Decision management system for forest sustainable operation process

Abstract

The invention discloses a decision management system for a forest sustainable operation process, and the system comprises a forest current situation information obtaining module which is used for obtaining forest resource zoning information, and is also used for obtaining the forest current situation information of a land parcel in a full life cycle; a capital accounting module; a GEP evaluation module; the data verification module is connected with the forest current situation information acquisition module, the capital accounting module, the GEP evaluation module and the forest life cycle stage modeling module; the calculation module is used for calculating carbon reserves and carbon sequestration rates of different management measures on the forest and formulating an influence mechanism of the carbon sink potential; a storage module; the forest life cycle stage modeling module is used for establishing sub-models of the forest in each stage of different life cycles; the full-stage evaluation module is used for establishing a full-stage evaluation model; and the sustainable operation process decision-making module is connected with the storage module and is used for establishing a decision-making model. The forest sustainable operation process can be decided in combination with the emission information and the carbon sequestration and sink increase information.

Description

Technical Field

[0001] The invention patent relates to the technical field of decision-making management for the sustainable forest management process, and specifically to a decision-making management system for the sustainable forest management process. Background Art

[0002] GHG refers to gases that enter the atmosphere due to natural or artificial production, can absorb and release heat, and contribute to the greenhouse effect. The main GHGs in the atmosphere include water vapor (H2O), carbon dioxide (CO2), nitrous oxide (N2O), methane (CH4) and ozone (O3). In addition, there are many GHGs in the atmosphere that are only produced by human activities, such as halocarbons and other chlorine- and bromine-containing substances mentioned in the Montreal Protocol. In addition to CO2, N2O and CH4, the six GHGs controlled in the Kyoto Protocol also involve GHGs such as hydrofluorocarbons (HFCs), perfluorocarbons (PFCs) and sulfur hexafluoride (SF6). In terms of reducing GHG emissions, the main approach is to adopt comprehensive economic and fiscal policies, including: voluntary agreements, carbon taxes or energy taxes, emission trading plans, emission trading, renewable energy or cogeneration production quotas, as well as regulations and standards on energy efficiency and emissions, and financial incentives for the use of renewable energy, such as preferential rates, grants, tax exemptions, etc. As a result of these political and legislative initiatives both domestically and abroad, more and more companies or products are being required to track and report their GHG emissions. When this activity energy consumption and emissions tracking and reporting is done for an entire forest, the task is daunting.

[0003] Since forest carbon capture rates, carbon allocation fractions, and carbon stocking characteristics determine forest growth, development, and renewal, they directly affect the quality and health of the entire forest. Climate change, forest management, local topography, microclimate characteristics, and soil physical and chemical conditions essentially affect the carbon balance of the entire forest ecosystem by affecting forest carbon-water coupling, carbon allocation and utilization, and carbon fixation turnover, and changing the structure of forest carbon sink components. So far, a variety of forest structure optimization models have been constructed at home and abroad, but these models do not contain management changes, microclimate, and microtopography factors, that is, they assume that forest structure does not change with local climate. However, in actual situations, forest structure is very sensitive to management and climate, and small-intensity climate change may also affect forest structure changes and even damage the entire forest ecosystem. Therefore, it is very important to study the impact of management, microtopography, and microclimate changes on forest structure in mountainous and hilly areas and formulate corresponding structural regulation plans to reduce negative impacts and enhance the ability of forests to adapt to local changes. To this end, how to explore the forest carbon sequestration characteristic pattern and carbon sink potential improvement under the management and microtopography change model is a basic research that needs to be solved in forest management under the current industrial development form.

[0004] Therefore, in order to ensure sustainable forest management, there is an urgent need for a decision-making and management system for the sustainable forest management process, which can combine emission information and carbon sequestration information to make decisions on the sustainable forest management process. Summary of the invention

[0005] In view of the problems in the prior art, the present invention provides a decision-making and management system for the sustainable forest management process, which can make decisions on the sustainable forest management process by combining emission information and carbon fixation and sink information.

