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We argue that delving into the long-term history of a system by compiling research from multiple disciplines helps ecologists to understand the key drivers of ecosystem structure and dynamics, including the role of humans.
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The annual flood cycle is an important driver of ecosystem structure and function in large tropical rivers such as the Amazon.
Heuristic models provide a means by which to integrate understanding of ecosystem structure, composition, and function, in the midst of numerous ecosystem drivers.
Using this unique dataset, we aim at deciphering the endogenous (forest structure and composition) and exogenous (local environment and climate stress) drivers of ecosystem recovery in time.
An understanding of the patterns, interactions, and drivers of ecosystem services is essential for the ecosystem management and guiding targeted land use policy-making.
These demands have been considered important drivers of ecosystem degradation and biodiversity loss.
Most frameworks (68%) include some determinants or drivers of ecosystem health (or ecosystems more generally), with 13 (15%) depicting them strongly.
The frameworks themselves (i.e. in diagrammatic form) are presented in Appendix 2. The frameworks were examined with respect to seven key features: (i) human health; (ii) ecosystem health; (iii) determinants or drivers of human health; (iv) determinants or drivers of ecosystem health; (v) feedback mechanisms (between ecosystem and human health); (vi) time; and (vii) space.
Rather, they suggest that, except at the extreme low end of species richness gradients, the taxonomic structure of ecological communities is no longer the main driver of ecosystem processes, with the functional structure being the primary determinant.
In temperate coastal ecosystems, tide is the main driver of ecosystem dynamics.
Land use and cover (LUC) change is a major driver of ecosystem service loss worldwide.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com