Determining desirable levels of ecosystem services per capita

Ecosystem services are the numerous, essential processes that natural ecosystems provide free to human societies. Examples include the maintenance of breathable air; the movement, storage, and purification of water; the breakdown of wastes; and the provision of food, building materials, and medicines. However, the exponential increases in human population and concomitant environmental destruction make it likely that the level of ecosystem services available per capita will decline. There are three possible scenarios. First, if present practices continue, ecosystem services per capita will surely decline. Second, if a no-net-loss policy is implemented for habitats and species, ecosystem services per capita will still decline due to increases in human population, but the declines will be less precipitous. Third, if habitat is restored (including concomitant ecosystem services) at a rate exceeding that of destruction, then, perhaps the current level of ecosystem services per capita can be maintained, or even expanded to provide increased levels of ecosystem services per capita to more of the world's people.     

Rapid assessment of single-copy nuclear DNA variation in diverse species

We investigated the use of PCR primers designed to conserved exons within nuclear DNA to amplify potentially variable regions such as introns or hypervariable exons from a wide range of species. We then explored various approaches to assay population-level variation in these PCR products. Primers designed to amplify regions within the histone H2AF, myoglobin , MHC DQA , and aldolase (ALD) genes gave clean amplifications in diverse mammals (DQA) , and in birds, reptiles and mammals ( aldolase, H2AF, myoglobin ). The sequenced PCR products generally, but not always, confirmed that the correct locus had been amplified. Several primer sets produced smaller size fragments consistent with preferential amplification of intronless pseudogenes; this was confirmed by sequencing seal and reptile H2AF PCR products. Digestion with randomly selected four-base recognizing enzymes detected variation in some cases but not in others. In species/gene combinations with either low (e.g. seal H2AF, ALD-A ) or high (e.g. skink ALD-1 ) nucleotide diversity it was more efficient to sequence a small number of distantly related individuals (e.g. one per geographic population) and from these data to identify informative or potentially informative restriction enzymes for 'targeted' digestion. We conclude that for studies of population-level variation, the optimal approach is to use a battery of primers for initial PCR of both mtDNA and scnDNA loci, select those that give clean amplifications, and sequence one sample from each population to (i) confirm gene identity, (ii) estimate the amount of variation and, (iii) search for diagnostic restriction sites. This will allow determination of the most efficient approach for a large-scale study.     

Density‐dependent parasitism in biological control of soil‐borne insects,nematodes, fungi and bacteria

Temporal density‐dependent parasitism appears to explain the development of some pest‐ and pathogen‐suppressive soils. In many examples, an enrichment of hosts (soil‐borne pests or pathogens) precedes and supports a build up of beneficial parasites in perennial crops or in monocultures, and the population dynamics of hosts and parasites may be described in epidemiological terms. Although the examples support the concept of a balance of nature based on density‐dependent regulation, we lack detailed understanding of the processes that drive these beneficial epidemics. In addition, the epidemics develop slowly and often do not provide the control expected by farmers. Current research, therefore, emphasizes inundative release of beneficial agents. Nevertheless, we should study epidemics in soil in order to learn how they might be enhanced; to learn how better to utilize inoculum that is inundatively added to soil; and to contribute to the general discussion of population biology and regulation.     

Does hunting affect the demography and genetic structure of the greywing francolin Francolinus africanus?

Hunted and unhunted populations of greywing francolin Francolinus africanus have been studied in the eastern Cape Province of South Africa in order to understand the effects of hunting on the demography and genetic structure of these populations. Greywing population density cycled annually for both hunted and unhunted populations. However, there was an apparent pulse of immigration of sub-dominant birds, and earlier reproduction, in the hunted populations immediately after the winter hunting season. Average levels of allozyme heterozygosity (H) for hunted and unhunted populations were both 0.076, and although the proportion of polymorphic loci per sample and the mean number of alleles per locus for each sample were lower for the hunted populations than for the unhunted populations, these differences were not significant. However, the hunted populations displayed higher levels of outbreeding (lower F _IS and F _IT values) than those for unhunted populations. Therefore, it is concluded that although greywing francolin populations contain relatively high levels of genetic heterogeneity, it is probably the increased levels of local immigration following hunting which reduces the effects of any reduction in genetic variation due to a decrease in local population size from hunting.     

Semiparametric estimation of the transformation model by leveraging external aggregate data in the presence of population heterogeneity

Leveraging information in aggregate data from external sources to improve estimation efficiency and prediction accuracy with smaller scale studies has drawn a great deal of attention in recent years. Yet, conventional methods often either ignore uncertainty in the external information or fail to account for the heterogeneity between internal and external studies. This article proposes an empirical likelihood-based framework to improve the estimation of the semiparametric transformation models by incorporating information about the t-year subgroup survival probability from external sources. The proposed estimation procedure incorporates an additional likelihood component to account for uncertainty in the external information and employs a density ratio model to characterize population heterogeneity. We establish the consistency and asymptotic normality of the proposed estimator and show that it is more efficient than the conventional pseudopartial likelihood estimator without combining information. Simulation studies show that the proposed estimator yields little bias and outperforms the conventional approach even in the presence of information uncertainty and heterogeneity. The proposed methodologies are illustrated with an analysis of a pancreatic cancer study.     

