Are Defenses of Wild Radish Populations Well Matched with Variability and Predictablity of Herbivory?

Theory predicts that plants should employ constitutive (fixed) defenses when herbivory is consistently strong among years and induced (plastic) defenses when herbivory varies among years but is predictable within a season. We tested this theory by examining the herbivore species and damage censused over three seasons for 20 populations of wild radish in northern California. We conducted assays of constitutive resistance by challenging undamaged plants from these 20 populations with their common herbivores in the greenhouse. We assayed induced resistance by comparing the performance of herbivores on plants that had been experimentally damaged to undamaged plants from the same populations. Following damage, plants generally became more resistant to chewing herbivores (caterpillars) but more susceptible to sucking herbivores (aphids). Constitutive resistance to caterpillars was not stronger for populations that had high levels of herbivory that varied little among years, contrary to theory. Induced resistance may be stronger for plants from populations where herbivory varied more among years, consistent with expectations, although low power makes this conclusion equivocal. Induced resistance was not stronger for populations where early herbivory was a good predictor of late season herbivory. This lack of support for theory could have been caused by inadequacies with the experimental tests or with the theory and its assumptions. The theory assumes a coevolutionary equilibrium; however, high gene flow that has been reported for wild radish could disrupt matches between risk of herbivory and plant defense. The theory also assumes that resistance traits evolved as defenses against herbivory although these traits also serve other functions. Finally, the correlation we measured between early and late season herbivory may be at a temporal scale that is irrelevant since wild radish appears to adjust its defenses very rapidly.     

A Comparison of Step-Detection Methods: How Well Can You Do?

Many biological machines function in discrete steps, and detection of such steps can provide insight into the machines’ dynamics. It is therefore crucial to develop an automated method to detect steps, and determine how its success is impaired by the significant noise usually present. A number of step detection methods have been used in previous studies, but their robustness and relative success rate have not been evaluated. Here, we compare the performance of four step detection methods on artificial benchmark data (simulating different data acquisition and stepping rates, as well as varying amounts of Gaussian noise). For each of the methods we investigate how to optimize performance both via parameter selection and via prefiltering of the data. While our analysis reveals that many of the tested methods have similar performance when optimized, we find that the method based on a chi-squared optimization procedure is simplest to optimize, and has excellent temporal resolution. Finally, we apply these step detection methods to the question of observed step sizes for cargoes moved by multiple kinesin motors in vitro. We conclude there is strong evidence for sub-8-nm steps of the cargo’s center of mass in our multiple motor records.     

Does Forest Scarcity Affect the Collection and Use of Firewood by Rural Communities? A Case Study in the Atlantic Forest of Northeastern Brazil

Many rural communities no longer have abundant forest areas for firewood collection. Based on this scenario, we evaluated how the scarcity of forest environments influences the collection and use of this resource in rural areas. A community located in the Atlantic Forest region of northeastern Brazil, which already lacks forest areas for firewood, was selected for field research. We observed that despite this context of forest scarcity, firewood remains the main source of fuel energy in the community. In total, 27 species of wood were cited, with an emphasis on exotic species in terms of number of citations. The perceived wood quality explained the frequency of plant use, but not the number of consumers. This can be explained by the difficulty of access to some species considered of better quality, because in the studied region, the plants are usually collected in private areas. Efforts in conservation strategies are recommended to encourage an increase in the frequency of use of the available exotic species in order to safeguard the native ones.     

How strong is the current carbon sequestration of an Atlantic blanket bog?

Although northern peatlands cover only 3% of the land surface, their thick peat deposits contain an estimated one‐third of the world's soil organic carbon (SOC). Under a changing climate the potential of peatlands to continue sequestering carbon is unknown. This paper presents an analysis of 6 years of total carbon balance of an almost intact Atlantic blanket bog in Glencar, County Kerry, Ireland. The three components of the measured carbon balance were: the land‐atmosphere fluxes of carbon dioxide (CO₂) and methane (CH₄) and the flux of dissolved organic carbon (DOC) exported in a stream draining the peatland. The 6 years C balance was computed from 6 years (2003–2008) of measurements of meteorological and eddy‐covariance CO₂ fluxes, periodic chamber measurements of CH₄ fluxes over 3.5 years, and 2 years of continuous DOC flux measurements. Over the 6 years, the mean annual carbon was ?29.7±30.6 (±1 SD) g C m^?2 yr^?1 with its components as follows: carbon in CO₂ was a sink of ?47.8±30.0 g C m^?2 yr^?1; carbon in CH₄ was a source of 4.1±0.5 g C m^?2 yr^?1 and the carbon exported as stream DOC was a source of 14.0±1.6 g C m^?2 yr^?1. For 2 out of the 6 years, the site was a source of carbon with the sum of CH₄ and DOC flux exceeding the carbon sequestered as CO₂. The average C balance for the 6 years corresponds to an average annual growth rate of the peatland surface of 1.3 mm yr^?1.     

