ArticleScientific reports2025
Synergistic analysis of climate and anthropogenic impacts on NPP dynamics in India's Western Ghats using geodetector.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The importance of integrating climate resilience into conservation efforts to safeguard the Western Ghats, one of the hottest hotspots in the world, is underscored by our findings. The research was designed to provide an integrated approach to help preserve the ecological productivity in a biodiversity sensitive area. The study investigates the dynamics of terrestrial productivity, examining its trends over time (2001-2023) and identifying the various factors that influence it, a topic that has been understudied in this biodiversity hotspot. In 2019, Net Primary Productivity (NPP) results experienced significant declines across all land cover types, with the decline starting in 2015 when forest NPP dropped by 0.24 and cropland by 0.1 kg C m[Formula: see text] year[Formula: see text]. The NPP steadily recovered the following year, especially in the croplands. The factor detector q value indicated the degree of influence of each factor as vegetation parameters ([Formula: see text]), climatic indicators ([Formula: see text]), anthropogenic factor ([Formula: see text]), and topographic condition ([Formula: see text]). Results from the innovative approach to assess spatial heterogeneity emphasize the influence of the combinations of Land Use Land Cover (LULC) with Fraction of Photosynthetically Active Radiation (FPAR), Leaf Area Index (LAI), Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), and Enhanced Vegetation Index (EVI), followed by LST interacting with FPAR, and NDVI with LAI, had the greatest impact on NPP. The study employs multiple regression to evaluate the effects of variables, the Mann-Kendall method for trend analysis, and Geo-detector for spatial variation.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.