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 PDFInfo
- Publication number
- 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
- Authority
- CN
- China
- Prior art keywords
- attribute
- ecosystem
- component
- internal
- subtype
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000010586 diagram Methods 0.000 claims description 8
- 238000007619 statistical method Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000007547 defect Effects 0.000 abstract description 2
- 238000002474 experimental method Methods 0.000 description 9
- 241000218652 Larix Species 0.000 description 4
- 235000005590 Larix decidua Nutrition 0.000 description 4
- 241000218631 Coniferophyta Species 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Image Analysis (AREA)
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
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
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.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011401088.XA CN112508758B (en) | 2020-12-02 | 2020-12-02 | Ecological system internal type component and attribute component composition structure cooperative description method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011401088.XA CN112508758B (en) | 2020-12-02 | 2020-12-02 | Ecological system internal type component and attribute component composition structure cooperative description method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112508758A CN112508758A (en) | 2021-03-16 |
CN112508758B true CN112508758B (en) | 2022-12-06 |
Family
ID=74968239
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011401088.XA Active CN112508758B (en) | 2020-12-02 | 2020-12-02 | Ecological system internal type component and attribute component composition structure cooperative description method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112508758B (en) |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105205330A (en) * | 2015-09-30 | 2015-12-30 | 西安科技大学 | Ecological safety evaluating method based on fishing net model |
CN106446444A (en) * | 2016-10-14 | 2017-02-22 | 中国科学院遥感与数字地球研究所 | Soil moisture spatial predication research based on Bayes maximum entropy and priori knowledge |
CN106548017A (en) * | 2016-10-25 | 2017-03-29 | 中国科学院地理科学与资源研究所 | A kind of ecological construction data processing method based on LU data and NDVI data |
CN109636171A (en) * | 2018-12-06 | 2019-04-16 | 西安理工大学 | A kind of comprehensive diagnos and risk evaluating method that regional vegetation restores |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104166782A (en) * | 2014-06-05 | 2014-11-26 | 刘健 | Method for remote sensing and estimating woodland soil organic carbon |
CN104156876A (en) * | 2014-08-21 | 2014-11-19 | 安徽省环境科学研究院 | Technical framework of ecological system supply service and value assessment |
CN107273820B (en) * | 2017-05-26 | 2020-10-16 | 中国科学院遥感与数字地球研究所 | Remote sensing classification method and system for land coverage |
CN107194610A (en) * | 2017-06-16 | 2017-09-22 | 北京师范大学 | Urban ecological safety evaluation method based on configuration process functional mode |
-
2020
- 2020-12-02 CN CN202011401088.XA patent/CN112508758B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105205330A (en) * | 2015-09-30 | 2015-12-30 | 西安科技大学 | Ecological safety evaluating method based on fishing net model |
CN106446444A (en) * | 2016-10-14 | 2017-02-22 | 中国科学院遥感与数字地球研究所 | Soil moisture spatial predication research based on Bayes maximum entropy and priori knowledge |
CN106548017A (en) * | 2016-10-25 | 2017-03-29 | 中国科学院地理科学与资源研究所 | A kind of ecological construction data processing method based on LU data and NDVI data |
CN109636171A (en) * | 2018-12-06 | 2019-04-16 | 西安理工大学 | A kind of comprehensive diagnos and risk evaluating method that regional vegetation restores |
Non-Patent Citations (5)
Title |
---|
MODIS,CYCLOPES和CLASS 3种LAI产品在韩江流域的对比;刘远 等;《国土资源遥感》;20180331;第30卷(第1期);14-21 * |
RS技术在城市化进程中的动态监测及驱动力分析--以浙江省杭州市萧山区为例;王凉 等;《理工科研》;20090531;260-261 * |
云南省陆地生态系统和土地利用类型的NDVI时空变化特征;鲁韦坤等;《气象与环境科学》;20200815(第03期);71-77 * |
基于MODIS数据的陕西省2015年NDVI变化分析;吕缀;《甘肃科技》;20190115;第35卷(第1期);53-55 * |
基于NDVI云南地区植被生态系统对气候变化的适应性分析;何云玲等;《生态科学》;20191225(第06期);165-172 * |
Also Published As
Publication number | Publication date |
---|---|
CN112508758A (en) | 2021-03-16 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105513127B (en) | Shaft regularization three-dimensional modeling method and system based on density peaks cluster | |
CN106991446A (en) | A kind of embedded dynamic feature selection method of the group policy of mutual information | |
CN105046188A (en) | MODIS mixed pixels decomposition forest information extraction method | |
CN106709989B (en) | Geographic ontology modeling and semantic reasoning method based on object-oriented image features | |
CN103559500A (en) | Multispectral remote sensing image land feature classification method based on spectrum and textural features | |
CN109993839A (en) | A kind of adaptive point cloud band division methods | |
CN112347978B (en) | Ecological system attribute component composition structure description method based on remote sensing vegetation index | |
CN111062446B (en) | Land type classification method based on multi-source homeland resource data | |
CN109490838A (en) | A kind of Recognition Method of Radar Emitters of data base-oriented incompleteness | |
CN112462347B (en) | Laser radar point cloud rapid classification filtering algorithm based on density clustering | |
CN112508758B (en) | Ecological system internal type component and attribute component composition structure cooperative description method | |
Mair et al. | Multidimensional scaling in R: smacof | |
Zhou et al. | Visual abstraction of geographical point data with spatial autocorrelations | |
CN111311435A (en) | Intelligent power auditing method based on satellite map technology | |
CN109214686B (en) | Quantitative analysis method for land occupation and compensation balance | |
CN102208027B (en) | Method for evaluating land utilization spatial pattern based on clearance degree dimension | |
CN112308753A (en) | Ecological system attribute component composition structure description method based on ecological parameters | |
CN117009411A (en) | Method, device and computer readable storage medium for meshing space storage and indexing based on point cloud data | |
CN112365150B (en) | Ecological system attribute component composition structure quantization method facing frequency distribution situation | |
CN112465361B (en) | Ecological system attribute component composition structure change quantification method | |
CN112685468B (en) | Ecological system attribute component composition structure long-term evolution graph expression method | |
Sakahira et al. | Social Network Analysis of Ancient Japanese Obsidian Artifacts Reflecting Sampling Bias Reduction | |
Wang et al. | Anisotropy analyses of population distribution patterns | |
Su | Comprehensive evaluation and classification of urban economic benefits under typical correlation analysis | |
CN114997237A (en) | Ecological system attribute component composition structure quantification method based on multimodal frequency distribution |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |