Distribution of duck broods relative to habitat characteristics in the Prairie Pothole Region

Conservation programs for breeding ducks in the Prairie Pothole Region (PPR) of the United States and Canada require effective means of evaluating and characterizing breeding habitat across large landscapes. Extensive surveys of the distribution of duck broods in late-summer could help identify wetland basins with greater probabilities of occupancy. Broods are difficult to detect, however, rendering presence–absence data from single-visit surveys difficult to interpret, particularly when probability of detection is related to habitat features. Multiple-visit occupancy surveys offer a potential solution. From 20 July to 5 August 2007–2009, we conducted a 3-visit survey of wetland basins located on 167 10.4-km² study plots in the PPR. Our survey focused on broods of the 5 most common breeding duck species (Anas spp.). Our main objectives were to investigate ecological relationships between occupancy of wetland basins by broods and habitat characteristics and to examine if habitat-specific detection was of enough concern to warrant multi-survey approaches in the future. We surveyed 3,226 wetland basins during the study. Probability of occupancy of a wetland basin by a brood was positively related to the log of wet area for all 5 study species and was greater on wetlands located on plots with a greater proportion of herbaceous perennial cover for 4 of 5 species. For example, the median probability of occupancy for gadwall (Anas strepera) increased from 0.08 (90% Credible Interval [CrI]: 0.07, 0.10) to 0.28 (90% CrI: 0.23, 0.33) as wet area increased from 0.19 ha to 2.12 ha, and increased from 0.12 (90% CrI: 0.09, 0.16) to 0.20 (90% CrI: 0.16, 0.25) as proportion of perennial grass cover on the study plot increased from 0.03 to 0.99. Because occupancy and detection were both related to attributes of wetland basins, we concluded that the multiple-visit survey was a useful approach for identifying habitat relationships of duck broods. Our results indicated that most broods of the study species were found in 10.4-km² landscapes with greater densities of small- to mid-sized wetland basins and a greater proportion of herbaceous perennial vegetation. Our study provided new empirical support that could be used to help target conservation actions to the most productive landscapes for breeding ducks. © 2012 The Wildlife Society.     

Social encounter networks: characterizing Great Britain

A major goal of infectious disease epidemiology is to understand and predict the spread of infections within human populations, with the intention of better informing decisions regarding control and intervention. However, the development of fully mechanistic models of transmission requires a quantitative understanding of social interactions and collective properties of social networks. We performed a cross-sectional study of the social contacts on given days for more than 5000 respondents in England, Scotland and Wales, through postal and online survey methods. The survey was designed to elicit detailed and previously unreported measures of the immediate social network of participants relevant to infection spread. Here, we describe individual-level contact patterns, focusing on the range of heterogeneity observed and discuss the correlations between contact patterns and other socio-demographic factors. We find that the distribution of the number of contacts approximates a power-law distribution, but postulate that total contact time (which has a shorter-tailed distribution) is more epidemiologically relevant. We observe that children, public-sector and healthcare workers have the highest number of total contact hours and are therefore most likely to catch and transmit infectious disease. Our study also quantifies the transitive connections made between an individual''s contacts (or clustering); this is a key structural characteristic of social networks with important implications for disease transmission and control efficacy. Respondents'' networks exhibit high levels of clustering, which varies across social settings and increases with duration, frequency of contact and distance from home. Finally, we discuss the implications of these findings for the transmission and control of pathogens spread through close contact.     

