CN103279686A - Forestry carbon measuring method based on forest resources - Google Patents

Forestry carbon measuring method based on forest resources Download PDF

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CN103279686A
CN103279686A CN 201310246808 CN201310246808A CN103279686A CN 103279686 A CN103279686 A CN 103279686A CN 201310246808 CN201310246808 CN 201310246808 CN 201310246808 A CN201310246808 A CN 201310246808A CN 103279686 A CN103279686 A CN 103279686A
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biomass
carbon
forest
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刘波
徐�明
张小全
张文
赖长鸿
曹昌楷
陈家德
梁玉喜
王丽丽
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SICHUAN FORESTRY INVENTORY AND PLANNING INSTITUTE
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Abstract

The invention relates to a forestry carbon measuring method based on forest resources. The forestry carbon measuring method based on forest resources comprises the steps of S1 selecting forest types of different geographic regions and measuring a part of aboveground biomass; S2 measuring soil organic carbon at the same measurement positions; S3 measuring space information at the same measurement positions; S4 establishing a unit-area carbon content measuring models, biomass measuring models and/or carbon reserve measuring models according to the forest types of different geographic regions; and S5 adopting a system sampling statistic method to convert carbon reserve estimation result of a sample land into a region macro-scale. The forestry carbon measuring method based on the forest resources provides an arbor and standing tree biomass space extension equation integrating geographical variation, is simple in establishing process and wide in application range, enables forestry carbon measuring contents to be rich, enables measured objects to be detailed and enables a measuring system to be improved. By utilizing the forestry carbon measuring method, domestic and provincial greenhouse gas emission inventories related with forestry can be compiled.

