三峡水库坝下江心洲植物群落及其性状对不同水淹强度的响应

三峡水库的运行,改变了其坝下游的水沙情势,使坝下游沙洲生境呈现出明显的水淹强度梯度变化。阐明这一梯度变化下沙洲植被组成、分布和性状结构特征,是理解植被与沙洲稳定关系的基础,更是阐明三峡工程对长江中下游地区生态环境影响的核心内容之一。选取上荆江河段第一个江心洲-太平口心滩作为研究样地,通过植被组成和分布特征的调查,对不同水淹强度下群落物种组成、多样性和功能特征进行了深入分析。结果表明：太平口心滩植被组成以草本植物为主,稀布小型灌木川三蕊柳。调查共记录物种21科33属39种,以禾本科和菊科植物为主要优势种。轻微（20-40 d）和极强水淹强度（100+d）条件下的生境物种组成同其他水淹强度生境具有显著性差异,轻微水淹强度下牛鞭草和节节草为主要优势种,极强水淹强度下虉草为主要优势种。不同水淹强度下物种多样性指数差异显著,功能多样性指数和生物多样性指数趋势基本一致。随着水淹时间的延长,植被更倾向于表现出花果期位于出露期、植株高度更加低矮、须根系、进行营养繁殖的功能性状。江心洲植被的群落结构和功能性状特征都在水淹梯度下呈现出明显的梯度变化特征。这些研究结果表明水淹强度的梯度变化是沙洲植物群落变化的重要驱动因子,为进一步研究沙洲植物群落动态变化以及沙洲植被协同演替机制,明晰大坝影响下的生态环境变化提供重要依据。     

基于生态系统服务重要性和生态敏感性的广东省生态安全格局构建

生态空间结构合理有序是区域赖以生存和发展的基础和保障,构建省域生态安全格局,优化生态空间结构,有利于提高生态环境的承载力并促进社会经济与生态环境的协同互惠关系,实现可持续发展。以广东省为例,通过重要性-敏感性的生态评估方法识别广东省重要的生态源地,使用最小阻力模型识别重要生态廊道,构建生态安全格局,并对生态空间结构的调整和管控提出策略。结果表明：（1）重要的生态源地面积为54636.77 km²,占广东省国土面积的25.04%;（2）研究所识别的生态源地与广东省生态红线和自然保护地的重合程度较高,在自然保护地和生态源地的基础上共选出87处重要生态源地;（3）广东省生态廊道的总长度为7400 km,廊道周边的主要以林地为主;（4）广东省的生态空间主要以环珠三角生态屏障和外围生态屏障为主,其中环珠三角生态屏障的面积、生态重要性略高于北部生态屏障。所构建的生态安全格局可以为广东省的生态安全保护和可持续发展提供参考,也可以为完整生态保护体系的构建提供政策导向。     

金沙江下游典型库区消落带植被恢复模式

消落带植被分布、生活型、多样性的调查研究显著促进了消落带植被恢复技术的进步,然而相邻两梯级库区消落带植被分布的差异以及植被群落特征的年际变化并不明确。此外,金沙江下游部分区域表现出一定的干热特征,其影响下的消落带植被群落特征有待深入了解。基于2019年和2021年向家坝和溪洛渡库区消落带植被调查结果,分析表明：(1)金沙江下游消落带按照下垫面特性主要分为硬岩型、软岩型、松软堆积型3种类型,坡度平缓的松软堆积型消落带是植被恢复的主要类型;(2)整体上,消落带优势植被类型是一年生和多年生草本,单优势种、少优势种群落较为普遍,两个库区消落带优势种重要值差异显著,植被生活型较少;(3)向家坝、溪洛渡库区消落带在分别经历6次和8次周期性水淹后,消落带植被分布与群落物种多样性特征变化不显著,表明消落带植被群落结构相对稳定。综上说明向家坝、溪洛渡两个相邻的梯级库区消落带植被恢复需要以灌草为主,且具有不同的潜在恢复模式,因此需要对应采取不同的恢复策略。研究对于科学指导金沙江下游梯级水电站库区消落带植被恢复具有重要意义。     

