Molecules and Morphology,Phylogenetics and Genetics

Various explanations can be offered for the incongruence between phylogenetic hypotheses resulting from morphological and molecular data sets. Of these, the possibility that incongruence may result from the mutation of major morphogenetic genes leading to dramatic morphological divergence unaccompanied by equivalent change of the phylogenetic marker molecule(s) used is discussed in detail. As evidence for this hypothesis, several examples for such incongruence are surveyed. It seems possible that in many cases the genetic basis of the morphological characters responsible for the incongruence found may be simple, and that the genes involved may be homologous to genes known from mutant systems. It is suggested that: 1. the systematic documentation of incongruence between molecular and morphological phylogenies may help to assess the frequency of evolutionary change through the mutation of major morphogenetic genes, and that 2. the identification of major morphological characters distinguishing closely related taxa with mutant phenotypes known from mutant systems eventually may allow an experimental approach to the problem of evolutionary change resulting from major genes. Natural taxa suspected to be the result of such processes could be changed morphologically through transformation with the relevant genes.     

Significant increase in natural disturbance impacts on European forests since 1950

Over the last decades, the natural disturbance is increasingly putting pressure on European forests. Shifts in disturbance regimes may compromise forest functioning and the continuous provisioning of ecosystem services to society, including their climate change mitigation potential. Although forests are central to many European policies, we lack the long-term empirical data needed for thoroughly understanding disturbance dynamics, modeling them, and developing adaptive management strategies. Here, we present a unique database of >170,000 records of ground-based natural disturbance observations in European forests from 1950 to 2019. Reported data confirm a significant increase in forest disturbance in 34 European countries, causing on an average of 43.8 million m³ of disturbed timber volume per year over the 70-year study period. This value is likely a conservative estimate due to under-reporting, especially of small-scale disturbances. We used machine learning techniques for assessing the magnitude of unreported disturbances, which are estimated to be between 8.6 and 18.3 million m³/year. In the last 20 years, disturbances on average accounted for 16% of the mean annual harvest in Europe. Wind was the most important disturbance agent over the study period (46% of total damage), followed by fire (24%) and bark beetles (17%). Bark beetle disturbance doubled its share of the total damage in the last 20 years. Forest disturbances can profoundly impact ecosystem services (e.g., climate change mitigation), affect regional forest resource provisioning and consequently disrupt long-term management planning objectives and timber markets. We conclude that adaptation to changing disturbance regimes must be placed at the core of the European forest management and policy debate. Furthermore, a coherent and homogeneous monitoring system of natural disturbances is urgently needed in Europe, to better observe and respond to the ongoing changes in forest disturbance regimes.     

The unexpected long period of elevated CH4 emissions from an inundated fen meadow ended only with the occurrence of cattail (Typha latifolia)

Drainage and agricultural use transform natural peatlands from a net carbon (C) sink to a net C source. Rewetting of peatlands, despite of high methane (CH₄) emissions, holds the potential to mitigate climate change by greatly reducing CO₂ emissions. However, the time span for this transition is unknown because most studies are limited to a few years. Especially, nonpermanent open water areas often created after rewetting, are highly productive. Here, we present 14 consecutive years of CH₄ flux measurements following rewetting of a formerly long-term drained peatland in the Peene valley. Measurements were made at two rewetted sites (non-inundated vs. inundated) using manual chambers. During the study period, significant differences in measured CH₄ emissions occurred. In general, these differences overlapped with stages of ecosystem transition from a cultivated grassland to a polytrophic lake dominated by emergent helophytes, but could also be additionally explained by other variables. This transition started with a rapid vegetation shift from dying cultivated grasses to open water floating and submerged hydrophytes and significantly increased CH₄ emissions. Since 2008, helophytes have gradually spread from the shoreline into the open water area, especially in drier years. This process was periodically delayed by exceptional inundation and eventually resulted in the inundated site being covered by emergent helophytes. While the period between 2009 and 2015 showed exceptionally high CH₄ emissions, these decreased significantly after cattail and other emergent helophytes became dominant at the inundated site. Therefore, CH₄ emissions declined only after 10 years of transition following rewetting, potentially reaching a new steady state. Overall, this study highlights the importance of an integrative approach to understand the shallow lakes CH₄ biogeochemistry, encompassing the entire area with its mosaic of different vegetation forms. This should be ideally done through a study design including proper measurement site allocation as well as long-term measurements.     

Longitudinal growth of head circumference in Punjabi infants in Chandigarh (India)

One hundred and fifty four (86 male and 68 female) Punjabi infants residing in Chandigarh (India) were longitudinally measured for head circumference at monthly age intervals during first year of life. The general pattern of growth of head circumference was characterised by initial sharp rise followed by slow gain during second half of infancy. Beyond birth male infants, possessed higher and statistically significant mean values than their female counterparts. The pattern-wise similarity between growth curves plotted for Punjabi and Western infants, may be attributed to protective effects of breast feeding. Head circumference velocity showed rapid deceleration immediately after birth up to about 4 months, thereafter, it declined slowly. Sex differences in monthly growth rates were found to be statistically significant (p<0.05) at a few of the age intervals during first year of life.     

