CN111353628A - Method for researching standard growth index of Chinese leading tree species - Google Patents
Method for researching standard growth index of Chinese leading tree species Download PDFInfo
- Publication number
- CN111353628A CN111353628A CN201811580219.8A CN201811580219A CN111353628A CN 111353628 A CN111353628 A CN 111353628A CN 201811580219 A CN201811580219 A CN 201811580219A CN 111353628 A CN111353628 A CN 111353628A
- Authority
- CN
- China
- Prior art keywords
- growth
- tree species
- tree
- china
- diameter
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 10
- 230000001133 acceleration Effects 0.000 claims abstract description 17
- 210000000038 chest Anatomy 0.000 claims description 10
- 210000000481 breast Anatomy 0.000 claims description 8
- 238000013178 mathematical model Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 3
- 239000002028 Biomass Substances 0.000 abstract description 3
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 abstract description 2
- 229910052799 carbon Inorganic materials 0.000 abstract description 2
- 239000002689 soil Substances 0.000 abstract description 2
- 238000007726 management method Methods 0.000 description 7
- 238000011161 development Methods 0.000 description 2
- 238000004140 cleaning Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000011160 research Methods 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/84—Greenhouse gas [GHG] management systems
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Animal Husbandry (AREA)
- Life Sciences & Earth Sciences (AREA)
- Agronomy & Crop Science (AREA)
- Mining & Mineral Resources (AREA)
- General Health & Medical Sciences (AREA)
- Marine Sciences & Fisheries (AREA)
- Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a method for researching and establishing standard growth indexes of Chinese leading tree species. In order to further accurately predict the growth condition of trees, the breast-height growth model of trees is researched, meanwhile, the influences of landforms, terrains and soil conditions of different sample plots, the longitude and latitude, the altitude, the air temperature and the rainfall are considered, 7000 fixed sample plot data of the country are utilized, more than 2000 kinds of trees in China are summarized into 180 tree species, the tree species are further summarized into 57 tree species groups, the growth conditions of different tree species are researched, the specific growth conditions are subdivided into growth speeds and growth accelerations, and the breast-height growth speeds and acceleration indexes of the 57 tree species (groups) are obtained. The method lays a foundation for changing a large amount of field observation into accurate prediction in China and combining a small amount of field observation and constructing a measuring system of biomass and carbon sink in China.
Description
One, the technical field
The invention relates to a method for researching and establishing standard growth indexes of Chinese leading tree species, in particular to a technical method for researching and establishing standard growth indexes of Chinese main arbor tree species.
Second, technical background
China has a very rich diversity ecosystem, and the forest vegetation occupies 69.5 percent of the total biomass of the China land ecosystem, so the forest plays a leading role in the China land ecosystem. However, at present, China is still a China with few green forest shortage and fragile ecology, the forest coverage rate is far lower than the average level of 31% of the world, the area of the maner-uniform forest is only 1/4 of the maner-uniform level of the world, the maner-uniform forest is only 1/7 of the maner-uniform level of the world, the conditions of insufficient forest resource total amount, low quality and uneven distribution are not changed fundamentally, and the new requirements of economic society development and new expectations of people are difficult to meet. In the face of a series of complex problems of forest resource investigation in China, the combination of modern mathematical technology and computer technology is urgently needed to establish a forest tree growth model, so that forest resource data processing becomes simpler and more definite. The breast-height diameter growth function is an important component of a forest arbor model, and simulates the growth condition of an arbor in a forest. Arbor chest diameter growth can be predicted by a mixed effect diameter growth model that contains both fixed effect parameters for all trees in the sample and random effects specific to each arbor. When these random effects are calculated using measurements from a particular arbor, the model is considered to be calibrated for that arbor, and the result is a more accurate prediction of the future diameter of that arbor. The invention summarizes more than 2000 kinds of trees in China into 180 tree species, further summarizes the tree species into 57 tree species groups, explores the growth conditions of different tree species, and subdivides the specific growth conditions into growth speed and growth acceleration.
Third, the invention
In order to further accurately predict the growth condition of trees, when a tree breast-height diameter growth model is researched, the influences of landforms, terrains and soil conditions of different sample plots and the influences of longitude, latitude, altitude, air temperature and rainfall of different regions are considered, 7000 fixed sample plot data in China are utilized, more than 2000 kinds of trees in China are summarized into 180 tree species which are further summarized into 57 tree species groups, the growth conditions of the different tree species are researched, the specific growth conditions are subdivided into growth speeds and growth accelerations, and the breast-height diameter growth speeds and acceleration indexes of the 57 tree species (groups) are obtained.
The main invention content is as follows:
① passing through 7000 times of sample plots in China, basic data of latitude and longitude, altitude, average air temperature and rainfall;
② A standard growth index model of chest diameter of Chinese leading arbor tree is developed;
③ 57 dominant tree species (groups) are determined by the growth speed and acceleration of the 5-year breast diameter.
