CN112508758B - Ecological system internal type component and attribute component composition structure cooperative description method - Google Patents

Ecological system internal type component and attribute component composition structure cooperative description method Download PDF

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CN112508758B
CN112508758B CN202011401088.XA CN202011401088A CN112508758B CN 112508758 B CN112508758 B CN 112508758B CN 202011401088 A CN202011401088 A CN 202011401088A CN 112508758 B CN112508758 B CN 112508758B
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侯光雷
陈子琦
刘兆礼
赵文斌
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Northeast Institute of Geography and Agroecology of CAS
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Abstract

A cooperative description method for the internal type component and attribute component structure of an ecosystem relates to a cooperative description method for the internal type and attribute component structure of the ecosystem. The invention aims to solve the technical problem that the existing method is difficult to comprehensively display the internal composition structure condition of the ecosystem. The method comprises the following steps: generating attribute raster data of the type component in the ecosystem; and constructing the frequency distribution of the attribute components of the types inside the ecosystem. The invention organically combines the type components and the attribute components in the ecosystem to integrate the advantages of the two component structure description methods, overcomes the respective defects of the single component structure description method, and forms a description method which comprehensively reflects the internal component structure of the ecosystem. The invention belongs to the field of description of an attribute structure of an ecosystem.

Description

Ecological system internal type component and attribute component composition structure cooperative description method
Technical Field
The invention relates to a cooperative description method for an internal type and attribute composition structure of an ecosystem.
Background
The strength and quality of the ecosystem function depend on the quality of the internal structure, so that the comprehensive and systematic description of the internal structure, especially the composition structure of the ecosystem is necessary. In the past, when evaluating the internal composition structure condition of the ecosystem, a description method of the type component composition structure is generally adopted, namely, on the basis of classifying the internal components of the ecosystem, the type component composition structure in the ecosystem is expressed through a histogram of the distribution area or the occupied area ratio of the type components; however, the above method cannot reflect the variation of the attributes in each subtype component of the ecosystem. The patent 'ecosystem attribute component composition structure description method based on remote sensing vegetation indexes' provides a description method for representing ecosystem attribute component composition structures by using the remote sensing vegetation indexes, but aims at the overall attributes of an ecosystem, and does not contain information in the aspect of ecosystem internal type component composition structures, so that the internal composition structure condition of the ecosystem is difficult to display comprehensively.
Disclosure of Invention
The invention aims to solve the technical problem that the existing method is difficult to comprehensively display the internal composition structure condition of an ecosystem, and provides a cooperative description method for composition structures of internal type components and attribute components of the ecosystem.
The ecological system internal type component and attribute component composition structure collaborative description method is carried out according to the following steps:
1. generating attribute raster data of the type component in the ecosystem:
carrying out statistical analysis on the subtype component distribution grid data in the ecological system, carrying out spatial superposition and classification on the subtype component distribution grid data and the vegetation index of a research area or ecological parameter grid data, and extracting attribute distribution grid data in each subtype component of the ecological system;
constructing a histogram for representing the internal type component composition structure of the ecosystem by taking the subtype as a horizontal axis and the number of the subtype grids as a vertical axis;
2. and (3) constructing the frequency distribution of attribute components of the internal types of the ecosystem:
according to the grid value statistics of the ecological system attribute distribution grid data, a grouping scheme of the ecological system attribute components is formulated; carrying out statistical calculation on internal attribute raster data of each subclass component of the ecological system to obtain grid frequency of each subclass internal attribute component;
constructing a type internal attribute component frequency distribution diagram representing the type internal attribute component composition structure description in the ecosystem;
and forming a structure distribution diagram formed by the internal type components and the attribute components of the ecosystem by taking the characteristic value of the attribute grouping as a horizontal axis and taking the area occupied by the internal attribute grouping of the subtype as a vertical axis for each subtype of the ecosystem.
The invention organically combines the type components and the attribute component composition structures in the ecosystem to integrate the advantages of the two composition structure description methods and overcome the respective defects of the single composition structure description method, thereby forming the description method which can comprehensively reflect the internal composition structures of the ecosystem.
Drawings
FIG. 1 is a diagram of a forest ecosystem vegetation index NDVI grid data in experiment I;
FIG. 2 is a chart of broad leaved forest vegetation index NDVI grid data in experiment one;
FIG. 3 is a graph of evergreen conifer vegetation index NDVI grid data for experiment one;
FIG. 4 is a graph of NDVI grid data for a larch forest vegetation index in experiment one;
FIG. 5 is a graph of NDVI grid data for vegetation indexes of broad-mixed forests in experiment one;
FIG. 6 is a plot of deciduous broadleaf bush vegetation index NDVI grid data in experiment one;
fig. 7 is a frequency distribution diagram of NDVI components of vegetation index of types inside forest ecosystems of jilin province in experiment one.
Detailed Description
The technical solution of the present invention is not limited to the embodiments listed below, and includes any combination of the embodiments.
The first embodiment is as follows: the method for cooperatively describing the internal type component and attribute component composition structure of the ecosystem of the embodiment is carried out according to the following steps:
1. generating attribute raster data of the type component in the ecosystem:
carrying out statistical analysis on the subtype component distribution grid data in the ecological system, carrying out spatial superposition and classification on the subtype component distribution grid data and the vegetation index of a research area or ecological parameter grid data, and extracting attribute distribution grid data in each subtype component of the ecological system;
constructing a histogram for representing the internal type component composition structure of the ecosystem by taking the subtype as a horizontal axis and the number of the subtype grids as a vertical axis;
2. and (3) constructing the frequency distribution of attribute components of the internal types of the ecosystem:
according to the grid value statistics of the ecological system attribute distribution grid data, a grouping scheme of the ecological system attribute components is formulated; carrying out statistical calculation on internal attribute raster data of each subclass component of the ecological system to obtain grid frequency of each subclass internal attribute component;
constructing a type internal attribute component frequency distribution diagram representing the type internal attribute component composition structure description in the ecosystem;
and forming a structure distribution diagram formed by the internal type components and the attribute components of the ecosystem by taking the characteristic value of the attribute grouping as a horizontal axis and taking the area occupied by the internal attribute grouping of the subtype as a vertical axis for each subtype of the ecosystem.
The following experiments are adopted to verify the effect of the invention:
experiment one:
the ecological system internal type component and attribute component composition structure collaborative description method is carried out according to the following steps:
1. generating attribute grid data of the type component in the ecosystem:
spatial superposition processing is carried out on the NDVI data of the vegetation indexes of Jilin province in 2000 and the type distribution data of forest land in 2000, so as to obtain the grid data (shown in figures 1-6) of the forest ecosystem and the NDVI data of the interior type vegetation indexes of the forest ecosystem, and the attribute grading of the grid data is shown in table 1.
TABLE 1 Attribute grading System
Figure BDA0002812362050000031
Carrying out statistical analysis on the subtype component distribution grid data in the ecological system, carrying out spatial superposition and classification on the subtype component distribution grid data and the vegetation index of a research area or ecological parameter grid data, and extracting attribute distribution grid data in each subtype component of the ecological system;
constructing a histogram for representing the internal type component composition structure of the ecosystem by taking the subtype as a horizontal axis and the number of the subtype grids as a vertical axis;
2. and (3) constructing the frequency distribution of attribute components of the internal types of the ecosystem:
and generating an ecosystem and a frequency distribution map of the attribute of each subclass of the ecosystem by the vegetation index NDVI grid data, wherein the frequency distribution map is obtained by carrying out equidistant grouping statistics on the forest land type and the vegetation index NDVI data of each subclass of the forest land type. The grouping interval of the vegetation index NDVI is 0.02, which is formed by taking the median (feature value) of the grouping as the horizontal axis and the space area occupied by each subclass as the vertical axis.
The internal structure analysis of the forest ecosystem of Jilin province is shown in figure 7: the NDVI distribution of the vegetation index for the forest ecosystem of the ji lin province in 2000 appeared as a skewed unimodal distribution, with peaks in the extreme high range, a dramatic drop in the number of forests falling to the high and medium range of NDVI, and a few remaining forests to the low range. The secondary classification of the forest ecosystem of Jilin province mainly comprises five subclasses, wherein the larch coniferous forest accounts for the main body, the distribution area is as high as 79.14%, the areas of other subclasses account for a small proportion, and the area proportions of the Dahliang mixed forest, the evergreen coniferous forest, the larch coniferous forest and the larch broadleaf bush are 11.43%, 4.74%, 2.83% and 1.84% in sequence; the statistical distribution form of the area of the deciduous coniferous forest is similar to the whole forest ecological system, except for a main peak positioned in an extremely high value area, a secondary peak with lower area occupation ratio is also generated in a middle and high value area; the statistical distribution of the areas of the other four subclasses is shown as a single peak with the majority in the region of very high values, and the distribution of the areas is very small for the other NDVI value regions.

