Potential natural vegetation and pre‐anthropic pollen records on the Azores Islands in a Macaronesian context

This paper discusses the concept of potential natural vegetation (PNV) in the light of the pollen records available to date for the Macaronesian biogeographical region, with emphasis on the Azores Islands. The classical debate on the convenience or not of the PNV concept has been recently revived in the Canary Islands, where pollen records of pre‐anthropic vegetation seemed to strongly disagree with the existing PNV reconstructions. Contrastingly, more recent PNV model outputs from the Azores Islands show outstanding parallelisms with pre‐anthropic pollen records, at least in qualitative terms. We suggest the development of more detailed quantitative studies to compare these methodologies as an opportunity for improving the performance of both. PNV modelling may benefit by incorporating empirical data on past vegetation useful for calibration and validation purposes, whereas palynology may improve past reconstructions by minimizing interpretative biases linked to differential pollen production, dispersal and preservation.     

Structural diversity indices based on airborne LiDAR as ecological indicators for managing highly dynamic landscapes

An objective, quantifiable index of structural biodiversity that could be rapidly obtained with reduced or no field effort is essential for the use of structure as universal ecological indicator for ecosystem management. Active remote sensing provides a rapid assessment tool to potentially guide land managers in highly dynamic and spatially complex landscapes. These landscapes are often dependent on frequent disturbance regimes and characterized by high endemism.We propose a modified Shannon–Wiener Index and modified Evenness Index as stand structural complexity indices for surrogates of ecosystem health. These structural indices are validated at Tall Timbers Research Station the site of one of the longest running fire ecology studies in southeastern U.S. This site is dominated by highly dynamic pine-grassland woodlands maintained with frequent fire. Once the dominant ecosystem in the Southeast, this woodland complex has been cleared for agriculture or converted to other cover types, and depends on a frequent (1- to 3-year fire return interval) low- to moderate-intensity fire regime to prevent succession to mixed hardwood forests and maintain understory species diversity. Structural evaluation of the impact of multiple disturbance regimes included height profiles and derived metrics for five different fire interval treatments; 1-year, 2-year, 3-year, mixed fire frequency (a combination of 2- and 4-year fire returns), and fire exclusion. The 3-dimensional spatial arrangement of structural elements was used to assess hardwood encroachment and changes in structural complexity. In agreement with other research, 3-year fire return interval was considered to be the best fire interval treatment for maintaining the pine-grassland woodlands, because canopy cover and vertical diversity indices were shown to be statistically higher in fire excluded and less frequently burned plots than in 1- and 2-year fire interval treatments. We developed a LiDAR-derived structural diversity index, LHDI, and propose that an ecosystem-specific threshold target for management intervention can be developed, based on significant shifts in structure and composition using this new index.Structural diversity indices can be valuable surrogates of ecosystem biodiversity, and ecosystem-specific target values can be developed as objective quantifiable goals for conservation and ecosystem integrity, particularly in remote areas.     

Ancient woodland indicators signal the climate change risk for dispersal-limited species

The climate change risk to biodiversity operates alongside a range of anthropogenic pressures. These include habitat loss and fragmentation, which may prevent species from migrating between isolated habitat patches in order to track their suitable climate space. Predictive modelling has advanced in scope and complexity to integrate: (i) projected shifts in climate suitability, with (ii) spatial patterns of landscape habitat quality and rates of dispersal. This improved ecological realism is suited to data-rich model species, though its broader generalisation comes with accumulated uncertainties, e.g. incomplete knowledge of species response to variable habitat quality, parameterisation of dispersal kernels etc. This study adopts ancient woodland indicator species (lichen epiphytes) as a guild that couples relative simplicity with biological rigour. Subjectively-assigned indicator species were statistically tested against a binary habitat map of woodlands of known continuity (>250 yr), and bioclimatic models were used to demonstrate trends in their increased/decreased environmental suitability under conditions of ‘no dispersal’. Given the expectation of rapid climate change on ecological time-scales, no dispersal for ancient woodland indicators becomes a plausible assumption. The risk to ancient woodland indicators is spatially structured (greater in a relative continental compared to an oceanic climatic zone), though regional differences are weakened by significant variation (within regions) in woodland extent. As a corollary, ancient woodland indicators that are sensitive to projected climate change scenarios may be excellent targets for monitoring climate change impacts for biodiversity at a site-scale, including the outcome of strategic habitat management (climate change adaptation) designed to offset risk for dispersal-limited species.     

The dynamics of experimental arable weed communities under different management practices

Abstract. Weed communities, comprising 12 introduced species at constant starting densities and three species already present in the seed bank, were followed through three years of continuous winter wheat. The wheat and weeds were subjected to two treatments in a split-plot factorial design, organic contrasting with conventional fertilizer, and ploughing plus hand-roguing contrasting with minimum tillage plus herbicide. The minimum tilled plots developed in a uniform manner, and became dominated by very high densities of Anisantha sterilis. Agrostemma githago and Galium aparine also persisted in these plots at lower densities. The ploughed plots had a lower total density but a greater range of species. Stellaria media, Veronica persica and Avena fatua were the most common; other species occurred at lower densities. The major effect of fertilizer treatment was a greater initial increase by G. aparine on the organic, minimum tilled plots compared with the conventionally fertilized, minimum tilled plots. Species associated with minimum tillage were annuals with either no or a short term seed bank and autumn germination and rather predictable dynamics, whereas species that did well under ploughing were either spring germinating or had a persistent seed bank, implying greater annual variation in population size associated with weather conditions. There seemed no clear way to distinguish between those species which were abundant on the ploughed plots and those which were scarce under all conditions using readily accessible data.     

