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At strategic decision-making levels, in turn, it is often difficult to predict impacts with the necessary exactitude.
Combining climate change, crop growth and crop disease models to predict impacts of climate change on crop diseases can guide planning of climate change adaptation strategies to ensure future food security.
Priority areas for future research are: (1) further development of the methodologies used to predict impacts when planning a new facility; (2) assessment of the effectiveness of existing minimization techniques; and (3) identification of new mitigation approaches.
For example, the model can help determine relationships between WSE and habitat opportunity, contrast alternative restoration designs, predict impacts of altered flow regimes, estimate nutrient and biomass fluxes, and provide standardized site comparisons to support effective monitoring of the developmental trajectories of restoration sites.
Apart from providing an improved theoretical and practical basis for forecasting land use impact on biodiversity, results illustrate how specific combinations of plant-based variables might be used to predict impacts on specific animal taxa, functional types and above-ground carbon.
The design of a tool for data collection and exchange of available data also aims to predict impacts of small-scale locally oriented actions by the local administration and residents on incomes and biodiversity, monitor results of the decisions that follow such prediction and inform central policy assessors to enable appropriate tuning of regulatory and fiscal incentives.
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The agency also is continuing impact tests on the reinforced carbon-carbon protective material that was breached on Columbia's wing in order to build computer models that accurately predict impact damage.
As with any product with a reach the size of Uber's, experimentation can seldom entirely predict impact in real use conditions.
Therefore, the objective of CODAC is to provide methodologies which reliably simulate impact events and predict impact damage sizes.
Analytical model based on shock-wave theory is proposed to predict impact response of density-graded cellular rods.
In order to find factors that predict impact on HRQL, stepwise multiple linear regression analyses were carried out.
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