CN109190178A - A kind of China fir carbon density calculation method based on DEM terrain factor - Google Patents
A kind of China fir carbon density calculation method based on DEM terrain factor Download PDFInfo
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- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 93
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 93
- 244000050510 Cunninghamia lanceolata Species 0.000 title claims abstract description 53
- 238000004364 calculation method Methods 0.000 title claims abstract description 16
- 238000003860 storage Methods 0.000 claims abstract description 23
- 238000000034 method Methods 0.000 claims abstract description 14
- 239000002028 Biomass Substances 0.000 claims description 26
- 239000000284 extract Substances 0.000 claims description 8
- 241001098499 Lanceolata Species 0.000 claims description 6
- 210000000056 organ Anatomy 0.000 claims description 6
- 230000015572 biosynthetic process Effects 0.000 claims description 5
- 238000003786 synthesis reaction Methods 0.000 claims description 5
- 238000009825 accumulation Methods 0.000 claims description 3
- 238000012417 linear regression Methods 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 2
- 238000004177 carbon cycle Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000003337 fertilizer Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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Abstract
The China fir carbon density calculation method based on DEM terrain factor that the invention discloses a kind of, the following steps are included: extracting the gradient in dem data, slope aspect, height above sea level, gradient variability, slope aspect variability first as terrain factor, and calculate separately the corresponding each landform Factor Weight of each age group of China fir, the comprehensive terrain factor F of each age group is calculated separately again, establish year carbon density appraising model: young growth Y=0.0011F+2.04, middle-aged forest Y=0.0012F+2.05, near-mature forest Y=11.24-0.064X4‑0.088X3‑0.171X5, mature forest Y=-0.0025F+1.69, overmature forest Y=0.01X2+0.828.Calculation method of the present invention is simple and convenient, can estimate China fir year carbon density just with the terrain factor in dem data, provides a kind of method for organic C storage estimation in regional scope.
Description
Technical field
The present invention relates to China fir carbon density calculation methods, close more particularly, to a kind of China fir carbon based on DEM terrain factor
Spend calculation method.
Background technique
The forest ecosystem carbon storehouse important as one plays an important role in region and global carbon, is
The maximum carbon storehouse of the ecosystem.The carbon stored in forest accounts for 45% or so of Global Carbon total amount, year carbon capacity account for about land ecology
The 2/3 of system organic C storage.Since the nineties in last century, forest biomass carbon storage, carbon density and carbon based on provincial scale
The function correlative study that converges becomes hot spot.China fir is one of distinctive main yielding timber plantationsion of southern china, accounts for Chinese artificial forest face
Long-pending 30% 2016, more than 2,000 ten thousand mu of Guangxi China fir cultivated area, always has accumulated and accounts for the 20% of Guangxi forest stock, puts down
15.8m3/ mus are accumulated, therefore, Chinese Fir Plantation Ecosystem plays China's especially Guangxi ecosystem carbon cycle important
Effect, understand Cunninghamia Lanceolata Plantations Live carbon storage Distribution Pattern facilitate to carbon cycle of forest ecosystem mechanism carry out it is deeper
The research entered.Currently, the research that China fir Live carbon storage Spatial Distribution Pattern is analyzed from provincial scale is more, however from space ruler
The rare report of research that degree research terrain factor influences China fir Carbon fixation, carbon concentration profile pattern.Not due to orographic condition
Together, the environmental factors such as light, heat, water, fertilizer have a process for distributing combination again, forming region miniclimate, even if in same dimension band,
There is also very big differences for Chinese fir Stand primary production and biomass under different terrain conditions.Therefore, it is necessary to study be based on DEM number
According to forest inventory investigation statistical data, estimate Live carbon storage and carbon concentration profile lattice under each age group China fir different terrain conditions
Office, and then the relationship model being fitted between terrain factor and carbon density, provide a kind of China fir carbon density based on DEM terrain factor
Calculation method provides evidence for the research of regional scale China fir ecology organic C storage, carbon density and ability to pool carbon.
Summary of the invention
The growth of China fir year carbon density is calculated using DEM terrain factor technical problem to be solved by the invention is to provide a kind of
The calculation method of amount provides a kind of convenient and fast method for the estimation of China fir organic C storage.