Passage number of cancer cell lines: Importance,intricacies, and way-forward

Cancer cell lines play a crucial role as invaluable models in cancer research, facilitating the examination of cancer progression as well as the advancement of diagnostics and treatments. While they may not perfectly replicate the original tumor, they generally exhibit similar characteristics. Low-passage cancer cell lines are generally preferred due to their closer resemblance to the original tumor, as long-term culturing can alter the genetic and molecular profiles of a cell line thereby highlighting the importance of monitoring the passage number (PN). Variations in proliferation, migration, gene expression, and drug sensitivity can be linked to PN differences. PN can also influence DNA methylation levels, metabolic profiles, and the expression of genes/or proteins in cancer cell lines. When conducting research on cancer cell lines, it is crucial for researchers to carefully select the appropriate PN to maintain consistency and reliability of results. Moreover, to ensure dependability and replicability, scientists ought to actively track the growth, migration, and gene/or protein profiles of cancer cell lines at specific PNs. This approach enables the identification of the most suitable range of PNs for experiments, guaranteeing consistent and precise results. Additionally, such efforts serve to minimize disparities and uphold the integrity of research. In this review, we have laid out recommendations for laboratories to overcome these PN discrepancies when working with cancer cell lines.     

Genetic inference of orchid population dynamics on different-aged lava flows in Costa Rica

Colonization is a fundamental ecological process that is important for the persistence of species, particularly when a changing environment necessitates range shifts. Vacant habitats available for colonization often arise from landscape disturbance. Colonization and population expansion processes can be inferred by examining the levels and spatial distribution of genetic variation of plant populations with known disturbance histories. Samples (N = 690) of the terrestrial orchid, Epidendrum radicans, were collected from five lava flow sites on the slopes of Volcán Arenal in Costa Rica that last experienced major eruptions in 1968 and 1992. Individuals were also sampled (N = 188) from four regional populations. Samples were characterized using 15 nuclear genetic markers and analyzed using population genetics statistics. Genetic diversity within sites was moderate (H_e = 0.092–0.192). Contrary to expectation, diversity tended to be lower on the older lava flows (0.131 vs. 0.172) which may reflect their more sheltered topography that restricted pollen/seed immigration, and/or greater intra- and interspecific competition. Genetic diversity measures indicate that the lava flows were colonized by numerous individuals that likely originated from multiple sources while spatial genetic structure (SGS) statistics indicate that most recruitment in the study sites subsequent to colonization resulted from in situ reproduction and localized seed deposition. Younger sites had significantly greater SGS over larger distances which reflects fewer reproductive events, and less spatial and temporal overlap of seed shadows relative to the older sites. Clones were also generally smaller on the younger sites (≤3 m vs. ≤8 m).     

Limited genetic differentiation of Mycetomoellerius mikromelanos in Parque National Soberanía,Panama: Implications for queen dispersal

The coevolutionary relationship between fungus-growing ants (Formicidae: Attini: Attina) and their symbionts has been well studied in the Panamanian rain forests. To further understand the ecological context of these evolutionary relationships, we have examined the population-genetic structure of the fungus-growing ant species Mycetomoellerius mikromelanos Cardenas, Schultz, Adams 2021 in the Panama Canal Zone. We specifically investigated the presence of population structure, the significance of geographic features (i.e., creeks) limiting gene flow, and relatedness between ant colonies. To accomplish this, we genotyped 85 ant colonies from nine creeks across an approximately 30 km transect in Parque National Soberanía, Panama, using double-digest restriction-site-associated DNA sequencing. We did not find distinct population structure using two genetic clustering methods; however, we did detect an effect of isolation by distance. Furthermore, related colonies were frequently detected on the same creek or neighboring creeks, and some at further geographic distances. Collectively, these findings demonstrate that new colonies tend to establish on natal creeks and occasionally on distant creeks following long-distance dispersal events. We discuss how population-genetic patterns reveal the natural history of M. mikromelanos in Parque National Soberanía and how these results fit into the context of fungus-growing ant mutualisms. Abstract in Spanish is available with online material.     

MORTALITY OF SEA OTTERS IN PRINCE WILLIAM SOUND FOLLOWING THE EXXON VALDEZ OIL SPILL

Abstract: This paper presents an estimate of the total number of sea otters that died as a direct consequence of the oil spill that occurred when the T/V Exxon Valdez grounded in Prince William Sound, Alaska on 24 March 1989. We compared sea otter counts conducted from small boats throughout the Sound during the summers of 1984 and 1985 to counts made after the spill during the summer of 1989. We used ratio estimators, corrected for sighting probability, to calculate otter densities and population estimates for portions of the Sound affected by the oil spill. We estimated the otter population in the portion of Prince William Sound affected by the oil was 6,546 at the time of the spill and that the post-spill population in the summer of 1989 was 3,898, yielding a loss estimate of approximately 2,650. Bootstrapping techniques were used to approximate confidence limits on the loss estimate of about 500–5,000 otters. The wide confidence limits are a result of the complex scheme required to estimate losses and limitations of the data. Despite the uncertainty of the loss estimate it is clear that a significant fraction of the otters in the spill zone survived. We observed otters persisting in relatively clean embayments throughout the oil spill zone suggesting that the highly convoluted coastline of Prince William Sound produced refuges that allowed some sea otters in the oil spill area to survive.