Food security has been long understudied in the context of Central Asia.We present an analysis examining household-level food demand for Tajikistan and assessing the magnitude of its food security changes during the C...Food security has been long understudied in the context of Central Asia.We present an analysis examining household-level food demand for Tajikistan and assessing the magnitude of its food security changes during the COVID-19 pandemic.Based on an extensive household survey data set from Tajikistan,we estimate the expenditure,income,and price elasticities for nine food categories using the QUAIDS model.Then,we develop a microsimulation model using the estimated elasticities to assess the dual impact of declining remittance income and rising food prices stemming from the pandemic shock.There are significant differences in demand elasticities across food groups,with high elasticities observed for nutritious foods,such as meat,fruit,eggs,and milk,in rural households.Moreover,our findings show that changes in remittance income and food prices significantly negatively affected food security for rural households during the COVID-19 pandemic.These findings have important implications for policymakers concerned about rural livelihoods and food security in remittance-receiving economies during the post-pandemic period.展开更多
The development strategy, focused on the promotion of the efficient and prospective production sectors required for effectively solving social, economic and other problems becomes very important in resource allocation...The development strategy, focused on the promotion of the efficient and prospective production sectors required for effectively solving social, economic and other problems becomes very important in resource allocation decision making process of developing countries. The structural hierarchy, comprising social, economic, technological and environmental aspects, which is involved in the selection of sectors constructed according to the hierarchical system of objectives. The Fuzzy Multi-attribute Decision Making method is used to rank the sectors by indicating the degree to which an alternative satisfies the global objectives of criteria obtained by aggregation operations in fuzzy environment. By applying the developed approach to defining and identifying the key sectors of an economy, we can rank the aggregated 17 sectors of the Tajikistan economy according to their degree of achievement in satisfying key criteria.展开更多
Danghara,a major food production area in southern Tajikistan,is currently suffering from the impact of rapid climate change and intensive human activities.Assessing the future impact of climate change on crop water re...Danghara,a major food production area in southern Tajikistan,is currently suffering from the impact of rapid climate change and intensive human activities.Assessing the future impact of climate change on crop water requirements(CWRs)for the current growing period and defining the optimal sowing date to reduce future crop water demand are essential for local/regional water and food planning.Therefore,this study attempted to analyze possible future climate change effects on the water requirements of major crops using the statistical downscaling method in the Danghara District to simulate the future temperature and precipitation for two future periods(2021-2050 and 2051-2080),under three representative concentration pathways(RCP2.6,RCP4.5,and RCP8.5)according to the CanESM2 global climate model.The water footprint(WFP)of major crops was calculated as a measure of their CWRs.The increased projection of precipitation and temperature probably caused an increase in the main crop’s WFP for the current growing period,which was mainly due to the green water(GW)component in the long term and a decrease in the blue water(BW)component during the second future period,except for cotton,where all components were predicted to remain stable.Under three scenarios for the two future potato and winter wheat decreased from 5.7%to 4.8%and 3.4%to 2.2%,respectively.Although the WFP of cotton demonstrated a stable increase,according to the optimal sowing date,adecrease in irrigation demand or Bw was expected.The results of our study might be useful fordeveloping a new strategy related to irrigation systems and could help to find a balance betweenwater and food for environmental water demands and human use.展开更多
We want to talk about the geohazards in Pamir mountains,in Tajikistan,using different materials and researches about it.Also we are trying to look deeply into this problem,and want to research how about
The avifauna in Tajikistan has been widely studied for the last century,but specific work on species richness pattern along elevation gradients in Tajikistan is rarely investigated.Here,we reported the first study of ...The avifauna in Tajikistan has been widely studied for the last century,but specific work on species richness pattern along elevation gradients in Tajikistan is rarely investigated.Here,we reported the first study of bird species richness(BSR)in the high-altitude mountain systems(Tien Shan and Pamir-Alay)of Tajikistan which are very sensitive to the recent climate changes.We aim to explore the relationship of BSR pattern with elevation gradient and to determine the potential drivers underlying the patterns.We collected occurrence data from field surveys,published articles,and open access websites to compile a list of bird species along elevational gradients across the whole country.The BSR was counted by 100 m elevational bands ranging from 294 m to 5146 m.The patterns of BSR were calculated separately for five groups:all breeding birds,Passeriformes,Non-Passeriformes,large elevational range species,and small elevational range species.We calculated ecological and climatic factors of planimetric area,mid-domain effect(MDE),habitat heterogeneity(HH),mean annual temperature(MAT),temperature annual range(TAR),annual precipitation(AP),normalized difference vegetation index(NDVI),human influence index(HII),and human disturbance(HD)in each elevational band.A combination of polynomial regression,Pearson’s correlation,and general