REMOTE SENSING OF RIPARIAN BUFFERS: PAST PROGRESS AND FUTURE PROSPECTS1

Riparian buffer zone management is an area of increasing relevance as human modification of the landscape continues unabated. Land and water resource managers are continually challenged to maintain stream ecosystem integrity and water quality in the context of rapidly changing land use, which often offsets management gains. Approaches are needed not only to map vegetation cover in riparian zones, but also to monitor the changes taking place, target restoration activities, and assess the success of previous management actions. To date, these objectives have been difficult to meet using traditional techniques based on aerial photos and field visits, particularly over large areas. Recent advances in remote sensing have the potential to substantially aid buffer zone management. Very high resolution imagery is now available that allows detailed mapping and monitoring of buffer zone vegetation and provides a basis for consistent assessments using moderately high resolution remote sensing (e.g., Landsat). Laser‐based remote sensing is another advance that permits even more detailed information on buffer zone properties, such as refined topographic derivatives and multidimensional vegetation structure. These sources of image data and map information are reviewed in this paper, examples of their application to riparian buffer mapping and stream health assessment are provided, and future prospects for improved buffer monitoring are discussed.     

Allocating anthropogenic pollutant emissions over space: application to ozone pollution management

An inventory of volatile organic compound (VOC) and nitrogen oxides (NOx) emissions is an important tool for the management of ground-level ozone pollution. This paper has two broad aims: it illustrates the potential of a geographic information system (GIS) for enhancing an existing spatially-aggregated, anthropogenic emissions inventory (EI) for Tucson, AZ, and it discusses the ozone-specific management implications of the resulting spatially-disaggregated EI. The main GIS-related methods include calculating emissions for specific features, spatially disaggregating region-wide emissions totals for area sources, and adding emissions from various point sources. In addition, temporal allocation factors enable the addition of a multi-temporal component to the inventory. The resulting inventory reveals that on-road motor vehicles account for approximately 50% of VOC and NOx emissions annually. On-road motor vehicles and residential wood combustion are the largest VOC sources in the summer and winter months, respectively. On-road motor vehicles are always the largest NOx sources. The most noticeable weekday vs. weekend VOC emissions differences are triggered by increased residential wood combustion and increased lawn and garden equipment use on weekends. Concerning the EI's uncertainties and errors, on-road mobile, construction equipment, and lawn and garden equipment are identified as sources in the most need of further investigation. Overall, the EIs spatial component increases its utility as a management tool, which might involve visualization-driven analyses and air quality modeling.     

An Assessment of Invasion Risk from Assisted Migration

Abstract:  To reduce the risk of extinction due to climate change, some ecologists have suggested human-aided translocation of species, or assisted migration (AM), to areas where climate is projected to become suitable. Such intentional movement, however, may create new invasive species if successful introductions grow out of control and cause ecologic or economic damage. We assessed this risk by surveying invasive species in the United States and categorizing invaders based on origin. Because AM will involve moving species on a regional scale within continents (i.e., range shifts), we used invasive species with an intracontinental origin as a proxy for species that would be moved through AM. We then determined whether intracontinental invasions were more prevalent or harmful than intercontinental invasions. Intracontinental invasions occurred far less frequently than invasions from other continents, but they were just as likely to have had severe effects. Fish and crustaceans pose a particularly high threat of intracontinental invasion. We conclude that the risk of AM to create novel invasive species is small, but assisted species that do become invasive could have large effects. Past experience with species reintroductions may help inform policy regarding AM.     

Predicting Extinction Risk of Brazilian Atlantic Forest Angiosperms

Understanding how plant life history affects species vulnerability to anthropogenic disturbances and environmental change is a major ecological challenge. We examined how vegetation type, growth form, and geographic range size relate to extinction risk throughout the Brazilian Atlantic Forest domain. We used a database containing species‐level information of 6,929 angiosperms within 112 families and a molecular‐based working phylogeny. We used decision trees, standard regression, and phylogenetic regression to explore the relationships between species attributes and extinction risk. We found a significant phylogenetic signal in extinction risk. Vegetation type, growth form, and geographic range size were related to species extinction risk, but the effect of growth form was not evident after phylogeny was controlled for. Species restricted to either rocky outcrops or scrub vegetation on sandy coastal plains exhibited the highest extinction risk among vegetation types, a finding that supports the hypothesis that species adapted to resource‐limited environments are more vulnerable to extinction. Among growth forms, epiphytes were associated with the highest extinction risk in non‐phylogenetic regression models, followed by trees, whereas shrubs and climbers were associated with lower extinction risk. However, the higher extinction risk of epiphytes was not significant after correcting for phylogenetic relatedness. Our findings provide new indicators of extinction risk and insights into the mechanisms governing plant vulnerability to extinction in a highly diverse flora where human disturbances are both frequent and widespread. Predicción del Riesgo de Extinción de Angiospermas del Bosque Atlántico Brasileño     

基于地理探测器的土壤重金属空间分异及其影响因素分析研究进展

地理探测器是探测空间分异性,以及揭示其背后驱动因子的一种新的统计学方法,由于其既能揭示单一因素对因变量的影响,也能评价双因素相互作用的影响,且不需要考虑线性,还能避免多变量共线性的影响,没有较强的模型假设,解决了传统方法在分析类别变量时的局限性,在土壤重金属空间分异领域研究的应用越来越广泛.通过收集40篇关于地理探测器在土壤重金属空间分异领域的研究报道,梳理了采用的自变量离散化方法、研究尺度、因变量和自变量类型、因子探测、交换探测、风险探测和生态探测等内容,并提出下一步的应用研究急需明确的问题,为地理探测器在土壤重金属空间分异领域深层次应用提供支撑.     