RNA approaches the B‐form in stacked single strand dinucleotide contexts

Duplex RNA adopts an A‐form structure, while duplex DNA interconverts between the A‐ and B‐forms depending on the environment. The C2′‐endo sugar pucker seen in B‐form DNA can occur infrequently in ribose sugars as well, but RNA is not understood to assume B‐form conformations. Through analysis of over 45,000 stacked single strand dinucleotide (SSD) crystal structure conformations, this study demonstrates that RNA is capable of adopting a wide conformational range between the canonical A‐ and B‐forms at the localized SSD level, including many B‐form‐like conformations. It does so through C2′‐endo ribose conformations in one or both nucleotides, and B‐form‐like neighboring base stacking patterns. As chemical reactions on nucleic acids involve localized changes in chemical bonds, the understanding of how enzymes distinguish between DNA and RNA nucleotides is altered by the energetic accessibility of these rare B‐form‐like RNA SSD conformations. The existence of these conformations also has direct implications in parametrization of molecular mechanics energy functions used extensively to model nucleic acid behavior., 2016. © 2015 Wiley Periodicals, Inc. Biopolymers 105: 65–82, 2016     

Multidimensional biases,gaps and uncertainties in global plant occurrence information

Plants are a hyperdiverse clade that plays a key role in maintaining ecological and evolutionary processes as well as human livelihoods. Biases, gaps and uncertainties in plant occurrence information remain a central problem in ecology and conservation, but these limitations remain largely unassessed globally. In this synthesis, we propose a conceptual framework for analysing gaps in information coverage, information uncertainties and biases in these metrics along taxonomic, geographical and temporal dimensions, and apply it to all c. 370 000 species of land plants. To this end, we integrated 120 million point‐occurrence records with independent databases on plant taxonomy, distributions and conservation status. We find that different data limitations are prevalent in each dimension. Different metrics of information coverage and uncertainty are largely uncorrelated, and reducing taxonomic, spatial or temporal uncertainty by filtering out records would usually come at great costs to coverage. In light of these multidimensional data limitations, we discuss prospects for global plant ecological and biogeographical research, monitoring and conservation and outline critical next steps towards more effective information usage and mobilisation. Our study provides an empirical baseline for evaluating and improving global floristic knowledge, along with a conceptual framework that can be applied to study other hyperdiverse clades.     

Using spatially explicit commodity flow and truck activity data to map urban material flows

To analyze and promote resource efficiency in urban areas, it is important to characterize urban metabolism and particularly, material flows. Material flow analysis (MFA) offers a means to capture the dynamism of cities and their activities. Urban‐scale MFAs have been conducted in many cities, usually employing variants of the Eurostat methodology. However, current methodologies generally reduce the study area into a “black box,” masking details of the complex processes within the city's metabolism. Therefore, besides the aggregated stocks and flows of materials, the movement of materials—often embedded in goods or commodities—should also be highlighted. Understanding the movement and dispersion of goods and commodities can allow for more detailed analysis of material flows. We highlight the potential benefits of using high‐resolution urban commodity flows in the context of understanding material resource use and opportunities for conservation. Through the use of geographic information systems and visualizations, we analyze two spatially explicit datasets: (1) commodity flow data in the United States, and (2) Global Positioning System‐based commercial vehicle (truck) driver activity data in Singapore. In the age of “big data,” we bring advancements in freight data collection to the field of urban metabolism, uncovering the secondary sourcing of materials that would otherwise have been masked in typical MFA studies. This brings us closer to a consumption‐based, finer‐resolution approach to MFA, which more effectively captures human activities and its impact on urban environments.     

Unwanted Horse Population in Illinois: Perceptions of Horse Owners,Non-Horse Owners,and Equine Industry Stakeholders

This paper presents the results of an investigation to determine perceptions, awareness, and knowledge of the unwanted horse population in Illinois from the viewpoint of horse owners, non-horse owners, and equine industry stakeholders. A questionnaire included items that pertained to knowledge of current legislation, equine background, current methods of controlling the unwanted horse population, and methods that respondents believe would reduce the unwanted horse population in Illinois. Results indicated that 58% of horse owners viewed horses as companion animals. Respondents perceived financial hardship to be the major reason why horses become unwanted. Current methods of managing unwanted horse populations were found to be ineffective. Reducing the costs of euthanasia and carcass disposal, allowing processing facilities to reopen in Illinois, and increasing the availability of gelding programs emerged as the most effective ways to manage the unwanted horse population. Results of this survey may lead to greater awareness of the unwanted horse population in Illinois. Furthermore, these results may lead to discussions about future legislation in the State designed to support and manage unwanted horses.     

