CN-122020611-A - Vegetation configuration mode determining method and device

CN122020611ACN 122020611 ACN122020611 ACN 122020611ACN-122020611-A

Abstract

The disclosure relates to the technical field of regional soil and water conservation and environmental treatment, and relates to a method and a device for determining vegetation configuration modes. The method comprises the steps of dividing an area to be repaired into a plurality of micro-site types, obtaining vegetation investigation information of each micro-site type, calculating importance values of plant species of different types based on the vegetation investigation information, representing importance degrees of the plant species in communities, determining primary plant species based on the importance values, calculating the ecological niche width and the ecological niche overlap value of each primary plant species according to the importance values of the primary plant species, constructing a multiple linear regression model by taking micro-site factors and vegetation factors as independent variables and taking a water and soil conservation function index as dependent variables through a stepwise regression method, evaluating water and soil conservation functions and community stability of different plant combinations based on the multiple linear regression model, and determining target plant combinations according to evaluation results to form a vegetation configuration scheme.

Inventors

CAO YONGXIANG
Ning Chendong
JIA GUODONG
Dang nan
WANG YUSHI
YUE FAN
Zuo Kunjiao

Assignees

中国电建集团西北勘测设计研究院有限公司
北京林业大学

Dates

Publication Date: 20260512
Application Date: 20260413

Claims (10)

1. A method for determining a vegetation configuration mode, comprising: dividing an area to be repaired into a plurality of micro-site types, and acquiring vegetation investigation information obtained by vegetation sample investigation in each micro-site type; Calculating importance values of plant species of different categories based on the vegetation survey information, wherein the importance values are used for representing importance degrees of the plant species in communities; Determining primary plant species based on the significance values, and calculating the niche width and the niche overlap value of each primary plant species according to the significance values of the primary plant species; establishing a multiple linear regression model by taking the micro-site factors and the vegetation factors as independent variables and taking the soil and water conservation function indexes as dependent variables by adopting a stepwise regression method, wherein the micro-site factors are used for indicating factors of at least one of terrains, soil and microclimate conditions of the micro-site type, and the multiple linear regression model is a prediction model used for representing the relationship between the micro-site factors and the vegetation factors and the soil and water conservation function indexes; Based on the multiple linear regression model, the water and soil conservation function and community stability of different plant combinations are evaluated according to the importance value, the ecological niche width and the ecological niche overlapping value of each initially selected plant species, and a target plant combination is determined according to the evaluation result so as to form a vegetation configuration scheme.
2. The method of claim 1, wherein the soil and water conservation function index comprises a soil conservation index and a water conservation index; The method for constructing the multiple linear regression model by using the micro-site factors and the vegetation factors as independent variables and the soil and water conservation function indexes as dependent variables through a stepwise regression method comprises the following steps: Stepwise regression is carried out on the micro-site factors, the vegetation factors and the soil conservation indexes, a first reference prediction model for representing the relation between the micro-site factors and the vegetation factors and the soil conservation indexes is established, and a reference soil conservation index is determined based on the first reference prediction model; Stepwise regression is performed on the micro-site factors, the vegetation factors and the water conservation indexes based on the reference soil conservation indexes, a second reference prediction model for representing the relation between the micro-site factors and the vegetation factors and the water conservation indexes is established, and a reference water conservation index is determined based on the second reference prediction model; And establishing the multiple linear regression model based on stepwise regression of the reference soil conservation index, the reference water conservation index, the micro-plot factor and the vegetation factor.
3. The method of claim 2, wherein the first reference predictive model is regression modeled based upon at least one of soil volume weight, soil disintegration rate, vegetation coverage, soil thickness, soil nutrient, and the second reference predictive model is regression modeled based upon at least one of soil capillary water holding capacity, soil capillary porosity, vegetation height, soil water holding capacity, and species diversity index; The multiple linear regression model comprises important values of plant species, vegetation height, vegetation coverage, soil thickness, soil nutrients and soil water holding capacity as index parameters.
4. The method of claim 1, wherein the estimating water and soil conservation functions and community stability of different plant combinations based on the multiple linear regression model according to importance, niche width and niche overlap values of each primary plant species, and determining target plant combinations according to the estimation results to form a vegetation configuration scheme comprises: Inputting a vegetation factor value and a corresponding micro-site factor value of each plant combination to be evaluated into the multiple linear regression model, and calculating to obtain a predicted soil and water conservation function index of the plant combination; For the plant combination to be evaluated, determining an adaptation amplitude index of a species according to an ecological niche width value of the included initially selected plant species, and determining an inter-species competition strength index according to an inter-species ecological niche overlap value, so as to determine a potential community stability index of the plant combination according to the adaptation amplitude index of the species and the inter-species competition strength index; Acquiring a functional threshold value corresponding to a water and soil conservation functional index, a width lower limit threshold value corresponding to an ecological niche width and an overlapping upper limit threshold value corresponding to an ecological niche overlapping value; screening candidate combinations from each plant combination based on the functional threshold, the width lower limit threshold, and the overlap upper limit threshold; From the candidate combinations, the target plant combination is determined according to a predicted soil and water conservation function index and a community stability index.
5. The method of claim 4, wherein the screening candidate combinations from among the plant combinations based on the functional threshold, the lower width threshold, and the upper overlap threshold comprises: Screening out plant combinations which simultaneously meet the conditions that the predicted water and soil conservation function index is not lower than the function threshold, the ecological niche width values of main species are all larger than the width lower limit threshold, and the ecological niche overlap values among the main species are all smaller than the overlap upper limit threshold; wherein the main species refers to a species with a ratio exceeding a preset ratio in the sum of the important values of the plant combination.
6. The method of claim 5, wherein the method further comprises: and determining the functional threshold value, the width lower limit threshold value and the overlapping upper limit threshold value based on investigation data statistical results of the natural stable communities and/or the historical successful repair plots in the area to be repaired.
7. The method of claim 1, wherein the calculating the importance values of the different categories of plant species based on the vegetation survey information, respectively, comprises: Calculating the importance value of the plant species according to the relative density, the relative frequency and the parameter items corresponding to the vegetation level of the plant species aiming at each class of plant species; the parameter items are relative saliency indexes for arbor layers, relative height indexes for shrub layers and relative coverage indexes for herbal layers.
8. The method of claim 7, wherein calculating, for each class of plant species, the importance value of the plant species from the relative density, relative frequency, and parameter terms corresponding to the level of vegetation to which the plant species belongs, of the community of plant species comprises: Aiming at each type of plant species, acquiring functional character characteristics of the plant species corresponding to soil and water conservation functions; Determining the contribution weight of each functional character characteristic to the functions of soil conservation and water conservation; Determining a trait contribution index based on the functional trait characteristics and corresponding contribution weights of the plant species based on a pre-trained importance assessment model; and calculating the importance value of the plant species according to the relative density, the relative frequency, the parameter item corresponding to the vegetation level of the plant species and the character contribution index.
9. The method of claim 8, wherein the functional trait comprises at least a root trait, a canopy trait, a litter trait, and a physiological trait.
10. A plant configuration mode determining apparatus, comprising: the information acquisition module is used for dividing the area to be repaired into a plurality of micro-site types and acquiring vegetation investigation information obtained by vegetation sample investigation in each micro-site type; The first calculating module is used for calculating importance values of plant species of different categories respectively based on the vegetation investigation information, wherein the importance values are used for representing importance degrees of the plant species in communities; The second calculation module is used for determining the primary selected plant species based on the important values, and calculating the ecological niche width and the ecological niche overlap value of each primary selected plant species according to the important values of the primary selected plant species; The regression modeling module is used for constructing a multiple linear regression model by taking the micro-site factors and the vegetation factors as independent variables and taking the soil and water conservation function indexes as dependent variables through a stepwise regression method, wherein the micro-site factors are used for indicating factors of at least one of the topography, the soil and the micro-climate conditions of the micro-site type, and the multiple linear regression model is a prediction model used for representing the relationship between the micro-site factors and the vegetation factors and the soil and water conservation function indexes; The scheme determining module is used for evaluating the water and soil conservation function and community stability of different plant combinations according to the importance value, the ecological niche width and the ecological niche overlapping value of each initially selected plant species based on the multiple linear regression model, and determining the target plant combination according to the evaluation result so as to form a vegetation configuration scheme.

