<p dir="ltr">Forest ecosystems play a pivotal role in climate change mitigation. Sustainable forest management practices necessitate accurate quantification of forest aboveground carbon stocks (FACS). In the first part of this study, I compared the 13-year changes in FACS across three silvicultural systems, including even-aged management (EA), uneven-aged management (UEA), and non-harvested controls (NH), in Indiana's hardwood forests. Forest stands within each silvicultural system were assigned with one of the six treatment types, including clearcutting, shelterwood, or prescribed burning for EA, single-tree selection or patch cutting for UEA, or untreated controls. From 2008 to 2021, the FACS of the study area exhibited an increase from 91.5 ± 9.0 Mg/ha to 115.3 ± 2.1 Mg/ha. Single-tree selection, shelterwood, and prescribed burning were found to have minimal impacts on FACS. However, clearcutting and patch cutting resulted in a significant reduction in FACS, with subsequent recovery reaching only 30-37% of their pre-treatment levels after 13 years. Further investigations may use long-term inventory data to analyze the chronic recovery patterns on these sites.</p><p dir="ltr">In the second part of this study, I evaluated the feasibility of using 3DEP LiDAR in conjunction with the random forest algorithm for multiscale FACS prediction. It was found that the stand-scale model outperformed the plot-scale model, primarily due to a stand’s higher positioning accuracy and reduced boundary effects than the plot-scale model. This led to a reduction in RMSE from 25.43 Mg/ha (26%) to 16.74 Mg/ha (20%). Moreover, the stand-scale model exhibited robust landscape-level prediction performance even in scenarios where point density decreased from 7.7 points/m² to 2.0 points/m². However, the partitioned model including solely clearcut and patch sites produced a higher RMSE of 59% (17.82 Mg/ha) due to inaccurate LiDAR return classification and biased canopy height metrics extraction. Future research should delve into the mechanisms of point cloud classification to improve the FACS prediction accuracy for clearcut forest monitoring.</p><p dir="ltr">Overall, this thesis contributed to a deeper understanding of carbon dynamics in managed hardwood forests, highlighted the potential of using LiDAR technology for improved landscape-level carbon monitoring, and informed the decision-making processes in the context of climate change mitigation.</p><p><br></p>

Abstract :The main goal of this stud y was to quantify the effect s of landscape structure on the abundance of Ruby-throate d Hummingbird s (Archilochus colubris) in forest patches and this, while accounting for its indirect effects on open flower community an d the occurrence of Yellow-bellied Sapsucker s (Sphympicus varius), a potential commensal of hummingbirds. We sampled 40 forest patches (0. 5 to >10 0 ha ) where we had installed 2 nectar feeders (forest edge and 40 m within forest ) during 2 breeding season s (2006 and 2007) . We visited forest patches weekly and recorded the number of hummingbirds detected within 10 m of feeders during 10 min. Mean daily artificial nectar consumption by hummingbirds, as well as their relative total abundance an d the respective relative abundance of adult males and females, were all affected by forest cover. Except for the relative total abundance, this effect of forest cover depended upon the size of forest patches. Nectar consumption and abundance generally peaked in forest patches of intermediate size found in landscapes characterized by intermediate forest cover. Mea n daily artificial nectar consumption and the relative total abundance, a s well as that of males, were higher at feeders located on the forest edge compared to 40 m inside forest patches. Regarding indirect landscape effects, landscape structure influenced the structure of open flower communities surrounding feeders, which in turn, affected the relative total abundance of hummingbirds, a s well as that of adult males. On the other hand, we failed to find strong evidence that landscape structure affected the occurrence of Yellow-bellied Sapsuckers or that the latter influenced Ruby-throated Hummingbird abundance patterns. These results support the idea that landscape structure may affect the abundance pattern of a species directly as well as through mechanisms which are themselves dependent upon the composition and configuration of landscapes //Résumé : La structure des paysages peut influencer l'écologie d'une espèce directement, en contraignant ses mouvements, par exemple, de même qu'indirectement en affectant, entre autres, l'abondance de ses proies ou prédateurs. Quoique plusieurs études aient tenté de quantifier l'influence de la structure du paysage sur les patrons d'abondance, rares sont celles qui ont mesuré simultanément les effets directs et indirects du paysage. L'objectif de ce mémoire consiste à modéliser simultanément les effets directs de la structure du paysage sur l'abondance relative du Colibri à gorge rubis ( Archilochus colubris ) et sa consommation de nectar artificiel ainsi que les effets indirects par lesquels le paysage peut aussi agir tels la disponibilité en ressources alimentaires (communautés floristiques) et la relation interspécifique de commensalisme avec le Pic maculé ( Sphyrapicus varius ). Pour ce faire, j'ai échantillonné 40 îlots forestiers (0,5 à >100 ha) dans la région de l'Estrie (Québec, Canada). À chacun d'eux, j'ai installé deux abreuvoirs (en bordure et 40 m à l'intérieur) durant les étés 2006 et 2007 et ont été visités de façon hebdomadaire. J'ai détecté une relation quadratique du couvert forestier dans le paysage avec l'abondance totale relative, celle des mâles et des femelles ainsi que pour la consommation quotidienne moyenne. Ces effets varient en fonction de la taille d'îlot sauf pour l'abondance relative totale. Les valeurs maximales se situent à des niveaux intermédiaires de couvert forestier et de taille d'îlots. Certaines caractéristiques mesurées étaient à l'échelle locale comme la position de l'abreuvoir dans l'îlot forestier ou la structure de la végétation. J'ai détecté un effet de bordure pour toutes les variables sauf l'abondance des femelles. L'indice de structure de végétation n'avait d'influence que sur l'abondance des mâles. Concernant les effets indirects, l'ensemble des variables du paysage explique 69,61% de l'indice de communauté floristique et ce dernier a un effet significatif sur l'abondance totale et l'abondance des colibris mâles. Pour la relation avec le pic, les variables du paysage mesurées n'ont pas permis de détecter un effet. De plus, bien qu'étant une variable non significative, les modèles incluant la présence du Pic maculé étaient généralement parmi les plus performants. L'ensemble de ces résultats soutient l'importance de combiner l'écologie du paysage et l'écologie comportementale dans les mêmes modèles afin de tenir compte non seulement des effets directs mais aussi des effets indirects du paysage //

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.

Knowledge of a species habitat-use patterns, as well as an understanding of the distribution and spatial arrangement of preferred habitat, is essential for developing comprehensive management or conservation plans. This information is absent for many species, especially so for those living or breeding in remote areas. Habitat-use models can assist in delineating specific habitat requirements or preferences of a species. When coupled with geographic information system (GIS) technology, such models are now frequently used to identify important habitats and to better define species distributions.<p> Recent and persistent warming, widespread contaminant accumulation, and intensifying land use in the arctic heighten the urgent need for better information about spatial distributions and key habitats for northern wildlife. Here, I used aerial survey and corresponding digital land cover data to investigate breeding-ground distributions and landscape-level habitat associations of greater white-fronted geese (Anser albifrons frontalis), small Canada geese (Branta canadensis hutchinsii), tundra swans (Cygnus columbianus), king eiders (Somateria spectabilis), and long-tailed ducks (Clangula hyemalis) in the Queen Maud Gulf Migratory Bird Sanctuary and the Rasmussen Lowlands, Nunavut, Canada.<p> First, I addressed the sensitivity of inferences about predicting waterfowl presence on the basis of the amounts and configurations of arctic habitat sampled at four scales. Detection and direction of relationships of focal species with land cover covariates often varied when land cover data were analysed at different scales. For instance, patterns of habitat use for a given species at one spatial scale may not necessarily be predicted from patterns arising from measurements taken at other scales. Thus, inference based on species-habitat patterns from some scales may lead to inaccurate depictions of how habitat influences species. Potential variation in species-environment relationships relative to spatial scale needs to be acknowledged by wildlife managers to avoid inappropriate management decisions.<p> Second, I used bird presence determined during aerial surveys and classified satellite imagery to develop species-habitat models for describing breeding-ground distributions and habitat associations of each focal species. Logistic regression models identified lowland land cover types to be particularly important for the species considered. I used the Receiver Operating Characteristic (ROC) technique and the area under the curve (AUC) metric to evaluate the precision of models, where the AUC is equal to the probability that two randomly selected encounter and non-encounter survey segments will be discriminated as such by the model. In the Queen Maud Gulf, AUC values indicated reasonable model discrimination for white-fronted geese, Canada geese, and tundra swans (i.e, AUC > 0.7). Precision of species-habitat models for king eiders and long-tailed ducks was lower than other species considered, but predict encounters and non-encounters significantly better than the null model. For all species, precision of species-habitat models was lower in the Rasmussen Lowlands than in the Queen Maud Gulf, although discrimination ability remained significantly better than the null model for three of five species (king eider and long-tailed duck models performed no better than the null model here).<p> Finally, I simulated anticipated environmental change (i.e., climate warming) in the arctic by applying species-habitat models to manipulated land cover data, and then predicted distributional responses of focal species. All species considered in this research exhibited some association to lowland cover types; white-fronted geese, Canada geese, and tundra swans in particular demonstrated strong affinity toward these habitats. Others authors predict lowland cover types to be most affected by warming. Reductions of wet sedge, hummock, and tussock graminoid cover predicted in this simulation, predominantly along the coast of the Queen Maud Gulf study area and in central areas of the Rasmussen Lowlands, suggest that distributions of species dependant on these lowland habitats will be significantly reduced, if predictions about warming and habitat loss prove to be correct. Research presented here provides evidence that modeling of species distributions using landscape-level habitat data is a tractable method to identify habitat associations, to determine key habitats and regions, and to forecast species responses to environmental changes.

Knowledge of a species habitat-use patterns, as well as an understanding of the distribution and spatial arrangement of preferred habitat, is essential for developing comprehensive management or conservation plans. This information is absent for many species, especially so for those living or breeding in remote areas. Habitat-use models can assist in delineating specific habitat requirements or preferences of a species. When coupled with geographic information system (GIS) technology, such models are now frequently used to identify important habitats and to better define species distributions.<p> Recent and persistent warming, widespread contaminant accumulation, and intensifying land use in the arctic heighten the urgent need for better information about spatial distributions and key habitats for northern wildlife. Here, I used aerial survey and corresponding digital land cover data to investigate breeding-ground distributions and landscape-level habitat associations of greater white-fronted geese (Anser albifrons frontalis), small Canada geese (Branta canadensis hutchinsii), tundra swans (Cygnus columbianus), king eiders (Somateria spectabilis), and long-tailed ducks (Clangula hyemalis) in the Queen Maud Gulf Migratory Bird Sanctuary and the Rasmussen Lowlands, Nunavut, Canada.<p> First, I addressed the sensitivity of inferences about predicting waterfowl presence on the basis of the amounts and configurations of arctic habitat sampled at four scales. Detection and direction of relationships of focal species with land cover covariates often varied when land cover data were analysed at different scales. For instance, patterns of habitat use for a given species at one spatial scale may not necessarily be predicted from patterns arising from measurements taken at other scales. Thus, inference based on species-habitat patterns from some scales may lead to inaccurate depictions of how habitat influences species. Potential variation in species-environment relationships relative to spatial scale needs to be acknowledged by wildlife managers to avoid inappropriate management decisions.<p> Second, I used bird presence determined during aerial surveys and classified satellite imagery to develop species-habitat models for describing breeding-ground distributions and habitat associations of each focal species. Logistic regression models identified lowland land cover types to be particularly important for the species considered. I used the Receiver Operating Characteristic (ROC) technique and the area under the curve (AUC) metric to evaluate the precision of models, where the AUC is equal to the probability that two randomly selected encounter and non-encounter survey segments will be discriminated as such by the model. In the Queen Maud Gulf, AUC values indicated reasonable model discrimination for white-fronted geese, Canada geese, and tundra swans (i.e, AUC > 0.7). Precision of species-habitat models for king eiders and long-tailed ducks was lower than other species considered, but predict encounters and non-encounters significantly better than the null model. For all species, precision of species-habitat models was lower in the Rasmussen Lowlands than in the Queen Maud Gulf, although discrimination ability remained significantly better than the null model for three of five species (king eider and long-tailed duck models performed no better than the null model here).<p> Finally, I simulated anticipated environmental change (i.e., climate warming) in the arctic by applying species-habitat models to manipulated land cover data, and then predicted distributional responses of focal species. All species considered in this research exhibited some association to lowland cover types; white-fronted geese, Canada geese, and tundra swans in particular demonstrated strong affinity toward these habitats. Others authors predict lowland cover types to be most affected by warming. Reductions of wet sedge, hummock, and tussock graminoid cover predicted in this simulation, predominantly along the coast of the Queen Maud Gulf study area and in central areas of the Rasmussen Lowlands, suggest that distributions of species dependant on these lowland habitats will be significantly reduced, if predictions about warming and habitat loss prove to be correct. Research presented here provides evidence that modeling of species distributions using landscape-level habitat data is a tractable method to identify habitat associations, to determine key habitats and regions, and to forecast species responses to environmental changes.

This thesis aims to increase our understanding of mechanisms that influence larval dispersal in marine benthic invertebrates, particularly in the absence of strong oceanographic features (e.g. estuarine plumes, upwelling events, or markedly different water masses). Laboratory experiments identified behavioural mechanisms that regulate the vertical distribution of larvae in response to thermal stratification, and field studies in St. George’s Bay, Nova Scotia (NS), Canada, examined the relationship between larval abundance and physical variables (temperature, salinity, fluorescence, etc) and identified mechanisms that regulate larval distributions in situ. In the laboratory, I demonstrated that thermal stratification affects the vertical distribution of larvae by acting as a barrier to migration, or through temperature-dependent vertical swimming velocities. I also developed a random walk based model which highlighted that the key to successfully simulating larval response to temperature was 1) determining the temperature-dependent distribution of vertical swimming velocities and 2) the temporal autocorrelation in these velocities. In the field, the most striking pattern was that the larval distributions for species with similar swimming abilities were significantly correlated to one another at all scales (0.5 to 40 km). This suggests a common mechanism, related to larval swimming ability, which greatly influences the horizontal larval distribution. I found that the spatial scale of variability in larval distributions (~ 3 km) matches that in both the environmental variables and of coherent structures in current velocities (i.e. the tidal excursion). Results from an aggregation-diffusion model suggest that horizontal larval swimming could not be responsible for the observed level of aggregation in the larval horizontal distributions. I suggest that these horizontal patterns are the result of 1) an aggregative process (i.e. larvae swimming against a vertical current and maintaining their vertical position) and 2) a diffusive process which scales the aggregations to the scale of the coherent structures in current velocity (i.e. tidal excursion). In conclusion, this thesis increases our understanding of larval behaviour and its effects on larval dispersal. The results will be particularly useful to those who are interested in mechanisms regulate population connectivity, particularly those using bio-physical models to model dispersal trajectories.

The best estimates of environmental productivity and their relationship to species diversity on different spatial scales have been studied in grassland communities in an observational study. The fertilization effect on height, growth rate, survival rate and changes in species composition has been studied on an oligotrophic wet meadow in a manipulative experiment.

A busca de padrões consistentes na natureza tem sido a principal meta dos ecólogos. Essa dissertação teve como objetivo usar abordagens filogenéticas na tentativa de compreender melhor o processo ecológico da expansão florestal sobre áreas abertas. O uso da informação filogenética em análises ecológicas considera as espécies não independentes umas das outras, pois estas compartilham grande parte da história evolutiva. Essa hierarquia de organização das espécies é muito importante para determinar as regras que governam os processos de montagem das comunidades locais. Nesta dissertação foram avaliados padrões filogenéticos de estruturação da vegetação lenhosa florestal ocorrente em ecótonos de áreas abertas com vegetação florestal distribuídos em diferentes regiões do extremo sul do Brasil. Estes ecótonos são formados por diversas formações florestais, as quais tendem a expandir sobre as áreas abertas. Dados sobre composição de espécies provieram de estudos já realizados e de amostragens em alguns sítios. Duas métricas filogenéticas complementares foram usadas para avaliar a estrutura filogenética em cada categoria de habitat nos ecótonos: índice de parentesco líquido (NRI) e coordenadas principais da estrutura filogenética (PCPS). As análises dos valores de NRI não mostraram um padrão nítido de estruturação filogenética das comunidades. Já a análise dos PCPS mostrou padrões consistentes nas três escalas espaciais abordadas e independente da composição de espécies. Clados basais associaram-se às áreas florestais, enquanto clados de diversificação recente associaram-se às áreas abertas. Estes resultados indicam que áreas abertas atuam como um filtro filogenético de habitat para as espécies lenhosas florestais em todos os locais analisados, independentemente da escala e da composição de espécies de cada local. Os resultados sugerem que os clados de Rosanae e Asteranae estão na linha de frente do processo de expansão florestal sobre as áreas abertas, e o clado de Magnolianae restrito às áreas florestais. A busca por padrões gerais de organização das comunidades ecológicas a partir de sua estrutura filogenética parece consistir numa ferramenta útil para a exploração e entendimento sobre o funcionamento de sistemas ecológicos. Estas abordagens poderiam beneficiar estratégias de gerenciamento e conservação destes sistemas, por simplificarem sistemas ecológicos complexos e por mostrarem padrões gerais independentes da escala espacial analisada. / The search for consistent patterns in nature has been a major goal of ecologists. This