CN111034527B - Method for researching influence of grass grid afforestation on vegetation and soil characteristics - Google Patents
Method for researching influence of grass grid afforestation on vegetation and soil characteristics Download PDFInfo
- Publication number
- CN111034527B CN111034527B CN201911323014.6A CN201911323014A CN111034527B CN 111034527 B CN111034527 B CN 111034527B CN 201911323014 A CN201911323014 A CN 201911323014A CN 111034527 B CN111034527 B CN 111034527B
- Authority
- CN
- China
- Prior art keywords
- soil
- sample
- diversity
- vegetation
- plant
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G17/00—Cultivation of hops, vines, fruit trees, or like trees
- A01G17/005—Cultivation methods
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G7/00—Botany in general
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Botany (AREA)
- Environmental Sciences (AREA)
- Biodiversity & Conservation Biology (AREA)
- Ecology (AREA)
- Forests & Forestry (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
Abstract
The invention discloses a method for researching the influence of grass square afforestation on vegetation and soil characteristics, which comprises the following steps: step 1, the influence of different grass square afforestation tree species on vegetation and soil characteristics; step 2, responding to different topographic characteristics of grass square forestation by the relation between soil characteristics and plant diversity; step 3, influence of different sand fixation measures on the relation between soil characteristics and plant diversity; step 4, statistical analysis; and 5, comprehensively evaluating. The method comprises the steps of firstly, controlling conditions such as different afforestation tree species, topographic features, sand fixation measures and the like through field test design, selecting a typical sample plot and setting a sample prescription, and carrying out vegetation investigation, soil sampling and indoor analysis; then carrying out statistical analysis, establishing a model and carrying out comprehensive evaluation, revealing evolution rules of soil characteristics, plant diversity and relationship thereof, and obtaining the ecological effect of grass square afforestation in the semiarid region, thereby providing theoretical basis and practical guidance for the improvement of the desertification grassland restoration technology.
Description
Technical Field
The invention belongs to the technical field of ecology, and relates to a method for researching the influence of grass square afforestation on vegetation and soil characteristics.
Background
Fence enclosure, mechanical sand barrier sand stabilization and artificial vegetation restoration measures are the main means for restoration and treatment of the current desertification grassland. The use mode of organically combining the mechanical sand barrier method with the artificial vegetation is more widely applied. At present, researches on desertification grassland degradation mechanisms, vegetation recovery technical measures, recovery treatment mode demonstration, popularization and the like are more at home and abroad; the adaptive mechanism of artificial vegetation to sandy grassland and the response mechanism of rhizosphere soil microbiology characteristic to vegetation restoration are relatively weak. The important direction of future research is to explore vegetation recovery technology which gives consideration to ecological and economic benefits, and particularly to develop comprehensive vegetation recovery treatment mode research of multidisciplinary cross integration according to local conditions according to the degradation characteristics of desertification grasslands in different regions.
Disclosure of Invention
The invention aims to provide a method for researching the influence of grass square afforestation on vegetation and soil characteristics.
The specific technical scheme is as follows:
a method for researching the influence of grass square afforestation on vegetation and soil characteristics comprises the following steps:
step 1, influence of different grass square afforestation tree species on vegetation and soil characteristics
Selecting and establishing a sand-fixing recovery area of nearly 20 years, and respectively selecting 3 grass square afforestation tree species of pure caragana microphylla, pure flower sticks, caragana microphylla and flower sticks hybrid, caragana microphylla and Calligonum mongolicum hybrid and flower sticks and Calligonum mongolicum hybrid respectively; carrying out vegetation investigation, soil sampling and soil physical and chemical property and microorganism diversity determination;
step 2, responding to different topographic characteristics of grass square forestation by the relation between soil characteristics and plant diversity
In a sand stabilization recovery area in 2009, typical sample plots of the middle of a sand dune windward slope, the top of the sand dune, the middle of a leeward slope and a low land among the sand dunes are respectively selected for carrying out vegetation investigation and soil sampling, and the response of the relation between the soil characteristics and the plant diversity to different topographic characteristics of grass square afforestation is researched. Vegetation survey, soil sampling, soil physicochemical properties and microbial diversity determination were according to the method described in step 1, but the spacing between the two parallel lines was 1 m.
