A vulnerability analysis of the temperate forests of south central Chile A vulnerability analysis of the temperate forests of south central Chile. Biological Conservation, 122 2005: 9-21.

Areas of the landscape that are priorities for conservation should be those that are both vulnerable to threatening processes and that if lost or degraded, will result in conservation targets being compromised. While much attention is directed towards understanding the patterns of biodiversity, much less is given to determining the areas of the landscape most vulnerable to threats. We assessed the relative vulnerability of remaining areas of native forest to conversion to plantations in the ecologically significant temperate rainforest region of south central Chile. The area of the study region is 4.2 million ha and the extent of plantations is approximately 200000 ha. First, the spatial distribution of native forest conversion to plantations was determined. The variables related to the spatial distribution of this threatening process were identified through the development of a classification tree and the generation of a multivariate. spatially explicit, statistical model. The model of native forest conversion explained 43% of the deviance and the discrimination ability of the model was high. Predictions were made of where native forest conversion is likely to occur in the future. Due to patterns of climate, topography, soils and proximity to infrastructure and towns, remaining forest areas differ in their relative risk of being converted to plantations. Another factor that may increase the vulnerability of remaining native forest in a subset of the study region is the proposed construction of a highway. We found that 90% of the area of existing plantations within this region is within 2.5 km of roads. When the predictions of native forest conversion were recalculated accounting for the construction of this highway, it was found that: approximately 27000 ha of native forest had an increased probability of conversion. The areas of native forest identified to be vulnerable to conversion are outside of the existing reserve network. (C) 2004 Elsevier Ltd. All tights reserved.

A new method for conservation planning for the persistence of multiple species

Although the aim of conservation planning is the persistence of biodiversity, current methods trade-off ecological realism at a species level in favour of including multiple species and landscape features. For conservation planning to be relevant, the impact of landscape configuration on population processes and the viability of species needs to be considered. We present a novel method for selecting reserve systems that maximize persistence across multiple species, subject to a conservation budget. We use a spatially explicit metapopulation model to estimate extinction risk, a function of the ecology of the species and the amount, quality and configuration of habitat. We compare our new method with more traditional, area-based reserve selection methods, using a ten-species case study, and find that the expected loss of species is reduced 20-fold. Unlike previous methods, we avoid designating arbitrary weightings between reserve size and configuration; rather, our method is based on population processes and is grounded in ecological theory.

Modelling predicts positive and negative interactions between three Australian tropical tree species in monoculture and binary mixture

Computer modelling promises to. be an important tool for analysing and predicting interactions between trees within mixed species forest plantations. This study explored the use of an individual-based mechanistic model as a predictive tool for designing mixed species plantations of Australian tropical trees. The 'spatially explicit individually based-forest simulator' (SeXI-FS) modelling system was used to describe the spatial interaction of individual tree crowns within a binary mixed-species experiment. The three-dimensional model was developed and verified with field data from three forest tree species grown in tropical Australia. The model predicted the interactions within monocultures and binary mixtures of Flindersia brayleyana, Eucalyptus pellita and Elaeocarpus grandis, accounting for an average of 42% of the growth variation exhibited by species in different treatments. The model requires only structural dimensions and shade tolerance as species parameters. By modelling interactions in existing tree mixtures, the model predicted both increases and reductions in the growth of mixtures (up to +/- 50% of stem volume at 7 years) compared to monocultures. This modelling approach may be useful for designing mixed tree plantations. (c) 2006 Published by Elsevier B.V.

Low spatial frequencies are suppressively masked across spatial scale, orientation, field position, and eye of origin

Masking is said to occur when a mask stimulus interferes with the visibility of a target (test) stimulus. One widely held view of this process supposes interactions between mask and test mechanisms (cross-channel masking), and explicit models (e.g., J. M. Foley, 1994) have proposed that the interactions are inhibitory. Unlike a within-channel model, where masking involves the combination of mask and test stimulus within a single mechanism, this cross-channel inhibitory model predicts that the mask should attenuate the perceived contrast of a test stimulus. Another possibility is that masking is due to an increase in noise, in which case, perception of contrast should be unaffected once the signal exceeds detection threshold. We use circular patches and annuli of sine-wave grating in contrast detection and contrast matching experiments to test these hypotheses and investigate interactions across spatial frequency, orientation, field position, and eye of origin. In both types of experiments we found substantial effects of masking that can occur over a factor of 3 in spatial frequency, 45° in orientation, across different field positions and between different eyes. We found the effects to be greatest at the lowest test spatial frequency we used (0.46 c/deg), and when the mask and test differed in all four dimensions simultaneously. This is surprising in light of previous work where it was concluded that suppression from the surround was strictly monocular (C. Chubb, G. Sperling, & J. A. Solomon, 1989). The results confirm that above detection threshold, cross-channel masking involves contrast suppression and not (purely) mask-induced noise. We conclude that cross-channel masking can be a powerful phenomenon, particularly at low test spatial frequencies and when mask and test are presented to different eyes. © 2004 ARVO.

