CN-121981395-A - Method for evaluating ecological niche stability of wild tea tree

CN121981395ACN 121981395 ACN121981395 ACN 121981395ACN-121981395-A

Abstract

The invention relates to the technical field of ecological environment monitoring and evaluation, and discloses a method for evaluating the ecological niche stability of wild tea trees, which comprises the following steps of obtaining multiscale monitoring data in a wild tea tree distribution area and constructing a multiscale monitoring unit; forming a soil physical and chemical index vector, forming a vegetation structure time sequence data vector, forming a microorganism functional gene vector, applying preset disturbance in the multi-scale monitoring unit, acquiring system state data before and after the disturbance to construct a system state recovery track, calculating an ecological niche stability parameter based on the system state recovery track, constructing an ecological niche stability index based on the ecological niche stability parameter, and outputting a wild tea tree ecological niche stability assessment result. The state change process of the ecological system under the external disturbance effect can be reflected by the evaluation result, so that the periodic deviation caused by the static index is avoided, and the procedural representation of the stable state of the ecological niche is realized.

Inventors

HU JUNMING
WU ZEHUA
ZHENG FUHAI
CAO SHENGXIAN
ZHANG JUNHUI
LI TINGTING
WU QIANTAO
LI YUXIANG
Liu Meikun
TAN JIANJIAN

Assignees

广西壮族自治区农业科学院

Dates

Publication Date: 20260505
Application Date: 20260126

Claims (10)

1. The method for evaluating the ecological niche stability of the wild tea trees is characterized by comprising the following steps of: Acquiring multi-scale monitoring data in a wild tea tree distribution area, and constructing a multi-scale monitoring unit; acquiring soil physical and chemical data in the multi-scale monitoring unit to form a soil physical and chemical index vector; acquiring vegetation structure time sequence data corresponding to the multi-scale monitoring units to form vegetation structure time sequence data vectors; Acquiring a microbial functional gene spectrum of rhizosphere soil in the multi-scale monitoring unit to form a microbial functional gene vector; Applying preset disturbance in the multi-scale monitoring unit, and acquiring system state data before and after the disturbance to construct a system state recovery track; calculating ecological niche stability parameters based on the system state recovery track; and constructing an ecological niche stability index based on the ecological niche stability parameter, and outputting a wild tea tree ecological niche stability assessment result.
2. A method for assessing the stability of a wild tea tree niche as claimed in claim 1 wherein said constructing a multiscale monitoring unit comprises: dividing a first-level sample plot in a wild tea tree distribution area for representing a community scale ecological state; Dividing a secondary subsampled plot in the primary sample plot for representing local space ecological differences; A monitoring unit is constructed by taking a single wild tea tree as a center and used for representing the rhizosphere ecological state of the single wild tea tree, And a unique number is set for each monitoring unit.
3. A method of assessing the stability of a wild tea tree niche as claimed in claim 1 wherein said obtaining soil physicochemical data and forming a soil physicochemical index vector comprises: collecting a rhizosphere soil sample in the monitoring unit; measuring the soil pH value, organic matter content, alkaline hydrolysis nitrogen content, available phosphorus content, quick-acting potassium content and soil volume weight of the rhizosphere soil sample; and constructing a soil physical and chemical index vector for representing the soil environment state based on the determination result.
4. The method of claim 2, wherein the acquiring vegetation structure time series data and forming a vegetation structure time series data vector comprises: acquiring canopy coverage, leaf area indexes and vegetation spectrum comprehensive indexes at different moments in the primary sample plot or the secondary sub-sample plot; And constructing a vegetation structure time sequence data vector based on the vegetation structure data at different moments.
5. A method of assessing the stability of a wild tea tree niche as claimed in claim 1 wherein said obtaining a spectrum of functional genes of a microorganism and forming a vector of functional genes of a microorganism comprises: collecting a rhizosphere soil sample in the monitoring unit; Extracting microorganism total DNA and performing high-throughput sequencing on the rhizosphere soil sample; Performing functional annotation on the sequencing result, and screening functional genes related to ecological functions; and constructing a microbial functional gene vector based on the standardized abundance of the functional gene.
6. The method for evaluating the ecological niche stability of wild tea trees according to claim 1, wherein a functional co-occurrence network is constructed based on the functional gene vector of the microorganism, And calculates a functional redundancy parameter based on the functional co-occurrence network, The functional redundancy parameter is used for representing the redundancy degree of the same ecological function in the monitoring unit.
7. The method for evaluating the ecological niche stability of wild tea trees according to claim 1, wherein the steps of applying preset disturbance and constructing a system state recovery track comprise: applying a controlled disturbance within the monitoring unit; acquiring system state data before disturbance occurs; Continuously acquiring system state data after disturbance occurs; A system state recovery trajectory is constructed based on the system state data before and after the disturbance, Wherein the system state data comprises a soil physicochemical state, a vegetation structural state and a microorganism functional gene state.
8. The method for evaluating the ecological niche stability of wild tea trees according to claim 1, wherein calculating the ecological niche stability parameters based on the system state restoration track comprises: Calculating a resistance parameter based on the change of the system state before and after disturbance; The recovery rate parameter is calculated based on a recovery process of the system state over time.
9. The method for evaluating the ecological niche stability of wild tea trees according to claim 1, wherein the ecological niche stability index is constructed by a resistance parameter, a recovery rate parameter, a functional redundancy parameter and a functional co-occurrence network stability parameter, And weighting calculation is carried out on each parameter through preset weights.
10. The method for evaluating the ecological niche stability of the wild tea trees according to claim 1, wherein the ecological niche stability evaluation result of the wild tea trees at least comprises an ecological niche stability index corresponding to the monitoring unit and composition parameter information thereof.

