ArticleScientific reports2026
Land surface phenometrics and their responses to climatic variables in the semi-arid rangelands of the central Zagros mountains.
Article in Scientific reports, 2026. 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
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As climate change accelerates, phenological shifts in vulnerable semi-arid ecosystems remain poorly understood yet are of increasingly critical. Identifying the phenological stages of rangeland ecosystems, and quantifying how climate change affects each stage over time, is essential for effective rangeland management. This study aimed to investigate the long-term trends in land surface phenology (LSP) and the impact of climate variations on LSP in the semi-arid rangelands of Chaharmahal-Va-Bakhtiari (CVB) Province, Iran, from 2000 to 2023. Utilizing satellite data from MODIS NDVI, key LSP metrics were analyzed, including the start of the growing season (SOS), peak of the growing season (POS), end of the growing season (EOS), length of the growing season (LOS), and maximum vegetation greenness (maxNDVI). The findings indicate significant shifts: SOS, POS and EOS are occurring earlier, resulting in shorter growing season in many regions. These changes show strong correlations with climatic variables such as precipitation, temperature, and potential evapotranspiration, with temperature exhibiting the most significant relationship to changes in SOS. The Sen’s slope trend analysis showed that 25.74% of the study area experienced advancements in SOS, 23.2% % in POS, and 32.3% in EOS. Additionally, LOS has decreased in 70% of pixels with significant change. This study demonstrates that phenological patterns in the semi-arid rangelands of CVB are shifting in response to climate change. These findings highlight the need to implement adaptive management strategies to maintain the sustainability of these fragile ecosystems.
Indexed as
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.