Testing the assertion that 'local food is best':the challenges of an evidence-based approach

Advocates of ‘local food’ claim it serves to reduce food miles and greenhouse gas emissions, improve food safety and quality, strengthen local economies and enhance social capital. We critically review the philosophical and scientific rationale for this assertion, and consider whether conventional scientific approaches can help resolve the debate. We conclude that food miles are a poor indicator of the environmental and ethical impacts of food production. Only through combining spatially explicit life cycle assessment with analysis of social issues can the benefits of local food be assessed. This type of analysis is currently lacking for nearly all food chains.

Life history trade-offs and community dynamics of small fishes in a seasonally pulsed wetland

We used a one-dimensional, spatially explicit model to simulate the community of small fishes in the freshwater wetlands of southern Florida, USA. The seasonality of rainfall in these wetlands causes annual fluctuations in the amount of flooded area. We modeled fish populations that differed from each other only in efficiency of resource utilization and dispersal ability. The simulations showed that these trade-offs, along with the spatial and temporal variability of the environment, allow coexistence of several species competing exploitatively for a common resource type. This mechanism, while sharing some characteristics with other mechanisms proposed for coexistence of competing species, is novel in detail. Simulated fish densities resembled patterns observed in Everglades empirical data. Cells with hydroperiods less than 6 months accumulated negligible fish biomass. One unique model result was that, when multiple species coexisted, it was possible for one of the coexisting species to have both lower local resource utilization efficiency and lower dispersal ability than one of the other species. This counterintuitive result is a consequence of stronger effects of other competitors on the superior species.

Simulating Mechanisms for Dispersal, Production and Stranding of Small Forage Fish in Temporary Wetland Habitats

Movement strategies of small forage fish (<8 cm total length) between temporary and permanent wetland habitats affect their overall population growth and biomass concentrations, i.e., availability to predators. These fish are often the key energy link between primary producers and top predators, such as wading birds, which require high concentrations of stranded fish in accessible depths. Expansion and contraction of seasonal wetlands induce a sequential alternation between rapid biomass growth and concentration, creating the conditions for local stranding of small fish as they move in response to varying water levels. To better understand how landscape topography, hydrology, and fish behavior interact to create high densities of stranded fish, we first simulated population dynamics of small fish, within a dynamic food web, with different traits for movement strategy and growth rate, across an artificial, spatially explicit, heterogeneous, two-dimensional marsh slough landscape, using hydrologic variability as the driver for movement. Model output showed that fish with the highest tendency to invade newly flooded marsh areas built up the largest populations over long time periods with stable hydrologic patterns. A higher probability to become stranded had negative effects on long-term population size, and offset the contribution of that species to stranded biomass. The model was next applied to the topography of a 10 km × 10 km area of Everglades landscape. The details of the topography were highly important in channeling fish movements and creating spatiotemporal patterns of fish movement and stranding. This output provides data that can be compared in the future with observed locations of fish biomass concentrations, or such surrogates as phosphorus ‘hotspots’ in the marsh.

Treeline dynamics in Siberia under changing climates as inferred from an individual-based model for Larix, supplementary material

Siberian boreal forests are expected to expand northwards in the course of global warming. However, processes of the treeline ecotone transition, as well astiming and related climate feedbacks are still not understood. Here, we present 'Larix Vegetation Simulator' LAVESI, an individual-based spatially-explicit model that can simulate Larix gmelinii (RUPR.) RUPR. stand dynamics in an attempt to improve our understanding about past and future treeline movements under changing climates. The relevant processes (growth, seed production and dispersal, establishment and mortality) are incorporated and adjusted to observation data mainly gained from the literature. Results of a local sensitivity analysis support the robustness of the model's parameterization by giving relatively small sensitivity values. We tested the model by simulating tree stands under modern climate across the whole Taymyr Peninsula, north-central Siberia (c. 64-80° N; 92-119° E). We find tree densities similar to observed forests in the northern to mid-treeline areas, but densities are overestimated in the southern parts of the simulated region. Finally, from a temperature-forcing experiment, we detect that the responses of tree stands lag the hypothetical warming by several decades, until the end of 21st century. With our simulation experiments we demonstrate that the newly-developed model captures the dynamics of the Siberian latitudinal treeline.

