G. Z. LIN ET AL.
continuous forest resource inventory, and there is no way to
utilize the forest inventory system to directly provide data on
annual forest resource status and growth and decline status. To
this end, some specialists have proposed surveying 1/5 of the
provincial sample plots every year, and leaving the remaining
4/5 to use data updating methods to take the place of annual
ground surveys. But what is urgently needed to solve this prob-
lem is 1) the basis for this statistical theory; 2) a method to
extract 1/5 of the sample plots and 3) a concrete method to
update the data for the remaining 4/5.
Moreover, the further integration of the forest continuous in-
ventory and the second class (sub-compartment) forest resource
inventory is also an important purpose of research in this paper.
Under normal conditions, on the basis of the fixed sample plots
usually used for the province level continuous inventory, the
county level inventory sampling system can be established to
act as a control on the sub-compartment survey precision. For
this reason, realization of the data of the forest inventory can
make the sub-compartment management more practical. The
actual situation shows that costs and workload will be greatly
increased by establishing such a system. Many counties have
abandoned the increased-precision sample plot system that de-
pends on county level data because it brings unavoidable prob-
lems of precision control in sub-compartment survey. At the
same time, new requirements have been put forward for the
progress of forest ecology monitoring which use mountain mas-
sif or even river basin areas (combined sub-compartments) as
basic units. Some specialists (She, 1998; She et al., 2007) have
proposed the varied probability sampling method with the
county-level data making up the main body of data, and sub-
compartments as the basic sampling unit (or combinations of
sub-compartments). This proposal is directed at the existing
problems in second-class forest resource inventory, specifically
in the south of China. With this type of sub-compartment sam-
ple plot a forest resource fixed angle gauge plot dynamic meas-
urement system can be established in each province. At the
same time, the statistical estimations of sub-compartment class
sample plots can serve as a control on the precision of the entire
second class forest (sub-compartment) inventory. This method
not only uses the high efficiency of varied probability sampling
established in the forest resource monitoring system, but also
can combine the sampling estimation method with sub-com-
partment inventory. This will satisfy the requirements of eco-
logical inventory by region. Sub-compartment class fixed sam-
ple plots can become a new forest resource monitoring system,
according to the inventory being carried out.
First and second class forest resource inventories are both
important components of the national and local forest resource
monitoring system. The amount of sample plot data used in the
nationwide province-based inventory estimates is rather large,
and the corresponding workload and costs are prohibitive. On
this basis it is suggested to establish a national forest continu-
ous inventory system and sample plot monitoring system that
takes the whole country as its basic unit. In this way, the
amount of sample plots in each province can be greatly reduced,
and also it will be beneficial to the development of an annual
national forest inventory. At the same time the statistical data
can control the precision of each province’s own inventory data
collection. Each province’s continuous forest inventory can be
implemented according to the method suggested above on a
national sample plot basis according to the really existing con-
ditions in the province, creating a more perfect forest resource
monitoring system. The new forest continuous inventory sys-
tem Put forward by this paper not only can play a role in origin-
nal system but also can realize two classes of survey combina-
tion.
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