The Research Of Vegetation And Carbon Storage Changes In HeNan Province Based On NDVI

Land use/cover change is one of the core of the global change research, vegetation land cover isthe most important part of the inter-annual variation and seasonal variation, so the change to some extent,reflect the climate and land cover the characteristics of the change. Vegetation ecosystem is an importantpart of terrestrial ecosystems in the balance of biomass and carbon stocks a huge contribution to ecosystemcarbon storage of vegetation significance not only contribute to the global carbon cycle, and the right tomaintain and improve the ecological environment and forest management plays a vital role. With thedevelopment of remote sensing technology, the use of the image data by extraction and analysis ofvegetation indices to analyze vegetation changes more and more widely through the model-basedvegetation index to estimate vegetation carbon storage technologies are gaining in importance. Using theMODIS vegetation index products for free to all, quarter and annual NDVI data obtained by re-projectionand cutting the last ten years in Henan Province, Henan Province, vegetation distribution profiles throughyears of NDVI distribution; NDVI monthly changes quarter of change and inter-annual variation, analysisof the temporal and spatial variation of Henan Province, the vegetation of different regions and differenttypes of vegetation; Finally, the model Henan Province woodland in recent decades changes in carbonstocks discussed, and based on NDVI vegetation biomass estimates are as follows Conclusion:(1) Through years of NDVI mean distribution, Henan Province, vegetation cover is mainlyconcentrated in the south of Henan Province Tongbai and Dabie Mountains, Lots, and Henan Middle andSouth Africa and in western Henan province Funiu Mountain and Xiong’ershan lots, and2001-2010HenanProvince vegetation as a whole showed significant upward trend, rising rate0.05279/10years, summer and autumn is the season of the most significant upward trend. Changes in the monthly analysis, there were twopeaks within one year, August is the NDVI maximum value, the vegetation is most active. The trendanalysis method to analyze spatial patterns of vegetation change in Henan Province,61.76%of theprovince of vegetation did not change significantly,36.64%of the vegetation significantly improved, and1.60%of the vegetation degradation, Henan Province in general vegetation showing recovery growth trend,vegetation in good condition.(2) From different regions, the overall changes in area and Henan, are on the rise, including therising trend of western Henan Province, East of Henan Province, Henan, Middle and South Africasignificantly; but the south of Henan Province, Henan China and South Africa, the average monthly NDVIvalues generally higher than that of western Henan, northern regions, which is mainly caused bydifferences in climate; different regions of significant seasonal variation is also inconsistent, in westernHenan province summer and autumn rose significantly, in northern regions in winter upward trendsignificantly, East of Henan Province in summer and winter significant trend, the Central South region inautumn change significantly, south of Henan Province in spring and autumn rose significantly.(3) The annual average NDVI of the different types of vegetation on the rise, the annual averageNDVI of the various types of vegetation are more than0.4, and the grass <arable <deciduous broad-leavedshrub <evergreen coniferous forest <deciduous broad-leaved forest <often green broad-leaved forest;different types of vegetation in the average monthly NDVI changes is mainly reflected in the NDVI peak,where arable land manifested as a bimodal form of other types are single peak; from the spatial distributionof point of view, the overall vegetation cover improve based, which significantly improved the proportionof area,36.89%, much higher than the1.26%of the degradation, where the grass to improve the proportionof. (4) In Henan Province in the past decade biomass estimates and found that the total overallincrease biomass and carbon stocks of forest area to show a growth trend, but the biomass and carbonstorage density mean ups and downs; the specific combination of elevation, temperature, precipitation, thearea of deforestation for analysis, the following results: carbon density increases gradually with increasingaltitude, but when about to reach1300m carbon density decreases with increasing altitude temperature andprecipitation; decades of carbon density change has little effect, but with significant regional studiesindicate that changes in temperature and carbon density of more than a negative correlation, this is becausethe woodland is mainly grown in water areas with better temperature for water but limit the vegetationgrowth, thereby reducing the carbon sequestration capacity of vegetation, precipitation and carbon densityof more than a positive correlation; matrix transfer analysis focusing on the use of forest land classificationmaps for nearly a decade, access to the area of deforestation changes, found that although the woodlandarea is growing, but it brings The benefits far unable to make up for losses caused by deforestation on thecarbon stocks.