Passive Acoustics: A Multifaceted Tool for Marine Mammal Conservation

Marine mammals exploit the efficiency of sound propagation in the marine environment for essential activities like communication and navigation. For this reason, passive acoustics has particularly high potential for marine mammal studies, especially those aimed at population management and conservation. Despite the rapid realization of this potential through a growing number of studies, much crucial information remains unknown or poorly understood. This research attempts to address two key knowledge gaps, using the well-studied bottlenose dolphin (Tursiops truncatus) as a model species, and underwater acoustic recordings collected on four fixed autonomous sensors deployed at multiple locations in Sarasota Bay, Florida, between September 2012 and August 2013. Underwater noise can hinder dolphin communication. The ability of these animals to overcome this obstacle was examined using recorded noise and dolphin whistles. I found that bottlenose dolphins are able to compensate for increased noise in their environment using a wide range of strategies employed in a singular fashion or in various combinations, depending on the frequency content of the noise, noise source, and time of day. These strategies include modifying whistle frequency characteristics, increasing whistle duration, and increasing whistle redundancy. Recordings were also used to evaluate the performance of six recently developed passive acoustic abundance estimation methods, by comparing their results to the true abundance of animals, obtained via a census conducted within the same area and time period. The methods employed were broadly divided into two categories – those involving direct counts of animals, and those involving counts of cues (signature whistles). The animal-based methods were traditional capture-recapture, spatially explicit capture-recapture (SECR), and an approach that blends the “snapshot” method and mark-recapture distance sampling, referred to here as (SMRDS). The cue-based methods were conventional distance sampling (CDS), an acoustic modeling approach involving the use of the passive sonar equation, and SECR. In the latter approach, detection probability was modelled as a function of sound transmission loss, rather than the Euclidean distance typically used. Of these methods, while SMRDS produced the most accurate estimate, SECR demonstrated the greatest potential for broad applicability to other species and locations, with minimal to no auxiliary data, such as distance from sound source to detector(s), which is often difficult to obtain. This was especially true when this method was compared to traditional capture-recapture results, which greatly underestimated abundance, despite attempts to account for major unmodelled heterogeneity. Furthermore, the incorporation of non-Euclidean distance significantly improved model accuracy. The acoustic modelling approach performed similarly to CDS, but both methods also strongly underestimated abundance. In particular, CDS proved to be inefficient. This approach requires at least 3 sensors for localization at a single point. It was also difficult to obtain accurate distances, and the sample size was greatly reduced by the failure to detect some whistles on all three recorders. As a result, this approach is not recommended for marine mammal abundance estimation when few recorders are available, or in high sound attenuation environments with relatively low sample sizes. It is hoped that these results lead to more informed management decisions, and therefore, more effective species conservation.

Las representaciones construidas por estudiantes universitarios acerca del modelo científico de membrana citoplasmática. Diagnóstico y relevancia en el proceso de enseñanza aprendizaje

Aprender ciencia requiere aprender modelos y reconstruirlos en el aula. Los docentes que enseñan ciencia utilizan habitualmente en sus clases modelos científicos, los cuales constituyen una forma de representar la realidad. Se les atribuye a los modelos diferentes funciones: representar estructuras y fenómenos, ayudar en la visualización de entidades abstractas o microscópicas, asistir en la interpretación de resultados experimentales, entre otras. Los modelos científicos requieren un elevado nivel de abstracción, esto hace que muchas veces el alumnado encuentre dificultad en la comprensión e interpretación de los mismos. El presente trabajo se propone caracterizar las representaciones construidas por alumnos universitarios de la carrera de Psicología sobre el modelo de membrana citoplasmática y analizar su utilidad en las clases de Biología y su relevancia en el proceso de enseñanza aprendizaje. Para este fin se utilizó como instrumento una encuesta, elaborada ad hoc, que fue procesada a través de una estrategia metodológica mixta, estableciendo categorías. A partir del análisis del modelo explícito de la membrana citoplasmática expresado por los alumnos en las respuestas, se pondrán de manifiesto las características de los modelos mentales elaborados por ellos. De los resultados se desprende que aquellas investigaciones que se propongan interpretar la manera en que las personas construyen sus representaciones sobre determinados fenómenos, aportarán a la didáctica de las ciencias para mejorar el aprendizaje de los estudiantes; por otro lado se concluye que la analogía del modelo de membrana como mosaico fluido resulta poco significativa para los alumnos, que a menudo incorporan estos conceptos memorísticamente, representando un modelo que no es completamente científico. El trabajo con imágenes exige la mediación didáctica; resulta por eso necesario que los docentes comprendan que el razonamiento basado en modelos es una habilidad altamente deseable, pero requiere extenso entrenamiento y práctica dentro del ámbito áulico

