Bar Chart

Band 7+: The charts below show the main sources of funding for wildlife conservation in Africa and South America for the years 2010 and 2020. Summarise the information by selecting and reporting the main features, and make comparisons where relevant.

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Image for topic: The charts below show the main sources of funding for wildlife conservation in Africa and South America for the years 2010 and 2020. Summarise the information by selecting and reporting the main features, and make comparisons where relevant.

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The image presents two bar charts comparing wildlife conservation funding in millions of US dollars across four funding sources in 2010 and 2020. In the top chart, titled 'Wildlife Conservation Funding in Africa (2010 & 2020)', funding values by source for 2010 and 2020 are: Government Grants (2010: 120, 2020: 140), Private Donations (2010: 80, 2020: 110), Corporate Sponsorships (2010: 40, 2020: 50), and Tourism Revenue (2010: 150, 2020: 90). In the bottom chart, titled 'Wildlife Conservation Funding in South America (2010 & 2020)', values for 2010 and 2020 are: Government Grants (2010: 90, 2020: 130), Private Donations (2010: 60, 2020: 80), Corporate Sponsorships (2010: 70, 2020: 90), and Tourism Revenue (2010: 50, 2020: 60).

Given the complexity of the image, the above description may not be entirely accurate.

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The bar charts demonstrate the main sources of funding for African and South American biodiversity for the given years 2010 and 2020.

Overall, tourism revenue donated the most in 2010 for Africa’s wildlife, whereas South America’s government grants dominated in 2020. Additionally, the bar for corporate sponsorship accounted for the least funding in Atrica.

In terms of funding for wildlife in Africa, tourism revenue recorded the highest funding in 2010, at just over 140 million of US dollars; however, by 2020, it decreased significantly to 80 million dollars. In 2020, the grants from the government contained the greatest proportion of fundings, while it was much lower in 2010, at 120 million dollars. Private donations made up much smaller shares, at about 110 million in 2020 and 80 million dollars in 2010. Moreover, corporate sponsorships contributed the least, at nearly

50 and 40 million dollars in 2020 and 2010, respectively.

Regarding South America, in 2010 and 2022, the highest wildlife conservation funding was contributed by government grant, accounting for 90 million in 2010 and approximately 130 million dollars in 2020. 60 million dollars was donated by private donations in 2010 and a similar pattern can be seen for tourism revenue in 2020. In addition, corporate sponsorship represented about 90 million, before accounting for 70 million dollars in 2010.

Word Count: 217

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Overall Band Score

7.5

(+/- 0.5)

Vocabulary Complexity:
C1 - Intricate
Strive to incorporate even richer and more precise language.

Grammar Mistakes: N/A

Vocabulary Repetition:

million: 11

dollars: 7

funding: 5

south: 3

tourism: 3

revenue: 3

wildlife: 3

government: 3

corporate: 3

Try using synonyms for the above words

Task Response

The report effectively addresses the task by presenting an overview and key features of the data, with appropriate comparisons between years and regions. However, there are a few inaccuracies and omissions: the statement about corporate sponsorship being the least in Africa is correct, but the data for tourism revenue in Africa is slightly misreported (150 million in 2010, not 'just over 140'), and the year '2022' is incorrectly mentioned instead of 2020. Additionally, the phrase 'a similar pattern can be seen for tourism revenue in 2020' is vague and could be clarified. To improve, ensure all data points are accurately reported and avoid any ambiguous statements. Overall, the response is well-structured and covers the main trends.

Coherence & Cohesion

The report is generally well-organized with a clear overall statement and logical grouping of information by region. However, there are minor lapses in cohesion, such as the abrupt transition between the two regions and the use of 'Atrica' (a typo) which can momentarily disrupt flow. The paragraphing is adequate, but the second paragraph could be more tightly structured to avoid listing data without clear linking. To improve, ensure each paragraph has a clear topic sentence and use cohesive devices to smoothly connect ideas within and between paragraphs.

Lexical Resource

The report uses a good range of vocabulary appropriate for the task, such as 'demonstrate', 'accounted for', 'contributed', and 'recorded'. There is some repetition (e.g., 'funding' and 'million dollars') and a few awkward phrases like 'the bar for corporate sponsorship accounted for the least funding' and 'the grants from the government contained the greatest proportion of fundings'. To achieve a higher score, aim for more precise and varied lexical choices, and avoid informal or imprecise terms like 'donated the most' (better: 'was the largest source'). Also, ensure correct spelling (e.g., 'Africa' not 'Atrica'). Pay attention to vocabulary repetition to improve the overall score.

Grammatical Range & Accuracy

The report demonstrates a good range of grammatical structures with mostly accurate usage. There are minor errors, such as 'fundings' (should be 'funding') and a slight inconsistency in tense ('can be seen' vs. past tense). The sentence '60 million dollars was donated by private donations in 2010 and a similar pattern can be seen for tourism revenue in 2020' is a bit unclear and could be rephrased for clarity. Overall, grammar is controlled and errors are infrequent, but a few adjustments would enhance accuracy and naturalness.

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