CN-122022493-A - High-altitude rural plant stress resistance analysis method and system

CN122022493ACN 122022493 ACN122022493 ACN 122022493ACN-122022493-A

Abstract

The invention discloses a method and a system for analyzing stress resistance of high-altitude rural plants, and relates to the technical field of plant stress resistance analysis. Aiming at the problems that multiple stress resistance of plants is difficult to comprehensively evaluate and ecological risks are ignored in the prior art, the method comprises the steps of performing high-altitude stress simulation through an artificial climate incubator, measuring physiological indexes, constructing a database, adopting a principal component analysis method to reduce the dimension of the multidimensional indexes, weighting and summing the multidimensional indexes to obtain stress resistance comprehensive scores, dividing stress resistance grades through a systematic clustering method, predicting the current and future suitable areas of the plants based on a species distribution model, generating functional utilization value indexes, dividing invasion risk grades according to the expansion trend of the suitable areas and overlapping ecological niches, constructing a multi-level comprehensive evaluation model, calculating comprehensive stress resistance scores, and screening ecological safety type rural plants suitable for high-altitude planting. The method improves the comprehensiveness and accuracy of stress resistance analysis, and improves the ecological safety and long-term adaptability of plant screening.

Inventors

LIU YUAN
WANG ZHIMING
LI AIJING
YAO HAIBO
DENG JINGCHENG
YAO BING
ZHENG MIN
XU GANG
GE LIYAN
JIN HUIHU
XIONG HONGXIA

Assignees

交通运输部天津水运工程科学研究所

Dates

Publication Date: 20260512
Application Date: 20260408

Claims (9)

