Planning and management of mobility in natural protected areas

The final purpose is the identification of: a) the effects of various choices in transport planning, both at long term and strategic level; b) the most effective policies of mobility management. The preliminary work was articulated in the following steps: 1) definition of protected area on the basis of ecological and socio-economic criteria and legislative constraints; 2) analysis of mobility needs in the protected areas; 3) reconstruction of the state of the art of mobility management in natural parks at European level; 4) analysis of used traffic flows measurement methods; 5) analysis of environmental impacts due to transport systems modelling (limited to air pollution and noise); 6) identification of mitigation measures to the potentially applied. The whole methodology has been firstly tested on the case study of the National Park of ?Gran Sasso and Monti della Laga? and further validated on the National Park of ?Gargano?, both located Italy: i) the concerned area has been zoned according to the land-use peculiarities; ii) the local situations of transport infrastructure (roads and parking), services (public transport systems) and rules (traffic regulations) have been mapped with references to physical and functional attributes; iii) the mobility, both systematic and touristic, has been synthetically represented in an origin-destination matrix. By means of an assignment model it has been determined the distribution of flows and the corresponding average speeds to quantify gaseous and noise emissions. On this basis the environmental criticalities in the reference scenario have been highlighted, as well as some alternative scenarios including both operational and infrastructural measures have been identified. The comparison between the projects and the reference scenario allowed the quantification of the effects (variation of emissions) for each scenario and a selection of the most effective management actions to be taken.

Spatially-Explicit Testing of a General Aboveground Carbon Density Estimation Model in aWestern Amazonian Forest Using Airborne LiDAR

Mapping aboveground carbon density in tropical forests can support CO2 emissionmonitoring and provide benefits for national resource management. Although LiDAR technology has been shown to be useful for assessing carbon density patterns, the accuracy and generality of calibrations of LiDAR-based aboveground carbon density (ACD) predictions with those obtained from field inventory techniques should be intensified in order to advance tropical forest carbon mapping. Here we present results from the application of a general ACD estimation model applied with small-footprint LiDAR data and field-based estimates of a 50-ha forest plot in Ecuador?s Yasuní National Park. Subplots used for calibration and validation of the general LiDAR equation were selected based on analysis of topographic position and spatial distribution of aboveground carbon stocks. The results showed that stratification of plot locations based on topography can improve the calibration and application of ACD estimation using airborne LiDAR (R2 = 0.94, RMSE = 5.81 Mg?C? ha?1, BIAS = 0.59). These results strongly suggest that a general LiDAR-based approach can be used for mapping aboveground carbon stocks in western lowland Amazonian forests.

LiDAR remote sensing applied to forest resources assessment

Disponer de información precisa y actualizada de inventario forestal es una pieza clave para mejorar la gestión forestal sostenible y para proponer y evaluar políticas de conservación de bosques que permitan la reducción de emisiones de carbono debidas a la deforestación y degradación forestal (REDD). En este sentido, la tecnología LiDAR ha demostrado ser una herramienta perfecta para caracterizar y estimar de forma continua y en áreas extensas la estructura del bosque y las principales variables de inventario forestal. Variables como la biomasa, el número de pies, el volumen de madera, la altura dominante, el diámetro o la altura media son estimadas con una calidad comparable a los inventarios tradicionales de campo. La presente tesis se centra en analizar la aplicación de los denominados métodos de masa de inventario forestal con datos LIDAR bajo diferentes condiciones y características de masa forestal (bosque templados puros y mixtos) y utilizando diferentes bases de datos LiDAR (información proveniente de vuelo nacionales e información capturada de forma específica). Como consecuencia de lo anterior, se profundiza en la generación de inventarios forestales continuos con LiDAR en grandes áreas. Los métodos de masa se basan en la búsqueda de relaciones estadísticas entre variables predictoras derivadas de la nube de puntos LiDAR y las variables de inventario forestal medidas en campo con el objeto de generar una cartografía continua de inventario forestal. El rápido desarrollo de esta tecnología en los últimos años ha llevado a muchos países a implantar programas nacionales de captura de información LiDAR aerotransportada. Estos vuelos nacionales no están pensados ni diseñados para fines forestales por lo que es necesaria la evaluación de la validez de esta información LiDAR para la descripción de la estructura del bosque y la medición de variables forestales. Esta información podría suponer una drástica reducción de costes en la generación de información continua de alta resolución de inventario forestal. En el capítulo 2 se evalúa la estimación de variables forestales a partir de la información LiDAR capturada en el marco del Plan Nacional de Ortofotografía Aérea (PNOA-LiDAR) en España. Para ello se compara un vuelo específico diseñado para inventario forestal con la información de la misma zona capturada dentro del PNOA-LiDAR. El caso de estudio muestra cómo el ángulo de escaneo, la pendiente y orientación del terreno afectan de forma estadísticamente significativa, aunque con pequeñas diferencias, a la estimación de biomasa y variables de estructura forestal derivadas del LiDAR. La cobertura de copas resultó más afectada por estos factores que los percentiles de alturas. Considerando toda la zona de estudio, la estimación de la biomasa con ambas bases de datos no presentó diferencias estadísticamente significativas. Las simulaciones realizadas muestran que las diferencias medias en la estimación de biomasa entre un vuelo específico y el vuelo nacional podrán superar el 4% en áreas abruptas, con ángulos de escaneo altos y cuando la pendiente de la ladera no esté orientada hacia la línea de escaneo. En el capítulo 3 se desarrolla un estudio en masas mixtas y puras de pino silvestre y haya, con un enfoque multi-fuente empleando toda la información disponible (vuelos LiDAR nacionales de baja densidad de puntos, imágenes satelitales Landsat y parcelas permanentes del inventario forestal nacional español). Se concluye que este enfoque multi-fuente es adecuado para realizar inventarios forestales continuos de alta resolución en grandes superficies. Los errores obtenidos en la fase de ajuste y de validación de los modelos de área basimétrica y volumen son similares a los registrados por otros autores (usando un vuelo específico y parcelas de campo específicas). Se observan errores mayores en la variable número de pies que los encontrados en la literatura, que pueden ser explicados por la influencia de la metodología de parcelas de radio variable en esta variable. En los capítulos 4 y 5 se evalúan los métodos de masa para estimar biomasa y densidad de carbono en bosques tropicales. Para ello se trabaja con datos del Parque Nacional Volcán Poás (Costa Rica) en dos situaciones diferentes: i) se dispone de una cobertura completa LiDAR del área de estudio (capitulo 4) y ii) la cobertura LiDAR completa no es técnica o económicamente posible y se combina una cobertura incompleta de LiDAR con imágenes Landsat e información auxiliar para la estimación de biomasa y carbono (capitulo 5). En el capítulo 4 se valida un modelo LiDAR general de estimación de biomasa aérea en bosques tropicales y se compara con los resultados obtenidos con un modelo ajustado de forma específica para el área de estudio. Ambos modelos están basados en la variable altura media de copas (TCH por sus siglas en inglés) derivada del modelo digital LiDAR de altura de la vegetación. Los resultados en el área de estudio muestran que el modelo general es una alternativa fiable al ajuste de modelos específicos y que la biomasa aérea puede ser estimada en una nueva zona midiendo en campo únicamente la variable área basimétrica (BA). Para mejorar la aplicación de esta metodología es necesario definir en futuros trabajos procedimientos adecuados de medición de la variable área basimétrica en campo (localización, tamaño y forma de las parcelas de campo). La relación entre la altura media de copas del LiDAR y el área basimétrica (Coeficiente de Stock) obtenida en el área de estudio varía localmente. Por tanto es necesario contar con más información de campo para caracterizar la variabilidad del Coeficiente de Stock entre zonas de vida y si estrategias como la estratificación pueden reducir los errores en la estimación de biomasa y carbono en bosques tropicales. En el capítulo 5 se concluye que la combinación de una muestra sistemática de información LiDAR con una cobertura completa de imagen satelital de moderada resolución (e información auxiliar) es una alternativa efectiva