Description

Forestry carbon metering method based on the forest reserves
Technical field
The invention belongs to fields of measurement, be specifically related to a kind of method of measuring carbon content by means of the character of material.
Background technology
Current social, the public is to the growing interest of ecological environment problem, and the researcher is also furtheing investigate problems such as land carbon/nitrogen cycle, forest yield-power, and metering and the monitoring to forest biomass and carbon reserves all attached great importance in countries in the world.The history in existing more than 30 year of the national forest resource monitoring system of China, having accumulated a large amount of is the continuous forest inventory data of unit with the province.China has carried out continuous 7 forest inventories of nationwide system, has obtained the forest reserves data that comprises artificial forest and wildwood of a large amount of preciousnesses.At present, the continuous forest inventory data but are rarely used in research and the decision analysis of biomass and carbon reserves except the form that is used for statistics national forestry administrative responsibile institution regulation.Forestry carbon for forest assessment measures at present, mainly contain following two kinds of methods: the one, adopt biomass conversion factor method, realization is to the metering of the total accumulation-total biomass of forest assessment forest-total carbon reserves, the 2nd, adopt biomass conversion factor continuous function method, realize the metering to the total accumulation-total biomass of forest assessment forest-total carbon reserves.
Existing forest assessment achievement statistical data does not provide envirment factor information such as weather conditions and land occupation condition, the relevant factors of enumeration information that provides is also very limited, thereby when utilizing these forest assessment data to measure standing forest biomass and carbon reserves, the effective information that can extract is less, area of woods, the accumulation statistics of have only all kinds of land area statisticss, dividing dominant tree and age group.Thereby, only can use the continuous forest inventory data at present, realize that the volume of timber-biomass transforms and to the carbon metering of country or regional scale by biomass conversion factor method, biomass conversion factor continuous function method, but there is very big-difference in the result of distinct methods metering, and metering precision and interval that the result estimates are not provided.In addition, from the assessment content, main measuring and calculating such as arbor, mao bamboo woods object is not refined to biomass of individual tree and carbon reserves, from evaluation object, sylvan life vegetation (comprising undergrowth, shrub layer, the herbaceous layer) biomass and the carbon reserves that do not comprise forest, only estimated standing forest total biomass and carbon reserves, can't reflect forest Different Organs biomass and carbon reserves, can't biomass and the carbon reserves of sylvan life vegetation (woods undergrowth, shrub layer, herbaceous layer, the thing layer withers and falls) have been measured more.Thereby, at present not enough far away at aspects such as the degree of refinement of estimated accuracy, meter content as a result, metering objects based on the forestry carbon metering on the forest assessment statistics achievement data basis.
Summary of the invention
The present invention is directed to the existing deficiency that exists based on the forestry carbon metering method of forest assessment, proposed that a kind of measuring accuracy is higher, meter content refinement more, metering object be abundanter, aspect estimated accuracy and interval, meter content, the estimation object great raising and improvement are being arranged, can extensively promote the use of based on forest assessment sample trees forestry carbon metering method, satisfy country, provincial to the forestry carbon metering inventory needs of establishment fast simultaneously.
The technical scheme that realizes the object of the invention is:
A kind of metering method of the forestry carbon based on the forest reserves, it comprises step:
S1 selects the Forest Types of different geographic regions, measures the aerial part biomass;
S2 is measuring the soil organic carbon with the same measuring position of S1;
S3 is in the measuring position measurement space information same with S1;
S4: biomass, the carbon content parameter library measured according to S1, S2, S3; Set up unit area carbon content metering model, biomass metering model and/or the carbon reserves computation model of different geographic regions Forest Types;
S5: adopt the systematic sampling statistical method, the carbon reserve estimate result of sample ground level be transformed into the yardstick in macroscopic view zone, in the metering macroscopic view zone each totally, biomass, carbon content and/or the carbon reserves of Different Organs, different objects.
Different geographic regions be chosen for conventional means, according to the sample interval in Sichuan Province, perhaps according to forestry survey sampling spacing, be generally 4 * 4~8km.
Among the described step S1, if Forest Types is arbor, its aerial part biomass is: arbor standing tree biomass, dead and drying tree biomass, understory shrub biomass, the thing biomass withers and falls; If Forest Types is bamboo grove, its aerial part biomass is: arbor standing tree biomass, understory shrub biomass, the thing biomass withers and falls; If Forest Types is bushes, its aerial part biomass is: frutex biological amount, dead and drying tree biomass, the thing biomass withers and falls.
Wherein, described arbor standing tree biomass comprises the biomass of dried, branch, leaf, root; If Forest Types is arbor, described dead and drying tree biomass is the biomass of dried, branch, root.
Wherein, described frutex biological amount gets by dry weight and the fresh weight calculating of bushes layering organ, and described organ comprises branch, leaf, flower or fruit, root; If Forest Types is bushes, described dead and drying tree biomass is the biomass of branch, root.
Be specially: during field measuring, randomly drawing sample in shrub land. each seeds sample process quantity is generally 20~50 strains.
Measure factors of enumeration: measure the height that comprises sample, the factors of enumeration of being preced with the width of cloth, leading thread, branch amount;
Collected specimens: in the open air sample shrub aerial part is cradled from distance face of land 4cm, organs such as branch, leaf, fruit or flower, root are surveyed fresh weight (W aquatic foods), weigh after the drying (W dry sample).
The conversion biomass: calculate sample water percentage (P) by formula (1), converse the biomass (W do) of organs at different levels by formula (2), the biomass addition of organs at different levels just shrub aerial part biomass:
P=1-(the bright sample of W dry sample/W) (1)
W does=W aquatic foods (1-P) (2)
Space information is longitude and latitude, height above sea level among the described step S3.
Unit area among the described step S4 be mu or 0.1 hectare.Metering model among the described step S4 is multiple linear regression model; Regression variable in the described multiple linear regression model comprises the organ biomass of arbor standing tree, dead and drying tree, understory shrub, the thing that withers and falls, spatial information.
The macroscopic view zone is for economizing or country among the described step S5.Method among the step S5 is time metering of " sample trees-sample ground-overall " branch object hierarchy.
Based on the S1-S5 step, can carry out country, the relevant greenhouse gas emission inventory establishment of provincial different aspects forestry.Different aspects department requires the relevant greenhouse gas emission inventory of forestry of establishment different aspects according to the relevant greenhouse gas emission carbon metering inventory of the forestry of international endorsement.
Beneficial effect of the present invention is:
The arbor standing tree biomass spatial spread equation that merges geographical variation is provided, and it is set up, and process is simpler, range of application is wider, spatial spread is wider.Provide the Different Forest Types sylvan life to irritate grass, bamboo grove, spinney biomass, forest soil organic carbon model of fit, abundant more to forestry carbon meter content, measure object refinement more, measuring system is more perfect.By the result of metering method of the present invention, then can carry out country, the relevant greenhouse gas emission inventory establishment of provincial three different aspects forestry, compilation process is more perfect, meets international demand.
