option c.1: (core) species and communities
- Community structure is an emergent property of an ecosystem.
Nature of science:
- Use models as representations of the real world—zones of stress and limits of tolerance graphs are models of the real world that have predictive power and explain community structure. (1.10)
C 1.1 U The distribution of species is affected by limiting factors.
- Define community
- Define abiotic
- Define biotic
- Define limiting factor
- Outline how temperature, water, light, soil pH, salinity and mineral nutrients affect the distribution of plant species
- Outline how temperature, water, breeding sites, food supply and territories affect the distribution of animal specie
C 1.U2 Community structure can be strongly affected by keystone species.
- Describe the importance of keystone species to a community
- List two examples of keystone species
C 1.3 U Each species plays a unique role within a community because of the unique combination of its spatial habitat and interactions with other species.
C 1.U4 Interactions between species in a community can be classified according to their effect.
C 1.U5 Two species cannot survive indefinitely in the same habitat if their niches are identical.
C 1.A1 Distribution of one animal and one plant species to illustrate limits of tolerance and zones of stress.
C 1.A2 Local examples to illustrate the range of ways in which species can interact within a community.
C 1.A3 The symbiotic relationship between Zooxanthellae and reef-building coral reef species.
C 1.S1 Analysis of a data set that illustrates the distinction between fundamental and realized niche.
C 1.S2 Use of a transect to correlate the distribution of plant or animal species with an abiotic variable.
- Outline why sampling must be random.
- Explain methods of random sampling, including the use of a transect
- State the null and alternative hypothesis of the chi-square test of association.
Use a contingency table to complete a chi-square test of association.
In the News
Theory of knowledge:
- Random samples are taken in studies involving large geographical areas or if limited time is available. Is random sampling a useful tool for scientists despite the potential for sampling bias?