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For the final model of carbon storage estimates, we investigated how the components of carbon storage (population structure, WSG and tree height) interacted to ultimately produce the ecosystem service of carbon storage.
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Global changes in climate, land use, water storage, and population size have made possible the emergence of new vector-borne diseases as well as the resurgence of old ones.
[9, 10, 17] observed a similar trend where after 4 weeks of storage, the population of cowpea weevils (Callosobruchus maculatus) reduced drastically to zero, and it was concluded that oxygen in the system was consumed and carbon dioxide production increased, which eventually killed the insects.
Applying selection after phenotyping requires single individual quantification and storage, because population statistics are necessary to determine which individuals are selected.
In areas where resources are abundant or where there are storage facilities, populations may be more or less stable.
The pseudonymization procedure for German epidemiological cancer registries by Pommerening et al. defines a concept for data flow and storage for population-based cancer registries [ 28].
Species- and sample (i.e. body site -specific site -specificred becaustudy the disferequiredn the microbecauseetween species and bofy sithe, andifferencestinl thet there could be different imicrobiotastorage on populations within these samples.
Inclusion of the new trap allows for storage of a population of ions during the analysis of a previously stored population of ions.
Because of California's seasonal and geographical precipitation patterns, large inter-annual precipitation variability and geographical distribution of population, storage, and conveyance of water play a major role in California water management.
However, unlike carbon storage, WSG and population structure, for areas outside the range of our dataset, a land cover based look-up table was not used as several land cover categories were poorly represented due to the small sample size available (n = 43).
The method described enabled rapid characterisation of the allelic contribution to the total hordein storage protein transcript population during grain development.
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