Quantifying forest fragmentation spatial process in the developing State of Selangor,peninsular Malaysia

Forest fragmentation has several phases; thus, the ecological significance of each phase during a particular period of time must be interpreted. To interpret, this study quantifies the magnitude of forest loss and the changes in the temporal pattern of fragmentation in the State of Selangor, peninsular Malaysia. Using the decision tree model of land transformation, five phases of forest fragmentation were identified: perforation, dissection, dissipation, shrinkage and attrition. This analysis showed that the magnitude of forest loss was the highest during the dissipation phase. The patchiness analysis showed that dissipation contributes to the highest environmental uncertainty found for the forest patches. This study can be considered a first step in the exploration of the properties and the behavioural pattern shown by the spatial process of forest fragmentation.     

The data not collected on community forestry

Conservation and development practitioners increasingly promote community forestry as a way to conserve ecosystem services, consolidate resource rights, and reduce poverty. However, outcomes of community forestry have been mixed; many initiatives failed to achieve intended objectives. There is a rich literature on institutional arrangements of community forestry, but there has been little effort to examine the role of socioeconomic, market, and biophysical factors in shaping both land‐cover change dynamics and individual and collective livelihood outcomes. We systematically reviewed the peer‐reviewed literature on community forestry to examine and quantify existing knowledge gaps in the community‐forestry literature relative to these factors. In examining 697 cases of community forest management (CFM), extracted from 267 peer‐reviewed publications, we found 3 key trends that limit understanding of community forestry. First, we found substantial data gaps linking population dynamics, market forces, and biophysical characteristics to both environmental and livelihood outcomes. Second, most studies focused on environmental outcomes, and the majority of studies that assessed socioeconomic outcomes relied on qualitative data, making comparisons across cases difficult. Finally, there was a heavy bias toward studies on South Asian forests, indicating that the literature on community forestry may not be representative of decentralization policies and CFM globally.     

The role of digital data entry in participatory environmental monitoring

Many argue that monitoring conducted exclusively by scientists is insufficient to address ongoing environmental challenges. One solution entails the use of mobile digital devices in participatory monitoring (PM) programs. But how digital data entry affects programs with varying levels of stakeholder participation, from nonscientists collecting field data to nonscientists administering every step of a monitoring program, remains unclear. We reviewed the successes, in terms of management interventions and sustainability, of 107 monitoring programs described in the literature (hereafter programs) and compared these with case studies from our PM experiences in Australia, Canada, Ethiopia, Ghana, Greenland, and Vietnam (hereafter cases). Our literature review showed that participatory programs were less likely to use digital devices, and 2 of our 3 more participatory cases were also slow to adopt digital data entry. Programs that were participatory and used digital devices were more likely to report management actions, which was consistent with cases in Ethiopia, Greenland, and Australia. Programs engaging volunteers were more frequently reported as ongoing, but those involving digital data entry were less often sustained when data collectors were volunteers. For the Vietnamese and Canadian cases, sustainability was undermined by a mismatch in stakeholder objectives. In the Ghanaian case, complex field protocols diminished monitoring sustainability. Innovative technologies attract interest, but the foundation of effective participatory adaptive monitoring depends more on collaboratively defined questions, objectives, conceptual models, and monitoring approaches. When this foundation is built through effective partnerships, digital data entry can enable the collection of more data of higher quality. Without this foundation, or when implemented ineffectively or unnecessarily, digital data entry can be an additional expense that distracts from core monitoring objectives and undermines project sustainability. The appropriate role of digital data entry in PM likely depends more on the context in which it is used and less on the technology itself.     

Hydromorphological and socio-cultural assessment of urban rivers to promote nature-based solutions in Jarabacoa,Dominican Republic

In Latin America and the Caribbean, river restoration projects are increasing, but many lack strategic planning and monitoring. We tested the applicability of a rapid visual social–ecological stream assessment method for restoration planning, complemented by a citizen survey on perceptions and uses of blue and green infrastructure. We applied the method at three urban streams in Jarabacoa (Dominican Republic) to identify and prioritize preferred areas for nature-based solutions. The method provides spatially explicit information for strategic river restoration planning, and its efficiency makes it suitable for use in data-poor contexts. It identifies well-preserved, moderately altered, and critically impaired areas regarding their hydromorphological and socio-cultural conditions, as well as demands on green and blue infrastructure. The transferability of the method can be improved by defining reference states for assessing the hydromorphology of tropical rivers, refining socio-cultural parameters to better address river services and widespread urban challenges, and balancing trade-offs between ecological and social restoration goals.Supplementary InformationThe online version contains supplementary material available at 10.1007/s13280-021-01565-3.     

