CN114532159A - Method for configuring grass planting bags under condition of near-natural recovery in northern sandy area - Google Patents

Method for configuring grass planting bags under condition of near-natural recovery in northern sandy area Download PDF

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CN114532159A
CN114532159A CN202111581192.6A CN202111581192A CN114532159A CN 114532159 A CN114532159 A CN 114532159A CN 202111581192 A CN202111581192 A CN 202111581192A CN 114532159 A CN114532159 A CN 114532159A
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张健
王召明
邢旗
张文军
陈翔
杨跃文
包海龙
张晓严
宋晓辉
胡努斯图
杨红艳
金净
丁奋谦
王雅茹
王泽�
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INNER MONGOLIA AUTONOMOUS REGION ACADEMY OF FORESTRY SCIENCES
Inner Mongolia M Grass Ecological Environment Group Co Ltd
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Abstract

The invention belongs to the technical field of plant planting, and relates to a method for configuring grass planting bags under the condition of near-natural recovery in northern sandy areas, which comprises the following specific steps: s1, collecting survey data; s2, determining the species composition of the 'shrub and grass planting bag'; s3, planting test and effect evaluation, comparing the vegetation type composition and community structure index recovered by the shrub and grass planting bag with natural vegetation indexes, performing similarity analysis and plant type composition and dominant species analysis, and S4, optimizing and shaping the product; through a more scientific method for configuring the shrub and grass planting bag, the recovered vegetation is more similar to natural vegetation in the aspects of species composition, community structure and the like, and is more perfect in the aspect of stability of an ecological system; the method provided by the invention scientifically matches the main dominant species and the associated species in the natural vegetation, and configures the proportion of different plant species in the shrub and grass planting bag, thereby laying a foundation for gradually changing the recovery vegetation to the positive direction of the natural vegetation.

Description

Method for configuring grass planting bags under condition of near-natural recovery in northern sandy area
The technical field is as follows:
the invention belongs to the technical field of plant planting, and relates to a method for configuring grass planting bags for near-natural recovery in northern sandy areas.
Background art:
the grassland area in the north of China is about 160 ten thousand square kilometers, and the grass husbandry production is the most main grassland utilization mode in the north. The high intensity of utilization leads to the degradation of plant communities, the expansion of desertification and even the loss of certain ecosystem service functions. Although, the ecological environment of the region is obviously improved under the support of a series of ecological conservation projects in China. However, this area is still under severe environmental stress due to the influence of human activities and global climate changes.
As one of the most vulnerable areas of the ecological environment in China, the ecological safety barrier has a very important strategic position in the construction of the ecological safety barrier and the economic zone in the north. In the prior art, in the treatment process of the northern sandy area, when the plants are replanted on the degraded desertification grassland to recover the grassland vegetation, although different plant species combination modes are used, the prior plant establishment and the ecological benefit establishment of the plant species in the recovery process are more considered, and the similar relation with the natural vegetation in the plant species configuration process and the similar degree after vegetation recovery are not fully considered.
The invention content is as follows:
the invention aims to overcome the defects in the prior art, provides a method for configuring grass planting bags under the condition of near natural recovery of a northern sandy area, and solves the problem that how to enable the configured plant species composition and community structure to be similar to natural vegetation and gradually achieve the effect of near natural recovery along with vegetation succession in the existing repair process of the northern sandy area.
In order to achieve the purpose, the invention provides a method for configuring grass planting bags under the condition of near-nature recovery of northern sandy areas, which comprises the following specific steps:
s1, collecting survey data, analyzing the standing conditions of local sandy land and sandy grassland and the ecological characteristics of main natural vegetation types by combining sample plot and sample survey, and providing basis for determining the composition of the shrub and grass planting bag species;
s2, determining the type of the natural vegetation through analysis of opposite terrain conditions and survey data of the type of the natural vegetation, determining the species composition of the shrub and grass planting bag according to the community characteristics and the main plant species composition structure of the natural vegetation, and preferentially adopting the wild species in the natural vegetation for configuration; the species allocation needs to fully consider the mixing of gramineae and leguminous plants, the mixing of perennial plants and annual plants, and the mixing of shrub plants and herbaceous plants, so as to ensure the organic combination of the adaptability, the stability and the long-term and short-term benefits of the allocated 'shrub and grass planting bag';
s3 planting test and effect evaluation
Performing on-site seeding test on the proportioned shrub and grass planting bags, investigating vegetation recovery effect 2-3 years later, comparing vegetation type composition and community structure index recovered by the shrub and grass planting bags for investigation with natural vegetation indexes, performing similarity analysis and plant type composition and dominant species analysis, determining dominant species by calculating important values, wherein the similarity analysis is used for judging the similarity of the shrub and grass planting bags for recovering vegetation, and the important value analysis is used for judging whether the dominant species of the planting bags are the same as the dominant species of the natural vegetation;
s4, optimizing and shaping product
Through the analysis of the similarity and the plant species composition with the natural vegetation, if the similarity between the planting bag and the natural vegetation is more than or equal to 0.5 and the dominant species of the planting bag is the same as the dominant species of the natural vegetation (or the plant species of the planting bag replacing the natural vegetation is the same as the natural vegetation), the species composition and the mixture ratio of the planting bag are used as the species composition and the mixture ratio for shaping the final product; if the similarity is less than 0.5 and the dominant species of the planting bag is different from the dominant species of the natural vegetation, the species and the proportion of the shrub and grass planting bag need to be optimized according to the similarity analysis process, the optimal shrub and grass planting bag combination is selected by adjusting the plant species and the configuration proportion of the planting bag, carrying out planting test, monitoring and screening of recovery effect until the similarity is more than or equal to 0.5 and the dominant species are the same, and finally determined species composition and proportion are used as the species composition and proportion for final product shaping.
