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The total dispersal kernel: a review and future directions.
Haldre S Rogers1, Noelle G Beckman2, Florian Hartig3
1Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, USA.
Understanding the total dispersal kernel (TDK) is key for predicting plant movement and responses to environmental change. This review highlights challenges and advances in characterizing TDKs for better ecological predictions.
Area of Science:
- Ecology
- Plant Biology
- Biogeography
Background:
- Plant distribution and abundance are influenced by seed dispersal, often described by dispersal kernels.
- The total dispersal kernel (TDK) integrates all dispersal vectors affecting plants.
- Understanding TDK is crucial for predicting plant adaptation to environmental changes and population spread.
Purpose of the Study:
- To review existing research on the total dispersal kernel (TDK).
- To discuss advances in empirical, conceptual modeling, and statistical approaches for TDK characterization.
- To identify challenges and propose future directions for TDK research.
Main Methods:
- Literature review of existing research on TDKs.
- Analysis of empirical, conceptual modeling, and statistical approaches.
- Discussion of challenges in measuring and modeling dispersal vectors.
Main Results:
- Few well-characterized TDKs exist due to significant empirical challenges.
- Studies often neglect certain dispersal vectors, long-distance dispersal, and spatial heterogeneity.
- Existing modeling approaches can combine individual kernels but require robust prior information.
Conclusions:
- A modeling cycle integrating empirical data and models is recommended for TDK parameterization.
- The TDK concept should be extended to include establishment and reproductive success (total effective dispersal kernel).
- Further research is needed to overcome empirical challenges and fully characterize TDKs for accurate ecological predictions.
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