Validation of the first step of the heuristic refinement method for the derivation of solution structures of proteins from NMR data

A new method for the analysis of NMR data in terms of the solution structure of proteins has been developed. The method consists of two steps: first a systematic search of the conformational space to define the region allowed by the initial set of experimental constraints, and second, the narrowing of this region by the introduction of additional constraints and optional refinement procedures. The search of the conformational space is guided by heuristics to make it computationally feasible. The method is therefore called the heuristic refinement method and is coded in an expert system called PROTEAN. The paper describes the validation of the first step of the method using an artificial NMR data set generated from the known crystal structure of sperm whale carbon monoxymyoglobin. It is shown that the initial search procedure yields a low-resolution structure of the myoglobin molecule, accurately reproducing its main topological features, and that the precision of the structure depends on the quality of the initial data set.     

Planning oral health care for the elderly in Israel for the years 2000 and 2025

The methodology and conclusions of this workshop arc reported here because the problems requiring solution are not unique to Israel. They will increasingly have wide geographical and political application. The population of Israel since its establishment in 1948 has increased about sixfold. The numbers of the elderly (65+) have increased about tenfold. The current situation must be examined and estimates obtained for the next ten years. Only thus can the system be enabled to cope with the problem as it develops. The chosen method was a carefully preplanned, multisectorial workshop. Recommendations were discussed, amended and finalised. The recommendations of the workshop included: Baseline national data is urgently required. Guidelines are required for selecting specific target populations to which priority should be given. The current favourable situation of adequate oral health manpower in Israel makes it possible to encourage providers of oral health care towards treatment for the elderly. It is essential that the appropriate health authorities allocate sufficient funds for the following urgent purposes: the conduct of a national survey of the elderly population; the establishment of oral health units on a trial basis in some selected hospitals; support institutions of higher education to facilitate training in geriatric dentistry. Conclusions. The workshop was multidisciplinary because it was necessary to include all the expertise and experience available as vital elements of the policy making process. This type of workshop was found to be an effective tool for planning oral health services.     

Causal inference and large-scale expert validation shed light on the drivers of SDM accuracy and variance

Aim

To develop a causal understanding of the drivers of Species distribution model (SDM) performance.

Location

United Kingdom (UK).

Methods

We measured the accuracy and variance of SDMs fitted for 518 species of invertebrate and plant in the UK. Our measure of variance reflects variation among replicate model fits, and taxon experts assessed model accuracy. Using directed acyclic graphs, we developed a causal model depicting plausible effects of explanatory variables (e.g. species' prevalence, sample size) on SDM accuracy and variance and quantified those effects using a multilevel piecewise path model.

Results

According to our model, sample size and niche completeness (proportion of a species' niche covered by sampling) directly affect SDM accuracy and variance. Prevalence and range completeness have indirect effects mediated by sample size. Challenging conventional wisdom, we found that the effect of prevalence on SDM accuracy is positive. This reflects the facts that sample size has a positive effect on accuracy and larger sample sizes are possible for widespread species. It is possible, however, that the omission of an unobserved confounder biased this effect. Previous studies, which reported negative correlations between prevalence and SDM accuracy, conditioned on sample size.

Main conclusions

Our model explicates the causal basis of previously reported correlations between SDM performance and species/data characteristics. It also suggests that niche completeness has similarly large effects on SDM accuracy and variance as sample size. Analysts should consider niche completeness, or proxies thereof, in addition to sample size when deciding whether modelling is worthwhile.     

A structured analysis of risk to important wildlife elements in three Australian Wildlife Conservancy sanctuaries

Where data and information are lacking, structured expert risk assessments can provide a powerful tool to progress natural resource planning. In many situations, practitioners make informal assessments of risk within small groups that typically constitute employees. In this study, we report on three small (in terms of experts) structured expert‐based risk assessment case studies conducted by expert employees of a not‐for‐profit organisation (Australian Wildlife Conservancy) to demonstrate the utility of the approach. The case studies were carried out for three wildlife sanctuaries managed by AWC: Faure Island, Karakamia and Paruna. The likelihood that a set of direct risk factors would cause management failure for sets of important wildlife elements in the three sanctuaries was elicited from the small group of ecological experts. The analysis was couched in terms of a management aim to not lose species from each wildlife element over the management period of 25 years with current management. The experts believed, in particular, that increasing temperature and decreasing water availability associated with climate change were likely to impact significantly upon the vegetation elements and water‐reliant fauna associated with the sanctuaries. Some vegetation elements were also thought likely to be at risk of over‐grazing, unsuitable fire regimes and, in some cases, disease. In addition to predation by exotic predators at one sanctuary, the experts identified additional direct risk factors for various fauna elements associated with expected changes to the vegetation elements, including reduction in food availability, nesting habitat, and generally important life media. From the risk analyses, a preliminary conceptual model was developed to underpin monitoring and to indicate areas for possible management intervention and research. The case studies demonstrate that even in a small workplace team, structured risk assessments can be efficiently accomplished and can provide expedient and transparent information that effectively captures and aggregates the views of the experts.     

