Final answer:
To minimize bias in ecological sampling, standardized sampling protocols and random sampling methods must be used to ensure each member of the population has an equal chance of being selected. A larger sample size and critical evaluation of the sampling method are also necessary to obtain reliable results.
Step-by-step explanation:
The question asks about strategies to minimize bias in ecological sampling. Among the options provided, the strategy to minimize bias is to implement standardized sampling protocols (Option C). Random sampling is essential to ensure that each member of a population has an equal chance of being included in a sample. Large samples are actively encouraged to reduce chance error and better represent the population. However, even large samples can be biased if the sampling method is flawed. For example, convenience sampling is often flawed because it does not select participants randomly and could lead to misleading results about the population. Therefore, a critical evaluation of the sampling method is necessary to ensure reliable and valid results, and strategies such as random, stratified, cluster, and systematic sampling should be considered to produce an unbiased sample.
In ecological sampling, strategies for minimizing bias include implementing standardized sampling protocols and selecting samples at random without considering bias. Increasing bias or ignoring bias can lead to inaccurate or misleading results. By using standardized protocols and randomly selecting samples, researchers can ensure that each member of the population has an equally likely chance of being chosen, reducing the chances of bias and drawing incorrect conclusions about the population being studied.