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 reading promulgates the beneficial effects of salvage logging. It also provides three supporting ideas in order to strengthen its position. The professor was however says salvage logging will rather do long term problem in the forest. She refutes each of the reading claim.
First, the passage states removing dead trees will create room for fresh growth. However, the lecturer denies this proposition. She says, the removing of dead logs will not needed because by decomposing the dead trees will enrich the soil with nutrients that helps forest growth.
Second, the reading asserts salvage logging will helps to remove infest infestation. But, the professor refutes this statements. She explains, infest will rather help to enrich the forest. Such as, the Spurs Burg Beetle that sustain particular forest without doing harm. Rather, insects will helps to decompose of dead trees and attract to build a new natural habitat where different birds, animals will come to live.
Third, the passage claims salvage logging will have economic benefits by creating new jobs. The proposition is quite preposterous withy the professor stances. She describes, in order to free the forest from dead trees, there will need high power and expensive instruments that will be spendthrift choice. And also the possible job creation will only temporary.
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| 2022-09-15 | amrelmeligy | 60 | view |
| 2022-06-30 | Hello GRE | 85 | view |
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Grammar and spelling errors:
Line 3, column 174, Rule ID: DID_BASEFORM[1]
Message: The verb 'will' requires the base form of the verb: 'need'
Suggestion: need
...ays, the removing of dead logs will not needed because by decomposing the dead trees w...
^^^^^^
Line 5, column 50, Rule ID: DID_BASEFORM[1]
Message: The verb 'will' requires the base form of the verb: 'help'
Suggestion: help
...he reading asserts salvage logging will helps to remove infest infestation. But, the ...
^^^^^
Line 5, column 113, Rule ID: THIS_NNS[1]
Message: Did you mean 'these'?
Suggestion: these
...infestation. But, the professor refutes this statements. She explains, infest will r...
^^^^
Line 5, column 293, Rule ID: DID_BASEFORM[1]
Message: The verb 'will' requires the base form of the verb: 'help'
Suggestion: help
...ithout doing harm. Rather, insects will helps to decompose of dead trees and attract ...
^^^^^
Transition Words or Phrases used:
also, but, first, however, if, second, so, then, third, in particular, such as
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 3.0 10.4613686534 29% => More to be verbs wanted.
Auxiliary verbs: 13.0 5.04856512141 257% => Less auxiliary verb wanted.
Conjunction : 3.0 7.30242825607 41% => More conjunction wanted.
Relative clauses : 4.0 12.0772626932 33% => More relative clauses wanted.
Pronoun: 11.0 22.412803532 49% => OK
Preposition: 19.0 30.3222958057 63% => OK
Nominalization: 5.0 5.01324503311 100% => OK
Performance on vocabulary words:
No of characters: 1140.0 1373.03311258 83% => OK
No of words: 211.0 270.72406181 78% => More content wanted.
Chars per words: 5.4028436019 5.08290768461 106% => OK
Fourth root words length: 3.81127787577 4.04702891845 94% => OK
Word Length SD: 2.45249559013 2.5805825403 95% => OK
Unique words: 132.0 145.348785872 91% => More unique words wanted.
Unique words percentage: 0.625592417062 0.540411800872 116% => OK
syllable_count: 324.9 419.366225166 77% => 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: 1.0 1.51434878587 66% => OK
Preposition: 1.0 2.5761589404 39% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 16.0 13.0662251656 122% => OK
Sentence length: 13.0 21.2450331126 61% => The Avg. Sentence Length is relatively short.
Sentence length SD: 35.012441985 49.2860985944 71% => OK
Chars per sentence: 71.25 110.228320801 65% => OK
Words per sentence: 13.1875 21.698381199 61% => OK
Discourse Markers: 4.875 7.06452816374 69% => OK
Paragraphs: 4.0 4.09492273731 98% => OK
Language errors: 4.0 4.19205298013 95% => OK
Sentences with positive sentiment : 9.0 4.33554083885 208% => Less positive sentences wanted.
Sentences with negative sentiment : 4.0 4.45695364238 90% => OK
Sentences with neutral sentiment: 3.0 4.27373068433 70% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.151714893121 0.272083759551 56% => OK
Sentence topic coherence: 0.0503942339849 0.0996497079465 51% => OK
Sentence topic coherence SD: 0.0496629192204 0.0662205650399 75% => OK
Paragraph topic coherence: 0.104090813012 0.162205337803 64% => OK
Paragraph topic coherence SD: 0.0377215051837 0.0443174109184 85% => OK
Essay readability:
automated_readability_index: 10.6 13.3589403974 79% => Automated_readability_index is low.
flesch_reading_ease: 66.74 53.8541721854 124% => OK
smog_index: 3.1 5.55761589404 56% => Smog_index is low.
flesch_kincaid_grade: 7.2 11.0289183223 65% => OK
coleman_liau_index: 13.15 12.2367328918 107% => OK
dale_chall_readability_score: 8.4 8.42419426049 100% => OK
difficult_words: 55.0 63.6247240618 86% => OK
linsear_write_formula: 6.0 10.7273730684 56% => Linsear_write_formula is low.
gunning_fog: 7.2 10.498013245 69% => OK
text_standard: 8.0 11.2008830022 71% => OK
What are above readability scores?
---------------------
Rates: 81.6666666667 out of 100
Scores by essay e-grader: 24.5 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.