CN110322047A - Method for predicting spininess of camel sparsifolia in extremely arid region - Google Patents
Method for predicting spininess of camel sparsifolia in extremely arid region Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 31
- 241000282836 Camelus dromedarius Species 0.000 title abstract 2
- 239000002689 soil Substances 0.000 claims abstract description 66
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 58
- 239000003673 groundwater Substances 0.000 claims abstract description 43
- 238000011835 investigation Methods 0.000 claims abstract description 27
- 150000003839 salts Chemical class 0.000 claims abstract description 22
- 238000005516 engineering process Methods 0.000 claims abstract description 6
- 241001626384 Alhagi sparsifolia Species 0.000 claims description 30
- 238000012360 testing method Methods 0.000 claims description 16
- 241000196324 Embryophyta Species 0.000 claims description 10
- 238000004088 simulation Methods 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000010276 construction Methods 0.000 claims description 6
- 230000008878 coupling Effects 0.000 claims description 6
- 238000010168 coupling process Methods 0.000 claims description 6
- 238000005859 coupling reaction Methods 0.000 claims description 6
- 238000010521 absorption reaction Methods 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 5
- 150000002500 ions Chemical class 0.000 claims description 4
- 230000002535 lyotropic effect Effects 0.000 claims description 4
- 238000005065 mining Methods 0.000 claims description 4
- 238000012544 monitoring process Methods 0.000 claims description 4
- 230000008569 process Effects 0.000 claims description 4
- 230000005514 two-phase flow Effects 0.000 claims description 4
- 239000002028 Biomass Substances 0.000 claims description 3
- 238000005527 soil sampling Methods 0.000 claims description 3
- 238000011161 development Methods 0.000 abstract description 6
- 238000011160 research Methods 0.000 abstract description 4
- 230000002349 favourable effect Effects 0.000 abstract 1
- 235000008011 Alhagi graecorum Nutrition 0.000 description 4
- 241000214035 Alhagi maurorum Species 0.000 description 4
- 235000017398 Alhagi maurorum Nutrition 0.000 description 4
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 4
- 229910052782 aluminium Inorganic materials 0.000 description 4
- 239000004411 aluminium Substances 0.000 description 4
- 238000005070 sampling Methods 0.000 description 3
- 241000894007 species Species 0.000 description 3
- RZVAJINKPMORJF-UHFFFAOYSA-N Acetaminophen Chemical compound CC(=O)NC1=CC=C(O)C=C1 RZVAJINKPMORJF-UHFFFAOYSA-N 0.000 description 2
- 238000013459 approach Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 230000006866 deterioration Effects 0.000 description 2
- 230000008020 evaporation Effects 0.000 description 2
- 238000001704 evaporation Methods 0.000 description 2
- 239000003102 growth factor Substances 0.000 description 2
- 238000001556 precipitation Methods 0.000 description 2
- 230000001681 protective effect Effects 0.000 description 2
- 239000004576 sand Substances 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000007123 defense Effects 0.000 description 1
- 230000009189 diving Effects 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 238000001035 drying Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 238000012876 topography Methods 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
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Abstract
The application relates to a method for predicting the growth vigor of leaf-thinning camel spines in an extremely arid region, which comprises the steps of surveying a sample area, obtaining underground water flow field information, determining the weight and water content of soil, determining the salt content of the soil, shooting spectrograms of the sample area and the sample area by adopting an unmanned aerial vehicle remote sensing technology, analyzing the coverage rate of vegetation in the sample area through vegetation coverage data in the spectrograms, and simultaneously analyzing the vegetation type and distribution condition in the sample area; combining with ecological investigation, analyzing the change condition of the vegetation in the sample prescription; and (4) establishing a groundwater numerical model, and predicting vegetation growth by combining regional water use planning. The method plays a positive role in exploring the restoration and ecological function protection of the ecological fragile area under the extreme drought condition, provides a practical method for the reasonable development and ecological function protection research of the underground water of the extreme arid area, and provides favorable data support for the reasonable development and ecological function protection of the underground water of the extreme arid area.
Description
Technical field
This application involves a kind of methods for predicting Extremely arid area Alhagi sparsifolia growing way.
