AU2021101776A4 - Ecosystem Service Supply-demand Index Change Detection Method Oriented to The Natural Resource Management Field - Google Patents
Ecosystem Service Supply-demand Index Change Detection Method Oriented to The Natural Resource Management Field Download PDFInfo
- Publication number
- AU2021101776A4 AU2021101776A4 AU2021101776A AU2021101776A AU2021101776A4 AU 2021101776 A4 AU2021101776 A4 AU 2021101776A4 AU 2021101776 A AU2021101776 A AU 2021101776A AU 2021101776 A AU2021101776 A AU 2021101776A AU 2021101776 A4 AU2021101776 A4 AU 2021101776A4
- Authority
- AU
- Australia
- Prior art keywords
- ecosystem service
- service supply
- ecosystem
- demand index
- demand
- 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.)
- Ceased
Links
- 230000008859 change Effects 0.000 title claims abstract description 18
- 238000001514 detection method Methods 0.000 title claims abstract description 13
- 238000004458 analytical method Methods 0.000 claims abstract description 5
- 230000008878 coupling Effects 0.000 claims description 6
- 238000010168 coupling process Methods 0.000 claims description 6
- 238000005859 coupling reaction Methods 0.000 claims description 6
- 238000010276 construction Methods 0.000 claims description 5
- 230000007613 environmental effect Effects 0.000 claims description 5
- 230000006735 deficit Effects 0.000 claims description 4
- 230000009467 reduction Effects 0.000 claims description 2
- 238000000034 method Methods 0.000 description 9
- 238000005516 engineering process Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000012732 spatial analysis Methods 0.000 description 1
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
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
-
- 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
- G06Q99/00—Subject matter not provided for in other groups of this subclass
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mining & Mineral Resources (AREA)
- General Health & Medical Sciences (AREA)
- Animal Husbandry (AREA)
- Marine Sciences & Fisheries (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- Agronomy & Crop Science (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to an ecosystem service supply-demand index change
detection method oriented to the natural resource management field. Firstly, an
ecosystem service supply-demand index is constructed by quantifying the ecosystem
service supply and the ecosystem service demands. Then the state of the ecosystem
service supply-demand index is measured by constructing an ecosystem service
supply-demand index grading table. Finally, the state changes of the ecosystem
service supply-demand index are analyzed by using a change detection method. The
invention overcomes the problem that the human demands of ecosystem
management are ignored, and improves the scientificity and rationality of the
ecosystemmanagement.
1/3
FIGURE OF THE SPECIFICATION
GDP(taking
logarithm)
Population(taking
logarithm)
FConstructionld
[ o e- .. proportion
IinL
---- - -- -- - L
Ecosystem service Ecosystem service Ecosystem service
supply supply- demand index -demand
Ecosystem service supply-demand index Construct ecosystem service
state change analysis supply-demand index grading table
Fig. 1
Legend Le
0 Ms 110 22 0 55 10 2
Fig. 2
Description
1/3
GDP(taking logarithm)
Population(taking logarithm)
IinL FConstructionld
[ o e- .. proportion
---- - -- -- - L Ecosystem service Ecosystem service Ecosystem service supply supply- demand index -demand
Ecosystem service supply-demand index Construct ecosystem service state change analysis supply-demand index grading table
Fig. 1
Legend Le
0 Ms 110 22 0 55 10 2
Fig. 2
Ecosystem Service Supply-demand Index Change Detection Method
Oriented to The Natural Resource Management Field
The invention relates to an ecosystem service supply-demand index
change detection method oriented to the natural resource management field,
which integrates coupling analysis of the ecosystem service supply and the
ecosystem service demands, and belongs to the field of ecosystem
management.
Ecosystem management is a response to global ecological,
environmental and resource crises and also a holistic approach to natural
resource management. Since the second half of the 20th century, the
ecological crisis has posed a great threat to the development of human society
in the process of rapid development of the world economy. At the same time,
with the acceleration of global economic integration and environmental issues
internationalization, the research hot point of macro-ecology has shifted to how
to scientifically manage the Earth's ecosystem. However, it is a hot and difficult
point to be solved in the field of ecosystem management about how to access
the state and the changes of the ecosystem due to the fact that the ecosystem
is affected by many non-linear factors in natural ecosystems and
socio-economic systems.
At present, the ecosystem management field mainly accesses the state of
the ecosystem from the field of ecosystem service supply. Common methods
include an alternative market technology, a simulated market technology and an equivalent factor method. However, the alternative market technology assessment requires a lot of preliminary work although it is objective and credible; the simulated market technology is affected by many subjective factors and is low in credibility although it is widely used; and the equivalent factor method is simple and straightforward, and is relatively comprehensive in assessment, but its calculation results are relatively low in accuracy.
