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Urbanization may threaten multiple ecosystem processes as well as biodiversity in ecological reserves due to the loss, fragmentation and degradation of habitats in unprotected areas, making it necessary to measure the interference effect of urban growth on the protected areas.
Thus, to reach high levels of predictability in modelling multiple ecosystem processes, functional identity and diversity components have to be taken into account in a common framework [54].
Further, by including the eight biodiversity indices, embracing all aspects of taxonomic and functional structure of communities, we built a minimum adequate model that reached an unprecedented level of explanatory power with functional identity and functional diversity together as predictor variables of multiple ecosystem processes.
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The use of TRIs in wildland fire research aid in quantifying and visualizing topographic variability and could be applicable to multiple scales and ecosystem processes.
Disentangling the complex interrelationships among multiple ecosystem services from the driven processes is helpful in lowering the risk of unwanted trade-offs, and taking advantage of synergies.
To link these widely scaled processes, we used biomass (living and dead) as an integrating variable that provides feedbacks between disturbance and ecosystem processes and feedbacks among multiple disturbances.
Our synthesis focuses on managed ecosystems that are dominated by humans and explores how ecological processes affect the tradeoffs and synergies of multiple ecosystem services.
In particular, we examine the coupling processes and balances of water, carbon, and energy fluxes in managed ecosystems that are dominated by people, and explore how these processes affect the tradeoffs and synergies of multiple ecosystem services.
The interactions between the drivers in this experiment emphasize the importance of long-term, whole-ecosystem manipulations of multiple factors for understanding the interactive effects between biotic and abiotic ecosystem processes.
In order to prioritize the biodiversity indices related to ecosystem processes, and to investigate their effects (coefficients), we followed a multiple regression approach.
In an iterative process of co-design and application, we define, map, and quantify multiple ecosystem services under realistic management options.
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