Further, the main survey contents of step S1 include:
(1) regional climate characteristics: precipitation, frost period and accumulated temperature;
(2) the characteristic parameters of the location: topography, soil type and physicochemical properties.
(3) Community phytology characteristic parameters: species composition, community structure, and height, coverage, density of different plants;
further, the sample area survey of step S1 is conducted by setting a sample area, and specifically includes:
setting a sample in the sample plot according to the representative and uniformity principles, wherein the selection of the sample can reflect the vegetation coverage and the average level of biomass in the whole class, and the vegetation of the sample has typicality in the class; in a sample plot with shrubs, 1 shrub and tall herb sample is arranged, and 3 seed-dividing samples are arranged on the herb sample; in the herbaceous and undershrub sample plot, when the sample is set up, according to typical principle, choose the district that can represent whole sample plot grassland vegetation, topography and soil characteristic to go on, specifically: according to the vegetation condition, dividing the vegetation into herbaceous and small shrub samples and shrub and high herbaceous samples, wherein the size of the herbaceous and small shrub samples is 1m multiplied by 1 m; the sizes of shrubs and high herbaceous plants are divided into two cases, the first case is a sample plot with sparsely distributed shrubs and high herbaceous plants and the size of the sample plot is 10m multiplied by 10m, the second case is that the shrubs and the high herbaceous plants are densely and uniformly distributed or the plants are relatively small, and the size of the sample plot is 5m multiplied by 5 m; determining the community height and coverage, the height, coverage, density and biomass of each plant species by a species classification sample; the name-recording sample prescription measures the frequency of plant species.
Further, the specific steps of step S2 are as follows:
(1) investigating natural vegetation;
(2) determining the seed composition of the shrub and grass planting bag plant: by analyzing the survey results of the natural vegetation, determining dominant species, subalpine species and companion species of the natural vegetation, and taking the dominant species, the subalpine species and the companion species as basic compositions of the species of the shrub and grass planting bags, wherein the mutual proportion of the species in the natural vegetation is used as an important reference basis for the plant species proportion of the shrub and grass planting bags;
the dominant species are determined by the important values of various plants in the technical community, and the calculation formula of the important values is as follows:
importance value ═ relative density + relative height + relative coverage)/3
Relative coverage ═ 100% (coverage of the species/total coverage of all species) ×
Relative density (density of the species/sum of densities of all species) × 100%
Relative height ═ (height of the species/sum of heights of all species) × 100%;
(3) seed collection
According to the determined species composition, the seed maturing condition of the plant seeds of the shrub and grass planting bag to be configured is investigated in the natural vegetation community, an acquisition plan is drawn, all the plant seeds which can be acquired are acquired as far as possible, wild seeds are acquired, and the wild seeds are processed according to the relative standard requirements of seed purity, germination percentage and moisture and then are used;
(4) seed matching
Selecting seeds which are difficult to collect or have insufficient seed collection quantity for replacing similar varieties or seeds sold in the market and having the same ecological adaptability;
(5) species ratio
The allocation proportion of the seeds of each species is determined according to the composition proportion of the natural vegetation species, the local site condition, the germination and growth condition of the seeds and the sowing mode.
Further, in the step S3, the vegetation composition and community structure are investigated by adopting a conventional ecological field investigation method, wherein the investigation sample is 1m multiplied by 1m of herbaceous sample, and the shrub sample is 10m multiplied by 10 m; measuring the vegetation coverage by adopting a network cable method; the density is measured by a counting method; measuring the biomass on the ground, namely, uniformly separating seeds and cutting stems and leaves on the ground, weighing fresh weight, bagging, taking back to a laboratory, drying at 65 ℃ and measuring dry weight.
Further, the similarity analysis formula in step S3 is as follows
Figure BDA0003426096500000031
Wherein S is a similarity coefficient; a is the number of the samples or colonies a; b is the number of the samples or colonies b; c is the number of seeds common to both samples.
Compared with the prior art, the method ensures that the recovered vegetation is more similar to natural vegetation in the aspects of species composition, community structure and the like and is more perfect in the stability of an ecological system through a more scientific method for configuring the shrub and grass planting bags; the method provided by the invention scientifically matches the main dominant species and the associated species in the natural vegetation, and configures the proportion of different plant species in the shrub and grass planting bag, thereby laying a foundation for gradually changing the recovery vegetation to the positive direction of the natural vegetation.
