Info-gap robust-satisficing model of foraging behavior: do foragers optimize or satisfice?

In this note we compare two mathematical models of foraging that reflect two competing theories of animal behavior: optimizing and robust satisficing. The optimal-foraging model is based on the marginal value theorem (MVT). The robust-satisficing model developed here is an application of info-gap decision theory. The info-gap robust-satisficing model relates to the same circumstances described by the MVT. We show how these two alternatives translate into specific predictions that at some points are quite disparate. We test these alternative predictions against available data collected in numerous field studies with a large number of species from diverse taxonomic groups. We show that a large majority of studies appear to support the robust-satisficing model and reject the optimal-foraging model.     

Seasonal fires shape the germinable soil seed bank community in eastern Mediterranean woodlands

季节性火烧塑造了东地中海地区林地的可萌发种子库群落 本研究探索了在典型东地中海林地中，季节性火烧是否以及如何与微生境类型(即黄连木属(Pistacia)灌木下、岩蔷薇属(Cistus)灌木下或林冠间隙)相互作用，从而影响可萌发种子库(germinable soil seed bank, GSSB)群落的组成。我们进行了一项野外实验，其中包括预定的春秋火烧，然后利用从火烧地块和相邻未火烧对照地收集的土壤样本对种子萌发的模式进行定量。研究结果表明，秋烧期间，土壤温度比春烧的要高，而春烧期间土壤温度则比秋烧的变化更大。火烧导致可萌发种子库整体的密度、丰富性和多样性降低。秋烧地块内黄连木属和岩蔷薇属灌木的可萌发种子库丰富性和多样性显著降低，这些模式主要表现在一年生植物中。在火烧样地收集的样本中，低矮灌木的可萌发种子库密度更高，在黄连木属和岩蔷薇属灌木下采集的样品中，这种模式更为明显。在季节性火烧与出现的独特物种会共同导致可萌发种子库的群落组成发生显著的变化。这些结果表明，季节性火烧与空间异质性互相作用，主要通过对一年生植物和低矮灌木的可萌发密度的差异效应来影响可萌发种子库群落的组成。这些研究发现意味着，过去几十年东地中海盆地的季节性火烧频率上升，可能转化为进化生态选择压力的变化，并对这一独特生态系统内的植物产生影响。     

Role of serum in the developmental expression of alkaline phosphatase in MC3T3-E1 osteoblasts

MC3T3-E1 cells in culture exhibit a temporal sequence of development similar to in vivo bone formation. To examine whether the developmental expression of the osteoblast phenotype depends on serum derived factors, we compared the timedependent expression of alkaline phosphatase (ALP)-a marker of osteoblastic maturation- in MC3T3-E1 cells grown in the presence of fetal bovine serum (FBS) or resin/charcoal-stripped (AXC) serum. ALP was assessed by measuring enzyme activity, immunoblotting, and Northern analysis. Growth of MC3T3-E1 cells in FBS resulted in the programmed upregulation of alkaline phosphatase (ALP) post-proliferatively during osteoblast differentiation. In the presence of complete serum, actively proliferating cells during the initial culture period expressed low ALP levels consistent with their designation as pre-osteoblasts, whereas postmitotic cultures upregulated ALP protein, message, and enzyme activity. In addition, undifferentiated early cultures of MC3T3-E1 cells were refractory to forskolin (FSK) stimulation of ALP, but became forskolin responsive following prolonged culture in FBS containing media. In contrast, MC3T3-E1 cells grown in AXC serum displayed limited growth and failed to show a time-dependent increase in alkaline phosphatase. Neither the addition of IGF-I to AXC serum to augment cell number or plating at high density restored the time-dependent upregulation of alkaline phosphatase. Cells incubated in AXC serum for 14 days, however, though expressing low alkaline phosphatase levels, maintained the capacity to upregulate ALP after FBS re-addition or forskolin activation of cAMP-dependent pathways. Such time-dependent acquisition of FSK responsiveness and serum stimulation of ALP expression only in mature osteoblasts indicate the possible presence of differentiation switches that impart competency for a subset of osteoblast developmental events that require complete serum for maximal expression. © 1994 Wiley-Liss, Inc.     

Multiscale analyses of mammal species composition--environment relationship in the contiguous USA

Relationships between species composition and its environmental determinants are a basic objective of ecology. Such relationships are scale dependent, and predictors of species composition typically include variables such as climate, topographic, historical legacies, land uses, human population levels, and random processes. Our objective was to quantify the effect of environmental determinants on U.S. mammal composition at various spatial scales. We found that climate was the predominant factor affecting species composition, and its relative impact increased in correlation with the increase of the spatial scale. Another factor affecting species composition is land-use-land-cover. Our findings showed that its impact decreased as the spatial scale increased. We provide quantitative indication of highly significant effect of climate and land-use-land-cover variables on mammal composition at multiple scales.     

