Method for rapidly detecting grassland oxygen release capacity based on grassland environment measurement model

Abstract

The invention relates to the technical field of grassland environment monitoring, and particularly discloses a method for rapidly detecting the oxygen release capacity of a grassland based on a grassland environment monitoring model. Comprising the following steps: establishing a grassland environment measurement model according to a grassland plant dynamic change condition, and calculating to obtain an oxygen release dynamic parameter; dividing the to-be-measured grassland into a plurality of detection areas according to the oxygen release dynamic parameters; setting representative area plant data in each detection area and collecting the representative area plant data; calculating optimization parameters corresponding to each detection area according to the oxygen release dynamic parameters and the plant data; applying the optimization parameters to a grassland environment measurement model to calculate and obtain the oxygen release capacity corresponding to each detection area; and summarizing and calculating the oxygen release capacity of each detection area to obtain the oxygen release capacity of the grassland. The grassland oxygen release capability can be rapidly and accurately detected, data support is provided for grassland ecological research and protection, the detection efficiency and accuracy are improved, and the detection cost and time are reduced; the detection efficiency of the oxygen release capacity of the grassland can be remarkably improved.

Description

Technical Field

[0001] The invention relates to the technical field of grassland environment monitoring, and specifically discloses a method for quickly detecting grassland oxygen release capacity based on a grassland environment monitoring model. Background Art

[0002] 1. As one of the most important ecosystems on Earth, grassland not only plays a key role in maintaining biodiversity, conserving water and soil, and regulating climate, but its oxygen release capacity also has a profound impact on the global ecological balance. Accurately assessing the oxygen release capacity of grasslands is of great significance for understanding the health status of grassland ecosystems, the value of ecological service functions, and formulating reasonable grassland protection and management strategies. With the increasing interference of global climate change and human activities on grassland ecosystems, such as overgrazing, reclamation, and tourism development, the ecological environment of grasslands faces many challenges, and its oxygen release capacity has also changed accordingly. Therefore, it is particularly urgent to detect the oxygen release capacity of grasslands in a timely and accurate manner.

[0003] 2. The existing detection of grassland oxygen release capacity mainly relies on traditional field measurements and empirical estimation methods. Field measurements usually require setting up multiple monitoring points on a large area of ​​grassland, collecting data such as the photosynthetic rate and respiration rate of plants through professional equipment, and then calculating the oxygen release capacity of the grassland. However, this method has obvious drawbacks. On the one hand, the grassland is vast and the terrain is complex and diverse. Field measurements not only consume a lot of manpower, material resources and time costs, but also make it difficult to achieve comprehensive coverage monitoring of the entire grassland, resulting in insufficient representativeness of the data. On the other hand, field measurements are greatly affected by natural factors such as weather and seasons. For example, in severe weather conditions, the measurement work cannot be carried out normally, which affects the continuity and accuracy of the data.

[0004] The empirical estimation method roughly estimates the oxygen release capacity of grasslands based on previous research data and observation experience, combined with the vegetation type and coverage of grasslands. However, this method lacks real-time consideration of the dynamic changes of grassland plants and cannot accurately reflect the differences in grassland oxygen release capacity in different years, seasons and regions. In addition, due to the wide variety of grassland plants and the complex and changeable growth conditions, it is difficult to accurately evaluate the oxygen release capacity based on empirical estimation alone, which can easily lead to large deviations between the estimated results and the actual situation.

[0005] 3. At present, there are relatively few technical studies on grassland oxygen release capacity detection, and a mature, efficient and accurate detection system has not yet been formed. The existing detection methods cannot meet the needs of fine-grained and dynamic monitoring of grassland ecosystems, and it is difficult to obtain accurate grassland oxygen release capacity data in a short period of time, thus limiting the in-depth study of grassland ecosystems and the formulation of scientific management decisions.

[0006] In this context, the method proposed in the present invention for quickly detecting grassland oxygen release capacity based on grassland environmental measurement model has important practical significance. By establishing a grassland environmental measurement model, the method comprehensively considers factors such as dynamic changes of grassland plants, dynamic parameters of oxygen release, and various plant data, and can achieve rapid and accurate detection of grassland oxygen release capacity, effectively making up for the shortcomings of traditional detection methods, providing strong technical support for grassland ecological research and protection, and helping to promote the sustainable development of grassland ecosystems. Summary of the invention

[0007] The invention discloses a method for quickly detecting the oxygen release capacity of grassland based on a grassland environmental measurement model. The method can be used to quickly detect the oxygen release capacity of grassland.

[0008] The technical solution adopted by the present invention to solve the above technical problems is: a method for quickly detecting the oxygen release capacity of grassland based on a grassland environmental measurement model, comprising:

[0009] S100: Establishing a grassland environmental measurement model based on the dynamic changes of grassland plants and calculating the dynamic parameters of oxygen release;

[0010] S200: Divide the grassland into multiple detection areas based on oxygen release dynamic parameters;

[0011] S300: setting a representative area from each detection area to collect plant data; S400: obtaining the optimization parameters corresponding to each detection area based on the oxygen release dynamic parameters and the plant data;

[0012] S500: applying the optimized parameters to the grassland environmental monitoring model, and calculating the oxygen release capacity corresponding to each detection area;

[0013] S600: Summarize the oxygen release capacity of each detection area to obtain the grassland oxygen release capacity.

[0014] Further, in S100, the oxygen release dynamic parameter is calculated by the following method: S111: Obtain the annual oxygen release of all plants in the sample plot, and divide all plants in the sample plot into Class I plants, Class II plants, and Class III plants according to their growth status; The calculation formula for the annual oxygen release of plants is as follows:

[0015]

[0016] in, Indicates the total oxygen released by plants this year. Indicates the oxygen content ratio of plants, is the average oxygen release coefficient.

[0017] S112: Calculate the annual total oxygen release of each type of plants to obtain the annual total oxygen release of type one plants, the annual total oxygen release of type two plants, and the annual total oxygen release of type three plants; the annual total oxygen release of type one plants is calculated by adding up the annual total oxygen releases of all type one plants, the annual total oxygen release of type two plants is calculated by adding up the annual total oxygen releases of all type two plants, and the annual total oxygen release of type three plants is calculated by adding up the annual total oxygen releases of all three types of plants.

[0018] S113: Calculate the variance of the annual total oxygen release of each type of plant respectively, and obtain the oxygen release dynamic parameter according to the variance of the annual total oxygen release of each type of plant.

[0019] Furthermore, S200 specifically includes the following contents:

[0020] When the oxygen release dynamic parameter is less than the first oxygen release parameter, the grassland is divided into detection areas;

[0021] When the first oxygen release parameter ≤ the oxygen release dynamic parameter < the second oxygen release parameter, the grassland is divided into detection areas;

[0022] When the second oxygen release parameter ≤ the oxygen release dynamic parameter < the third oxygen release parameter, the grassland is divided into detection areas;

[0023] in, is the number of actual detection areas.

[0024] Furthermore, S300 also includes the following contents:

[0025]

[0026] in, Indicates The area of ​​the detection area, Indicates represents the area of ​​the region, is the proportionality coefficient. from , , To retrieve the value.

[0027] Furthermore, S400 specifically includes the following contents:

[0028] Plant data include: species diversity value, vegetation coverage value, plant density value, terrain value, soil value. The first structural factor is calculated based on the species diversity value, vegetation coverage value, and plant density value. The second structural factor is calculated based on the terrain value and soil value. Then, the optimization parameters corresponding to each detection area are calculated by the following formula:

[0029]

[0030] in, Indicates The optimization parameters of the detection area are represents the oxygen release dynamic parameter, is the first structure factor, is the second structure factor.

[0031] Furthermore, in S100, the grassland environmental monitoring model is established by the following method:

[0032] S121: Based on the annual total oxygen release of Class I plants, Class II plants and Class III plants, the average annual total oxygen release of Class I plants, the average annual total oxygen release of Class II plants and the average annual total oxygen release of Class III plants are calculated; the annual total oxygen release of Class I plants is calculated by adding up the annual total oxygen release of all Class I plants, the annual total oxygen release of Class II plants is calculated by adding up the annual total oxygen release of all Class II plants, and the annual total oxygen release of Class III plants is calculated by adding up the annual total oxygen release of all Class III plants.

[0033] S122: The oxygen release contribution value of the first category of plants, the oxygen release contribution value of the second category of plants, and the oxygen release contribution value of the third category of plants are calculated based on the average annual total oxygen release of the first category of plants, the average annual total oxygen release of the second category of plants, and the average annual total oxygen release of the third category of plants.

[0034] S123: constructing a grassland environmental measurement model through the oxygen release contribution value of the first type of plants, the oxygen release contribution value of the second type of plants, and the oxygen release contribution value of the third type of plants. The construction of the grassland environmental measurement model is achieved through the following formula:

[0035]

[0036] in, Indicates the oxygen release of grassland, Indicates the oxygen release of a type of plant. Indicates the oxygen release of the second type of plants, Indicates the oxygen release of three types of plants, , , They represent the oxygen release contribution values ​​of type one plants, type two plants, and type three plants respectively.

