The table shows forested land in millions of hectares in different parts of the world.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
You should spend about 20 minutes on this task.
Given is the table demonstrating the data of forest area calculated in millions of hectares in 6 distinctive parts of the world in 1990, 2000 and 2010. Overall, Europe seemed to occupied a vast majority of forest within the 3 years above.
In Africa, Asia and Europe, Asia acquired the lowest amount of forested land in 3 years and stood at 576 million hectares in 1990. After that, the figure fell to 570 in the next 10 years, which was followed by 584 million in the last year. Otherwise, Africa had a much higher start, at 749 million and then decreased to 709 million in 2000. The amount of forest in Africa continued to fall to 691 million in 2005. Remarkably, europe had the highest data among 6 parts of the world, it evolved from 989 mil to nearly a thousand mil within a decade. then in 2005, the figure was over 1000 mil, which was the highest number in the chart.
Regarding the other 3 parts: North and South America and Oceania, Oceania appeared to have the lowest pattern in all 3 years, just under 200 mil. On the contrary, North America beginned at 708 mil in 1990 and then remained the same number of 705 mil in 2000 and 2005. Lastly, South America had the second highest figure just behind europe, and it stood at 946 million hectares in 1990, followed by 904 mil and 882 mil in 2000 and 2005, respectively.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2024-07-08 | hien3112 | 75 | view |
| 2023-03-06 | hyst12 | 84 | view |
| 2023-02-26 | thomasneverseen | view | |
| 2022-11-02 | phuongnguyen1234 | 56 | view |
| 2022-11-02 | phuongnguyen1234 | view |
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Grammar and spelling errors:
Line 4, column 503, Rule ID: CD_NN[1]
Message: Possible agreement error. The noun 'mil' seems to be countable, so consider using: 'mils'.
Suggestion: mils
...parts of the world, it evolved from 989 mil to nearly a thousand mil within a deca...
^^^
Line 4, column 516, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...world, it evolved from 989 mil to nearly a thousand mil within a decade. then in ...
^^
Line 4, column 550, Rule ID: UPPERCASE_SENTENCE_START
Message: This sentence does not start with an uppercase letter
Suggestion: Then
...nearly a thousand mil within a decade. then in 2005, the figure was over 1000 mil, ...
^^^^
Line 4, column 589, Rule ID: CD_NN[1]
Message: Possible agreement error. The noun 'mil' seems to be countable, so consider using: 'mils'.
Suggestion: mils
... then in 2005, the figure was over 1000 mil, which was the highest number in the ch...
^^^
Line 7, column 142, Rule ID: CD_NN[1]
Message: Possible agreement error. The noun 'mil' seems to be countable, so consider using: 'mils'.
Suggestion: mils
... pattern in all 3 years, just under 200 mil. On the contrary, North America beginne...
^^^
Line 7, column 194, Rule ID: CD_NN[1]
Message: Possible agreement error. The noun 'mil' seems to be countable, so consider using: 'mils'.
Suggestion: mils
...contrary, North America beginned at 708 mil in 1990 and then remained the same numb...
^^^
Line 7, column 247, Rule ID: CD_NN[1]
Message: Possible agreement error. The noun 'mil' seems to be countable, so consider using: 'mils'.
Suggestion: mils
...nd then remained the same number of 705 mil in 2000 and 2005. Lastly, South America...
^^^
Line 7, column 403, Rule ID: CD_NN[1]
Message: Possible agreement error. The noun 'mil' seems to be countable, so consider using: 'mils'.
Suggestion: mils
...llion hectares in 1990, followed by 904 mil and 882 mil in 2000 and 2005, respectiv...
^^^
Line 7, column 415, Rule ID: CD_NN[1]
Message: Possible agreement error. The noun 'mil' seems to be countable, so consider using: 'mils'.
Suggestion: mils
...es in 1990, followed by 904 mil and 882 mil in 2000 and 2005, respectively.
^^^
Transition Words or Phrases used:
lastly, regarding, second, so, then, on the contrary
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 4.0 7.0 57% => More to be verbs wanted.
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 11.0 6.8 162% => OK
Relative clauses : 3.0 3.15609756098 95% => OK
Pronoun: 3.0 5.60731707317 54% => OK
Preposition: 50.0 33.7804878049 148% => OK
Nominalization: 0.0 3.97073170732 0% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1092.0 965.302439024 113% => OK
No of words: 244.0 196.424390244 124% => OK
Chars per words: 4.47540983607 4.92477711251 91% => OK
Fourth root words length: 3.95227774224 3.73543355544 106% => OK
Word Length SD: 2.3043722974 2.65546596893 87% => OK
Unique words: 125.0 106.607317073 117% => OK
Unique words percentage: 0.512295081967 0.547539520022 94% => More unique words wanted or less content wanted.
syllable_count: 311.4 283.868780488 110% => OK
avg_syllables_per_word: 1.3 1.45097560976 90% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 3.0 4.33902439024 69% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 1.0 0.482926829268 207% => Less conjunction wanted as sentence beginning.
Preposition: 5.0 3.36585365854 149% => OK
Performance on sentences:
How many sentences: 11.0 8.94146341463 123% => OK
Sentence length: 22.0 22.4926829268 98% => OK
Sentence length SD: 31.2769553167 43.030603864 73% => OK
Chars per sentence: 99.2727272727 112.824112599 88% => OK
Words per sentence: 22.1818181818 22.9334400587 97% => OK
Discourse Markers: 4.72727272727 5.23603664747 90% => OK
Paragraphs: 3.0 3.83414634146 78% => More paragraphs wanted.
Language errors: 9.0 1.69756097561 530% => Less language errors wanted.
Sentences with positive sentiment : 3.0 3.70975609756 81% => OK
Sentences with negative sentiment : 2.0 1.13902439024 176% => OK
Sentences with neutral sentiment: 6.0 4.09268292683 147% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.108257677099 0.215688989381 50% => OK
Sentence topic coherence: 0.0501219628078 0.103423049105 48% => OK
Sentence topic coherence SD: 0.0507231654577 0.0843802449381 60% => OK
Paragraph topic coherence: 0.0911478060731 0.15604864568 58% => OK
Paragraph topic coherence SD: 0.0544614121947 0.0819641961636 66% => OK
Essay readability:
automated_readability_index: 10.8 13.2329268293 82% => Automated_readability_index is low.
flesch_reading_ease: 74.53 61.2550243902 122% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 8.3 10.3012195122 81% => OK
coleman_liau_index: 8.7 11.4140731707 76% => OK
dale_chall_readability_score: 7.58 8.06136585366 94% => OK
difficult_words: 44.0 40.7170731707 108% => OK
linsear_write_formula: 10.5 11.4329268293 92% => OK
gunning_fog: 10.8 10.9970731707 98% => OK
text_standard: 11.0 11.0658536585 99% => OK
What are above readability scores?
---------------------
Rates: 67.4157303371 out of 100
Scores by essay e-grader: 6.0 Out of 9
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.