Understanding Trait‐Dependent Community Disassembly: Dung Beetles,Density Functions,and Forest Fragmentation

Abstract: Anthropogenic disturbances such as fragmentation are rapidly altering biodiversity, yet a lack of attention to species traits and abundance patterns has made the results of most studies difficult to generalize. We determined traits of extinction‐prone species and present a novel strategy for classifying species according to their population‐level response to a gradient of disturbance intensity. We examined the effects of forest fragmentation on dung beetle communities in an archipelago of 33 islands recently created by flooding in Venezuela. Species richness, density, and biomass all declined sharply with decreasing island area and increasing island isolation. Species richness was highly nested, indicating that local extinctions occurred nonrandomly. The most sensitive dung beetle species appeared to require at least 85 ha of forest, more than many large vertebrates. Extinction‐prone species were either large‐bodied, forest specialists, or uncommon. These explanatory variables were unrelated, suggesting at least 3 underlying causes of extirpation. Large species showed high wing loading (body mass/wing area) and a distinct flight strategy that may increase their area requirements. Although forest specificity made most species sensitive to fragmentation, a few persistent habitat generalists dispersed across the matrix. Density functions classified species into 4 response groups on the basis of their change in density with decreasing species richness. Sensitive and persistent species both declined with increasing fragmentation intensity, but persistent species occurred on more islands, which may be due to their higher baseline densities. Compensatory species increased in abundance following the initial loss of sensitive species, but rapidly declined with increasing fragmentation. Supertramp species (widespread habitat generalists) may be poor competitors but strong dispersers; their abundance peaked following the decline of the other 3 groups. Nevertheless, even the least sensitive species were extirpated or rare on the smallest and most isolated islands.     

Differences in nitrous oxide fluxes from red soil under different land uses in mid-subtropical China

Red soil may play an important role in nitrous oxide (N₂O) emissions due to its recent land use change pattern. To predict the land use change effect on N₂O emissions, we examined the relationship between soil N₂O flux and environmental determinants in four different types of land uses in subtropical red soil. During two years of study (January 2005-January 2007), biweekly N₂O fluxes were measured from 09:00 to 11:00 a.m. using static closed chamber method. Objectives were to estimate the seasonal and annual N₂O flux differences from land use change and, reveal the controlling factors of soil N₂O emission by studying the relationship of dissolved organic carbon (DOC), microbial biomass carbon (MBC), water filled pore space (WFPS) and soil temperature with soil N₂O flux. Nitrous oxide fluxes were significantly higher in hot-humid season than in the cool-dry season. Significant differences in soil N₂O fluxes were observed among four land uses; 2.9, 1.9 and 1.7 times increased N₂O emissions were observed after conventional land use conversion from woodland to paddy, orchard and upland, respectively. The mean annual budgets of N₂O emission were 0.71-2.21 kg N₂O-N ha⁻¹ year⁻¹ from four land use types. The differences were partly attributed to increased fertilizer use in agriculture land uses. In all land uses, N₂O fluxes were positively related to soil temperature and DOC accounting for 22-48% and 30-46% of the seasonal N₂O flux variability, respectively. Nitrous oxide fluxes did significantly correlate with WFPS in orchard and upland only. Nitrous oxide fluxes responded positively to MBC in all land use types except orchard which had the lowest WFPS. We conclude that (1) land use conversion from woodland to agriculture land uses leads to increased soil N₂O fluxes, partly due increased fertilizer use, and (2) irrespective of land use, soil N₂O fluxes are under environmental controls, the main variables being soil temperature and DOC, both of which control the supply of nitrification and denitrification substrates.     

土地利用功能分区若干问题探讨——以云南德宏州为例

土地利用功能分区是我国第三轮土地利用总体规划修编中新生的一种分区,也是该轮市(地)级土地利用总体规划修编的核心内容。在剖析土地利用功能分区基本概念与内涵的基础上,对土地利用功能分区的理论基础和技术方法进行了综合评述。以云南德宏傣族景颇族自治州为例,在确定土地利用功能分区基本原则的基础上,根据《市(地)级土地利用总体规划编制规程》(TD/T1023—2010)的规定,结合德宏州实际,制定了土地利用功能分区体系,共计将德宏州划分为8个土地利用功能区,即基本农田集中区、一般农业发展区、城镇村发展区、独立工矿区、风景旅游区、生态环境安全控制区、自然与文化遗产保护区和林业发展区;同时,探索和确定了德宏州土地利用功能分区的基本思路、技术路线和具体方法步骤,并应用GIS技术编制了德宏州土地利用功能分区图。德宏州土地利用功能分区研究结果符合德宏州实际,对指导全州未来土地利用与管理具有重要的意义。     

基于最优分割理论的酸雨监控点位的分类研究

Fisher最优分割法是用离差平方和来表示同类样本之间的差异程度,通过简便的计算步骤和作图,确定最优分类数,使同类样本间的差异最小,各类别样本间的差异最大,并用F检验法检验最优分类数的合理性。文章根据Fisher最优分割法的理论内涵,研究其应用于酸雨环境监测优化布点的可行性。以漳州市沿海区域监测点为研究实例,用Fisher最优分割法确定最优的分类情况和最优的优化布点方案。结果表明,原布设的9个监测点用Fisher最优分割法优化为3个典型点位,可客观地反映漳州市酸雨控制区的整体污染状况和污染趋势,该方法理论内涵直观、计算简便、重复性好,对环境质量监测有重要的意义。     

