Language:

Climate fails to predict wood decomposition at regional scales

Nature climate change, 2014-07, Vol.4 (7), p.625-630 [Peer Reviewed Journal]

2015 INIST-CNRS ;Copyright Nature Publishing Group Jul 2014 ;ISSN: 1758-678X ;EISSN: 1758-6798 ;DOI: 10.1038/nclimate2251

Full text available

Citations Cited by

Actions
1. Add to My Research
2. Remove from My Research
3. E-mail
4. Print
5. Permalink
6. Citation
7. EasyBib
8. EndNote
9. RefWorks
10. Delicious
11. Export RIS
12. Export BibTeX

Title:
Climate fails to predict wood decomposition at regional scales
Author: BRADFORD, Mark A ; WARREN, Robert J ; BALDRIAN, Petr ; CROWTHER, Thomas W ; MAYNARD, Daniel S ; OLDFIELD, Emily E ; WIEDER, William R ; WOOD, Stephen A ; KING, Joshua R
Subjects: Animal and plant ecology ; Animal, plant and microbial ecology ; Biological and medical sciences ; Climatology. Bioclimatology. Climate change ; Earth, ocean, space ; Exact sciences and technology ; External geophysics ; Fundamental and applied biological sciences. Psychology ; Meteorology ; Synecology ; Terrestrial ecosystems
Is Part Of: Nature climate change, 2014-07, Vol.4 (7), p.625-630
Description: Decomposition of organic matter strongly influences ecosystem carbon storage. In Earth-system models, climate is a predominant control on the decomposition rates of organic matter. This assumption is based on the mean response of decomposition to climate, yet there is a growing appreciation in other areas of global change science that projections based on mean responses can be irrelevant and misleading. We test whether climate controls on the decomposition rate of dead wood--a carbon stock estimated to represent 73 ± 6 Pg carbon globally--are sensitive to the spatial scale from which they are inferred. We show that the common assumption that climate is a predominant control on decomposition is supported only when local-scale variation is aggregated into mean values. Disaggregated data instead reveal that local-scale factors explain 73% of the variation in wood decomposition, and climate only 28%. Further, the temperature sensitivity of decomposition estimated from local versus mean analyses is 1.3-times greater. Fundamental issues with mean correlations were highlighted decades ago, yet mean climate-decomposition relationships are used to generate simulations that inform management and adaptation under environmental change. Our results suggest that to predict accurately how decomposition will respond to climate change, models must account for local-scale factors that control regional dynamics.
Publisher: London: Nature Publishing Group
Language: English
Identifier: ISSN: 1758-678X
EISSN: 1758-6798
DOI: 10.1038/nclimate2251
Source: ProQuest Central

Back to results list


INSPIRE LIBRARY - TON DUC THANG UNIVERSITY	(84-028) 37 755 057	Feedback
19 Nguyen Huu Tho St. Dist.7, HCM	thuvien@tdtu.edu.vn	Feedback

Climate fails to predict wood decomposition at regional scales

2015 INIST-CNRS ;Copyright Nature Publishing Group Jul 2014 ;ISSN: 1758-678X ;EISSN: 1758-6798 ;DOI: 10.1038/nclimate2251

Searching Remote Databases, Please Wait