Evidence map›Paper›PMID 42040290›Full record

ArticleFrontiers in plant science2026

Divergent climate-growth responses in radial growth of Chinese pine forests with varying health conditions in the semi-arid Loess Plateau, China.

Li Hongyi, Li Xuchun, Yu Haixia, Zhang Qindi, Li Zongshan

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Li HongyiSoil and Water Conservation Scientific Research Institute of Dingxi City, Dingxi, Gansu, China.
Li XuchunSoil and Water Conservation Scientific Research Institute of Dingxi City, Dingxi, Gansu, China.
Yu HaixiaSoil and Water Conservation Scientific Research Institute of Dingxi City, Dingxi, Gansu, China.
Zhang QindiCollege of Life Sciences, Shanxi Normal University, Taiyuan, China.
Li ZongshanState Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Global climate change-induced extreme drought has triggered widespread forest growth decline and tree mortality worldwide, making the processes of forest decline and their responses to environmental conditions a major research focus. In the Longtan Catchment of the Loess Plateau, Chinese pine ( Methods: We developed tree-ring width chronologies for Chinese pine plantations representing five distinct health conditions: healthy, relatively healthy, slightly declining, moderately declining, and severely declining. Standard dendrochronological techniques were employed to compare growth rates, chronology statistical quality, and the sensitivity of radial growth to climate variables during both the growing and non-growing seasons. Results: The results showed that the healthy chronology exhibited a clear increasing trend in growth rate over time and relatively high statistical quality. In contrast, declining chronologies showed no evident long-term increase in growth rate and were characterized by lower chronology quality. Regarding climate responses, the strength of climate signals during the growing season decreased progressively with increasing decline severity. While healthy trees displayed strong positive correlations with climate variables, these relationships weakened and shifted toward negative associations in the moderately and severely declining stages. Similarly, positive climate signals in the non-growing season declined markedly along the health gradient, weakening substantially in the severely declining stage. Discussion: These findings deepen our understanding of growth decline and its environmental drivers in the Loess Plateau. The health-dependent sensitivity shifts identify a critical window for proactive intervention. Our study suggests that early detection and timely density regulation, such as thinning during mild-to-moderate decline, are essential. Furthermore, management strategies should prioritize conserving non-growing-season water-especially spring moisture-to mitigate the risk of severe forest decline and support sustainable ecological restoration.

Indexed as

Chinese pine plantationsdrought stressgrowth declinesemi-arid regionthe Loess Plateautree rings

Identifiers

PMID42040290
PMCPMC13106197

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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.