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Green's function method in the radiative transfer problem. II. Spatially heterogeneous anisotropic surface.

The most recent theoretical studies have shown that three-dimensional (3-D) radiation effects play an important role in the optical remote sensing of atmospheric aerosol and land surface reflectance. These effects may contribute notably to the error budget of retrievals in a broad range of sensor resolutions, introducing systematic biases in the land surface albedo data sets that emerge from the existing global observation systems. At the same time, 3-D effects are either inadequately addressed or completely ignored in data processing algorithms. Thus there is a need for further development of the radiative transfer theory that can rigorously treat both 3-D and surface anisotropy effects and yet be flexible enough to permit the development of fast forward and inversion algorithms. We describe a new theoretical solution to the 3-D radiative transfer problem with an arbitrary nonhomogeneous non-Lambertian surface. This solution is based on an exact semianalytical solution derived in operator form by the Green's function method. The numerical implementation is based on several parameterizations that accelerate the solution dramatically while keeping its accuracy within several percent under most general conditions.

Journal Article↗

[Socio-spatial heterogeneity and differential fertility in Bolivia. Pt. 2 (author's transl)].

In this research, based on the 1976 census, the population is simultaneously disaggregated in 3 regions, 5 urbanization levels, and 5 social sectors. This 2nd part discusses the role of intermediate variables both through the differential analysis of marital fertility and a simulation exercise with the Bongaarts model. An analysis is also made of the trends of general fertility between 1963-1972, estimated through the "own children method." The findings show that the stability of fertility in the country would be the consequence of the fertility rise in the rural areas and its decrease in the urban areas, particularly in the intermediate strata. There is indirect evidence that this decrease would mainly be the result of the growing practice of birth control. The effect of education on fertility would be strongly conditioned by the urbanization level. The higher fertility in the region of "los Llanos" would be the consequence of a higher nuptiality conditioned by the sex composition of internal migrations.

Americas↗

Histochemical demonstration of spatial heterogeneity in the interphotoreceptor matrix of the rat retina.

The interphotoreceptor matrix (IPM) is a mixture of acidic mucosubstances, which can be demonstrated histochemically with cationic dyes, such as Alcian blue, and metal precipitates, such as colloidal iron. In the normal rat retina, staining of the IPM with these reagents is found predominantly at the apical surface of the retinal pigment epithelium (RPE) and, to a lesser extent, at the junction of the photoreceptor inner and outer segments (basal IS/OS zone). The authors have attempted to characterize the IPM in these two regions using histochemical staining of wax-embedded sections. Prior to staining, the following chemical treatments or enzymatic digestions were performed: neuraminidase (NA), with or without prior deacetylation, mild acid hydrolysis (MAH), testicular hyaluronidase (TH), Streptomyces hyaluronidase (SH), and chondroitinase AC (ChAC). NA alone, deacetylation/NA, and MAH all result in great reduction or total loss of stainable IPM at the RPE apical surface, and only slight or no reduction of stainable IPM in the basal IS/OS zone. Since these procedures remove sialoglycoconjugates, the findings suggest that the IPM concentrated at the apical surface of the RPE is composed in large part of sialoglycoconjugates, that little sialoglycoconjugate is present in the basal zone, and that the sialoglycoconjugates are of a neuraminidase-labile group. SH produces little or no reduction of stainable IPM in either the apical RPE or basal IS/OS zones. TH and ChAC also cause little or no reduction of stainable IPM at the RPE apical surface, but produce a great reduction of stainable IPM in the basal IS/OS zone, leaving a small amount of residual basal material. Since SH digests only hyaluronic acid, and TH and ChAC both digest hyaluronic acid and chondroitin SO4 A and C, the findings suggest that little or no hyaluronic acid is present in either the apical RPE or basal IS/OS zones, and the IPM at the RPE apical surface contains little or no chondroitin SO4 A and C, whereas the stainable IPM in the basal IS/OS zone is composed, at least in large part, of chondroitin SO4 A and C. Predominant basal localization of chondroitin SO4 is further suggested by the staining of this region with Alcian blue at low pH. Sequential digestion with TH/MAH or ChAC/NA produces a complete removal of all stainable IPM, including the TH-insensitive residual basal material. This residual material at the basal IS/OS zone, therefore, appears to be sialoglycoconjugate.(ABSTRACT TRUNCATED AT 400 WORDS)

Animals↗

Aggregate statistical measures and metapopulation dynamics.