模拟气候升温对湿地土壤微生物群落及磷素形态的影响

通过构建微宇宙湿地柱模拟气候升温的方法,采用高通量测序和核磁共振技术,分别研究了湿地土壤微生物群落和磷素形态对暖化作用的响应特征.结果表明,暖化作用导致了Firmicutes、Clostridia、Clostridiales、Clostridiaceae和Clostridium的相对丰度分别显著下降65%~98%、69%~87%、67%~87%、73%~97%和74%~93%,这表明暖化作用对不同分类水平上的物种Firmicutes到Clostridium具有显著的抑制效应.通过主坐标分析和聚类分析,不同湿地柱采样点的暖化组与对照组样本表现出显著的分离特征,揭示了暖化作用能够诱导微生物群落组成发生显著性变化.磷酸单酯和正磷酸盐是各湿地柱土壤主导的磷素形态,同时暖化作用导致了XX湿地柱采样点的磷酸单酯和正磷酸盐相对丰度分别显著升高275%和下降20%,JH湿地柱采样点的磷酸单酯和多聚磷酸盐相对丰度分别显著升高85%和下降49%,这表明不同磷素形态对暖化作用的响应具有土壤异质性特征.通过典型对应分析,揭示了暖化条件下微生物群落组成的显著变化对磷素形态具有显著的影响效应.     

土地利用规划环境影响评价若干问题探讨

土地利用规划环境影响评价的作用是为了实现土地的规划和环境相互适应、相互协调,为规划决策者提供一定的技术支撑。文章阐述了土地规划环境影响评价重要意义、内容及相关程序,同时也对此提出了针对性的建议,积极推进及完善土地利用规划环境影响评价在现阶段十分必要。     

崂山水库的浮游植物群落特征及变化研究

2007年-2011年连续5年,采用生物群落法,对崂山水库浮游植物的群落结构进行了监测分析.结果为：2011年崂山水库共检出浮游植物8门93种,库区优势种为尖针杆藻（S.acus）、小胶鞘藻（P.tenue）、卵形隐藻（Cryptomonas ovata）、尖尾蓝隐藻（Chroomonas acuta）.5年来群落结构相对稳定,浮游植物细胞密度呈上升趋势.库区为B-中污型水体.     

波流式生态滤床氨氮去除效果及其微生物群落结构分析

利用波流式生态滤床处理受污染的河水,考察了其对氨氮的去除效果和沿程污染物转化情况,并采用扫描电镜、高通量测序手段解析了波流式生态滤床不同时间和位置基质上生物膜的细菌群落组成,分析了波流式生态滤床小试反应器中硝化细菌和反硝化细菌的分布特点,以探讨其去除氨氮的机理.结果表明,反应器稳定运行以后,对氨氮平均去除率为74.83%,基质表面可以观察到大量微生物,不同时期优势细菌有较大不同.反应器前部主要发挥硝化作用,中部发挥反硝化作用,硝化菌的分布呈现上多下少、前多后少的特点,使得氨氮在前端被快速去除;中部以黄杆菌属(Flavobacterium)为代表的反硝化菌丰度较高,促进了反硝化作用的发挥,降低了出水中总氮浓度;不同部位样品中细菌多样性差别不大,微生物种群多样性随着水流方向呈现先增加,到后段减少的趋势.     

对中国综合风险管理机构体系建设的建议

在大量调研的基础上,分析了我国风险管理机构体系的现状和存在的问题,并以“统筹规划,专人负责,科学管理,共担风险”为原则,以梯形架构为理论基础,提出了对中国综合风险管理机构未来体系建设的一个建议,并对其进行了可行性分析。     

粮食基础设施震后恢复重建关键问题研究

在对汶川8.0级地震后绵阳市粮食基础设施破坏情况调研的基础上,提出恢复与发展并重、粮食基础设施节点与网络并行、推进行业整合和信息化的建设思路,规划了绵阳市灾后恢复重建的维修保障和重建发展项目,并对规划实施效果进行了经济和社会效益分析。