生物多样性与传染性疾病的关系: 进展、挑战与展望

在全球生物多样性快速丧失的背景下, 理解生物多样性如何影响传染性疾病风险具有重要意义。大量研究表明, 宿主多样性对传染性疾病可能存在稀释效应(即疾病风险随宿主生物多样性的增加而降低), 但是也有放大效应或者没有影响的证据。本文首先介绍了关于生物多样性与传染性疾病关系的研究进展, 以及该领域的热点研究问题, 包括宿主多样性-疾病关系的格局和空间依赖性、稀释效应的体系依赖性和系统发育稀释效应等。随后,介绍了相关研究伴随的争议和批判, 主要集中在: 稀释效应发生的普遍性、生物多样性-疾病关系实验研究的发表偏好性以及部分疾病生态学家对生物多样性和传染性疾病之间简单数字关系的过分关注。最后指出稀释效应与物种共存、全球变化对稀释效应的影响、进化与稀释效应、稀释效应在政策制定中的应用等领域可能是今后的主要研究方向。     

格网尺度下青海玛多县土地利用及生态系统服务价值空间自相关分析

开展黄河源区土地利用和生态系统服务价值空间量化评估,对于保障黄河流域生态安全具有重要意义。以黄河源区玛多县为例,基于3 km×3 km网格单元,应用空间自相关方法构建生态系统服务价值评价模型,定量评价了2015年玛多县土地利用/覆被空间自相关格局特征,可视化表达了玛多县生态系统服务价值空间信息。结果表明: 在3 km×3 km格网尺度下,不同覆盖度草地覆盖范围广阔;水域网格占总网格数的42.9%,在玛多县西北部分布密集;建设用地呈东北-西南走向的“线条式”分布;未利用土地体现为西南多、东北少的分布格局。在空间上,玛多县土地利用类型网格之间相互影响,表现为正相关性和聚集分布。水域的全局Moran I和局部Moran I值均最大,空间聚集性最强,局部连片度较高。建设用地的全局Moran I和局部Moran I值分别为0.293和0.127,空间自相关性最弱,在小范围内呈聚集特点。2015年,玛多县生态系统服务价值(ESV)为938.87亿元,网格的ESV平均值为3.20×10⁷元,最大值为19.96×10⁷元,水域分布网格是ESV的高值区。玛多县ESV分布格局整体上呈显著的空间正向自相关,ESV在网格之间为聚集分布。不同土地利用类型ESV网格总体呈高高、低低聚集,在局部零星为高低、低高聚集。可采取的国土空间规划与用途管制策略包括:水域、未利用土地采用强调生态溢出价值的“集中连片式”保护模式,高、中、低覆盖度草地采取主次分明、划区管理的“组团式”生态治理模式,建设用地在“廊道式”分布格局中采取小范围集约化开发利用模式。     

生态系统服务供给和需求研究评述及框架体系构建

生态系统服务供给和需求联系着自然生态系统与社会经济系统,对生态系统服务供给和需求的研究有助于加强生态系统管理和实现资源优化配置,从而保障区域生态安全与社会经济可持续发展。本文在系统梳理国内外相关研究的基础上,对生态系统服务供给和需求的概念内涵、评估方法和实践应用等方面进行全面综述。从理论发展的角度看,虽然目前已取得较为丰富的研究成果,但是现有研究仍较为分散,缺乏统一的生态系统服务供需研究框架体系。鉴于此,本文在对生态系统服务供给和需求的研究范畴进行拓展的基础上,按照“理论-方法-实践”相统一的研究脉络,构建了“定性-定位-定量-定策”的生态系统服务供给和需求研究框架体系,最后提出未来研究应围绕“重点关注生态系统服务供给和需求的空间转移规律、加强生态系统服务供给和需求的定量方法研究、深化生态系统服务供给和需求应用管理实践和建立生态系统服务供给和需求应用评价机制”等方面展开,以期促进生态系统服务供给和需求的理论与实践研究。     

黄土高原林区生态系统服务价值与景观生态风险时空变化及其关联性——以子午岭区为例

当前,人们对自然景观提供的生态系统服务保护意识正在加强,但将生态系统服务价值纳入生态风险管控的研究和实践相对较少。本研究以子午岭区为例,基于2.5 km×2.5 km的评价小区,开展了1980、1990、2000、2010和2017年黄土高原林区——子午岭区景观格局类型格网化和重采样,定量评价了生态系统服务价值和景观生态风险,揭示了二者时空变化及其关联性。结果表明: 1980—2017年,子午岭区生态系统服务价值从其中心地带向外缘递减,总量由123.45亿元增长为126.33亿元;子午岭区景观生态风险从其中心地带向外缘递增,子午岭区的景观生态风险有所降低,生态状况总体好转。子午岭区生态系统服务价值与景观生态风险之间存在显著的负相关关系及明显的负向空间关联性;高价值-低风险区主要为子午岭林区,未来其生态系统服务价值可能会保持不变。     

Spatial co‐localisation of extreme weather events: a clear and present danger

Extreme weather events have become a dominant feature of the narrative surrounding changes in global climate with large impacts on ecosystem stability, functioning and resilience; however, understanding of their risk of co‐occurrence at the regional scale is lacking. Based on the UK Met Office’s long‐term temperature and rainfall records, we present the first evidence demonstrating significant increases in the magnitude, direction of change and spatial co‐localisation of extreme weather events since 1961. Combining this new understanding with land‐use data sets allowed us to assess the likely consequences on future agricultural production and conservation priority areas. All land‐uses are impacted by the increasing risk of at least one extreme event and conservation areas were identified as the hotspots of risk for the co‐occurrence of multiple event types. Our findings provide a basis to regionally guide land‐use optimisation, land management practices and regulatory actions preserving ecosystem services against multiple climate threats.