Is the Atlantic Forest protected area network efficient in maintaining viable populations of Brachyteles hypoxanthus?

Habitat loss and fragmentation are serious threats to biodiversity conservation in the Atlantic Forest. A network of protected areas is essential to the protection of native biodiversity. However, internal and external factors may threaten the preservation of biota, thus population viability analyses (PVA) are important tools in protected area design and management planning. A PVA was carried out, using the computer package VORTEX, to assess the effectiveness of the protected area network within the Atlantic Forest in Brazil in retaining viable populations of the endemic primate Brachyteles hypoxanthus. The Brazilian Atlantic Forest has 42 protected areas within B. hypoxanthus geographic distribution area, and only five of those were considered to retain viable populations for 50 generations, whereas 28 were predicted to suffer from genetic decay, seven from both genetic decay and demographic stochasticity, and two of them are probably extinct populations. The model indicates that although the protected area network of the Atlantic Forest will likely keep B. hypoxanthus populations for the next 50 generations, most of them (35 out of 42, or 83%) will be facing some kind of demographic and/or genetic problem and will probably need management actions to be implemented in order to ensure their persistence.     

Micro‐ or macroscale? Which one best predicts the establishment of an endemic Atlantic Forest palm?

Historically, macroecology and microecology have diverged with regard to the niche concept. A better understanding of functioning ecological systems, however, depends on an integrative approach to this concept at different spatial scales. A mixed approach, merging macro‐ and microscale by validating ecological niche modeling (ENM) with the results of in situ experiments and environmental data collection was used to understand if areas identified by ENM as highly suitable for adult palms are also adequate for seedling establishment. Syagrus weddelliana's (Arecaceae) distribution range falls within the Atlantic Rain Forest, and more specifically Serra dos Órgãos region (Rio de Janeiro state), southeastern Brazil. The following steps were performed: (a) ENM to delimit the area of occurrence of S. weddelliana and locate experimental areas; (b) a seed sowing experiment in areas with presence or absence of the species in areas of high or low environmental suitability at 36 experimental stations; and (c) characterization of each microhabitat which was related back to the macroscale results of ENM. Evidence of biotic and abiotic limitations was found for S. weddelliana distribution. Areas of higher suitability had lower seed predation rates and, consequently, higher seed germination rates. On the other hand, areas with low environmental suitability at the macroscale were divided into two types: areas with microhabitat similar to that of areas with high environmental suitability that had some germination despite high predation and areas with different environmental conditions that had no germination and high predation rates. Seedlings and adults had different abiotic requirements. Microhabitat conditions were more important for the initial establishment of S. weddelliana than macroclimatic variables. This finding demonstrates that macro‐ and microecological information works in a complementary way to a better understanding of the distribution of S. weddelliana.     

Do abandoned nests of leaf‐cutting ants enhance plant recruitment in the Atlantic Forest?

The role played by abandoned nests of leaf‐cutting ants (Atta spp.) as a small‐scale disturbance regime that affects plant recruitment, species coexistence and forest regeneration remains poorly investigated. Here we examine whether abandoned nests of Atta cephalotes serve as regeneration niches and operate as particular plant recruitment habitats, favouring forest regeneration after ant activities cease and leading to the establishment of taxonomically/ecologically distinct plant assemblages. Soil properties, canopy openness, light availability and regenerating plant assemblages were evaluated across 18 nests and adjacent control plots in a large remnant of Atlantic Forest in north‐east Brazil from December 2004 to December 2005. Surprisingly, nests and control plots exhibited very similar light environments irrespective of nest age, but nest soils exhibited substantial reductions in carbon content (1.45 ± 0.24 vs. 1.79 ± 0.13%) and organic matter (2.50 ± 0.41 vs. 3.08 ± 0.23%), and proved to be much more resistant to penetration (30.57 ± 6.08 vs. 39.48 ± 7.53 mm). Functional signature of regenerating plant assemblages exhibited little variation across both habitat types, as they were dominated by pioneer, small‐seeded and vertebrate‐dispersed species. However, abandoned nests exhibited less dense, impoverished and more homogeneous regenerating plant assemblages at local and landscape scale; they clearly lacked nest‐dependent plant species and represented floristic subsets of the flora inhabiting the undisturbed forest. This recruitment bottleneck was transient in the long term because nest‐related effects ameliorated in older nests. Our results suggest that, unlike treefall gaps, abandoned nests represent temporary (relatively long‐lasting) islands of unsuitable substrate that reduce plant recruitment, retard forest regeneration, and fail in providing a special regeneration niche able to promote species coexistence and plant diversity.     

