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To be useful in a forest and environmental management perspective, monitoring data need to provide conclusive results in terms of forest's status, changes, and their correlates.
To be useful for hazard mitigation, monitoring data need to be available for analysis on the timescales over which hazards manifest (e.g., Loughlin et al., 2015).
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The LUR models, however, have several limitations mainly dealing with extensive monitoring data needs and challenges involved in their broader applicability to other locations.
Lottig et al. ([2014]) analysed over 140 000 Secchi observations from 3251 lakes in the USA and demonstrated that citizen science can provide the critical monitoring data needed to improve spatial and temporal scales.
Better tools to measure these changes and analyze existing environmental monitoring data are needed.
Population monitoring data, however, needs to be considered alongside other evidence about effective intervention approaches to maximize its influence on practice and policy decisions.
Studies with larger sample sizes, controlled designs, and more extensive clinical monitoring data are needed to further assess the appropriateness of using nevirapine and rifampin concomitantly and to define the best time to initiate ART.
These data need to be supplemented in the future with regular monitoring during this critical phase.
Monitoring also provides the data needed to update the models used in decision making.
In this context, nationwide CRM monitoring could provide valuable data needed to effectively support local, regional and national improvement efforts.
Monitoring is essential to provide data needed for a real understanding of socio-economic and ecological functioning in multi-user nature areas.
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