[0006] To achieve the above-mentioned purpose, the present invention provides a decision-making management system for the sustainable forest management process, comprising:

[0007] A forest status information acquisition module is used to acquire forest resource zoning information; the forest resource zoning information includes plot information and attributes; and is also used to acquire forest status information of a plot in the entire life cycle;

[0008] A capital accounting module, connected to the forest status information acquisition module, is used to perform capital value accounting on each of the multiple assets in the designated plot to obtain capital accounting information;

[0009] The GEP evaluation module is connected to the forest status information acquisition module to perform GEP accounting on the designated plots and obtain GEP accounting information;

[0010] The data verification module is connected with the forest status information acquisition module, the capital accounting module, the GEP evaluation module, and the forest life cycle stage modeling module; it is used to obtain the forest status information obtained by the forest status information acquisition module, obtain the capital accounting information obtained by the capital accounting module, obtain the GEP accounting information obtained by the GEP evaluation module, verify the above information and transmit the verified data to the forest life cycle stage modeling module;

[0011] A calculation module, connected to the data verification module, is used to calculate the carbon storage and carbon fixation rate of the forest under different management measures, and to formulate an impact mechanism of carbon sink potential; the impact mechanism can obtain the carbon storage and target carbon fixation rate of the target plot, and the calculation module sends the carbon storage, carbon fixation rate, carbon storage of the target plot, and target carbon fixation rate to the forest life cycle stage modeling module;

[0012] The storage module is connected to the computing module and is used to store, delete, modify, and query the carbon storage of the target plot, the target carbon fixation rate, and the decision on sustainable forest management;

[0013] The forest life cycle stage modeling module establishes sub-models of forests at different stages of their life cycle based on the data verified by the data verification module, the carbon storage, carbon fixation rate, target plot carbon storage, and target carbon fixation rate obtained by the calculation module; the sub-models can output stage evaluation data for the stage in which they are located;

[0014] A full-stage evaluation module, used to establish a full-stage evaluation model based on the stage evaluation data of each stage of the forest life cycle obtained by the sub-models of each stage of the forest life cycle; the full-stage evaluation model can output the full-stage evaluation data;

[0015] The sustainable management process decision module is connected to the storage module and is used to establish a decision model. The stage evaluation data obtained by the full-stage evaluation module and the full-stage evaluation data are imported into the decision model to obtain the forest sustainable management decision corresponding to the storage module and then output.

[0016] Furthermore, the forest status information includes at least regional ecosystem product production and service supply information, asset information, water, soil, air and biological indicators, ecosystem service status, carbon sink indicators, emission information, and activity energy consumption information.

[0017] Furthermore, the emission information includes at least GHG emission information, forest emission information, topdressing emission information, tending emission information, wood production emission information, tillage preparation emission information and transportation emission information.

[0018] Further, the GHG emission information at least includes actual greenhouse gas emission information of each of the plurality of assets.

[0019] Furthermore, the energy consumption information of the activities includes at least activities of breeding and propagation of improved varieties, logging, harvesting, transportation, processing and distribution of forest products.

[0020] Furthermore, forests are divided into the full life cycle of the same forest age and the full life cycle of different forest ages at different stages of their life cycle. The full life cycle of the same forest age includes seedlings, saplings, young forests, middle-aged forests, near-mature forests, mature forests and over-mature forests; the full life cycle of different forest ages includes the community establishment stage, competitive growth stage, quality selection stage, near-natural forest stage, and natural permanent forest stage.

[0021] Furthermore, the data verification module includes a quantity verification module, a type verification module, and a logic verification module; the information obtained by the data verification module is verified according to the quantity verification module, the type verification module, and the logic verification module respectively.

[0022] Furthermore, the quantity verification module is used to formulate the target information quantity according to the plot information and attributes. If the total quantity obtained by the data verification module is inconsistent with the target information quantity, a signal is sent to the forest status information acquisition module to re-acquire all the information.

[0023] Furthermore, the type verification module is used to pre-store standard types and standard formats of information, and if the corresponding information type or format received does not match the standard type and standard format, it sends a signal to the forest status information acquisition module to re-acquire the information.

