Subjects: Statistics >> Social Statistics submitted time 2024-03-27 Cooperative journals: 《中国科学院院刊》
LI Ming
LIU Qin
WANG Yukuan1 CUI Peng
GAO Xing
DI Baofeng
LIU Jinfeng
QI Shengwen
CHEN Rong
TAN Chunping
XU Mengzhen6 SUN Hao
ZHANG Jianqiang
CHEN Jiangang
ZOU Qiang
Abstract： China is a mountainous country, with hills, mountains, and plateaus cover about two-thirds of its total land area. The vast area, huge population, rich natural resources, and great potential of development in mountain areas make them the most important “rear garden” supporting the sustainable development of the whole country. Nevertheless, China’s mountain areas are also prone to various kinds of natural disasters, and thus formed a scenario of high overlap between the high-risk zone of natural disasters and the lagging zone of social and economic development. And such scenario has caused significant waste of various related inputs, and becoming a key obstacle to the goal of modernization for mountain areas in sync with other regions by 2035. Based on a systematic analysis of main challenges faced by disaster risk reduction and green development in mountain areas, the study innovates the “Disaster –Environment–Human” green synergy theory based on the human and environment harmonization theory. After that, a novel synergy mode of disaster risk reduction and green development is proposed, and its synergy mechanisms, main synergy paths, and various synergy technologies are analyzed. The synergy theory and mode were applied in a demonstration zone named Reshui River basin located in Xide County, Liangshan Yi Autonomous Prefecture, Sichuan Province, the first demonstration zone of the synergy mode of disaster risk reduction and green development in China. Finally, the feasibility and the specific paths of promoting the synergism mode are analyzed in mountain areas nationwide. This study can not only guide the consolidation of poverty alleviation achievements, promote the practice of rural revitalization strategy, but also help to improve the capability of comprehensive governance and promote the modernization progress in mountain areas of China.
Subjects: Biology >> Ecology submitted time 2018-05-29 Cooperative journals: 《生态学报》
Abstract：林盘是成都平原广泛分布的一种复合生态系统，属于极具地方特色的文化和生态资源，并作为传统的乡村聚落单元，提供重要的生态服务价值。识别林盘植物的种类和分布特征，有利于深刻揭示林盘生态服务的形成和变化机制，为林盘保护及改造提供科学建议。采用小型无人机航拍与实地调查相结合的方法，分析不同区域、类型林盘植物组成与分布特征，结果表明：（1）林盘的形态较规则，规模不大（平均面积为6678.87 m2），植被覆盖度43.5%-76.9%，植物、房屋以及其他组成要素相互融合。（2）林盘内维管束植物合计106科254属310种，其中本地种236种，占总数76.13%，国内引进种35种，占总数11.29%，世界引进种39种，占总数的12.58%。（3）植物属的区系分布以北温带成分（22.31%）和泛热带成分（16.12%）为主，热带亚热带分布和温带分布比例较为接近。（4）从分布特征来看，远郊区林盘的植物种类最多（P P P < 0.05）。
Subjects: Biology >> Ecology submitted time 2018-05-18 Cooperative journals: 《生态学报》
Abstract：为了探明气候变化对长江中下游地区冬小麦潜在产量的影响，基于政府间气候变化专门委员会（IPCC） AR5提出的BCC-CSM1-1（Beijing Climate Center Climate System Model version1-1）气候系统模式输出的基于典型浓度RCP各情景（基准时段baseline、RCP 2.6、RCP 4.5和RCP 8.5）主要气象要素的逐日模拟数据和历史观测数据。通过DSSAT模型模拟历史时期（2001-2009年）冬小麦的物候期和产量，并计算模拟数据与实测数据二者的均方根误差和一致性指数（开花、成熟期和产量模拟结果的相对均方差根误差分别在0.83%-2.98%之间和7%以下，符合度D均接近于1）明确最优遗传参数，应用最优参数模拟加以验证，完成模型参数区域化。结合历史阶段（1961-1990年）和未来时期（2021-2050年）主要气象要素变化趋势，利用DSSAT模型模拟分析未来30年长江中下游地区气候变化对小麦产量的影响及变化趋势，以期为未来作物生产提供理论依据。结果表明，DSSAT-CERES-Wheat品种遗传参数本地化后能准确模拟冬小麦的生长发育过程及产量潜力。较基准年相比，2021-2050年RCP情景下，冬小麦生育期内≥10℃积温除RCP 2.6情景外呈现逐渐增加趋势，增加幅度为RCP 8.5 > RCP 2.6 > RCP 4.5；降水量年际波动都比较大，区域性差异明显；太阳总辐射量较基准年均有所降低，但降低的幅度随着年份的增加逐渐减小，变化率均呈现显著或极显著的增加趋势。除昆山外冬小麦开花期、成熟期较基准年均有所提前，开花期到成熟期天数则随之缩短。仅考虑气候条件时，长江中下游地区冬小麦产量潜力与基准年减少，昆山、英山下降幅度较滁州、钟祥大（3%-59%），且区域差异明显。分析可得，一定范围内冬小麦产量随积温的增加逐渐增加，超过一定阈值时则逐渐减少，其他气候因子增加或减少并不能弥补积温过低产生的负效应。
Hits
Hits
Downloads
Comment