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.

This
pie chart illustrates that agricultural land has produced few amounts of produce for several main reasons. The table graph depicts different processes that affect three continents (North America, Europe and
Oceania
). It is clear from the data that over-grazing has the highest proportion among other causes.
In addition
, over-grazing in
Oceania
has been calculated to be the hugest which is 11.3 per cent.
According to
what is shown, there is a slight difference between deforestation, over-grazing and over-cultivation, but (other) has the lowest data and measured with 7 proportion.
However
, over-grazing takes up the biggest space when it comes to the reasons for worldwide land degradation.
On the other hand
, over-cultivation especially in
Oceania
has not shown any violence to lands, which is considered a friendly process to that region.
Furthermore
, over-grazing has been affecting the
Oceania
region so dramatically.
Moreover
, deforestation in North America has an almost similar output of over-cultivation in
Oceania
which has a slight increase, around a percentage of 0.2.
To sum up
, over-grazing has been selected to be the largest cause that affects the earth's surface more than other methods.
Also
, in terms of the reasons in a specific region, over-grazing in
Oceania
has the lion share’s and ultimately it presents the most effective causes of land degradation.
Submitted by khaleefalkhalaf on

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Vocabulary: Replace the words oceania with synonyms.
Vocabulary: The word "data" was used 2 times.
Vocabulary: The word "proportion" was used 2 times.
Vocabulary: The word "slight" was used 2 times.
Topic Vocabulary:
  • Pie chart
  • Table
  • Main features
  • Comparisons
  • Decreasing productivity
  • Reasons
  • Regional variations
  • Data
  • Summarize
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