Step 3, influence of different sand fixation measures on soil characteristics and plant diversity relation
In a sand fixation recovery area in 2014, 3 different sand fixation measure sample plots of grass square pricked + caragana microphylla planted, caragana microphylla planted but not grass square pricked and caragana microphylla planted but not caragana microphylla planted are respectively selected, and meanwhile, 3 flowing sand lands without any sand fixation measure are selected nearby to be used as a contrast for carrying out vegetation investigation and soil sampling, so that the influence of different sand fixation measures on the soil characteristic and the plant diversity relation is researched. Vegetation survey, soil sampling, soil physicochemical properties and microbial diversity determination the method described in step 1 was followed.
Step 4, statistical analysis
Step 5, comprehensive evaluation
And comprehensively considering the results of the analysis of variance, regression analysis and SEM model, extracting threshold values and indication groups of soil microorganism diversity and plant diversity, and using the threshold values and the indication groups to represent the effects of various grass square afforestation modes. Meanwhile, combining with mathematical methods such as an analytic hierarchy process, gray level correlation analysis, fuzzy comprehensive evaluation and the like, a grass square afforestation mode evaluation system is constructed.
Further, the step 1 specifically comprises the following steps:
1.1 vegetation survey:
the size of each plot is 100m × 100m, and similar terrain conditions should be provided between plots. 3 parallel sample lines 30m long are provided in each sample pattern, and the interval between two adjacent sample lines is 20 m. On each line, a 10m × 10m square was set every 10m for investigating shrub plants, and at the same time, a 1m × 1m square was set for investigating herbs. The number of plants, the coverage, height, abundance, frequency and biomass of each plant species were investigated in each sample, and the abundance, height and crown width of shrub plants were investigated. The sample prescription survey is carried out in the period of 6-7 months of each year during which the plants grow vigorously. The multi-degree data of each species will be used to calculate the diversity index, and other parameters will provide auxiliary support for model building.
1.2 soil sampling:
while the plants are investigated, selecting 5 points in each herbal sample according to a quincunx shape, collecting 0-10cm soil samples at each point by using a soil drill with the diameter of 4cm, fully and uniformly mixing the soil samples collected at the 5 points in each sample to form a sample, placing the sample into a sample box filled with dry ice for storage, and taking the sample back to a laboratory for further analysis; meanwhile, soil samples of 0-10cm, 10-20cm, 20-30cm and 30-40cm are respectively collected at other positions in the sample prescription by adopting a 5-point method and are used for measuring the soil moisture. The soil samples collected at 5 points of each layer in the same sample prescription are mixed to form a sample, and the wet weight of the sample is quickly weighed.
1.3 analysis of physical and chemical properties of soil:
measuring the water content of the soil by adopting a drying method; the volume weight of the soil adopts a cutting ring method; the soil mechanical composition is measured by a Microtrac S3500 particle size analyzer (Microtrac Inc.); the organic carbon content of the soil is determined by a potassium dichromate volumetric method; the total nitrogen content adopts a Kjeldahl method; the content of alkaline hydrolysis nitrogen adopts an alkaline hydrolysis diffusion method; the total phosphorus content adopts a sodium hydroxide fusion-molybdenum-antimony colorimetric resistance method; the quick-acting phosphorus content adopts 0.5 mol.L-1NaHCO3Measuring by a method; the total potassium content adopts sodium hydroxide fusion-flame photometry; the quick-acting potassium content adopts NH4OAc leaching-flame photometry.