[0037] Furthermore, in S500, the optimization parameters are applied to the grassland environmental monitoring model to obtain the following formula:

[0038]

[0039] in, Indicates The oxygen release capacity corresponding to each detection area is Indicates The optimization parameters of the detection area are Represents the optimization correction factor.

[0040] Beneficial Effects

[0041] Compared with the prior art, the advantages of the present invention are: the present invention divides the grassland into multiple detection areas according to the oxygen release dynamic parameters, and then sets representative areas from the detection areas to reduce the data collection amount and collection areas for grassland oxygen release capacity detection, and then optimizes the grassland environmental measurement model based on the oxygen release dynamic parameters and the collected plant data, so as to obtain more accurate calculation values ​​for each detection area; the method of the present invention can quickly and efficiently detect the oxygen release capacity of the grassland, with low cost and high accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a flowchart of the steps of a method for quickly detecting the oxygen release capacity of grassland based on a grassland environmental measurement model of the present invention. DETAILED DESCRIPTION

[0043] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, specific embodiments of the present invention are described in detail below.

[0044] This embodiment provides a method for quickly detecting the oxygen release capacity of grassland based on a grassland environmental measurement model, including:

[0045] S100: Establishing a grassland environmental measurement model based on the dynamic changes of grassland plants and calculating the dynamic parameters of oxygen release;

[0046] S200: Divide the grassland into multiple detection areas based on oxygen release dynamic parameters;

[0047] S300: setting a representative area from each detection area to collect plant data; S400: obtaining the optimization parameters corresponding to each detection area based on the oxygen release dynamic parameters and the plant data;

[0048] S500: applying the optimized parameters to the grassland environmental monitoring model, and calculating the oxygen release capacity corresponding to each detection area;

[0049] S600: Summarize the oxygen release capacity of each detection area to obtain the grassland oxygen release capacity.

[0050] Among them, S100 specifically includes the following contents:

[0051] S111: Obtain the annual oxygen release of all plants in the sample plot, and classify all plants in the sample plot into first-class plants, second-class plants, and third-class plants according to their growth status;

[0052] In this step, grasslands of different regions and vegetation types are selected as detection objects in summer and autumn, including natural ecological grasslands and some artificial grasslands. The plant species cover different varieties of herbaceous plants, and then the biomass of each plant is measured, and the total biomass and oxygen release of the plants are obtained by actual measurement and calculation. The composition of the total biomass includes leaf biomass, stem biomass and root biomass. By multiplying by the average oxygen release coefficient, the total oxygen release of the plants of this type of plants this year is obtained. The average oxygen release coefficient is calculated by numerically calculating the values ​​of different regions and different types of detection areas, generally between 0.35-0.56, and 0.45 is selected in this embodiment. The calculation formula of the annual oxygen release of plants T is as follows:

[0053]

[0054] in, Indicates the total oxygen released by plants this year. Indicates the oxygen content ratio of plants, is the average oxygen release coefficient.

[0055] S112: Calculate the annual total oxygen release of each type of plant to obtain the annual total oxygen release of type 1 plants, the annual total oxygen release of type 2 plants, and the annual total oxygen release of type 3 plants. The annual total oxygen release of type 1 plants is calculated by adding the annual total oxygen release of all type 1 plants, the annual total oxygen release of type 2 plants is calculated by adding the annual total oxygen release of all type 2 plants, and the annual total oxygen release of type 3 plants is calculated by adding the annual total oxygen release of all type 3 plants.

[0056] S113: Calculate the variance of the annual total oxygen release of each type of plant, and obtain the oxygen release dynamic parameter according to the variance of the annual total oxygen release of each type of plant. The variance of the annual total oxygen release of each type of plant is calculated by the following method:

[0057]

[0058] in, Indicates The variance of the total annual oxygen release of plants, Indicates Plant The total annual oxygen release in Indicates The average annual total oxygen release of plants.

[0059] The oxygen release dynamic parameters are obtained according to the variance of the annual total oxygen release of each type of plant through the following formula:

[0060]

[0061] in, represents the oxygen release dynamic parameter, is the average oxygen release coefficient, , , They represent the variance of the annual total oxygen release of type one plants, type two plants, and type three plants, respectively.

[0062] In S100, the grassland environmental monitoring model is established by the following method:

[0063] S121: Calculate the average annual total oxygen release of Class I plants based on the annual total oxygen release of Class I plants, Class II plants, and Class III plants , the average annual total oxygen release of the second type of plants , the average annual total oxygen release of three types of plants .