中国镉超富集植物的物种、生境特征和筛选建议

植物修复作为一项绿色且有效的原位修复重金属污染土壤技术,在近20年引起了中国学者的关注并取得了一系列成果.通过检索镉超富集植物相关关键词,对过去20 a(2002～2021年)科技文献中报道的中国镉超富集植物的物种特征、野外发现地在中国各植被地带的分布、原生境特征、地质特征和镉的地球化学进行归纳总结,为镉超富集植物的筛选提供建议.结果表明,目前报道的镉超富集植物有45种.在植物物种上,隶属22科,36属,其中菊科(Compositae)植物最多,为14种.由野外调查发现的镉超富集植物有25种,主要发现于亚热带常绿阔叶林区域,其主要生长于铅锌矿周围的高浓度镉土壤上.归纳总结发现,丰富的植物物种资源、高浓度重金属土壤和长时间的驯化共同促进了超富集植物的形成.因此,具备这3点的区域可以视为超富集植物存在的高概率区域,并且超富集植物的野外筛选可以围绕此展开.最后,提出可以通过高概率区域识别和调查、富集能力验证、富集能力逆境习得筛查、生态型筛查、继代遗传检验和修复能力验证这6步,来进行超富集植物的筛选和植物超富集能力的鉴定.     

便携式重金属测定仪在龙江河镉离子污染事件应急监测中的应用研究

PDV6000plus便携式重金属测定仪具有体积小、精度高、操作简便等特点,能够快速完成样品分析,为环境管理部门在突发环境污染事件中及时掌握污染变化趋势,作出科学决策提供技术支持。本文通过介绍便携式重金属测定仪在广西龙江河镉离子污染事件应急监测中的具体应用,以期为今后在应急监测中更好地发挥作用提供参考。     

便携式水质检测仪性能综合评价方法研究

目前便携式水质检测仪品种繁多,各种技术指标和性能尚无统一评价标准,导致仪器性能良莠不齐,监测数据质量难以保证,无法满足管理部门对环境监测数据的要求,检测机构在采购过程中也难以选择。为解决这一问题,建立了便携式水质检测仪综合评价方法,确定了综合评价指标,制定了综合评价标准,选择相关仪器及相关项目进行综合评价。结果表明,大部分便携式水质检测仪器在便携性、操作简易性等方面做得比较好,而在准确度、精密度等方面还有待提高。该评价方法综合考虑了影响便携式水质检测仪的各项因素,能够为全方位评价、选择便携式水质检测仪提供参考。     

安徽省O3浓度时空分异及其驱动因素研究

基于2017—2018年安徽省132个空气质量监测站点的O₃浓度观测数据及各月份的气象与前体物排放数据, 采用空间自相关分析、地理探测器等方法分析安徽O₃浓度的时空分异及其驱动因素. 结果表明:安徽O₃浓度的峰值出现在5月和6月, 超标率分别为31.4%和42.8%. O₃浓度整体呈空间集聚特征, 高值区主要出现在安徽东北部的蚌埠、宿州、淮南和滁州4市, 低值主要分布在皖南山区. 气象要素是安徽省O₃浓度格局形成的主控因素, 其中6月的边界层高度(q=0.644)、近地面太阳辐射(q=0.597)和风速(q=0.571)的影响最大, 且呈正向影响, 风速的增大和边界层高度的增加可能使得输入性污染增加. 降雨量(q=-0.532)和相对湿度(q=-0.559)呈负向影响, 且降雨带的移动是影响安徽夏季O₃分布格局的一项关键因素. 本地前体物排放对安徽O₃浓度的影响受到气象要素的驱动, 在夏季呈正向, 而冬季呈反向, 其中CO的影响相对较大. 6月气象要素与本地前体物排放的双因子交互驱动对O₃浓度的空间分异具有增强作用. 边界层高度和近地面太阳辐射与本地前体物的组合解释力均大于0.7, 在不利的气象条件下, 应进一步加强对本地前体物排放的管控.     

中国县域肉类生产的时空演变及影响因素

随着人均收入的增加和城镇化的推进,促进了居民肉类消费增加。厘清肉类生产格局的变化对肉类可持续供给具有重要意义。基于中国县域视角,以2000—2016年的肉类产量数据为基础,运用标准差椭圆、空间自相关、地理探测器等方法,揭示我国肉类生产的时空演变规律及其影响因素。结果表明:（1）2000—2016年的全国肉类产量呈增加态势,增幅为43.5%,不同区域肉类产量差异较大。（2）全国肉类高产县数量增加显著,范围扩大,空间上呈条带状集聚特点,重心整体北移;其生产的集聚特征显著且相对稳定,但局部表现出一定差异。（3）自然资源禀赋、社会经济及农业技术在不同阶段都影响肉类生产空间格局的演变。粮食产量和第一产业增加值是主要因素,农业机械总动力影响逐年增大,不同因子间的交互作用会强化肉类生产空间分异的效果。