Method for calculating competitive intensity of grassland plants at community level

Abstract

The invention discloses a community level grassland plant competition intensity calculation method, and belongs to the technical field of botany. According to the method, the problem that the existing method is lack of calculating the competitive strength of the plants on the community level is solved, the relative coverage and the relative height of the species in each investigation quadrat are calculated by acquiring the coverage and height data of each plant species in the grassland plant community in the target area, and then the potential growth coverage and the potential growth height are calculated, so that the competitive strength of the plants is calculated. And finally obtaining the plant competitive strength. Therefore, the limitation that a traditional method only pays attention to the competition relation of a single species or a few species is broken through, and the actual influence of competition on species growth can be accurately reflected; by introducing the historical data and the preset threshold value, the community can be more accurately divided into the high-competition area and the low-competition area, and the competition driving factors of different areas are identified, so that a more targeted strategy is provided for grassland management, and the stability and biodiversity of a grassland ecosystem can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of botany, and in particular to a method for calculating the competition intensity of grassland plants at a community level. Background Art

[0002] In grassland ecosystems, competition is an important interspecific relationship among plants. The competitive relationship between plant species has an important impact on the formation and function of community structure. Accurately assessing the competitive intensity of plant communities is of great significance for understanding community dynamics, optimizing grassland management and protecting biodiversity. It is an important aspect of dynamic monitoring of grassland plant communities.

[0003] However, existing technologies can only calculate plant competition intensity between two species, such as between two species or between two functional groups. As a result, there is a lack of methods to calculate plant competition intensity at the community level, making it impossible to dynamically monitor the plant competition intensity of grassland plant communities.

[0004] Therefore, it does not meet the existing needs, so we proposed a method to calculate the competition intensity of grassland plants at the community level. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for calculating grassland plant competition intensity at the community level. By obtaining the cover and height data of each plant species in the grassland plant community in the target area, the relative cover and relative height of the species in each survey sample are calculated, and then the potential growth cover and potential growth height are calculated, and finally the plant competition intensity is obtained; thereby breaking through the limitation of traditional methods that only focus on the competition relationship of a single species or a few species, and being able to accurately reflect the actual impact of competition on species growth; by introducing historical data and preset thresholds, the community can be more accurately divided into high-competition areas and low-competition areas, and the competition driving factors in different areas can be identified, thereby providing a more targeted strategy for grassland management, effectively improving the stability and biodiversity of grassland ecosystems, and solving the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A method for calculating grassland plant competition intensity at the community level, the method being a method for calculating grassland plant community competition intensity based on relative growth states, the method comprising the following steps:

[0008] Conduct field surveys in target areas, using a 1m×1m quadrat survey method to obtain coverage and height data for each species in grassland plant communities;

[0009] Based on the collected cover data and height data, the relative cover and relative height of each species in each quadrat were calculated;

[0010] Based on the relative cover and relative height, calculate the potential growth cover and potential growth height of species i in all occurrence plots;

[0011] Based on the potential growth cover and potential growth height, the actual growth state and potential growth state of each species in the community were calculated;

[0012] The competitive intensity index of each species in the community was calculated based on the actual growth state and potential growth state.

[0013] Furthermore, the relative cover and relative height of each species in each quadrat were calculated using the following formula:

[0014]

[0015] Among them, RC i Expressed as the relative cover of species i in a certain quadrat; C i It is represented by the cover of species i; n is the number of species in the quadrat;

[0016]

[0017] Among them, RH i It is expressed as the relative height of species i in a certain quadrat; H i It is represented by the height of species i; n is represented by the number of species in the sample plot.

[0018] Furthermore, the potential growth cover and potential growth height of species i in all occurrence plots were calculated using the following formula:

[0019]

[0020] in, represents the average relative cover of species i; RC i It is expressed as the relative cover of species i in a certain quadrat; m is expressed as the number of quadrat where species i appears;

[0021]

[0022] in, represents the average relative height of species i; RH i It is represented by the relative height of species i in a certain sample plot; m is represented by the number of samples where species i appears.

