Greening of human-dominated ecosystems in India.

Taejin Park, Murali K Gumma, Weile Wang, Pranay Panjala, Sunil K Dubey, Ramakrishna R Nemani
Author Information
  1. Taejin Park: NASA Ames Research Center, Moffett Field, California USA. ORCID
  2. Murali K Gumma: International Crop Research Institute for Semi-Arid Tropics, Patancheru, Telangana India. ORCID
  3. Weile Wang: NASA Ames Research Center, Moffett Field, California USA.
  4. Pranay Panjala: International Crop Research Institute for Semi-Arid Tropics, Patancheru, Telangana India. ORCID
  5. Sunil K Dubey: Mahabalonis Crop Forecasting Center, Pusa, Delhi, India. ORCID
  6. Ramakrishna R Nemani: NASA Ames Research Center, Moffett Field, California USA.

Abstract

Satellite data show the Earth has been greening and identify croplands in India as one of the most prominent greening hotspots. Though India's agriculture has been dependent on irrigation enhancement to reduce crop water stress and increase production, the spatiotemporal dynamics of how irrigation influenced the satellite observed greenness remains unclear. Here, we use satellite-derived leaf area data and survey-based agricultural statistics together with results from state-of-the-art Land Surface Models (LSM) to investigate the role of irrigation in the greening of India's croplands. We find that satellite observations provide multiple lines of evidence showing strong contributions of irrigation to significant greening during dry season and in drier environments. The national statistics support irrigation-driven yield enhancement and increased dry season cropping intensity. These suggest a continuous shift in India's agriculture toward an irrigation-driven dry season cropping system and confirm the importance of land management in the greening phenomenon. However, the LSMs identify CO fertilization as a primary driver of greening whereas land use and management have marginal impacts on the simulated leaf area changes. This finding urges a closer collaboration of the modeling, Earth observation, and land system science communities to improve representation of land management in the Earth system modeling.

Keywords

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Word Cloud

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