Effectiveness of Mosquito Magnet? trap in rural areas in the southeastern tropical Atlantic Forest

Traps are widely employed for sampling and monitoring mosquito populations forsurveillance, ecological and fauna studies. Considering the importance of assessingother technologies for sampling mosquitoes, we addressed the effectiveness ofMosquito Magnet^® Independence (MMI) in comparison with those of the CDCtrap with CO2 and Lurex3^® (CDC-A) and the CDC light trap (CDC-LT). Fieldcollections were performed in a rural area within the Atlantic Forest biome,southeastern state of São Paulo, Brazil. The MMI sampled 53.84% of the total numberof mosquitoes, the CDC-A (26.43%) and CDC-LT (19.73%). Results of the Pearsonchi-squared test (χ2) showed a positive association between CDC-LT and species ofCulicini and Uranotaeniini tribes. Additionally, our results suggested a positiveassociation between CDC-A and representatives of the Culicini and Aedini tribes,whereas the MMI was positively associated with the Mansoniini and Sabethini as wellas with Anophelinae species. The MMI sampled a greater proportion (78.27%) ofindividuals of Anopheles than either the CDC-LT (0.82%) or the CDC-Atraps (20.91%). Results of the present study showed that MMI performed better thanCDC-LT or CDC-A in sampling mosquitoes in large numbers, medically important speciesand assessing diversity parameters in rural southeastern Atlantic Forest.     

How Much is Enough? Estimating the Minimum Sampling Required for Effective Monitoring of African Reserves

Effective biological monitoring in developing countries requires a balance of rigour and practicality. Unfortunately, there exist few general guidelines to help practitioners design monitoring programs that reach this balance. Here, we analyse a 33-year monitoring program from Ghana, West Africa, to provide both specific and general suggestions for monitoring in developing countries. Since the late 1960s the Ghana Wildlife Division has monitored more than 40 wildlife species with monthly surveys at sites throughout Ghana's nature reserves. These data present unparalleled opportunities to illuminate the scale and pattern of changes in animal abundance over time and the forces that drive these changes. We used sub-sampling of the Ghana monitoring data for four species in two savanna reserves to identify the minimum level of monitoring necessary to reliably detect changes in wildlife populations over 5-year intervals. We used a similar approach to estimate the minimum sampling needed to infer changes in abundance of hunters in reserves. Our results highlight the relative importance of comprehensive spatial and temporal sampling and suggest a requirement of no less than one monitoring site per every 285 km² in large reserves and 65 km² in smaller reserves. We discuss briefly the cost of effective monitoring and the relevance of our results to other regions of Africa and the world.     

How may agricultural matrix intensification affect understory birds in an Atlantic Forest landscape? A qualitative model on stochasticity and immigration

Understanding how different approaches of matrix management affect organisms that inhabit natural patches is crucial for biological conservation. Considering that great part of the tropical area is composed of agricultural land and that most of the land use is either intensified or on the verge to be, a relevant question is: how may agricultural intensification of the landscape matrix affect the population dynamics of understory birds? This paper describes a qualitative model based on the Qualitative Process Theory and implemented in Garp3 to provide answers to this question. We built a model using four species of endemic passerine birds in order to evaluate the case in an Atlantic Forest area, a biodiversity hotspot. The model describes a landscape composed of an extinction-resistant source patch and one target forest patch where stochastic events occur. If permeability of the matrix exceeds a given species-specific threshold, propagules coming from the source reach the target patch. Agriculture intensification affects the matrix spatial structure and reduces permeability to forest birds, thus reduces rescue effect. Additionally, we assume that some species may use the matrix as a supplementary habitat for feeding and that matrix management may affect the resource base for those species. Simulation results suggest that, if agriculture intensification continues to threat the Atlantic Forest biome, populations of sensitive species (Xiphorhynchus fuscus and Sclerurus scansor) that exist in the small forest patches (which is true for most forest remnants) will be highly susceptible to local extinctions and without further re-colonization.     

How Well Does the World Health Organization Definition of Domestic Violence Work for India?

Domestic violence (DV) is reported by 40% of married women in India and associated with substantial morbidity. An operational research definition is therefore needed to enhance understanding of DV epidemiology in India and inform DV interventions and measures. To arrive at a culturally-tailored definition, we aimed to better understand how definitions provided by the World Health Organization and the 2005 India Protection of Women from Domestic Violence Act match the perceptions of behaviors constituting DV among the Indian community. Between September 2012 and January 2013, 16 key informant interviews with experts in DV and family counseling and 2 gender-concordant focus groups of lay community members were conducted in Pune, India to understand community perceptions of the definition of DV, perpetrators of DV, and examples of DV encountered by married women in Pune, India. Several key themes emerged regarding behaviors and acts constituting DV including 1) the exertion of control over a woman’s reproductive decision-making, mobility, socializing with family and friends, finances, and access to food and nutrition, 2) the widespread acceptance of sexual abuse and the influences of affluence on sexual DV manifestations, 3) the shaping of physical abuse experiences by readily-available tools and the presence of witnesses, 4) psychological abuse for infertility, dowry, and girl-children, and 5) the perpetration of DV by the husband and other members of his family. Findings support the need for a culturally-tailored operational definition that expands on the WHO surveillance definition to inform the development of more effective DV intervention strategies and measures.     

