雄安新区生态系统服务簇权衡与协同

河北雄安新区建设是千年大计、国家大事。在生态优先、绿色发展理念引领下,深入理解生态系统服务间关系对于优化国土空间开发保护、实现自然资源可持续管理具有重要意义。本文基于多源数据评估了雄安新区四种生态系统服务,分析了生态系统服务间关系,并利用自组织映射特征网络划分了生态系统服务簇,以期为新区统筹权衡规划建设提供科学依据。研究结果表明：雄安新区生物多样性维持服务供给总体呈从东北向西南递增;食物供给服务在安新县与容城县供给较高,在雄县供给较低;产水服务供给以西南部地区较高,东北部地区较低;娱乐服务供给则以中北部地区较高,西南部地区较低。不同类型生态系统服务间多为协同关系,少为权衡关系。识别出四种生态系统服务簇,不同服务簇的主要土地利用类型及服务供给特点均存在差异,食物供给簇以旱地为主,主要提供食物供给服务;文化娱乐簇也以旱地为主,主要提供娱乐服务;生态保育簇以水域、旱地和林地为主,主要提供生物多样性维持服务;城镇生活簇则以建设用地为主,也包括少部分水田,主要以产水服务较高。根据不同生态系统服务供给间关系特征,为新区合理确定土地利用变更时序与位置以及促进多重生态系统服务可持续供给提出了建议。     

多重压力对重点生态功能区农户生计资产可得性的影响——以甘南黄河水源补给区为例

重点生态功能区主要承担着提供持续、稳定生态服务的功能,农户作为维护其主体功能的最基础单元和该区最主要的经济活动主体,面临着自然、社会、政策等多重压力,其交互作用不仅加剧了农户的生计脆弱性,更影响到该区主体功能的发挥,当前急需辨明多重压力对农户生计的影响,以便寻求有效的生计脆弱性减缓对策。本文以甘南黄河水源补给区为例,运用入户调查数据与有序Logistic回归模型等方法在识别农户遭受关键压力的基础上,进一步探讨生计压力的交互作用对生计资产可得性的影响。结果显示：① 甘南黄河水源补给区大多数农户遭受自然+经济型多重压力,其中,重点保护区、恢复治理区及经济示范区农户遭受的多重压力分别以自然+经济型、自然+经济型、经济+社会型为主。② 在多重压力的冲击下,重点保护区与恢复治理区农户除了社会资产可得性变化处于稳定状态,其余各类资产可得性变化几乎处于降低态势,而经济示范区农户的金融资产与社会资产的可得性变化处于稳定状态,其余各类资产可得性变化均处于降低态势。③ 婚嫁支出高与农牧产品价格下降、牲畜患病与人畜饮用水困难、子女学费支出高+婚嫁支出高+农牧产品价格下降+养老无保障、建房开支高与生态政策、子女就业困难与农业病虫害等压力的交互作用分别对自然资产、物质资产、金融资产、社会资产、人力资产等的可得性变化影响最强烈。     

粤港澳大湾区人口老龄化时空特征及其经济效应

中国新时代“两个十五年”的现代化强国战略周期,恰恰是快速人口老龄化纵深发展期,人口年龄结构快速老龄化与经济社会之间的发展不平衡矛盾将日益严峻。本文利用广东省第四次、第五次、第六次人口普查资料、2015年广东省1%人口抽样调查资料、香港统计年刊和澳门统计年鉴数据,运用空间自相关分析法、柯布-道格拉斯生产函数和空间回归等方法,研究2000—2015年粤港澳大湾区人口老龄化的时空特征及其经济效应,结果表明：① 粤港澳大湾区人口老龄化进程慢于广东省,更慢于全国,但于2015年已进入老年型I期。② 粤港澳大湾区老龄化呈动态演变特征,空间上以香港和江门为起点,经西北向北扩散的“C”型分布模式,高收入城市以澳门和香港为起点向北扩散,最终形成中心-外围的空间分布格局。③ 粤港澳大湾区人口老龄化对经济增长具有负向影响,老龄人口增加1%,人均GDP降低3%。人均固定资本投入和人均人力资本投入有正的经济效应,人均人力资本投入带来的正向效应要大于人均固定资本投入。鉴于此,粤、港、澳三地应建立起协同治理模式,构建跨境的养老合作机制;促进产业结构升级,充分利用人力资本促进技术创新,并正确评估不同阶段人口老龄化对经济增长的影响,妥善处理好人口老龄化与经济之间的关系至关重要。     

