CN110020961A - Chinese main arbor species plot/bottom class's sub-index grinds the technical method built - Google Patents
Chinese main arbor species plot/bottom class's sub-index grinds the technical method built Download PDFInfo
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- CN110020961A CN110020961A CN201910047545.0A CN201910047545A CN110020961A CN 110020961 A CN110020961 A CN 110020961A CN 201910047545 A CN201910047545 A CN 201910047545A CN 110020961 A CN110020961 A CN 110020961A
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 239000002689 soil Substances 0.000 claims abstract description 13
- 239000000523 sample Substances 0.000 claims abstract description 11
- 238000012876 topography Methods 0.000 claims abstract description 4
- 238000013178 mathematical model Methods 0.000 claims abstract description 3
- 238000010606 normalization Methods 0.000 claims abstract description 3
- 238000005516 engineering process Methods 0.000 abstract description 2
- 238000012545 processing Methods 0.000 abstract description 2
- 230000008901 benefit Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 239000002028 Biomass Substances 0.000 description 1
- 210000000481 breast Anatomy 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000003628 erosive effect Effects 0.000 description 1
- 230000008020 evaporation Effects 0.000 description 1
- 238000001704 evaporation Methods 0.000 description 1
- 239000003864 humus Substances 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The technical method built is ground the invention discloses a kind of main arbor species plot/bottom class's sub-index of China.The technology is in order to probe into the differently influence of landform, topography, edaphic condition to arboreal growth and forest restoration, the factor of will affect is summarized as plot/bottom class's sub-index, it is proposed the leading arbor plot/bottom class's sub-index figure (table) of China, (1) influence of status change suffered by forest Tree growth process is divided into the gradient (α), slope aspect (β), slope position (γ), thickness of soil (h), data normalization processing is carried out to data, establishes the relational model of the influence of orographic factor suffered by forest Tree growth process；(2) founding mathematical models,In formula, λαCoefficient, λ are influenced for the Tree growth gradientβCoefficient, λ are influenced for Tree growth slope aspectγFor Tree growth Influence of slope situation coefficient, λhCoefficient is influenced for Tree growth thickness of soil.
Description
Technical field
The technical method built is ground the present invention relates to a kind of main arbor species plot/bottom class's sub-index of China, especially
It is that Chinese main arbor species plot/bottom class's sub-index grinds the technical method built.
Technical background
China is complete not enough in the management of the forest reserves, and the investigation of the forest reserves is still faced with some actuality and asks
Topic: if the growth model in relation to forest arbor is widely used not yet, the system of forest resources data dynamic updating is caused to be built
The technology that vertical and data update is not prompt enough.One kind of twice-a-decade connects clear data and 10 years primary forestry resource survey data, all
Therefore the Current Status of Forest Resource and dynamic changes that can not in time and comprehensively reflect China utilize forest Tree growth mould
Type, which calculates forest reserves annual data, becomes a kind of effective method.Meanwhile China is vast in territory, various regions topoclimate difference is very
Greatly, forest biomass dynamic change is largely influenced by environmental perturbation and subsequent regrowth process, this is gloomy
Woods precisely monitors and brings difficulty, therefore, research forest arbor dynamic growth and geographical location, meteorology and climate, terrain, soil
Forest monitoring efficiency, benefit and effect can be improved in the relationship of condition.In order to further precisely predict arboreal growth situation,
When studying arbor breast diameter growth model, need to consider the influence that differently landform, topography, edaphic condition generate, or even need
Consider the influence of different zones longitude and latitude, height above sea level, temperature, rainfall.
Landform has a great impact to the growth and distribution of forest.Slope position is affected to tree growth, overall to present
Slope position is greater than mesoslope position, mesoslope position and is greater than the trend of descending position.In general, the edaphic condition of descending position is in humus content, soil layer
Thickness and water content etc. are greater than mesoslope position and upward slope position, can emerge from terms of tree growth.Slope aspect is also raw to forest
Length has an impact.Soil sunshine on Schattenseite is short, intensity is small, humidity is big, therefore Schattenseite is mostly more shade tolerant mesad.Tailo can
Longer and strong illumination is obtained, temperature is higher, and evaporation capacity is big, and soil is more arid, therefore tailo distribution is generally to show drought
The heliophyte of raw feature.The gradient also has a certain impact to tree growth.The biggish sample of the gradient, rainfall is largely lost,
Silt particle chad is deposited on piedmont belt more.On anxious high slope, due to erosion and denudation, rock exposed surface is not suitable for
Tree growth, mostly growth pteridophyte.The fluctuating of landform can change weather and edaphic condition, so, growth of the landform to forest
Have a great impact with distribution.By status change suffered by forest Tree growth process influence be divided into the gradient (α), slope aspect (β),
Slope position (γ), thickness of soil (h), and factors above is summarized as the leading tree species plot sub-index of China.
For not same low orographic condition, the present invention proposes that the main arbor species plot/bottom class's sub-index of China is ground
Construction method and index table, can with therefrom reflecting sample Intrusion Index of the orographic factor to arboreal growth.
Summary of the invention
In order to probe into the differently influence of landform, topography, edaphic condition to arboreal growth and forest restoration, the present invention will
Influence factor is summarized as plot/bottom class's sub-index, proposes the leading arbor plot/bottom class's sub-index figure (table) of China.It is special
Sign is: carrying out quantitative classification to locality classes indexes such as slope aspect, the gradient, slope position, thickness of soil, and by all locality class exponential fittings
And it is summarized as 432 China and dominates arbor plot/bottom class's sub-index.
