explain how the population would respond in the following scenarios. a. The snowy owls' environment has been warming slowly over the last 70 years. The forests do not stay as snow-covered throughout the year. The owls have a harder time hiding from their prey for a few months out of the year. There is a mutation that allows the owls' feathers to change to brown during the warmer months. c. The snowy owls' environment is warming up very quickly and going from very frigid temperatures to very warm. This change is happening so quickly that the snowy owls are too visible to their prey since there is less snow. They have started having a hard time finding food and many are starving. The warmth has also messed up their migration/breeding patterns.

The greater sage grouse is a bird that lives on the Canadian prairies and is considered to be a species at risk. In 2001,  108 male greater sage grouse were counted in breeding sites in Alberta. In 2012, 13 male greater sage grouse were counted in the breeding sites.         The per capita growth rate of the population of greater sage grouse in Alberta between 2001 and 2012 was?   Select one: a.   7.3 b. 0.9 c. -0.9 d. -7.3

https://media.hhmi.org/biointeractive/click/lionfish-invasion/introduction.html This section starts explaining how scientists use the population survey data that are collected to model how the lionfish population changes over time. These models enable scientists to make predictions about population changes, which is an important element of developing plans for managing the lionfish population You'll be using the discrete-time logistic model that is described on this page in future parts of the case study, so make sure to carefully read through the explanation of this mathematical model. Even if you don't have a strong math background, this case study walks through the equation step by step.   6)Which of the following are constant terms in the discrete-time logistic model? choose all that apply a)Nt b)ΔN c)t d)K e)Δt f)rmax,d g)None of these

Use r and/or λ value, to describe the effects of climate change and human activity on mortality of plant and animal species.