Description of drawings
Fig. 1 is the process flow diagram of the metering method of the present invention's proposition.
Embodiment
Now with following most preferred embodiment the present invention is described, but is not used for limiting the scope of the invention.Among the embodiment, if no special instructions, the means of employing are the means of this area routine.
Embodiment 1:
Referring to Fig. 1.15 main forest types (dragon spruces in Sichuan Province, pinus yunnanensis, cypress, China fir, masson pine, larch, other conifers, the birch class, the oak class, camphor tree, nanmu, Populus, eucalyptus belongs to, wealthy firmly, soft wealthy) resource checks 10098 sample ground and 33 years continuous monitoring informations of 7 times of more than 14 ten thousand strain sample trees continuously, 1310 strain forest biomass measured datas and 9415 strain continuous forest inventories are surveyed high sample trees, 582 forest soil organic carbon samples with the forest assessment position consistency carry out systematic analysis research, have set up Sichuan each organ of main forest types dominant tree and (have done, branch, leaf, root), each organ of shrub sociales, the Different Forest Types thing that withers and falls, the forestry carbon First Astronautic Research Institute for Measurement and Test such as soil organic carbon need the carbon content parameter library.Measure and record sample ground longitude and latitude and height above sea level.
During concrete the measurement, if Forest Types is arbor, its aerial part biomass is: arbor standing tree biomass, dead and drying tree biomass, understory shrub biomass, the thing biomass withers and falls; If Forest Types is bamboo grove, its aerial part biomass is: arbor standing tree biomass, understory shrub biomass, the thing biomass withers and falls; If Forest Types is bushes, its aerial part biomass is: frutex biological amount, dead and drying tree biomass, the thing biomass withers and falls.
Wherein, arbor standing tree biomass comprises the biomass of dried, branch, leaf, root; If Forest Types is arbor, described dead and drying tree biomass is the biomass of dried, branch, root.
Wherein, the frutex biological amount gets by dry weight and the fresh weight calculating of bushes layering organ, and described organ comprises branch, leaf, root; If Forest Types is bushes, described dead and drying tree biomass is the biomass of branch, root.
The frutex biological amount gets by dry weight and the fresh weight calculating of bushes layering organ.During field measuring, randomly drawing sample in shrub land, each seeds sample process quantity is 50 strains.
Measure factors of enumeration: factors of enumeration such as the height of mensuration sample, the hat width of cloth, leading thread, branch amount.
Collected specimens: in the open air sample shrub aerial part is cradled from distance face of land 4cm, be one to distinguish section by the every 30cm of Monsic layering patterning method, branch, leaf, flower or fruit, root are surveyed fresh weight (W aquatic foods), and get organ samples at different levels and claim fresh weight (W bright sample), then sample is taken back the laboratory and in 85 ℃ aeration cabinet, dried to absolute dry weight, and weigh (W dry sample).
The conversion biomass: calculate sample water percentage (P) by formula (1), converse the biomass (W do) of organs at different levels by formula (2), the biomass addition of organs at different levels just shrub aerial part biomass:
P=1-(the bright sample of W dry sample/W) (1)
W does=W aquatic foods (1-P) (2)
Adopt the multivariate regression model approximating method, set up standing tree biomass spatial spread equation, the Different Forest Types sylvan life that 15 main forest types in Sichuan Province contain geographical variation and irritate biomass metering model group and forest soil organic carbon model of fit such as grass, the thing biomass that withers and falls, bamboo grove biomass, spinney biomass.
Be example with standing tree, it is as follows that standing tree biomass spatial variability is set up equation:
At first, use forest inventory investigation technical standard, achievement data analysis with the method that the investigation of scientific research treatise combines the Sichuan total body unit of standing tree biomass modeling to be divided; Secondly, utilize the average standing tree in all previous " connecting clear " sample ground, Sichuan to survey high information, mutual the factor (D of the match standing tree diameter of a cross-section of a tree trunk 1.3 meters above the ground (D)-height of tree (H) 2H) with the regression model f (X) of the spatial information factor 1, expand model space range of application; Again, set up mutual the factor (D of actual measurement sample trees 2H) with standing tree Different Organs biomass regression model f (X) 2At last, set up standing tree biomass composite model f (X) by the model stack 3
f(X) 1=aD 2+bD+c(lon) 2+d(lon)+e(lat) 2+f(lat)+g(elev) 2+h(elev)+K
(3)
(3) in the formula, X is sample ground average tree D 2H, lon are longitude, and lat is latitude, and elev is elevation (height above sea level);
f(X) 2=aX+b (4)
(4) in the formula, X is standing tree actual measurement biomass D 2H;
f(X) 3=af(X) 1+b (5)
In the following table 1, be example with the dominant tree dragon spruce, provide the parameter in the regression model:
Table 1: regression model parameter
Model form: f (D 2H)=aD 2+ bD+c (lon) 2+ d (lon)+e (lat) 2+ f (lat)+g (elev) 2+ h (elev)+K
Figure BDA00003378414300061
Model form: y=a (D 2H)+b
Figure BDA00003378414300062
Model form: y=a* (D 2H) ^b
Figure BDA00003378414300063
Model form: y=a* (D 2H) ^b
Model form: y=a* (D 2H) ^b
On the basis that regression model calculates, carry out following steps:
1, use metering model group, carbon content parameter group and calculate and try to achieve each phase forest assessment dipping sample trees individual plant Different Organs (do, branch, leaf, root) biomass and carbon reserves, each organ carbon reserves was recorded and enters in each phase forest assessment dipping sample trees table after all sample ground dipping sample trees measured and finish.
2, dipping sample trees each organ carbon reserves merger arrangement in various kinds ground is entered in each continuous forest inventory sample ground essential information factor table of each phase.
3, each sample ground is carried out difference metering object, different levels employing systematic sampling statistical method, the micro-scale carbon reserve estimate results of measuring of sample ground level is transformed into the whole province's macro-scale, assessment each overall biomass of the whole province and carbon reserve estimate value, estimation precision and estimation are interval, and each index computing formula of sampling is: (sampling calculation method of the whole province's carbon reserves)
Y = N n Σ i = 1 n y t - - - ( 6 )
S - N n ( n - 1 ) 1 ( Σ i = 1 n y i 2 n 1 ( Σ i = 1 n y t ) n ) ( 1 N n ) - - - ( 7 )
E n = t n × S y y × 100 % - - - ( 8 )
P n=100%-E n (9)
( Y - N t α s y Y + N t α s y ) - - - ( 10 )
In the formula (6-10): y iBe sampling sample ground investigation biomass and carbon reserves, n is sample survey sample ground number, and N is the population sample number, t αBe reliability index, S yBe the sample standard error.
Use each dominant tree biomass of individual tree model in metering model storehouse and the carbon content rate parameter library, each Forest Types unit area biomass metering model and carbon content parameter, divide object hierarchy time metering according to " sample trees--sample ground---overall ", estimation Sichuan 1988,1992,1997,2002,2007, each overall different each organ of seeds dipping sample trees of 2,012 six phases forest assessment, biomass and the carbon reserves of the different metering of sample ground yardstick object, adopt the systematic sampling statistical method, the carbon reserve estimate result of sample ground level is transformed into macroscopic view zone (Sichuan Province), metering region interior 1988,1992,1997,2002,2007,2,012 six phases, each was overall, different objects, the biomass of Different Organs and carbon reserves.
Application can be used for working out country, the relevant greenhouse gas emission inventory of provincial aspect forestry based on Sichuan 1988, six different times continuous forest inventory forestry carbon metering achievements in 1992,1997,2002,2007,2012.
Metering method according to present embodiment, carry out the forestry carbon metering in Sichuan Province based on Sichuan Province's forest assessment data in 2012, wherein the biomass C error in dipping is arbor, the shrub that 8.98%(lives), the withered thing carbon 20.5% that withers and falls, soil organic carbon 20.2%, overall carbon reserves evaluated error is 14.26%, illustrates that metering method of the present invention has higher accuracy.

