Environmental research and data collection

Strictly follows the A-level Cambridge Environmental management new syllabus for examinations from 2022. A great resource for both teachers and students- a remedy since Cambridge has no resource yet for this syllabus. It is also useful for any environmental studies, Biology and even Geography at all levels. This resource covers-
The scientific method
Formulate hypotheses
Characteristics of Hypothesis
Design investigations in which variables are controlled and quantitative results are collected
dependent and independent variable
Interpret data to determine whether they support or refute the hypothesis being tested
Explain how limitations in the measurement of data lead to uncertainty in the results
understanding that a hypothesis that is consistently supported by investigation and observation can become a theory
Environmental research in the context of climate change
reliable and bias
how historical data have developed
how bias has led to the misuse of scientific data
how unreliable data has led to false reporting of scientific conclusions
Collection of environmental data
Sampling strategies
how random sampling and systematic sampling strategies aim to ensure samples are well distributed with a low risk of bias
factors influencing the suitability of random sampling or systematic sampling strategies for different studies
techniques used to collect sample data
Quadrats (open frame
Grid and point)
Pitfall traps
Sweep nets
Beating tray
kick sampling
Light traps
Capture-mark-recapture
water turbidity
Questionnaires
Interviews
benefits and limitations of each sampling technique listed
population size using the Lincoln index
biodiversity using the Simpson’s index of diversity
abundance using quadrat data
The use of technology in data collection and analysis
Remote sensing
Radio tracking
Computational Modeling
What Is Crowdsourcing?
‘big data’
Big data challenges
benefits and limitations of the analysis of big data