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Vernal pools are small seasonally-ponded wetlands that provide crucial habitat for amphibian reproduction and support trophic levels beyond their boundaries. The Ridge and Valley physiographic province in Pennsylvania is known to have vernal pools, but a regional inventory and geomorphology assessment is needed. My research is split into two independent parts focusing on the higher elevation areas of this region to determine vernal pool distribution and characteristics. Vernal pools were mapped using a LiDAR based suitability model and leaf-off aerial imagery interpretation. Four terrain rasters derived from a 1-meter DEM (modified wind modified wind exposure, terrain surface convexity, topographic position index, and a multiresolution index of valley bottom flatness) were used in the suitability model. An analysis of variance (ANOVA) and Tukey's HSD test found a significant difference using the model between terrestrial (non-wetland) habitat and vernal pools. Photo interpretation and field surveying lead to an inventory of 1011 vernal pools. Geomorphology was assessed from 13 variables to determine the best for vernal pool prediction. Three variables were significant for the occurrence and frequency of vernal pools; saddles with higher surface area, 0.6 to 1.5 kilometers between the summits of parallel ridgelines, and the presence of periglacial related solifluction. Vernal pool distribution is greater than previously known and they occur in predictable settings. Further research should focus on how and where vernal pools form, their impact on water quality, role in forest ecology, and ways to legally protect them at the state level. / Master of Science / Vernal pools are seasonally-ponded wetlands that are very important for amphibian reproduction. The Appalachian Mountains of Pennsylvania are known to have vernal pools, but comprehensive inventory is lacking. My research consists of two parts that focus on the higher elevation areas and assess the distribution and qualities of the vernal pools. Vernal pools were mapped using a LiDAR based suitability model and leaf-off aerial imagery interpretation. Statistical analysis was completed to prove that there was a significant difference in terrain morphology between non-wetland habitat and vernal pools. This research resulted in a total inventory of 1011 vernal pools. Results found that vernal pools were likely occur in landscape positions with higher surface area, 0.6 to 1.5 kilometers between the summits of parallel ridgelines, and the presence of topographic features indicative of glacial processes. Vernal pools are much more abundant than previously known and they occur in predictable settings. Further research could focus on the formation of vernal pools, impact on water quality, role in forest ecology, and ways to legally protect them at the state level.

Soil is one of the most precious resources on Earth because of its role in storing and recycling water and nutrients essential for life, providing a variety of ecosystem services. This vulnerable resource is at risk from degradation by erosion, salinity, contamination and other effects of mismanagement. Information from soil is therefore crucial for its sustainable management. While the demand for soil information is growing, the quantity of data collected in the field is reducing due to financial constraints. Digital Soil Mapping (DSM) supports the creation of geographically referenced soil databases generated by using field observations or legacy data coupled, through quantitative relationships, with environmental covariates. This enables the creation of soil maps at unexplored locations at reduced costs. The selection of an optimal scale for environmental covariates is still an unsolved issue affecting the accuracy of DSM. The overall aim of this research was to explore the effect of spatial scale alterations of environmental covariates in DSM. Three main targets were identified: assessing the impact of spatial scale alterations on classifying soil taxonomic units; investigating existing approaches from related scientific fields for the detection of scale patterns and finally enabling practitioners to find a suitable scale for environmental covariates by developing a new methodology for spatial scale analysis in DSM. Three study areas, covered by detailed reconnaissance soil survey, were identified in the Republic of Ireland. Their different pedological and geomorphological characteristics allowed to test scale behaviours across the spectrum of conditions present in the Irish landscape. The investigation started by examining the effects of scale alteration of the finest resolution environmental covariate, the Digital Elevation Model (DEM), on the classification of soil taxonomic units. Empirical approaches from related scientific fields were subsequently selected from the literature, applied to the study areas and compared with the experimental methodology. Wavelet analysis was also employed to decompose the DEMs into a series of independent components at varying scales and then used in DSM analysis of soil taxonomic units. Finally, a new multiscale methodology was developed and evaluated against the previously presented experimental results. The results obtained by the experimental methodology have proved