Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract： 2020 is the final year to win the battle against poverty and to achieve the goal of building a moderately prosperous society in all aspects. China’s poverty alleviation is gradually transforming from a single dimension to multiple dimensions, from achieving phased goals to establishing long-term mechanisms, and from growth led by external driving forces to self-motivated approaches. Integrating the practices and theoretical development of food education at home and abroad, in 2018, the research team of food education of Chinese Academy of Sciences (CAS) took the lead in proposing “food education for poverty alleviation”. This model is consistent with major strategic goals such as Healthy China, Rural Revitalization, and Sustainable Development Goals, all of which can be effectively connected. Following the principle of “investigation first, scientific guidance, and practical exploration”, the research team of food education of CAS carries out the pilot work of food education for poverty alleviation in Kulun. The team explores practical applications on the basis of theories of food education for poverty alleviation while building a government-led, multi-agent, replicable, and extendable model. It can effectively improve the existing system of poverty alleviation and further consolidate the results of poverty alleviation. Faced with new problems and challenges in the new era, food education for poverty alleviation should gradually build a long-term mechanism with multi-participants. On the basis of the pilot work, we should continuously summarize the experience, improve the existing system, and gradually apply it to other areas.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-19 Cooperative journals: 《中国科学院院刊》
Abstract： Kulun County is aided specifically by Chinese Academy of Sciences (CAS) with scientific and technological measures. This study has reviewed the processes, work ways, and some achievements of poverty alleviation works in Kulun County, Inner Mongolia Autonomous Region, which has been carried out from 2013 to 2018 by a work-group of CAS. According to targeted-poverty alleviation program, the challenges and problems of scientific and technological assistance in Kulun County has been summarized. It is believed that to set up a development concept to poor farmers, to adopt a properly industry development for the County, and to combine the advantages of technological and personnel resources in CAS, are the fundamental ways to achieve the grand goal of building a sustainable development society and to get rid of lasting poverty for Kulun County.
Subjects: Geosciences >> Other Disciplines of Geosciences submitted time 2019-09-10 Cooperative journals: 《干旱区研究》
Abstract：为研究沙地植物幼苗生长对降水和风速变化的响应过程，于2016年4月中旬利用40个2 m×2 m×2 m的混凝土样方池，通过人工增雨及遮风网降低风速的方法开展模拟控制实验。结果表明：① 风速、降水以及两者的协同作用对萌发物种数无显著影响 (P>0.05)。风速降低20%和降水增加60%使种子萌发物种数与对照相比分别增加4.9%和1.3%；风速降低20%条件下，自然降水和降水增加60%均可使种子萌发物种数增加7.2%。② 不同降水处理会使植物幼苗密度大幅度降低、高度波动变化；风速降低可以较显著地促进沙地植物幼苗生长高度，特别是优势植物猪毛菜(Salsola collina)、大果虫实(Corispermum macrocarpum)的生长高度(P0.05)。以上研究结果表明：降水增加30%对种子萌发阶段物种丰富度的抑制作用较大；与降水相比，风速是沙地植物幼苗生长高度的主要影响因素，并且自然降水条件下，风速降低40%可以使沙地植物幼苗生长高度最大限度地增加；沙地植被物种多样性指数对降水及风速的变化不敏感，这说明科尔沁沙地生态系统群落结构相对较为稳定。
Subjects: Biology >> Botany >> Plant ecology, plant geography submitted time 2016-05-03
Abstract： Aims Forest carbon storage in Inner Mongolia plays a significant role in national terrestrial carbon budget due to its largest forest area in China. Our objectives were to estimate the carbon storage in the forest ecosystems in Inner Mongolia, and to reveal its spatial pattern. Methods In the study, field survey and sampling were conducted at 137 sites, which were nearly evenly distributed in most forest types in the study region. At each site, the ecosystem carbon density at each site was estimated thorough sampling and measuring pools of soil (0–100 cm) and vegetation, including biomass of tree, grass, shrub, and litter. Regional carbon storage was further calculated with the estimated carbon density for each forest type. Important findings Carbon storage of vegetation layer in forests in Inner Mongolia was 787.8 Tg C, with the biomass of tree, litter, herbaceous and shrub account for 93.5%, 3.0%, 2.7% and 0.8%, respectively. Carbon density of vegetation layer was 40.4 t?hm–2, with 35.6 t?hm–2 in trees, 2.9 t?hm–2 in litter, 1.2 t?hm–2 in herbaceous and 0.6 t?hm–2 in shrubs. In comparison, carbon storage of soil layer in forests in Inner Mongolia was 2449.6 Tg C, with 79.8% distributed in the first 30 cm. Carbon density of soil layer was 144.4 t?hm–2. Carbon storage of forest ecosystem in Inner Mongolia was 3237.4 Tg C, with vegetation and soil accounting for 24.3% and 75.7%, respectively. Carbon density of forest ecosystem in Inner Mongolia was 184.5 t?hm–2. Carbon density of soil layer was positively correlated with that of vegetation layer. Spatially, both carbon storage and carbon density were higher in the eastern area, where the climate is more humid. Forest reserve construction and artificial afforestation can significantly improve the capacity of regional carbon sink.
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