Increasing variance in North Pacific climate relates to unprecedented ecosystem variability off California

Changes in variance are infrequently examined in climate change ecology. We tested the hypothesis that recent high variability in demographic attributes of salmon and seabirds off California is related to increasing variability in remote, large‐scale forcing in the North Pacific operating through changes in local food webs. Linear, indirect numerical responses between krill (primarily Thysanoessa spinifera) and juvenile rockfish abundance (catch per unit effort (CPUE)) explained >80% of the recent variability in the demography of these pelagic predators. We found no relationships between krill and regional upwelling, though a strong connection to the North Pacific Gyre Oscillation (NPGO) index was established. Variance in NPGO and related central Pacific warming index increased after 1985, whereas variance in the canonical ENSO and Pacific Decadal Oscillation did not change. Anthropogenic global warming or natural climate variability may explain recent intensification of the NPGO and its increasing ecological significance. Assessing non‐stationarity in atmospheric‐environmental interactions and placing greater emphasis on documenting changes in variance of bio‐physical systems will enable insight into complex climate‐marine ecosystem dynamics.     

Integrated Application of Multiomics Strategies Provides Insights Into the Environmental Hypoxia Response in Pelteobagrus vachelli Muscle

Increasing pressures on aquatic ecosystems because of pollutants, nutrient enrichment, and global warming have severely depleted oxygen concentrations. This sudden and significant lack of oxygen has resulted in persistent increases in fish mortality rates. Revealing the molecular mechanism of fish hypoxia adaptation will help researchers to find markers for hypoxia induced by environmental stress. Here, we used a multiomics approach to identify several hypoxia-associated miRNAs, mRNAs, proteins, and metabolites involved in diverse biological pathways in the muscles of Pelteobagrus vachelli. Our findings revealed significant hypoxia-associated changes in muscles over 4 h of hypoxia exposure and discrete tissue-specific patterns. We have previously reported that P. vachelli livers exhibit increased anaerobic glycolysis, heme synthesis, erythropoiesis, and inhibit apoptosis when exposed to hypoxia for 4 h. However, the opposite was observed in muscles. According to our comprehensive analysis, fishes show an acute response to hypoxia, including activation of catabolic pathways to generate more energy, reduction of biosynthesis to decrease energy consumption, and shifting from aerobic to anaerobic metabolic contributions. Also, we found that hypoxia induced muscle dysfunction by impairing mitochondrial function, activating inflammasomes, and apoptosis. The hypoxia-induced mitochondrial dysfunction enhanced oxidative stress, apoptosis, and further triggered interleukin-1β production via inflammasome activation. In turn, interleukin-1β further impaired mitochondrial function or apoptosis by suppressing downstream mitochondrial biosynthesis–related proteins, thus resulting in a vicious cycle of inflammasome activation and mitochondrial dysfunction. Our findings contribute meaningful insights into the molecular mechanisms of hypoxia, and the methods and study design can be utilized across different fish species.     

Developing and applying novel spectral feature parameters for classifying soil salt types in arid land

Soil salinization is a major desertification process that threatens especially the stability of arid ecosystems. There is an urgent need for intensive monitoring and quick assessment of salinization through remote sensing as a tool for combating desertification in such ecosystems. Recent researches have revealed that in order to retrieve soil salt contents accurately from hyperspectral reflectance, a pre-knowledge of salt types is required, which greatly outlines the spectral features of saline soil reflectance. In this study, a set of feature parameters have been developed after a thorough investigation of spectral responses to different soil salt types and salt contents for quick and accurate classification of soil salt types. The application has been validated using three independent datasets composed from: laboratory experiments (dataset I), in-situ field measurements (dataset II), and satellite-borne Hyperion image (dataset III). For comparison, four other common classification algorithms have been validated using the same datasets. The results showed that the new approach proposed in this study performed well with not only single-type but also multiple-type salts for which the four common algorithms performed rather fairly. Furthermore, validating using datasets II and III showed that the newly proposed approach had a stable performance while the other four failed, indicating the advantage of the new approach. The feature parameters developed in this study hence provide a novel and efficient approach for salt type classification from reflectance spectra, and we foresee its potential applications on large-scale soil salt type mapping towards better understanding soil salinity characterization from remote sensing data.     

