El surgimiento de las organizaciones estatales de control ambiental en el Ecuador (1930‐1960)

Este trabajo pretende documentar los cambios en la organización y las políticas estatales respecto al ambiente a mediados del siglo XX. Para ello nos hemos concentrado en la revisión de los informes ministeriales entre 1925 y 1960, que es la época en que nacen silenciosamente las organizaciones e instituciones ambientales antes de la eclosión pública de discursos y preocupaciones ecológicas entre los años 1960 y 1990. En efecto, en 1959 se creó el Parque Nacional Galápagos, con la decisiva influencia de científicos naturalistas del mundo. Puede considerarse ese año como el inicio de una nueva etapa que incluirá la aprobación de la Ley de Prevención de la Contaminación (1976), el nacimiento de Fundación Natura (1978), la creación de la mayor parte de las áreas protegidas del país (1979), y la Ley Forestal y de Vida Silvestre (1981). El moderno enfoque ambiental del Estado surgió en ese período inmediatamente posterior. Al situarnos en el período anterior a la plena formalización de las políticas públicas ambientales, buscamos mostrar distintas vertientes y corrientes que confluirán en el proceso de “institucionalización” de las preocupaciones por la protección ambiental en el Estado ecuatoriano hacia los años 1950. El interés que guía esta indagación preliminar es el de mostrar el proceso de formación de los mecanismos de “gobierno” del patrimonio natural del país, es decir, los medios e instrumentos que sirven para regular tanto el acceso como el uso de dicho patrimonio para fines humanos. Tanto en políticas públicas como en ciencias sociales, se detecta un creciente interés en la consideración de los sistemas de “gobernanza” del patrimonio ambiental aunque el término es todavía objeto de muchas controversias y se usa para indicar combinaciones variables de mecanismos de participación social, presencia empresarial y regulación estatal.4 Por nuestra parte, este artículo se concentra en la formación de las organizaciones estatales encargadas de llevar a cabo la vigilancia, el control y la regulación de acceso y uso al patrimonio ambiental del país. La hipótesis general de la que partimos es que a partir de las primeras décadas del siglo XX se han ido desarrollando paulatinamente mecanismos que progresivamente desplazan una parte del control de los medios de manejo del patrimonio ambiental del país desde una serie de actores privados y comunitarios hacia el Estado. Aunque la parte del control ambiental que se desplaza es pequeña, no es en modo alguno desdeñable.

La importancia y el rol de la valoración económica de los servicios ambientales para la toma de decisiones en el contexto de las negociaciones de cambio climático: estudio de caso; valoración económica de servicios ambientales de fijación de carbono en los bosques de la parroquia San Francisco de Borja, Napo-Ecuador

Los ecosistemas forestales cumplen un importante rol en la supervivencia de la especie humana, en la satisfacción de sus necesidades básicas y en el mejoramiento de la calidad de vida. Sin embargo, pese a sus grandes bondades, estos están siendo amenazados. Debido a ello, la Convención Marco de las Naciones Unidas sobre el Cambio Climático, ha establecido tomar medidas urgentes para prevenir interferencias antropogénicas peligrosas, con énfasis en el cuidado de los bosques. Es así que se ha llevado a cabo una serie de programas y proyectos para su conservación. Sin embargo, se ha establecido también la necesidad de contar con herramientas apropiadas que permitan generar información sobre el verdadero estado de los recursos forestales y las necesidades de financiamiento para su protección. En ese sentido, la valoración económica ha logrado un gran avance conceptual, metodológico y político en el Marco de esta Convención. Es así que este trabajo de investigación tiene como finalidad demostrar la importancia y el rol de la valoración económica de bienes y servicios ambientales en el contexto de las negociaciones de cambio climático; constituyendo un elemento clave a ser incorporado en las propuestas que el país fomenta ante dicha Convención. Esta investigación contempla un estudio de caso práctico: Valoración Económica de Servicios Ambientales de Fijación de Carbono en los Bosques de la Parroquia San Francisco de Borja, siendo esta parroquia, uno de los sitios que mayor deterioro ambiental presenta dentro de la zona de amortiguamiento norte de la Reserva de Biósfera Sumaco; el mismo que pudiese ser solucionado de cierta forma, si se lograse un desarrollo económico bien planificado. Dicho estudio pretende demostrar que la valoración económica es una herramienta útil para optimizar el manejo de información, que permita tomar decisiones en los procesos de negociaciones de cambio climático. Asimismo, se demuestra que la valoración económica coadyuvaría al fortalecimiento de la planificación local y regional; sirviendo como una guía que permita a los planificadores y decisores la toma de decisiones.

Variables associated with nest survival of Golden-winged Warblers (Vermivora chrysoptera) among vegetation communities commonly used for nesting

Among shrubland- and young forest-nesting bird species in North America, Golden-winged Warblers (Vermivora chrysoptera) are one of the most rapidly declining partly because of limited nesting habitat. Creation and management of high quality vegetation communities used for nesting are needed to reduce declines. Thus, we examined whether common characteristics could be managed across much of the Golden-winged Warbler’s breeding range to increase daily survival rate (DSR) of nests. We monitored 388 nests on 62 sites throughout Minnesota, Wisconsin, New York, North Carolina, Pennsylvania, Tennessee, and West Virginia. We evaluated competing DSR models in spatial-temporal (dominant vegetation type, population segment, state, and year), intraseasonal (nest stage and time-within-season), and vegetation model suites. The best-supported DSR models among the three model suites suggested potential associations between daily survival rate of nests and state, time-within-season, percent grass and Rubus cover within 1 m of the nest, and distance to later successional forest edge. Overall, grass cover (negative association with DSR above 50%) and Rubus cover (DSR lowest at about 30%) within 1 m of the nest and distance to later successional forest edge (negative association with DSR) may represent common management targets across our states for increasing Golden-winged Warbler DSR, particularly in the Appalachian Mountains population segment. Context-specific adjustments to management strategies, such as in wetlands or areas of overlap with Blue-winged Warblers (Vermivora cyanoptera), may be necessary to increase DSR for Golden-winged Warblers.

Estimating the spatial scales of regionalized variables by nested sampling, hierarchical analysis of variance and residual maximum likelihood

The variogram is essential for local estimation and mapping of any variable by kriging. The variogram itself must usually be estimated from sample data. The sampling density is a compromise between precision and cost, but it must be sufficiently dense to encompass the principal spatial sources of variance. A nested, multi-stage, sampling with separating distances increasing in geometric progression from stage to stage will do that. The data may then be analyzed by a hierarchical analysis of variance to estimate the components of variance for every stage, and hence lag. By accumulating the components starting from the shortest lag one obtains a rough variogram for modest effort. For balanced designs the analysis of variance is optimal; for unbalanced ones, however, these estimators are not necessarily the best, and the analysis by residual maximum likelihood (REML) will usually be preferable. The paper summarizes the underlying theory and illustrates its application with data from three surveys, one in which the design had four stages and was balanced and two implemented with unbalanced designs to economize when there were more stages. A Fortran program is available for the analysis of variance, and code for the REML analysis is listed in the paper. (c) 2005 Elsevier Ltd. All rights reserved.

Estimating the spatial scales of regionalized variables by nested sampling, hierarchical analysis of variance and residual maximum likelihood

The variogram is essential for local estimation and mapping of any variable by kriging. The variogram itself must usually be estimated from sample data. The sampling density is a compromise between precision and cost, but it must be sufficiently dense to encompass the principal spatial sources of variance. A nested, multi-stage, sampling with separating distances increasing in geometric progression from stage to stage will do that. The data may then be analyzed by a hierarchical analysis of variance to estimate the components of variance for every stage, and hence lag. By accumulating the components starting from the shortest lag one obtains a rough variogram for modest effort. For balanced designs the analysis of variance is optimal; for unbalanced ones, however, these estimators are not necessarily the best, and the analysis by residual maximum likelihood (REML) will usually be preferable. The paper summarizes the underlying theory and illustrates its application with data from three surveys, one in which the design had four stages and was balanced and two implemented with unbalanced designs to economize when there were more stages. A Fortran program is available for the analysis of variance, and code for the REML analysis is listed in the paper. (c) 2005 Elsevier Ltd. All rights reserved.