To achieve the above object, the technical solution of the present invention is as follows:
A kind of China fir carbon density calculation method based on DEM terrain factor, comprising the following steps:
(1) it extracts terrain factor and calculates weight
The research area gradient in extraction digital complex demodulation data, slope aspect, height above sea level, gradient variability, slope aspect variability respectively
As terrain factor, the weight of each terrain factor is calculated separately using rough set method, then calculates separately each age as follows
The synthesis terrain factor F of group:
F=W1X1+W2X2+W3X3+W4X4+W5X5
In formula, X1For slope aspect, X2For height above sea level, X3For the gradient, X4For gradient variability, X5For slope aspect variability, W1The weight of slope aspect,
W2The weight of height above sea level, W3The weight of the gradient, W4The weight of gradient variability, W5The weight of slope aspect variability；
(2) biomass and Live carbon storage are estimated
1. biomass estimation
China fir biomass, China fir biomass estimation equation are estimated using conversion factor continuous function method are as follows:
B=aV+b,
In formula: B is unit area biomass；V is unit area accumulation, and a and b are respectively parameter, take a=0.3999, b
=22.5410；
B is divided by the age of stand up to unit area China fir year biomass；
2. Carbon fixation and carbon density estimation
The mean carbon content of each organ of cohort lanceolata forest is not multiplied by the China fir biomass of corresponding age group up to not cohort
Chinese fir Stand Live carbon storage；
Carbon density is the Live carbon storage of each age group standing forest divided by corresponding standing forest area；
(3) the year carbon density model of different China fir age groups is established
According to the synthesis terrain factor of standing forest terrain factor and each age group obtained by step (1), with step (2) resulting correspondence
The carbon density data of standing forest obtain each age of stand group year carbon density using successive Regression or linear regression fit and estimate as observation
Model is as follows:
Young growth: Y=0.001F+2.04；
Middle-aged forest: Y=0.001F+2.05；
Near-mature forest: Y=11.24-0.064X4-0.088X3-0.171X5；
Mature forest: Y=-0.0025F+1.69；
Overmature forest: Y=0.01X2+0.828；
In the above formulas, Y is year carbon density, and F is comprehensive terrain factor, X2For height above sea level, X3For the gradient, X4For gradient variability,
X5For slope aspect variability.
In the terrain factor, slope aspect quantify as follows: Schattenseite quantized value is 1, and half Schattenseite quantized value is 2, half tailo
Quantized value is 3, and tailo quantized value is 4.
The criteria for classifying of the China fir age group are as follows: young growth≤10 year, middle-aged forest 10~20 years, near-mature forest 21~25 years,
Mature forest 26~35 years, overmature forest was 35 years or more.
The mean carbon content of each organ of the not cohort lanceolata forest are as follows: the mean carbon content of young growth is 0.47, middle age
The mean carbon content of woods is 0.48, and the mean carbon content of near-mature forest is 0.49, and the mean carbon content of mature forest is 0.54.
The present invention has the advantages that using the calculated China fir year carbon density of calculation method and actual measurement of the invention
For error within allowed band, R value reaches the level of signifiance between numerical value.The calculation method is just with the landform in dem data
The factor can estimate China fir carbon density increment, simple and convenient, provide a kind of method for organic C storage estimation in regional scope.
Specific embodiment
It elaborates with reference to embodiments to a specific embodiment of the invention, but does not constitute and right of the present invention is wanted
Ask the limitation of protection scope.
China fir carbon density calculation method based on DEM terrain factor of the invention, step include:
1. extracting terrain factor and calculating weight:
Extract the research area gradient in digital complex demodulation data, slope aspect, height above sea level, slope respectively using ArcGIS tool
Variability, slope aspect variability are spent as terrain factor.Because slope aspect is descriptive index, slope aspect is quantified in calculating process, Schattenseite
Quantized value is 1, and half Schattenseite quantized value is 2, and half tailo quantized value is 3, and tailo quantized value is 4.Terrain factor is extracted to provide with forest
For minimum statistics unit standing forest in the investigation statistics data of source as unit, the terrain factor extracted represents the ground of corresponding standing forest
Shape.Each landform Factor Weight of each age group is calculated separately using rough set method, the results are shown in Table 1.
Each age group terrain factor weight of table 1.
