Synergies and trade-offs among integrated conservation approaches in Mexico

Integrated conservation approaches (ICAs) are employed by governments, communities, and nongovernmental organizations worldwide seeking to achieve outcomes with dual benefits for biodiversity conservation and poverty alleviation. Although ICAs are frequently implemented concurrently, interactions among ICAs and the synergies or trade-offs that result are rarely considered during program design, implementation, and evaluation. In support of more deliberate and effective use of ICAs, we examined interactions among four well-known strategies: biosphere reserves (BRs), voluntary protected areas (VPAs), payments for ecosystem services (PES), and community forest management (CFM). Through a comparative case study, we analyzed interactions among spatially or temporally clustered ICAs implemented on communally held and managed lands in three ecologically and socioeconomically distinct regions of Mexico. Our research methods combined policy analysis with data gathered through participant observation and semistructured interviews (n = 78) and focus groups (n = 5) with government officials, implementers, and participants involved in ICAs in 28 communities. Despite the significant differences among the regions in which they were implemented, we found that key actors at each level of involvement generally perceived interactions among ICAs as synergistic. The PES programs were perceived to strengthen protected areas by reducing forest cover loss in and around BRs, fostering proconservation attitudes, and incentivizing the establishment of VPAs. Communities that invested PES income in CFM were motivated to conserve forests beyond the duration of PES programs, and CFM in buffer zones was perceived to strengthen BRs by maintaining forest cover and generating income for communities. We also identified key social and environmental factors that can influence these interaction effects among ICAs. Based on these findings, we recommend further study of ICA interactions and intentionally complementary policy design to maximize positive environmental and social outcomes.     

Exposing ecological and economic costs of the research‐implementation gap and compromises in decision making

The frequently discussed gap between conservation science and practice is manifest in the gap between spatial conservation prioritization plans and their implementation. We analyzed the research‐implementation gap of one zoning case by comparing results of a spatial prioritization analysis aimed at avoiding ecological impact of peat mining in a regional zoning process with the final zoning plan. We examined the relatively complex planning process to determine the gaps among research, zoning, and decision making. We quantified the ecological costs of the differing trade‐offs between ecological and socioeconomic factors included in the different zoning suggestions by comparing the landscape‐level loss of ecological features (species occurrences, habitat area, etc.) between the different solutions for spatial allocation of peat mining. We also discussed with the scientists and planners the reasons for differing zoning suggestions. The implemented plan differed from the scientists suggestion in that its focus was individual ecological features rather than all the ecological features for which there were data; planners and decision makers considered effects of peat mining on areas not included in the prioritization analysis; zoning was not truly seen as a resource‐allocation process and not emphasized in general minimizing ecological losses while satisfying economic needs (peat‐mining potential); and decision makers based their prioritization of sites on site‐level information showing high ecological value and on single legislative factors instead of finding a cost‐effective landscape‐level solution. We believe that if the zoning and decision‐making processes are very complex, then the usefulness of science‐based prioritization tools is likely to be reduced. Nevertheless, we found that high‐end tools were useful in clearly exposing trade‐offs between conservation and resource utilization.     

Influence of influent on anaerobic ammonium oxidation in an Expanded Granular Sludge Bed-Biological Aerated Filter integrated system

Shortcut nitrification-denitrification, anaerobic ammonium oxidation (ANAMMOX), and methanogenesis have been successfully coupled in an Expanded Granular Sludge Bed-Biological Aerated Filter (EGSB-BAF) integrated system. As fed different synthetic wastewater with chemical oxygen demand (COD) of 300–1200 mg·L^-1 and NH4+-N of 30–120 mg·L^-1 at the outer recycle ratio of 200%, the influence of influent on ANAMMOX in the integrated system was investigated in this paper. The experimental results showed that higher COD concentration caused an increase in denitrification and methanogenesis but a decrease in ANAMMOX; however, when an influent with the low concentration of COD was used, the opposite changes could be observed. Higher influent NH4+-N concentration favored ANAMMOX when the COD concentration of influent was fixed. Therefore, low COD/NH4+-N ratio would decrease competition for nitrite between ANAMMOX and denitrification, which was favorable for reducing the negative effect of organic COD on ANAMMOX. The good performance of the integrated system indicated that the bacterial community of denitrification, ANAMMOX, and methanogenesis could be dynamically maintained in the sludge of EGSB reactor for a certain range of influent.     