The Namib Sand Sea digital database of aeolian dunes and key forcing variables

A new digital atlas of the geomorphology of the Namib Sand Sea in southern Africa has been developed. This atlas incorporates a number of databases including a digital elevation model (ASTER and SRTM) and other remote sensing databases that cover climate (ERA-40) and vegetation (PAL and GIMMS). A map of dune types in the Namib Sand Sea has been derived from Landsat and CNES/SPOT imagery. The atlas also includes a collation of geochronometric dates, largely derived from luminescence techniques, and a bibliographic survey of the research literature on the geomorphology of the Namib dune system. Together these databases provide valuable information that can be used as a starting point for tackling important questions about the development of the Namib and other sand seas in the past, present and future.

Correlations of control variables in variational data assimilation

Variational data assimilation systems for numerical weather prediction rely on a transformation of model variables to a set of control variables that are assumed to be uncorrelated. Most implementations of this transformation are based on the assumption that the balanced part of the flow can be represented by the vorticity. However, this assumption is likely to break down in dynamical regimes characterized by low Burger number. It has recently been proposed that a variable transformation based on potential vorticity should lead to control variables that are uncorrelated over a wider range of regimes. In this paper we test the assumption that a transform based on vorticity and one based on potential vorticity produce an uncorrelated set of control variables. Using a shallow-water model we calculate the correlations between the transformed variables in the different methods. We show that the control variables resulting from a vorticity-based transformation may retain large correlations in some dynamical regimes, whereas a potential vorticity based transformation successfully produces a set of uncorrelated control variables. Calculations of spatial correlations show that the benefit of the potential vorticity transformation is linked to its ability to capture more accurately the balanced component of the flow.

The role of the log transformation in forecasting economic variables

For forecasting and economic analysis many variables are used in logarithms (logs). In time series analysis, this transformation is often considered to stabilize the variance of a series. We investigate under which conditions taking logs is beneficial for forecasting. Forecasts based on the original series are compared to forecasts based on logs. For a range of economic variables, substantial forecasting improvements from taking logs are found if the log transformation actually stabilizes the variance of the underlying series. Using logs can be damaging for the forecast precision if a stable variance is not achieved.

Incorporation of water vapour transfer in the JULES Land Surface Model: implications for key soil variables and land surface fluxes

This study focuses on the mechanisms underlying water and heat transfer in upper soil layers, and their effects on soil physical prognostic variables and the individual components of the energy balance. The skill of the JULES (Joint UK Land Environment Simulator) land surface model (LSM) to simulate key soil variables, such as soil moisture content and surface temperature, and fluxes such as evaporation, is investigated. The Richards equation for soil water transfer, as used in most LSMs, was updated by incorporating isothermal and thermal water vapour transfer. The model was tested for three sites representative of semi-arid and temperate arid climates: the Jornada site (New Mexico, USA), Griffith site (Australia) and Audubon site (Arizona, USA). Water vapour flux was found to contribute significantly to the water and heat transfer in the upper soil layers. This was mainly due to isothermal vapour diffusion; thermal vapour flux also played a role at the Jornada site just after rainfall events. Inclusion of water vapour flux had an effect on the diurnal evolution of evaporation, soil moisture content and surface temperature. The incorporation of additional processes, such as water vapour flux among others, into LSMs may improve the coupling between the upper soil layers and the atmosphere, which in turn could increase the reliability of weather and climate predictions.