The invention belongs to the technical field of environmental assessment and in particular, relates to a method for estimating carbon storage in coastal ecosystems.
Typical coastal ecosystems generally include three common plant types: coastal trees and tall shrubs, tidal salt marshes, and seagrass beds. These three plant types enable coastal ecosystems to withstand storm surges, slow sea-level rise and reduce coastal erosion. Due to the growth, reproduction and death of plants themselves, coastal ecosystems also have ecological and environmental functions such as carbon sequestration, water quality regulation, nutrient capture, and habitat provision for organisms.
Due to the rich plant species and considerable reserves in the coastal plant belt, the role of coastal ecosystems in carbon sequestration is very significant. If it is degraded, it will become a severe source of carbon emissions. There is no relatively complete method for estimating carbon storage in coastal ecosystems. Feasible and fairly accurate carbon stock estimates are the scientific basis for establishing carbon financing mechanisms for coastal ecosystems.
The present invention's aim is to provide a method for estimating carbon stocks in coastal ecosystems to reduce or avoid the problems above.
In order to solve the above problems, the present invention provides a method for estimating carbon stocks in coastal ecosystems, which comprises the following steps:
Theoretically, the spatial boundary used for carbon stocks estimation can range from tens of hectares to hundreds of square kilometers. The commonly considered methods are: physical boundary division; administrative boundary division and biological boundary division. The present invention proposes a new boundary division method: a boundary division method based on water body communication, which belongs to a physical boundary division method.
Spatial boundary determination of coastal ecosystems in the step (a) specifically includes the following content:
After repeated on-site investigations and comparative analysis, the inventor found that by using the above boundary division method, coastal ecosystems can be classified according to the spatial organization, avoiding the roughness of physical boundary division and the unreasonable administrative boundary division. Supportive and creatively reduce the difficulty for investigators to use biological boundaries. The resulting carbon stock estimates did not differ significantly from the full-area survey using the biological boundary division method.
Methods for determining dominant plant species in different coastal ecosystems: traditionally, it is necessary to identify dominant plant species and divide the area of mixed species according to different plant proportions. When a species occupies the majority area of the area, it is identified as this species is the dominant species, and the area occupied by it needs to be measured, while the area occupied by other non-dominant species also needs to be recorded.
In the above-mentioned step (b) of the present invention, the method for determining the dominant plant species specially used for calculating the carbon stocks is:
The plant species in coastal ecosystems are divided into three types: coastal trees and tall shrubs; tidal salt marshes; and seagrass beds; and all other plants are classified into these three types. The shrubs or trees, which height exceeds 1.2 m are classified as coastal trees, those less than 1.2 m and higher than 0.1 m are classified as tidal salt marshes, and those less than 0.1 m are classified as seagrass bed plants. The CO2 equivalent is 0.01415 kg/m2 for coastal trees, 0.00935 kg/m2 for tidal salt marshes, and 0.00396 kg/m2 for seagrass beds.
If the estimated coastal ecosystem includes an estuary area, it is classified into a single plant-dominant area, which is named as a freshwater plant dominant area because its main carbon source is fluvial carbon.
In the above step (c) of the present invention, the calculation of carbon source in the freshwater plant dominant area, the specific method is:
The suspended sediments sampling method is: using the sampling buckets to obtain samples from a cross-section of the river, the sampling points are evenly distributed in the cross-section.
In which, W is the total annual runoff of the river (m3), and Wyc is the annual input carbon dioxide equivalent of the river (kg), Wc is the carbon weight per cubic meter (kg/m3).
In the above step (d) of the present invention, the carbon source sampling point size setting of the coastal ecosystem, the specific setting method is as follows:
For coastal trees type areas, use a side length of 50 m×50 m as the sampling unit.
For tidal salt marsh type, use a side length of 1 m×1 m as the sampling unit.
An area defined as a seagrass bed type was selected, and a 1 m×1 m area was used as the sampling unit.