para la realización de inventarios continuos en bosques tropicales. Esta metodología permite estimar altura de la vegetación, biomasa y carbono en grandes zonas donde la captura de una cobertura completa de LiDAR y la realización de un gran volumen de trabajo de campo es económica o/y técnicamente inviable. Las alternativas examinadas para la predicción de biomasa a partir de imágenes Landsat muestran una ligera disminución del coeficiente de determinación y un pequeño aumento del RMSE cuando la cobertura de LiDAR es reducida de forma considerable. Los resultados indican que la altura de la vegetación, la biomasa y la densidad de carbono pueden ser estimadas en bosques tropicales de forma adecuada usando coberturas de LIDAR bajas (entre el 5% y el 20% del área de estudio). ABSTRACT The availability of accurate and updated forest data is essential for improving sustainable forest management, promoting forest conservation policies and reducing carbon emissions from deforestation and forest degradation (REDD). In this sense, LiDAR technology proves to be a clear-cut tool for characterizing forest structure in large areas and assessing main forest-stand variables. Forest variables such as biomass, stem volume, basal area, mean diameter, mean height, dominant height, and stem number can be thus predicted with better or comparable quality than with costly traditional field inventories. In this thesis, it is analysed the potential of LiDAR technology for the estimation of plot-level forest variables under a range of conditions (conifer & broadleaf temperate forests and tropical forests) and different LiDAR capture characteristics (nationwide LiDAR information vs. specific forest LiDAR data). This study evaluates the application of LiDAR-based plot-level methods in large areas. These methods are based on statistical relationships between predictor variables (derived from airborne data) and field-measured variables to generate wall to wall forest inventories. The fast development of this technology in recent years has led to an increasing availability of national LiDAR datasets, usually developed for multiple purposes throughout an expanding number of countries and regions. The evaluation of the validity of nationwide LiDAR databases (not designed specifically for forest purposes) is needed and presents a great opportunity for substantially reducing the costs of forest inventories. In chapter 2, the suitability of Spanish nationwide LiDAR flight (PNOA) to estimate forest variables is analyzed and compared to a specifically forest designed LiDAR flight. This study case shows that scan angle, terrain slope and aspect significantly affect the assessment of most of the LiDAR-derived forest variables and biomass estimation. Especially, the estimation of canopy cover is more affected than height percentiles. Considering the entire study area, biomass estimations from both databases do not show significant differences. Simulations show that differences in biomass could be larger (more than 4%) only in particular situations, such as steep areas when the slopes are non-oriented towards the scan lines and the scan angles are larger than 15º. In chapter 3, a multi-source approach is developed, integrating available databases such as nationwide LiDAR flights, Landsat imagery and permanent field plots from SNFI, with good resultos in the generation of wall to wall forest inventories. Volume and basal area errors are similar to those obtained by other authors (using specific LiDAR flights and field plots) for the same species. Errors in the estimation of stem number are larger than literature values as a consequence of the great influence that variable-radius plots, as used in SNFI, have on this variable. In chapters 4 and 5 wall to wall plot-level methodologies to estimate aboveground biomass and carbon density in tropical forest are evaluated. The study area is located in the Poas Volcano National Park (Costa Rica) and two different situations are analyzed: i) available complete LiDAR coverage (chapter 4) and ii) a complete LiDAR coverage is not available and wall to wall estimation is carried out combining LiDAR, Landsat and ancillary data (chapter 5). In chapter 4, a general aboveground biomass plot-level LiDAR model for tropical forest (Asner & Mascaro, 2014) is validated and a specific model for the study area is fitted. Both LiDAR plot-level models are based on the top-of-canopy height (TCH) variable that is derived from the LiDAR digital canopy model. Results show that the pantropical plot-level LiDAR methodology is a reliable alternative to the development of specific models for tropical forests and thus, aboveground biomass in a new study area could be estimated by only measuring basal area (BA). Applying this methodology, the definition of precise BA field measurement procedures (e.g. location, size and shape of the field plots) is decisive to achieve reliable results in future studies. The relation between BA and TCH (Stocking Coefficient) obtained in our study area in Costa Rica varied locally. Therefore, more field work is needed for assessing Stocking Coefficient variations between different life zones and the influence of the stratification of the study areas in tropical forests on the reduction of uncertainty. In chapter 5, the combination of systematic LiDAR information sampling and full coverage Landsat imagery (and ancillary data) prove to be an effective alternative for forest inventories in tropical areas. This methodology allows estimating wall to wall vegetation height, biomass and carbon density in large areas where full LiDAR coverage and traditional field work are technically and/or economically unfeasible. Carbon density prediction using Landsat imaginery shows a slight decrease in the determination coefficient and an increase in RMSE when harshly decreasing LiDAR coverage area. Results indicate that feasible estimates of vegetation height, biomass and carbon density can be accomplished using low LiDAR coverage areas (between 5% and 20% of the total area) in tropical locations.