The invention has the following advantages:
(1) the Chinese leading arbor growth model has great practical significance on forest precise management and planning management, quantitative management of forest resources and prediction and estimation of forest growth amount can better realize management and management such as tending, thinning, felling, replanting, transplanting and the like under different forest stand conditions, and can realize sustainable development of forest resources and obtain higher economic value benefit.
(2) A large amount of field observation in China is changed into accurate prediction by using the model and a small amount of field observation is combined, and a foundation is laid for constructing a measuring system for biomass and carbon sink in China.
Description of the drawings
The invention will be further explained with reference to the attached drawings and tables
FIG. 1 shows the specific result size of the growth index of the leading arbor species in China;
fifth, detailed description of the invention
The research on the growth of the Chinese dominant arbor aims to predict the accuracy and precision of the growth of the Chinese forest, and the specific implementation method is as follows:
(1) according to specific forest resource conditions in the country, complex information data such as site environment, geographic position and the like are subjected to standardized processing through 7000 sample plot 3-stage survey data, and a breast-height growth model of the Chinese leading arbor is developed by combining 57 leading arbor tree groups in the country.
(2) A mathematical model is established, and the mathematical model is established,
wherein j is the leading arbor species of China, YtIs the investigated Tree information, Δ Y(t+k)Is the predicted growth after k years; a. thejIs the growth rate coefficient of j tree species, bjIs the growth acceleration coefficient of j tree species; xP (i)Is the i growth region structural index, XS (k)Is the k growth structure index.
(3) The future chest diameter growth speed and acceleration of any arbor species (group) can be obtained according to a formula, the chest diameter growth quantity of the trees is estimated, and the future chest diameter size value is obtained.
(4) Suppose that the diameter at breast height of a certain tree j at the current time t is YtThe growth rate is A, the growth acceleration is b, and the zone structure index X isPGrowth structure index of XSThe growth rate of the diameter at breast height within k years is
The diameter at breast height after k years is Yt+k＝Yt+ΔYt+kIn the invention, k is a continuous cleaning time interval of 5 years, and the growth speed and acceleration of each tree species (group) are also the growth speed and acceleration of the breast diameter of 5 years, thereby providing reasonable and effective basis for forest management and management.
Claims (2)
1. A method for researching and establishing standard growth indexes of Chinese leading tree species is characterized by comprising the following steps: by using 7000 fixed sample plot data in China, more than 2000 kinds of trees in China are summarized into 180 tree species and further into 57 tree species (groups), the growth conditions of different tree species are researched, the specific growth conditions are subdivided into growth speeds and growth accelerations, and the breast diameter growth speeds and acceleration indexes of the 57 tree species (groups) are obtained.
2. The method for developing the standard growth index of the Chinese dominant tree species according to claim 1, which aims to predict the accuracy and precision of the forest growth in China, and is characterized in that: the specific implementation method comprises the following steps:
(1) according to specific forest resource conditions in the country, through 7000 sample plots of first-class survey data in 3-stage, complex information data such as site environment, geographic positions and the like are subjected to standardized processing, and a breast-height diameter growth model of the Chinese leading arbor is developed by combining 57 leading arbor tree groups in the country;
(2) a mathematical model is established, and the mathematical model is established,
wherein j is the leading arbor species of China, YtIs the investigated Tree information, Δ Y(t+k)Is the predicted growth after k years; a. thejIs the growth rate coefficient of j tree species, bjIs the growth acceleration coefficient of j tree species; xP (i)Is the i growth region structural index, XS (k)Is the kth growth structure index;
(3) the future chest diameter growth speed and acceleration of any arbor tree species (group) can be obtained according to a formula, and the chest diameter growth quantity in k years is calculated as
The diameter at breast height after k years is Yt+k＝Yt+ΔYt+kWherein Y istAssuming that the diameter at the current t moment of a certain tree j is the diameter at the breast height, the growth speed is A, the growth acceleration is b, and the index X of the structure of the location where the certain tree j is locatedPGrowth structure index of XS；
