Ten Suggestions to Strengthen the Science of Ecology

By G. Belovsky, D. Botkin, T. Crowl, K. Cummins, Janet Franklin, Malcolm Hunter, Anthony Joern, David B. Lindenmayer, J. Macmahon, C. Margules and 1 more. 2004

164 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/46cb552c8a1e56b7d18074802c84d9c3605a278c

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Representing general theoretical concepts in structural equation models: the role of composite variables (2008, background): “Several of the recent suggestions for how to advance ecological sciences given by Belovsky et al. (2004), such as a better integration of theory and empirical evidence and the need to study multiple causes simultaneously, are enhanced by SEM.”
Advances in restoration ecology: rising to the challenges of the coming decades (2015, background): “Understanding context dependency will strengthen the science of ecology (Belovsky et al. 2004) but it remains, according to some, the biggest challenge facing ecologists (Tylianakis et al. 2008).”
Conceptual Synthesis in Community Ecology (2010, background): “One motivation was the common criticism that ecologists tend to repeatedly reinvent the wheel: we claim ideas as new that are only subtly distinct, or not distinct at all, from ideas put forth long ago (Lawton 1991; Graham and Dayton 2002; Belovsky et al. 2004).”
Recommendations for Assessing the Effectiveness of Surrogate Species Approaches (2006, background): “This failure to integrate theory and data weakens ecology (Belovsky et al. 2004) and conservation managers cannot afford to do that.”
Resource Heterogeneity Moderates the Biodiversity-Function Relationship in Real World Ecosystems (2008, background): “Ultimately, such polarization is inimical to ecological progress, and full understanding of real world systems and their underlying mechanisms requires a suite of theoretical, empirical, and observational techniques [59].”