Density and habitat use of one of the last jaguar populations of the Brazilian Atlantic Forest: Is there still hope?

The jaguar (Panthera onca) plays an important role in maintaining biodiversity and ecological processes. We evaluated the status of a jaguar population in one of the last stronghold habitats for its conservation in the Atlantic Forest, the Rio Doce State Park (RDSP). We used a random survey design from 2016/17 to estimate jaguar abundance and density as well as its occupancy and detection probabilities in the entire Park''s area. To monitor for temporal fluctuations in density and abundance, we used a systematic survey design in the southern portion of the Park where jaguars were more recorded when using the random approach. We then conducted two surveys in 2017/18 and 2020. Our 2016/17 random survey revealed that jaguar density (0.11 ± SE 0.28 individuals/100 km²) was the lowest obtained for the species across the Atlantic Forest. We noticed that jaguar density increased three times from 2017/18 (0.55 ± SE 0.45 individuals/100 km²) to 2020 (1.61 ± SE 0.6 individuals/100 km²). Jaguar occupancy and detection probability were 0.40 and 0.08, respectively. The low jaguar occupancy probability was positively associated with smaller distances from lakes and records of potential prey. The detection probability was positively associated with prey detection, the rainy season, and smaller distances from lakes. Our work contributes to a growing awareness of the potential conservation value of a protected area in a human‐dominated landscape as one of the last strongholds for jaguars across the Atlantic Forest.     

Reintroduction of the European Capercaillie from the Capercaillie Breeding Centre in Wis?a Forest District: Genetic Assessments of Captive and Reintroduced Populations

The Western capercaillie (Tetrao urogallus) is a specific bird species, which, despite its very broad distribution and large global population size, is highly endangered in many Western and Central European countries. According to the species situation, in many countries (including Poland), breeding and reintroduction programmes have been started. One of the most complex and large-scale reintroduction programmes was started in Bory Dolnośląskie Forest, and the Capercaillie Breeding Centre in Wisła Forest District was used as one of the sources of individuals for reintroduction. As genetic tools provide essential knowledge about species biodiversity, which is crucially important during the breeding process and reintroduction, both captive and reintroduced grouse populations were genetically analysed. We were particularly interested in genetic diversity of the individuals in both populations and the genetic relationship between them, as well as between them and other capercaillie representatives from their current range. To fulfil these goals we determined nine microsatellite loci along with a fragment of the mitochondrial control region. Genetic diversity parameters were moderate to high compared to populations from other Central and Western European countries. Both populations were clustered into three distinct genetic clades based on microsatellites. Phylogenetic analysis placed all mitochondrial haplotypes we revealed in the Eurasian clade. The present results will play an important role as they will help to preserve and maximize genetic diversity in captive populations, and will provide a basis for future monitoring of the reintroduction process.     

How Can Inequalities in Mortality Be Reduced? A Quantitative Analysis of 6 Risk Factors in 21 European Populations

Background

Socioeconomic inequalities in mortality are one of the greatest challenges for health policy in all European countries, but the potential for reducing these inequalities is unclear. We therefore quantified the impact of equalizing the distribution of six risk factors for mortality: smoking, overweight, lack of physical exercise, lack of social participation, low income, and economic inactivity.

Methods

We collected and harmonized data on mortality and risk factors by educational level for 21 European populations in the early 2000s. The impact of the risk factors on mortality in each educational group was determined using Population Attributable Fractions. We estimated the impact on inequalities in mortality of two scenarios: a theoretical upward levelling scenario in which inequalities in the risk factor were completely eliminated, and a more realistic best practice scenario, in which inequalities in the risk factor were reduced to those seen in the country with the smallest inequalities for that risk factor.

Findings

In general, upward levelling of inequalities in smoking, low income and economic inactivity hold the greatest potential for reducing inequalities in mortality. While the importance of low income is similar across Europe, smoking is more important in the North and East, and overweight in the South. On the basis of best practice scenarios the potential for reducing inequalities in mortality is often smaller, but still substantial in many countries for smoking and physical inactivity.

Interpretation

Theoretically, there is a great potential for reducing inequalities in mortality in most European countries, for example by equity-oriented tobacco control policies, income redistribution and employment policies. Although it is necessary to achieve substantial degrees of upward levelling to make a notable difference for inequalities in mortality, the existence of best practice countries with more favourable distributions for some of these risk factors suggests that this is feasible.