Geografía del carbono en alta resolución en bosque tropical amazónico del Ecuador mediante sensores aerotransportados

La estimación de la biomasa de la vegetación terrestre en bosque tropical no sólo es un área de investigación en rápida expansión, sino también es un tema de gran interés para reducir las emisiones de carbono asociadas a la deforestación y la degradación forestal (REDD+). Las estimaciones de densidad de carbono sobre el suelo (ACD) en base a inventarios de campo y datos provenientes de sensores aerotransportados, en especial con sensores LiDAR, han conducido a un progreso sustancial en el cartografiado a gran escala de las reservas de carbono forestal. Sin embargo, estos mapas de carbono tienen incertidumbres considerables, asociadas generalmente al proceso de calibración del modelo de regresión utilizado para producir los mapas. En esta tesis se establece una metodología para la calibración y validación de un modelo general de estimación de ACD usando LiDAR en un sector del Parque Nacional Yasuní en Ecuador. En el proceso de calibración del modelo se considera el tamaño y la ubicación de las parcelas, la influencia de la topografía y la distribución espacial de la biomasa. Para el análisis de los datos se utilizan técnicas geoestadísticas en combinación con variables geomorfométricas derivadas de datos LiDAR, y se propone un esquema de muestreo estratificado por posiciones topográficas (valle, ladera y cima). La validación del modelo general para toda la zona de estudio presentó valores de RMSE = 5.81 Mg C ha-1, R2 = 0.94 y sesgo = 0.59, mientras que, al considerar las posiciones topográficas, el modelo presentó valores de RMSE = 1.67 Mg C ha-1, R2 = 0.98 y sesgo = 0.23 para el valle; RMSE = 3.13 Mg C ha-1, R2 = 0.98 y sesgo = - 0.34 para la ladera; y RMSE = 2.33 Mg C ha-1, R2 = 0.97 y sesgo = 0.74 para la cima. Los resultados obtenidos demuestran que la metodología de muestreo estratificado por posiciones topográficas propuesto, permite calibrar de manera efectiva el modelo general con las estimaciones de ACD en campo, logrando reducir el RMSE y el sesgo. Los resultados muestran el potencial de los datos LiDAR para caracterizar la estructura vertical de la vegetación en un bosque altamente diverso, permitiendo realizar estimaciones precisas de ACD, y conocer patrones espaciales continuos de la distribución de la biomasa aérea y del contenido de carbono en la zona de estudio. ABSTRACT Estimating biomass of terrestrial vegetation in tropical forest is not only a rapidly expanding research area, but also a subject of tremendous interest for reducing carbon emissions associated with deforestation and forest degradation (REDD+). The aboveground carbon density estimates (ACD) based on field inventories and airborne sensors, especially LiDAR sensors have led to a substantial progress in large-scale mapping of forest carbon stocks. However, these carbon maps have considerable uncertainties generally associated with the calibration of the regression model used to produce these maps. This thesis establishes a methodology for calibrating and validating a general ACD estimation model using LiDAR in Ecuador´s Yasuní National Park. The size and location of the plots are considered in the model calibration phase as well as the influence of topography and spatial distribution of biomass. Geostatistical analysis techniques are used in combination with geomorphometrics variables derived from LiDAR data, and then a stratified sampling scheme considering topographic positions (valley, slope and ridge) is proposed. The validation of the general model for the study area showed values of RMSE = 5.81 Mg C ha-1, R2 = 0.94 and bias = 0.59, while considering the topographical positions, the model showed values of RMSE = 1.67 Mg C ha-1, R2 = 0.98 and bias = 0.23 for the valley; RMSE = 3.13 Mg C ha-1, R2 = 0.98 and bias = - 0.34 for the slope; and RMSE = 2.33 Mg C ha-1, R2 = 0.97 and bias = 0.74 for the ridge. The results show that the stratified sampling methodology taking into account topographic positions, effectively calibrates the general model with field estimates of ACD, reducing RMSE and bias. The results show the potential of LiDAR data to characterize the vertical structure of vegetation in a highly diverse forest, allowing accurate estimates of ACD, and knowing continuous spatial patterns of biomass distribution and carbon stocks in the study area.

Crecimiento forestal en el bosque tropical de montaña: efectos de la diversidad florística y de la manipulación de nutrientes

