Every year, forest fires and severe storms cause a great deal of damage to forests in the northwestern United States. One way of dealing with the aftermath of these disasters is called salvage logging, which is the practice of removing dead trees from aff

Essay topics:

Every year, forest fires and severe storms cause a great deal of damage to forests in the northwestern United States. One way of dealing with the aftermath of these disasters is called salvage logging, which is the practice of removing dead trees from affected areas and using the wood for lumber, plywood, and other wood products. There are several reasons why salvage logging is beneficial both to a damaged forest and to the economy.

First, after a devastating fire, forests are choked with dead trees. If the trees are not removed, they will take years to decompose; in the meantime, no new trees can grow in the cramped spaces. Salvage logging, however, removes the remains of dead trees and makes room for fresh growth immediately, which is likely to help forest areas recover from the disaster.

Also, dead trees do more than just take up space. Decaying wood is a highly suitable habitat for insects such as the spruce bark beetle, which in large numbers can damage live, healthy spruce trees. So by removing rotting wood, salvage logging helps minimize the dangers of insect infestation, thus contributing to the health of the forest.

Third and last, salvage logging has economic benefits. Many industries depend upon the forests for their production, and because of this a fire can have a very harmful effect on the economy. Often, however, the trees that have been damaged by natural disasters still can provide much wood that is usable by industries. Furthermore, salvage logging requires more workers than traditional logging operations do, and so it helps create additional jobs for local residents.

The article and the lecture are both about salvage logging. The author of the reading feels that salvage logging is good for the forest for many reasons. The lecturer challengers the claims maid by the author. She thinks that salvage logging is not good for the future of the forest.

First of all, the author argues dead trees should take away to make enough room to grow new trees. The article notes that it helps forest to recover from the disaster soon. This point is challenged by the lecturer. He claims that natural decomposition is good for the forest. Furthermore he says natural decomposition helps the soil to get more neutritions.

Secondly, the author suggest that dead trees are helps insects to grow up faster. The article notes that this insects might be harmfull for that forest trees. The lecturer rebuts this argument. She suggest that insects are normally live in forest. Moreover she say that ny salvage logging it removes insect which is use full for forest.

Finally, the author states that salvage logging helps people to have more job oppotunities. In contrast, the lecturers position is that salvage logging will create only tempory jobs. He notes that moreover salvage logging need new technology equpments such as helicopers which will cost more.

Votes
Average: 6.1 (1 vote)
Essay Categories

Comments

Grammar and spelling errors:
Line 1, column 155, Rule ID: ENGLISH_WORD_REPEAT_BEGINNING_RULE
Message: Three successive sentences begin with the same word. Reword the sentence or use a thesaurus to find a synonym.
...s good for the forest for many reasons. The lecturer challengers the claims maid by...
^^^
Line 1, column 184, Rule ID: POSSESIVE_APOSTROPHE[1]
Message: Possible typo: apostrophe is missing. Did you mean 'claims'' or 'claim's'?
Suggestion: claims'; claim's
...y reasons. The lecturer challengers the claims maid by the author. She thinks that sal...
^^^^^^
Line 5, column 277, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: Furthermore,
...l decomposition is good for the forest. Furthermore he says natural decomposition helps the...
^^^^^^^^^^^
Line 9, column 199, Rule ID: HE_VERB_AGR[1]
Message: The pronoun 'She' must be used with a third-person verb: 'suggests'.
Suggestion: suggests
... The lecturer rebuts this argument. She suggest that insects are normally live in fores...
^^^^^^^
Line 9, column 249, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: Moreover,
...at insects are normally live in forest. Moreover she say that ny salvage logging it remo...
^^^^^^^^

Transition Words or Phrases used:
but, finally, first, furthermore, moreover, second, secondly, so, in contrast, such as, first of all

Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments

Performance on Part of Speech:
To be verbs : 10.0 10.4613686534 96% => OK
Auxiliary verbs: 5.0 5.04856512141 99% => OK
Conjunction : 1.0 7.30242825607 14% => More conjunction wanted.
Relative clauses : 14.0 12.0772626932 116% => OK
Pronoun: 23.0 22.412803532 103% => OK
Preposition: 16.0 30.3222958057 53% => More preposition wanted.
Nominalization: 4.0 5.01324503311 80% => OK

Performance on vocabulary words:
No of characters: 1080.0 1373.03311258 79% => OK
No of words: 213.0 270.72406181 79% => More content wanted.
Chars per words: 5.07042253521 5.08290768461 100% => OK
Fourth root words length: 3.82027741392 4.04702891845 94% => OK
Word Length SD: 2.37339615816 2.5805825403 92% => OK
Unique words: 110.0 145.348785872 76% => More unique words wanted.
Unique words percentage: 0.516431924883 0.540411800872 96% => OK
syllable_count: 318.6 419.366225166 76% => OK
avg_syllables_per_word: 1.5 1.55342163355 97% => OK

A sentence (or a clause, phrase) starts by:
Pronoun: 5.0 3.25607064018 154% => OK
Article: 10.0 8.23620309051 121% => OK
Subordination: 0.0 1.25165562914 0% => More adverbial clause wanted.
Conjunction: 0.0 1.51434878587 0% => OK
Preposition: 1.0 2.5761589404 39% => More preposition wanted as sentence beginning.

Performance on sentences:
How many sentences: 17.0 13.0662251656 130% => OK
Sentence length: 12.0 21.2450331126 56% => The Avg. Sentence Length is relatively short.
Sentence length SD: 20.1734691645 49.2860985944 41% => The essay contains lots of sentences with the similar length. More sentence varieties wanted.
Chars per sentence: 63.5294117647 110.228320801 58% => More chars_per_sentence wanted.
Words per sentence: 12.5294117647 21.698381199 58% => More words per sentence wanted.
Discourse Markers: 5.88235294118 7.06452816374 83% => OK
Paragraphs: 4.0 4.09492273731 98% => OK
Language errors: 5.0 4.19205298013 119% => OK
Sentences with positive sentiment : 6.0 4.33554083885 138% => OK
Sentences with negative sentiment : 6.0 4.45695364238 135% => OK
Sentences with neutral sentiment: 5.0 4.27373068433 117% => OK
What are sentences with positive/Negative/neutral sentiment?

Coherence and Cohesion:
Essay topic to essay body coherence: 0.151984670399 0.272083759551 56% => OK
Sentence topic coherence: 0.0551295592031 0.0996497079465 55% => OK
Sentence topic coherence SD: 0.0428572008581 0.0662205650399 65% => OK
Paragraph topic coherence: 0.0969394488716 0.162205337803 60% => OK
Paragraph topic coherence SD: 0.0284065583189 0.0443174109184 64% => OK

Essay readability:
automated_readability_index: 8.7 13.3589403974 65% => Automated_readability_index is low.
flesch_reading_ease: 67.76 53.8541721854 126% => OK
smog_index: 3.1 5.55761589404 56% => Smog_index is low.
flesch_kincaid_grade: 6.8 11.0289183223 62% => OK
coleman_liau_index: 11.24 12.2367328918 92% => OK
dale_chall_readability_score: 7.35 8.42419426049 87% => OK
difficult_words: 42.0 63.6247240618 66% => More difficult words wanted.
linsear_write_formula: 5.5 10.7273730684 51% => Linsear_write_formula is low.
gunning_fog: 6.8 10.498013245 65% => OK
text_standard: 7.0 11.2008830022 62% => The average readability is low. Need to imporve the language.
What are above readability scores?

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Rates: 61.6666666667 out of 100
Scores by essay e-grader: 18.5 Out of 30
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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.