[0023] Furthermore, the actual growth state and potential growth state of each species in the community are calculated using the following formula:

[0024] GSR i =RC i ×RHi

[0025] Among them, GSR i Represents the actual growth state of species i; RC i and RH i are respectively expressed as the relative cover and relative height of species i in a certain quadrat;

[0026]

[0027] Among them, GSP i It is represented as the potential growth state of species i; and represent the mean value of relative cover and relative height of species i, respectively.

[0028] Furthermore, the competition intensity index among all species in the community is calculated using the following formula:

[0029]

[0030] Among them, CI represents the competitive intensity index; GSR i Represents the actual growth status of species i; GSR i represents the potential growth state of species i; n represents the number of species in the community.

[0031] Furthermore, the competition intensity index of each species in the community is calculated, including:

[0032] The calculated competition intensity index of each species in the community was analyzed to evaluate the competitive pressure of each species in the community;

[0033] The higher the CI value, the more intense the competition among grassland plants in the community; the lower the CI value, the less competitive pressure among grassland plants in the community;

[0034] According to the competition intensity index CI value, corresponding grassland management suggestions are put forward to optimize the structure and function of grassland ecosystem.

[0035] Furthermore, the competition intensity index of each species in the calculated community was analyzed, specifically:

[0036] Collect the CI values ​​from historical data and preset CI thresholds based on the historical data;

[0037] If the competition intensity index CI value is higher than the CI threshold, it is classified as a high competition area;

[0038] If the competition intensity index CI value is lower than the CI threshold, it is classified as a low competition area;

[0039] Correlation analysis and spatial analysis were performed on the competition intensity index CI values ​​in high-competition areas and low-competition areas, respectively, to identify the driving factors in high-competition areas and low-competition areas.

[0040] Furthermore, according to the CI value, corresponding grassland management suggestions are proposed, specifically:

[0041] Obtain the competition intensity index (CI) values ​​and driving factors in high-competition and low-competition areas;

[0042] developing grazing intensity and revegetation strategies for high-competition areas;

[0043] Develop strategies to optimize resource utilization in low-competition areas;

[0044] Develop strategies to enhance habitat heterogeneity for the entire community.

[0045] Furthermore, a vegetation restoration strategy was developed for high competition areas, specifically:

[0046] Analyze the competitive intensity index (CI) of species in highly competitive areas, select species with less competitive pressure for vegetation restoration, reseed rare or key species with weak competitiveness, and manually remove invasive species;

[0047] Adjust the planting density according to the species' competition intensity index CI value; this includes: reducing the planting density for species with high competitive pressure; and increasing the planting density for species with low competitive pressure.

[0048] Furthermore, the method further comprises:

[0049] Establish a long-term grassland ecosystem monitoring system to regularly collect cover and height data of various species in grassland plant communities within the target area;

[0050] Regularly calculate the competition intensity index to assess changes in community competition intensity;

[0051] Based on the monitoring results, grassland management measures are dynamically adjusted to ensure the health and sustainable development of the grassland ecosystem.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] 1. In the present invention, by obtaining the cover and height data of each plant species in the grassland plant community in the target area, the relative cover and relative height of the species in each survey sample are calculated, and then the potential growth cover and potential growth height are calculated, and finally the plant competition intensity is obtained; thereby breaking through the limitation of traditional methods that only focus on the competition relationship of a single species or a few species, it can accurately reflect the actual impact of competition on species growth, provide a more comprehensive perspective for understanding community dynamics, and thus help provide a scientific basis for grassland management, so as to optimize the structure and function of grassland ecosystems.

[0054] 2. In this invention, by introducing historical data and preset thresholds, it is possible to more accurately divide communities into high-competition areas and low-competition areas, and thereby identify the competition drivers in different areas, thereby providing more targeted strategies for grassland management and effectively improving the stability and biodiversity of grassland ecosystems.