六溴环十二烷暴露对红鳍笛鲷脑乙酰胆碱酯酶和组织氧化应激的影响及评价

六溴环十二烷(C_(12)H_(18)Br_6,简称HBCD)是近年来在环境中广受关注的优先污染物和高产量化学品。实验室条件下以红鳍笛鲷为研究对象,选取其脑组织非特异性生物标志物超氧化物歧化酶(superoxide dismutase,SOD)、谷胱甘肽巯基转移酶(glutathione S-transferases,GST)和丙二醛(malondialdehyde,MDA)及特异性生物标志物乙酰胆碱酯酶(acetylcholinesterase,ACh E)为指标研究了不同浓度HBCD溶液(8.6μg·L~(-1)、43.0μg·L~(-1)和215μg·L~(-1))暴露96 h对红鳍笛鲷脑组织的氧化损伤和神经毒性效应,同时结合综合生物标志物响应指数(integrated biomarker responses index,IBR),对HBCD造成的胁迫水平和毒性效应进行评价。结果表明:HBCD对红鳍笛鲷脑组织中SOD活性和GST活性表现出不同程度的诱导效应,其中暴露初期SOD活性与HBCD浓度呈正相关,但随暴露时间延长与HBCD浓度呈负相关;HBCD对MDA含量和ACh E活性表现出诱导或抑制且存在剂量依赖性,低浓度组MDA含量表现为先抑制后诱导的过程,ACh E活性表现为先诱导后抑制;中浓度组MDA含量和ACh E均表现为抑制效应;高浓度组MDA含量表现为先诱导后抑制的过程,ACh E活性表现为先抑制后诱导。IBR分析结果表明4种生物标志物对HBCD胁迫的敏感性分别为SODGSTACh EMDA,且中、高浓度组的胁迫效应最明显。     

微纳米曝气对植物浮床处理支浜水脱氮效果的影响

为探索微纳米曝气技术对再力花植物浮床脱氮的影响,研究了不同曝气方式〔微纳米曝气组、鼓风曝气组、无曝气浮床(对照组)〕的处理效果. 结果表明,与对照组相比,微纳米曝气组对TN和NH₄+-N的去除率提高了13.35%和21.72%,而鼓风曝气组分别提高了5.64%和10.61%. 但微纳米曝气形成的富氧环境不利于NO₃--N的去除,去除率低于鼓风曝气组和对照组浮床. 微纳米曝气对植物的生长有显著改善,试验结束时植物生物量增加了65.38%,而鼓风曝气组、对照组分别只增加了21.05%及63.93%. 植物吸收的TN也存在显著差异,微纳米曝气组最高,为90.60 mg,鼓风曝气组为54.84 mg,对照组为63.42 mg. 微纳米曝气比鼓风曝气具有更好的充氧效果,可显著改变植物根系微环境,有利于植物根系氨化细菌、硝化细菌的生长,但不利于反硝化细菌的生长.      

二氧化硫衍生物对背根神经元钙通道的影响

应用全细胞膜片钳技术研究了SO₂衍生物对大鼠DRG(背根神经节)神经元不同亚型钙通道的影响. 结果表明,1 μmol/L SO₂衍生物对不同电压下的钙电流均有增大作用,在-10 mV时可使钙电流增幅达到63.4%±5.7%. 在细胞外液中加入不同亚型钙通道的阻滞剂并经过修正计算发现,1 μmol/L SO₂衍生物使L型钙电流增长了82.2%,N型钙电流增长了95.3%,r型(非L型、非N型)钙电流增长了9.4%,说明高阈值激活的N型和L型钙电流对SO₂衍生物特别敏感,推测SO₂衍生物诱发神经性疼痛,引起神经毒性,可能主要通过增大DRG神经元上N型和L型钙通道发生电流介导.      

