Unraveling meteorological drivers of leaf phenology in the Western Ghats, India

• Tropical semi-evergreen forests show 17-day/decade reduction in growing season length. • NPP declines in semi-evergreen & moist deciduous forests at −4.0 × 10–3 kg C/m2 per year. • Leaf flushing is driven by minimum temperature and humidity. • Maximum temperature and PAR are key factors controlling leaf fall. Phenology, the study of periodic biological events in relation to biotic and abiotic factors, is a critical indicator of ecosystem dynamics, influencing carbon cycling, vegetation productivity, and ecosystem responses to climate change. The current study investigates phenological dynamics and net primary productivity (NPP) trends across tropical forests in the Central Western Ghats, India, emphasizing the role of climatic factors such as temperature, relative humidity, soil moisture, precipitation, and photosynthetically active radiation (PAR). Using satellite-derived MODIS NDVI data and near-surface remote sensing data from PhenoCam, the study shows a significant delay in leaf flushing (7 days/decade) and advancement of leaf fall (13 days/decade) in tropical semi-evergreen forests, which experience a shortened length of seasons by 17 days/ decade. However, the dry deciduous and thorn forests show an increasing season length of 7 days/decade. The climatic variables, such as minimum temperature and relative humidity, drive leaf flushing, while maximum temperature and PAR control leaf senescence in these forest types during a short period of preseason length. The study also shows a closer alignment between MODIS and PhenoCam-derived phenological metrics for the tropical semi-evergreen forests. A declining NPP trend is observed in semi-evergreen and moist deciduous forests (−4.0 × 10 −3 kg C/m 2 . year), contrasting with increases in dry deciduous and thorn forests, with annual temperature significantly controlling NPP trends (r ∼ -0.6, p = 0.001). Additionally, soil moisture shows a positive correlation with NPP in dry forest areas. This is the first comprehensive study from the Central Western Ghats that integrates satellite and near-surface phenological observations with a wide range of climatic variables to examine forest phenology and productivity. The findings offer novel insights into the climate sensitivity of tropical forest ecosystems and provide a valuable scientific basis for climate-resilient forest conservation and management strategies.

Authors

Institutions

Publication Details

Journal
Trees Forests and People
Published
2025-04-18
DOI
https://doi.org/10.1016/j.tfp.2025.100861
Citations
2
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
3.43

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unraveling meteorological drivers of leaf phenology in the Western Ghats, India

Karun Jose, Chandra Prakash Singh, Rajiv Kumar Chaturvedi, Aritra Bandopadhyay et al.
2 citations
Trees Forests and People
Remote Sensing in Agriculture
3.43
article

Unraveling meteorological drivers of leaf phenology in the Western Ghats, India

Karun Jose, Chandra Prakash Singh, Rajiv Kumar Chaturvedi, Aritra Bandopadhyay, Nasla Najeeb
article en
2 citations

Abstract

• Tropical semi-evergreen forests show 17-day/decade reduction in growing season length. • NPP declines in semi-evergreen & moist deciduous forests at −4.0 × 10–3 kg C/m2 per year. • Leaf flushing is driven by minimum temperature and humidity. • Maximum temperature and PAR are key factors controlling leaf fall. Phenology, the study of periodic biological events in relation to biotic and abiotic factors, is a critical indicator of ecosystem dynamics, influencing carbon cycling, vegetation productivity, and ecosystem responses to climate change. The current study investigates phenological dynamics and net primary productivity (NPP) trends across tropical forests in the Central Western Ghats, India, emphasizing the role of climatic factors such as temperature, relative humidity, soil moisture, precipitation, and photosynthetically active radiation (PAR). Using satellite-derived MODIS NDVI data and near-surface remote sensing data from PhenoCam, the study shows a significant delay in leaf flushing (7 days/decade) and advancement of leaf fall (13 days/decade) in tropical semi-evergreen forests, which experience a shortened length of seasons by 17 days/ decade. However, the dry deciduous and thorn forests show an increasing season length of 7 days/decade. The climatic variables, such as minimum temperature and relative humidity, drive leaf flushing, while maximum temperature and PAR control leaf senescence in these forest types during a short period of preseason length. The study also shows a closer alignment between MODIS and PhenoCam-derived phenological metrics for the tropical semi-evergreen forests. A declining NPP trend is observed in semi-evergreen and moist deciduous forests (−4.0 × 10 −3 kg C/m 2 . year), contrasting with increases in dry deciduous and thorn forests, with annual temperature significantly controlling NPP trends (r ∼ -0.6, p = 0.001). Additionally, soil moisture shows a positive correlation with NPP in dry forest areas. This is the first comprehensive study from the Central Western Ghats that integrates satellite and near-surface phenological observations with a wide range of climatic variables to examine forest phenology and productivity. The findings offer novel insights into the climate sensitivity of tropical forest ecosystems and provide a valuable scientific basis for climate-resilient forest conservation and management strategies.

Trees Forests and PeopleVol. 20
Indian Space Research Organisation (IN), Birla Institute of Technology and Science, Pilani - Goa Campus (IN), Birla Institute of Technology and Science, Pilani (IN)
Inspire Foundation, Department of Science and Technology, Ministry of Science and Technology, India
Climate action
Openalex Percentile: Top 9%
Remote Sensing in Agriculture
3.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.