[0024] Furthermore, the logic verification module is used to pre-store the formula and range followed by the values ​​of some information. If the corresponding information received does not follow the formula or is not within the specified range according to calculation, the forest status information acquisition module sends a signal to re-acquire all related information.

[0025] A decision-making management method for sustainable forest management process includes the following steps:

[0026] Step 1. Obtain forest resource zoning information; the forest resource zoning information includes plot information and attributes;

[0027] Step 2. Obtain forest status information of the plots throughout the life cycle;

[0028] Step 3. Perform capital value accounting on each of the multiple assets in the designated plot to obtain capital accounting information; at the same time, perform GEP accounting on the designated plot to obtain GEP accounting information;

[0029] Step 4. Verify the information from Step 1 to Step 3 and perform the next step for all the information that has passed the verification. For information that has partially or completely failed the verification, re-acquire part or all of the information according to Step 1 to Step 3;

[0030] Step 5. Calculate the carbon storage and carbon sequestration rate of forests under different management measures, and develop an impact mechanism for carbon sink potential; the impact mechanism can obtain the carbon storage and target carbon sequestration rate of the target plot;

[0031] Step 6. Establish sub-models of forests at different stages of their life cycle based on the data verified in step 4, the carbon storage, carbon sequestration rate, target plot carbon storage, and target carbon sequestration rate obtained in step 5; the sub-models can output stage evaluation data for the stage in which they are located;

[0032] Step 7. Establish a full-stage evaluation model based on the stage evaluation data of each stage of the forest life cycle obtained by the sub-models of each stage of the forest life cycle; the full-stage evaluation model can output the full-stage evaluation data;

[0033] Step 8. Establish a decision-making model, import the stage evaluation data obtained from the full-stage evaluation module and the full-stage evaluation data into the decision-making model to obtain the corresponding forest sustainable management decision and then output it.

[0034] The present invention has the following advantages:

[0035] 1. The present invention effectively monitors sustainable forest management and makes sustainable management decisions through information on energy consumption and carbon emission costs in the forest industry. The "plot" data collected and uniformly managed by the present invention can better reflect the production and management activities of the forest, and enable the actions taken to improve the inventory of forest products to be reflected in the data, thus achieving precise regulation.

[0036] 2. The present invention adopts a computational framework that improves the effectiveness and efficiency of data collection in life cycle assessment. Life cycle assessment (LCA) is the main technology for evaluating the environmental impact of products throughout their life cycle and currently plays a decisive role in the field of environmental management. This technology is highly data intensive and is virtually impossible without the use of background unit process data sets provided by life cycle inventory (LCI) databases. A typical product life cycle contains thousands of unit processes, each of which needs to be described by exchange data. Although the increased availability of LCI databases has greatly reduced the amount of work involved in conducting LCA, the high costs associated with data collection still impose significant limitations on the quality of LCA. These limitations either take the form of uncertain or incomplete background data that must be collected and maintained with great effort, or they represent activities that are highly dependent on the environment, such as forestry afforestation implementation operations, in too general a manner. The present invention is a novel solution for establishing a full-stage evaluation model by using the stage evaluation data of each stage of the forest life cycle obtained through the sub-models of each stage of the forest life cycle, and ultimately obtains forest sustainable management decisions through the decision-making model, allowing the automatic, site-specific (regionalized) generation and evaluation of forest life cycle data sets from cradle to gate, thereby improving the efficiency and effectiveness of LCA data collection. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 This is a block diagram of the working principle of a decision-making management system for a sustainable forest management process according to the first embodiment of the present invention.

[0038] Figure 2 This is a flow chart of a decision-making management method for a sustainable forest management process according to a second embodiment of the present invention. DETAILED DESCRIPTION

[0039] The features of the present invention are further described below by implementing examples. The implementation examples are only used to explain the present invention and are not used to limit the scope of the present invention.