BROAD SUMMARY:
1. a sample of the whole of China more than 7000 three phase first class survey data as basic data；
2. the relational model of a kind of arboreal growth and orographic condition；
3. according to locality class exponent pair sample the division of orographic condition；
This invention has the advantage that
(1) by sample simultaneously merger is fitted to corresponding index to orographic condition quantitative classification, rapidly and efficiently can intuitively obtain
Take certain a kind of landform growth index.
(2) foundation, which meets each landform, effectively rationally can be predicted to the arboreal growth situation of all kinds of orographic conditions of China
The technical method of condition.
Specific embodiment
The research of the leading tree species plot/bottom class's sub-index of China is in order to will be suffered by forest bottom class Tree growth process
Status change influence classification, specific implementation method is as follows:
(1) influence of status change suffered by forest Tree growth process is divided into the gradient (α), slope aspect (β), slope position
(γ), thickness of soil (h), to data carry out data normalization processing, establish landform suffered by forest Tree growth process because
The relational model that element influences.
(2) founding mathematical models,In formula, λαFor Tree growth slope
Degree influences coefficient, λβCoefficient, λ are influenced for Tree growth slope aspectγFor Tree growth Influence of slope situation coefficient, λhFor Tree growth soil
Thickness effect coefficient.
Table 1 is the leading tree species plot/bottom class's sub-index concrete outcome sizes values of China.
Claims (3)
1. a kind of main arbor species plot/grinding for bottom class's sub-index of China builds technical method, it is characterized in that: having used in complete
A sample of state more than 7000 three phase first class survey data as basic data, with the relationship mould of a kind of arboreal growth and orographic condition
It is raw to trees to probe into differently landform, topography, edaphic condition for type, according to locality class exponent pair sample the division of orographic condition
Long and forest restoration influence, the factor of will affect are summarized as plot/bottom class's sub-index, the leading arbor plot of proposition China/small
Class's sub-index carries out quantitative classification to locality classes indexes such as slope aspect, the gradient, slope position, thickness of soil, and all locality classes is referred to
Number, which is fitted and is summarized as 432 China, dominates arbor plot/bottom class's sub-index.
2. the technical method built that grinds of Chinese main arbor species plot/bottom class's sub-index is in order to which forest bottom class arbor is raw
Status change suffered by growth process influences classification；Specific implementation method is as follows: (1) will be suffered by forest Tree growth process
Status change influence is divided into the gradient (α), slope aspect (β), slope position (γ), thickness of soil (h), carries out at data normalization to data
Reason establishes the relational model of the influence of orographic factor suffered by forest Tree growth process；(2) founding mathematical models,In formula, λαCoefficient, λ are influenced for the Tree growth gradientβFor Tree growth slope
To influence coefficient, λγFor Tree growth Influence of slope situation coefficient, λhCoefficient is influenced for Tree growth thickness of soil.
It, can by sample orographic condition 3. a kind of main arbor species plot/grinding for bottom class's sub-index of China builds technical method
Quantitative classification and merger are fitted to corresponding index, rapidly and efficiently can intuitively obtain certain a kind of landform growth index, can be with
Rationally effectively the arboreal growth situation of all kinds of orographic conditions of China is predicted, establishes the technical method for meeting each orographic condition.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113159977A (en) * | 2020-01-07 | 2021-07-23 | 北京林业大学 | Dominant tree species diameter step distribution method based on growth model |
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|---|---|---|---|---|
| CN101828503A (en) * | 2010-05-12 | 2010-09-15 | 崔国发 | Method for testing forest resource sustainability |
| US8396293B1 (en) * | 2009-12-22 | 2013-03-12 | Hrl Laboratories, Llc | Recognizing geometrically salient objects from segmented point clouds using strip grid histograms |
| CN105893737A (en) * | 2016-03-24 | 2016-08-24 | 北京林业大学 | Construction method of geological model-based forest growing stock estimation model |
| CN106570512A (en) * | 2015-10-12 | 2017-04-19 | 北京林业大学 | Forest subcompartment classification method |
| CN109145779A (en) * | 2018-08-01 | 2019-01-04 | 南京林业大学 | A kind of forest land of fixed forest Edge of subcompartment ground class extracting change information method |
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2019
- 2019-01-18 CN CN201910047545.0A patent/CN110020961A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8396293B1 (en) * | 2009-12-22 | 2013-03-12 | Hrl Laboratories, Llc | Recognizing geometrically salient objects from segmented point clouds using strip grid histograms |
| CN101828503A (en) * | 2010-05-12 | 2010-09-15 | 崔国发 | Method for testing forest resource sustainability |
| CN106570512A (en) * | 2015-10-12 | 2017-04-19 | 北京林业大学 | Forest subcompartment classification method |
| CN105893737A (en) * | 2016-03-24 | 2016-08-24 | 北京林业大学 | Construction method of geological model-based forest growing stock estimation model |
| CN109145779A (en) * | 2018-08-01 | 2019-01-04 | 南京林业大学 | A kind of forest land of fixed forest Edge of subcompartment ground class extracting change information method |
Non-Patent Citations (2)
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113159977A (en) * | 2020-01-07 | 2021-07-23 | 北京林业大学 | Dominant tree species diameter step distribution method based on growth model |
| CN113159977B (en) * | 2020-01-07 | 2023-09-29 | 北京林业大学 | Dominant tree species diameter order distribution method based on growth model |
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