Abstract
Spatial and temporal variation in interactions among plants, other species and the abiotic environment create context-dependency in vegetation pattern. We argue that we can enhance understanding of context-dependency by being more explicit about the kinds of direct interactions that occur among more than two living and non-living entities (i. e., third through nth parties) and formalizing how their combinations create context-dependency using simple conceptual models. This general approach can be translated into field studies of context-dependency in communities by combining: progressive sampling of local variation in vegetation pattern that encompasses variation in combinations of direct interactions; spatial and temporal measures of these direct interactions; locally parameterized versions of the conceptual models; and appropriately scaled experiments.
Original language | English |
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Pages (from-to) | 771-776 |
Number of pages | 6 |
Journal | Journal of Vegetation Science |
Volume | 18 |
Issue number | 6 |
DOIs | |
State | Published - Dec 2007 |
Keywords
- Abiotic factor
- Biotic factor
- Competition
- Context-dependency
- Direct interaction
- Ecosystem engineering
- Facilitation
- Indirect effect
- Species interaction