El bosque tropical de montaña, es considerado zona de mega diversidad y de alto grado de endemismo, por las diferentes zonas ecológicas que presenta. Durante las últimas décadas estos bosques han recibido mayor atención por parte de investigadores, sin embargo, aún existe poca investigación en determinar cuáles son las respuestas de los bosques a los cambios ambientales a los que son sometidos. Estos bosques están sufriendo serias amenazas como pérdida de cobertura vegetal y cambios en los ciclos de nutrientes. El trabajo se dividió en cuatro objetivos específicos. i) Caracterización y análisis de patrones altitudinales de la riqueza de especies en el bosque tropical de montaña en el sur del Ecuador; con el fin de conocer cómo varía la diversidad de especies riqueza lo largo de un gradiente altitudinal. ii) Conocer los patrones espaciales del crecimiento en tres remanentes boscosos de un bosque tropical de montaña para determinar cómo la vecindad y la semejanza funcional de ésta influyen en el crecimiento forestal. iii) Conocer los efectos de la fertilización en el crecimiento diamétrico de especies arbóreas, en el bosque tropical de montaña; se analizó cómo reaccionan los árboles a la adición de nutrientes N y P en tres tipos de bosque. iv) Saber la respuesta de la comunidad de árboles a la adición de nutrientes en el bosque montano andino; este objetivo se basó con el supuesto de la deficiencia de tres tipos de nutrientes N, P y Ca, en esta formación boscosa y cómo reaccionan los árboles a la adición de nutrientes. El presente trabajo se llevó a cabo, en el bosque tropical de montaña que se encuentra localizada en la parte adyacente del Parque Nacional Podocarpus (PNP) en la cordillera del Consuelo, forma parte de la cadena oriental de los Andes del sur del Ecuador El trabajo de desarrollo entre los años 2008 y 2014. Para abordar el primer objetivo se establecieron 54 parcelas ubicadas aleatoriamente a lo largo de un gradiente altitudinal (3 niveles de altitud) y se e midieron e identificaron todos los individuos mayores a 5cm de DAP. Se construyó una filogenia con Phylocom y se calcularon diferentes componentes de diversidad para cada parcela ( riqueza taxonómica, diversidad filogenética y edad media de las especies). Ajustando modelos lineares se contrastó el efecto de la altitud sobre dichos componentes y se vio que la riqueza taxonómica y la edad media de las especies aumentaron con la altitud, en sentido contrario a las predicciones de la "hipótesis del conservadurismo tropical" (Tropical Conservatism Hypothesis). Para abordar el segundo objetivo se realizó una remedición de todos los árboles cartografiados en tres parcelas permanentes de alrededor de 5000 m2 cada una, representativas de tres estados diferentes de la sucesión del bosque montano. A partir de las coordenadas y de los datos de registrados, y empleando diferentes funciones de correlación de marca se analizó la distribución espacial del tamaño y del crecimiento relativo y del tamaño. Se constató que mientras que el tamaño de los árboles presentó una correlación espacial negativa, el crecimiento presentó correlación espacial positiva, en ambos casos a distancias cortas. El rango y la magnitud de ambas correlaciones aumentaron al avanzar la sucesión. La distribución espacial del crecimiento mostró una correlación negativa con la distribución espacial de tamaños. Por otro lado, la distribución espacial del crecimiento mostró una correlación negativa para árboles semejantes funcionalmente y positiva cuando se calculó entre árboles con diferente estrategia funcional. En conjunto, los resultados obtenidos señalan un aumento de la importancia de procesos competitivos y una mayor estructuración espacial del crecimiento y de la distribución de tamaños al avanzar la sucesión. Para el tercer y cuarto objetivo se instalaron 52 parcelas distribuidas en bloques donde se fertilizaron dos veces al año durante 6,4 años, se identificaron todos los individuos mayores a 10 cm de DAP, y se midió el crecimiento diamétrico durante estos años Con la adición de nutrientes realizada a los diferentes tipos de bosque en la gradiente altitudinal, encontramos que el efecto sobre el crecimiento diamétrico en la comunidad varia con el rango altitudinal, y el tipo de nutriente, analizando a nivel de las especies, en la mayoría de los casos las especies comunes no tuvieron cambios significativos a la adición de nutrientes. Los resultados de este estudio aportan nuevas evidencias para el entendimiento de la diversidad, estructura y dinámica de los bosques tropicales de montaña. ABSTRACT The montane tropical forest is considered a megadiverse habitat that harbor an enormous degree of endemism. This is mainly due to the high degree of environmental heterogeneity found and the presence of different well defined ecological areas. These forests have received more attention during the last decades, however, the information regarding the responses of these forests to environmental change, is still scarce. These forests are seriously endangered and are suffering serious threats, such as loss of vegetative cover, changes in the nutrient cycles. The work was divided in four specific objectives: i) Characterization and analysis of the species richness altitudinal patterns in the montane tropical forest of south Ecuador. Specifically, how species diversity changes along altitudinal gradients. ii) Exploring the spatial patterns of tree growth in three remnants of a montane tropical forest, and analyze how tree neighborhood and functional similarity among trees influence tree growth. Tropical Conservatism Hypothesis iii) Understanding the effects of fertilization in arboreal species growth (increase in diameter) of the montane tropical forest. Specifically we studied the effects of P and N addition on three different forests across an altitudinal gradient. iv) Know the response of the community of trees to the addition of nutrients in the Andean montane forest; this objective was based on the supposition of deficiency of three types of nutrients: P, N and Ca in this forest all formation and how the trees react to the addition of these nutrients. The present work was carried out in the montane tropical forest located in Bombuscaro, San Francisco and Cajanuma close to Podocarpus National Park (PNP) on Consuelo mountain range (Andean oriental range) at South of Ecuador. Field work was carried out during 2008 and 2014. To address the first objective, we randomly placed 54 plots along an altitudinal gradient. In these plots, every individual larger than 5 cm of DBH was measured and identified. A phylogeny was build with Phylocom and different diversity components (taxonomic richness, phylogenetic diversity and average species age) were computed for each plot. Linear models were used to test the effects of altitude on the diversity components. Our results showed that, contrary to the Tropical Conservatism Hypothesis, both taxonomic richness and average species age increased with altitude. To address our second objective, all mapped trees in three successional permanent plots (around ~5000 m2 each) were re-measured. Using different mark correlation functions, we analyzed the spatial distribution of tree-size and tree relative growth rate. Whereas tree size showed negative spatial correlation at fine spatial scales, relative growth rate showed positive correlation at the same scales. The range and magnitude of those correlations increased along successional stage. The spatial distribution of the relative growth rate was negatively correlated with the spatial distribution of tree sizes. Additionally, we found that the spatial correlation of the relative growth rate was negative for functionally similar trees and positive when computed for functionally different trees. In synthesis, our results point to an increase of competitive processes and strong spatial structure of relative growth rate and tree size along succession. For the third and fourth objectives, 52 plots were placed in a block design and were fertilized twice a year for 6,4 years. In these plots all the individuals with DBH > 10 cm were identified, and the diametrical growth was measured during these years. The nutrient addition at the three different altitude forests, revealed that the effect on the diametrical growth in the community varied with the altitudinal range. When analyzed at species level, the addition of nutrients was no significant in most cases. These results represent new evidences that will improved our understanding of diversity patterns and structure, and the dynamics of tropical montane forests.

