Ecological security pattern recognition method fusing landscape index and random walk model

A random walk model, ecological security technology, applied in the direction of image data processing, special data processing applications, image enhancement, etc., can solve the problems of covering up influence, ignoring, etc., and achieve the effect of less data volume

CN113505510AActive Publication Date: 2021-10-15SICHUAN NORMAL UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2021-10-15

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Abstract

The invention discloses an ecological security pattern recognition method fusing landscape indexes and a random walk model, which comprises the following steps: evaluating each ecological system service function based on an InVEST model, classifying into five levels according to a natural discontinuity point method, extracting a fourth-level range and a fifth-level range as high-value areas of ecological system services, and performing equal weight superposition on the high-value areas to obtain an result, the result being the ecological system service high-value area range; based on the land utilization type data, performing MSPA analysis by using a GuidosToolbox software platform, and extracting landscape elements of the core area from a result; taking an intersection of landscape elements of the ecological system service high-value area and the core area, wherein the intersection is an ecological source alternative area; through trend analysis, selecting a minimum area threshold value of the ecological source land which is most suitable for the research area. The invention provides a new ecological security pattern recognition system of 'recognizing an ecological source, constructing an ecological resistance surface, extracting an ecological corridor and selecting a key ecological node , so that the defects of an existing research normal form and a technical system are overcome.
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Description

technical field

[0001] The invention relates to the technical field of ecological security patterns, in particular to an identification method for ecological security patterns combining landscape index and random walk model. Background technique

[0002] The identification of the ecological security pattern is mainly based on the ecological protection needs at a specific level. Based on the "patch-corridor-matrix" research paradigm of landscape ecology, it extracts the key factors that play a key role in ensuring the natural ecological process and ecosystem services in the region. At present, the method of identifying the ecological security pattern has become increasingly mature, and the research framework of "identifying the ecological source-constructing the ecological resistance surface-extracting the ecological corridor" is also It has become the basic model for identifying the ecological security pattern. Among them, ecological sources refer to habitat patches that ar...

Examples

Embodiment 1

[0041] The ecological security pattern identification method that integrates the landscape index and the random walk model includes the following steps:

[0042] A. Based on the InVEST model to evaluate various ecosystem service functions (water yield, soil and water conservation services, carbon sequestration, and grain production services), they are reclassified into five levels according to the natural discontinuity point method, and the fourth and fifth levels are extracted as High-value areas of ecosystem services, and these high-value areas are superimposed with equal weight, and the union is taken to obtain the range of high-value areas of ecosystem services. That is, based on multiple modules in the InVEST model, quantitatively evaluate the importance and sensitivity of ecological service functions in a certain area, and extract high-value areas of ecosystem services to prepare for the extraction of ecological source patches;

[0043] B. Based on the data of land use t...

Embodiment 2

[0066] (1) Ecosystem service function assessment

[0067] Extract the high-value areas of the above four ecosystem services (that is, the areas of level 4 and level 5), and take the union to get Figure 4 f, represents the overall spatial distribution of various high-quality ecosystem services, and this data will be used in the subsequent extraction of ecological sources.

[0068] (2) Extraction of core area plaques based on morphological spatial pattern analysis

[0069] Figure 5 That is the result of MSPA analysis. Based on this result, the distribution range of patches in the core area was extracted using the extraction tool of the ArcGIS software platform, and the raster data was converted into vector surface data ( Figure 6 ), the data will be used in the subsequent extraction of ecological sources.

[0070] (3) Extract ecological sources

[0071] Through the ArcGIS software platform, the intersection of the high-value areas of ecosystem services and the core areas...