ArticleEcology and evolution2021
Joint control of plant ecological strategy by climate, regeneration mode, and ontogeny in Northeastern Chinese forests.
Article in Ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed.
- Forest Attributes and Soil Moisture Availability Drive Ecosystem Multifunctionality of Forests in Eastern Tibetan Plateau, China.Plants (Basel, Switzerland) · 2026Article
- Intraspecific transitioning of ecological strategies inEcology and evolution · 2024Article
- Trait ecology of startup plants.The New phytologist · 2022Article
- Different responses of growth and physiology to warming and reduced precipitation of two co-existing seedlings in a temperate secondary forest.Frontiers in plant science · 2022Article
- Joint control of plant ecological strategy by climate, regeneration mode, and ontogeny in Northeastern Chinese forests.Ecology and evolution · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Research on how plant ecological strategies (competitive, stress-tolerant, or ruderal) vary within species may improve our understanding of plant and community responses to climate warming and also successional changes. With increasing temperature, the importance of ruderal (R) and stress tolerance (S) components is hypothesized to decrease, while the strength of the competitive (C) component should increase. Offshoots and younger plants are predicted to have greater R and smaller S components.Leaf area, leaf dry matter content, and specific leaf area were measured for 1,344 forest plants belonging to 134 species in Liangshui and Fenglin Nature Reserves in Northeastern China, and C, R, and S scores calculated for each. Linear mixed effect models were used to assess how these indicators differed among study sites (
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Registered trials
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