[0040] Embodiment 1:

[0041] like Figure 1 As shown, a decision-making management system for a sustainable forest management process of this embodiment includes:

[0042] The forest status information acquisition module is used to obtain forest resource zoning information. Forest resource zoning information includes plot information and attributes; it is also used to obtain forest status information of plots throughout the entire life cycle; forest status information at least includes regional ecosystem product production and service supply information, asset information, water, soil and air indicators, ecosystem service status, carbon sink indicators, emission information, and activity energy consumption information. Emission information at least includes GHG emission information, forest emission information, topdressing emission information, tending emission information, timber production emission information, preparation for ploughing emission information, and transportation emission information. GHG emission information at least includes actual greenhouse gas emission information for each of multiple assets. Activity energy consumption information at least includes improved variety selection and breeding activities, forest product felling, harvesting, transportation, processing, and distribution.

[0043] The capital accounting module is connected to the forest status information acquisition module and is used to perform capital value accounting on each of the multiple assets in the designated plot to obtain capital accounting information.

[0044] The GEP evaluation module is connected to the forest status information acquisition module and is used to perform GEP accounting on the designated plots of land to obtain GEP accounting information.

[0045] The data verification module is connected with the forest status information acquisition module, the capital accounting module, the GEP evaluation module, and the forest life cycle stage modeling module; it is used to obtain the forest status information obtained by the forest status information acquisition module, the capital accounting information obtained by the capital accounting module, and the GEP accounting information obtained by the GEP evaluation module, verify the above information and transmit the verified data to the forest life cycle stage modeling module; the data verification module includes a quantity verification module, a type verification module, and a logic verification module; the information obtained by the data verification module is verified according to the quantity verification module, the type verification module, and the logic verification module. The quantity verification module is used to set the target information quantity according to the plot information and attributes. If the total quantity obtained by the data verification module is inconsistent with the target information quantity, a signal is sent to the forest status information acquisition module to re-acquire all the information. The type verification module is used to pre-store the standard type and standard format of the information. If the corresponding information type or format received does not match the standard type and standard format, a signal is sent to the forest status information acquisition module to re-acquire the information. The logic verification module is used to pre-store the formula and range followed by the values ​​of some information. If the corresponding information received does not follow the formula or is not within the specified range according to calculation, the forest status information acquisition module sends a signal to re-acquire all related information.

[0046] The calculation module is connected to the data verification module to calculate the carbon storage and carbon fixation rate of different management measures on the forest, and to formulate the impact mechanism of carbon sink potential. The impact mechanism can obtain the carbon storage and target carbon fixation rate of the target plot. The calculation module sends the carbon storage, carbon fixation rate, carbon storage of the target plot, and target carbon fixation rate to the forest life cycle stage modeling module.

[0047] The storage module is connected to the computing module and is used to store, delete, modify, and query the carbon reserves of target plots, target carbon fixation rates, and sustainable forest management decisions.

[0048] The forest life cycle stage modeling module establishes sub-models of forests at different life cycle stages based on the data verified by the data verification module, the carbon storage, carbon fixation rate, target plot carbon storage, and target carbon fixation rate obtained by the calculation module. The sub-model can output the stage evaluation data of the stage it is in; the forest is divided into the full life cycle of the same forest age and the full life cycle of different forest ages at different life cycle stages. The full life cycle of the same forest age includes seedlings, saplings, young forests, middle-aged forests, near-mature forests, mature forests, and over-mature forests; the full life cycle of different forest ages includes the group establishment stage, competitive growth stage, quality selection stage, near-natural forest stage, and natural persistent forest stage.

[0049] The full-stage evaluation module is used to establish a full-stage evaluation model based on the stage evaluation data of each stage of the forest life cycle obtained by the sub-models of each stage of the forest life cycle. The full-stage evaluation model can output full-stage evaluation data.

[0050] The sustainable management process decision module is connected to the storage module and is used to establish a decision model. The stage evaluation data obtained by the full-stage evaluation module and the full-stage evaluation data are imported into the decision model to obtain the forest sustainable management decision corresponding to the storage module and then output.

