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.

Impacts of global change on iberian forest ecosystems inferred from the spanish national forest inventory = Impactos del cambio global en ecosistemas forestales ibéricos a partir del inventario forestal nacional

Los efectos del cambio global sobre los bosques son una de las grandes preocupaciones de la sociedad del siglo XXI. Algunas de sus posibles consecuencias como son los efectos en la producción, la sostenibilidad, la pérdida de biodiversidad o cambios en la distribución y ensamblaje de especies forestales pueden tener grandes repercusiones sociales, ecológicas y económicas. La detección y seguimiento de estos efectos constituyen uno de los retos a los que se enfrentan en la actualidad científicos y gestores forestales. En base a la comparación de series históricas del Inventario Forestal Nacional Español (IFN), esta tesis trata de arrojar luz sobre algunos de los impactos que los cambios socioeconómicos y ambientales de las últimas décadas han generado sobre nuestros bosques. En primer lugar, esta tesis presenta una innovadora metodología con base geoestadística que permite la comparación de diferentes ciclos de inventario sin importar los diferentes métodos de muestreo empleados en cada uno de ellos (Capítulo 3). Esta metodología permite analizar cambios en la dinámica y distribución espacial de especies forestales en diferentes gradientes geográficos. Mediante su aplicación, se constatarán y cuantificarán algunas de las primeras evidencias de cambio en la distribución altitudinal y latitudinal de diferentes especies forestales ibéricas, que junto al estudio de su dinámica poblacional y tasas demográficas, ayudarán a testar algunas hipótesis biogeográficas en un escenario de cambio global en zonas de especial vulnerabilidad (Capítulos 3, 4 y 5). Por último, mediante la comparación de ciclos de parcelas permanentes del IFN se ahondará en el conocimiento de la evolución en las últimas décadas de especies invasoras en los ecosistemas forestales del cuadrante noroccidental ibérico, uno de los más afectados por la invasión de esta flora (Capítulo 6). ABSTRACT The effects of global change on forests are one of the major concerns of the XXI century. Some of the potential impacts of global change on forest growth, productivity, biodiversity or changes in species assembly and spatial distribution may have great ecological and economic consequences. The detection and monitoring of these effects are some of the major challenges that scientists and forest managers face nowadays. Based on the comparison of historical series of the Spanish National Forest Inventory (NFI), this thesis tries to shed some light on some of the impacts driven by recent socio-economic and environmental changes on our forest ecosystems. Firstly, this thesis presents an innovative methodology based on geostatistical techniques that allows the comparison of different NFI cycles regardless of the different sampling methods used in each of them (Chapter 3). This methodology, in conjunction with other statistical techniques, allows to analyze changes in the spatial distribution and population dynamics of forest species along different geographic gradients. By its application, this thesis presents some of the first evidences of changes in species distribution along different geographical gradients in the Iberian Peninsula. The analysis of these findings, of species population dynamics and demographic rates will help to test some biogeographical hypothesis on forests under climate change scenarios in areas of particular vulnerability (Chapters 3, 4 and 5). Finally, by comparing NFI cycles with permanent plots, this thesis increases our knowledge about the patterns and processes associated with the recent evolution of invasive species in the forest ecosystems of North-western Iberia, one of the areas most affected by the invasion of allien species at national scale (Chapter 6).

Environmental and developmental signals modulate proline homeostasis: evidence for a negative transcriptional regulator.

In many plants, osmotic stress induces a rapid accumulation of proline through de novo synthesis from glutamate. This response is thought to play a pivotal role in osmotic stress tolerance [Kishor, P. B. K., Hong, Z., Miao, G.-H., Hu, C.-A. A. and Verma, D. P. S. (1995) Plant Physiol. 108, 1387-1394]. During recovery from osmotic stress, accumulated proline is rapidly oxidized to glutamate and the first step of this process is catalyzed by proline oxidase. We have isolated a full-length cDNA from Arabidopsis thaliana, At-POX, which maps to a single locus on chromosome 3 and that encodes a predicted polypeptide of 499 amino acids showing significant similarity with proline oxidase sequences from Drosophila and Saccharomyces cerevisiae (55.5% and 45.1%, respectively). The predicted location of the encoded polypeptide is the inner mitochondrial membrane. RNA gel blot analysis revealed that At-POX mRNA levels declined rapidly upon osmotic stress and this decline preceded proline accumulation. On the other hand, At-POX mRNA levels rapidly increased during recovery. Free proline, exogenously added to plants, was found to be an effective inducer of At-POX expression; indeed, At-POX was highly expressed in flowers and mature seeds where the proline level is higher relative to other organs of Arabidopsis. Our results indicate that stress- and developmentally derived signals interact to determine proline homeostasis in Arabidopsis.

Seed and vascular expression of a high-affinity transporter for cationic amino acids in Arabidopsis.

In most plants amino acids represent the major transport form for organic nitrogen. A sensitive selection system in yeast mutants has allowed identification of a previously unidentified amino acid transporter in Arabidopsis. AAT1 encodes a hydrophobic membrane protein with 14 membrane-spanning regions and shares homologies with the ecotropic murine leukemia virus receptor, a bifunctional protein serving also as a cationic amino acid transporter in mammals. When expressed in yeast, AAT1 mediates high-affinity transport of basic amino acids, but to a lower extent also recognizes acidic and neutral amino acids. AAT1-mediated histidine transport is sensitive to protonophores and occurs against a concentration gradient, indicating that AAT1 may function as a proton symporter. AAT1 is specifically expressed in major veins of leaves and roots and in various floral tissues--i.e., and developing seeds.

Vigor, variação na concentração de metabólitos sanguíneos e avaliação da transferência de imunidade passiva em bezerros leiteiros neonatos

O objetivo deste trabalho foi identificar o padrão de vigor e status metabólico através da determinação da frequência dos sinais objetivos e metabólitos sanguíneos após o nascimento, possivelmente associados à transferência de imunidade passiva, além de determinar o melhor horário para o uso do refratômetro de Brix na avaliação da transferência de imunidade passiva em bezerros neonatos após a ingestão de colostro. No primeiro experimento foram utilizados 46 bezerros neonatos de ambos os sexos, nascidos entre setembro de 2013 e julho de 2014. A avaliação do vigor dos animais foi realizada entre 15 e 30 minutos após o nascimento com o auxílio da escala APGAR modificada pela Universidade de Guelph. A colheita de sangue para análise de metabólitos seguiu os horários de 0h (antes da ingestão), 1h, 2h, 4h, 6h, 12h, 24h, 48h contadas a partir da ingestão do colostro. Os parâmetros sanguíneos foram determinados por kit enzimático específico para cada parâmetro em Sistema Automático para Bioquímica. Todos os animais utilizados neste estudo foram oriundos de partos eutócicos e apresentaram, de acordo com a escala APGAR, vigor satisfatório. As concentrações de metabólicos sanguíneos dos neonatos mostraram que o consumo de colostro aumentou a disponibilidade de energia e a concentração de frações proteicas, comumente utilizadas como indicativos da transferência de imunidade passiva. No segundo experimento foram utilizados 47 bezerros neonatos de ambos os sexos, nascidos entre março e julho de 2014. O colostro foi ordenhado após o parto e a qualidade determinada com auxílio do colostrômetro e do refratômetro digital. A colheita do sangue para a análise dos parâmetros sanguíneos seguiu os horários de 0h (antes da ingestão), 1h, 2h, 4h, 6h, 12h, 24h, 48h, 72h, 96 e 120h, contadas a partir da ingestão do colostro. A concentração de proteína total foi determinada por refratômetro de Brix e por kit enzimático em Sistema Automático para Bioquímica. Os demais parâmetros sanguíneos foram determinados por kit enzimático específico para cada parâmetro em Sistema Automático para Bioquímica. A contagem global e diferenciada das células sanguíneas foi realizada nos tempos 0, 12 e 24h após o fornecimento do colostro. O colostro se manteve na faixa de boa qualidade, segundo os critérios de classificação de medidas pelo colostrômetro e refratômetro digital de Brix. O consumo de colostro foi o principal fator de variação dos parâmetros estudados neste trabalho. A avaliação da transferência de imunidade passiva em bezerros recém-nascidos deve ser realizada por volta das 24 horas após a ingestão do colostro, pois neste momento a absorção de macromoléculas colostrais já está encerrada e a PT alcança estabilidade. A partir deste período, não é possível determinar se as frações proteicas avaliadas são de origem colostral ou endógena, o que não garante avaliação segura sobre a transferência de imunidade passiva.