Background technique
Turpan Basin is located at area by east in the middle part of Xinjiang Uygur Autonomous Regions, far from ocean, topography north and south height, middle part
It is low, it is the closed basin of typical " three mountains press from both sides two basins ", belongs to continental warm temperate zone drought desert weather.It is characterized in that: the winter
Ji Hanleng, summer is extremely hot, and precipitation is rare, and evaporation is strong, and spring and autumn is of short duration and windy and dusty, and day and night temperature is big.Many years temperature on average 11
~17 DEG C, and it is minimum in January, it is -25.2 DEG C, July, highest, 48.0 DEG C, 40~47.5 DEG C of annual temperature range reachable；Southern basin is flat
Former area's annual precipitation is less than 10mm；Southern basin plain area year evaporation capacity reaches 1600-1800mm；Annual relative humidity is less than 33%；
Annual total sunshine time average out to 3056.4 hours.Under such extreme environmental conditions, carries out groundwater resources and distribute rationally
And the growth prediction of xerophytic vegetation just seems most important.
It is to ecologically fragile areas under the conditions of extreme drought based on the growing way prediction to existing Aydingkol basin Alhagi sparsifolia
Restore and what ecological functions were protected tries to explore.It is grown in the northern fringe of Turpan Basin, especially Turfan south basin Aydingkol
There are a large amount of Alhagi sparsifolias, high 30~60cm, distribution is west to Toksun County Guo Le Bouyei township, to the east of Shanshan County Di Kaner
Township, long 100km, south is northern to Aydingkol, and the widest part has 20km, the wild camel thorn of 177.6 ten thousand mu of this piece area be Xinjiang only
One single vegetation grassland.Alhagi sparsifolia is not only a kind of nectariferous plant, and seed can also be used as medicine, even more oasis wetland protection body
The important component of system, the ecological environment that its presence and growth are fragile to maintenance have the extremely important ecological value.
Alhagi sparsifolia is the advantage vegetation of arid biogeographic zone, for water and soil conservation, radix saposhnikoviae, fixes the sand and protects oasis ecology safe
It plays an important role, the whole nation or even the in the world camel thorn of maximum area is grown in Aydingkol basin, be that protection is local
The last line of defense of natural environment is to rely on existing for Turfan civilization and green, but for various reasons, spits Shandong at present
There is the phenomenon that unpredictable, area subsides, local growing way decays in the Alhagi sparsifolia in kind basin.
Therefore, the growing way prediction for carrying out Alhagi sparsifolia, can not only play its edible value and medical value, but also will be pole
Method is practiced in the reasonable development and the offer of ecological functions Protective strategy for holding groundwater in arid region.The technological achievement will be western for China
Ecological functions protection in special geomorphology area provides technological approaches, has important application value.Therefore, exploring and establish can be extreme
The underground water method of the prediction Alhagi sparsifolia growing way of arid area application seems most important, efficiently utilizes for underground water and raw
State function and protecting is offered reference.
There is the method analyzed using remotely-sensed data vegetation growing way in the prior art, but this method can only obtain length
The vegetation growing way situation of sequence, and it is unable to reach fine-resolution vegetation pattern.
Summary of the invention
The purpose of the application is to propose a kind of by vegetation investigation on the spot, normalized differential vegetation index, water and soil sample analysis number
According to analyzing vegetative coverage, Species Diversity in Plant and corresponding investigation sampling point underground water buried depth, mineralising using statistical analysis technique
The relationship of degree, soil salt, carries out different water salt condition vegetation coverages and species diversity analysis of trend, is Extreme Dry
Drought-hit area provides specific data, provides data supporting to be reached for reasonable development and the ecological functions protection of Extremely arid area underground water
A kind of prediction Extremely arid area Alhagi sparsifolia growing way method.
The purpose of the application is achieved in that a kind of method for predicting Extremely arid area Alhagi sparsifolia growing way, including
Following steps:
Step 1: belt transect sample investigation: belt transect is arranged according to vegetation growing way point band boundary line along direction of groundwater flow, and in land table；?
