GSTDTAP  > 气候变化
DOI10.1111/gcb.14502
Adaptation of soil microbial growth to temperature: Using a tropical elevation gradient to predict future changes
Nottingham, Andrew T.1,2; Baath, Erland3; Reischke, Stephanie3; Salinas, Norma4; Meir, Patrick1,5
2019-03-01
发表期刊GLOBAL CHANGE BIOLOGY
ISSN1354-1013
EISSN1365-2486
出版年2019
卷号25期号:3页码:827-838
文章类型Article
语种英语
国家Scotland; Panama; Sweden; Peru; Australia
英文摘要

Terrestrial biogeochemical feedbacks to the climate are strongly modulated by the temperature response of soil microorganisms. Tropical forests, in particular, exert a major influence on global climate because they are the most productive terrestrial ecosystem. We used an elevation gradient across tropical forest in the Andes (a gradient of 20 degrees C mean annual temperature, MAT), to test whether soil bacterial and fungal community growth responses are adapted to long-term temperature differences. We evaluated the temperature dependency of soil bacterial and fungal growth using the leucine- and acetate-incorporation methods, respectively, and determined indices for the temperature response of growth: Q(10) (temperature sensitivity over a given 10oC range) and T-min (the minimum temperature for growth). For both bacterial and fungal communities, increased MAT (decreased elevation) resulted in increases in Q(10) and T-min of growth. Across a MAT range from 6 degrees C to 26 degrees C, the Q(10) and T-min varied for bacterial growth (Q(10-20) = 2.4 to 3.5; T-min = -8 degrees C to -1.5 degrees C) and fungal growth (Q(10-20) = 2.6 to 3.6; T-min = -6 degrees C to -1 degrees C). Thus, bacteria and fungi did not differ significantly in their growth temperature responses with changes in MAT. Our findings indicate that across natural temperature gradients, each increase in MAT by 1 degrees C results in increases in T-min of microbial growth by approximately 0.3 degrees C and Q(10-20) by 0.05, consistent with long-term temperature adaptation of soil microbial communities. A 2 degrees C warming would increase microbial activity across a MAT gradient of 6 degrees C to 26 degrees C by 28% to 15%, respectively, and temperature adaptation of microbial communities would further increase activity by 1.2% to 0.3%. The impact of warming on microbial activity, and the related impact on soil carbon cycling, is thus greater in regions with lower MAT. These results can be used to predict future changes in the temperature response of microbial activity over different levels of warming and over large temperature ranges, extending to tropical regions.


英文关键词bacteria climate warming fungi Q(10) Ratkowsky equation soil carbon cycle tropical forest
领域气候变化 ; 资源环境
收录类别SCI-E
WOS记录号WOS:000459456700005
WOS关键词ORGANIC-MATTER DECOMPOSITION ; FUNGAL GROWTH ; BACTERIAL COMMUNITIES ; CARBON-DIOXIDE ; CO2 EMISSIONS ; RESPIRATION ; FOREST ; SENSITIVITY ; RATES ; DEPENDENCE
WOS类目Biodiversity Conservation ; Ecology ; Environmental Sciences
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/16999
专题气候变化
资源环境科学
作者单位1.Univ Edinburgh, Sch Geosci, Crew Bldg,Kings Bldg, Edinburgh EH9 3FF, Midlothian, Scotland;
2.Smithsonian Trop Res Inst, Balboa 084303092, Ancon, Panama;
3.Lund Univ, Dept Biol, Sect Microbial Ecol, Lund, Sweden;
4.Pontificia Univ Catolica Peru, Inst Ciencias Nat Terr & Energias Renovables, Av Univ 1801, Lima 32, Peru;
5.Australian Natl Univ, Res Sch Biol, Canberra, ACT 2601, Australia
推荐引用方式
GB/T 7714
Nottingham, Andrew T.,Baath, Erland,Reischke, Stephanie,et al. Adaptation of soil microbial growth to temperature: Using a tropical elevation gradient to predict future changes[J]. GLOBAL CHANGE BIOLOGY,2019,25(3):827-838.
APA Nottingham, Andrew T.,Baath, Erland,Reischke, Stephanie,Salinas, Norma,&Meir, Patrick.(2019).Adaptation of soil microbial growth to temperature: Using a tropical elevation gradient to predict future changes.GLOBAL CHANGE BIOLOGY,25(3),827-838.
MLA Nottingham, Andrew T.,et al."Adaptation of soil microbial growth to temperature: Using a tropical elevation gradient to predict future changes".GLOBAL CHANGE BIOLOGY 25.3(2019):827-838.
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