At the same time, the ecosystem is not only affected by natural factors,
but also depends on social systems. Without human beneficiaries, the
structure and the process of the ecosystem cannot form ecosystem service. At
the same time, the economic activities of stakeholders have created huge
demands for ecosystem services and led to changes in ecosystem services.
Ecosystem management cannot be achieved if only the supply of ecosystem
services is considered while the human demands for ecological services are
ignored. Existing methods for assessing the assessment of ecological services
require questionnaires and other methods, which are time-consuming and
laborious, and therefore, it is difficult to compare the supply-demands of
ecosystem services within a certain time and spatial scope. Moreover, a
coupling mechanism of ecosystem service supply and demands cannot be
revealed for analyzing and accessing the changes in the supply-demand state
of ecosystem services.
To solve the problem, the invention provides an ecosystem service
supply-demand index change detection method oriented to the natural
resource management field. Firstly, an ecosystem service supply-demand
index is constructed. Then an ecosystem service supply-demand index grading table is constructed and supply-demand types of ecosystem services are divided based on the table. Finally, the changes of types of supply-demand indexes, in different years, of ecosystem services are analyzed by change detection.
The technical problem of the invention is mainly solved by the following
technical method:
Step 1, constructing an ecosystem service supply-demand index:
extracting an improved equivalent factor based on multiple factor data to
obtain ecosystem service supply results; quantifying ecosystem service
demand by using population, GDP, and construction land proportion data; and
constructing the ecosystem service supply-demand index according to formula
III, thereby realizing ecosystem service supply-demand coupling;
n ~Formula I ESP = Di * Li
Define ESP as the supply of ecosystem services, where Di is the area of
land use data, and Li is the improved equivalent factor of the land use type.
ESD=Axlg(B)xlg(C) Formula II
Define ESD as the demands for ecosystem services, where A is the
construction land proportion, B is the population density, and C is the GDP
density.
Formula III IESSD= ESP ESD
Define IESSD as the ecosystem service supply-demand index.
Step 2, constructing an ecosystem service supply-demand index grading
table: Constructing an ecosystem service supply-demand index grading table
according to the results of the national ecological civilization demonstration county, national garden city and national ecological environmental quality report, dividing the state of the ecosystem service supply-demand index into three categories including ecological deficit areas, ecological balance areas and ecological surplus areas, and five supply-demand states including surplus, relative surplus, balance, overload and severe overload.
Table 1 Ecosystem Service Supply-demand Index Grading Table
Types Supply-demand states IESSD Ecological deficit areas Severe overload IESSD<0.92 Overload 0.92 CIESSD<3.9 Ecological balance areas Balance 3.961ESSD<12.15 Ecological surplus areas Relative surplus 12.15 IESSD<50.6 Surplus IESSD>50.6
Step 3, using the change detection method to analyze the state changes
of the ecosystem service supply-demand index, where the row in Table below
represents the state area of the ecosystem service supply-demand index at
time T1, and the column represents the state area of the ecosystem service
supply-demand index at time T2; Pij represents the percentage of the area to
the total land area while the state i of the ecosystem service supply-demand
index is converted to the state j during the period of T1-T2; Pi. represents the
total area percentage of the state i at time Ti; P+j represents the total area
percentage of the state type of the ecosystem service supply-demand index of
the point j at time T2; Pi+-Pii represents area reduction percentage of the state i
at time T1-T2, P+j-Pji represents area increase percentage of the state j of the
ecosystem service supply-demand index at time T1-T2.
Table 2 State Change Analysis of Ecosystem Service
Supply-demand Index
T1 Ai A2 ... An Pi+ Reduced
Ai P1 1 P 12 ... Pln Pi+ P1+-P11 A2 P2 1 P2 2 ... P2n P2+ P2+-P22
An Pn1 Pn2 ... Pnn Pn+ Pn+-Pnn P.j P+1 P+2 ... P+n 1 Newly added P+1-P11 P+2-P22 P+n-Pnn
Therefore, the invention has the following advantages: firstly, an
ecosystem service supply-demand index is constructed by quantifying the
ecosystem service supply and the ecosystem service demands; then the state
of the ecosystem service supply-demand index is measured by constructing
an ecosystem service supply-demand index grading table; and finally, the
state changes of the ecosystem service supply-demand index are analyzed by
using a change detection method. The invention overcomes the problem that
the human demands of ecosystem management are ignored, and improves
the scientificity and rationality of the ecosystem management.