利用红外相机公里网格调查钱江源国家公园的兽类及鸟类多样性

2014年5月至2019年4月, 作者采用红外相机技术调查了浙江省钱江源国家公园的兽类及鸟类多样性。将整个国家公园划分为267个1 km × 1 km的调查网格, 每个网格内设置3个固定调查位点, 使用1台红外相机定期在同一网格内的位点之间进行轮换。其中, 古田山片区在5年内共完成14轮次调查, 古田山以外的区域自2018年7月纳入调查范围, 何田、长虹片区完成2次轮换, 齐溪片区完成1次轮换。在253个网格内的741个有效位点上共获得140,413个相机工作日的数据, 采集兽类和鸟类的照片和视频268,833份, 有效探测数74,368次, 鉴定出21种野生兽类, 72种野生鸟类, 5种家畜及家禽。包括国家一级重点保护野生动物2种, 即黑麂(Muntiacus crinifrons)、白颈长尾雉(Syrmaticus ellioti); 国家二级重点保护野生动物17种, 合计占野生物种总数的20.4%。被IUCN物种红色名录评估为易危(VU)的5种, 近危(NT)的4种, 合计占物种总数的9.7%。被中国脊椎动物红色名录评估为濒危(EN)的1种, 易危(VU)的9种, 近危(NT)的10种, 合计占物种总数的21.5%。相对多度指数最高的大中型兽类为小麂(Muntiacus reevesi), 鸟类为白鹇(Lophura nycthemera)。本次调查获得了国家公园内兽类和鸟类的多样性组成、空间分布和相对多度, 为长期科研监测和科学管理提供了基础数据。     

贵州梵净山国家级自然保护区鸟兽红外相机监测

红外相机监测是了解野生动物多样性现状、动态变化和面临威胁的重要手段。本研究采用网格抽样调查法, 在贵州梵净山国家级自然保护区内选取2个监测样区共40个监测位点布设红外相机, 对区内兽类和鸟类物种进行监测调查。2017年4月至2018年12月间, 红外相机累积监测14,808个相机工作日, 共收集有效照片14,119张, 独立有效物种照片3,199张。共鉴定野生动物9目22科61种, 其中兽类26种, 隶属于4目12科; 鸟类35种, 隶属于5目10科。记录到国家I级重点保护野生动物2种: 黔金丝猴(Rhinopithecus brelichi)和白颈长尾雉(Syrmaticus ellioti), 国家II级重点保护野生动物9种; 被IUCN红色名录评估为濒危(EN)的1种、易危(VU)的5种、近危(NT)的8种。物种的相对多度指数(relative abundance index, RAI)分析结果显示, 藏酋猴(Macaca thibetana, RAI = 28.23)、毛冠鹿(Elaphodus cephalophus, RAI = 15.46)、野猪(Sus scrofa, RAI = 11.82)、小麂(Muntiacus reevesi, RAI = 9.05)、黔金丝猴(RAI = 7.70)为相对多度最高的5种兽类; 紫啸鸫(Myophonus insularis, RAI = 10.33)、红腹角雉(Tragopan temminckii, RAI = 9.59)、红腹锦鸡(Chrysolophus pictus, RAI = 6.96)、白颈长尾雉(RAI = 3.71)、勺鸡(Pucrasia macrolopha, RAI = 1.55)为相对多度最高的5种鸟类。另外, 红外相机还监测到较多的家畜活动(RAI = 11.14)和人为活动(RAI = 12.90), 保护区管理部门仍需采取相应管理措施, 进一步提高周边居民的保护意识, 促进保护区与社区的协调发展。