Filling key gaps in population and community ecology
By A. Agrawal, David D. Ackerly, F. Adler, A. Arnold, C. Cáceres, D. Doak, E. Post, P. Hudson, J. Maron, Kailen A. Mooney and 6 more. 2007
506 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/39e85949244f7fedd2a8c7cfce81bd652a12d115
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
- Antoine Guisan
- S. Lavorel
- Francesco de Bello
- Loïc Pellissier
- J. Pottier
- Anne Dubuis
- Wilfried Thuiller
- J. Lepš
In Ecology, Evolution, Behavior and Systematics
In Nature and Landscape Conservation
- S. Lavorel
- Francesco de Bello
- Antoine Guisan
- J. Lepš
- Loïc Pellissier
- Wilfried Thuiller
- N. Gross
- J. Pottier
Citations in the corpus
- How to make more out of community data? A conceptual framework and its implementation as models and software. (2017, background): “Modern community ecology is progressing from the description of patterns towards a mechanistic perspective, which seeks to understand the processes determining the identities and abundances of the species from local to global spatiotemporal scales (Agrawal et al. 2007; Logue et al. 2011).”
- Context‐dependent fruit–frugivore interactions: partner identities and spatio‐temporal variations (2013, methodology): “Context dependence of species interactions in terms of both strength and outcome is now recognized as a key area of study for advancing population and community ecology (Agrawal et al. 2007, Holland and DeAngelis 2009).”
- Trait plasticity in species interactions: a driving force of community dynamics (2010, methodology): “The relative simple approach of pair-wise comparisons yields accurate qualitative predictions on the outcome of mesocosm experiments ( Agrawal 2001; Relyea and Yurewicz 2002; Miner et al. 2005), but it may not be that simple to scale it up to communities.”
- Bioengineer effects on understory species richness, diversity, and composition change along an environmental stress gradient: Experimental and mensurative evidence (2013, background): “Mensurative approaches are most useful when they complement and expand on what can reasonably be studied in a manipulative context (Agrawal et al., 2007), which was the case with our work.”
- Trait-Based Approaches in the Analysis of Stream Fish Communities (2010, methodology): “This echoes gaps in ecological knowledge identified by McGill et al. (2006) and recommendations from a National Science Foundation workshop on population and community ecology (Agrawal et al. 2007).”
- Spatial statistics, spatial regression, and graph theory in ecology (2012, background): “Species at all ecological levels of organization (individual, population, community) are affected by the spatial heterogeneity of their respective landscapes (Levin, 1992; Agrawal et al., 2007; Currie, 2007; Hanski and Mononen, 2011).”
- Impacts of insect herbivory on cactus population dynamics: experimental demography across an environmental gradient (2009, unknown): “Key words: cactus-feeding insects; Cahela ponderosella; Chihuahuan Desert, New Mexico, USA; elevation gradient; herbivory; integral projection model; Opuntia imbricata; plant–insect interactions; population dynamics.”
- Linking individual response to biotic interactions with community structure: a trait-based framework (2009, background): “To understand community level consequences of biotic interactions, it is necessary to identify the relative roles of different mechanisms at the individual level and their controlling factors at the community level (Lortie et al. 2004; McGill et al. 2006; Agrawal et al. 2007).”
- Regeneration: an overlooked aspect of trait‐based plant community assembly models (2016, background): “If multiple filters simultaneously constrain regeneration processes, this could result in trait distributions that differ from expectations, especially if interacting abiotic and biotic factors are non-additive (Agrawal et al. 2007; Pakeman et al. 2009).”
- Seed dispersal effectiveness revisited: a conceptual review. (2010, background): “A major goal of ecology is to quantify the effects of species interactions on population dynamics and community structure, and a key knowledge gap is an understanding of how the strengths and signs of species interactions are affected by biotic and abiotic contexts (Agrawal et al., 2007).”