Climate drivers of the variations of vegetation productivity in India
Dados Bibliográficos
| ID | 15544161 |
|---|---|
| Autores | Akash Verma (0000-0002-8601-9778, Indian Institute of Technology Bombay), Vikram Chandel (0000-0003-1991-5596, Indian Institute of Technology Bombay), Subimal Ghosh (0000-0002-5722-1440, Indian Institute of Technology Bombay, autor correspondente) |
| Ano | 2022 |
| Volume | 17 |
| Fascículo | 8 |
| Páginas | 084023-084023 |
| Data de publicação | 2022-06-28 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Environmental Research Letters (JOURNAL) |
| Identificadores do periódico | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Editora | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/ac7c7f |
| OpenAlex | W4283705056 |
| Idioma | EN |
| Citações recebidas | 2 |
| Referências citadas | 26 |
Variations in the uptake of atmospheric carbon by vegetation over India, the second-highest contributor to global greening, have enormous implications for climate change mitigation. Global studies conclude that temperature and total water storage (TWS) cause interannual variations of carbon uptake based on the correlation coefficient, which is not a causality measure. Here, we apply a statistically rigorous causality approach, Peter Clark momentary conditional independence, to the monthly observed satellite and station-based gridded dataset of India’s climate and carbon uptake variables. We find no existence of causal connections from TWS to gross primary production (GPP) or net photosynthesis (PSN). Causal relationships exist from precipitation to GPP and PSN. Since shallow-rooted croplands dominate India’s green cover, impacts of precipitation on carbon capture of the the land ecosystem are immediate and not via TWS. Our results identify the key climate drivers of GPP/PSN variability and highlight interactions between water and the carbon cycle in India. Our results also highlight the need for formal causal analysis using climate and earth sciences observations rather than the conventional practices of inferring causality from correlations
Atmospheric sciences · Carbon cycle · Climate change · Climatology · Ecosystem · Geography · Greening · Land cover · Land use · Meteorology · Precipitation · Primary production · Productivity · Vegetation (pathology · Atmospheric and Environmental Gas Dynamics · Climate variability and models · Environmental Science · Plant Water Relations and Carbon Dynamics · Ecology
The Direction of Time
Development of a new high spatial resolution (0.25° × 0.25°) long period (1901-2010) daily gridded rainfall data set over India and its comparison with existing data sets over the region
Detecting Causality in Complex Ecosystems
Investigating Causal Relations by Econometric Models and Cross-spectral Methods
China and India lead in greening of the world through land-use management
| Obras citantes distintas | 2 |
|---|---|
| Citações por ano | 0,67 |
| Intervalo de citações | 2023 - 2023 (1) |
| Velocidade de citação | historical |
| Altamente citado | Não |
| Tipos de citação | Neutras: 2 |