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Among approaches for predicting ecosystem responses, long-term observations and manipulative experiments can be powerful approaches for resolving single-factor and interactive effects of global changes on key metrics such as net primary production (NPP).
Although global changes can alter ecosystem nutrient dynamics indirectly as a result of their effects on plant litter quality, the interactive effects of global changes on plant litter remain largely unexplored in natural communities.
Forecasting the effects of global changes on high altitude ecosystems requires an understanding of the long-term relationships between biota and forcing factors to identify resilience thresholds.
The net effects of global changes are difficult to capture with a single study.
To compare our results to a recent SILAC study looking at the effects of global changes upon deletion of rpd3, over 60% of the proteins quantified in this study map to differentially expressed peptides in that report.
The central parameters representing photosynthetic capacity, including light-saturated net CO2 assimilation rate (Asat), maximum in vivo carboxylation velocity (Vc,max), and maximum rate of electron transport (Jmax) have been used to assess the effects of global changes on the biosphere, although parameters may be altered under different growth conditions [ 26, 27].
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The effects of global change were wrenching.
GCTE3 science seeks to predict the effects of global change on agriculture, forestry and soils.
We suggest that taking them into account could improve the accuracy of predictions regarding the effects of global change.
It may buffer individuals both against short-term environmental fluctuations and long-term effects of global change.
There is significant uncertainty about the effects of global change on the vegetation and animal productivity of pasture and rangeland ecosystems.
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