Claims (8)

1. the metering method based on the forestry carbon of the forest reserves is characterized in that, comprises step:
S1 selects the Forest Types of different geographic regions, measures the aerial part biomass;
S2 is measuring the soil organic carbon with the same measuring position of S1;
S3 is in the measuring position measurement space information same with S1;
S4: biomass, the carbon content parameter library measured according to S1, S2, S3; Set up unit area carbon content metering model, biomass metering model and/or the carbon reserves computation model of different geographic regions Forest Types;
S5: adopt the systematic sampling statistical method, the carbon reserve estimate result of sample ground level be transformed into the yardstick in macroscopic view zone, in the metering macroscopic view zone each totally, biomass, carbon content and/or the carbon reserves of Different Organs, different objects.
2. metering method as claimed in claim 1 is characterized in that, among the described step S1, if Forest Types is arbor, its aerial part biomass is: arbor standing tree biomass, dead and drying tree biomass, understory shrub biomass, the thing biomass withers and falls; If Forest Types is bamboo grove, its aerial part biomass is: arbor standing tree biomass, understory shrub biomass, the thing biomass withers and falls; If Forest Types is bushes, its aerial part biomass is: frutex biological amount, dead and drying tree biomass, the thing biomass withers and falls.
3. metering method as claimed in claim 2 is characterized in that, that described arbor standing tree biomass comprises is dried, the biomass of branch, leaf, root; If Forest Types is arbor, described dead and drying tree biomass is the biomass of dried, branch, root.
4. metering method as claimed in claim 2 is characterized in that, described frutex biological amount gets by dry weight and the fresh weight calculating of bushes layering organ, and described organ comprises branch, leaf, flower or fruit, root; If Forest Types is bushes, described dead and drying tree biomass is the biomass of branch, root.
5. metering method as claimed in claim 1 is characterized in that, space information is longitude and latitude, height above sea level among the described step S3.
6. metering method as claimed in claim 1 is characterized in that, the unit area among the described step S4 be mu or 0.1 hectare.
7. metering method as claimed in claim 1 is characterized in that, the metering model among the described step S4 is multiple linear regression model; Regression variable in the described multiple linear regression model comprises the organ biomass of arbor standing tree, dead and drying tree, understory shrub, the thing that withers and falls, and spatial information.
8. metering method as claimed in claim 1 is characterized in that, the macroscopic view zone is for economizing or country among the described step S5.
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Cited By (11)