[0055] 3. In the present invention, by establishing a long-term monitoring system, it is possible to dynamically track changes in community competition intensity, adjust management measures in a timely manner, ensure the health and sustainable development of grassland ecosystems, improve the scientificity and effectiveness of grassland management, and provide strong technical support for the protection and sustainable utilization of grassland ecosystems. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 Schematic diagram for calculating the competitive intensity of species i in the community of the present invention;

[0057] Figure 2 The figure is an overall flow chart of the present invention for calculating the competition intensity of plant communities. DETAILED DESCRIPTION

[0058] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0059] To address the technical problem that existing technologies can only calculate plant competition intensity between two species, such as between two species or between two functional groups, and lack methods to calculate plant competition intensity at the community level, resulting in the inability to dynamically monitor plant competition intensity in grassland plant communities, please refer to Figure 1-Figure 2 , this embodiment provides the following technical solutions:

[0060] A method for calculating grassland plant competition intensity at the community level, the method is a method for calculating grassland plant community competition intensity based on relative growth status, and the method comprises the following steps:

[0061] Field surveys were conducted in the target area using a 1m×1m quadrat survey method to obtain coverage data (denoted as C) and height data (denoted as H) of each species in the grassland plant community. Specifically, this method is based on common field survey data, data acquisition is relatively easy, the calculation process is clear and straightforward, and it is easy to promote and apply in different types of grassland ecosystems. It has high practicality and operability, ensuring that the implementation of this method will help provide a scientific basis for grassland management.

[0062] Based on the collected cover data and height data, the relative cover (RC) and relative height (RH) of each species in each quadrat were calculated using the following formula:

[0063]

[0064] Among them, RC i Expressed as the relative cover of species i in a certain quadrat; C i It is represented by the cover of species i; n is the number of species in the quadrat;

[0065]

[0066] Among them, RH i It is expressed as the relative height of species i in a certain quadrat; H i It is represented by the height of species i; n is represented by the number of species in the sample plot.

[0067] According to the relative cover and relative height, the potential growth cover of species i in all occurrence plots (denoted as ) and potential growth height (denoted as ), the calculation formula is as follows:

[0068]

[0069] in, represents the average relative cover of species i; RC i It is expressed as the relative cover of species i in a certain quadrat; m is expressed as the number of quadrat where species i appears;

[0070]

[0071] in, represents the average relative height of species i; RH i It is represented by the relative height of species i in a certain sample plot; m is represented by the number of samples where species i appears.

[0072] Based on the potential growth cover and potential growth height, the true growth state (denoted as GSR) of each species in the community was calculated. i ) and potential growth state (denoted as GSP i ), the calculation formula is as follows:

[0073] GSR i =RC i ×RH i

[0074] Among them, GSR i Represents the actual growth state of species i; RC i and RH i are respectively expressed as the relative cover and relative height of species i in a certain quadrat;

[0075]

[0076] Among them, GSP i It is represented as the potential growth state of species i; and represent the mean value of relative cover and relative height of species i, respectively.

[0077] Based on the actual growth state and potential growth state, the competitive intensity index (CI) of each species in the community was calculated using the following formula:

[0078]

[0079] Among them, CI represents the competitive intensity index; GSR i Represents the actual growth state of species I; GSP i represents the potential growth state of species i; n represents the number of species in the community.

[0080] Suppose a field survey is conducted in a grassland area. A total of 3 sample plots are surveyed, and each sample plot contains 2 species, as shown in the following table:

[0081] quadrat Species 1 (C, H) Species 2 (C, H) 1 (0.4,0.6) (0.6,0.4) 2 (0.3,0.5) (0.7,0.3) 3 (0.5,0.7) (0.5,0.3)

[0082] Table 1. Field survey sample table

[0083] Step 1: Calculate the relative cover and relative height of each species in each quadrat:

[0084] Based on quadrat 1:

[0085] Relative cover of species 1:

[0086] Relative height of species 1:

[0087] Relative cover of species 2:

[0088] Relative height of species 2:

[0089] Based on quadrat 2:

[0090] Relative cover of species 1:

[0091] Relative height of species 1:

[0092] Relative cover of species 2:

