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Significance Biodiversity is driven by complex associations among species, but ecologists often look only at competitive or facilitative interactions either independently or only for few species at a time. Using a large dataset of mountain ecosystems encompassing more than 2,000 species across the globe, we analyze the prevalence and importance of both positive and negative associations among plants. Our findings indicate that facilitation and competition between plant species must be studied together in order to explain biodiversity change.
Biodiversity change, Competitive Behavior, Biodiversity, Plants, Mountain ecosystems, Biodiversity change; Community ecology; Ecological networks; Mountain ecosystems; Plant; Interaction networks, Species Specificity, Ecological networks, biodiversity change; community ecology; ecological networks; mountain ecosystems; plant interaction networks, Community ecology, Plant interaction networks
Biodiversity change, Competitive Behavior, Biodiversity, Plants, Mountain ecosystems, Biodiversity change; Community ecology; Ecological networks; Mountain ecosystems; Plant; Interaction networks, Species Specificity, Ecological networks, biodiversity change; community ecology; ecological networks; mountain ecosystems; plant interaction networks, Community ecology, Plant interaction networks
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 76 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
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