Meta‐replication,sampling bias,and multi‐scale model selection: A case study on snow leopard (Panthera uncia) in western China

Replicated multiple scale species distribution models (SDMs) have become increasingly important to identify the correct variables determining species distribution and their influences on ecological responses. This study explores multi‐scale habitat relationships of the snow leopard (Panthera uncia) in two study areas on the Qinghai–Tibetan Plateau of western China. Our primary objectives were to evaluate the degree to which snow leopard habitat relationships, expressed by predictors, scales of response, and magnitude of effects, were consistent across study areas or locally landcape‐specific. We coupled univariate scale optimization and the maximum entropy algorithm to produce multivariate SDMs, inferring the relative suitability for the species by ensembling top performing models. We optimized the SDMs based on average omission rate across the top models and ensembles’ overlap with a simulated reference model. Comparison of SDMs in the two study areas highlighted landscape‐specific responses to limiting factors. These were dependent on the effects of the hydrological network, anthropogenic features, topographic complexity, and the heterogeneity of the landcover patch mosaic. Overall, even accounting for specific local differences, we found general landscape attributes associated with snow leopard ecological requirements, consisting of a positive association with uplands and ridges, aggregated low‐contrast landscapes, and large extents of grassy and herbaceous vegetation. As a means to evaluate the performance of two bias correction methods, we explored their effects on three datasets showing a range of bias intensities. The performance of corrections depends on the bias intensity; however, density kernels offered a reliable correction strategy under all circumstances. This study reveals the multi‐scale response of snow leopards to environmental attributes and confirms the role of meta‐replicated study designs for the identification of spatially varying limiting factors. Furthermore, this study makes important contributions to the ongoing discussion about the best approaches for sampling bias correction.     

The physiological ups and downs of thermal variability in temperate freshwater ecosystems

Freshwater fish face a variety of spatiotemporal thermal challenges throughout their life. On a broad scale, temperature is an important driver of physiological, behavioural and ecological patterns and ultimately affects populations and overall distribution. These broad patterns are partly underpinned by the small-scale local effects of temperature on individuals within the population. Climate change is increasing the range of daily thermal variation in most freshwater ecosystems, altering behaviour and performance of resident fishes. The aim of this review is understanding how daily thermal variation in temperate rivers affects individual fish physiology, behaviour and overall performance. The following are highlighted in this study: (a) the physical characteristics of rivers that can either buffer or exacerbate thermal variability, (b) the effects of thermal variability on growth and metabolism, (c) the approaches for quantifying thermal variation and thermal stress and (d) how fish may acclimatize or adapt to our changing climate.     

Thermal variation near the thermal optimum does not affect the growth,metabolism or swimming performance in wild Atlantic salmon Salmo salar

Typically, laboratory studies on the physiological effects of temperature are conducted using stable acclimation temperatures. Nonetheless, information extrapolated from these studies may not accurately represent wild populations living in thermally variable environments. The aim of this study was to compare the growth rate, metabolism and swimming performance of wild Atlantic salmon exposed to cycling temperatures, 16–21°C, and stable acclimation temperatures, 16, 18.5, 21°C. Growth rate, metabolic rate, swimming performance and anaerobic metabolites did not change among acclimation groups, suggesting that within Atlantic salmon's thermal optimum range, temperature variation has no effect on these physiological properties.     

