Evidence map›Paper›PMID 42169709›Full record

ArticleForestry research2026

Divergent responses of leaf traits to latitudinal gradients in natural and planted forests.

Jianxiao Su, Jiali Xu, Mengyao Yu, Jie Gao

Abstract read
In one paragraph

Article in Forestry research, 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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1 · What the graph read from it

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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

4 authors.

Jianxiao SuKey Laboratory for the Conservation and Regulation Biology of Species in Special Environments, College of life science, Xinjiang Normal University, Urumqi 830054, China.ORCID 0009-0001-2397-2879
Jiali XuKey Laboratory for the Conservation and Regulation Biology of Species in Special Environments, College of life science, Xinjiang Normal University, Urumqi 830054, China.
Mengyao YuKey Laboratory for the Conservation and Regulation Biology of Species in Special Environments, College of life science, Xinjiang Normal University, Urumqi 830054, China.
Jie GaoKey Laboratory for the Conservation and Regulation Biology of Species in Special Environments, College of life science, Xinjiang Normal University, Urumqi 830054, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leaf functional traits are key indicators of plant resource use and environmental adaptation, playing a crucial role in regulating carbon cycling and ecosystem stability. However, how leaf traits respond to latitudinal gradients in natural and planted forests remains insufficiently understood. Based on 482 forest plots across China (105 natural and 377 planted forests) surveyed from 2008 to 2020, latitudinal variation in specific leaf area (SLA), leaf dry matter content (LDMC), leaf nitrogen (LN), and leaf phosphorus (LP) were examined using quadratic polynomial fitting, variance partitioning, CatBoost analysis, and structural equation modeling (SEM). Natural and planted forests exhibited marked structural differences: natural forests had higher species richness and high stand diversity, whereas planted forests were structurally simplified, younger, and strongly shaped by management. Planted forests showed pronounced non-monotonic variation along latitude, with SLA and LP peaking at mid-latitudes, whereas natural forests exhibited weaker and more gradual latitudinal changes. Climatic and soil factors jointly dominated trait variation in natural forests, while latitude and stand structure were the primary determinants in planted forests. SEM further revealed that latitude affected leaf traits through indirect pathways mediated by climate, soil, and stand factors, with opposite effects between forest types. Natural forests showed consistent and climate-dominated trait responses, with soil properties mediating these effects in predictable ways, reflecting long-term environmental filtering. In contrast, planted forests exhibited greater short-term environmental plasticity. These findings highlight divergent mechanisms of trait-environment relationships between natural and planted forests and underscore the importance of integrating stand structure and climate matching in planted forests management to enhance ecological resilience and carbon sequestration under global change.

Indexed as

Climate–soil–forest interactionsLatitudinal gradientLeaf functional traitsPlanted forest vs natural forestResource utilization strategyTrait–environment coupling

Identifiers

PMID42169709
PMCPMC13187777

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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.