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Explanation & Answer
Attached.
Surname 1
Name
Professor
Course
Date
Economic Forestry
Invasive species can cause economic, ecological and social havoc on scales that range from native
to worldwide. These impacts include; loss of community relationships, native destruction of
species, a complete change of ecosystem function and structure and decreased biomass of local
species. Furthermore, alien species cause massive economic costs in terms of control. This
economic cost has been assessed to be $138 billion in the US alone (Beschta et al, 103).
Economic methods of forest management practices are significant for assessing different
silvicultural prescriptions, including cost-efficient measures for maintaining, restoring, and
enhancing wildlife habitat. In 1980’s, two computer programs CHEAPO 11 and CHEAPO were
established in order to quantify economic effects. CHEAPO 11 and CHEAPO were developed to
function after the accomplishment of an FVS simulation (Creedy & Wurzbacher, 81). The
weakness of the CHEAPO system was that it no interaction with the management and biological
components that were controlled in FVS. This lack of interface made an economic study of
silvicultural activities extremely cumbersome and time-consuming.
The economic tools that were used in cost and benefit analysis under The National Forest were:
a) Carbon sequestration
b)
Landscape
Surname 2
c)
Regeneration
d) Recreation
e)
Biodiversity and Wildlife
f) Timber production
The table below shows the data on the area of National forest expansion between the years 1991- 2100
1991
1992
1993
1994
1995
3,109
1996
1997
1998
1999
2000
2001
2002
2003
3,109
2004
2005
2006
2007
2008
2009
3,109
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
Total area
50,200
50,200
50,200
50,200
50,200
Preexisting
woodland
3,109
3,109
3,109
3,109
Total new
New
forest
woodland
0
0
348
244
487
696
7 31
1 ,044
1 ,392
9 75
Total
NEW
348
696
1,044
1,392
new
open
total
habitat forest area
0
3,109
104
3 ,457
209
3 ,805
313
4 ,153
418
4 ,501
% forest
cover
6.2 %
6.9 %
7.6 %
8.3 %
9.0 %
50,200
50,200
50,200
50,200
50,200
50,200
50,200
50,200
3,109
3,109
3,109
3,109
3,109
3,109
3,109
1
2
2
2
3
3
3
4
,740
,089
,437
,785
,133
,481
,829
,177
1,218
1,462
1,706
1,949
2,193
2,437
2,680
2,924
1,740
2,089
2,437
2,785
3,133
3,481
3,829
4,177
522
627
731
835
940
1,044
1,149
1,253
4 ,84...