Visualization of long-duration acoustic recordings of the environment

Acoustic recordings of the environment are an important aid to ecologists monitoring biodiversity and environmental health. However, rapid advances in recording technology, storage and computing make it possible to accumulate thousands of hours of recordings, of which, ecologists can only listen to a small fraction. The big-data challenge addressed in this paper is to visualize the content of long-duration audio recordings on multiple scales, from hours, days, months to years. The visualization should facilitate navigation and yield ecologically meaningful information. Our approach is to extract (at one minute resolution) acoustic indices which reflect content of ecological interest. An acoustic index is a statistic that summarizes some aspect of the distribution of acoustic energy in a recording. We combine indices to produce false-color images that reveal acoustic content and facilitate navigation through recordings that are months or even years in duration.

Modelling the effects of chorus species composition and caller density on acoustic masking interference in multispecies choruses of crickets and katydids

Natural multispecies acoustic choruses such as the dusk chorus of a tropical rain forest consist of simultaneously signalling individuals of different species whose calls travel through a common shared medium before reaching their `intended' receivers. This causes masking interference between signals and impedes signal detection, recognition and localization. The levels of acoustic overlap depend on a number of factors, including call structure, intensity, habitat-dependent signal attenuation and receiver tuning. In addition, acoustic overlaps should also depend on caller density and the species composition of choruses, including relative and absolute abundance of the different calling species. In this study, we used simulations to examine the effects of chorus species relative abundance and caller density on the levels of effective heterospecific acoustic overlap in multispecies choruses composed of the calls of five species of crickets and katydids that share the understorey of a rain forest in southern India. We found that on average species-even choruses resulted in higher levels of effective heterospecific acoustic overlap than choruses with strong dominance structures. This effect was found consistently across dominance levels ranging from 0.4 to 0.8 for larger choruses of forty individuals. For smaller choruses of twenty individuals, the effect was seen consistently for dominance levels of 0.6 and 0.8 but not 0.4. Effective acoustic overlap (EAO) increased with caller density but the manner and extent of increase depended both on the species' call structure and the acoustic context provided by the composition scenario. The Phaloria sp. experienced very low levels of EAO and was highly buffered to changes in acoustic context whereas other species experienced high FAO across contexts or were poorly buffered. These differences were not simply predictable from call structures. These simulation-based findings may have important implications for acoustic biodiversity monitoring and for the study of acoustic masking interference in natural environments. (C) 2013 Elsevier B.V. All rights reserved.

Going Global: planning the next 80 years of the Continuous Plankton Recorder Survey

Going Global: planning the next 80 years of the Continuous Plankton Recorder Survey. Operated by the Sir Alister Hardy Foundation for Ocean Science (SAHFOS), the Continuous Plankton Recorder (CPR) survey is the world’s largest, sampling 4 ocean basins, and longest running (since 1931) plankton biodiversity monitoring programme. Having sampled enough miles to circumnavigate the globe over 200 times, the CPR database houses over 2.5 million entries, describing the distribution of 500 phytoplankton and zooplankton taxa. Routinely sampling in the Arctic, Atlantic, Pacific and Southern Oceans, the survey analyses 4000 samples yearly. Data collected from these samples are made freely available for bona fide scientific purposes. The CPR survey data is used to generate a better understanding of changes in the plankton and to date some 1000 papers have been published on plankton biodiversity. This year sees the 80th anniversary of the CPR survey and to celebrate and build upon this unique monitoring programme, SAHFOS intends to further develop its global plankton perspective. Work will be extended into the South Atlantic and Indian Ocean and an international partnership with complementary surveys in Australia, Canada, America, Japan and South Africa will be implemented. The Digital Object will describe the CPR survey using compilations made by Plymouth Art College and BBC film footage.