[0093] Relative height of species 2:

[0094] Based on quadrat 3:

[0095] Relative cover of species 1:

[0096] Relative height of species 1:

[0097] Relative cover of species 2:

[0098] Relative height of species 2:

[0099] Step 2: Calculate the potential growth cover and potential growth height of the species in all occurrence plots:

[0100] Based on species 1:

[0101] Potential growth cover:

[0102] Potential growth height:

[0103] Based on species 2:

[0104] Potential growth cover:

[0105] Potential growth height:

[0106] Step 3: Calculate the actual growth state and potential growth state of each species in the community:

[0107] For species 1 in quadrat 1:

[0108] Real growth status: GSR 11 =0.4×0.6=0.24

[0109] Potential Growth State: GSP 11 =0.4×0.595=0.238

[0110] For species 1 in quadrat 2:

[0111] Real growth status: GSR 21 =0.3×0.625=0.1875

[0112] Potential Growth State: GSR 21 =0.4×0.595=0.238

[0113] For species 1 in quadrat 3:

[0114] Real growth status: GSR 31 =0.5×0.583=0.2915

[0115] Potential Growth State: GSR 31 =0.4×0.595=0.238

[0116] For species 2 in quadrat 1:

[0117] Real growth status: GSR 12 =0.6×0.4=0.24

[0118] Potential Growth State: GSR 12 =0.6×0.4=0.24

[0119] For species 2 in quadrat 2:

[0120] Real growth status: GSR 22 =0.7×0.375=0.2625

[0121] Potential Growth State: GSP 22 =0.6×0.4=0.24

[0122] For species 2 in quadrat 3:

[0123] Real growth status: GSR 32 =0.5×0.417=0.2085

[0124] Potential Growth State: GSR 32 =0.6×0.4=0.24

[0125] Step 4: Calculate the plant competition intensity index at the community level:

[0126] For species 1, the competitive intensity index is:

[0127] CI=(0.25-0.238)+(0.1875-0.238)+(0.2915-0.238)=0.005

[0128] For species 2, the competitive intensity index is:

[0129] CI=(0.24-0.24)+(0.2625-0.4)+(0.2085-0.24)=-0.009

[0130] The results show that the competition intensity index of species 1 is 0.005, and the competition intensity index of species 2 is -0.009.

[0131] By adding the differences in the survival status of species 1 and species 2, the plant competition intensity index at the community level was obtained as: -0.004.

[0132] Among them, a positive value indicates that the actual growth state of the species is slightly higher than the potential growth state, and a negative value indicates that the actual growth state is slightly lower than the potential growth state.

[0133] The beneficial effects achieved by the above content are: by obtaining the cover and height data of each plant species in the grassland plant community in the target area, the relative cover and relative height of the species in each survey sample are calculated, and then the potential growth cover and potential growth height are calculated, and finally the plant competition intensity index is obtained; thus breaking through the limitation of traditional methods that only focus on the competitive relationship of a single species or a few species, it can accurately reflect the actual impact of competition on species growth, provide a more comprehensive perspective for understanding community dynamics, and thus help provide a scientific basis for grassland management in order to optimize grassland ecosystem structure and function.

[0134] The calculated competition intensity index of each species in the community was analyzed to evaluate the competitive pressure of each species in the community, specifically:

[0135] Collect the CI values ​​from historical data and preset CI thresholds based on the historical data;

[0136] If the competition intensity index CI value is higher than the CI threshold, it is classified as a high competition area;

[0137] If the competition intensity index CI value is lower than the CI threshold, it is classified as a low competition area;

[0138] Correlation analysis and spatial analysis were performed on the CI values ​​in high-competition areas and low-competition areas, respectively, to identify the driving factors in high-competition areas and low-competition areas.