The specific implementation mode is as follows:
the invention is further illustrated by the following specific examples in combination with the accompanying drawings.
Example 1:
the embodiment relates to a method for configuring grass planting bags under the condition of near-nature recovery of northern sandy areas, which comprises the following specific steps:
s1, collecting survey data, analyzing the standing conditions of local sandy land (desert) and sandy grassland and the ecological characteristics of main natural vegetation types by combining sample plot and sample survey, and providing basis for determining the composition of the shrub and grass planting bag species; the main survey contents include:
regional climate characteristics: precipitation, frost-free period, accumulated temperature and the like;
secondly, the characteristic parameters of the land: topography, soil type and physicochemical properties, etc.;
③ community botany characteristic parameters: species composition, community structure, height, coverage, density, etc. of different plants;
sample area survey is carried out by setting sample parties, and the method specifically comprises the following steps:
setting a sample in the sample plot according to the representative and uniformity principles, wherein the selection of the sample can reflect the vegetation coverage and the average level of biomass in the whole class, and the vegetation of the sample has typicality in the class; in a sample plot with shrubs, 1 shrub and tall herb sample is arranged, and 3 seed-dividing samples are arranged on the herb sample; when the sample is arranged in the herbaceous and small shrub sample plot, according to the typical principle, selecting the sections which can represent the characteristics of grassland vegetation, terrain, soil and the like of the whole sample plot, specifically: according to the vegetation condition, dividing into herbaceous and small (half) shrub samples and shrub and high herbaceous samples, wherein the size of the herbaceous and small half shrub samples is 1m multiplied by 1 m; the sizes of shrubs and high herbaceous plants are divided into two cases, the first case is a sample plot with sparsely distributed shrubs and high herbaceous plants and the size of the sample plot is 10m multiplied by 10m, the second case is that the shrubs and the high herbaceous plants are densely and uniformly distributed or the plants are relatively small, and the size of the sample plot is 5m multiplied by 5 m; determining the community height and coverage, the height, coverage, density and biomass of each plant species by a species classification sample; the name-recording sample prescription measures the frequency of plant species;
s2, determining the type of the natural vegetation through analysis of the adversity conditions and the survey data of the type of the natural vegetation, determining the species composition of the shrub and grass planting bag according to the community characteristics and the main plant species composition structure of the natural vegetation, and preferentially adopting the wild species in the natural vegetation for configuration. The species allocation needs to fully consider the mixing of gramineae and leguminous plants, the mixing of perennial plants and annual plants, the mixing of shrub plants and herbaceous plants and the like, and ensure the adaptability, stability and organic combination of long-term and short-term benefits of the allocated 'grass-irrigating planting bag'; the method comprises the following specific steps:
investigation of natural vegetation
Determining the seed composition of the shrub and grass planting bag plant: through the analysis of the survey results of the natural vegetation, dominant species, suboptimal species and companion species of the natural vegetation are determined and are used as basic compositions of the shrub and grass planting bag species, and the mutual proportion of the species in the natural vegetation can be used as an important reference basis for the plant species proportion of the shrub and grass planting bag.
The dominant species are determined by the important values of various plants in the technical community, the dominant species with the largest important value is the dominant species, and the calculation formula of the important values is as follows:
the importance value is (relative density + relative height + relative coverage)/3 or the importance value is (relative density + relative biomass + relative coverage)/3 or calculated by using any three of four indexes of relative density, relative height, relative coverage and relative biomass (dry weight).
Relative coverage ═ 100% (coverage of the species/total coverage of all species) ×
Relative density (density of the species/sum of densities of all species) × 100%
Relative height ═ (height of species/sum of heights of all species) × 100%
Relative biomass ═ (biomass of the species/total biomass of the sample) × 100%
③ seed Collection
According to the determined species composition, the seed maturing condition of the plant seeds of the shrub and grass planting bag to be configured is investigated in the natural vegetation community, a collection plan is drawn, all the plant seeds which can be collected are collected as far as possible, wild seeds are collected, and the wild seeds are processed according to the requirements of relevant standards such as seed purity, germination rate and moisture and then used. Purity: the authenticity and variety purity identification of the crop seed inspection protocol is carried out with reference to GB/T3543.5-1995. Cleanliness: according to the GB _ T2930.2-2017 grass seed inspection specification, impurities such as blighted seeds, seed shells, branches and leaves and the like are removed by adopting an air separation method and a specific gravity method, and the purity reaches more than 95 percent. Moisture content: and performing moisture determination according to the GB _ T2930.8-2017 grass seed test protocol. Germination rate: germination tests were performed according to the test protocol for grass seeds of GB _ T2930.4-2017.
And fourthly, selecting and matching seeds.
The plant seeds which are difficult to collect or the plant seeds with insufficient seed collecting quantity can be replaced by the plant seeds with similar ecological habits or the seeds which are sold in the market and have the same ecological adaptability.