Claims (2)

1. The cooperative description method for the internal type component and attribute component composition structure of the ecosystem is characterized by comprising the following steps of:
1. generating attribute raster data of the type component in the ecosystem:
carrying out statistical analysis on the subtype component distribution grid data in the ecological system, carrying out spatial superposition and classification on the subtype component distribution grid data and the vegetation index of a research area or ecological parameter grid data, and extracting attribute distribution grid data in each subtype component of the ecological system;
constructing a histogram for representing the internal type component composition structure of the ecosystem by taking the subtype as a horizontal axis and the number of the subtype grids as a vertical axis;
2. constructing the frequency distribution of attribute components of the types inside the ecosystem:
according to the grid value statistics of the ecological system attribute distribution grid data, a grouping scheme of the ecological system attribute components is formulated; carrying out statistical calculation on internal attribute raster data of each subclass component of the ecological system to obtain grid frequency of each subclass internal attribute component;
constructing a type internal attribute component frequency distribution diagram representing the type internal attribute component composition structure description in the ecosystem;
and forming a structure distribution diagram formed by the internal type components and the attribute components of the ecosystem by taking the characteristic value of the attribute grouping as a horizontal axis and taking the area occupied by the internal attribute grouping of the subtype as a vertical axis for each subtype of the ecosystem.
2. The method for describing composition structure of type components and attribute components in ecosystem in cooperation with according to claim 1, wherein the grouping interval of the grouping scheme in the second step is 0.02.
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