rangeland
1.STUDY OF THE BIOMASS DYNAMICS OF THE FOUR MAIN RANGELAND TYPES IN HULUNBER
2.BODY WEIGHT DETERMINATION OF LUOXINZANG EWE BREED ON APLINE RANGELAND AREAS AT COLD SEASONAL STAGE
3.Study on Biomass, Nutrients of Dominant Species and Trends of the Rumen Degradability in Old World Bluestem Shrub Rangeland
4.The specific methods is safekeeping rangeland, safekeeping riverside using plant cover and stockade, resuming plant cover postmining goldmine.
5.Study on Nutrients of Dominant Species of Forage and Dynamics of the Rumen Degradability in Old World Bluestem Shrub Rangeland
6.This research contributes and sets out with the contribution of the grass and the serious degradation and desertified current situation of meadow in our country, analyses the necessity and urgency of the reparation for balancing rangeland ecology, and on this basis, puts forward the theoretical foundation, principle and corresponding policy recommendations of the mechanism of reparation for rangeland ecology balance.
7.Data of representative grassland ecology during 1987-2004 and meteorological data during 1961-2004 were used in analysis of rangeland eco-environment change situation in water head region and Qinghai lake region, integrated to satellite remote sensing and social investigation data.
8.Taken the northern slopes of the Tianshan Mountains as the research area, the multi-source remote sensing data were applied to investigate and classify in rangeland resources types based on supervised classification method (MLC) combined with "3S" technical platform.
9.The banded improved-pasture of highslop was conducted, and fertilizer on the surface with broadcasting, the tests consisted of 4 treatments: N90fertilizer, P60fertilizer, N90+P60 fertilizer and CK, studying the effects of different fertilizing on the Old World bluestem rangeland.
10.Analysed from the classification images and check-up result of multi-source RS data, the conclusion are as follows: Whether in plain, partly middle-mountain, sub-alp or alp region, ETM+ can discern and classification well, the accurate rate of classified types can reach 73.79%~86.43%, but in lower-mountain and mostly middle-mountain it is difficult to classify the rangeland resources type.
