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Several important scientific updates have been made to improve the representation of ecosystem structure and processes from previous versions of CBM-CFS.
However, the existing regional ecosystem health assessment largely ignored either the internal connection of ecosystem health to land use patterns or the internal representation of ecosystem services to ecosystem health.
It provides much needed integration interfaces for both field experimentalists and ecosystem modelers to improve the model's representation of ecosystem processes within the CESM framework without large software overhead.
Our budget (Table 1) is subject to some uncertainties related to simplified representation of ecosystem processes as well as land use dynamics in our modelling study.
Rapport et al. (1998a) provide the clearest representation of ecosystem health as 'changed ecosystem structure and function', using examples of 'decreased biodiversity and resilience, increased disease, change in community structure towards r-selected species, eutrophication', all which suggest negative changes in ecosystem health.
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In recent years, the assessment of ecosystem services (ES) supply has been based on the use of Land Use/Land Cover (LULC) data as proxies for spatial representation of ecosystems.
In fact, a similar ineffectiveness of the existing reserves was found in previous studies using ecosystem-level data across Ecuador (Sierra et al. 2002), species-level data for the equatorial Pacific region (Peralvo et al. 2007), and a combination of the representation of ecosystems and Red List species in the Tropical Andes and Chocó (Sarkar et al. 2009).
Not surprisingly, visual representations of ecosystems are valuable to a diverse set of user groups, including executives who want to understand their firm's competitive landscape, venture capitalists seeking investment opportunities, and policy makers examining innovation dynamics (Basole et al. 2015; Still et al. 2012).
We propose a social ecological framework for the service-based management of agro-ecosystems, specified through an explicit and symmetric representation of the ecosystem and the social system, and the dynamic links between them.
A convenient representation of the ecosystem as a network of flows (matter, energy) is given as fundamental tool from which one can compute the main components of ascendency: size and organization of flows.
Quantifying contributions of known drivers of interannual variability in the growth rate of atmospheric carbon dioxide (CO2) is important for improving the representation of terrestrial ecosystem processes in these ESMs.
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