ArticleScientific reports2025
Continuous decline of climate fluctuations in the Kunlun-Pamir Plateau from the perspective of the bioclimatic variables.
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
14 authors.
Funding
Abstract
Understanding the changes in bioclimatic indicators is a prerequisite and foundation for biodiversity simulation and prediction of climate sensitive organisms. However, in high-altitude areas that are extremely sensitive to climate change, the long-term evolution patterns of bioclimatic indicators are still limited in understanding. For this purpose, we selected the Kunlun-Pamir Plateau, an irreplaceable biodiversity hotspot, as the research area, and to analyze the spatiotemporal evolution characteristics of bioclimatic indicators. We employed trend analysis, Empirical Orthogonal Function (EOF), and continuous wavelet analysis to conduct spatiotemporal analysis on 19 bioclimate indicators. We found that (1) Temporally, Mean Diurnal Range, Isothermality, Temperature Seasonality, Temperature Annual Range, Precipitation Seasonality are all trending downward in the time series; Spatially, the trend of change shows spatial variability. Central Kunlun is experiencing the biggest increases in energy factors. A western part of the Kunlun Pamir Plateau exhibits the pronounced rises in water factors. (2) The first two EOFs of 15 bioclimatic variables explained over 50% of the total variance, showing significant variations and spatial heterogeneity. (3) Regarding the periodicity: bioclimatic variables showed no significant periodicity, with the majority of events occurring at irregular intervals of 1-4 years and in different years. These insights enhance our understanding of climate characteristics in the Kunlun-Pamir Plateau, providing valuable input for devising effective biodiversity conservation strategies.
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.