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 illustrates the major causes of land degradation around the world and the table compares the influence of these causes on North America, Europe and Oceania between 1990 and 1999.
Overall, the main reason for agricultural land degradation in the world was the over-grazing of cattle. 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 deteriorated by the over-grazing activities whereas the land degradation resulted from deforestation accounted for 30%. While over-cultivation stood at the third rank as a cause of degrading 28% of agricultural land, about 7% of land was degraded by other causes.
Europe and Oceania were damaged the most of the three regions, degrading around 23% and 13% of the agricultural land 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, the over-cultivation hardly caused 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 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
- 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 diagrams below show the stages and equipment used in the cement-making process, and how cement is used to produce concrete for building purposes. 73
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 : 8.0 7.0 114% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 6.0 6.8 88% => OK
Relative clauses : 0.0 3.15609756098 0% => OK
Pronoun: 3.0 5.60731707317 54% => OK
Preposition: 44.0 33.7804878049 130% => 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: 1098.0 965.302439024 114% => OK
No of words: 204.0 196.424390244 104% => OK
Chars per words: 5.38235294118 4.92477711251 109% => OK
Fourth root words length: 3.77926670891 3.73543355544 101% => OK
Word Length SD: 3.27492072096 2.65546596893 123% => OK
Unique words: 100.0 106.607317073 94% => More unique words wanted.
Unique words percentage: 0.490196078431 0.547539520022 90% => More unique words wanted or less content wanted.
syllable_count: 334.8 283.868780488 118% => OK
avg_syllables_per_word: 1.6 1.45097560976 110% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 1.53170731707 65% => OK
Article: 3.0 4.33902439024 69% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 7.0 3.36585365854 208% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 10.0 8.94146341463 112% => OK
Sentence length: 20.0 22.4926829268 89% => OK
Sentence length SD: 34.3592782229 43.030603864 80% => OK
Chars per sentence: 109.8 112.824112599 97% => OK
Words per sentence: 20.4 22.9334400587 89% => OK
Discourse Markers: 5.2 5.23603664747 99% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
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: 1.0 4.09268292683 24% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.177672681239 0.215688989381 82% => OK
Sentence topic coherence: 0.0959028093894 0.103423049105 93% => OK
Sentence topic coherence SD: 0.0465623239571 0.0843802449381 55% => OK
Paragraph topic coherence: 0.142437673452 0.15604864568 91% => OK
Paragraph topic coherence SD: 0.0373182196512 0.0819641961636 46% => 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: 14.1 13.2329268293 107% => OK
flesch_reading_ease: 51.18 61.2550243902 84% => OK
smog_index: 11.2 6.51609756098 172% => OK
flesch_kincaid_grade: 11.1 10.3012195122 108% => OK
coleman_liau_index: 13.92 11.4140731707 122% => OK
dale_chall_readability_score: 7.96 8.06136585366 99% => OK
difficult_words: 43.0 40.7170731707 106% => OK
linsear_write_formula: 13.0 11.4329268293 114% => OK
gunning_fog: 10.0 10.9970731707 91% => OK
text_standard: 14.0 11.0658536585 127% => 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.