Conceptual Ecological Modelling of Sublittoral Rock Habitats to Inform Indicator Selection

The purpose of this study is to produce a series of Conceptual Ecological Models (CEMs) that represent sublittoral rock habitats in the UK. CEMs are diagrammatic representations of the influences and processes that occur within an ecosystem. They can be used to identify critical aspects of an ecosystem that may be studied further, or serve as the basis for the selection of indicators for environmental monitoring purposes. The models produced by this project are control diagrams, representing the unimpacted state of the environment free from anthropogenic pressures. It is intended that the models produced by this project will be used to guide indicator selection for the monitoring of this habitat in UK waters. CEMs may eventually be produced for a range of habitat types defined under the UK Marine Biodiversity Monitoring R&D Programme (UKMBMP), which, along with stressor models, are designed to show the interactions within impacted habitats, would form the basis of a robust method for indicator selection. This project builds on the work to develop CEMs for shallow sublittoral coarse sediment habitats (Alexander et al 2014). The project scope included those habitats defined as ‘sublittoral rock’. This definition includes those habitats that fall into the EUNIS Level 3 classifications A3.1 Atlantic and Mediterranean high energy infralittoral rock, A3.2 Atlantic and Mediterranean moderate energy infralittoral rock, A3.3 Atlantic and Mediterranean low energy infralittoral rock, A4.1 Atlantic and Mediterranean high energy circalittoral rock, A4.2 Atlantic and Mediterranean moderate energy circalittoral rock, and A4.3 Atlantic and Mediterranean low energy circalittoral rock as well as the constituent Level 4 and 5 biotopes that are relevant to UK waters. A species list of characterising fauna to be included within the scope of the models was identified using an iterative process to refine the full list of species found within the relevant Level 5 biotopes. A literature review was conducted using a pragmatic and iterative approach to gather evidence regarding species traits and information that would be used to inform the models and characterise the interactions that occur within the sublittoral rock habitat. All information gathered during the literature review was entered into a data logging pro-forma spreadsheet that accompanies this report. Wherever possible, attempts were made to collect information from UK-specific peer-reviewed studies, although other sources were used where necessary. All data gathered was subject to a detailed confidence assessment. Expert judgement by the project team was utilised to provide information for aspects of the models for which references could not be sourced within the project timeframe. A multivariate analysis approach was adopted to assess ecologically similar groups (based on ecological and life history traits) of fauna from the identified species to form the basis of the models. A model hierarchy was developed based on these ecological groups. One general control model was produced that indicated the high-level drivers, inputs, biological assemblages, ecosystem processes and outputs that occur in sublittoral rock habitats. In addition to this, seven detailed sub-models were produced, which each focussed on a particular ecological group of fauna within the habitat: ‘macroalgae’, ‘temporarily or permanently attached active filter feeders’, ‘temporarily or permanently attached passive filter feeders’, ‘bivalves, brachiopods and other encrusting filter feeders’, ‘tube building fauna’, ‘scavengers and predatory fauna’, and ‘non-predatory mobile fauna’. Each sub-model is accompanied by an associated confidence model that presents confidence in the links between each model component. The models are split into seven levels and take spatial and temporal scale into account through their design, as well as magnitude and direction of influence. The seven levels include regional to global drivers, water column processes, local inputs/processes at the seabed, habitat and biological assemblage, output processes, local ecosystem functions, and regional to global ecosystem functions. The models indicate that whilst the high level drivers that affect each ecological group are largely similar, the output processes performed by the biota and the resulting ecosystem functions vary both in number and importance between groups. Confidence within the models as a whole is generally high, reflecting the level of information gathered during the literature review. Physical drivers which influence the ecosystem were found to be of high importance for the sublittoral rock habitat, with factors such as wave exposure, water depth and water currents noted to be crucial in defining the biological assemblages. Other important factors such as recruitment/propagule supply, and those which affect primary production, such as suspended sediments, light attenuation and water chemistry and temperature, were also noted to be key and act to influence the food sources consumed by the biological assemblages of the habitat, and the biological assemblages themselves. Output processes performed by the biological assemblages are variable between ecological groups depending on the specific flora and fauna present and the role they perform within the ecosystem. Of particular importance are the outputs performed by the macroalgae group, which are diverse in nature and exert influence over other ecological groups in the habitat. Important output processes from the habitat as a whole include primary and secondary production, bioengineering, biodeposition (in mixed sediment habitats) and the supply of propagules; these in turn influence ecosystem functions at the local scale such as nutrient and biogeochemical cycling, supply of food resources, sediment stability (in mixed sediment habitats), habitat provision and population and algae control. The export of biodiversity and organic matter, biodiversity enhancement and biotope stability are the resulting ecosystem functions that occur at the regional to global scale. Features within the models that are most useful for monitoring habitat status and change due to natural variation have been identified, as have those that may be useful for monitoring to identify anthropogenic causes of change within the ecosystem. Biological, physical and chemical features of the ecosystem have been identified as potential indicators to monitor natural variation, whereas biological factors and those physical /chemical factors most likely to affect primary production have predominantly been identified as most likely to indicate change due to anthropogenic pressures.

Assessing the sensitivity of subtidal sedimentary habitats to pressures associated with marine activities. Phase 1 Report: Rationale and proposed ecological groupings for Level 5 biotopes against which sensitivity assessments would be best undertaken.

The purpose of this study is to produce a series of Conceptual Ecological Models (CEMs) that represent sublittoral rock habitats in the UK. CEMs are diagrammatic representations of the influences and processes that occur within an ecosystem. They can be used to identify critical aspects of an ecosystem that may be studied further, or serve as the basis for the selection of indicators for environmental monitoring purposes. The models produced by this project are control diagrams, representing the unimpacted state of the environment free from anthropogenic pressures. It is intended that the models produced by this project will be used to guide indicator selection for the monitoring of this habitat in UK waters. CEMs may eventually be produced for a range of habitat types defined under the UK Marine Biodiversity Monitoring R&D Programme (UKMBMP), which, along with stressor models, are designed to show the interactions within impacted habitats, would form the basis of a robust method for indicator selection. This project builds on the work to develop CEMs for shallow sublittoral coarse sediment habitats (Alexander et al 2014). The project scope included those habitats defined as ‘sublittoral rock’. This definition includes those habitats that fall into the EUNIS Level 3 classifications A3.1 Atlantic and Mediterranean high energy infralittoral rock, A3.2 Atlantic and Mediterranean moderate energy infralittoral rock, A3.3 Atlantic and Mediterranean low energy infralittoral rock, A4.1 Atlantic and Mediterranean high energy circalittoral rock, A4.2 Atlantic and Mediterranean moderate energy circalittoral rock, and A4.3 Atlantic and Mediterranean low energy circalittoral rock as well as the constituent Level 4 and 5 biotopes that are relevant to UK waters. A species list of characterising fauna to be included within the scope of the models was identified using an iterative process to refine the full list of species found within the relevant Level 5 biotopes. A literature review was conducted using a pragmatic and iterative approach to gather evidence regarding species traits and information that would be used to inform the models and characterise the interactions that occur within the sublittoral rock habitat. All information gathered during the literature review was entered into a data logging pro-forma spreadsheet that accompanies this report. Wherever possible, attempts were made to collect information from UK-specific peer-reviewed studies, although other sources were used where necessary. All data gathered was subject to a detailed confidence assessment. Expert judgement by the project team was utilised to provide information for aspects of the models for which references could not be sourced within the project timeframe. A multivariate analysis approach was adopted to assess ecologically similar groups (based on ecological and life history traits) of fauna from the identified species to form the basis of the models. A model hierarchy was developed based on these ecological groups. One general control model was produced that indicated the high-level drivers, inputs, biological assemblages, ecosystem processes and outputs that occur in sublittoral rock habitats. In addition to this, seven detailed sub-models were produced, which each focussed on a particular ecological group of fauna within the habitat: ‘macroalgae’, ‘temporarily or permanently attached active filter feeders’, ‘temporarily or permanently attached passive filter feeders’, ‘bivalves, brachiopods and other encrusting filter feeders’, ‘tube building fauna’, ‘scavengers and predatory fauna’, and ‘non-predatory mobile fauna’. Each sub-model is accompanied by an associated confidence model that presents confidence in the links between each model component. The models are split into seven levels and take spatial and temporal scale into account through their design, as well as magnitude and direction of influence. The seven levels include regional to global drivers, water column processes, local inputs/processes at the seabed, habitat and biological assemblage, output processes, local ecosystem functions, and regional to global ecosystem functions. The models indicate that whilst the high level drivers that affect each ecological group are largely similar, the output processes performed by the biota and the resulting ecosystem functions vary both in number and importance between groups. Confidence within the models as a whole is generally high, reflecting the level of information gathered during the literature review. Physical drivers which influence the ecosystem were found to be of high importance for the sublittoral rock habitat, with factors such as wave exposure, water depth and water currents noted to be crucial in defining the biological assemblages. Other important factors such as recruitment/propagule supply, and those which affect primary production, such as suspended sediments, light attenuation and water chemistry and temperature, were also noted to be key and act to influence the food sources consumed by the biological assemblages of the habitat, and the biological assemblages themselves. Output processes performed by the biological assemblages are variable between ecological groups depending on the specific flora and fauna present and the role they perform within the ecosystem. Of particular importance are the outputs performed by the macroalgae group, which are diverse in nature and exert influence over other ecological groups in the habitat. Important output processes from the habitat as a whole include primary and secondary production, bioengineering, biodeposition (in mixed sediment habitats) and the supply of propagules; these in turn influence ecosystem functions at the local scale such as nutrient and biogeochemical cycling, supply of food resources, sediment stability (in mixed sediment habitats), habitat provision and population and algae control. The export of biodiversity and organic matter, biodiversity enhancement and biotope stability are the resulting ecosystem functions that occur at the regional to global scale. Features within the models that are most useful for monitoring habitat status and change due to natural variation have been identified, as have those that may be useful for monitoring to identify anthropogenic causes of change within the ecosystem. Biological, physical and chemical features of the ecosystem have been identified as potential indicators to monitor natural variation, whereas biological factors and those physical /chemical factors most likely to affect primary production have predominantly been identified as most likely to indicate change due to anthropogenic pressures.

Molecular- and pollen-based vegetation analysis in lake sediments from central Scandinavia

Plant and animal biodiversity can be studied by obtaining DNA directly from the environment. This new approach in combination with the use of generic barcoding primers (metabarcoding) has been suggested as complementary or alternative to traditional biodiversity monitoring in ancient soil sediments. However, the extent to which metabarcoding truly reflects plant composition remains unclear, as does its power to identify species with no pollen or macrofossil evidence. Here, we compared pollen-based and metabarcoding approaches to explore the Holocene plant composition around two lakes in central Scandinavia. At one site, we also compared barcoding results with those obtained in earlier studies with species-specific primers. The pollen analyses revealed a larger number of taxa (46), of which the majority (78%) was not identified by metabarcoding. The metabarcoding identified 14 taxa (MTUs), but allowed identification to a lower taxonomical level. The combined analyses identified 52 taxa. The barcoding primers may favour amplification of certain taxa, as they did not detect taxa previously identified with species-specific primers. Taphonomy and selectiveness of the primers are likely the major factors influencing these results. We conclude that metabarcoding from lake sediments provides a complementary, but not an alternative, tool to pollen analysis for investigating past flora. In the absence of other fossil evidence, metabarcoding gives a local and important signal from the vegetation, but the resulting assemblages show limited capacity to detect all taxa, regardless of their abundance around the lake. We suggest that metabarcoding is followed by pollen analysis and the use of species-specific primers to provide the most comprehensive signal from the environment. © 2013 Blackwell Publishing Ltd.

Predictive vegetation mapping in the Mediterranean context: Considerations and methodological issues

The need to map vegetation communities over large areas for nature conservation and to predict the impact of environmental change on vegetation distributions, has stimulated the development of techniques for predictive vegetation mapping. Predictive vegetation studies start with the development of a model relating vegetation units and mapped physical data, followed by the application of that model to a geographic database and over a wide range of spatial scales. This field is particularly important for identifying sites for rare and endangered species and locations of high biodiversity such as many areas of the Mediterranean Basin. The potential of the approach is illustrated with a mapping exercise in the alti-meditterranean zone of Lefka Ori in Crete. The study established the nature of the relationship between vegetation communities and physical data including altitude, slope and geomorphology. In this way the knowledge of community distribution was improved enabling a GIS-based model capable of predicting community distribution to be constructed. The paper describes the development of the spatial model and the methodological problems of predictive mapping for monitoring Mediterranean ecosystems. The paper concludes with a discussion of the role of predictive vegetation mapping and other spatial techniques, such as fuzzy mapping and geostatistics, for improving our understanding of the dynamics of Mediterranean ecosystems and for practical management in a region that is under increasing pressure from human impact.

Caracterização das assembléias de peixes de riachos de cabeceira no período chuvoso na bacia do rio Cachoeira (SE da Bahia, NE do Brasil)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

DNA barcoding taxonomy and diversity of the Mediterranean sharks and rays

Elasmobranchs are an important by-catch of commercial fisheries targeting bony fishes. Fisheries targeting sharks are rare, but usually almost all specimen bycatched are marketed. They risk extinction if current fishing pressure continues (Ferretti et al., 2008). Accurate species identification is critical for the design of sustainable fisheries and appropriate management plans, especially since not all species are equally sensitive to fishing pressure (Walker & Hislop 1998). The identification of species constitutes the first basic step for biodiversity monitoring and conservation (Dayrat B et al., 2005). More recently, mtDNA sequencing has also been used for species identification and its use has become widespread under the DNA Barcode initiative (e.g. Hebert et al. 2003a, 2003b; Ward et al. 2005, 2008a; Moura et al 2008; Steinke et al. 2009). The aims of this work were: 1) identify sharks and skates species using DNA barcode; 2) compare species of different provenance; 3) use DNA barcode for misidentified species. Using DNA barcode 15 species of sharks (Alopias vulpinus, Centrophorus granulosus, Cetorhinus maximus, Dalatias licha, Etmopterus spinax, Galeorhinus galeus, Galeus melastomus, Heptranchias perlo, Hexanchus griseus, Mustelus mustelus, Mustelus punctulatus, Oxynotus centrina, Scyliorhinus canicula Squalus acanthias, Squalus blainville), 1 species of chimaera (Chimaera monstrosa) and 21 species of rays/skayes (Dasyatis centroura, Dasyatis pastinaca, Dasyatis sp., Dipturus nidarosiensis, Dipturus oxyrinchus, Leucoraja circularis, Leucoraja melitensis, Myliobatis aquila, Pteromylaeus bovinus, Pteroplatytrygon violacea, Raja asterias, Raja brachyura, Raja clavata, Raja miraletus, Raja montagui, Raja radula, Raja polystigma, Raja undulata, Rostroraja alba, Torpedo marmorata, Torpedo nobiliana, Torpedo torpedo) was identified.

Heiltraditionen und Biodiversität: Die traditionelle Medizin der Baatombu Nordbenins

Im Zentrum der vorliegenden Untersuchung steht die Nutzung von Medizinalpflanzen vor dem Hintergrund einer zurückgehenden Phytodiversität in Nordbenin. Die Dissertation ba-siert auf ethnologischen Forschungen, die in das interdisziplinäre Forschungsprojekt BIOTA (Biodiversity Monitoring Transect Analysis in Africa) eingebunden sind. Das BIOTA-Projekt untersucht die Wirkung menschlichen Handelns (insbesondere Nutzung) auf die Biodiversi-tät und versucht aus diesen Erkenntnissen Maßnahmen zum Erhalt der biologischen Vielfalt abzuleiten. Die vorliegende Studie basiert auf einem 13-monatigen Feldforschungsaufenthalt im Zeitraum von April 2004 bis August 2006 in der nordbeninischen Gemeinde Ouassa-Pehunco. Meine Informanten sind überwiegend traditionelle Heiler, mit denen ich standardi-sierte und offene Interviews durchführte, deren Behandlungsverfahren und Heilzeremonien ich teilnehmend beobachtete sowie dokumentierte und auf deren Initiative hin ich mich bei dem Aufbau eines Medizinalpflanzengartens einbrachte (cf. Kap. 1). In diesem Forschungsfeld situiere ich mich mit der Frage nach dem Einfluss einer verän-derten Pflanzenvielfalt auf die traditionelle medizinische Versorgung der Baatombu Nordbe-nins. Die Beantwortung dieser Frage erfolgt in mehreren Schritten. 1. Die Phytodiversität nimmt, wie von naturwissenschaftlicher Seite bestätigt, in der Region ab. 2. Lokale Heilkun-dige nehmen diesen Rückgang an verfügbaren Heilpflanzen ebenso wahr. 3. Die Abnahme der Pflanzenbestände führen die Heiler vor allem auf den Baumwollanbau und die demogra-fischen Entwicklungen der Region zurück - dies entspricht ebenfalls den Auffassungen von Naturwissenschaftlern, die eine Verdichtung der landwirtschaftlichen Bodennutzung fest-stellten. 4. Heilkundige und Heilpflanzenverkäuferinnen vermerken eine zunehmende Nach-frage nach lokaler Pflanzenmedizin aufgrund der steigenden Bevölkerungszahlen. 5. Die pflanzenbasierte Gesundheitsversorgung der lokalen Bevölkerung ist jedoch relativ gesi-chert, da die Heiler sich alternativ wirkender Medizinalpflanzen bedienen, ihre Therapiefor-men der veränderten Lage anpassen (z.B. geringere Dosierungen) und sie regelmäßig genutz-te Pflanzen im Medizinalpflanzengarten Guson wieder anpflanzen. Ein wichtiger Aspekt der Arbeit ist, dass die Heilpraktiken der Baatombu nicht allein auf naturheilkundlichem Erfahrungswissen beruhen, sondern in magisch-religiöse Vorstellungen eingebettet sind (cf. Kap. 2). Demzufolge untersuche ich die lokalen Krankheits- und Ge-sundheitsvorstellungen und die symbolischen Klassifikationen von Heilpflanzen und Krank-heiten (cf. Kap. 3). Ich stellte fest, dass nach Auffassung von Heilkundigen soziokulturelle Faktoren wie der Zeitpunkt und der Ort einer Sammlung sowie entsprechende Ernte-Rituale die medizinische Wirksamkeit von Pflanzen maßgeblich bedingen (cf. Kap. 5). Die Umwelt-klassifikation der Heiler (Landschafts- und Vegetationstypen) richtet sich demzufolge nach dem medizinischen Wert, den sie einer Heilpflanze zuschreiben (cf. Kap.4). Basierend auf diesen Erkenntnissen wurde von einigen engagierten Heilern und mit Un-terstützung von BIOTA, der GTZ und der Deutschen Botschaft der Medizinalpflanzengarten Guson eingerichtet, der eine Antwort auf die regionale Ressourcenverknappung darstellt und in seiner Anlage dem lokalen ökologischen und heilkundlichen Wissen der Heiler entspricht (cf. Kap. 6). Den Anwendungsbezug der Forschung nutzten die Heiler, um sich als Interes-sensgemeinschaft für den Erhalt der benötigten pflanzlichen Ressourcen einzusetzen.

Modelo de gestión integral : observatorio ambiental y ordenamiento del territorio