宁夏银川平原沙化土地不同人工林土壤质量评价

沙化土地土壤贫瘠、生产力低,人工植被恢复是重要的土壤改良措施。为研究宁夏银川平原沙地不同人工林栽植对土壤的影响,以银川腹部沙地银川植物园沙化土壤恢复区的2017年3月种植的文冠果(Xanthoceras sorbifolium)和欧李(Cerasus humilis)人工林地为研究对象,以邻近的长期撂荒地为对照,对土壤质量进行了研究。2020年7—8月采集土样并测定了土壤物理、化学、生物学等20个指标作为土壤质量评价的总数据集,方差分析筛选出差异显著性的9个指标作为重要数据集指标,采用主成分分析法和Norm值建立土壤质量评价指标最小数据集(MDS),利用线性和非线性两种评分方法计算土壤质量指数(SQI)。结果表明：与长期撂荒地相比,银川平原沙化土壤恢复区人工文冠果、欧李林地的土壤理化性质较好,土壤砂粒百分比减少、粉粒和黏粒百分比有所增加,pH降低;有机质、全氮、全磷、全钾等主要养分指标提高,蔗糖酶、脲酶、纤维素酶等主要生物酶活性也高于撂荒地,筛选出的研究区土壤质量评价MDS指标为土壤粉粒百分比和全磷。2种评价方法下,文冠果和欧李人工恢复林地的SQI高于撂荒地,但提高不显著(P>0...     

城市绿色开敞空间可达性研究——以南京市中心城区为例

城市绿色开敞空间是城市公共空间的重要组成部分,合理配置城市绿色开敞空间对城市宜居环境建设至关重要。空间可达性常用于评价公共服务设施空间布局的合理性,两步移动搜索法即是一种直观、运算简便、应用广泛的可达性计算方法,但该方法未考虑需求主体之间的差异性。本研究以南京市中心城区为例,利用手机信令数据提取需求者属性特征以及空间分布,通过分类细化需求主体改进搜索策略,改善两步移动搜索法传统研究未考虑不同群体差异性、统计数据滞后、空间尺度粗等弊端。结果表明,南京市中心城区绿色开敞空间可达性呈现出明显的空间分异特征,江南主城可达性总体比江北新区高,低值区集中在人口密度高、绿色开敞空间资源规模小的中心城区周边;不同人群的绿色开敞空间可达性总体格局相似,但在数值上老年人可达性均值是其他年龄段的14.60%,工作人群可达性均值是居住人群的86.02%,老年人作为弱势群体在享受绿色开敞空间服务中被边缘化。研究结果可为优化南京市绿色开敞空间布局提供科学依据,也可为其他公共服务设施可达性评价提供借鉴。     

放牧对祁连山高寒典型草原土壤质量的影响

土壤质量是维持陆地生态系统稳定性与功能多样性的基础。放牧作为草地资源最广泛的利用方式之一,其对草地土壤质量的影响却缺乏量化标准,且两者之间的作用机理尚不明确。以祁连山高寒草原两个季节性牧场为研究对象,结合生态系统耦合与生态系统多功能性,探究了放牧对高寒草原土壤质量的影响与潜在机制。试验结果表明：基于最小数据集,不同放牧率下土壤质量指数差异显著(P<0.05),冬季牧场和春秋季牧场放牧率分别在2.45头月^-1 hm^-2和0.80头月^-1 hm^-2时土壤质量指数最高。土壤速效磷、有机碳、氮磷比和土壤pH是决定冬季牧场土壤质量的关键因子,而春秋季牧场中则是土壤有机碳、碳氮比和土壤pH;两个季节性牧场土壤质量指数与物种丰富度指数(P<0.05)和香浓维纳多样性指数(P<0.0001)呈显著正相关。高寒草原季节性牧场放牧地植物群落物种多样性与土壤因子耦合度在0.67—0.81之间,平均耦合度为0.74,属于中度协调;随着放牧率的增加,生态系统多功能性指数逐渐减低且与土壤质量指数变化趋势相似,...     

Latent group detection in functional partially linear regression models

In this paper, we propose a functional partially linear regression model with latent group structures to accommodate the heterogeneous relationship between a scalar response and functional covariates. The proposed model is motivated by a salinity tolerance study of barley families, whose main objective is to detect salinity tolerant barley plants. Our model is flexible, allowing for heterogeneous functional coefficients while being efficient by pooling information within a group for estimation. We develop an algorithm in the spirit of the K-means clustering to identify latent groups of the subjects under study. We establish the consistency of the proposed estimator, derive the convergence rate and the asymptotic distribution, and develop inference procedures. We show by simulation studies that the proposed method has higher accuracy for recovering latent groups and for estimating the functional coefficients than existing methods. The analysis of the barley data shows that the proposed method can help identify groups of barley families with different salinity tolerant abilities.     

Variable selection in nonlinear function-on-scalar regression

We develop a new method for variable selection in a nonlinear additive function-on-scalar regression (FOSR) model. Existing methods for variable selection in FOSR have focused on the linear effects of scalar predictors, which can be a restrictive assumption in the presence of multiple continuously measured covariates. We propose a computationally efficient approach for variable selection in existing linear FOSR using functional principal component scores of the functional response and extend this framework to a nonlinear additive function-on-scalar model. The proposed method provides a unified and flexible framework for variable selection in FOSR, allowing nonlinear effects of the covariates. Numerical analysis using simulation study illustrates the advantages of the proposed method over existing variable selection methods in FOSR even when the underlying covariate effects are all linear. The proposed procedure is demonstrated on accelerometer data from the 2003–2004 cohorts of the National Health and Nutrition Examination Survey (NHANES) in understanding the association between diurnal patterns of physical activity and demographic, lifestyle, and health characteristics of the participants.