Mechanisms and therapeutic targets for neuropathic itch

Neuropathic pruritus conditions arise from structural and/or functional damage of the peripheral or central nervous system. Novel findings of pruritus specific mediators and pathways strengthen the specificity theory of pruritus transmission, however electrophysiological studies suggest that focal activation of nociceptors and distinct discharge patterns of primary afferents also contribute to the development of the sensation of pruritus. A complex interplay between excitatory and inhibitory interneurons at spinal level, non-neuronal cells and descending modulation from upper centers contributes to neuronal sensitization and clinically to the chronicity of pruritus, as well as accompanying phenomena such as alloknesis and hyperknesis. Several topical, systemic and non-pharmacological therapeutic approaches directed at distinct targets are currently available.     

基于4种生态位模型的金钱松潜在适生区预测

金钱松（Pseudolarix amabilis）是我国特有孑遗植物，为国家II级保护植物。基于4种生态位模型（GARP、Bioclim、Domain和Maxent）预测金钱松潜在适生区，采用受试者工作特征曲线（Receiver Operating Characteristic，ROC）和Kappa统计量检验模型的预测效果。预测结果表明金钱松在浙江西北部、安徽南部、湖北南部、湖南北部以及江西北部表现为高度适生，并以这些地带为中心向外延伸至北纬24.43°-33.35°和东经106.41°-123.42°之间，4种模型预测结果的受试者工作特征曲线下面积（Area under recriver operating characteristic curve，AUC）平均值均大于0.9，Kappa平均值亦大于0.75，精度较高。通过"刀切法"分析得出年均温是预测金钱松潜在适生区的关键影响因子，可能为当前金钱松分布格局形成的决定因素。模拟金钱松在末次盛冰期和2070年气候条件下的分布，结果表明其分布格局随气候变化由"南扩北缩"变为"南缩北扩"，未来分布面积将大幅减小，气候变化是导致其"南缩北扩"的主要驱动因子。建议在当前金钱松高适分布区域内（江西铜鼓县、湖南张家界和衡阳）建立自然保护区或种子园，并在未来气候条件下高适分布区域内（如安徽北部、河南南部、湖北东南部等地）通过人工引种辅助金钱松的北向迁移。     

城市近郊型乡镇农业生态经济系统生态潜力及产业空间布局——以延安市河庄坪镇为例

生态脆弱区抗干扰能力弱，明确其系统的生态潜力，在潜力的基础上开发利用资源对区域的可持续发展具有重要的意义。研究基于生态系统服务价值视角，尝试测度农业生态经济系统生态潜力，同时以三产融合典型代表乡镇为研究对象，对其农业生态经济系统生态潜力和主导产业进行时空分析，最后对生态系统加以功能分区。结果显示：（1）气体调节、气候调节、水源涵养和土壤形成与保护是生态系统提供的主要服务功能。随退耕还林工程实施，林地面积的增加使生态系统服务价值量随之上升，在空间上呈现"中间低两翼高"的格局。（2）农业生态经济系统生态潜力受服务价值与资源开发过程影响，与生态系统服务价值在空间上相对一致，呈现出"两翼高中间低，北高南低"的分布格局，其中，退耕还林工程的推进直接导致林地的生态潜力增加，耕地的生态潜力减少。（3）研究区在退耕过程中形成以大棚种植为主的设施农业、以农林特色销售为主的商品型种植农业，以山地苹果为主的林果产业以及以酒店商贸为主的服务行业。并随城镇一体化的推进，主导产业呈现出由传统粗放型大田种植向集约型设施农业方向发展。在空间上形成了以镇区分布为主的第三产业、依托拐沟坡地的林果产业和沿川道展开的设施农业的产业布局。（4）基于生态系统服务价值，研究区农业生态经济系统功能区划分为城镇生态环境维护区（第Ⅰ类型区）、农业生态保护区（第Ⅱ类型区）、生态安全屏障区（第Ⅲ类区）3个区域。     

Evaluation of Cyanogenic Potentials of Local Cassava Species and Residual Cyanide Contents of Their Locally Processed Food Products in Southeast Nigeria

The cyanogenic potentials and residual cyanide contents of local cassava parenchyma and their locally processed food products in southeastern Nigeria were studied. Seven species of cassava locally grown and four main food products from them were analyzed colorimetrically for their cyanide contents. Results of the analyses indicated that five of the species contain cyanide potentials between 50 and 100 mg HCN/kg fresh weight while only one contains cyanogens level greater than 100 mg HCN/kg fresh weight. Of the cassava products analyzed, two contained cyanide above the level recommended by the WHO/FAO (10 mg HCN/kg). The result raises concern as these cassava products constitute about 80–90% of the diet of the local people and the facts known about cyanide poisoning from intake of high cyanide containing food.