Each age group criteria for classifying are as follows: young growth≤10 year, middle-aged forest 10~20 years, near-mature forest 21~25 years, mature forest 26
~35 years, overmature forest was 35 years or more.
Calculate separately the synthesis terrain factor F of each age group as follows again:
F=W1X1+W2X2+W3X3+W4X4+W5X5。
In formula, X1For slope aspect, X2For height above sea level, X3For the gradient, X4For gradient variability, X5For slope aspect variability, W1For the power of slope aspect
Weight, W2For the weight of height above sea level, W3For the weight of the gradient, W4For the weight of gradient variability, W5For the weight of slope aspect variability.
2. the estimation of biomass and Live carbon storage:
Accumulation in research on utilization area forest land forest resource survey data estimates that China fir biomass in unit area, carbon store
Accumulated amount and carbon density, the specific steps are as follows:
1. biomass estimation
China fir biomass estimation uses conversion factor continuous function method, and the conversion factor continuous function method is referring to square essence
Cloud, Liu Guohua, the biomass and net production [J] of Xu Song age China forest cover, Acta Ecologica Sinica, 1996,16 (5): 497-
508.China fir biomass estimation equation are as follows: B=aV+b, in formula: B is unit area biomass (thm-2), V is unit area storage
Accumulated amount (m3·hm-2), a and b are respectively parameter.The relative growth that this expression formula meets biology is theoretical, has generality.Take a
=0.3999, b=22.5410.Estimate resulting China fir biomass B divided by the age of stand up to unit area China fir year biomass.
2. Carbon fixation and carbon density estimation
The carbon content of China fir difference age of stand section has different, therefore using the average carbon of not each organ of cohort lanceolata forest
Content is multiplied by its corresponding biomass estimation not cohort Chinese fir Stand Live carbon storage.
The wherein not mean carbon content of each organ of cohort lanceolata forest: young growth 0.47, middle-aged forest 0.48, near-mature forest
It is 0.49, mature forest 0.54.
Carbon density is the Live carbon storage of each age group standing forest divided by corresponding standing forest area.
3. establishing year carbon density appraising model:
Using the relationship between standing forest terrain data and year carbon density increment, according to step 1 gained standing forest terrain factor
With the synthesis terrain factor F of each age group, using the carbon density data of the resulting corresponding standing forest of step 2 as observation, using gradually
It is as shown in table 2 that recurrence or linear regression fit obtain each age of stand group year carbon density appraising model:
Each age of stand group year carbon density appraising model of table 2.
In table 2, R2It is the goodness of fit of model, is the bigger the better, n represents observation data volume.
The method of the present invention, it is only necessary to have the DEM terrain data of target area, using ArcGIS tool extract DEM landform because
Son can estimate the China fir carbon density value in the region according to above-mentioned model.
Example 1: father's concubine mountain Young Growth of Chinese Fir standing forest, the age of stand 5 years, area 2.58hm2
Utilize ArcGIS tool extract DEM terrain factor: slope aspect be half tailo (quantized value 3), 851.68 meters of height above sea level, slope
Degree 22.99, gradient variability sos value 6.76, slope aspect variability soa value 4.69 are counted according to young growth year carbon density appraising model
It calculates, which is 2.28tChm-2, then standing forest Live carbon storage is 29.41tC.
Example 2: forest farm Middle-aged China-fir standing forest in happy, the age of stand 11 years, area 5.42hm2
Utilize ArcGIS tool extract DEM terrain factor: slope aspect be Schattenseite (quantized value 1), 792.83 meters of height above sea level, the gradient
25.89, gradient variability sos39.55, slope aspect variability soa9.44 are calculated according to middle-aged forest year carbon density appraising model, should
Standing forest year carbon density is 2.27tChm-2, then standing forest Live carbon storage is 135.34tC.
3: Huang Mian forest farm China fir near-mature forest standing forest of example, the age of stand 25, area 1.86hm2
Utilize ArcGIS tool extract DEM terrain factor: slope aspect be Schattenseite (quantized value 1), 501.67 meters of height above sea level, the gradient
40.5, the gradient variability sos value 48.48, slope aspect variability soa value 12.37 are counted according to near-mature forest year carbon density appraising model
It calculates, which is 2.46tChm-2, then standing forest Live carbon storage is 114.30tC.
