[NeedAttention]
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
A
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The sinoatrial node consists of modified _______ tissue.
A. nervous B. muscular C. epithelial D. connective E. adipose
Nitrogen fixation is a process that _____
A) recycles nitrogen compounds from dead and decaying materials B) converts ammonia to ammonium C) releases nitrate from the rock substrate D) converts nitrogen gas into ammonia
An oxygen atom in water has two covalent bonds with hydrogen atoms and two unpaired electrons. How many hydrogen bonds can a water molecule form?
A. 4 B. 5 C. 1 D. 3 E. 2
A rancher is suspected of shooting wolves near Yellowstone National Park, and you have been enlisted to go have a chat with him. The rancher doesn't see any benefit to having the wolves there. What do you say?
A. "If there are no predators like wolves, just one pair of jackrabbits can quickly create a population with explosive, logistic growth. Wolves help reduce the fecundity rate, keeping the population at a reasonable level." B. "If there are no predators like wolves, just one pair of jackrabbits can quickly create a metapopulation. Wolves help reduce the biotic potential, keeping the population at a reasonable level." C. "If there are no predators like wolves, just one pair of jackrabbits can quickly create a population with explosive, exponential growth. Wolves help reduce the carrying capacity, keeping the population at a reasonable level." D. "If there are no predators like wolves, just one pair of jackrabbits can quickly create a population with explosive, density-dependent growth. Wolves help reduce the age structure, keeping the population at a reasonable level."