Description

Method for evaluating ecological niche stability of wild tea tree Technical Field The invention relates to the technical field of ecological environment monitoring and evaluation, in particular to a method for evaluating the ecological niche stability of a wild tea tree. Background The growth state and ecological function of the wild tea tree serving as an important wild plant resource are commonly influenced by various factors such as the site environment, soil conditions, vegetation structures, microbial activities and the like. In the prior art, the ecological condition of the wild tea tree is usually evaluated by adopting the modes of soil physical and chemical index detection, vegetation investigation or growth potential observation and the like, and the quality or health state of the wild tea tree is judged by analyzing single or periodic sampling data. The technical proposal is based on data acquired at a certain time point or carries out comprehensive evaluation based on monitoring results of limited times, and the related evaluation results are generally used for describing the ecological state of the wild tea tree at the current moment. However, the above prior art mainly focuses on static description of ecological state, and the evaluation process is usually based on observation data at single or discrete time points, so that it is difficult to reflect the state change process of the wild tea tree ecological system under the effect of external disturbance. When the environmental conditions change, the assessment method cannot describe the evolution track of the ecological system from disturbance to state recovery, and cannot distinguish the state change difference of different ecological systems when the same disturbance is faced, so that the stable state of the wild tea tree ecological niche is difficult to describe in a procedural way. This way of evaluation based on static data has limitations in reflecting dynamic characteristics of the ecosystem. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a method for evaluating the ecological niche stability of a wild tea tree, which solves the problem that the state change process of the ecological system of the wild tea tree under the external disturbance is difficult to reflect in the prior art. The invention aims to realize the purpose by adopting the following technical scheme that the method for evaluating the ecological niche stability of the wild tea tree comprises the following steps: Acquiring multi-scale monitoring data in a wild tea tree distribution area, and constructing a multi-scale monitoring unit; acquiring soil physical and chemical data in the multi-scale monitoring unit to form a soil physical and chemical index vector; acquiring vegetation structure time sequence data corresponding to the multi-scale monitoring units to form vegetation structure time sequence data vectors; Acquiring a microbial functional gene spectrum of rhizosphere soil in the multi-scale monitoring unit to form a microbial functional gene vector; Applying preset disturbance in the multi-scale monitoring unit, and acquiring system state data before and after the disturbance to construct a system state recovery track; calculating ecological niche stability parameters based on the system state recovery track; and constructing an ecological niche stability index based on the ecological niche stability parameter, and outputting a wild tea tree ecological niche stability assessment result. Preferably, the constructing a multi-scale monitoring unit comprises: dividing a first-level sample plot in a wild tea tree distribution area for representing a community scale ecological state; Dividing a secondary subsampled plot in the primary sample plot for representing local space ecological differences; A monitoring unit is constructed by taking a single wild tea tree as a center and used for representing the rhizosphere ecological state of the single wild tea tree, And a unique number is set for each monitoring unit. Preferably, the acquiring the soil physicochemical data and forming the soil physicochemical index vector includes: collecting a rhizosphere soil sample in the monitoring unit; measuring the soil pH value, organic matter content, alkaline hydrolysis nitrogen content, available phosphorus content, quick-acting potassium content and soil volume weight of the rhizosphere soil sample; and constructing a soil physical and chemical index vector for representing the soil environment state based on the determination result. Preferably, the acquiring vegetation structure time series data and forming a vegetation structure time series data vector includes: acquiring canopy coverage, leaf area indexes and vegetation spectrum comprehensive indexes at different moments in the primary sample plot or the secondary sub-sample plot; And constructing a vegetation structure time sequence data vector based on the vegetation structure data at