Fig. 1 is a model flow chart of the invention.
Fig. 2 is an ecosystem service supply diagram of Example 1.
Fig. 3is an ecosystem service demand diagram of Example 1. Fig. 4 is an ecosystem service supply-demandindexdiagram ofExample
1.
Fig. 5 is an ecosystem service supply-demand index change diagram of
Example 1.
The technical scheme of the invention will be further described in detail in
combination with accompanying drawings and specific examples.
Example:
The model flow chart adopted by the invention is as shown in Fig. 1.
The assessment of the state changes of the ecosystem service
supply-demand index includes the following steps:
step 1, constructing an ecosystem service supply-demand index:
constructing the ecosystem service supply-demand index by quantifying the
supply and demands of ecosystem services to realize coupling of ecosystem
service supply and demands;
step 2, analyzing the state of the ecosystem service supply-demand
index: analyzing the state of the ecosystem service supply-demand index by
constructing an ecosystem service supply-demand index grading table; and
step 3, analyzing the changes in the state of the ecosystem service
supply-demand index: analyzing the state changes of the ecosystem service
supply-demand index by the change detection methods.
Provided is a specific example adopting the method.
1. Based on the improved equivalent factor, the ecosystem service supply
data in 2000 and 2015 were obtained, as shown in Fig. 2; the ecosystem
service demands in 2000 and 2015 were quantified by population, GDP, and
construction land proportion, as shown in Fig. 3; the ArcGIS10.4 field
calculator function was utilized to perform range standardization on supply and
demand data in 2000 and 2015; the ArcGIS10.4 field calculator is utilized to
create new IESSD field and couple ecosystem service supply and demand
data so as to construct the ecosystem service supply-demand index.
2. According to the results of the national ecological civilization
demonstration county, national garden city and national ecological
environmental quality report, the ArcGIS10.4 spatial analysis function is used
to construct the ecosystem service supply-demand index state grading table, and the ecosystem service supply-demand index in 2000 and 2015 is divided into five states including surplus, relative surplus, balance, overload and severe overload, as shown in Fig. 4.
3. The state changes of the ecosystem service supply-demand index from
2000 to 2015 are obtained by using the change detection method, as shown in
Fig. 5.
The specific examples described in the invention are merely illustrative of
the spirit of the invention. A person skilled in the art can make various
modifications or additions to the specific example described or in a similar
manner, without departing from the spirit of the invention or the scope as
defined by the appended claims.
Claims (1)
1. An ecosystem service supply-demand index change detection method
oriented to the natural resource management field, characterized by coupling
ecosystem service supply and demand to analyze state changes of the
ecosystem service supply-demand index, specifically comprising the following
steps:
step 1, constructing an ecosystem service supply-demand index:
extracting an improved equivalent factor based on multiple factor data to
obtain ecosystem service supply results; quantifying ecosystem service
demand by using population, GDP, and construction land proportion data; and
constructing the ecosystem service supply-demand index according to formula
III, thereby realizing ecosystem service supply-demand coupling;
n ~Formula I ESP = Di * Li
define ESP as the supply of ecosystem services, wherein Di is the area of
land use data, and Li is the improved equivalent factor of the land use type;
ESD=Axlg(B)xlg() Formula II
define ESD as the demands for ecosystem services, wherein A is the
construction land proportion, B is the population density, and C is the GDP
density;
Formula III IESSD= ESP ESD
define IESSD as the ecosystem service supply-demand index.
Table 1 Ecosystem Service Supply-demand Index Grading Table
Types Supply-demand states IESSD Severe overload IESSD<0.92 Ecological deficit areas Overload 0.926|ESSD<3.9 Ecological balance areas Balance 3.96IESSD<12.15 Ecological surplus areas Relative surplus 12.156IESSD<50.6 Surplus IESSD>50.6
Step 2, constructing anecosystem service supply-demand index grading
table: constructing an ecosystem service supply-demand index grading table
according to the results of the national ecological civilization demonstration
county, national garden city and national ecological environmental quality
report, dividing the state of the ecosystem service supply-demand index into
three categories including ecological deficit areas, ecological balance areas
and ecological surplus areas, and five supply-demand states including surplus,
relative surplus, balance, overload and severe overload;
Step 3, using the change detection method to analyze the state changes
of the ecosystem service supply-demand index, wherein the row in Table
below represents the state area of the ecosystem service supply-demand
index at time T1, and the column represents the state area of the ecosystem
service supply-demand index at time T2; Pij represents the percentage of the
area to the total land area while the state i of the ecosystem service
supply-demand index is converted to the state j during the period of T1-T2; Pi+
represents the total area percentage of the state i at time Ti; P+j represents the
total area percentage of the state type of the ecosystem service
supply-demand index of the point j at time T2; Pi+-Pii represents area reduction
percentage of the state i at time T1-T2, Pj-Pjj represents area increase percentage of the state j of the ecosystem service supply-demand index at time T1-T2.