There are two main types of metapopulation models. Spatially implicit models are analytically tractable but neglect spatial heterogeneities. Spatially explicit models are more realistic but too complex. In this paper, I build a bridge between both approximations. I derive a new metapopulation model using a well-known technique in population genetics. Spatial heterogeneities are captured by an aggregate statistical measure of spatial correlation. When this correlation is zero, i.e., space is homogeneous, the model becomes the well-known Levins' model. As spatial correlation increases, equilibrium patch occupancy decreases from what would be expected under the spatially homogeneous assumption. I proceed by testing how well spatial complexities from a spatially explicit simulation can be encapsulated by such an aggregate statistical measure.

Animals↗

A contribution of sparse matrices tools to matrix population model analysis.

When one wants to study the dynamics of structured populations, matrix type models are widely used. The complexity of such models increases with the number of classes of individuals considered, and a mathematical analysis becomes difficult to perform when a further heterogeneous spatial structure is introduced. The use of efficient computational tools is also required for numerical simulations. In this note we deal with the contribution of sparse matrices tools which allow to numerically simulate and to numerically perform stability analysis of large sized structured population models including density dependence and spatial heterogeneities. Our main motivation through this work is to show that such numerical tools can be useful when mathematical methods become difficult to employ.

Age Factors↗

Integrated single-cell and spatial transcriptomic analyses reveal malignant epithelial glycolytic heterogeneity and spatial niche remodeling during colorectal cancer progression.

Colorectal cancer (CRC) progression is shaped by metabolic reprogramming and complex interactions within the tumor microenvironment. However, the cellular heterogeneity, spatial organization, and clinical relevance of glycolytic activity in CRC remain incompletely understood. In this study, we integrated single-cell RNA sequencing, bulk transcriptomics, and spatial transcriptomics data to systematically characterize glycolytic heterogeneity in CRC. Glycolytic activity was quantified using five independent scoring methods, consistently showing that epithelial cells exhibited the highest glycolytic activity across the two single-cell cohorts. Stratification of CopyKAT-verified aneuploid malignant epithelial cells into high-glycolysis (HG) and low-glycolysis (LG) subgroups by glycolysis scores revealed that HG cells exhibited higher stemness scores and chromosomal copy number variations. Cell-cell communication analysis revealed that, compared with LG cells, HG cells exhibited increased interaction frequency and strength with immune and stromal populations, indicating enhanced malignant epithelial-microenvironment crosstalk. Spatial transcriptomics analyses further revealed that glycolytic activity varied across normal colorectal tissue, primary CRC, and colorectal liver metastases, accompanied by progressive remodeling of epithelial-associated spatial niches and MIF-mediated intercellular communication. Bulk transcriptomic analysis identified a glycolysis-related prognostic signature with robust predictive performance, which served as an independent prognostic factor for overall survival in CRC cohorts. Collectively, these findings indicate that glycolytic heterogeneity is a key feature of CRC malignant epithelial cells and is closely associated with tumor progression, microenvironmental remodeling, and clinical outcomes.

Humans↗

Population genetics of the schistosome intermediate host Biomphalaria pfeifferi in the Zimbabwean highveld: implications for co-evolutionary theory.

Co-evolutionary theory proposes that polymorphisms in co-evolved traits may be maintained through differential selection in spatially heterogeneous environments. Spatial heterogeneity of the schistosome intermediate host, Biomphalaria pfeifferi, was investigated here, using RAPD markers. Overall, 256 individuals, collected at 32 sites on 13 rivers in the Chiweshe region of Zimbabwe, were analysed. Significant genetic differentiation was demonstrated, both between populations from the different rivers and between populations collected at different sites on each of several of the rivers investigated. However, the presence of spatial differentiation between populations from individual rivers varied with river type. It was not apparent in permanent, deep, fast-flowing rivers, where high levels of migration, through passive dispersal along the rivers, are likely. The snails collected from shallow, semi-permanent rivers not only showed relatively high levels of population subdivision but also high levels of within-site genetic diversity, consistent with the existence of 'co-evolutionary hot-spots' where schistosome infection may be prevalent. These results are discussed with reference to the population biology of B. pfeifferi and to host-parasite co-evolution.

