Coastal zone ecosystem health evaluation method based on PSR model

Abstract

The invention discloses a culture bay fishery habitat health evaluation method and system based on a PSR model, and the method comprises the steps: evaluating the health of a coastal zone ecosystem through a specific index system, and carrying out the quantitative processing of an evaluation result, so as to enrich the health evaluation system of the coastal zone ecosystem. The main driving factors influencing the health of the coastal zone ecosystem are determined, and reference can be provided for coastal zone habitat protection and management.

Description

Technical Field

[0001] The present invention relates to the technical field of coastal zone ecosystem management, and in particular to a coastal zone ecosystem health assessment method based on a PSR model. Background Art

[0002] As human industrial civilization continues to upgrade, the "pollution" caused by humans to the environment is becoming more and more serious. According to the results of the Millennium Ecosystem Assessment Project conducted by the United Nations Environment Program and other organizations in the early 21st century, human activities have significantly changed all ecosystems on the earth in the last 50 years of the 20th century. The interference caused by human activities to the ecosystem will cause a series of severe environmental problems. Worldwide, ozone depletion, greenhouse effect, frequent acid rain and other ecological and environmental problems continue to affect human living conditions. The ten major environmental pollution events in the 20th century are the direct manifestation of these problems; in China, river pollution, haze pollution, and energy pollution have always been the theme of ecological and environmental governance. In this regard, the Chinese government has formulated dual carbon goals to promote the construction of ecological civilization. The external interference caused by human activities to the ecosystem will lead to disorder within the ecosystem and the loss of ecosystem services, which in turn affects human living conditions. Human pollution has become the main problem in controlling ecosystem and human health risks. It is very necessary to carry out a comprehensive and holistic assessment of the ecosystem.

[0003] Ecosystem health research is an important hot topic in the current environmental field. Whether from the perspective of sustainable development of human society or the balanced development of ecosystems, it is necessary and of great significance. Since the 1980s, the coastal zone has gradually become the engine of national social and economic development. The country's goods, population and funds are concentrated in this area. In order to better utilize this geographical advantage and natural resources, large-scale land reclamation has been carried out in the coastal area for industrial construction. This move has created new growth points for economic development, but it has also brought ecological problems. The consumption and demand of economic and social development, coupled with its own ecological fragility, have led to the increasing scarcity of ecological resources and the deterioration of the ecological environment. Sustainable utilization has become a requirement.

[0004] Judging from the ecosystem health assessment research currently conducted by researchers, the evaluation index system used by researchers needs to be improved, and there is a lack of evaluation indicators for ecosystem services. The state change of the ecosystem has a certain lag, and the index system established by most current research institutes lacks time scale parameters. Summary of the invention

[0005] 1. A coastal ecosystem health assessment method based on the PSR model, characterized by comprising the following steps:

[0006] Step S1: Screening of coastal ecosystem health indicators;

[0007] Step S2: Establish a coastal ecosystem health assessment index system based on the pressure-state-response PSR model;

[0008] Step S3: indicator data collection and dimensionless conversion;

[0009] Step S4: Determine the objective weight of each indicator by entropy method;

[0010] Step S5: Determine the comprehensive weight Wi of each indicator;

[0011] Step S6: Calculation and evaluation of coastal ecosystem health index.

[0012] 2. According to claim 1, a coastal ecosystem health assessment method based on the PSR model is characterized in that: in step S1, the main indicators affecting the health of the coastal ecosystem are screened out from three aspects: pressure, state, and response; the principles of indicator selection include scientific principle, hierarchical principle, and operability principle. The scientific principle requires that the selected indicators be scientific and reasonable, and to a certain extent, be able to reflect the state of the ecosystem in a certain direction; the hierarchical principle requires that the selected indicators have a certain hierarchy, extending from high-level indicators to low-level indicators, and low-level indicators are subordinate to high-level indicators; the operability principle requires that the evaluation indicators must be easy to obtain at this stage, and need to be obtained through observation or experimental methods. The indicators should use first-hand information as much as possible to ensure the authenticity and objectivity of the indicator system.

