ArticleEcology and evolution2019
How do trees respond to species mixing in experimental compared to observational studies?
Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Multiyear Drought Strengthens Positive and Negative Functional Diversity Effects on Tree Growth Response.Global change biology · 2025Article
- Functional diversity effects on productivity increase with age in a forest biodiversity experiment.Nature ecology & evolution · 2021Article
- How do trees respond to species mixing in experimental compared to observational studies?Ecology and evolution · 2019Article
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Authors and funding
31 authors.
Funding
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Abstract
For decades, ecologists have investigated the effects of tree species diversity on tree productivity at different scales and with different approaches ranging from observational to experimental study designs. Using data from five European national forest inventories (16,773 plots), six tree species diversity experiments (584 plots), and six networks of comparative plots (169 plots), we tested whether tree species growth responses to species mixing are consistent and therefore transferrable between those different research approaches. Our results confirm the general positive effect of tree species mixing on species growth (16% on average) but we found no consistency in species-specific responses to mixing between any of the three approaches, even after restricting comparisons to only those plots that shared similar mixtures compositions and forest types. These findings highlight the necessity to consider results from different research approaches when selecting species mixtures that should maximize positive forest biodiversity and functioning relationships.
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