Species ratio
The allocation proportion of the seeds of each species is determined according to the composition proportion of the natural vegetation species, the local site condition, the germination and growth condition of the seeds, the sowing mode and the like.
S3 planting test and effect evaluation
The matched shrub and grass planting bag is subjected to field sowing and planting tests, the vegetation recovery effect is investigated after 2-3 years, indexes such as vegetation type composition and community structure recovered by the shrub and grass planting bag for investigation are compared with natural vegetation indexes, similarity analysis and plant type composition and dominant species analysis are carried out, the dominant species are determined by calculating important values, the similarity analysis is used for judging the similarity of the shrub and grass planting bag for recovering the vegetation, and the important value analysis is used for judging whether the dominant species of the planting bag are the same as the dominant species of the natural vegetation. The vegetation composition and community structure are investigated by adopting a conventional ecological field investigation method, wherein a herbaceous sample is 1m multiplied by 1m for an investigation sample, and a shrub sample is 10m multiplied by 10m for the investigation sample; measuring the vegetation coverage by adopting a network cable method; the density (number of plants) is measured by a counting method; measuring the biomass on the ground, namely, uniformly separating seeds and cutting stems and leaves on the ground, weighing fresh weight, bagging, taking back to a laboratory, drying at 65 ℃ and measuring dry weight.
The similarity analysis comparison formula is
Figure BDA0003426096500000051
(S-similarity coefficient; a-number of samples (or clusters) a; b-number of samples (or clusters) b; c-number of common numbers in both samples).
S4, optimizing and shaping product
Through the analysis of the similarity and the plant species composition with the natural vegetation, if the similarity between the planting bag and the natural vegetation is more than or equal to 0.5 and the dominant species of the planting bag is the same as the dominant species of the natural vegetation (or the plant species of the planting bag replacing the natural vegetation is the same as the natural vegetation), the species composition and the mixture ratio of the planting bag are used as the species composition and the mixture ratio for shaping the final product; if the similarity is less than 0.5 and the dominant species of the planting bag is different from the dominant species of the natural vegetation, the species and the proportion of the shrub and grass planting bag need to be optimized according to the similarity analysis process, the optimal shrub and grass planting bag combination is selected by adjusting the plant species and the configuration proportion of the planting bag, carrying out planting test, monitoring and screening of recovery effect until the similarity requirement (more than or equal to 0.5) and the dominant species are the same, and finally determined species composition and proportion are used as the species composition and proportion for final product shaping. The plant bag screening process is shown in figure 1.
Example 2:
this example is an application test of the configuration method for shrub planting bags for near-nature restoration in northern sandy areas described in example 1, and the test is mainly performed in the scheimpflug and queensland union management areas of the scheimpflug.
1. Optimum selection of shrub and grass planting bag in Wula cover test area
1.1 design of the experiment
After natural vegetation survey and analysis are performed on the wula cap cell by the method of example 1, 4 shrub and grass planting bag combinations (as shown in table 1) are set in the wula cap cell for 4 natural grassland vegetation compositions, each combination is 3 in number, and the cell size is 5 x 5m2And the seeding is finished in 7 months and 5 days in 2019 in the cell, and the seeding amount is 3.0 kg/mu. In 2019, 8 months, preliminary investigation and statistics on cells have been carried out. And (4) vegetation investigation (monthly field investigation of variety, abundance, coverage and height of vegetation in a sample prescription, measurement of aboveground biomass at the end of the growing season, namely late 8 months per year by adopting a sample method and a harvesting method and a drying and weighing method, and investigation of individual plant properties including the number of plants, the height of plants and the coverage by adopting visual inspection, folding ruler and the like.
Table 1 wula cap management district experimental design
Figure BDA0003426096500000061
1.2 evaluation of the recovery Effect of the Ura-lid planting bag
The vegetation survey was conducted on the wula shrub planting package in 8 months at 2021, and the data results are shown in tables 2 and 3.
Table 22021 years old wula cap shrub and grass planting bag recovery effect table
Figure BDA0003426096500000062
Figure BDA0003426096500000071
TABLE 3 mule comparison of Wula cap shrubs and herbs planting bags
Figure BDA0003426096500000072
Figure BDA0003426096500000081
*. the significance level of the mean difference was 0.05.
The evaluation of the Wula cap shrub grass planting bag is analyzed by adopting the data of 8 months in 2021, and as can be seen from the table 2, the shrub grass planting bag with the Wula cap proportion has good recovery effect, the average height of the plot of the planting bag is 11.22, the average coverage is 24.25 percent, and the average density is 54.6 plants/m2. The highest height is the planting bag 3, the largest coverage is the planting bag 2, and the largest density is the planting bag 2. As can be seen from Table 3, the four planting bags have no significant difference in height, density and coverage (P > 0.05), and the effect of the planting bags is the same.
1.3 similarity comparison of restored Ura-lid shrub grass planting bag with natural grassland
The results of comparing 4 grass planting packages in the Wula capping community with the natural grassland are shown in tables 4-7.
Similarity comparison
Similarity coefficient:
Figure BDA0003426096500000082
s-similarity coefficient
a is the number of species in a sample (or population) a
b is the number of species in the sample (or population) b
c is the number of seeds common to both samples
The total number of the species in the planting bag 1 is 6, 11 species exist in the community a (natural grassland), 9 species exist in the community b (referring to the planting bag 1), and the similarity coefficient S is as follows: s2 × 6/(11+9) ═ 0.6 > 0.5, indicating that the planting bag 1 is more similar to natural vegetation.
The similarity coefficient S of the planting bag 2 is 2 x 3/20 is 0.3 < 0.5, which indicates that the planting bag 2 has lower similarity with natural vegetation.
The similarity coefficient S of the planting bag 3 is 2 × 2/20 is 0.2 < 0.5, which indicates that the planting bag 3 has low similarity with natural vegetation.
The similarity coefficient S2 6/20 0.6 > 0.5 of the planting bag 4 indicates that the planting bag 4 is similar to natural vegetation.
TABLE 4 comparison of Umbelliferae shrubbery planting bag 1 with natural grassland
Figure BDA0003426096500000083
Figure BDA0003426096500000091
TABLE 5 comparison of Ura-lid shrub planting bag 2 with natural grassland
Figure BDA0003426096500000092
TABLE 6 comparison of Umbelliferae shrubbery planting bag 3 with natural grassland
Figure BDA0003426096500000093
Figure BDA0003426096500000101
TABLE 7 comparison of Umbelliferae shrubbery planting bag 4 with natural grassland
Figure BDA0003426096500000102
The method is characterized in that a long-term process is needed to restore the desertified grassland to the grassland in the natural state by using the shrub and grass planting bags in proportion, test data of 3 years cannot represent the long-term process, and the data of the last 2021 year in 8 months are subjected to important value analysis and are compared with the original grassland important value. The important values of the planting bag 1 are that the maximum value of the wheatgrass and the Chinese wildrye is 0.24 and 0.19 respectively, and the maximum value of the alfalfa bean and the high-speed sand planting is 0.15 and 0.10 respectively, which indicates that the main dominant species are the grassy ice grass and the Chinese wildrye of the gramineae and the alfalfa bean and the high-speed sand planting of the leguminosae, and are matched with the types of the dominant species of the natural vegetation, namely the Chinese wildrye, the wheatgrass and the miscellaneous grass; the important values of the grasses such as the leymus chinensis, the wheatgrass and the like of the planting bags 2 and 4 are relatively close to those of natural grassland, the grasses are the dominant species in the community, and the planting bags 4 are leguminous, and although the leguminous is also a suboptimal plant, the planting bags 4 can substitute for the high-yield firewood and high-yield sand of the Melissitus ruthenicus. Therefore, after 3 years of restoration, the planting bags 1, 2 and 4 are closer to the vegetation composition of the natural grassland. The planting bag 3 is made of the miscellaneous grass and the salsola collina which becomes the dominant plant and is not in accordance with the composition of natural grassland plants. By contrast, the planting bag 2 is closer to the natural grassland plant composition in the 3-year ecological restoration.
The similarity of the planting bags 1 and 4 is more than 0.5, and the dominant species, the sub-dominant species and the main associated species are the same or similar to natural vegetation, and are positively replaced to a top-level community, thereby conforming to the concept and principle of near-natural restoration. And the planting bag 2 has the similarity less than 0.5 although the dominant species are the same as the natural grassland, and the similarity and the dominant species of the planting bag 3 do not meet the requirements. The planting bags 2 and 3 can be further screened by adjusting the plant species combination or configuration proportion, and combinations meeting requirements are popularized and tried out and are not eliminated satisfactorily.
2. Grass irrigation planting bag optimization in positive blue flag test area
2.1 design of the experiment
After natural preparation survey and analysis are performed on the wula cap cells by the method of example 1, data and documents are comprehensively consulted, 3 modes such as the survey of the managed sand species and the survey of the simulation value are researched, the species and the seeds which can be provided in large quantity in the current market are mainly used, the shrub grass planting packages are preliminarily configured as follows, the test cells are arranged on the positive blue flag solar chart of the union of kuo-lei in the tin forest, 5 shrub grass planting package combinations (shown in table 8) are arranged in the cells aiming at the composition of 5 natural grassland vegetation, each shrub grass planting package combination is 3 times repeated, and the size of the cell is 3 x 4m2And the seeding is finished in 7 months and 10 days in 2019 in the cell, and the seeding amount is 3.0 kg/mu. In 2019, the 8 months, preliminary investigation and statistics are carried out on cells. And (4) vegetation investigation (monthly field investigation of the variety, the abundance, the coverage and the height of vegetation in a sample, measurement of the aboveground biomass at the end of the growing season, namely in the late 8 th month each year by a sample method and a harvesting drying and weighing method, and investigation of individual plant characters including the number of plants, the height of plants and the coverage by visual inspection, folding ruler and the like.
