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.
The table summary demonstrates proportion of land used for forest in various areas of the globe.
Of the data gathered, the most forest area was in Europe with amount of arround 1000 millions ha, followed by South America in the second position with arround 900 millons ha. By contrast, the lowest position belongs to Ocenia with figures less than 200 million ha. Other areas contain Africa, Asia, North and South America.
Some countries illustrates the decrease trend over 15 years. Africa started at 749 mils in 1990 and dramatically dropped to 691 mils in 2005. It’s the same as South America, 2005’s figures declined signficalty 65 mils ha compared to 1990. 2 other countries share the same slight fall are North America and Occenia. The amount in 2005 in North America and Occenia are 705 and 197 consequently, versus 708 and 199 in 15 years ago.
Conversely, both countries seeing the upward trend in ha of forest area are Asia and Europe. Asia’s number rised from 576 to 584, and Europe’s figures moved up from 989 to 1001 in 15 years.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2023-03-06 | hyst12 | 84 | view |
| 2023-02-26 | thomasneverseen | view | |
| 2022-11-02 | phuongnguyen1234 | 56 | view |
| 2022-11-02 | phuongnguyen1234 | view | |
| 2022-11-02 | phuongnguyen1234 | 56 | view |
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Grammar and spelling errors:
Line 3, column 16, Rule ID: AGREEMENT_SENT_START[1]
Message: You should probably use 'illustrate'.
Suggestion: illustrate
...orth and South America. Some countries illustrates the decrease trend over 15 years. Afric...
^^^^^^^^^^^
Line 3, column 429, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ly, versus 708 and 199 in 15 years ago. Conversely, both countries seeing the up...
^^^
Transition Words or Phrases used:
consequently, conversely, second, so
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 : 8.0 6.8 118% => OK
Relative clauses : 0.0 3.15609756098 0% => OK
Pronoun: 1.0 5.60731707317 18% => OK
Preposition: 30.0 33.7804878049 89% => OK
Nominalization: 3.0 3.97073170732 76% => OK
Performance on vocabulary words:
No of characters: 876.0 965.302439024 91% => OK
No of words: 181.0 196.424390244 92% => More content wanted.
Chars per words: 4.83977900552 4.92477711251 98% => OK
Fourth root words length: 3.66791821706 3.73543355544 98% => OK
Word Length SD: 2.42846433536 2.65546596893 91% => OK
Unique words: 114.0 106.607317073 107% => OK
Unique words percentage: 0.629834254144 0.547539520022 115% => OK
syllable_count: 252.0 283.868780488 89% => OK
avg_syllables_per_word: 1.4 1.45097560976 96% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 4.0 4.33902439024 92% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 1.0 0.482926829268 207% => Less conjunction wanted as sentence beginning.
Preposition: 2.0 3.36585365854 59% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 11.0 8.94146341463 123% => OK
Sentence length: 16.0 22.4926829268 71% => The Avg. Sentence Length is relatively short.
Sentence length SD: 30.20316879 43.030603864 70% => OK
Chars per sentence: 79.6363636364 112.824112599 71% => OK
Words per sentence: 16.4545454545 22.9334400587 72% => OK
Discourse Markers: 3.27272727273 5.23603664747 63% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 2.0 1.69756097561 118% => OK
Sentences with positive sentiment : 5.0 3.70975609756 135% => OK
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 5.0 4.09268292683 122% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.0435493174872 0.215688989381 20% => OK
Sentence topic coherence: 0.0176616171632 0.103423049105 17% => OK
Sentence topic coherence SD: 0.0289699156628 0.0843802449381 34% => Sentences are similar to each other.
Paragraph topic coherence: 0.0381540414273 0.15604864568 24% => OK
Paragraph topic coherence SD: 0.0366553994215 0.0819641961636 45% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 9.6 13.2329268293 73% => Automated_readability_index is low.
flesch_reading_ease: 72.16 61.2550243902 118% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 7.2 10.3012195122 70% => OK
coleman_liau_index: 10.5 11.4140731707 92% => OK
dale_chall_readability_score: 8.53 8.06136585366 106% => OK
difficult_words: 47.0 40.7170731707 115% => OK
linsear_write_formula: 7.0 11.4329268293 61% => OK
gunning_fog: 8.4 10.9970731707 76% => OK
text_standard: 9.0 11.0658536585 81% => OK
What are above readability scores?
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It is not exactly right on the topic in the view of e-grader. Maybe there is a wrong essay topic.
Rates: 11.2359550562 out of 100
Scores by essay e-grader: 1.0 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.