[0013] 3. According to a coastal ecosystem health assessment method based on the PSR model according to claim 1, it is characterized in that: in step S2, the constructed coastal ecosystem health assessment index system based on the pressure-state-response PSR model includes three criterion layers of pressure, state, and response; the pressure criterion layer includes indicators of population density, GDP per capita, and PM2.5; the state criterion layer includes indicators of plaque density, number of plaques, and Shannon diversity index; the response criterion layer includes indicators of soil erosion, water production, and carbon storage.

[0014] 4. The coastal ecosystem health assessment method based on the PSR model according to claim 1 is characterized by:

[0015] In step S3, the original data of each indicator is collected according to the principles of scientificity, hierarchy and operability, and the data is dimensionless:

[0016] Where Xij is the normalized value of the j-th original data of the i-th indicator, Xmax represents the maximum value of the indicator, and Xmin represents the minimum value of the indicator.

[0017] 5. A coastal ecosystem health assessment method based on the PSR model according to claim 4, characterized in that: in step S4, the specific calculation method of the objective weight is as follows:

[0018] Calculate the zeroing of the i-th indicator:

[0019] In the formula, α is the number of units that translate the standardized dimensionless data;

[0020] Calculate the proportion Pij of the jth district and county under the i-th indicator:

[0021] In the formula, n is the number of districts and counties;

[0022] Calculate the entropy value ei of the i-th category indicator:

[0023] Calculate the coefficient of difference gi of the i-th indicator:

[0024] Calculate the weight wi of the i-th category indicator:

[0025] In the formula, m is the number of indicators.

[0026] 6. The coastal ecosystem health assessment method based on the PSR model according to claim 5 is characterized by:

[0027] In step S5, the indicator weight W is calculated by the entropy method in step S4.

[0028] 7. The coastal ecosystem health assessment method based on the PSR model according to claim 6 is characterized by:

[0029] In step S6, the coastal ecosystem health index EHI is calculated by weighted summation: where: EHI is the ecosystem health index, wi is the weight of the i-th indicator, n is the number of indicators, and Xi is the standardized value of the i-th indicator.

[0030] 8. The coastal ecosystem health assessment method based on the PSR model according to claim 7 is characterized by:

[0031] In step S6, according to the entropy method, the calculated health index takes a value between [0, 1]. When the index value is 1, it indicates that the ecosystem has the highest health level, and when the index value is 0, it indicates that the ecosystem has the worst health level.

[0032] 9. A coastal zone ecosystem health assessment system based on the PSR model is obtained by constructing a coastal zone ecosystem health assessment method based on the PSR model according to claims 1-8 on a computer system, characterized in that: a coastal zone ecosystem health assessment index system based on the pressure-state-response PSR model is established, including: an index layer, a criterion layer and a target layer; and, including: an index data processing module, used for index data collection and dimensionless conversion and input into a weight calculation module; a weight calculation module, used for determining the objective weight wi of each index by the entropy method; a health index calculation and evaluation module, used for further calculating and evaluating the coastal zone ecosystem health index EHI according to the calculation results of the weight calculation module.

[0033] The beneficial effects of the present invention are:

[0034] (1) This application provides an innovative coastal ecosystem health assessment method. Specifically, this application improves the ecosystem health assessment indicator system by combining ecosystem services with ecosystem health assessment, making the research results more instructive for regional ecosystem protection and sustainable development.

[0035] (2) In addition, the present application is not limited to the status quo at a certain point in time, thus avoiding the lag problem of ecosystem changes.

[0036] In general, this application realizes the intelligent assessment of coastal ecosystem health, which can effectively improve the reliability and accuracy of coastal ecosystem health assessment and improve the level of intelligent supervision of coastal areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 This is a flow chart of the coastal ecosystem health assessment of the present invention.