TABLE 8 Positive blue flag plot experimental design
Figure BDA0003426096500000111
2.2 evaluation of restoration Effect of planting bag for blue flag
The restoration effect survey data of the positive blue flag planting package are shown in tables 9 and 10.
TABLE 92021 Table for recovery effect of Zhenglan flag shrubbery and grass planting bag
Figure BDA0003426096500000112
Figure BDA0003426096500000121
TABLE 102021 comparison of Zheng-lan flag in multiple times
Figure BDA0003426096500000122
Figure BDA0003426096500000131
*. the significance level of the mean difference was 0.05.
The shrub and grass planting bag is mainly prepared according to a natural vegetation survey sample prescription, and the longer the recovery time is, the better the recovery effect is, so the recovery effect evaluation is carried out according to the survey data of 8 months in 2021. As can be seen from table 9, the height, coverage and density of each of the planting bags achieved good recovery. The average height of the planting bag 3 is the highest and reaches 27.27cm, the average coverage of the planting bag 3 is the highest and reaches 62.67%, and the density of the planting bag 1 is the highest and reaches 42.67 plants/m2. Because the proportion of plants in each grass planting bag is different, the performance of the possible treatment effect on height, coverage and density is different.
As can be seen from table 10, the height of the planting bag 3 was significantly higher than the height of the planting bags 2 and 5(P < 0.05) in the expression of the vegetation height after restoration, and the coverage of the planting bag 3 was significantly higher than the coverage of the planting bags 2 and 5(P < 0.05) in the expression of the vegetation coverage after restoration, and the restoration effect of the shrub grass planting bag 3 was the best in terms of height and coverage. In the expression of vegetation density after restoration, planting bag 1 was significantly higher than planting bag 3(P < 0.05), possibly due to interspecies competition, resulting in a decrease in the density of planting bag 3.
2.3 similarity comparison
The results of the comparison of the effect of the positive blue flag planting bag and the similarity of the natural grassland are shown in tables 11 to 15.
Similarity comparison
Similarity coefficient:
Figure BDA0003426096500000141
s-similarity coefficient
a is the number of species in a sample (or population) a
b is the number of species in the sample (or population) b
c is the number of seeds common to both samples
The similarity coefficient S of the planting bag 1 is as follows: s2 × 3/(6+4) ═ 0.6, indicating that the planting bag 1 is more similar to natural vegetation.
The similarity coefficient S2 × 4/13 is 0.62, which indicates that the plant bag 2 has a higher similarity with natural vegetation.
The similarity coefficient S of the planting bag 3 is 2 × 3/10 ═ 0.6, which indicates that the planting bag 3 has higher similarity with natural vegetation.
The similarity coefficient S of the planting bag 4 is 2 × 4/12, which is 0.67, and indicates that the planting bag 4 has higher similarity with natural vegetation.
The similarity coefficient S of the planting bag 5 is 2 × 5/18 ═ 0.56, which indicates that the planting bag 5 has a low similarity with natural vegetation.
And (5) comparing the similarity to obtain that the recovery effect of the planting bag 4 is most similar to that of the natural grassland vegetation.
TABLE 11 comparison of Zhenglan flag shrubbery planting bag 1 with natural grassland
Figure BDA0003426096500000142
TABLE 12 comparison of Zhenglan flag shrubbery planting bag 2 with natural grassland
Figure BDA0003426096500000143
Figure BDA0003426096500000151
TABLE 13 comparison of Zhenglan flag shrubbery planting bag 3 with natural grassland
Figure BDA0003426096500000152
TABLE 14 comparison of Zhenglan flag shrubbery planting bag 4 with natural grassland
Figure BDA0003426096500000153
TABLE 15 comparison of Zhenglan flag shrubbery planting bag 5 with natural grassland
Figure BDA0003426096500000154
The important comparison is mainly to obtain the dominant plants of each planting bag, the most important value of each planting bag belongs to the dominant species, whether the dominant species of the planting bags are the same as the dominant species of the natural vegetation is compared, if the dominant species of the planting bags are the same as the dominant species of the natural vegetation, the simulated vegetation succession direction is correct, otherwise, the simulated vegetation succession direction is changed, and the dominant species of the planting bags are the same or similar to the dominant species of the natural vegetation.
And (3) after the blue flag planting bags are planted for 3 years, carrying out important value analysis on the data of 8 months in 2021 to determine dominant species and companion species, and comparing the dominant species and companion species with the important values of the original natural vegetation to determine the planting bags.
The important values of the planting bag 1 are 0.26, 0.35 and 0.24 of the largest important values of the malpighia glabra, the ice grass and the alfalfa, respectively, the main dominant species are shrubs mainly comprising the malpighia glabra, and the grass mainly comprising the ice grass, the alfalfa bean and annual oat, and are the same as the natural vegetation type of the malpighia glabra, the ice grass and the alfalfa bean.
The important value analysis of the planting bag 2 is that the types of the Gastrodia elata Blume + the wheatgrass + the Shazawang are identical with the simulated vegetation structure of the Gastrodia elata Blume + the wheatgrass, and the Gastrodia elata Blume is a substitute of the original natural vegetation.