1.4 soil microbial diversity analysis:
the soil microbial community structure and diversity analysis thereof are determined by a high-throughput sequencing method. Using a 7 month soil sample, 3 replicates were performed according to the test design. The DNA of the Soil samples was first extracted using a Power Soil DNA extraction Kit (Power Soil. TM. DNA Isolation Kit, MOBIO Laboratories, Carlsbad, Calif., USA). Amplification was performed using primers specific for the ITS rRNA and 16S rRNA genes, and bacterial and fungal community structural features were analyzed by Illumina MiSeq high throughput sequencing. The soil samples were sent to Oveson Gene science and technology Co., Ltd, Beijing for high throughput sequencing.
Further, step 4 specifically comprises:
the abundance of plant species directly uses the number of plants obtained in the vegetation survey process; the diversity of the plant species was calculated using shannon-kana indices:
wherein H' is a Shannon-Vera index, S is a plant number, PiRepresents the proportion of the abundance of the ith species in the community in the abundance of all the species:
wherein n isiIs the number of plants of the ith plant species, and NI is the sum of the number of plants of all plant species.
The soil moisture content is calculated according to the following formula:
wherein SW is the soil moisture, W is the wet weight of the soil sample, and D is the dry weight thereof.
The soil volume weight is calculated according to the following formula:
wherein BD is the soil volume weight, W is the wet weight of the soil sample in the entire cutting ring, SW is the soil moisture content, and V is the volume of the cutting ring.
The influence of different afforestation tree species, topographic features and sand fixation measures on soil features and plant diversity and the interaction relation of all factors are analyzed by multi-factor variance; the differences of various properties of soil and plant diversity under various treatments are analyzed by adopting single-factor variance; the method comprises the steps of firstly pre-analyzing the relationship between each factor of soil and plant diversity by combining correlation analysis and a scatter diagram, removing indexes with insignificant relationship, establishing a regression model by using stepwise regression analysis, and finally establishing a Structural Equation Model (SEM) for each factor on the whole, so as to clarify the regulation effect of the soil microorganism diversity on the relationship between each factor of soil and plant diversity under the regulation and control of various grass square afforestation control conditions.
Compared with the prior art, the invention has the beneficial effects that:
the method comprises the steps of firstly, controlling conditions such as different afforestation tree species, topographic features, sand fixation measures and the like through field test design, selecting a typical sample plot and setting a sample prescription, and carrying out vegetation investigation, soil sampling and indoor analysis; then carrying out statistical analysis, establishing a model and carrying out comprehensive evaluation, revealing evolution rules of soil characteristics, plant diversity and relationship thereof, and obtaining the ecological effect of grass square afforestation in the semiarid region, thereby providing theoretical basis and practical guidance for the improvement of the desertification grassland restoration technology.
Drawings
FIG. 1 is a technical route chart of the method for studying the influence of grass square afforestation on vegetation and soil characteristics according to the present invention.
Detailed Description
The technical solution of the present invention will be described in further detail with reference to the accompanying drawings.
1. Study protocol
1.1 Effect of different grass grid forestation species on Vegetation and soil characteristics
Selecting and establishing a sand-fixing recovery area of nearly 20 years, and selecting 3 grass square afforestation tree species respectively as pure caragana microphylla, pure flower sticks, caragana microphylla and flower sticks hybrid, caragana microphylla and Calligonum mongolicum hybrid, and flower sticks and Calligonum mongolicum hybrid.
1.1.1 Vegetation survey:
the size of each plot is 100m × 100m, and similar terrain conditions should be provided between plots. 3 parallel sample lines 30m long are provided in each sample pattern, and the interval between two adjacent sample lines is 20 m. On each line, a 10m × 10m square was set every 10m for investigating shrub plants, and at the same time, a 1m × 1m square was set for investigating herbs. The number of plants, the coverage, height, abundance, frequency and biomass of each plant species were investigated in each sample, and the abundance, height and crown width of shrub plants were investigated. The sample prescription survey is carried out in the period of 6-7 months of each year during which the plants grow vigorously. The multi-degree data of each species will be used to calculate the diversity index, and other parameters will provide auxiliary support for model building.