一国两制背景下跨境口岸与中国全球城市区域空间联系——以粤港澳大湾区为例

粤港澳大湾区是中国特色的跨境全球城市区域,但囿于数据获取局限,已有分析多集中于对珠三角9市的空间格局演变分析或仅注重港、澳与内陆城市的单向跨境经济联系,口岸研究多集中于口岸自身的时空分布格局与作用机理,较少涉及口岸对跨境区域全域的空间联系及影响分析。本文尝试从口岸视角理解中国跨境全球城市区域空间联系,以粤港澳大湾区11城市为例,运用联系强度、网络密度及Python编程方法,以港口、陆路与航空跨境口岸为节点,以交通联系为纽带分析大湾区空间联系。结果表明：① 口岸是粤港澳大湾区跨境全球城市区域内部空间联系的重要通道,依托各口岸,湾区已形成以香港为核心,以澳门、深圳、广州为重要节点的宏观联系格局。② 港口口岸联系表现为以香港为首,港、澳互动为主的联系格局,港、澳与湾区其它城市间的港口口岸联系呈现等级性差异。③ 陆路口岸联系表明,湾区形成以港、澳陆路口岸为原点的辐射状联系格局,并以珠江为界呈显著不平衡性特征。④ 航空口岸联系呈现以港、澳为核心,面向粤港澳大湾区的线性放射状航空外联格局。本文揭示了口岸通道对跨境区域全域空间联系与要素流动的影响,为跨境区域联系研究提供了新的视角。     

湖南省武陵山片区人口城镇化与流通产业发展协同演化及其减贫效应研究

运用协同度模型、空间ESDA、趋势面分析和面板计量回归模型,分析湖南省武陵山片区2001—2017年人口城镇化与流通产业发展协同的时空演化特征及其减贫效应。研究发现：湖南省武陵山片区人口城镇化与流通产业协同发展整体呈上升趋势但水平偏低,不同板块间协同水平差异显著且有扩大倾向;具有“集聚–分散–集聚”空间循环过程,局部空间极化效应明显,形成邵阳板块的显著热点区和湘西自治州板块的显著冷点区;协同发展“东高西低”空间分布格局更趋明显,“北高南低”分布态势减弱;两者协同发展对农民收入提升、贫困减缓具有显著正向促进作用,进一步空间效应分解发现协同减贫的空间正外溢性显著;实施人口城镇化与流通产业发展“双轮”协同驱动战略是实现乡村振兴的现实需要,也是落实高质量脱贫方略的重要支撑。     

新时代澳门海洋生态环境保护策略研究

文章结合国家有关海洋生态文明建设的要求和澳门海域实际情况,分析海域对于澳门经济社会发展的重要意义,明确“十四五”时期海洋生态环境保护的应对策略,包括：强化海洋空间管控,构建绿色发展格局;开展岸线整治修复,实施生态恢复工程;维护滨海湿地功能,推动海湾综合治理;建设旅游基础设施,发展海洋旅游市场;实施污染联防联控,有效推动公众参与。同时,结合澳门实际情况,提出中长期海洋生态环境保护策略,助力澳门在新时代“粤港澳大湾区”和“一带一路”建设中发挥更大作用。     

Decumbent development: Urban sprawl in the Guwahati Metropolitan Area,India

Urban sprawl has become a global phenomenon as an outcome of growing population and rapid urbanization. Previous studies have addressed the rising incidence of uncontrollable urban development, particularly in peri-urban areas of cities, leading to chronic urban sprawl. The city of Guwahati, a million city in north east India, has expanded significantly in recent years. In this article, the links between population and growth of built-up areas were examined using geo-spatial techniques and remotely sensed datasets. The results indicate that the sprawl has accentuated in recent years. The intensity of land use remained uneven due to marked variations in the distribution of built-up areas, plausibly an outcome of unplanned urban growth. If current trends are anything to go by, future urban sprawl could pose serious threats to the vulnerable eco-sensitive and peri-urban areas of Guwahati. Secondary cities have unfortunately received scant attention in urban policy research, and Guwahati, epitomizes urban woes in a developing country.     