(4) According to the future chest diameter growth speed and acceleration of the arbor tree species (group) obtained by the formula, the chest diameter growth amount prediction is realized for any target tree species, the future chest diameter value is obtained, and a reasonable and effective basis is provided for forest management and management.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811580219.8A CN111353628A (en) | 2018-12-24 | 2018-12-24 | Method for researching standard growth index of Chinese leading tree species |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811580219.8A CN111353628A (en) | 2018-12-24 | 2018-12-24 | Method for researching standard growth index of Chinese leading tree species |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111353628A true CN111353628A (en) | 2020-06-30 |
Family
ID=71191924
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811580219.8A Pending CN111353628A (en) | 2018-12-24 | 2018-12-24 | Method for researching standard growth index of Chinese leading tree species |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111353628A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114303903A (en) * | 2021-11-04 | 2022-04-12 | 绿城建设管理集团有限公司 | Arbor root soil humidity control system and method |
| CN114970119A (en) * | 2022-05-09 | 2022-08-30 | 山东高速云南发展有限公司 | Method for predicting carbon sink amount of trees in strip-shaped area |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100158314A1 (en) * | 2008-12-24 | 2010-06-24 | Weyerhaeuser Company | Method and apparatus for monitoring tree growth |
| CN104867180A (en) * | 2015-05-28 | 2015-08-26 | 南京林业大学 | UAV and LiDAR integrated forest stand characteristic inversion method |
| CN105303299A (en) * | 2015-10-12 | 2016-02-03 | 北京林业大学 | Method for determining forest growth model |
-
2018
- 2018-12-24 CN CN201811580219.8A patent/CN111353628A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100158314A1 (en) * | 2008-12-24 | 2010-06-24 | Weyerhaeuser Company | Method and apparatus for monitoring tree growth |
| CN104867180A (en) * | 2015-05-28 | 2015-08-26 | 南京林业大学 | UAV and LiDAR integrated forest stand characteristic inversion method |
| CN105303299A (en) * | 2015-10-12 | 2016-02-03 | 北京林业大学 | Method for determining forest growth model |
Non-Patent Citations (3)
| Title |
|---|
| 冯仲科 等: "创建新一代森林资源调查监测技术体系的实践与探索", 《林业资源管理》 * |
| 周晏平 等: "病虫害对沙地樟子松树高生长的影响", 《干旱区研究》 * |
| 张海平 等: "基于气象因子的白桦天然林单木直径生长模型", 《应用生态学报》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114303903A (en) * | 2021-11-04 | 2022-04-12 | 绿城建设管理集团有限公司 | Arbor root soil humidity control system and method |
| CN114970119A (en) * | 2022-05-09 | 2022-08-30 | 山东高速云南发展有限公司 | Method for predicting carbon sink amount of trees in strip-shaped area |
| CN114970119B (en) * | 2022-05-09 | 2023-04-18 | 山东高速云南发展有限公司 | Tree carbon pooling prediction method in banded region |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Sang | Plant diversity patterns and their relationships with soil and climatic factors along an altitudinal gradient in the middle Tianshan Mountain area, Xinjiang, China | |
| Buttler et al. | Experimental warming interacts with soil moisture to discriminate plant responses in an ombrotrophic peatland | |
| CN107688906B (en) | Multi-method fused transmission line meteorological element downscaling analysis system and method | |
| CN111353628A (en) | Method for researching standard growth index of Chinese leading tree species | |
| CN110334404A (en) | A kind of rapid dry accurate recognition methods of drought of Watershed Scale | |
| CN105493858A (en) | Method for performing long-term monitoring of dynamic change of sand vegetation diversity in western mining areas | |
| Duan et al. | Soil organic carbon stocks in the Yunnan Plateau, southwest China: spatial variations and environmental controls | |
| CN113591288A (en) | Soil humidity data prediction method and device based on kriging interpolation | |
| CN104392113B (en) | A kind of evaluation method of COASTAL SURFACE cold reactive antibodies wind speed | |
| CN107578125A (en) | Morocco's siphonopods fishing ground forecasting procedure based on the different weight marine environment factors | |
| CN107063210A (en) | The mapping method of project is renovated in a kind of reallocation of land | |
| CN111738494A (en) | Camptotheca acuminata distribution prediction method based on MaxEnt and ArcGIS | |
| CN112287507B (en) | Method for developing relationship between rainfall and growth index of Chinese dominant tree species | |
| Li et al. | Study on Ecological and Environmental Suitability of Tourism Resources Development In Lijiang River Basin of Guilin, China | |
| Bonetto et al. | Groundwater distribution and fluoride content in the West Arsi Zone of the Oromia Region (Ethiopia) | |
| Foken et al. | Description of the Waldstein measuring site | |
| Kong et al. | Minimum sampling area for the monitoring of herb diversity in riparian zone of temperate rivers, China | |
| CN105955934A (en) | Method for solving sea surface wind speed through linear weighting of multiple frequency detection channels | |
| Temovski | Ice caves in FYR of Macedonia | |
| CN115204547B (en) | Hilly mountain area cultivated land mechanized determination method based on high-resolution remote sensing image | |
| CN108537417A (en) | A kind of surface air temperature method of quality control based on cokriging | |
| Tang et al. | Glaciological and Meteorological Conditions at the Chinese Taishan Station, East Antarctica | |
| Tatsuhara et al. | Predicting the spatial distribution of major species composition in secondary hardwood forests on Mt. Gozu, central Japan, based on environmental factors | |
| Chen et al. | Eucalyptus Productivity Increase in China Comes From Newly Afforested Plantations | |
| Xie | Analysis of Spatial and Temporal Changes of Impervious Surface in Guilin Based on CLCD |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200630 |