Sample prescription is chosen at interval in vegetation belt transect, carries out land table Ecological Investigation to the vegetation in sample prescription；
Step 2: obtaining ground water field information: groundwater level buried depth < 5m range in sample prescription, construction prospect pit is simultaneously embedded to
Pvc pipe carries out later period monitoring, using periphery motor-pumped well as water level observation well in the range of groundwater level buried depth > 5m, and presses
Level of ground water is observed according to the frequency of 1 time/month, level of ground water unified test is carried out in dry season and wet season, obtains underground water
Two phase flow fields；
Step 3: the determination of soil gravimetric water content rate: in sample prescription, vertical earth's surface fixed point, depthkeeping section are excavated, each is fixed
Point, depthkeeping position are as sample, until underground water exposure, in mining process, in sample timely collecting soil weight
Moisture content sample measures soil gravimetric water content rate；
Step 4: the determination of soil salt content: acquisition soil lyotropic salt sample, consistent with sample in step 3, scene is adopted
Soil sampling is packed, and interior weighs part soil sample, and the part soil sample is configured according to 5: 1 water and soil weight ratio, is utilized
Atomic absorption spectrophotometer carries out sample detection, and test item includes eight ions content, pH value etc..
Step 5: shooting spectrogram to belt transect, sample prescription using unmanned aerial vehicle remote sensing technology, pass through vegetative coverage number in spectrogram
According to the coverage rate of vegetation in analysis sample prescription, while vegetation pattern in sample prescription and distribution situation are analyzed；In conjunction with Ecological Investigation,
Analyze coupling relationship situation in sample prescription；
Step 6: establishing groundwater numerical simulation, planned in conjunction with area with water, predicts vegetation growing way.
In step 1,10m × 10m sample prescription is laid in vegetation agensis region in belt transect, in the region that vegetation is more dense
Lay 5m × 5m sample prescription.
In step 1, land table Ecological Investigation refers to, record vegetation pattern, structure of community, sociales and different growing stages
Vegetation growth status, biomass, record arbor, shrub plant type, strain number, height, hat width and growing way, herbaceous plant type,
Situations such as more degree, cover degree and height.
In step 3, all sampling point sets synthesize soil weight of the belt transect in different sample prescriptions, different buried depth point
Water cut test Value Data library.Excellent, the poor extreme value of vegetation growth is screened according to land table Ecological Investigation result, as Alhagi sparsifolia
The threshold value of the single number of the soil gravimetric water content rate of growth.
In step 4, all sampling point sets synthesize soil weight of the belt transect in different sample prescriptions, different buried depth point
Salt content test value database.Excellent, the poor extreme value of vegetation growth is screened according to land table Ecological Investigation result, as Alhagi sparsifolia
The threshold value of the single number of soil weight salt content of growth.
In step 5, in spectrogram, shade can be shown within the scope of sample prescription, which, which represents, vegetative coverage, obtains
The gross area=coverage rate in shaded area/sample prescription in sample prescription.
Alhagi sparsifolia is a kind of excellent plant of checking winds and fixing drifting sand in the application, and root system of plant is up to 20-30m depth, exactly
It has selected the region within depth to water 50m to analyze the growth factor of camel thorn according to this feature, base is respectively adopted
In the research area Groundwater salt and coupling relationship law-analysing of GIS, coupling analysis is carried out to its growth factor, determines thin leaf white horse with a black mane
Camel thorn predicts its growing way based on groundwater Numerical Simulation in the growing threshold of Extremely arid area.The application is based on underground water numerical value
Its growing way result of simulation and forecast is more accurate, has provided for the reasonable development of Extremely arid area underground water and ecological functions protection
The data of benefit are supported.
The application compared with prior art, is used in Extremely arid area along direction of groundwater flow direction for the first time, by water, salt,
The factors such as soil and vegetation growing way analyze the coupled relation between the regression of oasis wet land system and ecological function of groundwater deterioration, knot
Planning regimen condition is closed, predicts Alhagi sparsifolia growing way.The application restores to ecologically fragile areas under the conditions of extreme drought and ecology
Function and protecting plays the role of trying to explore, in Aydingkol basin and groundwater resources reasonable disposition and xerophytic vegetation ecological functions
It is organically combined in protection, provides practice side for the reasonable development and ecological functions Protective strategy of Extremely arid area underground water
Method provides technological approaches for the protection of China western part special geomorphology area ecological functions, has important application value.
Specific embodiment
The application is not limited by following embodiments, can be determined according to the technical solution of the application and actual conditions specific
Embodiment.
Embodiment 1: a method of prediction Extremely arid area Alhagi sparsifolia growing way, comprising the following steps:
Step 1: belt transect sample investigation: belt transect is arranged according to vegetation growing way point band boundary line along direction of groundwater flow, and in land table；?