Sea trout Salmo trutta in the subarctic: home-bound but large variation in migratory behaviour between and within populations

Anadromous brown trout (sea trout), Salmo trutta, is currently in decline throughout its range, largely due to anthropogenic stressors in freshwater and marine habitats. Acoustic telmetry was utilized to study the marine migration of sea trout post-smolts from three populations in a relatively pristine subarctic fjord system. While at sea, the sea trout spent a substantial part of their time close to their natal river, preferred near shore over pelagic habitats and were strongly surface oriented. Despite a fidelity towards local areas, the sea trout utilized various parts of the fjord system, with maximum dispersion >30 km and total migration distance >300 km. Almost half of the sea trout (44%) migrated between river outlets, indicating that a metapopulation approach may be appropriate when managing neighbouring sea trout populations at high latitudes. Furthermore, the different populations displayed different migratory behaviours in terms of distance migrated, dispersion from origin and the likelihood of leaving their home area. This variation in migratory behaviour is likely influenced by spatiotemporal differences in habitat quality between sites, indicating that local habitat variations may promote population-specific behavioural responses even in relatively confined fjord systems.     

Growth-enhanced salmon modify stream ecosystem functioning

Use of fast-growing domesticated and/or genetically modified strains of fish is becoming increasingly common in aquaculture, increasing the likelihood of deliberate or accidental introductions into the wild. To date, their ecological impacts on ecosystems remain to be quantified. Here, using a controlled phenotype manipulation by implanting growth hormone in juvenile Atlantic salmon (Salmo salar), we found that growth-enhanced fish display changes in several phenotypic traits known to be important for ecosystem functioning, such as habitat use, morphology and excretion rate. Furthermore, these phenotypic changes were associated with significant impacts on the invertebrate community and key stream ecosystem functions such as primary production and leaf-litter decomposition. These findings provide novel evidence that introductions of growth-enhanced fish into the wild can affect the functioning of natural ecosystems and represent a form of intraspecific invasion. Consequently, environmental impact assessments of growth-enhanced organisms need to explicitly consider ecosystem-level effects.     

A Call for More Nuanced Dialogues About Trophy Hunting

Reported effects of trophy harvest often are controversial. The subject is nuanced and many studies lack details necessary to place their results in context. Consequently, many studies are misunderstood or their conclusions misapplied. We propose that all dialogues about trophy hunting include a definition of how they use the term trophy, details of variables measured and why they were selected, and explanations of temporal and spatial scales employed. Only with these details can potential effects of trophy hunting be understood in context and used for management and policy decisions. © 2021 The Wildlife Society.     

基于多尺度标记优化分水岭方法的油茶冠幅提取

针对尺度对地物空间结构的限制以及传统分水岭分割易产生树冠过分割等问题,选择长沙县明月村油茶基地为研究区,提出一种基于多尺度标记优化分水岭分割油茶树冠的方法。首先使用高分辨率无人机影像采集图像,分析影像特征,构建油茶分类体系,提取油茶林分布区域。其次,运用多尺度区域迭代增长方法提取树冠标记,将标记应用于多阈值尺度的分水岭变换,并结合Johnson指数选取树冠标记增长和分水岭阈值的最优尺度,实现油茶单木的准确识别。结果表明:多尺度标记优化分水岭方法在分离油茶单木时,树冠面积提取值与目视解译参考值的相对误差为9.4%;单木总体识别精度为89.4%,相对于传统的分水岭分割方法精度提高了34.8%;通过Johnson指数确定的最优迭代增长尺度为20,分水岭分割阈值尺度为85,对比不同尺度组合下的油茶冠幅提取结果,最优尺度下的油茶冠幅提取精度最高(R²=0.75)。多尺度标记优化分水岭方法能较准确地分离油茶树冠,将该方法应用于无人机影像树冠分割,可有效提高经济林调查的效率。     

