Careful observation is something our tūpuna were experts at. Data collected from observations informed them in the care of mahinga kai by making predictions about weather and harvests. As their environment changed due to natural occurrences, the way in which they cared for the environment needed to be modified. The continued careful observations were key to ensuring longevity and health of the taiao and much-needed resources for future generations.
Te Tatauranga o ngā Manu Māra o Aotearoa | New Zealand Garden Bird Survey is the country’s longest-running citizen science project with over 44,000 surveys undertaken by individuals, schools and community groups. All these surveys create a large amount of data.
Research scientist Dr Angela Brandt and her team at Manaaki Whenua – Landcare Research carefully check the survey results to ensure the data they use is as accurate as possible. First, they remove data that is incomplete or has errors. They then consider different variables such as whether birds were being fed or whether the survey was done in an urban or rural area. The team uses supercomputers to help process the large amounts of data they receive.
Once processed, the data is used to produce graphs for the State of NZ Garden Birds report and is uploaded to the Global Biodiversity Information Facility, which can be accessed by researchers all over the world. The information from these reports helps experts see how birds are coping with environmental challenges and what might be done to help them.
Gathering and interpreting data
For information on how to complete the New Zealand Garden Bird Survey, go here.
When doing the survey, tamariki are making and recording observations – they are gathering data. Identifying birds from a distance can be challenging.
How you can support students’ observation skills:
- Help students identify which senses they are using (usually sight) and if any other senses might be useful (possibly hearing).
- Practise making observations and discussing the results.
- Use peer review. When students identify a bird for the survey, their peers could ask what features they used for identification. Was it the colour, feather patterns, behaviour or something else?
- Encourage students to consider how confident they feel about their survey results. How could they feel more confident? Perhaps through practice, using tools like binoculars and identification guides or checking results with others.
Interpreting data involves making meaning from observations. A conclusion drawn from observations is called an inference. Useful questions to distinguish between these concepts:
- What did you see? (observation)
- What might that mean? (inference)
For example, a student might only observe and record one type of bird (observation) and infer that there is only one type of bird in the area (inference).
Using data and interpreting representations
When working as a scientist, we need to ensure that inferences are valid and explanations are robust. To support students with this, ask these questions:
- Could there be another explanation for this data?
- Do you need to collect more data?
It is good to provide opportunities for learners to communicate and debate their ideas with others.
Scientists represent their research in a variety of ways, including models, graphs, charts, diagrams and written texts. The New Zealand Garden Bird Survey uses representations such as barplots and maps to communicate the survey results from the last 5 years and the last 10 years.
To support learners to think about how data is presented, ask these questions:
- What does this representation tell us?
- What is left out?
- How does this representation get the message across?
- Why is it presented in this particular way?
Having students create their own representations can help them understand the choices researchers make when sharing their work.
Comparing data
A great way to get students discussing data is to make comparisons. Here are some examples:
- Ask students to partner up and compare their results from doing the survey, a practice run or from a prepared example. Are the results the same? Can they explain why they might be the same or different?
- Compare individual results to the class, school or regional results from the New Zealand Garden Bird Survey website. Discuss the importance of having multiple surveys completed, identifying patterns and providing possible explanations.
- Compare a particular bird species or connect with a school in another rohe to discuss their results.
The New Zealand Garden Bird Survey results allow comparisons to past years. Asking learners to predict possible future trends can be a useful discussion that may lead to ideas around agency and action. Add ideas about the future to the Ake Ake – forever and ever model.
Use the slideshow below for step-by-step instructions for engaging your class with data from the New Zealand Garden Bird Survey.
Te Tatauranga o ngā Manu Māra o Aotearoa
This article is part of a suite of resources for kaiako and tauira to immerse themselves in learning, understanding and acknowledging the birdlife in our environment. Other resources include:
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Activity ideas
The following activities offer opportunities to make sense of data:
- Reading graphs in science
- Using infographics
- Using weather data
- Interpreting representations using climate data
- Interpreting lake sediment data
When exploring the New Zealand Garden Bird Survey data with your class, consider talking about data sovereignty. Some of the ideas related to data sovereignty are covered in the article ChatGPT and Māori data sovereignty.
Useful links
Results from previous New Zealand Garden Bird Surveys can be found here.
To find out more about what’s happening with garden birds in your region, reports for individual regions are available, or check out the full State of NZ Garden Birds 2023 | Te Āhua o ngā Manu o te Kāri i Aotearoa report.
Acknowledgement
This resource has been produced in collaboration with Manaaki Whenua – Landcare Research and the New Zealand Garden Bird Survey.