1. The method for analyzing the stress resistance of the high-altitude rural plants is characterized by comprising the following steps of: S1, simulating high-altitude extreme environmental stress of a plurality of alternative rural plant seedlings by using a phytotron; S2, determining physiological indexes of each rural plant seedling by using physiological monitoring equipment, and constructing a plant stress resistance physiological database based on the physiological indexes; S3, carrying out standardized treatment on the physiological index data of each rural plant seedling, adopting a principal component analysis method to reduce the dimension of the standardized data, and extracting principal components with characteristic values larger than 1 and accumulated variance contribution rate larger than a preset contribution rate threshold; S4, calculating the score of each plant on the main component, and taking the variance contribution rate of each main component as a weight, and carrying out weighted summation to obtain the stress resistance comprehensive score of each plant; S5, dividing the plants into different stress resistance grades by adopting a systematic clustering method based on the stress resistance comprehensive score of each plant; s6, predicting the potential suitable area range of each plant under the current and future climate conditions based on the geographic distribution data and the environment variable layer of each plant, and predicting the function utilization value index of each plant according to the potential suitable area range; s7, grading potential invasion risks of each plant according to the expansion trend and the ecological niche overlapping condition of the potential suitable area range; And S8, constructing a multi-level comprehensive evaluation model, taking the stress resistance level, the functional utilization value index and the potential invasion risk level as evaluation indexes, determining the weight of each index through a hierarchical analysis method, calculating the comprehensive stress resistance score of each plant, and determining the ecological safety type of the rural plants suitable for high-altitude planting according to the comprehensive stress resistance score.
2. The method for analyzing stress resistance of high-altitude rural plants according to claim 1, wherein the simulation of high-altitude extreme environmental stress is performed on a plurality of alternative rural plant seedlings by using a phytotron, and the method comprises the following steps: S11, setting temperature, illumination, oxygen partial pressure and humidity parameters of an artificial climate incubator to simulate the day-night temperature difference, strong ultraviolet radiation and oxygen content conditions of a high-altitude environment; s12, placing a plurality of alternative seedlings of the native plants in the artificial climate incubator, and culturing for a preset period of time under a set stress condition; S13, in the culture process, monitoring and recording environmental parameters in the incubator in real time, and ensuring the stability of stress conditions.
3. The method for analyzing stress resistance of high altitude rural plants according to claim 1, wherein the step of normalizing the physiological index data of each rural plant seedling, and reducing the dimension of the normalized data by using a principal component analysis method, extracting principal components with a characteristic value greater than 1 and a cumulative variance contribution rate greater than a preset contribution rate threshold, comprises: s31, performing Z-score standardization treatment on the physiological index data of each rural plant seedling to ensure that the average value and standard deviation of each physiological index data are 0 and 1; s32, calculating a correlation coefficient matrix of the physiological index data after the standardization processing, and solving a characteristic value and a corresponding characteristic vector of the correlation coefficient matrix; s33, sorting the characteristic values from large to small, and calculating the variance contribution rate and the accumulated variance contribution rate of each main component; s34, selecting a plurality of main components with characteristic values larger than 1 and accumulated variance contribution rate larger than a preset contribution rate threshold as main components after dimension reduction.
4. The method for analyzing stress resistance of high altitude rural plants according to claim 1, wherein the calculating the score of each plant on the principal component and the weighted summation with the variance contribution ratio of each principal component as a weight, the method comprises: S41, calculating the score of each plant on each principal component based on the feature vector corresponding to the extracted principal component to obtain a principal component score matrix; S42, taking the variance contribution rate of each main component as a weight coefficient, and carrying out weighted summation on the scores of each plant on each main component to generate a stress resistance comprehensive score of each plant, wherein the stress resistance comprehensive score is used for representing the overall stress resistance performance of the plant under the extreme environmental stress of high altitude.
5. The method for analyzing stress resistance of high altitude rural plants according to claim 1, wherein predicting the range of potential suitable areas of each plant in current and future climatic situations based on the geographical distribution data and the environmental variable layer of each plant, and predicting the function utilization value index of each plant according to the range of potential suitable areas comprises: s61, collecting geographical distribution point data of each rural plant, and screening and removing redundancy of the geographical distribution point data to ensure the representativeness and the spatial independence of distribution points; s62, acquiring a plurality of environment variable layers in the current climate situation and a plurality of environment variable layers in the future climate situation, wherein the environment variables comprise temperature, precipitation, topography and soil environment conditions; s63, a species distribution model is adopted, current environment variable layer and geographic distribution point data are used as input, the model is trained and optimized, and the prediction accuracy of the species distribution model is estimated by adopting an area value under a subject working characteristic curve; S64, predicting potential suitable area distribution patterns of each native plant under the current climate situation and potential suitable area distribution patterns under the future climate situation by utilizing the trained species distribution model and combining the current and future environment variable layers respectively; S65, calculating the change rate of the range of the suitable zone and the migration direction and distance of the mass center according to the range of the potential suitable zone of each plant in the current and future climate situations, and generating the function utilization value index of each plant based on the change rate of the range of the suitable zone and the migration direction and distance of the mass center, wherein the function utilization value index comprises ecological restoration value, ornamental value and economic utilization value.
6. The method for analyzing stress resistance of high altitude rural plants according to claim 5, wherein the generating the function utilization value index of each plant based on the change rate of the adaptive area range, the migration direction of the centroid, and the distance comprises: s651, constructing a function utilization value evaluation system, wherein the evaluation system comprises three evaluation dimensions of ecological restoration value, ornamental value and economic utilization value; S652, generating an ecological restoration value score based on the potential suitable area range of each plant, the change rate of the suitable area range and the plant root system characteristics, wherein the ecological restoration value score is higher for the plant with the larger area of the potential suitable area range, the lower change rate of the suitable area range and the developed root system; S653, obtaining morphological characteristic images of plants through image acquisition equipment, extracting the characteristics of the flower colors, flower patterns, leaf colors and plant types of each plant, comparing the extracted characteristics with a preset ornamental plant standard database, and calculating ornamental value scores through a similarity matching algorithm; S654, inquiring a preset plant economic utilization database, obtaining economic use categories of each plant and generating economic utilization value scores based on the economic use categories, wherein the economic use categories comprise medicinal use, edible use, spice use, fiber use or industrial raw material use; S655, carrying out standardized processing on the ecological restoration value score, the ornamental value score and the economic utilization value score to generate functional utilization value indexes of each plant.
7. The method for analyzing stress resistance of high altitude rural plants according to claim 1, wherein the grading of potential invasion risk of each plant according to the expansion trend and the ecological niche overlap of the potential suitable area range comprises: S71, calculating a suitable area expansion index of each plant based on the potential suitable area distribution diagram of each plant under the current climate situation and the potential suitable area distribution diagram of each plant under the future climate situation, wherein the suitable area expansion index comprises the suitable area change rate, the suitable area boundary expansion rate and the ratio of a new suitable area to the future suitable area; s72, acquiring distribution data of the local dominant plants in the target area, and predicting potential adaptive area distribution of the local dominant plants or ecological key seeds by adopting a species distribution model; S73, calculating an ecological niche overlap index of each rural plant and a local dominant plant by adopting an ecological niche overlap measurement algorithm, wherein the ecological niche overlap index is used for representing the similarity degree of the two plants in an environmental space; s74, constructing an invasion risk evaluation matrix according to the expansion index of the suitable area and the ecological niche overlapping index, dividing the expansion index of the suitable area into three grades of strong expansibility, medium expansibility and weak expansibility, and dividing the ecological niche overlapping index into three grades of high expansibility, medium expansibility and low expansibility; s75, determining potential invasion risk levels of each plant according to the level combination of the plants in the invasion risk evaluation matrix based on a preset invasion risk judging rule.
8. The method for analyzing stress resistance of high-altitude rural plants according to claim 7, wherein the potential intrusion risk levels comprise three levels of high risk, medium risk and low risk.
9. A high altitude homeland plant stress resistance analysis system for implementing the high altitude homeland plant stress resistance analysis method according to any one of claims 1 to 8, said system comprising: the environment stress simulation module is used for simulating high-altitude extreme environment stress on a plurality of alternative rural plant seedlings through the artificial climate incubator; the physiological monitoring module is connected with the environmental stress simulation module and is used for measuring physiological indexes of each rural plant seedling through physiological monitoring equipment and constructing a plant stress resistance physiological database based on the physiological indexes; The main component dimension reduction module is connected with the physiological monitoring module and is used for carrying out standardized treatment on the physiological index data of each rural plant seedling, reducing dimension on the standardized data by adopting a main component analysis method, and extracting a main component with a characteristic value larger than 1 and an accumulated variance contribution rate larger than a preset contribution rate threshold; The stress resistance score calculation module is connected with the main component dimension reduction module and is used for calculating the score of each plant on the main component, and weighting and summing the scores by taking the variance contribution rate of each main component as the weight to obtain the stress resistance comprehensive score of each plant; The clustering and grading module is connected with the stress resistance score calculating module and is used for dividing the plants into different stress resistance grades by adopting a systematic clustering method based on the stress resistance comprehensive score of each plant; The adaptive prediction module is connected with the clustering classification module and is used for predicting the range of a potential adaptive area of each plant under the current and future climate conditions based on the geographic distribution data and the environment variable layer of each plant and predicting the function utilization value index of each plant according to the range of the potential adaptive area; the invasion risk classification module is connected with the adaptive prediction module and is used for classifying potential invasion risks of each plant according to the expansion trend and the ecological niche overlapping condition of the potential adaptive area range; The comprehensive evaluation module is connected with the intrusion risk classification module and is used for constructing a multi-level comprehensive evaluation model, taking the stress resistance level, the function utilization value index and the potential intrusion risk level as evaluation indexes, determining the weight of each index through a hierarchical analysis method, calculating the comprehensive stress resistance score of each plant, and determining the ecological safety type of the rural plants suitable for high-altitude planting according to the comprehensive stress resistance score.

