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Study On Future Climate Scenario And Their Relationships With Forest Vegetation Patterns In Northeast

Posted on:2012-12-14Degree:DoctorType:Dissertation
Country:ChinaCandidate:C D NiFull Text:PDF
GTID:1103330335973100Subject:Forest management
Abstract/Summary:PDF Full Text Request
Climate is one of the main factors to affect the Vegetation pattern, but also the main factors to affect vegetation adaptability and trees yield, so Its important to understanding of the relationship between climate and vegetation in formulation explicit effective forestry planning, species protection and species continuance. future climate scenario and Vegetation Pattern in the northeast of China were studied.Research mainly includes three parts:1) ClimateC software, ClimateC software, the establishment of a global climate model (GCM) forecast future large-scale global climate change, is the most important and most feasible method, can simulate the large-scale average of the most important features, but due to the current GCM output spatial resolution, regional climate scenarios difficult to forecast in detail. ClimateC software, its main function is greatly on the existing scale data conversion, in order to achieve the purpose of improving spatial resolution. For the location of any point, the specified longitude, latitude and elevation, to calculate the variables that point, the analysis verified. Through the adjustment of elevation to solve the problem of large temperature difference between multi-mountain. Calculate the effective scale-free climate data. The results show that changes in climate, elevation higher the value, the lower the temperature. Elevation of temperature is relatively large, less impact on precipitation. The temperature in Northeast China by 2080, showing an increasing trend. Annual precipitation in 2020 reduced the increase in 2050, but overall, downward trend in 2080.2) Vegetation pattern research stage, through the "3S" technology, according to the Chinese vegetation maps provided by the reality of larch trees remove vegetation information, its correction, vector, projection and other transformations:equidistant intervals along the boundary of the distribution 305 check points set up, namely, the theory of species distribution points, and accurately identify the points calculated longitude, latitude values, obtained by ClimateC software, climate and elevation of each point height values of the indicators, generated under the current climatic conditions The geographical distribution of species.3) The use of the geographical parameters of the same interval, through the Matlab software, the theory for the distribution of species boundaries and relationships between climate factors BP neural network modeling and simulation of the current theoretical distribution of larch. B2 ClimateC calculated according to context 2030, 2050,2080, climate data, built into the front of the BP neural network model, the simulation out of 2030,2050,2080, the geographical distribution of species changes in the map; the current climate larch forest under the conditions of the geographical distribution and the 2030, 2050,2080 Geographical Distribution of Larix overlay, generated under the influence of climate change, the change in geographic distribution of larch forest map. By SPSS software to assess climate change on the distribution area of larch. Known as climate change, with the horizontal distribution of Larix in Northeast will be the tendency, distribution of larch suitable area will be reduced.
Keywords/Search Tags:larch forest, climate change, BP neural network, vegetation pattern
PDF Full Text Request
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