least squares model analyses were used to test the effects of these factors on the BSR.A unimodal distribution pattern with a peak at 750-1950 m was observed for all breeding birds.The similar pattern was explored for Passeriformes and Non-Passeriformes,while species with different elevational range sizes had different shapes and peak elevations.For all the breeding birds and Passeriformes,BSR was significantly related to spatial,climate and human influence factors,while BSR of Non-Passeriformes positively correlated with all the given factors.First,second and fourth range classes of birds were significantly correlated with human influence factors.Moreover,large-ranged species had positive correlations with the middomain effect and weakly with habitat heterogeneity.We found that area,MAT and AP were the main factors to explain the richness pattern of birds,and the species richness increases with these three factors increasing.Multiple factors such as area and climate explain 84%of the variation in richness.Bivariate and multiple regression analyses revealed a consistent influence of spatial and climate factors in shaping the richness pattern for nearly all bird groups.展开更多
The delegation led by SAC Vice-Administrator Yin Minghan visited the standardization bodies in Tajikistan and Kyrgyzstan from July19 to 26,2017.The delegation exchanged views on standardization cooperation under the B...The delegation led by SAC Vice-Administrator Yin Minghan visited the standardization bodies in Tajikistan and Kyrgyzstan from July19 to 26,2017.The delegation exchanged views on standardization cooperation under the Belt and Road Initiative with the standardization leaders and experts in Tajikistan and Kyrgyzstan,and made a survey on the international production capacity cooperation projects展开更多
Major chemical elements and Rb, Sr, Ba abundances were measured for loess samples from Chashmanigar loess-soil sequence in southern Tajikistan. And the degree of element loss and intensity of weathering of the samples...Major chemical elements and Rb, Sr, Ba abundances were measured for loess samples from Chashmanigar loess-soil sequence in southern Tajikistan. And the degree of element loss and intensity of weathering of the samples were calculated. From these calculations we found that the paleosol horizons of the Chashmanigar section were chemically weathered to some extent and the weathering intensity of the soils is stronger than that of loess horizons, indicating that paleosols in southern Tajikistan were deposited in relatively warm and humid interglacial ages. In addition, the southern Tajikistan loess deposited before 0.9Ma BP was more intensely weathered than that deposited after 0.9Ma BP, which may imply the intensification of aridity in this area since 0.9Ma BP.展开更多
The article provides new data on the butterfly fauna of the Peter the Great Mountain range, especially the first reports of the analysis of the quantitative accounts on the number of butterflies. However, the presente...The article provides new data on the butterfly fauna of the Peter the Great Mountain range, especially the first reports of the analysis of the quantitative accounts on the number of butterflies. However, the presented species in the work （51 species） is not the final, as not all parts of the mountain ran^ze were visited.展开更多
基金the National Natural Science Foundation of China(71961147001)the Agricultural Science and Technology Innovation Project of the Chinese Academy of Agricultural Sciences(10-IAED-04-2023)。
文摘Food security has been long understudied in the context of Central Asia.We present an analysis examining household-level food demand for Tajikistan and assessing the magnitude of its food security changes during the COVID-19 pandemic.Based on an extensive household survey data set from Tajikistan,we estimate the expenditure,income,and price elasticities for nine food categories using the QUAIDS model.Then,we develop a microsimulation model using the estimated elasticities to assess the dual impact of declining remittance income and rising food prices stemming from the pandemic shock.There are significant differences in demand elasticities across food groups,with high elasticities observed for nutritious foods,such as meat,fruit,eggs,and milk,in rural households.Moreover,our findings show that changes in remittance income and food prices significantly negatively affected food security for rural households during the COVID-19 pandemic.These findings have important implications for policymakers concerned about rural livelihoods and food security in remittance-receiving economies during the post-pandemic period.
文摘The development strategy, focused on the promotion of the efficient and prospective production sectors required for effectively solving social, economic and other problems becomes very important in resource allocation decision making process of developing countries. The structural hierarchy, comprising social, economic, technological and environmental aspects, which is involved in the selection of sectors constructed according to the hierarchical system of objectives. The Fuzzy Multi-attribute Decision Making method is used to rank the sectors by indicating the degree to which an alternative satisfies the global objectives of criteria obtained by aggregation operations in fuzzy environment. By applying the developed approach to defining and identifying the key sectors of an economy, we can rank the aggregated 17 sectors of the Tajikistan economy according to their degree of achievement in satisfying key criteria.
基金supported by the National Natural Science Foundation of China(41761144079)the State's Key Project of Researchand Development Plan(2017YFC404501)+4 种基金the CAS Interdisplinary Imnnovation Team(JCTD201920)the Strategic Priority Research Program of the Chinese Academy of Sciences,the Pan-Third Pole Environment Study for a Green Silk Road(XDA20060303)the International Partneship Program of the Chinese Aademy of Sciences(131551KYSB20160002)the CAS Research Center for Ecologyand Environment of Central Asia(Y934031)the Regional Collaborative Innovation Project of Xinjiang Uygur Autonomous Region(2020E01010).