the significant role of scale alterations in the classification accuracy of soil taxonomic units, challenging the common practice of using the finest available resolution of DEM in DSM analysis. The set of eight empirical approaches selected in the literature have been proved to have a detrimental effect on the selection of an optimal DEM scale for DSM applications. Wavelet analysis was shown effective in removing DEM sources of variation, increasing DSM model performance by spatially decomposing the DEM. Finally, my main contribution to knowledge has been developing a new multiscale methodology for DSM applications by combining a DEM segmentation technique performed by k-means clustering of local variograms parameters calculated in a moving window with an experimental methodology altering DEM scales. The newly developed multiscale methodology offers a way to significantly improve classification accuracy of soil taxonomic units in DSM. In conclusion, this research has shown that spatial scale analysis of environmental covariates significantly enhances the practice of DSM, improving overall classification accuracy of soil taxonomic units. The newly developed multiscale methodology can be successfully integrated in current DSM analysis of soil taxonomic units performed with data mining techniques, so advancing the practice of soil mapping. The future of DSM, as it successfully progresses from the early pioneering years into an established discipline, will have to include scale and in particular multiscale investigations in its methodology. DSM will have to move from a methodology of spatial data with scale to a spatial scale methodology. It is now time to consider scale as a key soil and modelling attribute in DSM.

A conversão de vegetação nativa e o uso inadequado das terras convertidas resultam em prejuízos graves para as funções e processos dos ecossistemas, impactando diretamente a provisão de serviços ambientais e o bem-estar da sociedade. Em meio ao elevado nível de degradação e fragmentação de habitats naturais, pesquisadores têm buscado alternativas para promover a sustentabilidade de paisagens modificadas pelo homem, procurando conciliar ações conservacionistas com as necessidades de produção agropecuária e do uso consciente dos recursos naturais. Para contribuir com esse tema, este trabalho apresentou uma metodologia para a priorização de áreas para restauração florestal em paisagens agrícolas. Foram utilizados indicadores biofísicos (perda de solo, escoamento superficial e conectividade da paisagem) e técnicas de modelagem espacial para analisar o efeito de cenários alternativos de uso do solo sobre a conservação do solo, da água e da biodiversidade. Foram criados dois grupos de cenários, sendo que um grupo apresenta cenários com diferentes quantidades e arranjos espaciais da cobertura florestal na paisagem, e outro grupo se refere à cenários com diferentes tamanhos de faixas marginais florestadas no entorno da rede de drenagem. Os resultados do primeiro grupo de cenários demonstraram que o arranjo espacial da cobertura florestal influenciou significativamente a perda de solo e o escoamento superficial, mas não apresentou efeitos significativos para a conectividade da paisagem, que se mostrou dependente apenas da quantidade de cobertura florestal. As maiores sinergias entre os indicadores analisados foram expressas a partir da aplicação conjunta de boas práticas agrícolas e a restauração florestal de áreas críticas para conservação do solo e da água, demonstrando a complementariedade dessas ações no manejo de paisagens agrícolas. Quanto ao segundo grupo de cenários, os resultados demonstraram a influência positiva do tamanho da faixa florestada na capacidade de retenção de sedimentos das zonas ripárias e na conectividade da paisagem, de modo que os melhores resultados foram obtidos com o total recobrimento das Áreas de Preservação Permanente (APPs) por florestas. Observou-se que a quantidade de cobertura florestal influenciou positivamente a capacidade de retenção de sedimentos das APPs, sendo determinante no comportamento dessas áreas como fonte ou filtro de sedimentos para os canais de drenagem. De forma geral, os resultados apresentados neste trabalho demonstraram o potencial de estratégias conservacionistas e de restauração florestal em paisagens agrícolas, ao mesmo tempo que reforçaram as necessidades de planejamento e da inclusão de áreas de produção agropecuária no manejo de paisagens. Em um cenário atual de implementação da Lei de Proteção da Vegetação Nativa e de exigências mais brandas para recomposição de APPs e Reservas Legais em propriedades privadas, os resultados sugerem que apenas as ações de comando e controle podem não ser suficientes para promover a provisão de serviços ambientais e a conservação da biodiversidade em paisagens agrícolas. Desse modo, recomenda-se que haja uma desvinculação do que está previsto em lei com o conceito de paisagens sustentáveis, pois apenas a adequação legal de propriedades rurais pode não ser capaz de assegurar o fornecimento de bens e serviços à sociedade. / The conversion of native vegetation and the inappropriate use of converted land have resulted in severe damage to the natural ecosystem functions and processes, affecting the provision of environmental services and the welfare of society. Due to the high