In the above step (e) of the present invention, the sampling method of carbon source sampling point of the coastal ecosystem is:
Measure the diameter D at breast height (DBH) of all coastal trees in the sampling unit, and the height of the trunk H, select the plant with the largest diameter at breast height, use a laser scanner to measure and calculate the appearance size of the crown of the largest plant, and integrate to obtain its crown volume V, and calculate its biological amount, converted to carbon.
There are two main plant groups in tidal salt marshes: low shrubs and terrestrial herbs. Due to their mixed planting status, it is difficult to clearly classify them. After years of on-site investigation and calculation, the inventor proposed the following methods to sample them:
All the living plants above the soil are cut down, dried and weighed, and used to calculate the carbon content of the above-ground part.
Take the tidal salt marsh soil with a depth of 1 m and a length and width of 1 m, 1) cleaning to obtain all the root systems; 2) carrying out specific gravity sieving on the cleaned mixed solution, and sieving out the part that obviously belongs to sediment and inorganic calcium, retain the humus and organic matter, and put the humus and organic matter into the transport sampling tank; 3) weigh the sieved sandy part and wash it with dilute hydrochloric acid, weigh the washed weight, and calculate the amount of carbon in the washed calcium carbonate, recharge all sandy parts into the sampling pit.
Mow all the live seagrass on the sampling square of the seagrass bed, bring it back to the lab test, dry and weigh it, and calculate its carbon content.
A Luoyang shovel sampler with a cross-sectional area of 0.01 m2 was used to obtain soils with a depth of 1 m in each of the four corners and the center of the sample unit. When the soil depth of the plot was less than 1 m, the actual depth was recorded.
When the sample was brought back to the test, the carbon content was obtained by water washing and acid washing.
The carbon source estimation methods of coastal ecosystems in the above step (f), include the following:
The formula for calculating the dry weight of the trunk biomass is: Bs=830×Dmax1.92Havg
The calculation formula of canopy biomass is: Bc=3.497×V
Wcrown=Bc×0.454;
Wtrunk=Bs×0.465;
Wroot=2.67Scrown;
Wc=Wcrown+Wtrunk+Wroot
The carbon dioxide equivalent of all live plants in the plot is:
Wcs=n×(Davg/Dmax)×Wc
Among them, n is the number of plants in the plot, Davg is the average diameter of all plants in the plot, and Dmax is the maximum DBH in the plot.
The soil of 1 m×1 m×1 m in each of the four corners of the sampling square was burned, and the carbon content was measured and averaged to represent the soil carbon content in the sample square.
Through repeated tests and comparisons, the inventor found that in the coastal forest belt composed of tall shrubs and trees, using the thickest plant in a quadratic as a representative, the error between carbon content statistics and reality is small, and the sample is greatly reduced. Statistical workload. In particular, the use of the coefficient between the crown and the root system to calculate the root carbon content completely solves the complex problem of the root carbon content of living plants, which is accurate and efficient.
All the living plants above the soil were cut down, dried and weighed, and used to calculate the carbon content of the above-ground part, for the underwater part, the carbon content of organic matter and the inorganic matter was measured by water washing and acid washing respectively.
After repeated sampling, measurement and calculation, the inventor found that the main carbon sources in tidal salt marshes are the carbon in the underground root system and humus organic matter. Moreover, the carbon source data of one sampling square can represent a large area with similar vegetation distribution, and the represented area is obviously distributed in strips along the coastline.
For the part above the seabed, it is dried and weighed, and its carbon content is obtained by the burning method.
For the part below the seabed, the sample was washed with water to obtain its carbon content by the burning method, and the carbon content of the part below the seabed in the quadrature was converted.
The beneficial effects of the present invention are:
The following drawings are only intended to illustrate and explain the present invention schematically and do not limit the scope of the present invention. Wherein,
The present invention will be further described below with reference to specific embodiments, but the protection scope of the present invention is not limited thereto.
As shown in
The dominant plant classification area of the coastal ecosystem is determined, the dominant plants in this project grow along the coastal zone, as shown in
The plant species in coastal ecosystems are divided into three types: coastal trees and tall shrubs; tidal salt marshes; and seagrass beds; and all other plants are classified into these three types. The shrubs or trees whose height exceeds 1.2 m are classified as coastal trees, those less than 1.2 m and higher than 0.1 m is classified as tidal salt marshes, and those less than 0.1 m are classified as seagrass bed plants.