1.1.2 soil sampling:
while the plants are investigated, selecting 5 points in each herbal sample according to a quincunx shape, collecting 0-10cm soil samples at each point by using a soil drill with the diameter of 4cm, fully and uniformly mixing the soil samples collected at the 5 points in each sample to form a sample, placing the sample into a sample box filled with dry ice for storage, and taking the sample back to a laboratory for further analysis; meanwhile, soil samples of 0-10cm, 10-20cm, 20-30cm and 30-40cm are respectively collected at other positions in the sample prescription by adopting a 5-point method and are used for measuring the soil moisture. The soil samples collected at 5 points of each layer in the same sample prescription are mixed to form a sample, and the wet weight of the sample is quickly weighed.
1.1.3 analysis of physical and chemical properties of soil:
measuring the water content of the soil by adopting a drying method; the volume weight of the soil adopts a cutting ring method; the soil mechanical composition is measured by a Microtrac S3500 particle size analyzer (Microtrac Inc.); the organic carbon content of the soil is determined by a potassium dichromate volumetric method; the total nitrogen content adopts a Kjeldahl method; the content of alkaline hydrolysis nitrogen adopts an alkaline hydrolysis diffusion method; the total phosphorus content adopts a sodium hydroxide fusion-molybdenum-antimony colorimetric resistance method; the quick-acting phosphorus content adopts 0.5 mol.L-1NaHCO3Measuring by a method; the total potassium content adopts sodium hydroxide fusion-flame photometry; the quick-acting potassium content adopts NH4OAc leaching-flame photometry.
1.1.4 soil microbial diversity analysis:
the soil microbial community structure and diversity analysis thereof are determined by a high-throughput sequencing method. Using a 7 month soil sample, 3 replicates were performed according to the test design. The DNA of the Soil samples was first extracted using a Power Soil DNA extraction Kit (Power Soil. TM. DNA Isolation Kit, MOBIO Laboratories, Carlsbad, Calif., USA). Amplification was performed using primers specific for the ITS rRNA and 16S rRNA genes, and bacterial and fungal community structural features were analyzed by Illumina MiSeq high throughput sequencing. The soil samples were sent to Oveson Gene science and technology Co., Ltd, Beijing for high throughput sequencing.
1.2 soil characteristics vs. plant diversity response to different topographical characteristics of grass square forestation
In a sand stabilization recovery area in 2009, typical sample plots of the middle of a sand dune windward slope, the top of the sand dune, the middle of a leeward slope and a low land among the sand dunes are respectively selected for carrying out vegetation investigation and soil sampling, and the response of the relation between the soil characteristics and the plant diversity to different topographic characteristics of grass square afforestation is researched. Vegetation survey, soil sampling, soil physicochemical properties and microbial diversity determination were according to the method described in step 1, but the spacing between the two parallel lines was 1 m.
1.3 Effect of different Sand-fixing measures on the relationship between soil characteristics and plant diversity
In a sand fixation recovery area in 2014, 3 different sand fixation measure sample plots of grass square pricked + caragana microphylla planted, caragana microphylla planted but not grass square pricked and caragana microphylla planted but not caragana microphylla planted are respectively selected, and meanwhile, 3 flowing sand lands without any sand fixation measure are selected nearby to be used as a contrast for carrying out vegetation investigation and soil sampling, so that the influence of different sand fixation measures on the soil characteristic and the plant diversity relation is researched. Vegetation survey, soil sampling, soil physicochemical properties and microbial diversity determination the method described in step 1 was followed.