Example 4: refined long forest farm Cunninghamia lanceolata mature plantation standing forest, the age of stand 30, area 0.74hm2
Utilize ArcGIS tool extract DEM terrain factor: half Schattenseite of slope aspect (quantized value 2), 746.83 meters of height above sea level, the gradient
14.59, the gradient variability sos value 47.48, slope aspect variability soa value 7.29 are counted according to mature forest year carbon density appraising model
It calculates, which is 1.28tChm-2, then standing forest Live carbon storage is 28.42tC.
Claims (4)
1. a kind of China fir carbon density calculation method based on DEM terrain factor, which comprises the following steps:
(1) it extracts terrain factor and calculates weight
The research area gradient in extraction digital complex demodulation data, slope aspect, height above sea level, gradient variability, slope aspect variability conduct respectively
Terrain factor calculates separately the weight of each terrain factor using rough set method, then calculates separately each age group as follows
Comprehensive terrain factor F:
F=W1X1+W2X2+W3X3+W4X4+W5X5
In formula, X1For slope aspect, X2For height above sea level, X3For the gradient, X4For gradient variability, X5For slope aspect variability, W1The weight of slope aspect, W2Sea
The weight pulled out, W3The weight of the gradient, W4The weight of gradient variability, W5The weight of slope aspect variability；
(2) biomass and Live carbon storage are estimated
1. biomass estimation
China fir biomass, China fir biomass estimation equation are estimated using conversion factor continuous function method are as follows:
B=aV+b,
In formula: B is unit area biomass；V is unit area accumulation, and a and b are respectively parameter, take a=0.3999, b=
22.5410；
B is divided by the age of stand up to unit area China fir year biomass；
2. Carbon fixation and carbon density estimation
The mean carbon content of each organ of cohort lanceolata forest is not multiplied by the China fir biomass of corresponding age group up to not cohort China fir
Standing forest Live carbon storage；
Carbon density is the Live carbon storage of each age group standing forest divided by corresponding standing forest area；
(3) the year carbon density model of different China fir age groups is established
According to the synthesis terrain factor of standing forest terrain factor and each age group obtained by step (1), with the resulting corresponding standing forest of step (2)
Carbon density data as observation, each age of stand group year carbon density appraising model is obtained using successive Regression or linear regression fit
It is as follows:
Young growth: Y=0.001F+2.04；
Middle-aged forest: Y=0.001F+2.05；
Near-mature forest: Y=11.24-0.064X4-0.088X3-0.171X5；
Mature forest: Y=-0.0025F+1.69；
Overmature forest: Y=0.01X2+0.828；
In the above formulas, Y is year carbon density, and F is comprehensive terrain factor, X2For height above sea level, X3For the gradient, X4For gradient variability, X5For
Slope aspect variability.
2. a kind of China fir carbon density calculation method based on DEM terrain factor as described in claim 1, which is characterized in that institute
State in terrain factor, slope aspect quantify as follows: Schattenseite quantized value is 1, and half Schattenseite quantized value is 2, and half tailo quantized value is 3,
Tailo quantized value is 4.
3. a kind of China fir carbon density calculation method based on DEM terrain factor as described in claim 1, which is characterized in that institute
State the criteria for classifying of China fir age group are as follows: young growth≤10 year, middle-aged forest 10~20 years, near-mature forest 21~25 years, mature forest 26~
35 years, overmature forest was 35 years or more.
4. a kind of China fir carbon density calculation method based on DEM terrain factor as described in claim 1, which is characterized in that institute
State the mean carbon content of not each organ of cohort lanceolata forest are as follows: the mean carbon content of young growth is 0.47, the average carbon of middle-aged forest
Content is 0.48, and the mean carbon content of near-mature forest is 0.49, and the mean carbon content of mature forest is 0.54.
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Application publication date: 20190111 Assignee: Wuzhou Ruifeng Agricultural Technology Co.,Ltd. Assignor: GUANGXI ZHUANG AUTONOMOUS REGION FORESTRY Research Institute Contract record no.: X2023980045120 Denomination of invention: A Method for Calculating Carbon Density of Chinese Fir Based on DEM Terrain Factors Granted publication date: 20221101 License type: Common License Record date: 20231103 |
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