Las representaciones construidas por estudiantes universitarios acerca del modelo científico de membrana citoplasmática. Diagnóstico y relevancia en el proceso de enseñanza aprendizaje

Aprender ciencia requiere aprender modelos y reconstruirlos en el aula. Los docentes que enseñan ciencia utilizan habitualmente en sus clases modelos científicos, los cuales constituyen una forma de representar la realidad. Se les atribuye a los modelos diferentes funciones: representar estructuras y fenómenos, ayudar en la visualización de entidades abstractas o microscópicas, asistir en la interpretación de resultados experimentales, entre otras. Los modelos científicos requieren un elevado nivel de abstracción, esto hace que muchas veces el alumnado encuentre dificultad en la comprensión e interpretación de los mismos. El presente trabajo se propone caracterizar las representaciones construidas por alumnos universitarios de la carrera de Psicología sobre el modelo de membrana citoplasmática y analizar su utilidad en las clases de Biología y su relevancia en el proceso de enseñanza aprendizaje. Para este fin se utilizó como instrumento una encuesta, elaborada ad hoc, que fue procesada a través de una estrategia metodológica mixta, estableciendo categorías. A partir del análisis del modelo explícito de la membrana citoplasmática expresado por los alumnos en las respuestas, se pondrán de manifiesto las características de los modelos mentales elaborados por ellos. De los resultados se desprende que aquellas investigaciones que se propongan interpretar la manera en que las personas construyen sus representaciones sobre determinados fenómenos, aportarán a la didáctica de las ciencias para mejorar el aprendizaje de los estudiantes; por otro lado se concluye que la analogía del modelo de membrana como mosaico fluido resulta poco significativa para los alumnos, que a menudo incorporan estos conceptos memorísticamente, representando un modelo que no es completamente científico. El trabajo con imágenes exige la mediación didáctica; resulta por eso necesario que los docentes comprendan que el razonamiento basado en modelos es una habilidad altamente deseable, pero requiere extenso entrenamiento y práctica dentro del ámbito áulico

Las representaciones construidas por estudiantes universitarios acerca del modelo científico de membrana citoplasmática. Diagnóstico y relevancia en el proceso de enseñanza aprendizaje

Aprender ciencia requiere aprender modelos y reconstruirlos en el aula. Los docentes que enseñan ciencia utilizan habitualmente en sus clases modelos científicos, los cuales constituyen una forma de representar la realidad. Se les atribuye a los modelos diferentes funciones: representar estructuras y fenómenos, ayudar en la visualización de entidades abstractas o microscópicas, asistir en la interpretación de resultados experimentales, entre otras. Los modelos científicos requieren un elevado nivel de abstracción, esto hace que muchas veces el alumnado encuentre dificultad en la comprensión e interpretación de los mismos. El presente trabajo se propone caracterizar las representaciones construidas por alumnos universitarios de la carrera de Psicología sobre el modelo de membrana citoplasmática y analizar su utilidad en las clases de Biología y su relevancia en el proceso de enseñanza aprendizaje. Para este fin se utilizó como instrumento una encuesta, elaborada ad hoc, que fue procesada a través de una estrategia metodológica mixta, estableciendo categorías. A partir del análisis del modelo explícito de la membrana citoplasmática expresado por los alumnos en las respuestas, se pondrán de manifiesto las características de los modelos mentales elaborados por ellos. De los resultados se desprende que aquellas investigaciones que se propongan interpretar la manera en que las personas construyen sus representaciones sobre determinados fenómenos, aportarán a la didáctica de las ciencias para mejorar el aprendizaje de los estudiantes; por otro lado se concluye que la analogía del modelo de membrana como mosaico fluido resulta poco significativa para los alumnos, que a menudo incorporan estos conceptos memorísticamente, representando un modelo que no es completamente científico. El trabajo con imágenes exige la mediación didáctica; resulta por eso necesario que los docentes comprendan que el razonamiento basado en modelos es una habilidad altamente deseable, pero requiere extenso entrenamiento y práctica dentro del ámbito áulico

La enseñanza de las construcciones pasivas e impersonales con "se" en español como L2. ¿Cuántas distinciones son necesarias?