[0051] Embodiment 2:

[0052] like Figure 2 As shown, a decision-making management method for a sustainable forest management process according to an embodiment of the present invention comprises the following steps:

[0053] Step 1. Obtain forest resource zoning information. Forest resource zoning information includes plot information and attributes.

[0054] Step 2. Obtain forest status information of the plot throughout its life cycle.

[0055] Step 3. Perform capital value accounting on each of the multiple assets in the designated plot of land to obtain capital accounting information; at the same time, perform GEP accounting on the designated plot of land to obtain GEP accounting information.

[0056] Step 4. Verify the information of Steps 1 to 3 and perform the next step operation for the information that has passed all the verification. For the information that has failed part or all of the verification, re-acquire part or all of it according to Steps 1 to 3.

[0057] Step 5. Calculate the carbon storage and carbon sequestration rate of different management measures on the forest, and formulate the impact mechanism of carbon sink potential. The impact mechanism can obtain the carbon storage and target carbon sequestration rate of the target plot.

[0058] Step 6. Establish sub-models for forests at different stages of their life cycle based on the data verified in step 4, the carbon storage, carbon sequestration rate, target plot carbon storage, and target carbon sequestration rate obtained in step 5. The sub-model can output stage evaluation data for the stage in which it is located.

[0059] Step 7. Establish a full-stage evaluation model based on the stage evaluation data of each stage of the forest life cycle obtained by the sub-models of each stage of the forest life cycle. The full-stage evaluation model can output full-stage evaluation data.

[0060] Step 8. According to the stage evaluation data obtained by the full-stage evaluation module and the full-stage evaluation data, the decision model is imported to obtain the corresponding forest sustainable management decision and then output.

[0061] The invention is not limited to the above-mentioned embodiments. It should be pointed out that ordinary technicians in this technical field can make several improvements and modifications without departing from the technical principles of the invention. These improvements and modifications should also be regarded as the protection scope of the invention.

Claims

1. A decision-making management system for sustainable forest management process, characterized in that: include: A forest status information acquisition module is used to acquire forest resource zoning information; the forest resource zoning information includes plot information and attributes; and is also used to acquire forest status information of a plot in the entire life cycle; A capital accounting module, connected to the forest status information acquisition module, is used to perform capital value accounting on each of the multiple assets in the designated plot to obtain capital accounting information; The GEP evaluation module is connected to the forest status information acquisition module to perform GEP accounting on the designated plots and obtain GEP accounting information; The data verification module is connected with the forest status information acquisition module, the capital accounting module, the GEP evaluation module, and the forest life cycle stage modeling module; it is used to obtain the forest status information obtained by the forest status information acquisition module, obtain the capital accounting information obtained by the capital accounting module, obtain the GEP accounting information obtained by the GEP evaluation module, verify the above information and transmit the verified data to the forest life cycle stage modeling module; A calculation module, connected to the data verification module, is used to calculate the carbon storage and carbon fixation rate of the forest under different management measures, and to formulate an impact mechanism of carbon sink potential; the impact mechanism can obtain the carbon storage and target carbon fixation rate of the target plot, and the calculation module sends the carbon storage, carbon fixation rate, carbon storage of the target plot, and target carbon fixation rate to the forest life cycle stage modeling module; The storage module is connected to the computing module and is used to store, delete, modify, and query the carbon storage of the target plot, the target carbon fixation rate, and the decision on sustainable forest management; The forest life cycle stage modeling module establishes sub-models of forests at different stages of their life cycle based on the data verified by the data verification module, the carbon storage, carbon fixation rate, target plot carbon storage, and target carbon fixation rate obtained by the calculation module; the sub-models can output stage evaluation data for the stage in which they are located; A full-stage evaluation module, used to establish a full-stage evaluation model based on the stage evaluation data of each stage of the forest life cycle obtained by the sub-models of each stage of the forest life cycle; the full-stage evaluation model can output the full-stage evaluation data; The sustainable management process decision module is connected to the storage module and is used to establish a decision model. The stage evaluation data obtained by the full-stage evaluation module and the full-stage evaluation data are imported into the decision model to obtain the forest sustainable management decision corresponding to the storage module and then output.