There is no other data to support this example, and the following data are used to calculate the carbon dioxide equivalent:
The carbon dioxide equivalent of coastal trees was 0.01415 kg/m2, the carbon dioxide equivalent of tidal salt marshes was 0.00935 kg/m2, and the carbon dioxide equivalent of seagrass beds was 0.00396 kg/m2.
If the estimated coastal ecosystem includes an estuary area, it is divided into a plant-dominant area, which is called a freshwater plant-dominant area because its main carbon source is from river sediments.
The carbon dioxide equivalent of the freshwater plant dominant area is divided by the width of the estuary area along the river width:
The calculation method of the width along the river lateral direction is: river lateral direction width=minimum water level river width at the lowest tide level+left bank riparian width+right bank riparian width.
When the width of the river in the lateral direction is ≥5 km, the carbon dioxide equivalent in the estuary area is 0.00287 kg/m2.
When the width of the river in the lateral direction is 5 km>1.5 km, the carbon dioxide equivalent in the estuary area is 0.00307 kg/m2.
When the width of the river in the lateral direction is less than 1.5 km, the carbon dioxide equivalent in the estuary area is 0.00162 kg/m2.
In this example, the freshwater plant's dominant area's river width is 1.47 km and less than 1.5 km, so its carbon dioxide equivalent is 0.00162 kg/m2.
Estimate Carbon Stocks in the Project Area:
The step (a) and step (b) is the same as in Example 1. For different plant species classification areas in the ecosystem, the carbon amount is estimated by the following method instead of using the fixed value of Example 1.
The specific calculation method is:
In which, W=56.1×109 m3 is the total annual runoff of the river, and Wyc is the annual input carbon dioxide equivalent of the river.
The carbon source sampling point size setting of the coastal ecosystem, the specific setting method is as follows:
Areas defined as coastal trees were selected, with a side length of 50 m×50 m unit to divide the area.
Select an area defined as a tidal salt marsh type, and use a side length of 1 m×1 m unit to divide the area.
An area defined as a seagrass bed type was selected, and a 1 m×1 m unit was used to divide the area.
Sampling methods for carbon source sampling points in coastal ecosystems.
In the above step (e), the sampling method of carbon source sampling point of the coastal ecosystem is:
Measure the DBH and trunk height H of all coastal trees in the sampling unit, see Table 2, select the plant with the largest DBH, and use a laser scanner to measure and calculate the canopy volume V of the largest plant, see
Th tree with the largest diameter at breast height in the above table is No. 4, the diameter at breast height is 0.169 m, and the trunk height is 1.53 m. The appearance size of the crown is measured with a laser scanner, and the crown volume V=5.03 m3.
In step (f), the carbon source estimation methods for the above six coastal ecosystems include the following:
The formula for calculating the dry biomass of the canopy is: Bc=3.497×V=17.59 (kg)
The formula for calculating the dry weight of the trunk biomass is: Bs=830×Dmax1.92Havg=830×0.1691.92×1.37=28.5 (kg)
Wcrown=Bc×0.454=17.59×0.454=7.98 kg;
Wtrunk=Bs×0.465=28.5×0.465=13.25 kg
Wroot=2.67Scrown=2.67×7.98=21.32 kg;
Wc=Wcrown+Wtrunk+Wroot=7.98+13.25+21.32=42.56 kg
Dmax is the maximum diameter at breast height in the plot, and Havg is the average plant height in the sampling unit.
The carbon dioxide equivalent of all live plants in the plot is:
Wcs=n×(Davg/Dmax)×Wc
Wcs=21×(0.098/0.169)×42.56=518 kg
In which, n is the number of plants in the plot, Davg is the average diameter of all plants in the sampling unit, and Dmax is the maximum DBH in the sampling unit.