Table 2 State Change Analysis of the Ecosystem Service Supply-demand
Index
T1 Ai A2 ... An Pi+ Reduced A1 P11 P12 ... Pin Pi+ Pi+-Pii A2 P21 P22 ... P2n P2+ P2+-P22
An Pni Pn2 ... Pnn Pn+ Pn+-Pnn P~j P+i P+2 .. P+n 1 Newly added P+i-Pii P+2-P22 P+n-Pnn
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2021101776A AU2021101776A4 (en) | 2021-04-07 | 2021-04-07 | Ecosystem Service Supply-demand Index Change Detection Method Oriented to The Natural Resource Management Field |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2021101776A AU2021101776A4 (en) | 2021-04-07 | 2021-04-07 | Ecosystem Service Supply-demand Index Change Detection Method Oriented to The Natural Resource Management Field |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| AU2021101776A4 true AU2021101776A4 (en) | 2021-05-27 |
Family
ID=76094290
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2021101776A Ceased AU2021101776A4 (en) | 2021-04-07 | 2021-04-07 | Ecosystem Service Supply-demand Index Change Detection Method Oriented to The Natural Resource Management Field |
Country Status (1)
| Country | Link |
|---|---|
| AU (1) | AU2021101776A4 (en) |
-
2021
- 2021-04-07 AU AU2021101776A patent/AU2021101776A4/en not_active Ceased
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Ngo et al. | The impact of green finance and Covid-19 on economic development: capital formation and educational expenditure of ASEAN economies | |
| CN103226736B (en) | Based on the long-medium term power load forecasting method of cluster analysis and grey target theory | |
| CN109634940A (en) | A kind of typical low pressure platform area's electricity consumption model building method based on magnanimity low-voltage platform area electricity consumption data | |
| CN111210154A (en) | Method and system for type identification and classification treatment of regional carbon emission characteristics | |
| Dagoumas | Modelling socio-economic and energy aspects of urban systems | |
| CN102116773B (en) | Method for extracting and analyzing energy efficiency index of ethylene industry | |
| Stankevičienė et al. | Dependence of sustainability on country risk indicators in EU Baltic Sea region countries | |
| Cheng et al. | Analysis of the application of big data in banking sector | |
| Zhang et al. | Evaluation of regional agricultural drought vulnerability based on unbiased generalized grey relational closeness degree | |
| Meng et al. | Risk perceptions combining spatial multi-criteria analysis in land-use type of Huainan city | |
| AU2021101776A4 (en) | Ecosystem Service Supply-demand Index Change Detection Method Oriented to The Natural Resource Management Field | |
| CN109064036B (en) | Ecosystem service supply and demand index change detection method facing management field | |
| Wang et al. | Energy justice and decarbonization: a critical assessment for just energy transition in China | |
| Song et al. | Data-driven modeling of the impact of internet inclusive finance on the urban-rural income gap in the E-commerce era | |
| Ismail et al. | Causality between financial development and economic growth, and the Islamic finance imperative: A case study of Indonesia | |
| Cui | Iot financial management system for energy enterprise management risk and prevention and control strategy under the background of double carbon | |
| CN108090776A (en) | The update method and system of credit evaluation model, credit estimation method and system | |
| Liu et al. | Application of artificial intelligence technology in financial risk identification and management | |
| Luo et al. | Comprehensive Evaluation of Logistics Performance for Agricultural Products Distribution Center | |
| Xu et al. | Measurement methods and application research of triple Helix model in collaborative innovation management | |
| Qiubo et al. | Do ICTs boost agricultural productivity? | |
| CN111090654B (en) | Real-time data archiving system based on GIS | |
| Onochie et al. | Domestic investment and economic growth nexus in Nigeria: A post recession view | |
| Genovese et al. | The value chain approach to evaluate the economic impact of geographic information: Towards a new visual tool | |
| Nielsen et al. | The Power of Mapping Financial Services Data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| FGI | Letters patent sealed or granted (innovation patent) | ||
| MK22 | Patent ceased section 143a(d), or expired - non payment of renewal fee or expiry |