Description

High-altitude rural plant stress resistance analysis method and system Technical Field The invention relates to the technical field of plant stress resistance analysis, in particular to a method and a system for analyzing stress resistance of high-altitude rural plants. Background The high altitude area has the extreme environmental characteristics of low oxygen, strong ultraviolet radiation, large day and night temperature difference, soil impoverishment and the like, and the ecological system has weak self-repairing capability and is difficult to naturally recover once damaged. The rural plants are suitable for local environment for a long time, have extremely high ecological adaptability, and are ideal materials for high-altitude ecological restoration. However, the conventional plant screening method relies on field investigation and experience judgment, and it is difficult to comprehensively and quantitatively evaluate stress resistance of plants in extreme environments. In recent years, with the development of environmental simulation technology, physiological monitoring means and data analysis methods, the screening of stress-resistant plants by manually simulating extreme environments and combining multi-index comprehensive evaluation has become an important research direction in the field of ecological restoration, and has a wide application prospect. The existing stress resistance analysis method for the high-altitude rural plants mainly has the defects that the comprehensive stress resistance of the plants under multiple extreme environmental stresses is difficult to comprehensively reflect based on the measurement of single environmental factors or single physiological indexes, the physiological indexes are analyzed by adopting simple comparison or statistical test, effective treatment on information overlapping among multiple indexes is lacking, the stress resistance performance level of the plants is difficult to objectively quantify, only the stress resistance of the plants is often concerned in the screening process, the ecological safety risk of the plants after the plants are introduced is neglected, and particularly the biological invasion risk caused by expansion of a potential suitable area is lack of effective assessment. Therefore, a need exists for a high-altitude rural plant stress resistance analysis method and system with higher accuracy and safety Disclosure of Invention Therefore, the invention provides a method and a system for analyzing stress resistance of a high-altitude rural plant, which are used for solving the problems that in the prior art, comprehensive stress resistance of the plant under multiple extreme environmental stresses is difficult to comprehensively reflect, effective treatment on information overlapping among multiple indexes is lacking, the stress resistance performance level of the plant is difficult to objectively quantify, ecological safety risks of the plant after introduction are ignored, and particularly, effective evaluation on biological invasion risks caused by expansion of a potential adaptation area is lacking. In order to achieve the above object, the present invention provides a method for analyzing stress resistance of high altitude rural plants, comprising: S1, simulating high-altitude extreme environmental stress of a plurality of alternative rural plant seedlings by using a phytotron; S2, determining physiological indexes of each rural plant seedling by using physiological monitoring equipment, and constructing a plant stress resistance physiological database based on the physiological indexes; S3, carrying out standardized treatment on the physiological index data of each rural plant seedling, adopting a principal component analysis method to reduce the dimension of the standardized data, and extracting principal components with characteristic values larger than 1 and accumulated variance contribution rate larger than a preset contribution rate threshold; S4, calculating the score of each plant on the main component, and taking the variance contribution rate of each main component as a weight, and carrying out weighted summation to obtain the stress resistance comprehensive score of each plant; S5, dividing the plants into different stress resistance grades by adopting a systematic clustering method based on the stress resistance comprehensive score of each plant; s6, predicting the potential suitable area range of each plant under the current and future climate conditions based on the geographic distribution data and the environment variable layer of each plant, and predicting the function utilization value index of each plant according to the potential suitable area range; s7, grading potential invasion risks of each plant according to the expansion trend and the ecological niche overlapping condition of the potential suitable area range; And S8, constructing a multi-level comprehensive evaluation model, taking the stress resistance lev