La provincia de Río Negro, Argentina, firma con la Unión Europea un acuerdo de cooperación para la realización del diseño e implementación de un Observatorio del ecosistema litoral y monitoreo de la biodiversidad con miras a establecer las bases para un desarrollo sustentable de la costa atlántica rionegrina. Este proyecto fue elaborado por el Instituto CIFOT y fue desagregado en las siguientes áreas de trabajo: Modelo de Información Espacial, Indicadores ambientales y página web. Los productos finales se obtienen mediante el análisis de variables dentro de un sistema integrado de SIG y Percepción remota, lo que permite evaluar el patrimonio humano natural y productivo, así como las tendencias del comportamiento de ecosistema costero y marino para poder construir un modelo de gestión integral del territorio. Los resultados de cada área de trabajo se integran en el primer Observatorio Ambiental en Argentina, a través de un prototipo de funcionamiento sustentado en un modelo de gestión que contempla la interacción entre el gobierno, entidades educativas y ONGs. El Observatorio permite la toma de decisiones a partir de datos reales en tiempo y forma, como también es la base para la elaboración del plan de ordenamiento de área costera de Río Negro y de un plan de manejo litoral atlántico.

Modelo de organización de la información territorial : observatorio ambiental

La gestión del territorio no cuenta hasta el presente con una respuesta clara en cuanto a acciones a desarrollar para una concreta toma de decisiones. Para ello es necesario contar con información precisa y oportuna. Aquí los SIG se presentan como verdaderos sistemas de gestión en los que interactúan los componentes tecnológicos, organizacionales, metodológicos y estadísticos, que permiten elaborar planes de ordenamiento territorial y de manejo ambiental, monitorear la biodiversidad y construir indicadores ambientales. Su organización se basa en subsistemas tales como: • modelo de organización de la información espacial (que sustenta la plataforma SIG y de la Teledetección ), el que genera una base de datos relacional asociada a información contenida en el observatorio, representa cartográficamente los inicadores ambientales y el monitoreo de los mismos; • la metadata que incorpora las fuentes y datos vinculados a la documentación de datos geoespaciales digitales estandarizados y, por ultimo, • el modelo de monitoreo de la biodiversidad que conlleva a una serie de procesos tendientes especializar y analizar la dinámica presente en la cobertura vegetal a partir de imágenes del programa Landsat. El modelo involucra una integración de procesos apoyados en métodos científicos de teledetección y Sistemas de Información geográfica, permitiendo así el monitoreo para el diagnostico de estado actual de la cobertura marítima y terrestre, el análisis multitemporal, la espacialización y la transferencia de resultados. Un resultado directo de esta metodología es la detección de alertas tempranas.

Modelo de indicadores ambientales : observatorio ambiental

Los indicadores ambientales son una herramienta para efectuar el monitoreo de la biodiversidad a través de la recolección sistemática de datos obtenidos mediante mediciones u observaciones en series de tiempo y espacio. Se entiende por indicador ambiental a una variable o suma de variables que proporciona una información sintética sobre un fenómeno ambiental complejo que permite conocer y evaluar el estado y variación de la calidad ambiental. Para la caracterización y detección de indicadores ambientales del litoral de Río Negro se identifican y jerarquizan los conflictos o problemáticas del ambiente, a partir de lo cual se seleccionan las principales variables que componen el sistema de indicadores y por último, se recopilan los niveles de información existentes y los que requieren ser relevados e incorporados a bases de datos relacionales. Los requisitos que deben tener los indicadores seleccio nados son: ser medibles (cuali y cuantitativamente), compresibles, fáciles de usar e interrelacionar, tener dimensión espacial y temporal, ser objetivos sensibles a los cambios y permitir el diagnóstico y pronóstico en función de la detección de situaciones de alerta ambiental. Se realiza una aproximación a la selección de variables e indicadores con el fin de definir el modelo de datos y categorías de agrupamiento. El sistema de indicadores generados se agrupa en función de la disponibilidad de datos existentes y la posibilidad de recopilación para un correcto funcionamiento del prototipo del Observatorio. El modelo adoptado incorpora 3 subsistemas (ambiental, social y económico) interrelacionando con 3 nodos institucionales (que proveen y/o precisan estos datos para la toma de decisiones). Cada indicador se describe en una ficha metodológica, cuyo diseño es normalizado para un correcto funcionamiento del Observatorio. La implementación del modelo de indicadores exige contar con una infraestructura que permita la aplicación de mediciones, observaciones y registros y contar además, con personal idóneo para una correcta manipulación y análisis.