study aimed to employ phylogenetic analyses to improve the understanding of an ecological process, the expansion of forest expansion over open areas. The use of evolutionary information considers species as not independent units in relation to each other, as they share their evolutionary history. Such hierarchical organization of species is very important to determine the rules governing assembly processes in local communities. Phylogenetic approaches were used to evaluate phylogenetic patterns in forest woody vegetation occurring in ecotones comprising open areas and forest vegetation, and distributed across different regions in the southernmost Brazilian region. Those ecotones are composed by different forest vegetation types, which tend to expand over open areas. Data on species composition were compiled from previous studies, and vegetation sampling was carried out in sites without available information on species composition in ecotones. Two complementary phylogenetic metrics were used to evaluate the phylogenetic structure in each habitat type occurring in ecotones: net relatedness index (NRI) and principal coordinates of phylogenetic structure (PCPS). Analyses of NRI values did not show any clear pattern of phylogenetic structuring of the communities. Nonetheless, PCPS analysis showed consistent patterns across the threes spatial scales evaluated, which were independent of the species composition of the sites. Basal clades were associated with forest areas, while late-divergence clades were associated with open areas. These findings indicate that open areas act as a phylogenetic habitat filtering to forest woody species throughout the region, independently of the spatial scale and of the species composition in each site. The results suggest that the clades Rosanae and Asteranae represent the vanguard in theforest expansion process over open areas, while the distribution of the basal clade Magnolianae is restricted to forest sites. The search for general organization patterns in ecological communities based on their phylogenetic structure seems to be a useful tool for exploring and understanding the functioning of ecological systems. Such approach might benefit ecosystem managing and conservation strategies, as it simplifies complex ecological systems, and shows general patterns independently of the scale analyzed.

Urban environments are typically host to a high level of biodiversity which is important for the provision of ecosystem services, and for facilitating contact between humans and nature. However, accelerating urbanisation precipitates considerable declines in the number of species which inhabit these environments as a greater number of homes and roads are constructed to accommodate a growing global human population. Domestic gardens afford an important opportunity to combat these declines, owing to their capacity to support a high level of biodiversity and the substantial land area which they cover. However, the fine spatial scale of individual isolated domestic gardens constrains their ability to increase biodiversity at larger spatial scales. Consequently, managing domestic gardens collectively, by conjoining multiple neighbouring domestic gardens and managing them as a single larger habitat, has been proposed as a promising approach to increase biodiversity at these scales. Importantly however, the practical implementation of this approach necessitates neighbouring householders to collaboratively undertake biodiversity favourable garden management and to conjoin their domestic gardens. Crucially, this management is performed by householders discretionarily and can be influenced by demographic, perceptual, environmental, and socio-economic factors. Furthermore, householder attitudes towards conjoining domestic gardens may also influence the practicality of this approach. Therefore, this research explores what impact the extent to which householders undertake biodiversity favourable garden management has on the practicality of the collective management approach and how this is influenced by the aforementioned factors. In addition, it explores how this practicality is influenced by householder attitudes to conjoining domestic gardens. Lastly, it investigates how the collaborative undertaking of biodiversity favourable garden management by neighbouring householders could be encouraged, taking into consideration the constraints associated with current projects which promote such management. A survey was used to explore the prevalence of biodiversity favourable garden management, the influences on this management, and attitudes towards conjoining domestic gardens. This was conducted with an online semi-structured questionnaire which was distributed to householders using the social-networking site, Facebook. In addition, a bio-indicator approach was used to analyse the impact of general domestic garden management on biodiversity and birds were selected as a bio-indicator. Accordingly, respondents to the survey were also required to identify which bird species visit their domestic gardens. Seventeen elite interviews were also conducted with representatives from a range of organisations operating domestic garden projects, participants in such projects, and academics with expertise in domestic garden management, in order to explore the constraints associated with current domestic garden projects. The survey