Affiliation:
1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
2. Stanford University
3. Massachusetts Institute Of Technology
4. Princeton University
5. Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
6. Carnegie Institute of Science
7. Aarhus University
Abstract
Abstract
Since the industrial revolution, accelerated atmospheric nitrogen (N) deposition by human activities have increased N availability in forest ecosystems close to human settlements, potentially causing many nitrogen-limited forests to become nitrogen-saturated, with significant effects on productivity, biodiversity, and biogeochemical cycles. Four decades after recognizing the N saturation problem, however, global patterns of N saturation in forests still remain uncertain. In N-saturated forests, oversupply of N leads to higher N losses including those in form of N2O as compared to N-limited forests, suggesting that the sensitivity of soil N2O emission to N deposition (sN) might be used as an indicator of N saturation. In this study, we modeled the sN of global forests using data from N addition experiments. Testing with field observations on N saturation status, the global patterns of N-limited and N-saturated forests indicated by sN show an accuracy above 70% on global and geographic-regional scales. Our results suggest that 43% of global forests are N-saturated, and the proportions of forests being N-saturated are particularly high in East Asia and Western Europe (over 60%). The produced global map of N-saturated forests sheds light on the spatially varying N availability in forests, which founds a basis for predicting the influence of changing N deposition on forest greenhouse gas emissions and productivity, facilitating optimized environmental management practices for different regions.
Publisher
Research Square Platform LLC
Cited by
1 articles.
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