[0064] S122: The oxygen release contribution value of the first category of plants, the oxygen release contribution value of the second category of plants and the oxygen release contribution value of the third category of plants are calculated based on the average annual total oxygen release of the first category of plants, the average annual total oxygen release of the second category of plants and the average annual total oxygen release of the third category of plants.

[0065] S123: constructing a grassland environmental measurement model through the oxygen release contribution value of the first type of plants, the oxygen release contribution value of the second type of plants, and the oxygen release contribution value of the third type of plants. The construction of the grassland environmental measurement model is achieved through the following formula:

[0066]

[0067] in, Indicates the oxygen release of grassland, Indicates the oxygen release of a type of plant. Indicates the oxygen release of the second type of plants, Indicates the oxygen release of three types of plants, , , They represent the oxygen release contribution values ​​of Class I plants, Class II plants, and Class III plants respectively, and the calculation method is as follows.

[0068]

[0069]

[0070]

[0071] in, represents the average annual total oxygen release of a type of plant, The average annual total oxygen release of the second type of plants, Average annual total oxygen release of three types of plants.

[0072] When the oxygen release dynamic parameter is less than the first oxygen release parameter, the grassland is divided into detection areas;

[0073] When the first oxygen release parameter ≤ the oxygen release dynamic parameter < the second oxygen release parameter, the grassland is divided into detection areas;

[0074] When the second oxygen release parameter ≤ the oxygen release dynamic parameter < the third oxygen release parameter, the grassland is divided into detection areas;

[0075] in, is the number of actual detection areas.

[0076] The first oxygen release parameter, the second oxygen release parameter, and the third oxygen release parameter are parameters set based on experience and can be adjusted according to actual conditions.

[0077] Among them, S300 sets a representative area from each detection area to collect plant data, including the following contents:

[0078]

[0079] in, Indicates The area of ​​the detection area, Indicates The area representing the

[0080] product, is the proportionality coefficient. from , , To retrieve the value.

[0081] Among them, S400 obtains the optimization parameters corresponding to each detection area based on the oxygen release dynamic parameters and plant data, including the following:

[0082] Plant data include: species diversity value, vegetation coverage value, plant density value, terrain assignment, soil assignment. The first structural factor is calculated based on the species diversity value, vegetation coverage value, and plant density value, and the second structural factor is calculated based on the terrain assignment and soil assignment. The species diversity value, vegetation coverage value, plant density value, terrain assignment, and soil assignment are artificially assigned according to the time measurement situation and can be adjusted according to the actual situation. Then the optimization parameters corresponding to each detection area are calculated by the following formula:

[0083]

[0084]

[0085]

[0086] in, is the first structure factor, is the second structure factor, represents the grass species diversity value, Indicates the grass species classification structure value, Indicates the grass seed density value, Represents terrain assignment, represents soil value, Indicates The oxygen release optimization parameters for each detection area are represents the oxygen release dynamic parameter, To optimize the correction factor.

[0087] Among them, after applying the optimization parameters to the grassland environmental measurement model in S500, the following formula is obtained:

[0088]

[0089] in, Indicates The oxygen release capacity corresponding to each detection area is Indicates The optimization parameters of the detection area are Represents the optimization correction factor.

[0090] Although the present invention is disclosed as above, the present invention is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the scope defined by the claims.

Claims

1. A method for rapidly detecting grassland oxygen release capacity based on a grassland environmental measurement model, characterized in that: include: S100: Establishing a grassland environmental measurement model based on the dynamic changes of grassland plants and calculating the dynamic parameters of oxygen release; S200: Dividing the grassland into a plurality of detection areas according to the oxygen release dynamic parameter; S300: setting a representative area from each of the detection areas to collect plant data; S400: Obtaining optimization parameters corresponding to each of the detection areas based on the oxygen release dynamic parameters and the plant data; S500: combining the optimization parameters with the grassland environmental monitoring model, and calculating the oxygen release capacity corresponding to each of the detection areas; S600: Summarize the oxygen release capacity of each detection area to obtain the grassland oxygen release capacity.

2. A method for rapidly detecting grassland oxygen release capacity based on a grassland environmental measurement model as claimed in claim 1, characterized in that: In S100, the oxygen release dynamic parameter is calculated by the following method: S111: Obtain the annual oxygen release of all plants in the sample plot, and divide all plants in the sample plot into Class I plants, Class II plants, and Class III plants according to their growth status; The calculation formula for the annual oxygen release of plants is as follows: in, Indicates the total oxygen released by plants this year. Indicates the oxygen content ratio of plants, is the average oxygen release coefficient; S112: Calculate the annual total oxygen release of each type of plant to obtain the annual total oxygen release of the first type of plant, the annual total oxygen release of the second type of plant, and the annual total oxygen release of the third type of plant; the annual total oxygen release of the first type of plant is calculated by adding the annual total oxygen release of all the first type of plants, the annual total oxygen release of the second type of plant is calculated by adding the annual total oxygen release of all the second type of plants, and the annual total oxygen release of the third type of plant is calculated by adding the annual total oxygen release of all the three types of plants; S113: Calculate the variance of the annual total oxygen release of each type of plant respectively, and obtain the oxygen release dynamic parameter according to the variance of the annual total oxygen release of each type of plant.

3. A method for rapidly detecting grassland oxygen release capacity based on a grassland environmental measurement model as claimed in claim 2, characterized in that: In S113, the variance of the annual total oxygen release of each type of plant is calculated by the following method: in, Indicates The variance of the total annual oxygen release of plants, Indicates Plant The total annual oxygen release in Indicates The average annual total oxygen release of plants.

4. A method for rapidly detecting grassland oxygen release capacity based on a grassland environmental measurement model as claimed in claim 3, characterized in that: In S113, the oxygen release dynamic parameter is obtained according to the variance of the annual total oxygen release of each type of plant, and is specifically implemented by the following formula: in, represents the dynamic parameter of oxygen release, is the average oxygen release coefficient; , , They represent the variance of the annual total oxygen release of type one plants, type two plants, and type three plants, respectively.

5. A method for rapidly detecting grassland oxygen release capacity based on a grassland environmental measurement model as claimed in claim 1, characterized in that: The S200 specifically includes the following contents: When the oxygen release dynamic parameter is less than the first oxygen release parameter, the grassland is divided into detection areas; When the first oxygen release parameter ≤ the oxygen release dynamic parameter < the second oxygen release parameter, the grassland is divided into detection areas; When the second oxygen release parameter ≤ the oxygen release dynamic parameter < the third oxygen release parameter, the grassland is divided into detection areas; among which, is the number of actual detection areas.

6. A method for rapidly detecting grassland oxygen release capacity based on a grassland environmental measurement model as claimed in claim 1, characterized in that: The S300 also includes the following contents: in, Indicates The area of ​​the detection area, Indicates represents the area of ​​the region, is the proportionality coefficient.

7. A method for rapidly detecting grassland oxygen release capacity based on a grassland environmental measurement model as claimed in claim 1, characterized in that: The S400 specifically includes the following contents: The plant data includes: species diversity value, vegetation coverage value, plant density value, terrain value, soil value. The first structural factor is calculated based on the species diversity value, vegetation coverage value, and plant density value. The second structural factor is calculated based on the terrain value and soil value. Then, the optimization parameters corresponding to each detection area are calculated by the following formula: in, Indicates The optimization parameters of the detection area are represents the dynamic parameter of oxygen release, is the first structure factor, is the second structure factor.

8. A method for rapidly detecting grassland oxygen release capacity based on a grassland environmental measurement model as claimed in claim 1, characterized in that: In S100, the grassland environment monitoring model is established by the following method: S121: Calculate the average annual total oxygen release of Class I plants, the average annual total oxygen release of Class II plants, and the average annual total oxygen release of Class III plants based on the annual total oxygen release of Class I plants, Class II plants, and Class III plants; S122: Calculate the oxygen release contribution value of the first category of plants, the oxygen release contribution value of the second category of plants, and the oxygen release contribution value of the third category of plants according to the average annual total oxygen release of the first category of plants, the average annual total oxygen release of the second category of plants, and the average annual total oxygen release of the third category of plants; S123: constructing the grassland environmental measurement model through the oxygen release contribution value of the first type of plants, the oxygen release contribution value of the second type of plants, and the oxygen release contribution value of the third type of plants.

9. A method for rapidly detecting grassland oxygen release capacity based on a grassland environmental measurement model as claimed in claim 8, characterized in that: In S123, the grassland environmental monitoring model is constructed by the following formula: in, Indicates the oxygen release of grassland, Indicates the oxygen release of a type of plant. Indicates the oxygen release of the second type of plants, Indicates the oxygen release of three types of plants, They represent the oxygen release contribution values ​​of type one plants, type two plants, and type three plants respectively.

10. A method for rapidly detecting grassland oxygen release capacity based on a grassland environmental measurement model as claimed in claim 9, characterized in that: After combining the optimization parameters with the grassland environment measurement model in S500, the following formula is obtained: in, Indicates The oxygen release capacity corresponding to each detection area is Indicates The optimization parameters of the measurement area are Represents the optimization correction factor.

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