Multi-object approach and its application to adaptive water management under climate change

This paper addresses issues on adaptive water management under the impact of climate change. Based on a set of comprehensive indicators of water system, a decision making approach of multi-objects is developed and applied to quantify water adaptive management for the demands of water sustainable use, water environmental protection and eco-water requirement under the climate change. For this study in China, two key indicators are proposed, namely (1) the water resources vulnerability (V) that was represented by integrated sensitivity (S) and resilience (C) of climate change impact on water resources, and (2) the sustainability of socio-economy and water environment, marked by DD, that is integrated scaler of socio-economic development (EG) based on the amount of GDP and the water environment and relative eco-system quality (LI). To find a reasonable solution for adaptive water management, a multi-objective decision making model of adaptive water management is further developed and the multi-objective model was transformed into an integrated single optimization model through developing an integrated measure function, called as VDD=DD/V. This approach has been applied to adaptive water resources planning and management for case study of China with new policy, called as the strict management of water resources based on three red line controls, i.e., the control of total water use by the total water resources allocation, the control of lower water use efficiency by the water demand management and the control of the total waste water load by water quality management in the Eastern China Monsoon Region that covers major eight big river basins including Yangtze River, Yellow River, Haihe River and Huaihe River. It is shown that the synthetic representation of water resource vulnerability and socio-economic sustainability by the integrated objective function (VDD) and integrated decision making model are workable and practicable. Adaptive management effect of the criterion compliance rate and water use efficiency are more appreciable through new water policy of the three red line controls, which can reduce 21.3% of the water resources vulnerability (V) and increase 18.4% of the sustainability of socioeconomy and water environment (DD) for the unfavorable scenario of climate change in 2030.     

Ten Years of GIAHS Development in Japan

Approximately ten years have passed since Globally Important Agricultural Heritage Systems (GIAHS) was introduced to Japan in 2011, with 11 GIAHS sites designated so far. The Japan Nationally Important Agricultural Heritage Systems (J-NIAHS), which considers resilience, multi-stakeholder participation and sixth industrialization, was subsequently established in 2016, and has designated 15 J-NIAHS sites. GIAHS sites can be classified into three major types: Landscape, farming method, and genetic resource conservation types, and most Japanese GIAHS sites are of the landscape type. Since there is almost no national subsidy for GIAHS or J-NIAHS, designated sites are expected to secure funding for conservation from their own efforts. For this reason, a voluntary network of the Japanese GIAHS sites has been active in promoting cooperation on GIAHS conservation. The priorities of the Japanese GIAHS have focused on raising public awareness about GIAHS and J-NIAHS, improving livelihoods, as well as fostering the international exchange of experience and knowledge regarding Agricultural Heritage Systems, especially among Japan, China and Korea.     

行为地理学的学科定位与前沿方向

始自行为革命,行为地理学逐渐走向多元化的发展方向,不断扩展自身的理论框架和实践外延,反思并重新认识自身的意义,成为了人文地理学的重要组成部分。伴随着社会经济转型的深入,世界越来越向着多样化、个体性、动态化发展,人们的空间行为决策、选择的差异与个性越来越明显,空间与行为的交互越来越强,为行为地理学带来了新的发展机遇。论文通过梳理行为地理学的学科基础,提出行为地理学的学科定位与内涵外延,并指出行为地理学已经呈现出面向动态人地关系、面向个体生活质量及面向社会可持续发展3个前沿发展方向。在此基础上,论文对行为地理学面临的方法论、研究方法与跨学科的挑战进行讨论,并展望行为地理学的未来发展,以期为中国行为地理学的理论创新与实践探索提供启示。     

青藏高原东部样带农牧民生计的多样化

随着草地退化和药材资源减少,青藏高原东部农牧民的生计受到了严重影响.农牧民如何利用生计资产实现生计多样化是该区域可持续发展面临的关键问题.实地调查采用PRA法,结合调查结果调整了生计资产评估指标,从样带尺度定量分析了高原东部高山峡谷区、山原区和高原区农牧民的生计资产现状、生计多样化特点和今后的生计策略.结果表明:①生计多样化是农牧民普遍采用的生计策略.高山峡谷区农牧民生计多样化水平较高,从事二三产业较多,普遍寻求发展型生计.而随着海拔升高,农牧民的生计多样化水平降低,从事的生计活动类型减少,发展型生计的比例也降低;②海拔较低的高山峡谷区和山原区,生计资产总值高,而海拔越高的高原区,生计资产总值较低,主要反映在人力资产和自然资产上;③居民所拥有的生计资产与生计多样化水平高度正相关;④农牧民近期仍基于生计资产改善生计策略;⑤高山峡谷区和山原区农牧民寻求发展型生计为高原区牧民提供了很好的借鉴.建议政府围绕生计多样化的制约因素进行投入,以提高牧民的能力,协助高原区牧民建立发展型生计.     

