基于夜间灯光的城市居民直接碳排放及影响因素——以中原经济区为例

城市居民直接能源消耗及其碳排放对区域碳减排政策的制定具有重要影响。受统计数据缺乏与研究方法的限制,当前的研究不仅较少探讨精细空间尺度上的城市居民直接碳排放,同时也缺乏在县级尺度上对人均居民直接碳排放的影响因素进行深入分析。鉴于此,论文以中原经济区为例,通过引入夜间灯光数据,利用增强型饱和校正模型估算了网格尺度上的城市居民碳排放,并采用地理加权回归模型对其影响因素进行了分析。主要研究发现：中原经济区的碳排放总体空间特征是西北高、东南低。郑州市市辖区的城市居民直接碳排放总量位于首位,而邢台县、辉县市和襄垣县的人均碳排放较高。此外,就其影响因素来看,人均GDP、碳排放强度、第二产业比重和HDD（Heating Degree Days,热度日）均表现为正效应,城镇化率为负效应,而CDD（Cooling Degree Days,冷度日）的系数有正有负。城市居民直接碳排放的影响因素分析为中原经济区制定切实可行的区域碳排放政策提供了重要的基础理论依据。     

Sources and Delivery of Nutrients to the Northwestern Gulf of Mexico from Streams in the South‐Central United States1

Rebich, Richard A., Natalie A. Houston, Scott V. Mize, Daniel K. Pearson, Patricia B. Ging, and C. Evan Hornig, 2011. Sources and Delivery of Nutrients to the Northwestern Gulf of Mexico From Streams in the South‐Central United States. Journal of the American Water Resources Association (JAWRA) 47(5):1061‐1086. DOI: 10.1111/j.1752‐1688.2011.00583.x Abstract: SPAtially Referenced Regressions On Watershed attributes (SPARROW) models were developed to estimate nutrient inputs [total nitrogen (TN) and total phosphorus (TP)] to the northwestern part of the Gulf of Mexico from streams in the South‐Central United States (U.S.). This area included drainages of the Lower Mississippi, Arkansas‐White‐Red, and Texas‐Gulf hydrologic regions. The models were standardized to reflect nutrient sources and stream conditions during 2002. Model predictions of nutrient loads (mass per time) and yields (mass per area per time) generally were greatest in streams in the eastern part of the region and along reaches near the Texas and Louisiana shoreline. The Mississippi River and Atchafalaya River watersheds, which drain nearly two‐thirds of the conterminous U.S., delivered the largest nutrient loads to the Gulf of Mexico, as expected. However, the three largest delivered TN yields were from the Trinity River/Galveston Bay, Calcasieu River, and Aransas River watersheds, while the three largest delivered TP yields were from the Calcasieu River, Mermentau River, and Trinity River/Galveston Bay watersheds. Model output indicated that the three largest sources of nitrogen from the region were atmospheric deposition (42%), commercial fertilizer (20%), and livestock manure (unconfined, 17%). The three largest sources of phosphorus were commercial fertilizer (28%), urban runoff (23%), and livestock manure (confined and unconfined, 23%).     

Where artisanal mines and forest meet: Socio‐economic and environmental impacts in the Congo Basin

While mineral exploitation can provide significant income and employment, it may negatively impact the environment, being ultimately detrimental to livelihoods in the long term. The consequences of mining are of concern in high value forest ecosystems such as the Sangha Tri‐National (TNS) landscape covering Cameroon, the Central African Republic and Republic of the Congo. This paper captures the socio‐economic and environmental impacts of small‐scale mining in the TNS. Using structured questionnaires, consultations and observation, diamonds and gold were found to contribute directly to the livelihoods of at least 5% of the landscape's population. Although up to eight income‐generating strategies are used, mining contributes on average to 65% of total income and is used mainly to meet basic needs. A gold miner's average income is US$ 3.10 a day, and a diamond miner earns US$ 3.08, making them slightly wealthier than an average Cameroonian and three times wealthier than an average non‐miner in the TNS. Environmental impacts were temporary, low impact and of limited scale. However, with mining likely to increase in the near future, an increasing population and miners' low environmental awareness, measures are needed to ensure and reinforce the positive impact of artisanal mining on livelihoods and maintain its low environmental footprint in the TNS landscape.     