2. Statistical analysis method
2.1 statistical analysis
2.1.1 calculation of plant diversity and soil part characteristics
The abundance of plant species directly uses the number of plants obtained in the vegetation survey process; the diversity of the plant species was calculated using shannon-kana indices:
wherein H' is a Shannon-Vera index, S is a plant number, PiRepresents the proportion of the abundance of the ith species in the community in the abundance of all the species:
wherein n isiIs the number of plants of the ith plant species, and NI is the sum of the number of plants of all plant species.
The soil moisture content is calculated according to the following formula:
wherein SW is the soil moisture, W is the wet weight of the soil sample, and D is the dry weight thereof.
The soil volume weight is calculated according to the following formula:
wherein BD is the soil volume weight, W is the wet weight of the soil sample in the entire cutting ring, SW is the soil moisture content, and V is the volume of the cutting ring.
2.1.2 statistical analysis
The influence of different afforestation tree species, topographic features and sand fixation measures on soil features and plant diversity and the interaction relation of all factors are analyzed by multi-factor variance; the differences of various properties of soil and plant diversity under various treatments are analyzed by adopting single-factor variance; the method comprises the steps of firstly pre-analyzing the relationship between each factor of soil and plant diversity by combining correlation analysis and a scatter diagram, removing indexes with insignificant relationship, establishing a regression model by using stepwise regression analysis, and finally establishing a Structural Equation Model (SEM) for each factor on the whole, so as to clarify the regulation effect of the soil microorganism diversity on the relationship between each factor of soil and plant diversity under the regulation and control of various grass square afforestation control conditions.
2.2 comprehensive evaluation
And comprehensively considering the results of the analysis of variance, regression analysis and SEM model, extracting threshold values and indication groups of soil microorganism diversity and plant diversity, and using the threshold values and the indication groups to represent the effects of various grass square afforestation modes. Meanwhile, combining with mathematical methods such as an analytic hierarchy process, gray level correlation analysis, fuzzy comprehensive evaluation and the like, a grass square afforestation mode evaluation system is constructed.
3 technical route
The research method system firstly controls different afforestation tree species, topographic features, sand fixation measures and other conditions through field test design, selects a typical sample plot and sets a sample prescription, and carries out vegetation investigation, soil sampling and indoor analysis; then carrying out statistical analysis, establishing a model and carrying out comprehensive evaluation, revealing evolution rules of soil characteristics, plant diversity and relationship thereof, and obtaining the ecological effect of grass square afforestation in the semiarid region, thereby providing theoretical basis and practical guidance for the improvement of the desertification grassland restoration technology. The specific technical route is shown in figure 1.
The above description is only a preferred embodiment of the present invention, and the scope of the present invention is not limited thereto, and any simple modifications or equivalent substitutions of the technical solutions that can be obviously obtained by those skilled in the art within the technical scope of the present invention are within the scope of the present invention.
Claims (1)
1. A method for researching the influence of grass square afforestation on vegetation and soil characteristics is characterized by comprising the following steps:
step 1, influence of different grass square afforestation tree species on vegetation and soil characteristics
Selecting and establishing a sand-fixing recovery area of nearly 20 years, and respectively selecting 3 grass square afforestation tree species of pure caragana microphylla, pure flower sticks, caragana microphylla and flower sticks hybrid, caragana microphylla and Calligonum mongolicum hybrid and flower sticks and Calligonum mongolicum hybrid respectively; carrying out vegetation investigation, soil sampling and soil physical and chemical property and microorganism diversity determination;