Claims

1. A coastal ecosystem health assessment method based on the PSR model, characterized in that: The following steps are involved: Step S1: Screening of coastal ecosystem health indicators; Step S2: Establish a coastal ecosystem health assessment index system based on the pressure-state-response PSR model; Step S3: indicator data collection and dimensionless conversion; Step S4: Determine the objective weight of each indicator by entropy method; Step S5: Determine the comprehensive weight Wi of each indicator; Step S6: Calculation and evaluation of coastal ecosystem health index.

2. According to claim 1, a coastal ecosystem health assessment method based on the PSR model is characterized by: In step S1, the main indicators that affect the health of coastal ecosystems are screened out from three aspects: pressure, state, and response; the principles of indicator selection include scientific principle, hierarchical principle, and operability principle. The scientific principle requires that the selected indicators be scientific and reasonable, and to a certain extent, be able to reflect the state of the ecosystem in a certain direction and scale; the hierarchical principle requires that the selected indicators have a certain hierarchy, extending from high-level indicators to low-level indicators, and low-level indicators are subordinate to high-level indicators; the operability principle requires that the evaluation indicators must be easy to obtain at this stage, and need to be obtained through observation or experimental methods. The indicators should use first-hand information as much as possible to ensure the authenticity and objectivity of the indicator system.

3. The coastal ecosystem health assessment method based on the PSR model according to claim 1 is characterized by: In step S2, the coastal ecosystem health evaluation index system constructed based on the pressure-state-response PSR model includes three criterion layers: pressure, state, and response; the pressure criterion layer includes indicators of population density, GDP per capita, and PM2.5; the state criterion layer includes indicators of patch density, number of patches, and Shannon diversity index; the response criterion layer includes indicators of soil erosion, water production, and carbon storage.

4. The coastal ecosystem health assessment method based on the PSR model according to claim 1 is characterized by: In step S3, the original data of each indicator is collected according to the principles of scientificity, hierarchy and operability, and the data is dimensionless: Where Xij is the normalized value of the j-th original data of the i-th indicator, Xmax represents the maximum value of the indicator, and Xmin represents the minimum value of the indicator.

5. The coastal ecosystem health assessment method based on the PSR model according to claim 4 is characterized by: In step S4, the specific calculation method of the objective weight is as follows: Calculate the zeroing of the i-th indicator: In the formula, α is the number of units that translate the standardized dimensionless data; Calculate the proportion Pij of the jth district and county under the i-th indicator: In the formula, n is the number of districts and counties; Calculate the entropy value ei of the i-th indicator: Calculate the coefficient of difference gi of the i-th indicator: Calculate the weight wi of the i-th category indicator: In the formula, m is the number of indicators.

6. The coastal ecosystem health assessment method based on the PSR model according to claim 5 is characterized by: In step S5, the indicator weight W is calculated by the entropy method in step S4.

7. The coastal ecosystem health assessment method based on the PSR model according to claim 6 is characterized by: In step S6, the coastal ecosystem health index EHI is calculated by weighted summation: Where: EHI is the ecosystem health index, wi is the weight of the i-th indicator, n is the number of indicators, and Xi is the standardized value of the i-th indicator.

8. The coastal ecosystem health assessment method based on the PSR model according to claim 7 is characterized by: In step S6, according to the entropy method, the calculated health index takes a value between [0, 1]. When the index value is 1, it indicates that the ecosystem has the highest health level, and when the index value is 0, it indicates that the ecosystem has the worst health level.

9. A coastal zone ecosystem health assessment system based on the PSR model, which is obtained by constructing a coastal zone ecosystem health assessment method based on the PSR model according to claims 1-8 on a computer system, characterized in that: A coastal ecosystem health evaluation index system based on the pressure-state-response (PSR) model was established, including: an indicator layer, a criterion layer and a target layer; and, including: an indicator data processing module, which is used to collect and dimensionlessly transform indicator data and input it into a weight calculation module; a weight calculation module, which is used to determine the objective weight wi of each indicator through the entropy method; a health index calculation and evaluation module, which is used to further calculate and evaluate the coastal ecosystem health index (EHI) according to the calculation results of the weight calculation module.

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