The pie chart below shows the main reasons why agricultural land becomes less productive. The table shows how these causes affected three regions of the world during the 1990s.
Summarise the information by selecting and reporting the main features and make comparisons where relevant.
The pie chart gives the three major causes of land degradation around the world and the table compares the percentage of land degraded per cause in North America, Europe and Oceania between 1990 and 1999. These causes are deforestation. over-cultivation and over-grazing.
Overall, the main reason for agricultural land degradation in the world was over-grazing. Moreover, Europe had the highest proportion of land degraded and it was caused mainly by deforestation.
During the 1990s, about 35% of the agricultural land was degraded by over-grazing whereas deforestation accounted for 30% and over-cultivation came in third place, degrading 28% of agricultural land. The remaining 7% of land was degraded by other causes.
Europe and Oceania were damaged the most of the three regions, with around 23% and 13% of the agricultural land being degraded respectively. In Europe, deforestation was the primary cause of land degradation at 9.8% compared to 2% in North America. Over-cultivation was the second largest factor of land degradation in Europe with 7.7%. However, in Oceania, over-cultivation had hardly any influence on the farming land. While over-grazing had a slight impact (1.5%) on agricultural land in North America, it was the major cause of land degradation in Oceania, at 11.3%.
- The three pie charts below show the changes in annual spending by a particular UK school in 1981, 1991 and 2001.summarize the information by selecting and reporting the main features and make comparisons where relevant. 61
- Increasing the price of petrol is the best way to solve growing traffic and pollution problems. To what extent do you agree or disagree? What other measures do you think might be effective? 61
- Nowadays the way many people interact with each other has changed because of technology. In what ways has technology affected the types of relationships people make? Has this become a positive or negative development? 61
- The pie chart below shows the main reasons why agricultural land becomes less productive. The table shows how these causes affected three regions of the world during the 1990s.Summarise the information by selecting and reporting the main features and make 56
- The pie chart below shows the main reasons why agricultural land becomes less productive. The table shows how these causes affected three regions of the world during the 1990s.Summarise the information by selecting and reporting the main features and make 56
Grammar and spelling errors:
Line 1, column 107, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...und the world and the table compares the percentage of land degraded per cause in...
^^
Line 1, column 149, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...percentage of land degraded per cause in North America, Europe and Oceania betwee...
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Line 1, column 240, Rule ID: UPPERCASE_SENTENCE_START
Message: This sentence does not start with an uppercase letter
Suggestion: Over-cultivation
...d 1999. These causes are deforestation. over-cultivation and over-grazing. Overall, the main ...
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Line 3, column 76, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ltural land degradation in the world was over-grazing. Moreover, Europe had the h...
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Line 5, column 66, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...5% of the agricultural land was degraded by over-grazing whereas deforestation...
^^
Line 5, column 70, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...f the agricultural land was degraded by over-grazing whereas deforestation acc...
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Line 5, column 84, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ural land was degraded by over-grazing whereas deforestation accounted for 30%...
^^
Line 5, column 93, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... was degraded by over-grazing whereas deforestation accounted for 30% and over...
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Line 5, column 168, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...nd over-cultivation came in third place, degrading 28% of agricultural land. The ...
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Line 5, column 219, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... 28% of agricultural land. The remaining 7% of land was degraded by other causes....
^^
Line 7, column 68, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...aged the most of the three regions, with around 23% and 13% of the agricultural l...
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Line 7, column 359, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...n Europe with 7.7%. However, in Oceania, over-cultivation had hardly any influe...
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Line 7, column 377, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
.... However, in Oceania, over-cultivation had hardly any influence on the farming ...
^^^
Transition Words or Phrases used:
however, moreover, second, so, third, whereas, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 10.0 7.0 143% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 8.0 6.8 118% => OK
Relative clauses : 0.0 3.15609756098 0% => OK
Pronoun: 3.0 5.60731707317 54% => OK
Preposition: 43.0 33.7804878049 127% => OK
Nominalization: 15.0 3.97073170732 378% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1103.0 965.302439024 114% => OK
No of words: 201.0 196.424390244 102% => OK
Chars per words: 5.48756218905 4.92477711251 111% => OK
Fourth root words length: 3.76529505866 3.73543355544 101% => OK
Word Length SD: 3.37896295609 2.65546596893 127% => OK
Unique words: 99.0 106.607317073 93% => More unique words wanted.
Unique words percentage: 0.492537313433 0.547539520022 90% => More unique words wanted or less content wanted.
syllable_count: 335.7 283.868780488 118% => OK
avg_syllables_per_word: 1.7 1.45097560976 117% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 1.53170731707 131% => OK
Article: 3.0 4.33902439024 69% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 9.0 3.36585365854 267% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 12.0 8.94146341463 134% => OK
Sentence length: 16.0 22.4926829268 71% => The Avg. Sentence Length is relatively short.
Sentence length SD: 55.4653921128 43.030603864 129% => OK
Chars per sentence: 91.9166666667 112.824112599 81% => OK
Words per sentence: 16.75 22.9334400587 73% => OK
Discourse Markers: 4.33333333333 5.23603664747 83% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 13.0 1.69756097561 766% => Less language errors wanted.
Sentences with positive sentiment : 0.0 3.70975609756 0% => More positive sentences wanted.
Sentences with negative sentiment : 9.0 1.13902439024 790% => Less negative sentences wanted.
Sentences with neutral sentiment: 3.0 4.09268292683 73% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.169628349003 0.215688989381 79% => OK
Sentence topic coherence: 0.0841917337692 0.103423049105 81% => OK
Sentence topic coherence SD: 0.0563418313401 0.0843802449381 67% => OK
Paragraph topic coherence: 0.13820161294 0.15604864568 89% => OK
Paragraph topic coherence SD: 0.044696280502 0.0819641961636 55% => OK
Essay readability:
automated_readability_index: 12.8 13.2329268293 97% => OK
flesch_reading_ease: 46.78 61.2550243902 76% => OK
smog_index: 11.2 6.51609756098 172% => OK
flesch_kincaid_grade: 10.7 10.3012195122 104% => OK
coleman_liau_index: 14.27 11.4140731707 125% => OK
dale_chall_readability_score: 7.73 8.06136585366 96% => OK
difficult_words: 42.0 40.7170731707 103% => OK
linsear_write_formula: 10.5 11.4329268293 92% => OK
gunning_fog: 8.4 10.9970731707 76% => OK
text_standard: 11.0 11.0658536585 99% => OK
What are above readability scores?
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Rates: 56.1797752809 out of 100
Scores by essay e-grader: 5.0 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.