A rapid and cost-effective tool for managing habitats of the European Natura 2000 network: a case study in the Italian Alps

“Habitats” Directive 92/43/EEC is the pivotal European law for building a continental network of sites of community importance (SCIs) for nature conservation. Article 6 of such directive underlines the importance of biodiversity conservation through the realization of proper management plans. As a result, such plans are increasingly common. A management plan based on intensive field studies and monitoring activities requires time and financial resources, which are generally limited. The aim of this paper is to offer a rapid, cost-effective and scientifically based decision tool aimed to achieve GIS-based conservation strategies for habitats of EU interest within SCIs and, in general, within protected areas. As a case study, we considered species-rich Nardus grasslands (threatened by natural reconversion and intensive cattle grazing), and transition mires (threatened by pasturing and human disturbance) in a SCI in the Alps. Through a multi-criteria evaluation, we selected indicators and weights based upon our knowledge of the study area. As a result, we were able to: (a) quantify the level of existing threats, (b) suggest urgent conservation strategies, and (c) suggest future monitoring activities. Since the study area is representative of many protected areas in the Alps and the conservation topics under evaluation are frequent threats impacting habitats of EU interest, our decision model might be transferable to further areas given proper adaptation of weights to the intensity and the frequency of current threats.     

Detector location selection based on VIP analysis in near-infrared detection of dural hematoma

Detection of dural hematoma based on multi-channel near-infrared differential absorbance has the advantages of rapid and non-invasive detection. The location and number of detectors around the light source are critical for reducing the pathological characteristics of the prediction model on dural hematoma degree. Therefore, rational selection of detector numbers and their distances from the light source is very important. In this paper, a detector position screening method based on Variable Importance in the Projection (VIP) analysis is proposed. A preliminary modeling based on Partial Least Squares method (PLS) for the prediction of dural position μ_a was established using light absorbance information from 30 detectors located 2.0–5.0?cm from the light source with a 0.1?cm interval. The mean relative error (MRE) of the dural position μ_a prediction model was 4.08%. After VIP analysis, the number of detectors was reduced from 30 to 4 and the MRE of the dural position μ_a prediction was reduced from 4.08% to 2.06% after the reduction in detector numbers. The prediction model after VIP detector screening still showed good prediction of the epidural position μ_a. This study provided a new approach and important reference on the selection of detector location in near-infrared dural hematoma detection.     

Life forms,leaf size spectra,regeneration capacity and diversity of plant species grown in the Thandiani forests,district Abbottabad,Khyber Pakhtunkhwa,Pakistan

The life form and leaf size spectra of plant species of the Thandiani forests, district Abbottabad, were studied during the summer of 2013. These forests host 252 plant species of 97 families. Biological spectra showed that Hemicryptophytes (80 spp., 31.74%) were dominant followed by Megaphanerophytes (51 spp., 20.24%), Therophytes (49 spp., 19.44%) and Nanophanerophytes (45 spp., 17.86). Hemicryptophytes are the indicators of cold temperate vegetation. At the lower elevations, Megaphanerophytes and Nanophanerophytes were dominant which confirm trees as dominant habit form due to high soil depth, moisture and temperature factors. Data on Leaf spectra in the area showed that Microphyllous (88 spp., 34.92%) species were dominant followed by Leptophyllous (74 spp., 29.36%) and Nanophyllous (60 spp., 23.80%). The Microphyllous plants again are the indicator of cold temperate zone as the area is situated at an elevation of 1191–2626 m. Similarly, Nanophylls were dominant at lower elevations. Data on family importance values and diversity among various communities were also recorded. Life form and Leaf spectra studies could be used to understand the micro climatic variation of the region.