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CN104933233A (en) * 2015-06-03 2015-09-23 西南林业大学 Research method of biomass distribution characteristics of emblic leafflower fruit bushwood ecosystem
CN105243269A (en) * 2015-09-23 2016-01-13 上海市园林科学研究所 Uncertainty evaluating method for estimating regional scale biomass based on single tree biomass model
CN106227965A (en) * 2016-07-29 2016-12-14 武汉大学 A kind of soil organic matter Spatial sampling network design method taking spatial and temporal distributions non-stationary characteristic into account
CN110020962A (en) * 2019-04-03 2019-07-16 海南省林业科学研究所 A method of land use change survey information is obtained based on forest resource survey data
CN110032611A (en) * 2019-04-03 2019-07-19 海南省林业科学研究所 A kind of carbon remittance measure monitor method
CN110175371A (en) * 2019-05-08 2019-08-27 汪少华 A kind of greening residue theoretical amount statistical calculation method
CN110596343A (en) * 2019-07-26 2019-12-20 海南省林业科学研究所 Research method for carbon reserves of forest soil
CN110609129A (en) * 2019-07-26 2019-12-24 海南省林业科学研究所 Method for researching physical, chemical and biological characteristics of forest soil
CN111781200A (en) * 2020-07-20 2020-10-16 云南财经大学 Research method for carbon reserves of forest soil
CN114018332A (en) * 2021-11-09 2022-02-08 北京林业大学 Handheld forestry telescope super station instrument observation equipment and method
CN114924034A (en) * 2022-05-06 2022-08-19 贵州师范大学 Forestry carbon measurement system based on ecological process model

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104933233A (en) * 2015-06-03 2015-09-23 西南林业大学 Research method of biomass distribution characteristics of emblic leafflower fruit bushwood ecosystem
CN105243269A (en) * 2015-09-23 2016-01-13 上海市园林科学研究所 Uncertainty evaluating method for estimating regional scale biomass based on single tree biomass model
CN106227965B (en) * 2016-07-29 2020-01-10 武汉大学 Soil organic carbon space sampling network design method considering non-stationary characteristics of space-time distribution
CN106227965A (en) * 2016-07-29 2016-12-14 武汉大学 A kind of soil organic matter Spatial sampling network design method taking spatial and temporal distributions non-stationary characteristic into account
CN110020962A (en) * 2019-04-03 2019-07-16 海南省林业科学研究所 A method of land use change survey information is obtained based on forest resource survey data
CN110032611A (en) * 2019-04-03 2019-07-19 海南省林业科学研究所 A kind of carbon remittance measure monitor method
CN110175371A (en) * 2019-05-08 2019-08-27 汪少华 A kind of greening residue theoretical amount statistical calculation method
CN110596343A (en) * 2019-07-26 2019-12-20 海南省林业科学研究所 Research method for carbon reserves of forest soil
CN110609129A (en) * 2019-07-26 2019-12-24 海南省林业科学研究所 Method for researching physical, chemical and biological characteristics of forest soil
CN111781200A (en) * 2020-07-20 2020-10-16 云南财经大学 Research method for carbon reserves of forest soil
CN114018332A (en) * 2021-11-09 2022-02-08 北京林业大学 Handheld forestry telescope super station instrument observation equipment and method
CN114924034A (en) * 2022-05-06 2022-08-19 贵州师范大学 Forestry carbon measurement system based on ecological process model
CN114924034B (en) * 2022-05-06 2024-05-14 贵州师范大学 Forestry carbon metering system based on ecological process model

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