Sample prescription is chosen at interval in vegetation belt transect, carries out land table Ecological Investigation to the vegetation in sample prescription；
Step 2: obtaining ground water field information: groundwater level buried depth < 5m range in sample prescription, construction prospect pit is simultaneously embedded to
Pvc pipe carries out later period monitoring, using periphery motor-pumped well as water level observation well in the range of groundwater level buried depth > 5m, and presses
Level of ground water is observed according to the frequency of 1 time/month, level of ground water unified test is carried out in dry season and wet season, obtains underground water
Two phase flow fields；
Step 3: the determination of soil gravimetric water content rate: in sample prescription, vertical earth's surface fixed point, depthkeeping section are excavated, each is fixed
Point, depthkeeping position are as sample, until underground water exposure, in mining process, in sample timely collecting soil weight
Moisture content sample measures soil gravimetric water content rate；
Step 4: the determination of soil salt content: acquisition soil lyotropic salt sample, consistent with sample in step 3, scene is adopted
Soil sampling is packed, and interior weighs part soil sample, and the part soil sample is configured according to 5: 1 water and soil weight ratio, is utilized
Atomic absorption spectrophotometer carries out sample detection, and test item includes eight ions content, pH value etc..
Step 5: shooting spectrogram to belt transect, sample prescription using unmanned aerial vehicle remote sensing technology, pass through vegetative coverage number in spectrogram
According to the coverage rate of vegetation in analysis sample prescription, while vegetation pattern in sample prescription and distribution situation are analyzed；In conjunction with Ecological Investigation,
Analyze coupling relationship situation in sample prescription；
Step 6: establishing groundwater numerical simulation, planned in conjunction with area with water, predicts vegetation growing way.
In step 1,10m × 10m sample prescription is laid in vegetation agensis region in belt transect, in the region that vegetation is more dense
Lay 5m × 5m sample prescription.
In step 1, land table Ecological Investigation refers to, record vegetation pattern, structure of community, sociales and different growing stages
Vegetation growth status, biomass, record arbor, shrub plant type, strain number, height, hat width and growing way, herbaceous plant type,
Situations such as more degree, cover degree and height.
Step 3: sample ultimately forms " thirty " shape cross-sectional configuration figure in four.
In step 3, original-pack pedotheque is taken using cutting ring and fills aluminium box, carry out pedotheque using electronic balance at once
The weight in wet base of (box containing aluminium) measures, and is repeated 3 times, is averaged, is indicated with M1；Pedotheque (box containing aluminium) is placed in 105 DEG C by interior
Lower drying to constant weight, is repeated 3 times the dry weight of measurement pedotheque (box containing aluminium), is averaged, is indicated with M2；The weight of soil contains
Water rate is indicated with θ g, then can be calculated the soil gravimetric water content rate of all sampled points using formula θ g=(M1-M2)/M2.
All samples assemble soil gravimetric water content rate of the belt transect in different sample prescriptions, different buried depth point and survey
Try Value Data library.Excellent, the poor extreme value of vegetation growth is screened according to land table Ecological Investigation result, the soil as Alhagi sparsifolia growth
The threshold value of the single number of earth weight moisture capacity.
In step 4, scene takes 500g pedotheque to be packed, indoor title pedotheque weight 80g, according to 5: 1 water and soil
Weight ratio configuration carries out sample detection using atomic absorption spectrophotometer (WFX-110), and test item includes eight- ions
Content, pH value etc..All samples assemble soil weight saliferous of the belt transect in different sample prescriptions, different buried depth point
Measure examination Value Data library.Excellent, the poor extreme value of vegetation growth is screened according to land table Ecological Investigation result, is grown as Alhagi sparsifolia
The single number of soil weight salt content threshold value.
In step 5, in spectrogram, shade can be shown within the scope of sample prescription, which, which represents, vegetative coverage, obtains
The gross area=coverage rate in shaded area/sample prescription in sample prescription.
Embodiment 2: a method of prediction Extremely arid area Alhagi sparsifolia growing way, comprising the following steps:
Step 1: belt transect sample investigation: belt transect is arranged according to vegetation growing way point band boundary line along direction of groundwater flow, and in land table；?
Sample prescription is chosen at interval in vegetation belt transect, carries out land table Ecological Investigation to the vegetation in sample prescription；Type acquires in the table Ecological Investigation of land
It is to distinguish vegetation cover degree situation corresponding to different vegetation.
