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Data · dataset · 2025

Centennial-Scale Relative Humidity Reconstruction and Trend Prediction from Pinus massoniana Ring-Widths in the middle Dabie Mountains

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Situated in China’s north–south climatic transition belt, the Dabie Mountains are characterized by high climatic variability and a paucity of long-term meteorological records, severely limiting regional climate change research.

Description

Here we present the tree-ring width reconstruction of relative humidity (RH) for the Dabie Mountains spanning the past 100 years. Multi-taper spectral analysis and CLM ERA-interim 10 cm soil-moisture data were used to examine the periodicity and spatial representativeness of the RH series, while HadISST1 sea-surface temperature data were employed to identify the teleconnection mechanisms driving moisture variability.

On this basis, the SSA-based Caterpillar-SSA v3.40 software was applied to project future RH trends, quantitatively providing the expected range and turning points of regional humidity over the next 15 years. The resulting high-resolution information offers a robust scientific basis for forest management, water-resource allocation, and climate-adaptation strategies in the Dabie Mountains.

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Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.2719810 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
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