Dynamic patterns of nitrogen: Phosphorus ratios in forest soils of China under changing environment. Issue 9 (19th September 2016)
- Record Type:
- Journal Article
- Title:
- Dynamic patterns of nitrogen: Phosphorus ratios in forest soils of China under changing environment. Issue 9 (19th September 2016)
- Main Title:
- Dynamic patterns of nitrogen: Phosphorus ratios in forest soils of China under changing environment
- Authors:
- Chen, Leiyi
Li, Pin
Yang, Yuanhe - Abstract:
- Abstract: Knowledge of nitrogen (N) and phosphorus (P) stoichiometry is essential for understanding biogeochemical cycle and ecosystem functioning. However, large‐scale patterns in soil stoichiometry are not yet fully understood along environmental gradients nor over the temporal scale. Using a comprehensive data set and artificial neural network approach, we evaluated spatial and temporal patterns in topsoil N and P concentrations and N:P ratio across China's forests. Our results revealed that soil weathering stage, climatic factors (i.e., temperature and precipitation), and forest types jointly explained approximately 34.1% and 30.4% of spatial variations in soil N and P, respectively. By contrast, only precipitation could explain the variation in N:P ratio, with soil N:P ratio exhibiting a trend of increase along the precipitation gradient. The observed spatial patterns in soil N:P ratio were consistent with previous findings derived from plants and microbes, suggesting that variation in precipitation may induce the imbalance of N:P stoichiometry in forest ecosystems. Our results also indicated that topsoil N:P ratios exhibited a significant increase from the 1980s to 2000s. However, the associations of N:P dynamics with a single element largely depended on forest type. In evergreen forests, soil N:P dynamics were caused by increasing N and decreasing P. Conversely, N:P changes in deciduous broadleaf forests were triggered only by soil N accumulation. Overall, theseAbstract: Knowledge of nitrogen (N) and phosphorus (P) stoichiometry is essential for understanding biogeochemical cycle and ecosystem functioning. However, large‐scale patterns in soil stoichiometry are not yet fully understood along environmental gradients nor over the temporal scale. Using a comprehensive data set and artificial neural network approach, we evaluated spatial and temporal patterns in topsoil N and P concentrations and N:P ratio across China's forests. Our results revealed that soil weathering stage, climatic factors (i.e., temperature and precipitation), and forest types jointly explained approximately 34.1% and 30.4% of spatial variations in soil N and P, respectively. By contrast, only precipitation could explain the variation in N:P ratio, with soil N:P ratio exhibiting a trend of increase along the precipitation gradient. The observed spatial patterns in soil N:P ratio were consistent with previous findings derived from plants and microbes, suggesting that variation in precipitation may induce the imbalance of N:P stoichiometry in forest ecosystems. Our results also indicated that topsoil N:P ratios exhibited a significant increase from the 1980s to 2000s. However, the associations of N:P dynamics with a single element largely depended on forest type. In evergreen forests, soil N:P dynamics were caused by increasing N and decreasing P. Conversely, N:P changes in deciduous broadleaf forests were triggered only by soil N accumulation. Overall, these results demonstrated a stoichiometric shift in soil N:P both spatially and temporally, implying that nutrient imbalance between soil N and P may be accelerated under global change scenarios. Key Points: Topsoil N:P ratio exhibited systematic changes along precipitation gradients Increased topsoil N:P ratio from 1980s to 2000s Drivers of N:P dynamics differed between southern and northern forests … (more)
- Is Part Of:
- Journal of geophysical research. Volume 121:Issue 9(2016:Sep.)
- Journal:
- Journal of geophysical research
- Issue:
- Volume 121:Issue 9(2016:Sep.)
- Issue Display:
- Volume 121, Issue 9 (2016)
- Year:
- 2016
- Volume:
- 121
- Issue:
- 9
- Issue Sort Value:
- 2016-0121-0009-0000
- Page Start:
- 2410
- Page End:
- 2421
- Publication Date:
- 2016-09-19
- Subjects:
- artificial neural network -- forest ecosystems -- nitrogen‐phosphorus interactions -- nitrogen:phosphorus ratio -- soil inventory -- stoichiometric shift
Geobiology -- Periodicals
Biogeochemistry -- Periodicals
Biotic communities -- Periodicals
Geophysics -- Periodicals
577.14 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2169-8961 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/2016JG003352 ↗
- Languages:
- English
- ISSNs:
- 2169-8953
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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