Analysis of Variance↗

Chernobyl as a population sink for barn swallows: tracking dispersal using stable-isotope profiles.

Stable-isotope profiles of feathers can reveal the location or habitat used by individual birds during the molting period. Heterogeneity in isotope profiles will reflect heterogeneity in molt locations, but also heterogeneity in breeding locations, because spatial heterogeneity in molt locations will be congruent with spatial heterogeneity in breeding locations in species with high connectivity between breeding and molting sites. We used information on the congruence of spatial heterogeneity in molt and breeding location to study population processes in Barn Swallows (Hirundo rustica) from a region. near Chernobyl, Ukraine, that has been radioactively contaminated since 1986; from an uncontaminated control region near Kanev, Ukraine; and from a sample of pre-1986 museum specimens used to investigate patterns prior to the nuclear disaster at Chernobyl, from both regions. Previous studies have revealed severe reductions in Barn Swallow reproductive performance and adult survival in the Chernobyl region, implying that the population is a sink and unable to sustain itself. Female Barn Swallows are known to disperse farther from their natal site than males, implying that female stable-isotope profiles should tend to be more variable than profiles of males. However, if the Barn Swallows breeding at Chernobyl are not self-sustaining, we would expect males there also to originate from a larger area than males from the control region. We found evidence that the sample of adult Barn Swallows from the Chernobyl region was more isotopically heterogeneous than the control sample, as evidenced from a significant correlation between feather sigma13C and sigma15N values in the control region, but not in the Chernobyl region. Furthermore, we found a significant difference in feather sigma15N values between regions and periods (before and after 1986). When we compared the variances in sigma13C values of feathers, we found that variances in both sexes from post-1986 samples from Chernobyl were significantly larger than variances for feather samples from the control region, and than variances for historical samples from both regions. These findings suggest that stable-isotope measurements can provide information about population processes following environmental perturbations.

Aging↗

Spatial and space-time clustering of childhood acute leukaemia in France from 1990 to 2000: a nationwide study.

This study aimed to investigate the spatial and space-time distributions of cases of childhood acute leukaemia (CL) during 1990-2000 over the whole French territory. A global spatial heterogeneity and a spatial autocorrelation were first considered using the methods proposed by Potthoff and Whittinghill, Moran and Rogerson methods. The presence of space-time interaction between the places of residence and the dates of diagnosis was investigated with the Knox's test. Finally, the Kulldorff's statistic permitted to scan the whole territory in search for localised clusters. Two time periods were considered (1990-1994, 1995-2000). Overall, a statistically significant spatial heterogeneity of a very small magnitude was observed in the incidence of CL over 1990-1994, but neither over 1995-2000 nor over the whole time period. Moreover, a significant overdispersion of 5.5% was evidenced for 0-4 year children living in isolated areas with more than 50 inhabitants per km(2). Cases older than 10 years living in the same area at diagnosis also tended to cluster within 6 months.

Acute Disease↗

Competition and the Effect of Spatial Resource Heterogeneity on Evolutionary Diversification.

A model is presented to explore how the form of selection arising from competition for resources is affected by spatial resource heterogeneity. The model consists of a single species occupying two patches connected by migration, where the two patches can differ in the type of resources that they contain. The main goal is to determine the conditions under which competition for resources results in disruptive selection (i.e., selection favoring a polymorphism) since it is this form of selection that will give rise to the evolutionary diversification of resource exploitation strategies. In particular, comparing the conditions giving rise to disruptive selection when the two patches are identical to the conditions when they contain different resources reveals the effect of spatial resource heterogeneity. Results show that when the patches are identical, the conditions giving rise to disruptive selection are identical to those that give rise to character displacement in previous models. When the patches are different, the conditions giving rise to disruptive selection can be either more or less stringent depending upon demographic parameters such as the intrinsic rate of increase and the migration rate. Surprisingly, spatial resource heterogeneity can actually make forms of evolutionary diversification such as character displacement less likely. It is also found that results are dependent on how the resource exploitation strategies and the spatial resource heterogeneity affect the population dynamics. One robust conclusion however, is that spatial resource heterogeneity always has a disruptive effect when the migration rate between patches is low.

