Altay Prefecture plays a vital role as an ecological barrier in Northwest China.Studying the ecosystem service value is of great significance for promoting regional green high-quality development and maintaining ecolo...Altay Prefecture plays a vital role as an ecological barrier in Northwest China.Studying the ecosystem service value is of great significance for promoting regional green high-quality development and maintaining ecological security.Based on Global ESA land cover data from 2000 to 2015,the trade-off and synergy relationships and driving force factors between ecosystem services in Altay Prefecture were analyzed in this study.The analysis produced four main results.(1)The ecosystem service value in Altay Prefecture continued to increase from 113.521×10^(9) yuan in 2000 to 115.777×10^(9) yuan in 2015,for an increase of about 1.98%.(2)The distribution of ecosystem service value had obvious spatial agglomeration characteristics,with hot spot areas mainly concentrated in the"two rivers and one lake"and the mountainous areas in the northwest,while the cold spot areas were mainly the forest and grass-covered areas in the northern mountainous areas and within Jimunai County.(3)The trade-off and synergy relationship among ecosystem services was mainly synergistic,with a total of 77.78% of ecosystem service relative relationships showing a significant positive correlation at the 0.01 level.(4)Economic factors and industrial structure are important factors affecting ecosystem service value in Altay Prefecture.Ecosystem service value is positively correlated with per capita GDP and the output value of the tertiary industry,but negatively correlated with the output value of the secondary industry.展开更多
Schistosomiasis is a serious public health problem in the middle-lower Yangtze River Basin in China. Study of spatial variation of snail distribution that is related to microgeographic factors can help to choose perti...Schistosomiasis is a serious public health problem in the middle-lower Yangtze River Basin in China. Study of spatial variation of snail distribution that is related to microgeographic factors can help to choose pertinent measures for snail extinguishment and environment rebuilding. This paper studied the theoretical architecture of weights-of-evidence approach. The case study was made for spatial relation between the occurrence of infected snails and geographic factor combinations in Waijiazhou marshland of Poyang Lake region in China. The multievidence data came from the geographical factor combinations by crossing operation of vegetation coverage grade layer, cattle route distance grade layer, and special environment layer (181 combinations in total) in GIS. The calculation of weight contrast index shows that high vegetation coverage, cattle route distance of <45 meters, and special geographic factor "ground depression" had direct spatial relation with the occurrence of infected snails. The verification by crossing operation in GIS indicated 72.45% of the infected snails concentrated on the areas of positive weight contrast index (sequenced in an order of weight contrast index from high to low), demonstrating the high efficiency of the model established in finding infected snails according to the geographic factor combinations that can be explicitly discerned in the study area.展开更多
基金The National Natural Science Foundation of China(41871196)The Scientific Research Project in Altay Prefecture,Xinjiang Uygur Autonomous Region of China(2019-529)。
文摘Altay Prefecture plays a vital role as an ecological barrier in Northwest China.Studying the ecosystem service value is of great significance for promoting regional green high-quality development and maintaining ecological security.Based on Global ESA land cover data from 2000 to 2015,the trade-off and synergy relationships and driving force factors between ecosystem services in Altay Prefecture were analyzed in this study.The analysis produced four main results.(1)The ecosystem service value in Altay Prefecture continued to increase from 113.521×10^(9) yuan in 2000 to 115.777×10^(9) yuan in 2015,for an increase of about 1.98%.(2)The distribution of ecosystem service value had obvious spatial agglomeration characteristics,with hot spot areas mainly concentrated in the"two rivers and one lake"and the mountainous areas in the northwest,while the cold spot areas were mainly the forest and grass-covered areas in the northern mountainous areas and within Jimunai County.(3)The trade-off and synergy relationship among ecosystem services was mainly synergistic,with a total of 77.78% of ecosystem service relative relationships showing a significant positive correlation at the 0.01 level.(4)Economic factors and industrial structure are important factors affecting ecosystem service value in Altay Prefecture.Ecosystem service value is positively correlated with per capita GDP and the output value of the tertiary industry,but negatively correlated with the output value of the secondary industry.
基金Supported by a the National Natural Science Fundation of China (No. 30590370)the Research Project "Spatial Simulation of Schistosomiasis Susceptible Areas in the Poyang Lake Region" Sponsored by Science Research Plan 2007 of Jiangxi Normal University (Natural Science Category)
文摘Schistosomiasis is a serious public health problem in the middle-lower Yangtze River Basin in China. Study of spatial variation of snail distribution that is related to microgeographic factors can help to choose pertinent measures for snail extinguishment and environment rebuilding. This paper studied the theoretical architecture of weights-of-evidence approach. The case study was made for spatial relation between the occurrence of infected snails and geographic factor combinations in Waijiazhou marshland of Poyang Lake region in China. The multievidence data came from the geographical factor combinations by crossing operation of vegetation coverage grade layer, cattle route distance grade layer, and special environment layer (181 combinations in total) in GIS. The calculation of weight contrast index shows that high vegetation coverage, cattle route distance of <45 meters, and special geographic factor "ground depression" had direct spatial relation with the occurrence of infected snails. The verification by crossing operation in GIS indicated 72.45% of the infected snails concentrated on the areas of positive weight contrast index (sequenced in an order of weight contrast index from high to low), demonstrating the high efficiency of the model established in finding infected snails according to the geographic factor combinations that can be explicitly discerned in the study area.