基于区域化过程的边缘地区发展模式——以南阳市为例

边缘地区的发展问题一直是区域研究中的重点和难点，研究其发展轨迹、机理对于促进经济相对滞后的边缘区域发展具有重要意义。以豫鄂两省交界地区的南阳地区为例，在实地调研基础上，对其处于“核心→边缘”中的区域化过程进行阐述，采用区位商和“三轴图”产业重心方〖JP2〗法对其边缘化过程进行分析，针对南阳地区实际发展状况，提出未来解决边缘化的主要发展模式：（1）“CI”区域形象设计，推行区域形象发展模式；（2）“特色农产品＋农户＋中介＋（市场）明星企业”的农业产业化模式、“特色资源+生态工业园”的工业发展模式；（3）以旅游和物流为主的交通驱动型第三产业发展模式，通过特色模式带动地区经济快速高效发展，以期为南阳地区及同类区域发展提供有益建议。     

全球变暖背景下中亚兴都库什、喀喇昆仑及天山气候变化研究进展

中亚兴都库什、喀喇昆仑及天山山脉（HKT）是气候变化敏感区,其在全球变暖背景下的气候变化对区域生态和经济系统的稳定性及可持续发展有重要意义。目前对中亚高海拔地区的研究多集中于局部区域,有关HKT地区气候变化的综合对比分析较为缺乏。本文对HKT地区现代气候变化的相关研究成果进行简单梳理和回顾,重点总结了HKT地区气候变化特征、影响机制及其与全球变暖的联系。结果表明：（1）近60 a,HKT地区不同区域气候的时空特征存在差异,从时间上看,天山的年均温及年降水量均呈上升趋势,而兴都库什-喀喇昆仑山的年均温呈不显著增加趋势,其年降水量变化趋势不稳定;从空间上看,HKT地区山脉南坡气温高于北坡,但北坡降水量高于南坡,且天山南北坡年降水均呈上升趋势。（2）HKT地区的气候变化除了受西风环流、南亚印度季风及局地条件等影响外,还受到北大西洋涛动和厄尔尼诺-南方涛动等大尺度气候模态的调制,如兴都库什-喀喇昆仑山脉在NAO正（负）位相和ENSO暖（冷）位相降水趋于增加（减少）。     

中亚跨境流域生态脆弱性评价及其时空特征分析——以阿姆河流域为例

生态脆弱性（EVI）的定量评估和长期分析,对于了解区域生态环境动态变化与指导生态环境保护与修复极为重要。但以往研究很少对跨境流域这一特殊单元进行生态脆弱性评价。以阿姆河流域为例,选择反映研究区植被、水文、气候、地形、土壤以及人类活动等方面的11个指标,通过共线性诊断分析,构建了阿姆河流域生态脆弱性评价体系,利用主观权重与客观权重相结合的方法确定指标权重,对1990-2015年研究区EVI进行了定量评价及时空特征分析。结果表明：（1）研究区生态环境呈恶化趋势,大部分区域处于重度脆弱状态,研究时段内重度脆弱性比例的平均值为46.40%;极度脆弱性占比在过去25年内呈增加趋势,从1990年的2.58%增加至2015年的16.97%,增幅为14.39%。（2）生态脆弱性在不同土地覆被类型之间差异巨大,其中草地的EVI值变化最大,裸地的生态环境最为脆弱,林地的生态脆弱性最小;研究区生态脆弱程度整体表现为裸地>灌丛>草地>耕地>城市用地>林地的规律。（3）EVI与地形因子的关系表明生态环境最为脆弱的区域主要位于低海拔地势平坦与高海拔坡度大的地区,而低脆弱性主要分布在海拔2500~3500 m或坡度15~25°的区间上。     

