-+Energy+Flow+In+Ecosystems

toc =- food chain= __**Food chains**__ and food webs are representations of the predator-prey relationships between species within an ecosystem or habitat. Every known food chain has a base made of autotrophs, organisms able to manufacture their own food (e.g. plants, chemotrophs). Most food chains are interconnected. Animals typically consume a varied diet and, in turn, serve as food for a variety of other creatures that prey on them. These interconnections create food webs.

media type="youtube" key="TE6wqG4nb3M?fs=1" height="385" width="480" FOOD CHAINS!! The small fish eats the algae. The large fish eats the small fish. The sea lion eats the large fish. The shark eats the sea lion and etc. SEE IT ALL INTERTWINES!

=- food web=

a graphical description of feeding relationships among species within an ecosystem or habitat. (who eats whom) It shows how energy and materials flow through a community of species as a result of these feeding relationships. From season to season, individual organisms grow and pass through their life cycles, changing their own food preferences and their risks of being consumed by other species.

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

=- trophic level=

Trophic levels are the feeding position in a food chain such as **primary producers**, **herbivore**, **primary carnivore**, etc. Green plants form the first trophic level, the **producers**. Herbivores from the second trophic level, while carnivores form the third and the fourth trophic levels.



=- pyramid of energy-= =shows the trophic levels of the environment. only 10% of energy= is absorbed in the next level of the pyramid http://www.youtube.com/watch?v=8T2nEMzk6_E

**- pyramid of biomass** **show how the biomass decreases through the next level, starting at the base**

=- pyramid of numbers= a graphical representation of the number of individuals in each population that is in a food chain