Step 2: obtaining ground water field information: groundwater level buried depth < 5m range in sample prescription, construction prospect pit is simultaneously
It is embedded to pvc pipe and carries out later period monitoring, using periphery motor-pumped well as water level observation well in the range of groundwater level buried depth > 5m,
And level of ground water is observed according to the frequency of 1 time/month, level of ground water unified test is carried out in dry season and wet season, obtains ground
It is lauched two phase flow fields；Disclose the dynamic rule of research area's range level of ground water.
Step 3: the determination of soil gravimetric water content rate: in sample prescription, vertical earth's surface fixed point, depthkeeping section are excavated, each
Fixed point, depthkeeping position are as sample, until underground water exposure, in mining process, in sample timely collecting soil weight
Moisture content sample is measured, soil gravimetric water content rate is measured；
Carry out shallow well construction at each sample prescription center, depthkeeping takes soil sample to do weight moisture capacity test, by 0m, 0.25m,
0.50m, 0.75m, 1m, 2m, 3m, 4m, 5m continuous acquisition soil sample, and be adjusted according to diving technique difference, guarantee sampled point
More than the water surface.The step discloses under Aydingkol basin vegetation growing way point different pattern soil gravimetric water content rate in land table and hangs down
To the changing rule of depth.
Step 4: the determination of soil salt content: acquisition soil lyotropic salt sample, it is consistent with sample in step 3, it is existing
Field takes soil sample to be packed, and interior weighs part soil sample, and the part soil sample is configured according to 5: 1 water and soil weight ratio,
Sample detection is carried out using atomic absorption spectrophotometer, test item includes eight ions content, pH value etc.；The step discloses
Soil salt content is taken root the variation in direction along groundwater flow direction and species under the different pattern of Aydingkol basin vegetation growing way point
Rule.
Step 5: shooting spectrogram to belt transect, sample prescription using unmanned aerial vehicle remote sensing technology, pass through vegetative coverage number in spectrogram
According to the coverage rate of vegetation in analysis sample prescription, while vegetation pattern in sample prescription and distribution situation are analyzed；In conjunction with Ecological Investigation,
Analyze coupling relationship situation in sample prescription；It is investigated using unmanned aerial vehicle remote sensing technology shooting spectrogram, data point by inquiry
The coverage rate of vegetation is analysed, while the distribution situation of vegetation is analyzed.The step intuitively shows the growing way of vegetation, cover degree
And vegetation transient condition, the growing way situation of vegetation is disclosed jointly with belt transect investigation.
Step 6: establishing groundwater numerical simulation, planned in conjunction with area with water, predicts vegetation growing way.
Groundwater numerical simulation y=4.14-0.326x1+0.646x2-0.09x3
In formula: all vegetation strain number (a/m in y- unit area2)
x1Groundwater level depth (m)
x2Soil gravimetric water content rate (%)
x3Soil salt content (g/kg).
According to y value obtained by above formula, all vegetation strain numbers in unit area can be intuitively obtained, and then bury according to level of ground water
The increase and decrease of depth, soil gravimetric water content rate, soil salt content, the increase and decrease of all vegetation strain numbers in intutive forecasting unit area.
On the basis of the application passes through data collection, remote Sensing Interpretation, ground investigation and water and soil sample test, it is based on vegetation number
Amount is ecological, restores ecological, landscape ecology theory, and using remote sensing, geography information, Geostatistical as technical support, research is not
With the different pattern of water and soil condition point, different water salt conditions and vegetation relationship, the wet land system regression of quantitative assessment Aydingkol basin oasis
With the coupled relation between ecological function of groundwater deterioration, the origin cause of formation of Aydingkol basin oasis wet land system regression is disclosed, and pre-
Survey future developing trend.
Above description is only intended to clearly illustrate the application example, and is not to presently filed embodiment
Restriction.Guarantor of all technical solution changes and variations that derived from for belonging to the application still in the application
Protect the column of range.
Claims (10)
1. a kind of method for predicting Extremely arid area Alhagi sparsifolia growing way, comprising the following steps:
Step 1: belt transect sample investigation: belt transect is arranged according to vegetation growing way point band boundary line along direction of groundwater flow, and in land table；?
Sample prescription is chosen at interval in vegetation belt transect, carries out land table Ecological Investigation to the vegetation in sample prescription；
Step 2: obtaining ground water field information: groundwater level buried depth < 5m range in sample prescription, construction prospect pit is simultaneously embedded to
Pvc pipe carries out later period monitoring, using periphery motor-pumped well as water level observation well in the range of groundwater level buried depth > 5m, and presses
Level of ground water is observed according to the frequency of 1 time/month, level of ground water unified test is carried out in dry season and wet season, obtains underground water
Two phase flow fields；
Step 3: the determination of soil gravimetric water content rate: in sample prescription, vertical earth's surface fixed point, depthkeeping section are excavated, each is fixed
Point, depthkeeping position are as sample, until underground water exposure, in mining process, in sample timely collecting soil weight
Moisture content sample measures soil gravimetric water content rate；
Step 4: the determination of soil salt content: acquisition soil lyotropic salt sample, consistent with sample in step 3, scene is adopted
Soil sampling is packed, and interior weighs part soil sample, and the part soil sample is configured according to 5: 1 water and soil weight ratio, is utilized
Atomic absorption spectrophotometer carries out sample detection, and test item includes eight ions content, pH value etc..
2. passing through vegetative coverage data in spectrogram Step 5: shooting spectrogram to belt transect, sample prescription using unmanned aerial vehicle remote sensing technology
The coverage rate of vegetation in sample prescription is analyzed, while vegetation pattern in sample prescription and distribution situation are analyzed；In conjunction with Ecological Investigation, divide
Analyse coupling relationship situation in sample prescription；
Step 6: establishing groundwater numerical simulation, planned in conjunction with area with water, predicts vegetation growing way.
3. a kind of method for predicting Extremely arid area Alhagi sparsifolia growing way as described in claim 1, it is characterised in that: step
In one, 10m × 10m sample prescription is laid in vegetation agensis region in belt transect, lays 5m × 5m sample in the more dense region of vegetation
Side.
4. a kind of method for predicting Extremely arid area Alhagi sparsifolia growing way as claimed in claim 1 or 2, it is characterised in that:
In step 1, land table Ecological Investigation refers to, record vegetation pattern, structure of community, sociales and different growing stages vegetation growth
Situation, biomass；Record arbor, shrub plant type, strain number, height, hat width and growing way；Record herbaceous plant type, mostly degree,
Cover degree and altitudes.
5. a kind of method for predicting Extremely arid area Alhagi sparsifolia growing way as claimed in claim 3, it is characterised in that: step
Three, in four, sample ultimately forms " thirty " shape cross-sectional configuration figure.
6. a kind of method for predicting Extremely arid area Alhagi sparsifolia growing way as claimed in claim 4, it is characterised in that: step
In three, carry out shallow well construction at each sample prescription center, depthkeeping takes soil sample to do weight moisture capacity test, by 0m, 0.25m,
0.50m, 0.75m, 1m, 2m, 3m, 4m, 5m continuous acquisition soil sample.
7. a kind of method for predicting Extremely arid area Alhagi sparsifolia growing way as described in claim 1, it is characterised in that: step
In three, all samples assemble soil gravimetric water content rate test of the belt transect in different sample prescriptions, different buried depth point
Value Data library；Excellent, the poor extreme value of vegetation growth is screened according to land table Ecological Investigation result, the soil as Alhagi sparsifolia growth
The threshold value of the single number of weight moisture capacity.
8. a kind of method for predicting Extremely arid area Alhagi sparsifolia growing way as described in claim 1, it is characterised in that: step
In four, all samples assemble soil weight salt content test of the belt transect in different sample prescriptions, different buried depth point
Value Data library；Excellent, the poor extreme value of vegetation growth is screened according to land table Ecological Investigation result, the soil as Alhagi sparsifolia growth
The threshold value of the single number of weight salt content.
9. a kind of method for predicting Extremely arid area Alhagi sparsifolia growing way as described in claim 1, it is characterised in that: step
In five, in spectrogram, shade can be shown within the scope of sample prescription, which, which represents, vegetative coverage, obtains shadow surface in sample prescription
The gross area=coverage rate in product/sample prescription.
10. a kind of method for predicting Extremely arid area Alhagi sparsifolia growing way as described in claim 1, it is characterised in that: step
In rapid six, groundwater numerical simulation y=4.14-0.326x1+0.646x2-0.09x3。
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| CN201910470545.1A CN110322047A (en) | 2019-05-31 | 2019-05-31 | Method for predicting spininess of camel sparsifolia in extremely arid region |
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