Extratos de Ascophyllum nodosum no tratamento de sementes de milho e soja: avaliações fisiológicas e moleculares

A obtenção de uma lavoura com população adequada de plantas depende da utilização de diferentes práticas agronômicas, estando o sucesso condicionado ao uso de sementes de boa qualidade. No entanto, a semeadura dificilmente é realizada em condições ideais o que resulta em problemas na emergência das plantas. Grande é a procura por alternativas que melhorem a germinação e o desenvolvimento inicial dos cultivos resultando em uniformidade de emergência, garantindo o estande e culminando em produção. O tratamento de sementes com agroquímicos fitossanitários é uma solução parcial no combate de agentes fitopatológicos e pragas, mas poucas são as soluções adotadas para melhorar o desenvolvimento vegetal inicial, que pode levar a desuniformidade e falhas no estande gerando prejuízos econômicos. Os extratos de algas já demonstraram em diversos estudos sua eficiência no desenvolvimento vegetal quando aplicados em plantas. Porém poucos são os estudos voltados para os efeitos dos extratos de algas na germinação e emergência. Assim, o intuito deste trabalho foi testar o extrato comercial de Ascophyllum nodosum, e diferentes fracionamentos do mesmo, no tratamento de sementes de soja e milho. Avaliou-se o efeito de diferentes doses no desenvolvimento das plântulas e as doses de melhor resposta foram utilizadas no tratamento de sementes de soja a fim de associar as respostas obtidas à expressão gênica de 9 genes relacionados ao processo germinativo em 24 e 48h de embebição. Sementes de soja tratadas com o extrato comercial resultaram em plântulas menos desenvolvidas o que pode estar relacionado ao alto teor de sais contidos no produto. O tratamento com as demais frações favoreceu o desenvolvimento das plântulas, principalmente o desenvolvimento radicular. Sementes de milho tratadas não apresentaram desenvolvimento tão satisfatório quanto as sementes de soja tratadas. A análise da expressão gênica relativa demonstrou que o tratamento com frações do extrato comercial é capaz de regular algumas vias do metabolismo hormonal, como a isopentenil transferase e a GA20 oxidase 2, e do catabolismo de reservas, como a acil-CoA oxidase. Em condições ótimas, o tratamento de sementes de soja com frações do extrato comercial de A. nodosum favoreceu o desenvolvimento inicial das plântulas de soja, no entanto não ocasionou grandes alterações no desenvolvimento de milho. Este estudo demonstrou a possibilidade de utilização de frações do extrato de A. nodosum no favorecimento do desenvolvimento inicial de plântulas de soja. Maiores estudos são necessários quanto às respostas em campo e na atenuação de estresses para viabilizar seu uso como um bioestimulante em sementes.

Una mirada a la dispersión de semillas en las excretas de mamíferos

Terrestrial mammals are good dispersers of the fruits and seeds of seasonal rainforest in the Gulf of Mexico. Their importance lies in the huge quantity of fruit and seeds they consume, and their daily and seasonal movement through natural and secondary vegetation and agricultural fields. Their importance is even more noteworthy in the face of increasing deforestation and forest fragmentation, which limits the dispersal of propagules across the landscape and affects, among other things, the potential for forest regeneration. To evaluate fruit and seed consumption and dispersal over 12 months, the droppings of rainforest mammals were analyzed for the rainforest and an abandoned pasture (8,400 m2 respectively) on the coast of central Veracruz, Mexico. In the rainforest 158 droppings were collected and 47 in the pasture from a total of eight mammal species, six of which are known dispersers. The droppings contained 150 seeds belonging to 36 species and 19 families. The deposition of different species and quantities of seeds in the forest and pasture indicates that mammals disperse more rainforest species to the pasture than vice versa.

RED vs. REDD: Biofuel Policy vs. Forest Conservation. Factor Markets Working Document No. 41, May 2013

This paper assesses the complex interplay between global Renewable Energy Directives (RED) and the United Nations programme to Reduce Emissions from Deforestation and forest Degradation (REDD). We examine the interaction of the two policies using a scenario approach with a recursive-dynamic global Computable General Equilibrium model. The consequences of a global biofuel directive on worldwide land use, agricultural production, international trade flows, food prices and food security out to 2030 are evaluated with and without a strict global REDD policy. We address a key methodological challenge of how to model the supply of land in the face of restrictions over its availability, as arises under the REDD policy. The paper introduces a flexible land supply function, which allows for large changes in the total potential land availability for agriculture. Our results show that whilst both RED and REDD are designed to reduce emissions, they have opposing impacts on land use. RED policies are found to extend land use whereas the REDD policy leads to an overall reduction in land use and intensification of agriculture. Strict REDD policies to protect forest and woodland lead to higher land prices in all regions. World food prices are slightly higher overall with some significant regional increases, notably in Southern Africa and Indonesia, leading to reductions in food security in these countries. This said, real food prices in 2030 are still lower than the 2010 level, even with the RED and REDD policies in place. Overall this suggests that RED and REDD are feasible from a worldwide perspective, although the results show that there are some regional problems that need to be resolved. The results show that countries directly affected by forest and woodland protection would be the most economically vulnerable when the REDD policy is implemented. The introduction of REDD policies reduces global trade in agricultural products and moves some developing countries to a net importing position for agricultural products. This suggests that the protection of forests and woodlands in these regions reverses their comparative advantage as they move from being land-abundant to land-scarce regions. The full REDD policy setting, however, foresees providing compensation to these countries to cover their economic losses.

Maps (pdf) and raster images (tif) of predicted rural land cover suitability under current (2010) conditions and future climate scenarios

This study projects land cover probabilities under climate change for corn (maize), soybeans, spring and winter wheat, winter wheat-soybean double cropping, cotton, grassland and forest across 16 central U.S. states at a high spatial resolution, while also taking into account the influence of soil characteristics and topography. The scenarios span three oceanic-atmospheric global circulation models, three Representative Concentration Pathways, and three time periods (2040, 2070, 2100). As climate change intensifies, the suitable area for all six crops display large northward shifts. Total suitable area for spring wheat, followed by corn and soybeans, diminish. Suitable area for winter wheat and for winter wheat-soybean double-cropping expand northward, while cotton suitability migrates to new, more northerly, locations. Suitability for forest intensifies in the south while yielding to crops in the north; grassland intensifies in the western Great Plains as crop suitability diminishes. To maintain current broad geographic patterns of land use, large changes in the thermal response of crops such as corn would be required. A transition from corn-soybean to winter wheat-soybean doubling cropping is an alternative adaptation.

Alabama seed law and rules and regulations, 1940, 1943.

Mode of access: Internet.

The Uganda protectorate; an attempt to give some description of the physical geography, botany, zoology, anthropology, languages and history of the territories under British protection in East Central Africa, between the Congo Free State and the Rift Valley and between the first degree of south latitude and the fifth degree of north latitude,

Appendix to chapter XIII "Anthropology," and to chapter XIV "Pygmies and forest negroes," by Dr. F. Shrubsall.

Trees, prairies, and people : a history of tree planting in the Plains States /

Bicentennial project of the Texas Woman's University and Forest Service, U. S. Dept. of Agriculture."

Pellet seeding on western rangelands /

Bibliography: p. 32-33.

Wildlife and America : contributions to an understanding of American wildlife and its conservation /

Cosponsored by U.S. Fish and Wildlife Service, Forest Service, and the National Oceanic and Atmospheric Administration.

Bariatric surgery in women of child-bearing age, timing between an operation and birth, and associated perinatal complications

Thesis (Master's)--University of Washington, 2016-06