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 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 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 suggests that salvage logging is better than traditional logging for three reasons. However, the lecture disputes those opinions and claims that salvage logging is not as perfect as the reading believes.
Salvage logging can remove the ruins of dead trees and free more space for new lives faster stated by the reading. Nonetheless, the wood decomposition can served as nutrients and turned into soil finally declared by the lecture.
The reading mentions without salvage logging, the decaying wood can caused insects disasters because decaying wood is a fine habitat for many insects like beetles that human do not like. The lecture refutes the reading since not only insects but also birds whose food are insects can rely on decaying woods and they are all contributors for the development of forest.
Lastly, albeit the reading supports the idea that salvage logging brings economic profits for local areas, the lecture casts doubts on it. The lectures remind us that in a traditional way, helicopters and other vehicles can clean up more quickly and cost less. Moreover, workers with more experience from outside can defeat the local labors. The profits brought by salvage logging are unrealistic.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2023-07-30 | nusybah | 85 | view |
| 2022-12-26 | YAGUT | 70 | view |
| 2020-08-20 | Joanne Chang | 76 | view |
| 2020-08-20 | Joanne Chang | 76 | view |
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- 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 aftermath of these disasters is called salvage logging which is the practice of removing dead trees from affected a 76
Grammar and spelling errors:
Line 7, column 168, Rule ID: IN_A_X_MANNER[1]
Message: Consider replacing "in a traditional way" with adverb for "traditional"; eg, "in a hasty manner" with "hastily".
...ubts on it. The lectures remind us that in a traditional way, helicopters and other vehicles can cle...
^^^^^^^^^^^^^^^^^^^^
Transition Words or Phrases used:
also, but, finally, however, lastly, moreover, nonetheless, so
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 6.0 10.4613686534 57% => More to be verbs wanted.
Auxiliary verbs: 6.0 5.04856512141 119% => OK
Conjunction : 7.0 7.30242825607 96% => OK
Relative clauses : 6.0 12.0772626932 50% => More relative clauses wanted.
Pronoun: 9.0 22.412803532 40% => OK
Preposition: 17.0 30.3222958057 56% => More preposition wanted.
Nominalization: 3.0 5.01324503311 60% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1028.0 1373.03311258 75% => OK
No of words: 195.0 270.72406181 72% => More content wanted.
Chars per words: 5.27179487179 5.08290768461 104% => OK
Fourth root words length: 3.73687570622 4.04702891845 92% => OK
Word Length SD: 2.43519018073 2.5805825403 94% => OK
Unique words: 119.0 145.348785872 82% => More unique words wanted.
Unique words percentage: 0.610256410256 0.540411800872 113% => OK
syllable_count: 310.5 419.366225166 74% => OK
avg_syllables_per_word: 1.6 1.55342163355 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 3.25607064018 0% => OK
Article: 9.0 8.23620309051 109% => OK
Subordination: 0.0 1.25165562914 0% => More adverbial clause wanted.
Conjunction: 0.0 1.51434878587 0% => OK
Preposition: 0.0 2.5761589404 0% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 10.0 13.0662251656 77% => Need more sentences. Double check the format of sentences, make sure there is a space between two sentences, or have enough periods. And also check the lengths of sentences, maybe they are too long.
Sentence length: 19.0 21.2450331126 89% => OK
Sentence length SD: 38.4927265857 49.2860985944 78% => OK
Chars per sentence: 102.8 110.228320801 93% => OK
Words per sentence: 19.5 21.698381199 90% => OK
Discourse Markers: 6.2 7.06452816374 88% => OK
Paragraphs: 4.0 4.09492273731 98% => OK
Language errors: 1.0 4.19205298013 24% => OK
Sentences with positive sentiment : 4.0 4.33554083885 92% => OK
Sentences with negative sentiment : 5.0 4.45695364238 112% => OK
Sentences with neutral sentiment: 1.0 4.27373068433 23% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.130497173035 0.272083759551 48% => OK
Sentence topic coherence: 0.057590387439 0.0996497079465 58% => OK
Sentence topic coherence SD: 0.0386288409288 0.0662205650399 58% => OK
Paragraph topic coherence: 0.0809141575378 0.162205337803 50% => OK
Paragraph topic coherence SD: 0.0184248734018 0.0443174109184 42% => 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: 13.1 13.3589403974 98% => OK
flesch_reading_ease: 52.19 53.8541721854 97% => OK
smog_index: 3.1 5.55761589404 56% => Smog_index is low.
flesch_kincaid_grade: 10.7 11.0289183223 97% => OK
coleman_liau_index: 13.29 12.2367328918 109% => OK
dale_chall_readability_score: 8.71 8.42419426049 103% => OK
difficult_words: 51.0 63.6247240618 80% => More difficult words wanted.
linsear_write_formula: 10.5 10.7273730684 98% => OK
gunning_fog: 9.6 10.498013245 91% => OK
text_standard: 11.0 11.2008830022 98% => OK
What are above readability scores?
---------------------
Rates: 76.6666666667 out of 100
Scores by essay e-grader: 23.0 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.