Neonatal animal models of opiate withdrawal

The symptoms of opiate withdrawal in infants are defined as neonatal abstinence syndrome (NAS). NAS is a significant cause of morbidity in term and preterm infants. Factors, such as polysubstance abuse, inadequate prenatal care, nutritional deprivation, and the biology of the developing central nervous system contribute to the challenge of evaluating and treating opiate-induced alterations in the newborn. Although research on the effects of opiates in neonatal animal models is limited, the data from adult animal models have greatly contributed to understanding and treating opiate tolerance, addiction, and withdrawal in adult humans. Yet the limited neonatal data that are available indicate that the mechanisms involved in these processes in the newborn differ from those in adult animals, and that neonatal models of opiate withdrawal are needed to understand and develop effective treatment regimens for NAS. In this review, the behavioral and neurochemical evidence from the literature is presented and suggests that mechanisms responsible for opiate tolerance, dependence, and withdrawal differ between adult and neonatal models. Also reviewed are studies that have used neonatal rodent models, the authors' preliminary data based on the use of neonatal rat and mouse models of opiate withdrawal, and other neonatal models that have been proposed for the study of neonatal opiate withdrawal.     

Analyzing spatially distributed binary data using independent-block estimating equations

We estimate the relation between binary responses and corresponding covariate vectors, both observed over a large spatial lattice. We assume a hierarchical generalized linear model with probit link function, partition the lattice into blocks, and adopt the working assumption of independence between the blocks to obtain an easily solved estimating equation. Standard errors are obtained using the "sandwich" estimator together with window subsampling (Sherman, 1996, Journal of the Royal Statistical Society, Series B58, 509-523). We apply this to a large data set describing long-term vegetation growth, together with two other approximate-likelihood approaches: pairwise composite likelihood (CL) and estimation under a working assumption of independence. The independence and CL methods give similar point estimates and standard errors, while the independent-block approach gives considerably smaller standard errors, as well as more easily interpretable point estimates. We present numerical evidence suggesting this increased efficiency may hold more generally.     

Environmental heterogeneity affects the location of modelled communities along the niche–neutrality continuum

The continuum hypothesis has been proposed as a means to reconcile the contradiction between the niche and neutral theories. While past research has shown that species richness affects the location of communities along the niche–neutrality continuum, there may be extrinsic forces at play as well. We used a spatially explicit continuum model to quantify the effects of environmental heterogeneity, comprising abundance distribution and spatial configuration of resources, on the degree of community neutrality. We found that both components of heterogeneity affect the degree of community neutrality and that species'' dispersal characteristics affect the neutrality–heterogeneity relationship. Narrower resource abundance distributions decrease neutrality, while spatial configuration, which is manifested by spatial aggregation of resources, decreases neutrality at higher aggregation levels. In general, the degree of community neutrality was affected by complex interactions among spatial configuration of resources, their abundance distributions and the dispersal characteristics of species in the community. Our results highlight the important yet overlooked role of the environment in dictating the location of communities along the hypothesized niche–neutrality continuum.     

Bird and mammal species composition in distinct geographic regions and their relationships with environmental factors across multiple spatial scales

Global patters of species distributions and their underlying mechanisms are a major question in ecology, and the need for multi‐scale analyses has been recognized. Previous studies recognized climate, topography, habitat heterogeneity and disturbance as important variables affecting such patterns. Here we report on analyses of species composition – environment relationships among different taxonomic groups in two continents, and the components of such relationships, in the contiguous USA and Australia. We used partial Canonical Correspondence Analysis of occurrence records of mammals and breeding birds from the Global Biodiversity Information Facility, to quantify relationships between species composition and environmental variables in remote geographic regions at multiple spatial scales, with extents ranging from 10⁵ to 10⁷ km² and sampling grids from 10 to 10,000 km². We evaluated the concept that two elements contribute to the impact of environmental variables on composition: the strength of species' affinity to an environmental variable, and the amount of variance in the variable. To disentangle these two elements, we analyzed correlations between resulting trends and the amount of variance contained in different environmental variables to isolate the mechanisms behind the observed relationships. We found that climate and land use‐land cover are responsible for most explained variance in species composition, regardless of scale, taxonomic group and geographic region. However, the amount of variance in species composition attributed to land use / land cover (LULC) was closely related to the amount of intrinsic variability in LULC in the USA, but not in Australia, while the effect of climate on species composition was negatively correlated to the variability found in the climatic variables. The low variance in climate, compared to LULC, suggests that species in both taxonomic groups have strong affinity to climate, thus it has a strong effect on species distribution and community composition, while the opposite is true for LULC.