Description

Vegetation configuration mode determining method and device Technical Field The disclosure relates to the technical field of regional soil and water conservation and environmental management, and more particularly relates to a vegetation configuration mode determining method and a vegetation configuration mode determining device. Background In the recovery process of an ecologically vulnerable area, a water and soil loss area and a degraded ecological system, scientifically and reasonably configuring vegetation is a key measure for improving the water and soil conservation function of an area and promoting the stability of the ecological system. The traditional vegetation configuration method is characterized in that plant species are selected qualitatively by experience or are simply matched according to a few site conditions, and the system consideration of quantitative relation between micro-environment heterogeneity and plant community structure and functions is lacked, so that the configured vegetation community has weak adaptability, undefined soil and water conservation benefit and difficult guarantee of community stability, and the long-term effect of ecological restoration is affected to a certain extent. It should be noted that the information of the present invention in the above background section is only for enhancing understanding of the background of the present disclosure, and thus may include information that does not form the prior art that is already known to those of ordinary skill in the art. Disclosure of Invention The invention aims to provide a vegetation configuration mode determining method and a vegetation configuration mode determining device, so that a proper vegetation configuration mode can be provided, and the soil and water conservation benefit and the long-term effect of ecological restoration are improved. Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure. According to one aspect of the disclosure, a method for determining a planting configuration mode is provided, which comprises dividing an area to be repaired into a plurality of micro-site types, obtaining vegetation investigation information obtained by vegetation sample investigation in each micro-site type, calculating importance values of plant species of different categories based on the vegetation investigation information, wherein the importance values are used for representing importance degrees of the plant species in communities, determining primary plant species based on the importance values, calculating the ecological niche width and the ecological niche overlap value of each primary plant species according to the importance values of the primary plant species, constructing a multiple linear regression model by taking micro-site factors and vegetation factors as independent variables and taking a water and soil conservation function index as dependent variables by adopting a stepwise regression method, wherein the micro-site factors are factors for indicating at least one of topography, soil and micro-climate conditions of the micro-site types, the multiple linear regression model is a prediction model for representing relations between the micro-site factors and the vegetation factors and the water and soil conservation function index, and evaluating a target plant configuration and forming a plant configuration result according to the multiple linear regression model. In one exemplary embodiment of the disclosure, the soil and water conservation function index comprises a soil conservation index and a water conservation index, the micro-site factor and the vegetation factor are taken as independent variables, the soil and water conservation function index is taken as dependent variables, a multiple linear regression model is built by adopting a stepwise regression method, the method comprises the steps of stepwise regression of the micro-site factor, the vegetation factor and the soil conservation index, building a first reference prediction model for representing the relationship between the micro-site factor and the vegetation factor and the soil conservation index, determining a reference soil conservation index based on the first reference prediction model, stepwise regression of the micro-site factor, the vegetation factor and the water conservation index based on the reference soil conservation index, building a second reference prediction model for representing the relationship between the micro-site factor and the vegetation factor and the water conservation index, and determining a reference water conservation index based on the second reference prediction model, and building the multiple linear regression model based on the reference soil conservation index, the reference water conservation index, the micro-site factor and the vegetation factor. In one exemplary embodiment