Journal Article↗

Competition and the Effect of Spatial Resource Heterogeneity on Evolutionary Diversification.

A model is presented to explore how the form of selection arising from competition for resources is affected by spatial resource heterogeneity. The model consists of a single species occupying two patches connected by migration, where the two patches can differ in the type of resources that they contain. The main goal is to determine the conditions under which competition for resources results in disruptive selection (i.e., selection favoring a polymorphism) since it is this form of selection that will give rise to the evolutionary diversification of resource exploitation strategies. In particular, comparing the conditions giving rise to disruptive selection when the two patches are identical to the conditions when they contain different resources reveals the effect of spatial resource heterogeneity. Results show that when the patches are identical, the conditions giving rise to disruptive selection are identical to those that give rise to character displacement in previous models. When the patches are different, the conditions giving rise to disruptive selection can be either more or less stringent depending upon demographic parameters such as the intrinsic rate of increase and the migration rate. Surprisingly, spatial resource heterogeneity can actually make forms of evolutionary diversification such as character displacement less likely. It is also found that results are dependent on how the resource exploitation strategies and the spatial resource heterogeneity affect the population dynamics. One robust conclusion however, is that spatial resource heterogeneity always has a disruptive effect when the migration rate between patches is low.

Lotka‐Volterra↗

Spatial contaminant heterogeneity: quantification with scale of measurement at contrasting sites.

Material within the terrestrial environment is rarely homogeneously distributed, either spatially or temporally. One consequence of heterogeneity is that uncertainty is usually generated in measurements that are taken with the aim of characterising the environment. For example, a measurement of analyte concentration within soil taken from one sampling location on contaminated land can vary substantially when compared against another sample taken at effectively the same nominal location. The measurement uncertainty arising from the heterogeneity can substantially limit the reliability of the interpretations made upon environmental investigations. The sampling uncertainty usually outweighs the analytical uncertainty from the laboratory, often by a factor of 20 or more. One approach to reducing the uncertainty is to design a more suitable sampling strategy. This might be achieved by predicting the degree of heterogeneity prior to the investigation, but this is often difficult to achieve accurately. Another approach, which was investigated here, is to actually characterise the heterogeneity prior to the main investigation using rapid and inexpensive technology, such as in situ measurement techniques. In situ portable X-ray fluorescence (PXRF) and X-ray microprobe (XMP) techniques were employed to test the feasibility of this approach. Two contrasting contaminated land sites were chosen to characterise the two-dimensional spatial heterogeneity of heavy metal contamination in topsoil at a range of scales (50 m to 0.001 m). The spatial heterogeneity of contaminants, expressed as relative standard deviations, was found to differ between the two sites by a factor of two, largely due to the mode of deposition of pollution. The study also indicated that the heterogeneity did not change systematically with the scale of measurement between sampling locations at either site.

England↗

[Geostatistics analyzing to cause of formation of circle distribution of plant communities in Horqin Sandy Land].

Investigation results in the present study showed that plant communities took typical concentric circles distribution patterns along habitat gradient from top, slope to interdune on a few large fixed dunes in middle part of Korqin Sandy Land. In order to explain this phenomenon, analysis of water content and its spatial heterogeneity in sand layers on different locations of dunes was conducted. In these dunes, water contents in sand layers of the tops were lower than those of the slopes; both of them were lower than those of the interdunes. According to the results of geostatistics analysis, whether shifting dune or fixed dune, spatial heterogeneity of water contents in sand layers took on regular changes, such as ratios between nugget and sill and ranges reduced gradually, fractal dimension increased gradually, the regular changes of these parameters indicated that random spatial heterogeneity reduced gradually, and autocorrelation spatial heterogeneity increased gradually from the top, the slope to the interdune. The regular changes of water contents in sand layers and their spatial heterogeneity of different locations of the dunes, thus, might be an important cause resulted in the formation of the concentric circles patterns of the plant communities on these fixed dunes.