yielded 276 responses and provided support to the practicality of the collective management approach. In particular, it indicated that householders commonly undertake biodiversity favourable garden management, by predominantly providing food for birds and planting vegetation, and 60% of householders are willing to conjoin domestic gardens. However, the survey also highlighted that biodiversity favourable garden management is impeded by a number of factors. These included small domestic gardens, which particularly limit vegetation planting, and can be commonplace in urban environments. In addition, householders commonly nullify the benefits afforded by undertaking this management by covering domestic gardens with hard surface and lawns, which eliminate space for vegetation. Moreover, strong desires to retain ownership and privacy of domestic gardens precipitate the unwillingness of a significant proportion of householders to conjoin domestic gardens. This therefore challenges the practicality of the collective management approach. The results from the elite interviews indicated that householders lack commitment to current domestic garden projects, which are constrained by difficulties acquiring sufficient funding. These issues could also be pertinent to approaches which are developed to encourage the collaborative undertaking of biodiversity favourable garden management, further rendering the collective management approach impractical. The practicality of the collective management approach could be enhanced by modifying the design of new housing in a manner which is favourable to biodiversity and which ensures a minimal domestic garden size. In addition, including domestic gardens in green infrastructure strategies could further enhance this practicality. Furthermore, amending planning policy to regulate the covering of domestic gardens with hard surface and lawns more stringently could reduce the prevalence of these features. Householder commitment to approaches which encourage the collaborative undertaking of biodiversity favourable garden management could be promoted by providing feedback regarding the contribution this makes to increasing biodiversity at large spatial scales. Moreover, greater funding for these approaches could be acquired by also focusing on promoting the provision of ecosystem services. Finally, householder collaboration could be encouraged by accommodating desires for ownership and privatisation of domestic gardens. This could be respectively achieved by permitting flexibility regarding the biodiversity favourable garden management undertaken and separating conjoined domestic gardens with hedgerows.

The influence of small gradients of altitude (0-500 meters) and order (1st to 4th) in the spatial distribution of mollusk communities was studied, based on 40 samples collected in a watershed of a temperate climate region, in Brazil. Richness was higher in lower ranges of altitude (0-100), and increased with the increase of orders, independently of altitude. However, composition and proportional abundance of species of the communities were not structured by the environmental gradients. The small influence of landscape factors on the spatiality of many abiotic factors, and the tolerance of many species to variations in the environmental factors analyzed determined these results. The proximity of the lower of altitudes with a transitional relief area, and the large width of the 4th order streams, which favored a higher number of ecological niches, provided higher complexity to the sites localized in these areas, allowing the occurrence of higher richness. The existence of patchy spatial structured pattern in good environmental conditions determined the absence of the proportional abundance of species. However, few landscape heterogeneity and possibly, interference of vertebrate vectors in the dispersion of the freshwater mollusks hinder to find clear patterns of spatial distribution. / A influência de pequenos gradientes de altitude (0-500 m) e ordem (1ª a 4ª) na distribuição espacial das comunidades de moluscos foi estudada, com base em 40 amostras coletadas em uma bacia hidrográfica, localizada em região de clima temperado, no Brasil. A riqueza foi maior nas faixas mais baixas de altitude (0-100), e aumentou com o aumento das ordens, independentemente da altitude. No entanto, a composição e abundância proporcional de espécies das comunidades não foram estruturadas pelos gradientes ambientais. A pequena influência dos fatores de paisagem analisados sobre a espacialidade de muitos fatores abióticos, e a tolerância de muitas espécies às variações dos fatores ambientais analisados, determinaram esses resultados. A localização das áreas de altitude mais baixas em uma região de transição de relevo e a maior largura dos rios de 4ª ordem, a qual favorece a existência de um maior número de nichos ecológicos, determinaram maior heterogenidade ambiental, permitindo a ocorrência de maior riqueza. A existência de locais com condições ambientais favoráveis a cada espécie em particular sem estruturação espacial refletiu-se na falta de estruturação das comunidades, quanto a abundância proporcional de espécies. No entanto, a poucas heterogeneidade espacial e, possivelmente, a interferência de vetores vertebrados na dispersão dos moluscos de água doce, impediram encontrar padrões mais claros de distribuição espacial.