面向SDGs的城市扩张多情景模拟——以“一带一路”中亚区为例

在全球倡导可持续发展目标（SDGs）的背景下,城市作为人类活动的主要场所,既是SDGs的聚焦区域,更是世界各国落实SDGs的着力点。以“一带一路”沿线中亚五国首都城市区为例,面向SDGs设定发展情景和相应参数,采用Markov-FLUS模型模拟2030年自然发展、生态优先与经济优先情景下的城市发展格局,权衡SDGs与多情景城市格局演化规律,从空间视角协调城市的社会、生态与经济,提供城市发展的决策依据。结果表明：（1）2010—2015年来,研究区均出现建设用地总量增加、生态用地总量减少的现象。（2）未来情景模拟中均表现出由建设用地扩张引致的生态用地破碎化;生态优先情景有效抑制了建设用地扩张;经济优先情景下转化为裸地的土地有所减少,建设用地出现连片扩张。（3）未来城市发展应协调生态保护与经济发展,将生态保护理念融入城市建设,实现国家政策推动土地资源可持续利用,促进实现2030年全球可持续发展目标。     

中亚水热资源匹配特征及敏感性分析

从水热积指数出发,基于1931—2019年Climatic Research Unit（CRU）再分析资料,运用多时序分析方法,从多时间尺度分析中亚水热资源匹配空间特征和时序变化,并进行敏感归因探究。结果表明：（1）空间上中亚水热匹配条件存在相对优劣,优势区多分布于高纬及高山高原地带,水热资源匹配较差区域分布于南部沙漠。优势区多和同期降水高值区、潜在蒸散低值区和气温低值区重合,年际水热积指数变化不明显或呈弱下降趋势;较差区域多为同期潜在蒸散和气温高值区,降水低值区,水热积指数降低且年际变幅较大。（2）中亚水热资源匹配年内存在季节差异,春秋较好、冬季次之、夏季较差;在年际尺度上,1931—1974年,水热匹配条件呈现上升趋势;1974—2000年左右,水热匹配条件波动上升;2000—2019年,水热匹配条件下降,且在1971—1980年、1981—1990年、1990—2000年发生匹配条件突变。春夏秋季水热匹配变化趋势同年际趋势大致相同,冬季波动幅度较小。（3）在春、夏及年尺度上,主导敏感性因子为平均气温因子,在秋冬两季为降水因子;在高纬、高原高山区,水热积指数变化敏感性气候因子多为降水因子;中亚南部水热积指数变化对降水敏感性减弱,平均气温敏感性增加,且北部平均气温敏感性系数绝对值略低于南部;高山高原区域对极端温度变化较为敏感。     

Spatial distribution of organic geochemical record in the core sediments along the prominent zones of Central Kerala,India

The study investigated the origin, quality, composition, and trophic state of sedimentary organic matter (SOM) in core samples collected from three zones (Munambam, Vypin, Chettuva) of Central Kerala, India. The SOM exhibited enhanced levels for carbohydrate (CHO) followed by protein (PRT) and lipid (LPD); and phytopigment in the sediment followed the trend: Pheophytin (Pheo) > Carotenoid (carotend) > Chlorophyll-a (Chl-a) > Chlorophyll-b (Chl-b) > Chlorophyll-c (Chl-c). The low PRT: CHO ratio indicated a large amount of nonliving or aged organic matter in the sedimentary environment. Whereas the low Chl-a: Pheo ratio interprets the abundance of dead plant materials in the sediments. Correlation matrix showed strong association between organic matter and clay fraction of sediment. Furthermore, the strong interrelationships between biochemical components and chloropigments in all the zones suggested that SOM is strictly connected to phytodetritus deposition. Vypin zone near Vallarpadam Container Terminal revealed the presence of high biopolymeric carbon content. Besides, the PRT: CHO > 1 reflected the eutrophic condition at the same site but the low PRT: CHO ratio in the remaining stations displays the oligotrophic nature.