存在睡眠呼吸异常的慢病患者呼吸影响心率变异性的初步分析*

目的: 基于整体整合生理学医学理论提出的呼吸引起循环指标变异的假说,分析研究存在睡眠呼吸异常的慢病患者睡眠期间呼吸和心率变异之间的相关关系。方法: 纳入存在睡眠呼吸异常且呼吸暂停低通气指数（AHI）≥15次/小时的慢病患者11例,签署知情同意书后完成标准化症状限制性极限运动的心肺运动试验（CPET）和睡眠呼吸监测,计算分析病人睡眠期间波浪式呼吸（OB）期与正常平稳呼吸期的呼吸鼻气流、心电图R-R间期心率变异的规律。结果: 存在睡眠呼吸异常的慢病患者CPET峰值摄氧量（Peak VO₂）和无氧阈（AT）为（70.8±13.6）%pred和（71.2±6.1）%pred;CPET有5例存在运动诱发的波浪式呼吸（EIOB）,6例为呼吸不稳定,提示整体功能状态低于正常人。本组慢病患者AHI为每小时（28.8±10.0）次,睡眠呼吸异常总时间占睡眠总时间的比值为（0.38±0.25）;OB周期的平均时间长度为（51.1±14.4）s。本组慢病患者正常平稳呼吸期的呼吸周期数与心率变异周期数的比值（B-n/HRV-B-n）为1.00±0.04,每个呼吸周期节律的心率变异平均幅度（HRV-B-M）为（2.64±1.59） bpm,虽然低于正常人（P<0.05）,但却与无睡眠呼吸异常的慢病患者相似（P>0.05）;HRV-B-M的变异度CV（HRV-B-M的SD/x）为( 0.33±0.11）,期间血氧饱和度（SpO₂）虽略低,但并无明显规律性下降与上升。本组慢病患者的OB期间呼吸周期数与心率变异周期数（OB-B-n/OB-HRV-B-n）比值为（1.22±0.18）,OB期每个呼吸周期节律的心率变异平均幅度（OB-HRV-B-M）为（3.56±1.57）bpm及其变异度（OB-CV =OB-HRV-B-M的SD/x）为（0.59±0.28）,每个OB周期节律的心率变异平均幅度（OB-HRV-OB-M）为（13.75±4.25）bpm,OB期间低通气时SpO₂出现明显的下降,OB期间SpO₂平均变异幅度（OB-SpO₂-OB-M）为（4.79±1.39）%,OB期的OB-B-n/OB-HRV-B-n比值、OB-HRV-OB-M比其正常平稳呼吸期对应指标显著增大（P<0.01）。OB-HRV-B-M虽然与正常平稳呼吸期HRV-B-M相比差异无统计学意义（P>0.05）,但其变异度OB-CV却显著增大（P<0.01）。结论: 睡眠呼吸异常的慢病患者OB期的心率变异幅度大于其正常平稳呼吸期,当呼吸模式发生改变时心率变异也发生明显改变,其平稳呼吸期的呼吸周期数与心率变异周期数的比值与正常人以及无睡眠呼吸异常的慢病患者相同,证实心率变异为呼吸源性;而其OB期间心率变异周期数相对于呼吸周期减少直接源于此时的低通气或者呼吸暂停,心率变异也是呼吸源性。     

宁夏东部风沙区固定沙丘土壤性质小尺度空间变异特征

随着流动沙丘的不断固定,不同地形部位的土壤机械组成、有机碳(SOC)和全氮(TN)含量的变化存在差异。为了探明固定沙丘的土壤机械组成与土壤养分空间变异特征,本研究以宁夏黄沙古渡固定沙丘为对象,分析了固定沙丘不同部位、不同土层的风沙土机械组成、SOC和TN特征。结果表明: 各土层土壤机械组成均以中沙和细沙为主。SOC和TN有明显的表聚作用,SOC和TN含量最大值分别为5.781和0.412 g·kg^-1,分布在丘间地,脊线和背风坡含量最少。随着土层深度的增加,背风坡和迎风坡的SOC含量逐渐减少,丘间地的SOC含量先减少后增加。SOC和TN在小尺度上均表现出明显的空间异质性;SOC和TN与粉沙和极细沙含量呈显著正相关,与中沙和粗沙含量呈显著负相关。土壤机械组成对SOC和TN含量有明显影响,而且SOC和TN含量随着细颗粒含量的增加而增加,表明土壤细颗粒对有机质的吸附和积累起着重要作用。