Lipid biomarkers in the Enol Lake (Asturias, Northern Spain): coupled natural and human induced environmental history

The lipid content of three cores from Lake Enol (Picos de Europa National Park, Asturias, Northern Spain) was studied. The n-alkane profiles indicated a major input from terrigenous plants [predominance of high molecular weight (HMW) alkanes] since ca. 1695 AD to the water body, although the uppermost cm revealed a predominance of organic matter (OM) derived from algae, as the most abundant alkane was C17. Three units revealing different environmental conditions were defined. Unit A (ca. 1695–1860 AD) in the lowermost parts of ENO13-10 (< 12 cm) and ENO13-15 (< 28 cm) was identified and was characterized by higher OM input and evidence of minimal degradation (high CPI values, predominance of HMW n-alkanoic acids and good correspondence between the predominant n-alkane and n-alkanoic acid chains). These findings could be linked to the Little Ice Age, when cold and humid conditions may have favored an increase in total organic carbon (TOC) and n-alkane and n-alkanoic acid content (greater terrigenous OM in-wash), and may have also reduced bacterial activity. In Unit B (ca. 1860–1980 AD) the lack of correspondence between the n-alkane and n-alkanoic acid profiles of ENO13-10 (12–4 cm) and ENO13-15 (28–8 cm) suggested a certain preferential microbial synthesis of long chain saturated fatty acids from primary OM and/or bacterial activity, coinciding with a decrease in OM input, which could be linked to the global warming that started in the second half of the 19th century. In ENO13-7 the low OM input (low TOC) was accompanied by some bacterial degradation (predominance ofHMWn-alkanoic acids but with a bimodal distribution) in the lowermost 16–5 cm. Evidence of considerable phytoplankton productivity and microbial activity was especially significant in Unit C (ca. 1980–2013 AD) identified in the uppermost part of all three cores (5 cm in ENO13-7, 4 cm in ENO13-10 and 8 cm in ENO13-15), coinciding with higher concentrations of n-alkanes and n-alkanoic acids, which were considered to be linked to warmer and drier conditions, as well as to greater anthropogenic influence in modern times. Plant sterols, such as b-sitosterol, campesterol and stigmasterol, were significantly present in the cores. In addition, fecal stanols, such as 24-ethylcoprostanol from herbivores, were present, thereby indicating a continuous and significant pollution input derived from these animals since the 17th century, being more important in the last 20 years.