城市可持续发展度及其相态的量化分析

文章在对城市系统发展度、协调度、持续度以及它们相互关系的分析基础上，提出城市可持续发展度的计算公式，并根据城市可持续发展度以及城市发展度、协调度和持续度的整合状态，对城市可持续发展的各种相态进行分析。为识别和评价城市可持续发展提供基础。     

青藏高原东部山地农牧区生计与耕地利用模式

This study examined livelihood diversification and cropland use pattern in Keerma village, located in Jinchuan County, eastern Tibetan Plateau. Through stratified random sampling survey, participatory rural appraisal, investigation of households＇ plots and statistical methods, 63 households and 272 cropland plots were systemically investigated and sampled. The results show： （1） Different types of household have variety livelihood strategies, portfolio and income. Livelihood diversification and introducing and expanding off-farm activities can be the future trend, whereas, adverse natural environment, socio-economic conditions and peasants＇ capabilities together affect sustainable livelihood and land use. （2） Each livelihood strategy has its own impact on land use, mainly affecting land use type and land use intensi- fication level. （3） Diversification into off-farm activities could be the key of building sustainable livelihood and the essential approach of realizing sustainable land use in the region.     

秦岭北麓水资源可持续开发利用分析

水资源的开发利用与保护,关乎民生,关乎经济社会的可持续发展。论述了秦岭北麓水资源作为基础性自然资源及战略性经济资源的重要性。讨论了秦岭北麓水资源开发、利用、保护之间的关系及其重要性。结果表明：秦岭北麓对于关中地区而言就是一座巨大的绿色水库,其水资源保护的关键在于以保护为前提的适度开发,地表水-地下水统筹利用,建立地下水库及水资源补偿机制,加强水资源战略研究。     

空间玻尔兹曼熵的研究进展与应用

区域性、综合性、复杂性是新时代地理学的三大特征,其中复杂性研究是地理学飞跃的新路径.熵作为系统复杂性的核心指标,其研究、推广和应用对新时代的地理学有着重要意义.近年来地理学中熵的研究热点为玻尔兹曼熵(玻熵).玻熵的概念最早提出于1872年,是著名的热力学第二定律的核心,但玻熵在地学的应用长期停滞在探讨层面.其瓶颈在于缺...     

Financial expansion and CO2 mitigation in top twenty emitters: Investigating the direct and moderating effects of the digital economy

The top twenty carbon-emitting nations contribute around 80% to global CO₂ emissions. The transformation of business operations, products, and services through establishing a digital economy (DGE) might help these nations to accomplish Sustainable Development Goals (SDGs) and carbon neutrality. However, digitalization poses certain direct and indirect effects on the environment, and also emissions and digitalization levels vary across nations. Further, the decoupling of economic growth and emissions makes it very challenging to reduce emissions without decreasing economic growth. Against this background, this research assesses the impacts of DGE and financial expansion (FE) on emissions in the top twenty emitters by considering the direct effect of DGE as well as its indirect effects through economic growth. The newly proposed method of moment quantile regressions (MM-QR) is adopted to unveil the associations between variables by accounting for distributional and heterogeneous variations in variables from 2003 to 2019. The novel findings demonstrate that DGE significantly boosts emissions. However, the indirect effects of DGE on emissions through economic growth reduce emissions and thereby, stimulate environmental quality. Interestingly, both direct and indirect effects of DGE are noticeable only from quantiles 6 to 9 and these impacts exhibit an increasing trend. FE decreases CO₂ and uplifts environmental quality in all quantiles without much variation. Economic growth (GR) augments CO₂; however, the magnitude of its effects reduces from lower to upper quantiles. Population density (PDN) alleviates environmental deterioration and its effects intensify from lower to upper quantiles. Afterward, the Driscoll-Kraay (DK) regression test confirmed the results of the MM-QR. Based on these novel results, a policy framework is proposed to reduce electronic waste and accelerate digital penetration in different sectors of the economy to enhance resource-saving and achieve carbon neutrality.