Modelling global-scale potential grassland changes in spatio-temporal patterns to global climate change

Grassland is one of the most widespread vegetation types worldwide and plays a significant role in global carbon cycling. Understanding the sensitivity of grassland to climate change and the effect of climate changes on the grassland ecosystems is a key issue in global carbon cycling. One of the goals of this study was to evaluate the three net primary productivity (NPP)–climate models, i.e. the Miami model, the Schuur model and the classification indices-based model. Results indicated that the classification indices-based model was the most effective model at estimating large-scale grassland NPP. In this research, changes in the spatial pattern of global potential grassland from recent past (1950–2000) to future (2001–2050) A2a scenario were analysed with the integrated orderly classification system of grassland (IOCSG) approach in a Geographic Information System (GIS) environment. NPP was evaluated with the classification indices-based model. Results indicate that under recent past climatic conditions, the main parts of global grassland are the savanna and tundra and alpine grassland and will be converted into the savanna, steppe and semi-desert grassland in A2a scenario. As a whole, areas of grassland will increase by 31.76 million hectares. The classification indices-based model estimated a 12.40% increase of total NPP in grassland from recent past to A2a scenario. It will impose a new issue for future grassland researches to support sustainable development and to provide action relevant knowledge to meet the challenge of climate change.     

高含硫气田集气站设备定量风险评价

为预防高含硫天然气泄漏事故和制定设备检测策略,对集气站设备进行定量风险评价。利用DNV Leak数据库得到集气站关键设备的同类失效频率,利用API 581标准对同类失效频率修正得到失效频率。用PHAST软件计算4种典型泄漏孔尺寸的燃烧爆炸和毒性的影响区域范围,确定设备的燃烧爆炸风险和毒性风险。结果表明,利用该方法能够确定设备风险大小顺序。     

基于灰色马尔科夫模型的钻孔瓦斯流量预测

钻孔瓦斯流量是影响矿井瓦斯抽放效果的一个重要因素,为准确预测钻孔瓦斯流量,优化矿井瓦斯抽放工艺,将灰色系统理论与马尔科夫链预测相结合,充分利用两者的优点,通过对瓦斯流量原始数据处理,瓦斯流量状态划分,构建马尔科夫转移概率矩阵及Matlab分析软件进行计算的方法,建立灰色马尔科夫预测模型。结合现场工程实例,将该预测模型和GM(1,1)预测模型进行比较分析,结果表明,利用灰色马尔科夫模型预测钻孔瓦斯流量,能够消除GM(1,1)模型本身固有偏差,预测值平均相对误差为2.16%,最大相对误差仅为5.40%,均优于GM(1,1)模型。     

洪灾综合风险的结构特征分析

洪灾风险研究从单一风险转向综合风险,将是防洪减灾理论发展的必然趋势,而结构特征分析则是洪灾综合风险研究的首要任务。首先,应用灾害学的研究理论探讨洪水灾害的风险性,建立由致灾因子的危险性、孕灾环境的脆弱绝对性、承灾体易损相对性及用于洪灾风险宏观评价的灾情损失评估所组成的洪灾风险分析的宏观结构,并给出了相应的量化途径;其次,从模型分析的角度,分析了由洪水风险、防洪工程风险、防洪投资风险、洪泛区风险、洪水生态环境风险和防洪决策风险6个方面组成的洪灾综合风险特征,构建以洪水为中心的洪灾风险链的微观结构,并应用概率论方法,给出了相应的量化概念模型;最后,对洪灾综合风险的结构进行了系统分析。