China↗

Array-enhanced coherence resonance: nontrivial effects of heterogeneity and spatial independence of noise.

We demonstrate the effect of coherence resonance in a heterogeneous array of coupled Fitz Hugh-Nagumo neurons. It is shown that coupling of such elements leads to a significantly stronger coherence compared to that of a single element. We report nontrivial effects of parameter heterogeneity and spatial independence of noise on array-enhanced coherence resonance; especially, we find that (i) the coherence increases as spatial correlation of the noise decreases, and (ii) inhomogeneity in the parameters of the array enhances the coherence. Our results have the implication that generic heterogeneity and background noise can play a constructive role to enhance the time precision of firing in neural systems.

Journal Article↗

[Spatial pattern of two dominant shrub populations at transitional zone between oasis and desert of Heihe River Basin].

Based on the field investigation in a 500 m x 500 m plot and applying geo-statistical theory and methods, this paper described the spatial pattern of the coverage, density, height and volume of two shrub populations Nitraria sphaerocarpa and Reaumuria soongorica at the transitional zone between oasis and desert of Heihe River Basin. The average coverage of the two populations was 1.56 +/- 2.34% and 0.23 +/- 0.22%, and their average density was 1.5 +/- 1.8 clump x 100 m(-2) and 2.3 +/- 2.1 individual x 100 m(-2), respectively. The height of N. sphaerocarpa was 0.18 +/- 0.15 m, and its volume 0.10 +/- 0.18 m3. N. sphaerocarpa population exhibited strip distribution pattern, while R. soongorica population showed uniform distribution pattern. The nugget (c0)/sill (c0 + c) ratio of the semivariogram of the two populations was 0.08-0.12, which indicates that the random variance of spatial heterogeneity occupied 8%-12%. In semivariogram model, the range value (A0) of the coverage and density was 14.7 and 33.9 m for N. sphaerocarpa, and 25.2 m and 24.9 m for R. soongorica, respectively. As a whole, the random spatial heterogeneity existed at the scale of 10 m, and autocorrelated spatial heterogeneity existed at the scale of 34 m. The spatial heterogeneity of the coverage and density of the two dominant populations showed both isotropy and anisotropy, and the isotropy scope of R. soongorica population was larger than that of N. sphaerocarpa. The spatial pattern of N. sphaerocarpa population was controlled by two factors. The first was precipitation and surface runoff, and the second was oasisofication and desertification.

Conservation of Natural Resources↗

Temporospatial heterogeneity of myocardial perfusion and blood volume in the porcine heart wall.

Spatial heterogeneity of myocardial perfusion has been recognized for many years. Whether this is primarily the result of heterogeneity of parameters such as myocardial metabolism, of intramyocardial mechanical forces, or of vasomotor function within the myocardial microcirculation, is not clear. A practical problem is that it has been almost impossible to measure any two of these parameters simultaneously in the same piece of myocardium so that an unambiguous correlation, much less a cause-and-effect relationship, has been difficult to establish. In this study of six anesthetized pigs, we propose that whole-body computed tomography is a method for providing the simultaneous measurement of heterogeneity of myocardial perfusion (F) and myocardial blood volume (rho). The first finding was that the empirical relationship rho=AF+BF(0.5) between myocardial blood flow (F) and intramyocardial blood volume (rho) is maintained over a range of sizes of regions of interest (approximately 1 to 0.125 cm3) within the myocardium of each individual animal despite the spatial heterogeneity of the F and the rho values. The value of A ranges from 0.014 to 0.021 min and of B ranges from 0.061 to 0.076 ml(0.5) g(-0.5) min(0.5). A second finding was that the pattern of spatial heterogeneity of F and of rho remained reasonably stable over at least a 1 h period.

Animals↗