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Interactive comment on “ Global variability of carbon use efficiency in terrestrial ecosystems ” by Xiaolu Tang
| Content Provider | Semantic Scholar |
|---|---|
| Author | Tang, Xiaolu |
| Copyright Year | 2019 |
| Abstract | Tang et al. investigate the global variation in carbon use efficiency (CUE), a carbon cycle property that is determined by the ratio of net to gross primary production (NPP / GPP), and thus essentially by autotrophic respiration. Based on a collection of in-situ NPP and GPP measurements and climate, vegetation and soil variables, they apply a machine learning algorithm (random forest) to derive a spatial CUE map. Subsequently, spatial gradients in this map are presented and compared to CUE simulated by dynamic global vegetation models. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.biogeosciences-discuss.net/bg-2019-37/bg-2019-37-RC1.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |