CN117874664B - Method for rapidly detecting forest carbon sequestration capacity based on forest carbon sequestration model - Google Patents
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- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 268
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 267
- 230000009919 sequestration Effects 0.000 title claims abstract description 133
- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000001514 detection method Methods 0.000 claims abstract description 58
- 238000005457 optimization Methods 0.000 claims abstract description 18
- 239000002023 wood Substances 0.000 claims description 111
- 239000002689 soil Substances 0.000 claims description 8
- 238000005070 sampling Methods 0.000 claims description 6
- 238000012876 topography Methods 0.000 claims description 6
- 241000894007 species Species 0.000 description 15
- 239000002028 Biomass Substances 0.000 description 8
- 210000000481 breast Anatomy 0.000 description 7
- 241000208140 Acer Species 0.000 description 1
- 241000931515 Acer palmatum Species 0.000 description 1
- 241000218631 Coniferophyta Species 0.000 description 1
- 241000723382 Corylus Species 0.000 description 1
- 235000011615 Pinus koraiensis Nutrition 0.000 description 1
- 240000007263 Pinus koraiensis Species 0.000 description 1
- 241001345012 Syringa reticulata subsp. amurensis Species 0.000 description 1
- 244000058281 Ulmus pumila Species 0.000 description 1
- 235000001547 Ulmus pumila Nutrition 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 150000001721 carbon Chemical class 0.000 description 1
- 238000004177 carbon cycle Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
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Abstract
The invention relates to the technical field of forest carbon sequestration detection, in particular to a method for rapidly detecting forest carbon sequestration capacity based on a forest carbon sequestration model, which comprises the following steps: establishing a forest carbon fixation model according to the dynamic change of the forest, and calculating to obtain carbon storage dynamic parameters; dividing a forest into a plurality of detection areas through carbon storage dynamic parameters; setting a representative area from each detection area to acquire forest data; obtaining an optimized parameter corresponding to each detection area based on the carbon storage dynamic parameters and the forest data; combining the optimization parameters with a forest carbon sequestration model, and calculating to obtain the carbon sequestration capacity corresponding to each detection area; and collecting the carbon sequestration capacity of each detection area to obtain the carbon sequestration capacity of the forest area to be detected. The method can be used for rapidly detecting the carbon fixing capacity of the forest.
Description
Technical Field
The invention relates to the technical field of forest carbon sequestration detection, in particular to a method for rapidly detecting forest carbon sequestration capacity based on a forest carbon sequestration model.
Background
Forest is an important component of the global carbon cycle covering about 30% of the land surface worldwide. Increasing forest carbon sequestration and storage has been considered as an important natural solution to help mitigate climate change, and this carbon strategy has been the primary focus of on-state scientists. However, the carbon reserves vary widely throughout the biological community, and the persistence of carbon sequestration depends on how forests should deal with changing biological communities and environmental conditions. Natural secondary forests have significant carbon capture capability and play a vital role in maintaining biodiversity and providing ecosystem services.
In order to efficiently study the dynamic change of forest carbon and the net carbon fixation amount of forest, a forest carbon fixation model is researched and developed in multiple directions. However, the existing forest carbon sequestration model still needs a large amount of data detection and exploration in the process of building and using, especially the detection of data such as breast diameters, tree heights, crown widths, tree ages and the like of a large number of trees, which is long in time consumption, huge in cost and not suitable for rapid detection of forest carbon sequestration capacity.
Disclosure of Invention
The invention provides a method for rapidly detecting the carbon sequestration capacity of a forest based on a forest carbon sequestration model.
The technical scheme adopted for solving the technical problems is as follows: a method for rapidly detecting forest carbon sequestration capacity based on a forest carbon sequestration model comprises the following steps:
S100: establishing a forest carbon fixation model according to the dynamic change of the forest, and calculating to obtain carbon storage dynamic parameters;
S200: dividing a forest into a plurality of detection areas through carbon storage dynamic parameters;
S300: setting a representative area from each detection area to acquire forest data;
s400: obtaining an optimized parameter corresponding to each detection area based on the carbon storage dynamic parameters and the forest data;
s500: combining the optimization parameters with a forest carbon sequestration model, and calculating to obtain the carbon sequestration capacity corresponding to each detection area;
s600: and collecting the carbon sequestration capacity of each detection area to obtain the forest carbon sequestration capacity.
Further, in S100, the carbon storage dynamic parameter is calculated by the following method:
S111: obtaining annual carbon fixation amount of all single woods in the sampling land every year, and dividing all single woods in the sampling land into one type of single woods, two types of single woods and three types of single woods according to the forest stand state;
S112: calculating the annual total carbon sequestration amount of each type of single wood to obtain annual total carbon sequestration amount of one type of single wood, annual total carbon sequestration amount of two types Shan Munian of single wood and annual total carbon sequestration amount of three types of single wood;
s113: and respectively calculating the variance of the annual total carbon sequestration amount of each type of single wood, and obtaining the carbon storage dynamic parameter according to the variance of the annual total carbon sequestration amount of each type of single wood.
Further, in S113, the variance of the annual total carbon fixation amount of each type of single wood is calculated by the following method:
;
wherein, Representation ofVariance of annual total carbon sequestration of the species of single wood,Representation ofClass Shan MudiThe total carbon fixation amount in the year,Representation ofAverage annual total carbon sequestration of the species of single wood.
Further, in S113, the carbon storage dynamic parameter is obtained according to the variance of the annual total carbon fixation amount of each type of single wood, specifically by the following formula:
;
wherein, Representing the dynamic parameters of the carbon storage,Represents the coefficient of the forest,Represents the variance of annual total carbon sequestration of a class of single woods,Representing the variance of annual total carbon sequestration of the class II single wood,Represents the variance of the annual total carbon sequestration of three types of single wood,The base variance of the total carbon sequestration of the set single year is shown.
Further, S200 specifically includes the following:
dividing the forest into the following steps when the carbon storage dynamic parameter is less than the first carbon storage parameter A plurality of detection areas;
dividing the forest into two sections when the first carbon storage parameter is less than or equal to the carbon storage dynamic parameter and less than the second carbon storage parameter A plurality of detection areas;
dividing the forest into the following steps when the second carbon storage parameter is less than or equal to the carbon storage dynamic parameter and less than the third carbon storage parameter A plurality of detection areas;
When the third carbon storage parameter is less than or equal to the carbon storage dynamic parameter, dividing the forest into A plurality of detection areas;
wherein, ＜＜＜。
Further, S300 further includes the following:
;
wherein, Represent the firstThe area of the individual detection areas is determined,Represent the firstThe area of the individual representative areas is determined,。
Further, S400 specifically includes the following:
The forest data includes: calculating a species diversity value, a stand structure value, a stand density value, a topography assignment and a soil assignment to obtain a first structural factor according to the species diversity value, the stand structure value and the stand density value, and calculating to obtain a second structural factor according to the topography assignment and the soil assignment; and then calculating to obtain the optimization parameters corresponding to each detection area through the following formula:
；
wherein, Represent the firstThe optimization parameters of the individual detection areas are,Representing the dynamic parameters of the carbon storage,As a result of the first structural factor,As a result of the second structural factor,To optimize the correction factor.
Further, in S100, the forest carbon sequestration model is established by the following method:
S121: obtaining the average annual total carbon sequestration amount of the single wood of the first class, the average annual total carbon sequestration amount of the single wood of the second class, the average annual total carbon sequestration amount of the three classes according to the annual total carbon sequestration amount of the single wood of the first class, the annual total carbon sequestration amount of the second class Shan Munian and the annual total carbon sequestration amount of the three classes;
S122: obtaining carbon sequestration contribution values of the single wood of the first class, the carbon sequestration contribution values of the single wood of the second class and the three classes according to the average annual total carbon sequestration amount of the single wood of the first class, the average annual total carbon sequestration amount of the single wood of the second class and the average annual total carbon sequestration amount of the three single woods of the third class;
S123: and constructing a forest carbon sequestration model through the carbon sequestration contribution values of the single wood of the first class, the carbon sequestration contribution values of the single wood of the second class and the carbon sequestration contribution values of the single wood of the third class.
Further, in S123, a forest carbon fixation model is constructed by the following formula:
；
wherein, The carbon fixation amount of the forest is represented,Represents the carbon fixation amount of a single wood,Represents the carbon fixation amount of the second class single wood,Represents the carbon fixation amount of three types of single wood,Represents the carbon fixation contribution value of a single wood,The carbon fixation contribution value of the second class single wood,Representing the carbon sequestration contribution values of three types of single wood.
Further, in S500, after the optimization parameters are combined with the forest carbon sequestration model, the following formula is obtained:
;
wherein, Represent the firstThe carbon fixing capacity corresponding to each detection area,Represent the firstOptimization parameters for each detection zone.
Compared with the prior art, the invention has the advantages that: according to the method, the forest is divided into a plurality of detection areas through the carbon storage dynamic parameters, then a representative area is set from the detection areas, so that the data acquisition amount and the acquisition area for detecting the carbon fixation capacity of the forest are reduced, and then the carbon fixation model of the forest is optimized based on the carbon storage dynamic parameters and the acquired forest data, so that a more accurate calculated value of each detection area is obtained; the method can be used for rapidly and efficiently detecting the carbon fixing capacity of the forest, and has the advantages of low cost and high accuracy.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of embodiments of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
The embodiment provides a method for rapidly detecting forest carbon sequestration capacity based on a forest carbon sequestration model, which comprises the following steps:
S100: establishing a forest carbon fixation model according to the dynamic change of the forest, and calculating to obtain carbon storage dynamic parameters;
S200: dividing a forest into a plurality of detection areas through carbon storage dynamic parameters;
S300: setting a representative area from each detection area to acquire forest data;
s400: obtaining an optimized parameter corresponding to each detection area based on the carbon storage dynamic parameters and the forest data;
s500: combining the optimization parameters with a forest carbon sequestration model, and calculating to obtain the carbon sequestration capacity corresponding to each detection area;
S600: and collecting the carbon sequestration capacity of each detection area to obtain the carbon sequestration capacity of the forest area to be detected.
Wherein, S100 specifically comprises the following contents,
S111: obtaining annual carbon fixation amount of all single woods in the sampling land every year, and dividing all single woods in the sampling land into one type of single woods, two types of single woods and three types of single woods according to the forest stand state.
In this step, the study site needs to be determined first. Natural secondary forest is selected, including pure forest and mixed forest, arbor species including Korean pine, acer northeast, ulmus pumila, and Acer palmatum, and shrub including Syringa amurensis and Corylus filberta. And then measuring the breast diameter, the tree height, the crown width and the branch height of each single tree, calculating the total biomass of the single tree by adopting a special tree species abnormal speed growth equation, and calculating other tree species by using a tree species equation of the same genus. The composition of total biomass includes leaf biomass, branch biomass, stem biomass, and root biomass. The total biomass of the single wood was converted to total carbon reserves of the single wood by multiplying with the average biomass carbon content (broad leaved tree species 0.488 and conifer species 0.508). The calculation formula of the annual carbon sequestration amount T of the single wood is as follows:
；
wherein, Representing the total carbon reserves of the annual single wood,Representing the total carbon reserve of the last year of the log.
Then, according to the breast diameter state of the single wood, the single wood is divided into one type of single wood, two types of single wood and three types of single wood, wherein one type of single wood is a tree with the breast diameter of less than 3cm in the current year, two types of single wood is a tree with the breast diameter of less than 3cm in the previous year and the breast diameter of more than or equal to 5cm in the current year, and three types of single wood are trees with the breast diameter of more than or equal to 5cm in the previous year and still survived in the current year.
S112: calculating the annual total carbon fixation amount of each type of single wood to obtain the annual total carbon fixation amount of one type of single wood, the annual total carbon fixation amount of two types Shan Munian of single wood and the annual total carbon fixation amount of three types of single wood. The annual total carbon fixation amount of the single wood in one category is obtained by adding the annual total carbon fixation amount of all single wood in one category, the annual total carbon fixation amount of the single wood in two categories is obtained by adding the annual total carbon fixation amount of the single wood in all two categories, and the annual total carbon fixation amount of the single wood in three categories is obtained by adding the annual total carbon fixation amount of the single wood in all three categories.
S113: and respectively calculating the variance of the annual total carbon sequestration amount of each type of single wood, and obtaining the carbon storage dynamic parameter according to the variance of the annual total carbon sequestration amount of each type of single wood. The variance of the annual total carbon sequestration of each type of single wood is calculated by the following method:
;
wherein, Representation ofVariance of annual total carbon sequestration of the species of single wood,Representation ofClass Shan MudiThe total carbon fixation amount in the year,Representation ofAverage annual total carbon sequestration of the species of single wood.
Obtaining the carbon storage dynamic parameter according to the variance of the annual total carbon fixation amount of each type of single wood is realized by the following formula:
;
wherein, Representing the dynamic parameters of the carbon storage,Represents the coefficient of the forest,Represents the variance of annual total carbon sequestration of a class of single woods,Representing the variance of annual total carbon sequestration of the class II single wood,Represents the variance of the annual total carbon sequestration of three types of single wood,The base variance of the total carbon sequestration of the set single year is shown.
In S100, a forest carbon fixation model is established by the following method:
s121: obtaining the average annual total carbon fixation of the single wood according to the annual total carbon fixation of the single wood of one type, the annual total carbon fixation of the single wood of two types Shan Munian and the annual total carbon fixation of the single wood of three types Average annual total carbon fixation of class II single woodAverage annual total carbon fixation of three types of single wood。
S122: according to the average annual total carbon fixation of single woodAverage annual total carbon fixation of class II single woodAverage annual total carbon fixation of three types of single woodAnd calculating to obtain the carbon fixation contribution value of the single wood of the first class, the carbon fixation contribution value of the single wood of the second class and the carbon fixation contribution values of the single wood of the third class.
S123: and constructing a forest carbon sequestration model through the carbon sequestration contribution values of the single wood of the first class, the carbon sequestration contribution values of the single wood of the second class and the carbon sequestration contribution values of the single wood of the third class. The construction of the forest carbon fixation model is realized by the following formula:
；
wherein, The carbon fixation amount of the forest is represented,Represents the carbon fixation amount of a single wood,Represents the carbon fixation amount of the second class single wood,Represents the carbon fixation amount of three types of single wood,Represents the carbon fixation contribution value of a single wood,The carbon fixation contribution value of the second class single wood,Representing the carbon sequestration contribution values of three types of single wood.、、Calculated by the following formula:
;
;
;
wherein, The method is calculated by the following formula:
。
The step S200 of dividing the forest into a plurality of detection areas by the carbon storage dynamic parameters specifically includes the following steps:
dividing the forest into the following steps when the carbon storage dynamic parameter is less than the first carbon storage parameter A plurality of detection areas;
dividing the forest into two sections when the first carbon storage parameter is less than or equal to the carbon storage dynamic parameter and less than the second carbon storage parameter A plurality of detection areas;
dividing the forest into the following steps when the second carbon storage parameter is less than or equal to the carbon storage dynamic parameter and less than the third carbon storage parameter A plurality of detection areas;
When the third carbon storage parameter is less than or equal to the carbon storage dynamic parameter, dividing the forest into A plurality of detection areas;
Wherein 3 < > ＜＜＜＜20。
The first carbon storage parameter, the second carbon storage parameter and the third carbon storage parameter are parameters which are set according to experience and can be adjusted according to actual conditions.
The step S300 of setting a representative area from each detection area to collect forest data includes the following steps:
;
wherein, Represent the firstThe area of the individual detection areas is determined,Represent the firstThe area of the individual representative areas is determined,。From the slave、、、And (3) taking the value.
The step S400 of obtaining the optimization parameters corresponding to each detection area based on the carbon storage dynamic parameters and the forest data specifically comprises the following steps:
The forest data includes: calculating a species diversity value, a stand structure value, a stand density value, a topography assignment and a soil assignment to obtain a first structural factor according to the species diversity value, the stand structure value and the stand density value, and calculating to obtain a second structural factor according to the topography assignment and the soil assignment; the species diversity value, the stand structure value, the stand density value, the terrain assignment and the soil assignment are assignment considered to be carried out according to the time measurement condition, and can be adjusted according to the actual condition. And then calculating to obtain the optimization parameters corresponding to each detection area through the following formula:
;
;
；
wherein, Represent the firstThe optimization parameters of the individual detection areas are,Representing the dynamic parameters of the carbon storage,As a result of the first structural factor,As a result of the second structural factor,In order to optimize the correction coefficient(s),The value of the diversity of the species is indicated,The structure value of the forest stand is represented,Represents the density value of the forest stand,Representing topographic assignment,Representing soil assignments.
In S500, after the optimization parameters are combined with the forest carbon sequestration model, the following formula is obtained:
;
wherein, Represent the firstThe carbon fixing capacity corresponding to each detection area,Represent the firstThe optimization parameters of the individual detection areas are,Representing the carbon sequestration amount of the forest.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be made by one skilled in the art without departing from the spirit and scope of the invention, and the scope of the invention should be assessed accordingly to that of the appended claims.
Claims (7)
1. A method for rapidly detecting the carbon sequestration capacity of a forest based on a forest carbon sequestration model is characterized by comprising the following steps:
S100: establishing a forest carbon fixation model according to the dynamic change of the forest, and calculating to obtain carbon storage dynamic parameters;
s200: dividing a forest into a plurality of detection areas through the carbon storage dynamic parameters;
s300: setting a representative area from each detection area to acquire forest data;
S400: obtaining an optimized parameter corresponding to each detection area based on the carbon storage dynamic parameter and the tree data;
s500: combining the optimization parameters with the forest carbon sequestration model, and calculating to obtain the carbon sequestration capacity corresponding to each detection area;
S600: collecting carbon fixation capacity of each detection area to obtain forest carbon fixation capacity;
In the step S100, the carbon storage dynamic parameter is calculated by the following method:
S111: obtaining annual carbon sequestration amount of all single woods in a sampling place every year, and dividing all single woods in the sampling place into one type of single woods, two types of single woods and three types of single woods according to a stand state;
S112: calculating the annual total carbon sequestration amount of each type of single wood to obtain annual total carbon sequestration amount of one type of single wood, annual total carbon sequestration amount of two types Shan Munian of single wood and annual total carbon sequestration amount of three types of single wood;
S113: calculating the variance of the annual total carbon sequestration amount of each type of single wood respectively, and obtaining the carbon storage dynamic parameters according to the variance of the annual total carbon sequestration amount of each type of single wood;
in S113, the variance of the annual total carbon fixation of each type of single wood is calculated by the following method:
Wherein S i represents the variance of the annual total carbon sequestration amount of the i-class single wood, G ij represents the annual total carbon sequestration amount of the i-class Shan Mudi j years, and G i0 represents the average annual total carbon sequestration amount of the i-class single wood;
In S113, the carbon storage dynamic parameter is obtained according to the variance of the annual total carbon fixation amount of each type of single wood, and is specifically realized by the following formula:
wherein, C represents a carbon storage dynamic parameter, C represents a forest coefficient, S 1 represents a variance of annual total carbon fixation amount of one type of single wood, S 2 represents a variance of annual total carbon fixation amount of two types of single wood, S 3 represents a variance of annual total carbon fixation amount of three types of single wood, and S 0 represents a base variance of annual total carbon fixation amount of set single wood.
2. The method for rapidly detecting forest carbon sequestration capacity based on the forest carbon sequestration model as recited in claim 1, wherein S200 specifically includes the following:
Dividing the forest into N 1 detection areas when the carbon storage dynamic parameter is smaller than the first carbon storage parameter;
dividing the forest into N 2 detection areas when the first carbon storage parameter is less than or equal to the carbon storage dynamic parameter and less than the second carbon storage parameter;
Dividing the forest into N 3 detection areas when the second carbon storage parameter is less than or equal to the carbon storage dynamic parameter and less than the third carbon storage parameter;
Dividing the forest into N 4 detection areas when the third carbon storage parameter is less than or equal to the carbon storage dynamic parameter;
wherein N 1＜N2＜N3＜N4.
3. The method for rapidly detecting forest carbon sequestration capacity based on the forest carbon sequestration model as recited in claim 2, wherein the step S300 further comprises the following steps:
Wherein M n represents the area of the nth detection region, N n represents the area of the nth representative region, and N ε [1, M ] and M are taken from N 1、N2、N3、N4.
4. The method for rapidly detecting forest carbon sequestration capacity based on the forest carbon sequestration model as recited in claim 1, wherein S400 specifically includes the following:
the tree data includes: calculating a species diversity value, a stand structure value, a stand density value, a topography assignment and a soil assignment to obtain a first structural factor according to the species diversity value, the stand structure value and the stand density value, and calculating to obtain a second structural factor according to the topography assignment and the soil assignment; and then calculating the optimization parameters corresponding to each detection area through the following formula:
Yn＝γ×C×D1×D2；
Wherein Y n represents an optimization parameter of an nth detection region, C represents a carbon storage dynamic parameter, D 1 is a first structural factor, D 2 is a second structural factor, and gamma is an optimization correction coefficient.
5. The method for rapidly detecting forest carbon sequestration capacity based on a forest carbon sequestration model according to claim 1, wherein in S100, the forest carbon sequestration model is established by the following method:
s121: obtaining the average annual total carbon sequestration amount of the single wood of the first class, the average annual total carbon sequestration amount of the single wood of the second class and the average annual total carbon sequestration amount of the three single wood of the third class according to the annual total carbon sequestration amount of the single wood of the first class, the annual total carbon sequestration amount of the second class and the annual total carbon sequestration amount of the second class Shan Munian;
s122: obtaining carbon sequestration contribution values of the single-class single-wood, the carbon sequestration contribution values of the double-class single-wood and the carbon sequestration contribution values of the three single-class single-wood according to the average annual total carbon sequestration amount of the single-class single-wood, the average annual total carbon sequestration amount of the double-class single-wood and the average annual total carbon sequestration amount of the three single-class single-wood;
S123: and constructing the forest carbon sequestration model according to the carbon sequestration contribution values of the single wood of the first class, the carbon sequestration contribution values of the single wood of the second class and the carbon sequestration contribution values of the three single woods.
6. The method for rapidly detecting carbon sequestration capacity of a forest based on a forest carbon sequestration model according to claim 5, wherein in S123, the forest carbon sequestration model is constructed by the following formula:
R＝r1×R1+r2×R2+r3×R3；
Wherein, R represents forest carbon sequestration amount, R 1 represents carbon sequestration amount of one type of single wood, R 2 represents carbon sequestration amount of two types of single wood, R 3 represents carbon sequestration amount of three types of single wood, R 1 represents carbon sequestration contribution value of one type of single wood, R 2 represents carbon sequestration contribution value of two types of single wood, and R 3 represents carbon sequestration contribution value of three types of single wood.
7. The method for rapidly detecting carbon sequestration capacity of a forest based on a carbon sequestration model of claim 6, wherein the following formula is obtained after combining the optimization parameters with the carbon sequestration model of the forest in S500:
Rz＝R(1+Yz)；
Wherein R z represents carbon sequestration capacity corresponding to the z detection area, Y z represents optimization parameters of the z detection area, and R represents forest carbon sequestration amount.
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