[0139] The higher the CI value, the more intense the competition among plants in the community; the lower the CI value, the less competitive pressure among plants in the community;

[0140] Based on the CI value, corresponding grassland management recommendations are put forward, such as adjusting grazing intensity and optimizing vegetation restoration measures, to optimize the structure and function of grassland ecosystems. Specifically:

[0141] Obtain the competition intensity index (CI) values ​​and driving factors in high-competition and low-competition areas;

[0142] Develop grazing intensity and vegetation restoration strategies for high competition areas, specifically:

[0143] Analyze the competitive intensity index (CI) of species in highly competitive areas, select species with less competitive pressure for restoration, and replant rare or keystone species with weak competitiveness, such as nitrogen-fixing legumes. Also, manually remove invasive species, such as those with high CI values, to improve restoration effectiveness.

[0144] Adjust the planting density according to the species' competition intensity index CI value; this includes: for species with high competitive pressure, reduce the planting density to reduce intraspecific competition; for species with low competitive pressure, increase the planting density to improve community stability; for example, adjusting grazing intensity includes: rotational grazing, that is, dividing high / low grazing areas, resting or light grazing in high-competition areas, such as reducing the number of livestock by 50%; seasonal grazing, that is, prohibiting grazing during the vegetation growing season, such as the rainy season, and moderate grazing in the dry season.

[0145] Develop strategies to optimize resource use in low-competition areas; for example, direct grazing to low-competition areas to avoid wasted resources such as underutilized grasslands, and monitor potential invasion risks in niche vacancies in low-competition areas;

[0146] Develop strategies to enhance habitat heterogeneity for the entire community; for example, construct microtopography to increase niche diversity, such as ridges and ditches, and retain litter layers to regulate the soil microenvironment.

[0147] The beneficial effects achieved by the above content are: by introducing historical data and preset thresholds, communities can be more accurately divided into high-competition areas and low-competition areas, and the competition drivers in different areas can be identified, thereby providing more targeted strategies for grassland management and effectively improving the stability and biodiversity of grassland ecosystems.

[0148] Establish a long-term grassland ecosystem monitoring system, regularly collect coverage and height data of various species in grassland plant communities in the target area; regularly calculate the competition intensity index to evaluate changes in community competition intensity; dynamically adjust grassland management measures based on monitoring results to ensure the health and sustainable development of grassland ecosystems.

[0149] The beneficial effects achieved by the above contents are: by establishing a long-term monitoring system, it is possible to dynamically track changes in community competition intensity, adjust management measures in a timely manner, ensure the health and sustainable development of grassland ecosystems, improve the scientific nature and effectiveness of grassland management, and provide strong technical support for the protection and sustainable utilization of grassland ecosystems.

[0150] Working Principle: Through field surveys, the cover and height data of each species in the grassland plant community are obtained, and then the relative cover and relative height of each species in the sample plot are calculated, and the potential growth cover and height of the species are further derived, so as to evaluate the difference between the actual growth state and the potential growth state of the species, and finally quantify the competitive pressure between species through the competition intensity index; by analyzing the competition intensity index and setting the competition intensity index threshold based on historical data, the community is divided into high-competition areas and low-competition areas, and the respective driving factors are identified. Based on the analysis results, targeted grassland management recommendations are put forward to achieve optimized management and sustainable development of grassland ecosystems.

[0151] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "including," "having," or any other variations thereof are intended to cover non-exclusive possessors, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or includes elements that are inherent to such process, method, article, or apparatus.

[0152] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions, and alterations may be made to the embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A method for calculating grassland plant competition intensity at the community level, characterized in that: The method is a method for calculating the competition intensity of grassland plant communities based on relative growth states, and the method comprises the following steps: Conduct field surveys in target areas, using a 1m×1m quadrat survey method to obtain coverage and height data for each species in grassland plant communities; Based on the collected cover data and height data, the relative cover and relative height of each species in each quadrat were calculated; Based on the relative cover and relative height, calculate the potential growth cover and potential growth height of species i in all occurrence plots; Based on the potential growth cover and potential growth height, the actual growth state and potential growth state of each species in the community were calculated; The competitive intensity index of each species in the community was calculated based on the actual growth state and potential growth state.