in the step 1, the vegetation investigation, the soil sampling, the soil physicochemical property and the microorganism diversity determination specifically comprise the following steps:
1.1 vegetation survey:
the size of each plot is 100m × 100m, and similar terrain conditions should exist among various plots; 3 parallel sample lines with the length of 30m are arranged in each sample plot, and the interval between every two adjacent sample lines is 20 m; on each sample line, a 10m × 10m sample is arranged every 10m for investigating shrub plants, and meanwhile, a 1m × 1m sample is arranged for investigating herbaceous plants; respectively investigating the number of plants in each sample, the coverage, height, abundance, frequency and biomass of each plant, and investigating the abundance, height and crown width of shrub plants; the sample prescription survey is carried out in the period of 6-7 months of each year when the plants grow vigorously; the multi-degree data of each species is used for calculating a diversity index, and other parameters provide auxiliary support for model establishment;
1.2 soil sampling:
while the plants are investigated, selecting 5 points in each herbal sample according to a quincunx shape, collecting 0-10cm soil samples at each point by using a soil drill with the diameter of 4cm, fully and uniformly mixing the soil samples collected at the 5 points in each sample to form a sample, placing the sample into a sample box filled with dry ice for storage, and taking the sample back to a laboratory for further analysis; meanwhile, collecting soil samples of 0-10cm, 10-20cm, 20-30cm and 30-40cm at other positions in the sample prescription by a 5-point method respectively for measuring soil moisture; mixing soil samples collected from 5 points on each layer in the same sample prescription to form a sample, and quickly weighing the wet weight of the sample;
1.3 analysis of physical and chemical properties of soil:
measuring the water content of the soil by adopting a drying method; the volume weight of the soil adopts a cutting ring method; the soil mechanical composition is measured by a Microtrac S3500 particle size analyzer; the organic carbon content of the soil is determined by a potassium dichromate volumetric method; the total nitrogen content adopts a Kjeldahl method; the content of alkaline hydrolysis nitrogen adopts an alkaline hydrolysis diffusion method; the total phosphorus content adopts a sodium hydroxide fusion-molybdenum-antimony colorimetric resistance method; the quick-acting phosphorus content adopts 0.5 mol.L-1NaHCO3Measuring by a method; total potassium content adopts hydrogenSodium oxide melt-flame photometry; the quick-acting potassium content adopts NH4OAc leaching-flame photometry;
1.4 soil microbial diversity analysis:
the soil microbial community structure and the diversity analysis thereof are measured by a high-throughput sequencing method; using a soil sample of 6 months, 3 replicates were performed according to the test design; firstly, extracting DNA of a soil sample by using a strong soil DNA extraction kit; specific primers of ITS rRNA and 16S rRNA genes are used for amplification, and structural characteristics of bacterial and fungal communities are analyzed through Illumina MiSeq high-throughput sequencing; sending the soil sample to Beijing Ovwsen Gene science and technology Limited for high-throughput sequencing;
step 2, responding to different topographic characteristics of grass square forestation by the relation between soil characteristics and plant diversity
In a sand stabilization recovery area in 2009, typical sample plots of the middle part of a sand dune windward slope, the top part of the sand dune, the middle part of a leeward slope and a low land between the sand dunes are respectively selected for carrying out vegetation investigation and soil sampling, and the response of the relation between soil characteristics and plant diversity to different topographic characteristics of grass square afforestation is researched; vegetation survey, soil sampling, soil physicochemical property and microbial diversity determination were performed according to the methods described in steps 1.1, 1.2, 1.3, 1.4, but with a spacing of 1m between the two parallel sample lines;
step 3, influence of different sand fixation measures on soil characteristics and plant diversity relation