The planting bag 3 has the largest important value of the poplar and the wheatgrass, the natural vegetation types are artemisia sphaerocephala, caragana microphylla and wheatgrass, the poplar is used for replacing the caragana microphylla during configuration, and the main dominant species of the planting bag is basically the same as the dominant species of the natural vegetation.
The planting bag 4 is added with thinopyrum intermedium of Gramineae and the artemisia capillaris of Compositae on the basis of the planting bag 3, and the medicina rupestris in the original bag is replaced by the Shadawang, so that the effect after planting is basically the same as the main dominant species of the original natural vegetation types of the artemisia sphaerocephala, the caragana microphylla and the agropyron cristatum, and the important values of the poplar, the wheatgrass and the middle elytum repens are larger.
The planting bag 5 has the greater importance of the ice grass and the caragana microphylla, and the dominant species of the natural vegetation of the caragana microphylla, the cold wormwood, the stipa glauca and the ice grass in the original natural vegetation are basically the same.
The similarity of the positive blue flag planting bag 1-5 is more than 0.5, and the dominant species, the subauge species and the main associated species are the same or similar to natural vegetation, and are carried out forward to the top-level community, thereby conforming to the concept and principle of near-natural restoration. Therefore, the positive blue flag planting bag is close to the natural vegetation in configuration combination and proportion, and species except configuration species gradually enter and gradually succeed towards the natural vegetation type direction, and more argumentations still need to be continuously monitored and data are collected later.

Claims (6)

1. A method for configuring shrub and grass planting bags under the condition of near-nature recovery of northern sandy areas is characterized by comprising the following specific steps:
s1, collecting survey data, analyzing the standing conditions of local sandy land and sandy grassland and the ecological characteristics of main natural vegetation types by combining sample plot and sample survey, and providing basis for determining the composition of the shrub and grass planting bag species;
s2, determining the type of the natural vegetation through analysis of opposite terrain conditions and survey data of the type of the natural vegetation, determining the species composition of the shrub and grass planting bag according to the community characteristics and the main plant species composition structure of the natural vegetation, and preferentially adopting the wild species in the natural vegetation for configuration; the species allocation needs to fully consider the mixing of gramineae and leguminous plants, the mixing of perennial plants and annual plants, and the mixing of shrub plants and herbaceous plants, so as to ensure the organic combination of the adaptability, the stability and the long-term and short-term benefits of the allocated 'shrub and grass planting bag';
s3 planting test and effect evaluation
Performing on-site seeding test on the proportioned shrub and grass planting bags, investigating vegetation recovery effect 2-3 years later, comparing vegetation type composition and community structure index recovered by the shrub and grass planting bags for investigation with natural vegetation indexes, performing similarity analysis and plant type composition and dominant species analysis, determining dominant species by calculating important values, wherein the similarity analysis is used for judging the similarity of the shrub and grass planting bags for recovering vegetation, and the important value analysis is used for judging whether the dominant species of the planting bags are the same as the dominant species of the natural vegetation;
s4, optimizing and shaping product
Through the analysis of similarity and plant species composition with natural vegetation, if the similarity between the planting bag and the natural vegetation is more than or equal to 0.5, and the dominant species of the planting bag is the same as the dominant species of the natural vegetation or the plant species of the planting bag replacing the natural vegetation is the same as the natural vegetation, the species composition and the proportion of the planting bag are used as the species composition and the proportion of the final product for shaping; if the similarity is less than 0.5 and the dominant species of the planting bag is different from the dominant species of the natural vegetation, the species and the proportion of the shrub and grass planting bag need to be optimized according to the similarity analysis process, the optimal shrub and grass planting bag combination is selected by adjusting the plant species and the configuration proportion of the planting bag, carrying out planting test, monitoring and screening of recovery effect until the similarity is more than or equal to 0.5 and the dominant species are the same, and finally determined species composition and proportion are used as the species composition and proportion for final product shaping.
2. The method for configuring shrub grass planting packages for near nature recovery in northern sandy areas as claimed in claim 1, wherein the main investigation content of step S1 includes:
(1) regional climate characteristics: precipitation, frost period and accumulated temperature;
(2) the characteristic parameters of the location: topography, soil type and physicochemical properties;
(3) community phytology characteristic parameters: species composition, community structure, and height, coverage, density of different plants.
3. The northern sand area near nature recovery shrubbery planting bag configuration method according to claim 1, wherein the sample plot survey of step S1 is conducted by setting a sample recipe, specifically:
setting a sample in the sample plot according to the representative and uniformity principles, wherein the selection of the sample can reflect the vegetation coverage and the average level of biomass in the whole class, and the vegetation of the sample has typicality in the class; in a sample plot with shrubs, 1 shrub and tall herb sample is arranged, and 3 seed-dividing samples are arranged on the herb sample; when the sample is arranged in the herbaceous and small shrub sample plot, according to the typical principle, selecting the sections which can represent the grassland vegetation, the terrain and the soil characteristics of the whole sample plot, specifically: according to the vegetation condition, dividing the vegetation into herbaceous and small shrub samples and shrub and high herbaceous samples, wherein the size of the herbaceous and small shrub samples is 1m multiplied by 1 m; the sizes of shrubs and high herbaceous plants are divided into two cases, the first case is a sample plot with sparsely distributed shrubs and high herbaceous plants and the size of the sample plot is 10m multiplied by 10m, the second case is that the shrubs and the high herbaceous plants are densely and uniformly distributed or the plants are relatively small, and the size of the sample plot is 5m multiplied by 5 m; determining the community height and coverage, the height, coverage, density and biomass of each plant species by a species classification sample; the name-recording sample prescription measures the frequency of plant species.