Through repeated tests and comparisons, the inventor found that in the coastal forest belt composed of tall shrubs and trees, using the thickest plant in a quadratic as a representative, the error between carbon content statistics and reality are small. The sample is small is greatly reduced statistical workload. In particular, the coefficient between the crown and the root system to calculate the root carbon content completely solves the complex problem of the root carbon content of living plants, which is accurate and efficient.
The carbon dioxide equivalent conversion formula for the dry weight of plants in this sample square is:
To calculate the canopy volume, the CO2 equivalent of the crown was calculated using the CO2 equivalent parameter of 0.454, and the CO2 equivalent of the trunk was calculated using the parameter 0.465. The total CO2 equivalent of the roots and surrounding humus soil was 2.67 times the CO2 equivalent of the crown.
In this example, the tall shrub and coastal tree type area are 11711816.9 m2, and the carbon dioxide equivalent of the tall shrub is 2426688.5 kg.
There are two main plant groups in tidal salt marshes: low shrubs and terrestrial herbs. Due to their mixed planting status, it is difficult to classify them clearly. After years of on-site investigation and calculation, the inventor proposed the following methods to sample them:
All the live plants above the plot's soil were cut down, dried and weighed to obtain a total weight of 3.2 kg of dry matter, where the unit is 1 m2. The carbon dioxide equivalent obtained by the combustion method is 1.28 kg, and the carbon dioxide equivalent parameter of the mixed dry matter of the tidal salt marsh surface vegetation is 1.28 kg/m2.
Take the tidal salt marsh soil with a depth of 1 m and a length and width of 1 m, 1) cleaning to obtain all the root systems therein; 2) carrying out specific gravity sieving on the cleaned mixed solution, and sieving out the part belonging to sediment and inorganic calcium, retain the humus and organic matter and put the humus and organic matter into the transport sampling tank; 3) weigh the sieved sandy part and wash it with dilute hydrochloric acid, weigh the washed weight, and calculate the amount of carbon in the washed calcium carbonate, recharge all sandy parts into the sampling pit.
The total weight of humus and organic matter obtained after cleaning the root system is 5.92 kg; the carbon dioxide weight obtained by burning is 2.37 kg.
The amount of carbon dioxide obtained was 0.18 kg.
In this way, the carbon dioxide equivalent parameter of the tidal salt marsh sampling point is Wsalt marsh=Wabove ground part+Wunderground part+Wcalcium carbonate=1.28+2.37+0.18=3.83 kg/m2.
In this example, the area of the tidal salt marsh area is 7492114.1 m2, and the carbon dioxide equivalent of the tidal salt marsh area is calculated to be 28694797 kg.
Mow all the live seagrass on the sampling square of the seagrass bed, take it back to the laboratory, dry it and weigh it.
A Luoyang shovel sampler with a cross-sectional area of 0.01 m2 was used to obtain soils with a depth of 1 m in each of the four corners and the unit's centre. When the soil depth of the unit was less than 1 m, the actual depth was recorded. Take it back to the laboratory for washing and drying.
The carbon dioxide equivalent of the sample was measured by the combustion method of the above organic matter.
The carbon dioxide equivalent obtained in the quadrat of this example is 0.034 kg/m3, and the carbon dioxide equivalent of the seagrass bed in the survey area is 294318.7 kg.
The carbon dioxide equivalent of the entire survey area is calculated as follows: the annual carbon dioxide equivalent of the river: is 55589490 kg+the carbon dioxide equivalent of tall shrubs is 2426688.5 kg+the carbon dioxide equivalent of the tidal salt marsh area is 28694797 kg+the carbon dioxide equivalent of the seagrass bed is 294318.7 kg=87005 T.
While the present invention has been explained by reference to the examples of preferred embodiments described above, it will be appreciated that those are examples to assist in understanding the present invention and are not meant to be restrictive. Variations or modifications that are obvious or trivial to persons skilled in the art and improvements made thereon should be considered equivalents of the invention.
Number | Date | Country | Kind |
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202111200918.7 | Oct 2021 | CN | national |
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20180267205 | Harris | Sep 2018 | A1 |
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20230118669 A1 | Apr 2023 | US |