Improving protected area effectiveness through consideration of different human-pressure baselines

Previous assessments of the effectiveness of protected areas (PAs) focused primarily on changes in human pressure over time and did not consider the different human-pressure baselines of PAs, thereby potentially over- or underestimating PA effectiveness. We developed a framework that considers both human-pressure baseline and change in human pressure over time and assessed the effectiveness of 338 PAs in China from 2010 to 2020. The initial state of human pressure on PAs was taken as the baseline, and changes in human pressure index (HPI) were further analyzed under different baselines. We used the random forest models to identify the management measures that most improved effectiveness in resisting human pressure for the PAs with different baselines. Finally, the relationships between the changes in the HPI and the changes in natural ecosystems in PAs were analyzed with different baselines. Of PAs with low HPI baselines, medium HPI baselines, and high HPI baselines, 76.92% (n=150), 11.11% (n=12), and 22.86% (n=8) , respectively, showed positive effects in resisting human pressure. Overall, ignoring human-pressure baselines somewhat underestimated the positive effects of PAs, especially for those with low initial human pressure. For PAs with different initial human pressures, different management measures should be taken to improve effectiveness and reduce threats to natural ecosystems. We believe our framework is useful for assessing the effectiveness of PAs globally, and we recommend it be included in the Convention on Biological Diversity Post-2020 Strategy.     

基于大数据监管平台的通信基站监督性监测技术模式

提出一种基于大数据监管平台的通信基站监督监测技术模式,利用大数据监管平台实现监督监测对象的自动筛选、开展线上全流程监测、自动分析比对监测结果,并将该技术模式用于2019年和2020年广东省10.5万个通信基站的监督监测。结果表明,通信基站备案基础信息的相符率为75.3%~98.6%;社会化监测机构关键点位电磁环境监测结果相符率为60.0%~92.3%。该结果可用于评估广东省通信基站建设单位备案的基础信息相符性结果和社会化监测机构监测质量。     

Element Removal in Harvested Tree Biomass: Scenarios for Critical Loads in Wallonia,South Belgium

The critical load concept is nowwidely used as a tool for developing emissioncontrol policies in Europe. As a signatorycountry of the Convention of Long-RangeTransboundary Air Pollution, critical loads foracidity, nutrient nitrogen, nitrogen and sulphurhave been calculated for the Flemish and Walloonregions in Belgium. This paper describes themethodology used for estimating critical loadsfor forest soils in the Walloon region accordingto the Steady-State Mass Balance equations. As anexample the methodology was applied to thecatchment `Waroneu', situated in a sensitive areaof the Haute Ardenne. Main input parameters tothe equations were derived from precipitation andrunoff data of the catchment study. Improvedestimates of nitrogen uptake (Nu) and base cationuptake (BCu) were obtained by intensive samplingof Picea abies and Quercus roburtrees. Nutrient contents (Ca, Mg, K, N) andnutrient to nitrogen ratios of Picea abiesreflected the poor soil quality at a site withhigh N deposition. Quercus robur nutrientcontents increased from stem to higher orderbranches with a high proportion of nutrientslocated in the bark. However the simulation ofstem only harvesting had a minor effect oncritical loads. Measured wood densities werelower than reported literature values with a maineffect on Nu and BCu estimates. The use ofrecommended default values and/or data derivedfrom the experimental site resulted in a widerange of critical loads, some of which werelargely overestimated. Results demonstrated theimportance of site specific data for criticalload calculations.     

A Global Baseline for Spawning Aggregations of Reef Fishes

Abstract: Species that periodically and predictably congregate on land or in the sea can be extremely vulnerable to overexploitation. Many coral reef fishes form spawning aggregations that are increasingly the target of fishing. Although serious declines are well known for a few species, the extent of this behavior among fishes and the impacts of aggregation fishing are not appreciated widely. To profile aggregating species globally, establish a baseline for future work, and strengthen the case for protection, we (as members of the Society for the Conservation of Reef Fish Aggregations) developed a global database on the occurrence, history, and management of spawning aggregations. We complemented the database with information from interviews with over 300 fishers in Asia and the western Pacific. Sixty‐seven species, mainly commercial, in 9 families aggregate to spawn in the 29 countries or territories considered in the database. Ninety percent of aggregation records were from reef pass channels, promontories, and outer reef‐slope drop‐offs. Multispecies aggregation sites were common, and spawning seasons of most species typically lasted <3 months. The best‐documented species in the database, the Nassau grouper (Epinephelus striatus), has undergone substantial declines in aggregations throughout its range and is now considered threatened. Our findings have important conservation and management implications for aggregating species given that exploitation pressures on them are increasing, there is little effective management, and 79% of those aggregations sufficiently well documented were reported to be in decline. Nonetheless, a few success stories demonstrate the benefits of aggregation management. A major shift in perspective on spawning aggregations of reef fish, from being seen as opportunities for exploitation to acknowledging them as important life‐history phenomena in need of management, is urgently needed.     

A model of Cellular Automata for the spatial and temporal analysis of Citrus Sudden Death with the fuzzy parameter

Citrus Sudden Death (CSD) is a disease that has affected sweet orange trees grafted on Rangpur lime in the south of Minas Gerais state and in the north of São Paulo state (Brazil). This is a worrying characteristic because the Rangpur lime responds to 85% of the Brazilian citrus rootstocks. This disease is believed to be caused by a virus transmitted by aphids (vector) of the citrus. In this work, we have adopted the Cellular Automata model (CA) to study the temporal evolution of the disease. We take into account the effect of the wind in the space covered by the aphid. To establish the relationship between the space covered by the aphid and the intensity of the wind, we have adopted the rule-based fuzzy system. Simulations were performed and compared to real data. Through the use of the mean absolute error (MAE) method, it was possible to verify a 70% of similarity between our model of data and the real one.     

我国部分商品粮基地土壤重金属污染的差异分析与综合评价探讨

根据1988年全国农业环境质量状况调查资料,选取我国部分商品粮基地县土壤重金属污染数据(污染指数),通过多元统计分析,揭示了各商品粮基地土壤重金属污染的差异与分类.建立模糊综合评判模型对各商品粮基地土壤污染状况进行了综合评价,得到了各商品粮基地土壤污染程度的相对排序.      

大气污染总量控制规划智能决策支持系统的开发与研究

对大气污染总量控制规划智能决策支持系统的开发步骤和总体结构做了介绍。并描述了该系统中的知识库系统、模型库系统、数据库系统和图形库系统的设计思想,特别是对知识库的构造进行了较详细的叙述。还介绍了神经网络技术在该系统中的应用。指出大气污染总量控制规划智能决策支持系统将为大气污染总量控制提供更科学、更合理、更有效的规划方案。     

中国省级环境决策支持系统的系统分析

中国省级环境决策支持系统(DSS)是基于GIS和各种模型的空间决策支持系统?该文介绍了DSS系统的系统分析方法和内容,包括软件需求说明?数据需求说明和总体设计      

浅谈环境信息中的GIS技术和中介数据

介绍了在环境信息系统中GIS技术所具有的功能和中介数据的作用及其规范化问题;并结合中国省级环境决策支持系统的开发,介绍了它们在环境信息中的使用。      

离子阱质谱库的建立与研究

该质谱库建有510种环境中常见有机化合物的质谱数据,其中含中国环境优先控制污染物名单中列入的有机化合物63种,U．S．EPA清洁水法中规定的重点有机污染物95种,覆盖率达80％～90％,该谱库可应用于离子阱检测系统的谱库检索,提高了对未知化合物鉴定的可靠性。