2. A decision-making management system for sustainable forest management process according to claim 1, characterized in that: The forest status information includes at least regional ecosystem product production and service supply information, asset information, water, soil, air and biological indicators, ecosystem service status, carbon sink indicators, emission information, and activity energy consumption information.

3. A decision-making management system for sustainable forest management process according to claim 2, characterized in that: The emission information shall at least include GHG emission information, forest emission information, topdressing emission information, tending emission information, wood production emission information, tillage preparation emission information and transportation emission information.

4. A decision-making management system for sustainable forest management process according to claim 3, characterized in that: The GHG emission information includes at least actual greenhouse gas emission information for each of the plurality of assets.

5. The decision-making management system for sustainable forest management process according to claim 2, characterized in that: The energy consumption information of the activities includes at least the activities of breeding and propagation of improved varieties, logging, harvesting, transportation, processing and distribution of forest products.

6. The decision-making management system for sustainable forest management process according to claim 1, characterized in that: Forests are divided into the full life cycle of the same forest age and the full life cycle of different forest ages in different stages of their life cycle. The full life cycle of the same forest age includes seedlings, saplings, young forests, middle-aged forests, near-mature forests, mature forests and over-mature forests; the full life cycle of different forest ages includes the community establishment stage, competitive growth stage, quality selection stage, near-natural forest stage, and natural permanent forest stage.

7. The decision-making management system for sustainable forest management process according to claim 1 is characterized in that: The data verification module includes a quantity verification module, a type verification module, and a logic verification module; the information obtained by the data verification module is verified according to the quantity verification module, the type verification module, and the logic verification module respectively.

8. The decision-making management system for sustainable forest management process according to claim 7, characterized in that: The quantity verification module is used to formulate the target information quantity according to the plot information and attributes. If the total quantity obtained by the data verification module is inconsistent with the target information quantity, a signal is sent to the forest status information acquisition module to re-acquire all the information.

9. The decision-making management system for sustainable forest management process according to claim 7, characterized in that: The type verification module is used to pre-store standard types and standard formats of information, and if the corresponding information type or format received does not match the standard type and standard format, it sends a signal to the forest status information acquisition module to re-acquire the information.

10. The decision-making management system for sustainable forest management process according to claim 7, characterized in that: The logic verification module is used to pre-store the formula and range followed by the values ​​of some information. If the corresponding information received does not follow the formula or is not within the specified range according to calculation, the forest status information acquisition module sends a signal to re-acquire all related information.

11. A decision-making management method for sustainable forest management process, comprising the following steps: Step 1. Obtain forest resource zoning information; the forest resource zoning information includes plot information and attributes; Step 2. Obtain forest status information of the plots throughout the entire life cycle; Step 3. Perform capital value accounting on each of the multiple assets in the designated plot to obtain capital accounting information; at the same time, perform GEP accounting on the designated plot to obtain GEP accounting information; Step 4. Verify the information from Step 1 to Step 3 and perform the next step for all the information that has passed the verification. For information that has partially or completely failed the verification, re-acquire part or all of the information according to Step 1 to Step 3; Step 5. Calculate the carbon storage and carbon sequestration rate of forests under different management measures, and develop an impact mechanism for carbon sink potential; the impact mechanism can obtain the carbon storage and target carbon sequestration rate of the target plot; Step 6. Establish sub-models of forests at different stages of their life cycle based on the data verified in step 4, the carbon storage, carbon sequestration rate, target plot carbon storage, and target carbon sequestration rate obtained in step 5; the sub-models can output stage evaluation data for the stage in which they are located; Step 7. Establish a full-stage evaluation model based on the stage evaluation data of each stage of the forest life cycle obtained by the sub-models of each stage of the forest life cycle; the full-stage evaluation model can output the full-stage evaluation data; Step 8. Establish a decision-making model, import the stage evaluation data obtained from the full-stage evaluation module and the full-stage evaluation data into the decision-making model to obtain the corresponding forest sustainable management decision and then output it.

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