The compensatory potential of increased immigration following intensive American mink population control is diluted by male-biased dispersal

Acknowledgments This research was funded by NERC Grants NE/J01396X/1; NE/E006434/1 to XL. Y. M. was funded by a Marie Curie FP7-PEOPLE-2011-IEF 300288. We profusely thank the Scottish Mink Initiative, staff, funders and multiple mink volunteers for the continued effort, samples and enthusiasm. The Scottish Water Vole Conservation Project was funded by The Tubney Charitable trust, Scottish Natural Heritage, the Cairngorms National Park Authority and the People’s Trust for Endangered Species. We also thank the Associate Editor and two anonymous referees for their thoughtful reviews.

Extreme clonal uniformity of Phoxinus eos/neogaeus gynogens (pisces: Cyprinidae) among variable habitats in northern Minnesota beaver ponds.

Genetic surveys of parthenogenetic vertebrate populations have demonstrated a common pattern of relatively high degrees of clonal variation and the coexistence of numerous clones. In striking contrast, the Phoxinus eos/Phoxinus neogaeus/hybrid gynogen complex of cyprinid fishes exhibits no clonal variation within a northern Minnesota drainage characterized by successional beaver ponds. Gynogens were sampled from three habitats in each of four different pond types in a single drainage in Voyageurs National Park, Minnesota. The abundance of gynogens relative to sexual dace varied with pond type, being least common in deep upland ponds and most common in shallow, collapsed, lowland ponds (13.4% and 48.6%, respectively). Simple-sequence multilocus DNA fingerprinting of 464 individual gynogens detected one, and only one, clone. DNA fingerprints, generated sequentially by using three oligonucleotide probes, (CAC)5, (GACA)4, and the Jeffreys' 33.15 probe, all revealed the same unprecedented lack of variation. The extreme lack of clonal diversity in these gynogens across a range of habitat types does not fit the general pattern of high clonal diversity found within populations of other vertebrate parthenogens.

Explaining the saproxylic beetle diversity of a protected Mediterranean area

Saproxylic beetle diversity is high at the Cabañeros National Park (central Spain), where woodland habitats exhibit remarkable heterogeneity. Our aim was to explain the diversity of saproxylic beetles, focusing on species turnover among mature woodland types. We surveyed five woodland types that represented the heterogeneity of the park’s woodland habitats. Beetles were collected using window traps over a period of 20 months. The Jaccard Similarity Index was used as indirect value of beta diversity among woodlands and to test the relation between species turnover and geographical distance. We also identified the contribution of species turnover to landscape diversity by using a partitioning model. Moreover, the presence of mixed woodlands (more than one tree species) allowed us to attempt to valorise the effect of tree species (coupled with their historical management) on species turnover among woodlands. Finally, we looked for different saproxylic beetle preferences for habitat and tree species using an indicator value method. We found that saproxylic beetle species composition varied significantly among the studied woodlands. The variation in species turnover was independent from the distance among woodlands, which suggested that beetle dispersal abilities could not explain this high turnover. Tree species within woodlands were a key factor that increased diversity turnover in woodlands and, consequently, the diversity of the park. Moreover, we found saproxylic beetle species that had different habitat and tree species preferences. We conclude that woodland heterogeneity (highly affected by woodland composition) seems to be the driving force for saproxylic beetle diversity in this protected area.

Influence of tree hollow characteristics on the diversity of saproxylic insect guilds in Iberian Mediterranean woodlands

Saproxylic diversity assessment is a major goal for conservation strategies in woodlands and it should consider woodland composition and configuration at site and tree level as key modelling factors. However, in Mediterranean woodlands little is known about the relation with the environmental factors that structure their assemblages, especially those linked to tree hollow microhabitats. We assessed the diversity of Syrphidae (Diptera) and Coleoptera saproxylic guilds that co-occurred in tree hollows located in three different Iberian Mediterranean woodlands in the Cabañeros National Park (Spain). Furthermore, we evaluated how differences in tree hollow microenvironmental variables (understood as the physical and biotic characteristics of a hollow and tree individual) influenced saproxylic guild diversity both within and among woodland sites. We found that woodland sites that provided greater heterogeneity of trees and hollow microhabitats determined higher saproxylic guild diversity. Nevertheless, certain species or even complete guilds can be favoured in woodlands where some hollow microhabitats predominate as a consequence of historical tree management. In general, hollow volume was the main determining factor for saproxylic guild richness and abundance in woodland sites, and large hollow volume was usually related to higher diversity, which highlighted the importance of multi-habitat hollow trees. Moreover, saproxylic guilds also responded to other different microenvironmental variables, which indicated different ecological preferences among guilds. The conservation of saproxylic insects in Iberian Mediterranean areas must be addressed to protect woodland sites that provide high diversity and large numbers of tree hollow microhabitats, and practices to enhance microhabitat heterogeneity should even be encouraged.