景电灌区移民对祁连山植被恢复的相对生态价值

近些年来,生态系统的服务价值研究已成为生态学以及生态经济学领域中的一个热点问题。祁连山被称为伸进西北干旱区的一座湿岛,在我国“一带一路”建设中占有重要地位。景电灌区兴建以来从祁连山移出了大量农牧民。那么,景电灌区移民对祁连山植被恢复的生态价值如何呢？以景电灌区移民涉及到的祁连山东端景泰、古浪、天祝3县山区为研究区,用价值工程方法对从祁连山区向景电灌区移民退耕退牧还林还草的生态价值做了分析,并与模型因子当量法的计算结果进行了比较。结果表明：祁连山向景电灌区移民退耕退牧还林还草总的生态价值为37.458 1×10⁸元。其中,退耕还林还草的生态价值为37.438 6×0⁸元,退牧后草场植被盖度增加的生态价值为194.79×104元。计算结果为用COSTANZA和谢高地模型因子当量法计算得的祁连山向景电灌区移民退耕退牧还林还草总的生态服务价值40.054 0×0⁸元的93.52%。两种方法计算结果祁连山向景电灌区移民退耕退牧还林还草总的生态价值为景电工程年总成本1.45×0⁸元的25.8~27.6倍。两种计算结果一致表明,景电灌区生态移民对祁连山植被恢复的生态价值十分突出。由此也可以看出,COSTANZA和谢高地模型因子当量法适用于祁连山的生态服务价值分析。     

Integration of hyperspectral and LiDAR data for mapping small water bodies

Inland water bodies are globally threatened by environmental degradation and climate change. On the other hand, new water bodies can be designed during landscape restoration (e.g. after coal mining). Effective management of new water resources requires continuous monitoring; in situ surveys are, however, extremely time-demanding. Remote sensing has been widely used for identifying water bodies. However, the use of optical imagery is constrained by accuracy problems related to the difficulty in distinguishing water features from other surfaces with low albedo, such as tree shadows. This is especially true when mapping water bodies of different sizes. To address these problems, we evaluated the potential of integrating hyperspectral data with LiDAR (hereinafter “integrative approach”). The study area consisted of several spoil heaps containing heterogeneous water bodies with a high variability of shape and size. We utilized object-based classification (Support Vector Machine) based on: (i) hyperspectral data; (ii) LiDAR variables; (iii) integration of both datasets. Besides, we classified hyperspectral data using pixel-based approaches (K-mean, spectral angle mapper). Individual approaches (hyperspectral data, LiDAR data and integrative approach) resulted in 2–22.4 % underestimation of the water surface area (i.e, omission error) and 0.4–1.5 % overestimation (i.e., commission error).The integrative approach yielded an improved discrimination of open water surface compared to other approaches (omission error of 2 % and commission error of 0.4 %). We also evaluated the success of detecting individual ponds; the integrative approach was the only one capable of detecting the water bodies with both omission and commission errors below 10 %. Finally, the assessment of misclassification reasons showed a successful elimination of shadows in the integrative approach. Our findings demonstrate that the integration of hyperspectral and LiDAR data can greatly improve the identification of small water bodies and can be applied in practice to support mapping of restoration process.     

The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in Brazil

On 25th January 2019, the tailings dam of the Brumadinho iron mine operated by Vale S/A failed catastrophically. The death toll stood at 259 and 11 people remained missing as of January 2020. This tragedy occurred three years after Mariana’s tailings dam rupture – the most significant tailing dam disaster in Brazilian history. Thus far, a systematic investigation on the cause and effect of the failure has yet to be conducted. Here, we use satellite-driven soil moisture index, multispectral high-resolution imagery and Interferometric Synthetic Aperture Radar (InSAR) products to assess pre-disaster scenarios and the direct causes of the tailings dam collapse. A decreasing trend in the moisture content at the surface and the full evanescence of pond water through time (2011–2019) suggest that the water was gradually penetrating the fill downwards and caused the seepage erosion, saturating the tailings dam. Large-scale slumping of the dam (extensional failure) upon the rupture indicates that the materials of the fill were already saturated. InSAR measurements reveal a dramatic, up to 30 cm subsidence in the dam (at the rear part) within the past 12 months before the dam collapse, signifying that the sediments had been removed from the fill. Although the information on the resistance level of the tailings dam to infiltrations is not available, these pieces of evidence collectively indicate that the seepage erosion (piping) is the primary cause for the chronic weakening of the structure and, hence, the internal “liquefaction” condition. Upon the collapse, the fully saturated mud tailings flowed down the gentle slope area (3.13 × 10⁶ m²), where 73 % were originally covered by tree, grass or agricultural tracts. The toxic mud eventually reached the Paraopeba River after travelling 10 km, abruptly increasing the suspended particulate matter (SPM) concentration and the toxic chemical elements in the river, immediately affecting the local livelihoods that depend on its water. The Paraopeba River is a major tributary of the San Francisco River, the second-longest river in Brazil reaching the Atlantic Ocean. We anticipate that the environmental repercussions of this toxic seepage will be felt throughout the entire basin, especially riverine communities located downstream.