2007
Agrawal, A.; Ackerly, D. D.; Adler, F.; Arnold, B.; Caceres, C.; Doak, D. F.; Post, E.; Hudson, P.; Maron, J.; Mooney, K. A.; Power, M. E.; Schemske, D.; Stachowicz, J.; Strauss, S.; Turner, M. G.; Werner, E.
Filling key gaps in population and community ecology Journal Article
In: Frontiers in Ecology and the Environment, vol. 5, no. 3, pp. 145-152, 2007.
Abstract | Links | BibTeX | Tags: community, ecology, stable isotope
@article{Agrawal2007,
title = {Filling key gaps in population and community ecology},
author = {A. Agrawal and D. D. Ackerly and F. Adler and B. Arnold and C. Caceres and D. F. Doak and E. Post and P. Hudson and J. Maron and K. A. Mooney and M. E. Power and D. Schemske and J. Stachowicz and S. Strauss and M. G. Turner and E. Werner},
url = {https://angelo.berkeley.edu/wp-content/uploads/sites/59/Agrawal_2007_FrontEcologyEnv.pdf},
doi = {10.1890/1540-9295(2007)5[145:FKGIPA]2.0.CO;2},
year = {2007},
date = {2007-04-01},
journal = {Frontiers in Ecology and the Environment},
volume = {5},
number = {3},
pages = {145-152},
abstract = {We propose research to fill key gaps in the areas of population and community ecology, based on a National Science Foundation workshop identifying funding priorities for the next 5–10 years. Our vision for the near future of ecology focuses on three core areas: predicting the strength and context-dependence of species interactions across multiple scales; identifying the importance of feedbacks from individual interactions to ecosystem dynamics; and linking pattern with process to understand species coexistence. We outline a combination of theory development and explicit, realistic tests of hypotheses needed to advance population and community ecology.},
keywords = {community, ecology, stable isotope},
pubstate = {published},
tppubtype = {article}
}
We propose research to fill key gaps in the areas of population and community ecology, based on a National Science Foundation workshop identifying funding priorities for the next 5–10 years. Our vision for the near future of ecology focuses on three core areas: predicting the strength and context-dependence of species interactions across multiple scales; identifying the importance of feedbacks from individual interactions to ecosystem dynamics; and linking pattern with process to understand species coexistence. We outline a combination of theory development and explicit, realistic tests of hypotheses needed to advance population and community ecology.
2003
Levine, Jonathan M.
A patch modeling approach to the community-level consequences of directional dispersal Journal Article
In: Ecology, vol. 84, no. 5, pp. 1215-1224, 2003.
Abstract | Links | BibTeX | Tags: coexistence, community, directional dispersal, disturbance, patch model, river, species diversity
@article{Levine2003b,
title = {A patch modeling approach to the community-level consequences of directional dispersal},
author = {Jonathan M. Levine},
url = {https://angelo.berkeley.edu/wp-content/uploads/sites/59/A-PATCH-MODELING-APPROACH-TO-THE-COMMUNITY-LEVEL-CONSEQUENCES-OF-DIRECTIONAL-DISPERSAL_Levine_2003.pdf},
doi = {http://dx.doi.org/10.1890/0012-9658(2003)084[1215:APMATT]2.0.CO;2},
year = {2003},
date = {2003-05-00},
journal = {Ecology},
volume = {84},
number = {5},
pages = {1215-1224},
abstract = {Although plants and other sessile organisms often disperse in a prevailing direction, the ecological consequences of this are poorly understood. To explore patterns of plant diversity similar to those found in a California river system, I modeled perennial plant populations and communities occurring in a linear series of neighborhoods connected by dispersal, where dispersal occurs in a prevailing downstream direction. Simulations demonstrated that population size and species diversity correlated with dispersal and increased downstream, but only if fecundity and death rates were such that neighborhoods within the system depended on external propagule input for their persistence. Highly effective downstream dispersal and some upstream dispersal were also required. If these demographic and dispersal criteria were met, communities with intense competition and inhibition still developed downstream increases in diversity. Additionally, in such systems, directional dispersal could favor species coexistence since upstream neighborhoods provided a refuge for inferior competitors. The demographic and dispersal criteria were relaxed for systems recovering from scattered source populations following disturbance. I conclude that directional dispersal may be a key determinant of species coexistence and patterns of diversity in severely propagule-limited systems.},
keywords = {coexistence, community, directional dispersal, disturbance, patch model, river, species diversity},
pubstate = {published},
tppubtype = {article}
}
Although plants and other sessile organisms often disperse in a prevailing direction, the ecological consequences of this are poorly understood. To explore patterns of plant diversity similar to those found in a California river system, I modeled perennial plant populations and communities occurring in a linear series of neighborhoods connected by dispersal, where dispersal occurs in a prevailing downstream direction. Simulations demonstrated that population size and species diversity correlated with dispersal and increased downstream, but only if fecundity and death rates were such that neighborhoods within the system depended on external propagule input for their persistence. Highly effective downstream dispersal and some upstream dispersal were also required. If these demographic and dispersal criteria were met, communities with intense competition and inhibition still developed downstream increases in diversity. Additionally, in such systems, directional dispersal could favor species coexistence since upstream neighborhoods provided a refuge for inferior competitors. The demographic and dispersal criteria were relaxed for systems recovering from scattered source populations following disturbance. I conclude that directional dispersal may be a key determinant of species coexistence and patterns of diversity in severely propagule-limited systems.