{'fraction_non_alphanumeric': 0.023636363636363636, 'fraction_numerical': 0.0, 'mean_word_length': 5.592814371257485, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Identifying Terrestrial Vegetation-Soil Moisture Oscillation from Satellite Observations

Terrestrial vegetation dynamics are important for climate variabilities but the understanding of how the vegetation dynamics respond to climate remains limited - not only because the tightly coupled climate-vegetation system makes it tricky to separate water-associated processes (e.g. precipitation and soil moisture) - but the sparse and uneven observations have made it difficult to quantify such links in a larger spatial view. Here, we relate the global vegetation - soil moisture feedbacks to their oscillation characteristics and interpret it in terms of plant-water functional traits from the satellite-based estimates of surface soil moisture (SSM) and normalized difference vegetation index (NDVI). We map the global vegetation - soil moisture oscillation time scales and investigate the spatial distribution across biomes. Our study gives a global quantification on vegetation-soil moisture dynamics, providing references for comparison related to water-and-plant functions with Earth system models.