4. The method for configuring shrub and grass planting packages for near natural recovery in northern sandy areas according to claim 1, wherein the step S2 comprises the following steps:
(1) investigating natural vegetation;
(2) determining the seed composition of the shrub and grass planting bag plant: by analyzing the survey results of the natural vegetation, determining dominant species, subalpine species and companion species of the natural vegetation, and taking the dominant species, the subalpine species and the companion species as basic compositions of the species of the shrub and grass planting bags, wherein the mutual proportion of the species in the natural vegetation is used as an important reference basis for the plant species proportion of the shrub and grass planting bags;
the dominant species are determined by the important values of various plants in the technical community, and the calculation formula of the important values is as follows:
importance value ═ relative density + relative height + relative coverage)/3
Relative coverage ═ 100% (coverage of the species/total coverage of all species) ×
Relative density (density of the species/sum of densities of all species) × 100%
Relative height ═ (height of the species/sum of heights of all species) × 100%;
(3) seed collection
According to the determined species composition, the seed maturing condition of the plant seeds of the shrub and grass planting bag to be configured is investigated in the natural vegetation community, an acquisition plan is drawn, all the plant seeds which can be acquired are acquired as far as possible, wild seeds are acquired, and the wild seeds are processed according to the relative standard requirements of seed purity, germination percentage and moisture and then are used;
(4) seed matching
Selecting seeds which are difficult to collect or have insufficient seed collection quantity for replacing similar varieties or seeds sold in the market and having the same ecological adaptability;
(5) species ratio
The allocation proportion of the seeds of each species is determined according to the composition proportion of the natural vegetation species, the local site condition, the germination and growth condition of the seeds and the sowing mode.
5. The method for configuring shrub and grass planting packages for near natural restoration in northern sandy areas according to claim 1, wherein the vegetation composition and community structure in step S3 are investigated by a conventional ecological field investigation method, wherein the investigation method comprises 1m × 1m herbaceous species and 10m × 10m shrub species; measuring the vegetation coverage by adopting a network cable method; the density is measured by a counting method; measuring the biomass on the ground, namely, uniformly separating seeds and cutting stems and leaves on the ground, weighing fresh weight, bagging, taking back to a laboratory, drying at 65 ℃ and measuring dry weight.
6. The method for configuring shrub grass planting packages for near natural recovery in northern sandy areas as claimed in claim 1, wherein said similarity analysis formula in step S3 is
Figure FDA0003426096490000031
Wherein S is a similarity coefficient; a is the number of the samples or colonies a; b is the number of the samples or colonies b; c is the number of seeds common to both samples.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116138113A (en) * 2023-04-20 2023-05-23 水利部牧区水利科学研究所 Degraded grassland vegetation restoration method for forestry planting

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108901647A (en) * 2018-06-22 2018-11-30 内蒙古蒙草生态环境(集团)股份有限公司 The restoration methods and grassland region ecological restoring method of grassland region devastated land vegetation
CN112070152A (en) * 2020-09-07 2020-12-11 中国农业科学院农业环境与可持续发展研究所 Evaluation method for grazing recovery effect of degenerated alpine meadow
CN112449976A (en) * 2020-12-01 2021-03-09 重庆地质矿产研究院 Plant configuration method for near-natural community construction of surface mine and industrial waste site

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108901647A (en) * 2018-06-22 2018-11-30 内蒙古蒙草生态环境(集团)股份有限公司 The restoration methods and grassland region ecological restoring method of grassland region devastated land vegetation
CN112070152A (en) * 2020-09-07 2020-12-11 中国农业科学院农业环境与可持续发展研究所 Evaluation method for grazing recovery effect of degenerated alpine meadow
CN112449976A (en) * 2020-12-01 2021-03-09 重庆地质矿产研究院 Plant configuration method for near-natural community construction of surface mine and industrial waste site

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
吕刚等: "《矿山废弃地土壤侵蚀与植被恢复研究》", 28 February 2015, 辽宁科学技术出版社 *
张孝羲: "《昆虫生态及预测预报》", 28 February 2002, 中国农业出版社 *
胡尔查等: "不同治理模式下沙质草原区风蚀破口植被恢复效果研究", 《内蒙古林业科技》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116138113A (en) * 2023-04-20 2023-05-23 水利部牧区水利科学研究所 Degraded grassland vegetation restoration method for forestry planting

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