-taiga classes. Greater warming associated with the GFDL (General Fluid Dynamics Laboratory) and UKMO (United Kingdom Meteorological Office) projections resulted in a small 3–7 % increase in phytomass (to 76.6 ± 1.3 Pg and 79.6 ± 1.2 Pg, respectively). A major component of predicted change using GFDL and UKMO is the introduction of a vast Temperate Forest-Steppe class covering nearly 40% of the area of Siberia, at the expense of Taiga; with current climate, this vegetation class is nearly non-existent in Siberia. In addition, Sub-boreal Forest-Steppe phytomass double with all GCM predictions. In all four climate change scenarios, the predicted phytomass stock of all colder, northern classes is reduced considerably (viz., Tundra, Fore Tundra, northern Taiga, and Middle Taiga). Phytomass in Sub-taiga increases greatly with all scenarios, from a doubling with GFDL to quadrupling with OSU and GISS. Overall, phytomass of the Taiga biome (Northern, Middle, Southern and Sub-taiga) increased 15% in the moderate OSU and GISS scenarios and decreased by a third in the warmer UKMO and GFDL projections. In addition, a sensitivity analysis found that the percentage of a vegetation class that is forested is a major factor determining phytomass distribution. From 25 to 50% more phytomass is predicted under climate change if the forested proportion corresponding to potential rather than current vegetation is assumed.siberiaphytomassclimate changeglobal warmingcarbon cyclevegetation modellingbioclimatologytaigavegetation zone |
| spellingShingle | Robert A. Monserud Olga V. Denissenko Tatyana P. Kolchugina Nadja M. Tchebakova Change in Siberian phytomass predicted for global warming Silva Fennica siberia phytomass climate change global warming carbon cycle vegetation modelling bioclimatology taiga vegetation zone |
| title | Change in Siberian phytomass predicted for global warming |
| title_full | Change in Siberian phytomass predicted for global warming |
| title_fullStr | Change in Siberian phytomass predicted for global warming |
| title_full_unstemmed | Change in Siberian phytomass predicted for global warming |
| title_short | Change in Siberian phytomass predicted for global warming |
| title_sort | change in siberian phytomass predicted for global warming |
| topic | siberia phytomass climate change global warming carbon cycle vegetation modelling bioclimatology taiga vegetation zone |
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