地下空间在节能减排中的应用及展望

在能源短缺和环境污染的双重压力下,我国出台多项措施加大节能减排力度。总结概括了地下空间的几种类型,认为盐岩洞穴、废弃矿洞、废弃油井、枯竭油气层等地下空间经过技术改造,可以埋存CO2、固体垃圾、废弃核原料,储存油气,地热利用等,能创造可观的社会价值和环境保护效益,可作为节能减排的一种有效措施。以山东地区为例,调研分析了山东多处地下空间利用现状,给出了地下空间的三种发展方向。     

川渝地区甲醛柱浓度时空变化及其影响因子的相关性分析

基于Aura-OMI HCHO数据,研究川渝地区2009—2017年甲醛柱浓度变化及影响因素.结果表明:9年间川渝地区甲醛浓度变化总体较为平稳,与全国其他地区相比,浓度均值较低.年变化中,四川省甲醛浓度整体高于重庆市,川渝两地的年均最高值分别出现在2011年和2012年,且2015年重庆出现最大下降速率.整个研究区在最高值变化中,1月、2月及11月出现极高值.9年间甲醛浓度整体先上升后下降,浓度等级二级一级三级其他级别,绝对高值集中分布在康定和雅安交界一带,季节变化呈现春季秋季夏季冬季的规律,与全国其他地区夏季最高有所不同.稳定性方面,研究区中部偏西波动较大,东西两部较为稳定,康定和雅安交界处为高波动区,川西西部、川东平行岭谷和重庆为低波动区,其他地区为中等波动区.地形、气候和风向等自然因素的综合作用对甲醛浓度值的大小及空间分布贡献极大,自然地理条件尤其与极端高值高且集中的特点关系密切.社会经济因素中,生产总值增长速度和能源消费总量增长率与四川省和重庆市两地的甲醛浓度变化正相关关系较强,木材加工及草制品业与之负相关关系较强,而纺织业、化学原料和化学品制造业、石油和核燃料加工业只与四川省甲醛浓度有较强的负相关性,重庆相对较弱.     

基于数据分解的AQI的CEEMD-Elman神经网络预测研究

针对Elman神经网络在预测空气质量指数（AQI）时易受到数据非平稳性的影响导致预测趋势良好但准确度较低的问题,提出以互补集合经验模态分解（Complementary Ensemble Empirical Mode Decomposition,CEEMD）为基础的CEEMD-Elman模型.应用CEEMD对AQI序列分解成不同时间尺度上的本征模态函数分量和剩余分量,进而首次将对非平稳的AQI序列的预测研究转化为对多个平稳的本征模态函数分量的研究.分别与Elman单一模型、EMD-Elman模型、BP单一模型及CEEMD-BP模型进行实验对比.结果表明：应用该方法建立的模型的均方误差、平均绝对误差和平均绝对百分比误差分别为4.80、0.71、1.84%,均小于其他模型结果;对应空气质量等级预报正确天数的频率为94.12%.该模型能有效的降低非平稳性对实验预测结果的影响,实现对空气质量等级的准确预报;该研究为进一步预测AQI的走向提供了有效依据,也为政府决策和管理部门制定空气污染控制提供了更充分的参考.     

基于人地耦合系统的国土空间重塑

地理系统主要研究地球表层人与环境相互作用的机理,强调人地关系、自然和人文要素的综合,即人地耦合系统。地理系统在国土空间中的应用主要由地理决策、地理模拟、地理工程所组成,并且相互作用构成了地理治理。国土空间是自然与人类所共同实践的物质载体,人类被自然所塑造的程度并不亚于自身塑造自然的程度,以人地耦合系统为核心的地理系统理论成为国土空间规划与整治修复的理论基础。基于人地耦合系统的国土空间重塑最终以地理治理的形式反映在人类作用于自然环境的各种活动中。经过改革开放40年的发展,中国国土空间已基本形成了较为稳定的格局,形成了经济区、贫困区、小城镇为主的三种形态空间。中国的城镇化发展与发达国家有所不同,是城市化、城镇化、乡村化“三化耦合”并存的状态。必须重视泛第三极、环中国南海、东北亚—北极等以“一带一路”全球空间为基础的战略区域研究。基于人地耦合系统理论与国土空间价值均衡理论,国土空间重塑的基础科学问题是人地耦合系统演化机理与驱动机制。国土空间规划可以划分为三种类型：发展型规划、控制型规划和修复型规划。国土空间的保护与治理包括以土地利用为核心的国土空间全域整治,以生态文明为核心的国土空间系统修复,以社会和谐为核心的国土空间综合治理。人地耦合系统最终的发展目标是形成人类与自然相互作用的命运共同体。     

不同情景模式下雄安新区的水资源利用效率和节水潜力分析

雄安新区是千年大计、国家大事,水资源短缺与水体污染成为制约其发展的主要问题。从水资源利用效率及节水潜力视角出发,以深圳发展历程为标杆,结合情景分析与方向性距离函数等模型,展示到2035年不同情景的雄安水资源利用效率及节水潜力发展图景和路径。研究表明：从利用效率看,在基准、起步、建成情景下雄安呈现出由低效率区到较高效率区再到高效率区的变化态势。从节水潜力看,效率改善空间减小、技术落差比增加等表明雄安节水潜力得到充分挖掘。杜绝污水直排、积极发展污水处理技术、优化新区产业结构等是促使水资源利用效率提高的有效手段,是雄安实现绿色生态发展的重要保障。