level of degradation and fragmentation of natural habitats, researchers have sought alternatives to promote the sustainability of human modified landscapes, aiming to reconcile conservation actions with the agricultural production needs and the conscious use of natural resources. To contribute to this theme, this thesis presented a methodology for prioritizing areas for forest restoration on agricultural landscapes. Biophysical indicators (soil loss, runoff and landscape connectivity) and spatial modeling techniques were used to analyze the effects of alternative scenarios of land use on the conservation of soil, water and biodiversity. These effects were analyzed on two groups of scenarios, wherein one group presents scenarios with different amounts and spatial arrangements of forest cover on the landscape, and another group refers to scenarios with different sizes of forested riparian buffer zones. The results of the first group of scenarios showed that the spatial arrangement of the forest cover significantly influenced the soil loss and runoff, but did not significantly affect the landscape connectivity, which proved to be dependent only by the amount of forest cover. The highest synergies between the analyzed indicators were expressed with the joint application of best management practices and forest restoration of critical areas for soil and water conservation, demonstrating the complementarity of these actions in the management of agricultural landscapes. Considering the second group of scenarios, the results demonstrated the positive influence of the size of forested riparian buffers on sediment retention capacity of riparian areas and landscape connectivity, and the best results were obtained with the total coverage of the Areas of Permanent Preservation (APPs) by forests. It was observed that the amount of forest cover positively influenced the sediment retention capacity of APPs and determined the behavior of these areas as sediment filter or source for stream channels. Overall, the results presented in this thesis demonstrated the potential of conservation and forest restoration strategies on agricultural landscapes, while it reinforced the needs for planning and for the inclusion of agricultural production areas in landscape management strategies. On current expectations for the implementation of the new Brazilian Forest Act and softer requirements for restoration of APPs and Legal Reserves on private properties, the results suggest that only the command and control actions may not be sufficient to promote the provision of environmental services and biodiversity conservation on agricultural landscapes. Therefore, we recommend the detachment from what is required by law to the concept of sustainable landscapes, because only the legal compliance of rural properties may not be able to ensure the supply of goods and services to society.

The spatial patterns of land surface and subsurface characteristics determine the spatial heterogeneity of hydrological processes. Soil depth is one of these characteristics and an important input parameter required by distributed hydrological models that explicitly represent spatial heterogeneity. Soil is related to topography and land cover due to the role played by topography and vegetation in affecting soil-forming processes. The research described in this dissertation addressed the development of statistical models that predict the soil depth pattern over the landscape; derivation of new topographic variables evaluated using both serial and parallel algorithms; and evaluation of the impacts of detailed soil depth representation on simulations of stream flow and soil moisture. The dissertation is comprised of three papers. In paper 1, statistical models were developed to predict soil depth pattern over the watershed based on topographic and land cover variables. Soil depth was surveyed at locations selected to represent the topographic and land cover variation at the Dry Creek Experimental Watershed, near Boise, Idaho. Explanatory variables were derived from a digital elevation model and remote sensing imagery for regression to the field data. Generalized Additive and Random Forests models were developed to predict soil depth over the watershed. The models were able to explain about 50% of the soil depth spatial variation, which is an important improvement over the soil depth extracted from the SSURGO national soil database. In paper 2, definitions of the new topographic variables derived in the effort to model soil depth, and serial and Message Passing Interface parallel implementations of the algorithms for their evaluation are presented. The parallel algorithms enhanced the processing speed of large digital elevation models as compared to the serial recursive algorithms initially developed. In paper 3, the impact of spatially explicit soil depth information on simulations of stream flow and soil moisture as compared to soil depth derived from the SSURGO soil database has been evaluated. The Distributed Hydrology Vegetation Soil Model was applied using automated parameter optimization technique with all input parameters the same except soil depth. Stream flow was less impacted by the detailed soil depth information, while simulation of soil moisture was slightly improved due to the detailed representation of soil depth.

In boreal catchments, stream water chemistry is influenced and controlled by several landscape factors. The influence of spatially distributed variables is in turn dependent on the hydrological scale. Headwater streams have larger variability of water chemistry, and thus together represent a large biodiversity, and therefore need to be monitored in official environmental assessments. One objective of this study was, using Geographical Information Systems (GIS), to analyse co-variation between landscape variables and water chemistry and to determine which of the landscape variables have a major influence on the concentration of dissolved organic carbon (DOC) in headwater streams. Another objective was to find a simple method for predicting sources of DOC, using official map data and publically available GIS applications. Totally 85 headwater catchments (0.1-4 km2) in the county of Värmland, western south Sweden, were used in the study. Water chemistry was analysed for water sampled at low, medium and high flows, and landscape variables were extracted from official map data sources: topographic maps, a digital elevation model (DEM, 50 m grid), and vegetation data. Statistical analyses showed that topography (mean slope and mean topographic wetness index (TWI)) and wetland cover often correlated well with DOC in headwater catchments. Official map data could satisfactorily extract landscape variables (mean slope, mean TWI) that were useful in predicting stream water chemistry (DOC). A high-resolution elevation model, which was generated by interpolation of photogrammetric data, was used to calculate and evaluate two different wetness indices and their ability to predict the occurrence of wetlands in six catchments of different sizes and topography. The SAGA (System for Automated Geoscientific Analyses) wetness index (SWI) gave substantially better results than the TWI. The effects of resolution of DEMs on calculations of the SWI were investigated using 5, 10, 25 and 50 m grids. The results showed that SWI values increased with increasing cell size. The near linear increment of mean values for resolutions 10-50 m suggests a independence of terrain type and catchment size, which supported previous findings that indicated that mean slope and mean wetness index calculated from coarse elevation models may be used for prediction of DOC in headwater streams.

A conversão de vegetação nativa e o uso inadequado das terras convertidas resultam em prejuízos graves para as funções e processos dos ecossistemas, impactando diretamente a provisão de serviços ambientais e o bem-estar da sociedade. Em meio ao elevado nível de degradação e fragmentação de habitats naturais, pesquisadores têm buscado alternativas para promover a sustentabilidade de paisagens modificadas pelo homem, procurando conciliar ações conservacionistas com as necessidades de produção agropecuária e do uso consciente dos recursos naturais. Para contribuir com esse tema, este trabalho apresentou uma metodologia para a priorização de áreas para restauração florestal em paisagens agrícolas. Foram utilizados indicadores biofísicos (perda de solo, escoamento superficial e conectividade da paisagem) e técnicas de modelagem espacial para analisar o efeito de cenários alternativos de uso do solo sobre a conservação do solo, da água e da biodiversidade. Foram criados dois grupos de cenários, sendo que um grupo apresenta cenários com diferentes quantidades e arranjos espaciais da cobertura florestal na paisagem, e outro grupo se refere à cenários com diferentes tamanhos de faixas marginais florestadas no entorno da rede de drenagem. Os resultados do primeiro grupo de cenários demonstraram que o arranjo espacial da cobertura florestal influenciou significativamente a perda de solo e o escoamento superficial, mas não apresentou efeitos significativos para a conectividade da paisagem, que se mostrou dependente apenas da quantidade de cobertura florestal. As maiores sinergias entre os indicadores analisados foram expressas a partir da aplicação conjunta de boas práticas agrícolas e a restauração florestal de áreas críticas para conservação do solo e da água, demonstrando a complementariedade dessas ações no manejo de paisagens agrícolas. Quanto ao segundo grupo de cenários, os resultados demonstraram a influência positiva do tamanho da faixa florestada na capacidade de retenção de sedimentos das zonas ripárias e na conectividade da paisagem, de modo que os melhores resultados foram obtidos com o total recobrimento das Áreas de Preservação Permanente (APPs) por florestas. Observou-se que a quantidade de cobertura florestal influenciou positivamente a capacidade de retenção de sedimentos das APPs, sendo determinante no comportamento dessas áreas como fonte ou filtro de sedimentos para os canais de drenagem. De forma geral, os resultados apresentados neste trabalho demonstraram o potencial de estratégias conservacionistas e de restauração florestal em paisagens agrícolas, ao mesmo tempo que reforçaram as necessidades de planejamento e da inclusão de áreas de produção agropecuária no manejo de paisagens. Em um cenário atual de implementação da Lei de Proteção da Vegetação Nativa e de exigências mais brandas para recomposição de APPs e Reservas Legais em propriedades privadas, os resultados sugerem que apenas as ações de comando e controle podem não ser suficientes para promover a provisão de serviços ambientais e a conservação da biodiversidade em paisagens agrícolas. Desse modo, recomenda-se que haja uma desvinculação do que está previsto em lei com o conceito de paisagens sustentáveis, pois apenas a adequação legal de propriedades rurais pode não ser capaz de assegurar o fornecimento de bens e serviços à sociedade. / The conversion of native vegetation and the inappropriate use of converted land have resulted in severe damage to the natural ecosystem functions and processes, affecting the provision of environmental services and the welfare of society. Due to the high level of degradation and fragmentation of natural habitats, researchers have sought alternatives to promote the sustainability of human modified landscapes, aiming to reconcile conservation actions with the agricultural production needs and the conscious use of natural resources. To contribute to this theme, this thesis presented a methodology for prioritizing areas for forest restoration on agricultural landscapes. Biophysical indicators (soil loss, runoff and landscape connectivity) and spatial modeling techniques were used to analyze the effects of alternative scenarios of land use on the conservation of soil, water and biodiversity. These effects were analyzed on two groups of scenarios, wherein one group presents scenarios with different amounts and spatial arrangements of forest cover on the landscape, and another group refers to scenarios with different sizes of forested riparian buffer zones. The results of the first group of scenarios showed that the spatial arrangement of the forest cover significantly influenced the soil loss and runoff, but did not significantly affect the landscape connectivity, which proved to be dependent only by the amount of forest cover. The highest synergies between the analyzed indicators were expressed with the joint application of best management practices and forest restoration of critical areas for soil and water conservation, demonstrating the complementarity of these actions in the management of agricultural landscapes. Considering the second group of scenarios, the results demonstrated the positive influence of the size of forested riparian buffers on sediment retention capacity of riparian areas and landscape connectivity, and the best results were obtained with the total coverage of the Areas of Permanent Preservation (APPs) by forests. It was observed that the amount of forest cover positively influenced the sediment retention capacity of APPs and determined the behavior of these areas as sediment filter or source for stream channels. Overall, the results presented in this thesis demonstrated the potential of conservation and forest restoration strategies on agricultural landscapes, while it reinforced the needs for planning and for the inclusion of agricultural production areas in landscape management strategies. On current expectations for the implementation of the new Brazilian Forest Act and softer requirements for restoration of APPs and Legal Reserves on private properties, the results suggest that only the command and control actions may not be sufficient to promote the provision of environmental services and biodiversity conservation on agricultural landscapes. Therefore, we recommend the detachment from what is required by law to the concept of sustainable landscapes, because only the legal compliance of rural properties may not be able to ensure the supply of goods and services to society.