文摘Danghara,a major food production area in southern Tajikistan,is currently suffering from the impact of rapid climate change and intensive human activities.Assessing the future impact of climate change on crop water requirements(CWRs)for the current growing period and defining the optimal sowing date to reduce future crop water demand are essential for local/regional water and food planning.Therefore,this study attempted to analyze possible future climate change effects on the water requirements of major crops using the statistical downscaling method in the Danghara District to simulate the future temperature and precipitation for two future periods(2021-2050 and 2051-2080),under three representative concentration pathways(RCP2.6,RCP4.5,and RCP8.5)according to the CanESM2 global climate model.The water footprint(WFP)of major crops was calculated as a measure of their CWRs.The increased projection of precipitation and temperature probably caused an increase in the main crop’s WFP for the current growing period,which was mainly due to the green water(GW)component in the long term and a decrease in the blue water(BW)component during the second future period,except for cotton,where all components were predicted to remain stable.Under three scenarios for the two future potato and winter wheat decreased from 5.7%to 4.8%and 3.4%to 2.2%,respectively.Although the WFP of cotton demonstrated a stable increase,according to the optimal sowing date,adecrease in irrigation demand or Bw was expected.The results of our study might be useful fordeveloping a new strategy related to irrigation systems and could help to find a balance betweenwater and food for environmental water demands and human use.
文摘We want to talk about the geohazards in Pamir mountains,in Tajikistan,using different materials and researches about it.Also we are trying to look deeply into this problem,and want to research how about
基金funded by the National Science and Technology Major Project(2018ZX10101004)the Key Collaborative Research Program of the Alliance of International Science Organizations(ANSO-CR-KP-2020-04)Strategic Priority Research Program of the Chinese Academy of Sciences(XDA19050202)。
文摘The avifauna in Tajikistan has been widely studied for the last century,but specific work on species richness pattern along elevation gradients in Tajikistan is rarely investigated.Here,we reported the first study of bird species richness(BSR)in the high-altitude mountain systems(Tien Shan and Pamir-Alay)of Tajikistan which are very sensitive to the recent climate changes.We aim to explore the relationship of BSR pattern with elevation gradient and to determine the potential drivers underlying the patterns.We collected occurrence data from field surveys,published articles,and open access websites to compile a list of bird species along elevational gradients across the whole country.The BSR was counted by 100 m elevational bands ranging from 294 m to 5146 m.The patterns of BSR were calculated separately for five groups:all breeding birds,Passeriformes,Non-Passeriformes,large elevational range species,and small elevational range species.We calculated ecological and climatic factors of planimetric area,mid-domain effect(MDE),habitat heterogeneity(HH),mean annual temperature(MAT),temperature annual range(TAR),annual precipitation(AP),normalized difference vegetation index(NDVI),human influence index(HII),and human disturbance(HD)in each elevational band.A combination of polynomial regression,Pearson’s correlation,and general least squares model analyses were used to test the effects of these factors on the BSR.A unimodal distribution pattern with a peak at 750-1950 m was observed for all breeding birds.The similar pattern was explored for Passeriformes and Non-Passeriformes,while species with different elevational range sizes had different shapes and peak elevations.For all the breeding birds and Passeriformes,BSR was significantly related to spatial,climate and human influence factors,while BSR of Non-Passeriformes positively correlated with all the given factors.First,second and fourth range classes of birds were significantly correlated with human influence factors.Moreover,large-ranged species had positive correlations with the middomain effect and weakly with habitat heterogeneity.We found that area,MAT and AP were the main factors to explain the richness pattern of birds,and the species richness increases with these three factors increasing.Multiple factors such as area and climate explain 84%of the variation in richness.Bivariate and multiple regression analyses revealed a consistent influence of spatial and climate factors in shaping the richness pattern for nearly all bird groups.
文摘The delegation led by SAC Vice-Administrator Yin Minghan visited the standardization bodies in Tajikistan and Kyrgyzstan from July19 to 26,2017.The delegation exchanged views on standardization cooperation under the Belt and Road Initiative with the standardization leaders and experts in Tajikistan and Kyrgyzstan,and made a survey on the international production capacity cooperation projects
基金the National Natural Science Foundation of China(Grant Nos.4880231,40202016)Innovation Program of CAS(Grant No.KZCX2-108).
文摘Major chemical elements and Rb, Sr, Ba abundances were measured for loess samples from Chashmanigar loess-soil sequence in southern Tajikistan. And the degree of element loss and intensity of weathering of the samples were calculated. From these calculations we found that the paleosol horizons of the Chashmanigar section were chemically weathered to some extent and the weathering intensity of the soils is stronger than that of loess horizons, indicating that paleosols in southern Tajikistan were deposited in relatively warm and humid interglacial ages. In addition, the southern Tajikistan loess deposited before 0.9Ma BP was more intensely weathered than that deposited after 0.9Ma BP, which may imply the intensification of aridity in this area since 0.9Ma BP.
基金supported by the Minister of Science and Technology of the People’s Republic of China(2015DFR30790)the External Cooperation Program of BIC,Chinese Academy of Sciences(GJHZ201311)
文摘The article provides new data on the butterfly fauna of the Peter the Great Mountain range, especially the first reports of the analysis of the quantitative accounts on the number of butterflies. However, the presented species in the work （51 species） is not the final, as not all parts of the mountain ran^ze were visited.