Jugar a extinguir ensambles: importancia de las oquedades de los árboles para la biodiversidad de insectos saproxílicos

The assessment of the relation between species diversity, species interactions and stability is a major goal for conservation strategies of saproxylic insects in Iberian Mediterranean woodlands. In these woodlands, tree hollows in standing living trees are key microhabitats for saproxylic biodiversity. We assess the variation in the tree hollow-saproxylic insect network among three woodland sites in the Cabañeros National Park (Spain), and evaluate their implications for saproxylic assemblages’ persistence, through simulations of three possible scenarios of loss of tree hollow microhabitats. The composition of tree hollows is closely related to biotic and ecological complexity of saproxylic networks, and together exhibit positive effects on network stability. By other side, different scenarios entail different reorganizations of saproxylic diversity of species and interactions, and the variation of the main interacting attributes. Woodlands providing higher proportion of large tree hollows are less sensitive to microhabitat loss. Conservation strategies for saproxylic insects in Iberian Mediterranean woodlands should consider woodland composition and configuration as key factors in the selection of priority conservation areas.

Uso do zoneamento ambiental do Médio Rio Grande como instrumento de gestão no município de Delfinópolis-MG

Este trabalho faz parte do Projeto Grande Minas - União Pelas Águas, que realizou o Zoneamento Ambiental das Sub-Bacias Hidrográficas dos Afluentes Mineiros do Médio Rio Grande. O zoneamento foi concluído em 2013 e produziu importantes informações sobre os meios físico, biótico e socioeconômico dos 22 municípios que compõem a bacia hidrográfica, dentre eles o local de estudo, que é o município de Delfinópolis - MG. Dentre os instrumentos que podem contribuir para o desenvolvimento sustentável, o município pode utilizar, além do zoneamento ambiental, o plano diretor municipal e o plano de manejo do Parque Nacional da Serra da Canastra, uma vez que esta unidade de conservação insere-se no município. Torna-se importante, entretanto, a integração destes três importantes instrumentos de gestão para que o planejamento municipal e as ações de política pública possam ser realizados de forma consistente. Este trabalho vem contribuir na avaliação e integração destas informações (Plano Diretor Municipal, Plano de Manejo, Zoneamento Ambiental) e os resultados deverão contribuir com os administradores públicos na tomada de decisões e na resolução dos problemas enfrentados na região, como exemplo as queimadas, o uso inadequado dos recursos hídricos, as atividades modificadoras do meio físico. A sistemática metodológica adotada envolveu a avaliação de dados existentes e a construção de um banco de dados digital do município; análise dos instrumentos legais de planejamento e gestão municipal e elaboração de produtos cartográficos interpretativos de fácil leitura e entendimento que possam ser utilizados diretamente pelos gestores públicos. A análise e avaliação dos dados existentes permitiu diagnosticar algumas características peculiares ao município, como a sua vocação para o turismo, com mais de 40 atrativos ligados ao ecoturismo; o grande número de minerações de areia e cascalho, grande parte delas não regularizada; e os conflitos locais existentes diante das atividades da economia rural e a necessidade de preservação impostas pela unidade de conservação.

Pseudo-organic structures from the Precambrian Bass limestone in Arizona / [by] Matthew H. Nitecki --

v.23:no.1(1971)

Boston 2000: harbor nodes, modes & links

Shows transportation network in and around the harbor.

Philadelphia, Pennsylvania, Camden, New Jersey and vicinity, 1921 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Map of Philadelphia, Camden and vicinity : compiled from city plans & personal surveys, engraved by Albert Volk. It was published by Elvino V. Smith in 1921. Scale 1:35,000. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Pennsylvania South State Plane Coordinate System NAD83 (in Feet) (Fipszone 3702). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, county, township, and city ward boundaries, parks, cemeteries, and more. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.