Este artículo sugiere un enfoque nuevo a la enseñanza de las dos estructuras gramaticales la pasiva refleja y el “se” impersonal para las clases universitarias de E/LE. Concretamente, se argumenta que las dos se deberían tratar como construcciones pasivas, basada en un análisis léxico-funcional de ellas que enfoca la lingüística contrastiva. Incluso para la instrucción de E/LE, se recomienda una aproximación contrastiva en la que se enfocan tanto la reflexión metalingüística como la competencia del estudiante en el L2. Específicamente, el uso de córpora lingüísticos en la clase forma una parte integral de la instrucción. El uso de un corpus estimula la curiosidad del estudiante, le expone a material de lengua auténtica, y promulga la reflexión inductiva independiente.

The Accuracy and Reliability of Traditional Surface Flow Type Mapping: Is It Time for A New Method of Characterising Physical River Habitat?

Surface flow types (SFT) are advocated as ecologically relevant hydraulic units, often mapped visually from the bankside to characterise rapidly the physical habitat of rivers. SFT mapping is simple, non-invasive and cost-efficient. However, it is also qualitative, subjective and plagued by difficulties in recording accurately the spatial extent of SFT units. Quantitative validation of the underlying physical habitat parameters is often lacking, and does not consistently differentiate between SFTs. Here, we investigate explicitly the accuracy, reliability and statistical separability of traditionally mapped SFTs as indicators of physical habitat, using independent, hydraulic and topographic data collected during three surveys of a c. 50m reach of the River Arrow, Warwickshire, England. We also explore the potential of a novel remote sensing approach, comprising a small unmanned aerial system (sUAS) and Structure-from-Motion photogrammetry (SfM), as an alternative method of physical habitat characterisation. Our key findings indicate that SFT mapping accuracy is highly variable, with overall mapping accuracy not exceeding 74%. Results from analysis of similarity (ANOSIM) tests found that strong differences did not exist between all SFT pairs. This leads us to question the suitability of SFTs for characterising physical habitat for river science and management applications. In contrast, the sUAS-SfM approach provided high resolution, spatially continuous, spatially explicit, quantitative measurements of water depth and point cloud roughness at the microscale (spatial scales ≤1m). Such data are acquired rapidly, inexpensively, and provide new opportunities for examining the heterogeneity of physical habitat over a range of spatial and temporal scales. Whilst continued refinement of the sUAS-SfM approach is required, we propose that this method offers an opportunity to move away from broad, mesoscale classifications of physical habitat (spatial scales 10-100m), and towards continuous, quantitative measurements of the continuum of hydraulic and geomorphic conditions which actually exists at the microscale.

From local scenarios to national maps: a participatory framework for envisioning the future of Tanzania

Tackling societal and environmental challenges requires new approaches that connect top-down global oversight with bottom-up subnational knowledge. We present a novel framework for participatory development of spatially explicit scenarios at national scale that model socioeconomic and environmental dynamics by reconciling local stakeholder perspectives and national spatial data. We illustrate results generated by this approach and evaluate its potential to contribute to a greater understanding of the relationship between development pathways and sustainability. Using the lens of land use and land cover changes, and engaging 240 stakeholders representing subnational (seven forest management zones) and the national level, we applied the framework to assess alternative development strategies in the Tanzania mainland to the year 2025, under either a business as usual or a green development scenario. In the business as usual scenario, no productivity gain is expected, cultivated land expands by ~ 2% per year (up to 88,808 km²), with large impacts on woodlands and wetlands. Despite legal protection, encroachment of natural forest occurs along reserve borders. Additional wood demand leads to degradation, i.e., loss of tree cover and biomass, up to 80,426 km² of wooded land. The alternative green economy scenario envisages decreasing degradation and deforestation with increasing productivity (+10%) and implementation of payment for ecosystem service schemes. In this scenario, cropland expands by 44,132 km² and the additional degradation is limited to 35,778 km². This scenario development framework captures perspectives and knowledge across a diverse range of stakeholders and regions. Although further effort is required to extend its applicability, improve users’ equity, and reduce costs the resulting spatial outputs can be used to inform national level planning and policy implementation associated with sustainable development, especially the REDD+ climate mitigation strategy.