In a sand fixation recovery area in 2014, 3 grass square plots are respectively selected and tied up and planted with caragana microphylla, only the caragana microphylla is planted but not tied up, only the grass square plots are tied up but not planted with the caragana microphylla, 3 different sand fixation measure plots are selected nearby respectively, meanwhile, 3 flowing sand lands which do not adopt any sand fixation measure are selected as a reference, vegetation investigation and soil sampling are carried out, and the influence of different sand fixation measures on the soil characteristics and the diversity relation of plants is researched; vegetation survey, soil sampling, soil physicochemical properties and microbial diversity determination according to the methods described in steps 1.1, 1.2, 1.3, 1.4;
step 4, statistical analysis
The method specifically comprises the following steps:
the abundance of plant species directly uses the number of plants obtained in the vegetation survey process; the diversity of the plant species was calculated using shannon-kana indices:
wherein H' is a Shannon-Vera index, S is a plant number, PiRepresents the proportion of the abundance of the ith species in the community in the abundance of all the species:
wherein n isiIs the number of plants of the ith plant species and NI is the sum of the number of plants of all plant species;
the soil moisture content is calculated according to the following formula:
wherein SW is soil moisture, W is the wet weight of the soil sample, and D is the dry weight thereof;
the soil volume weight is calculated according to the following formula:
wherein BD is the soil volume weight, W is the wet weight of the soil sample in the whole cutting ring, SW is the soil moisture content, and V is the volume of the cutting ring;
the influence of different afforestation tree species, topographic features and sand fixation measures on soil features and plant diversity and the interaction relation of all factors are analyzed by multi-factor variance; the differences of various properties of soil and plant diversity under various treatments are analyzed by adopting single-factor variance; the method comprises the steps of firstly, pre-analyzing the relationship between each factor of soil and plant diversity by combining correlation analysis and a scatter diagram, removing indexes with insignificant relationship, establishing a regression model by using stepwise regression analysis, and finally establishing a structural equation model for each factor on the whole, so as to clear the regulating effect of the soil microorganism diversity on the relationship between each factor of soil and plant diversity under the regulation and control of various grass square afforestation control conditions;
step 5, comprehensive evaluation
Comprehensively considering the results of the analysis of variance, regression analysis and structural equation model, extracting threshold values and indication groups of soil microorganism diversity and plant diversity for representing the effect of various grass square afforestation modes; meanwhile, combining an analytic hierarchy process, a gray level correlation analysis and a fuzzy comprehensive evaluation mathematical method to construct a grass square afforestation mode evaluation system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911323014.6A CN111034527B (en) | 2019-12-20 | 2019-12-20 | Method for researching influence of grass grid afforestation on vegetation and soil characteristics |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911323014.6A CN111034527B (en) | 2019-12-20 | 2019-12-20 | Method for researching influence of grass grid afforestation on vegetation and soil characteristics |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111034527A CN111034527A (en) | 2020-04-21 |
| CN111034527B true CN111034527B (en) | 2022-02-18 |
Family
ID=70238102
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911323014.6A Active CN111034527B (en) | 2019-12-20 | 2019-12-20 | Method for researching influence of grass grid afforestation on vegetation and soil characteristics |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111034527B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112729919A (en) * | 2020-12-29 | 2021-04-30 | 神华宝日希勒能源有限公司 | Open-pit mine area microorganism dynamic monitoring method |
| CN114375712B (en) * | 2022-01-17 | 2023-03-21 | 中国农业大学 | Research method for interaction between soil microbial diversity and plant stress |
| CN114651677A (en) * | 2022-04-06 | 2022-06-24 | 宁夏大学 | Method for optimizing artificial breeding conditions of wild sweet clover-shaped astragalus seeds in arid region |
| CN116119828A (en) * | 2022-12-21 | 2023-05-16 | 中电建路桥集团有限公司 | Ecological construction method for repairing water by combining multiple aquatic plants |