2. The method for calculating grassland plant competition intensity at the community level according to claim 1, characterized in that: Calculate the relative cover and relative height of each species in each quadrat using the following formula: Among them, RC i Expressed as the relative cover of species i in a certain quadrat; C i It is represented by the cover of species i; n is the number of species in the quadrat; Among them, RH i It is expressed as the relative height of species i in a certain quadrat; H i It is represented by the height of species i; n is represented by the number of species in the sample plot.

3. The method for calculating grassland plant competition intensity at the community level according to claim 2, characterized in that: Calculate the potential growth cover and potential growth height of species i in all occurrence plots. The calculation formula is as follows: in, represents the average relative cover of species i; RC i It is expressed as the relative cover of species i in a certain quadrat; m is expressed as the number of quadrat where species i appears; in, represents the average relative height of species i; RH i It is represented by the relative height of species i in a certain sample plot; m is represented by the number of samples where species i appears.

4. The method for calculating grassland plant competition intensity at the community level according to claim 3, characterized in that: Calculate the actual growth state and potential growth state of each species in the community using the following formula: GSR i =RC i ×RH i Among them, GSR i Represents the actual growth state of species i; RC i and RH i are respectively expressed as the relative cover and relative height of species i in a certain quadrat; Among them, GSP i It is represented as the potential growth state of species i; and represent the mean value of relative cover and relative height of species i, respectively.

5. The method for calculating grassland plant competition intensity at the community level according to claim 4, characterized in that: Calculate the competition intensity index among all species in the community using the following formula: Among them, CI represents the competitive intensity index; GSR i Represents the actual growth state of species i; GSP i represents the potential growth state of species i; n represents the number of species in the community.

6. The method for calculating grassland plant competition intensity at the community level according to claim 5, characterized in that: After calculating the competitive intensity index of each species in the community, including: The calculated plant competition intensity index of the community was analyzed to evaluate the competitive pressure of each species in the community; The higher the CI value, the more intense the competition among plants in the community; the lower the CI value, the less competitive pressure among plants in the community; According to the competition intensity index CI value, corresponding grassland management suggestions are put forward to optimize the structure and function of grassland ecosystem.

7. The method for calculating grassland plant competition intensity at the community level according to claim 6, characterized in that: The competition intensity index of each species in the calculated community is analyzed as follows: Collect the CI values ​​from historical data and preset CI thresholds based on the historical data; If the competition intensity index CI value is higher than the CI threshold, it is classified as a high competition area; If the competition intensity index CI value is lower than the CI threshold, it is classified as a low competition area; Correlation analysis and spatial analysis were performed on the competition intensity index CI values ​​in high-competition areas and low-competition areas, respectively, to identify the driving factors in high-competition areas and low-competition areas.

8. The method for calculating grassland plant competition intensity at the community level according to claim 7, characterized in that: According to the CI value, corresponding grassland management suggestions are put forward, specifically: Obtain the competition intensity index (CI) values ​​and driving factors in high-competition and low-competition areas; developing grazing intensity and revegetation strategies for high-competition areas; Develop strategies to optimize resource utilization in low-competition areas; Develop strategies to enhance habitat heterogeneity for the entire community.

9. The method for calculating grassland plant competition intensity at the community level according to claim 8, characterized in that: Develop a vegetation restoration strategy for high competition areas, specifically: Analyze the competitive intensity index (CI) of species in highly competitive areas, select species with less competitive pressure for vegetation restoration, reseed rare or key species with weak competitiveness, and manually remove invasive species; Adjust the planting density according to the species' competition intensity index CI value; this includes: reducing the planting density for species with high competitive pressure; and increasing the planting density for species with low competitive pressure.

10. The method for calculating grassland plant competition intensity at the community level according to claim 1, characterized in that: The method further comprises: Establish a long-term grassland ecosystem monitoring system to regularly collect cover and height data of various species in grassland plant communities within the target area; Regularly calculate the competition intensity index to assess changes in community competition intensity; Based on the monitoring results, grassland management measures are dynamically adjusted to ensure the health and sustainable development of the grassland ecosystem.

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