| CN116930459B (en) * | 2023-07-25 | 2024-03-12 | 江苏龙环环境科技有限公司 | Soil in-situ detection device and detection method thereof |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102680659A (en) * | 2011-03-11 | 2012-09-19 | 河北农业大学 | Method for determining constituents of soil at tailings mining area |
| CN107991431A (en) * | 2017-09-30 | 2018-05-04 | 北京林业大学 | A kind of Wetland Communities Investigation on Diversity and the method for sampling |
| CN109187922A (en) * | 2018-09-10 | 2019-01-11 | 西北农林科技大学 | The research method of biological community structure and organic carbon response relation in revegetation |
-
2019
- 2019-12-20 CN CN201911323014.6A patent/CN111034527B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102680659A (en) * | 2011-03-11 | 2012-09-19 | 河北农业大学 | Method for determining constituents of soil at tailings mining area |
| CN107991431A (en) * | 2017-09-30 | 2018-05-04 | 北京林业大学 | A kind of Wetland Communities Investigation on Diversity and the method for sampling |
| CN109187922A (en) * | 2018-09-10 | 2019-01-11 | 西北农林科技大学 | The research method of biological community structure and organic carbon response relation in revegetation |
Non-Patent Citations (3)
| Title |
|---|
| 3种不同机械沙障设置后期对沙丘植被和土壤粒度与水分的影响;丁爱强等;《中国水土保持》;20180531;第59-63页 * |
| 不同微地形固定沙丘地上植被、土壤种子库和土壤含水量的分布特征;韩润燕等;《草业科学》;20141031;第1825-1832页 * |
| 宁夏风沙区不同人工固沙灌丛林土壤质量评价;罗雅曦等;《水土保持研究》;20191031;第60-67页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111034527A (en) | 2020-04-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111034527B (en) | Method for researching influence of grass grid afforestation on vegetation and soil characteristics | |
| Nuccio et al. | Climate and edaphic controllers influence rhizosphere community assembly for a wild annual grass | |
| Svensson | Carbon dioxide and methane fluxes from the ombrotrophic parts of a subarctic mire | |
| Wu et al. | Changes of soil microbial biomass and bacterial community structure in Dongting Lake: impacts of 50,000 dams of Yangtze River | |
| Parker et al. | Invasive grasses increase nitrogen availability in California grassland soils | |
| Rocha et al. | Forest residue removal decreases soil quality and affects wood productivity even with high rates of fertilizer application | |
| Krishnamurthy et al. | Root growth in Jatropha and its implications for drought adaptation | |
| Anderson | Soil respiration, climate change and the role of microbial communities | |
| Morillas et al. | Wetting and drying events determine soil N pools in two Mediterranean ecosystems | |
| Grigg et al. | Water relations and mineral nutrition of closely related woody plant species on desert dunes and interdunes | |
| Cartaxana et al. | Seasonal variation of inorganic nitrogen and net mineralization in a salt marsh ecosystem | |
| Hussain et al. | Mapping of soil properties under different land uses in Lesser Karakoram range, Pakistan | |
| Amponsah et al. | Soil characteristics in teak plantations and natural forests in Ashanti region, Ghana | |
| Wang et al. | The effect of organic and conventional management practices on soil macropore structure in greenhouse vegetable production | |
| Zhang et al. | Effects of long-term vegetation restoration on soil physicochemical properties mainly achieved by the coupling contributions of biological synusiae to the Loess Plateau | |
| CN106053447A (en) | Method for measuring soil carbon sequestration effect in paddy rice growth period and biocarbon composition | |
| Henny et al. | Phytoplankton composition and the occurrence of cyanobacterial bloom in Lake Maninjau, Indonesia | |
| Cao et al. | Effects of planting orientation and density on the soil solution chemistry and growth of willow cuttings | |
| Steenwerth et al. | Microbial communities of a native perennial bunchgrass do not respond consistently across a gradient of land-use intensification | |
| Bergante et al. | Growth dynamics of ‘Imola’poplar clone (Populus× canadensis Mönch) under different cultivation inputs | |
| Lampa et al. | Effects of whole-tree harvesting on soil, soil water and tree growth–A dynamic modelling exercise in four long-term experiments | |
| Zhang et al. | Effects of soil erosion on soil quality in rocky mountain areas of northern China | |
| Munn et al. | Predicting Height Growth of Yellow‐poplar from Soils and Topography in Southeastern Ohio | |
| Bazgir et al. | Prioritizing woody species for the rehabilitation of arid lands in western Iran based on soil properties and carbon sequestration | |
| Willis et al. | Organic amendment increases arbuscular mycorrhizal fungal diversity in primary coastal dunes |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |