Essays about: "edaphic factors"

Found 5 essays containing the words edaphic factors.

  1. 1. Riparian plant biodiversity and community composition of ditches and straightened streams : identifying key environmental drivers in a boreal forest setting

    University essay from SLU/Dept. of Forest Ecology and Management

    Author : Rasmus Staaf; [2024]
    Keywords : artificial waterways; riparian zone; novel ecosystems; ; forestry; ditch network maintenance; species richness; hill-diversity; drainage ditches; coarse woody debris; ditch cleaning; ecology;

    Abstract : Modified ecosystems are typically seen as degraded and having no ecological value. In many cases, the modification of the ecosystem was done more than 100 years ago and may have had time to recover and become a refugia for species that were once more common in the landscape. READ MORE

  2. 2. Effects on natural seed regenerated Silver birch (Betula pendula Roth) and Downey birch (Betula pubescens Ehrh) by mechanical soil scarification and environmental factors : påverkan på naturligt fröföryngrad Glasbjörk (Betula pubescens Ehrh) och Hängbjörk (Betula pendula Roth) av mekanisk markberedning och omgivande faktorer

    University essay from SLU/Dept. of Forest Ecology and Management

    Author : Oskar Karlsson; [2022]
    Keywords : natural birch regeneration; Birch seed regeneration; soil scarification;

    Abstract : The awareness of forest biodiversity as well as the demand for a higher proportion of deciduous tree species in Swedish forests increases. As such, focus is shifting towards the management of naturally seed regenerated Silver birch (Betula pendula Roth) and Downey birch (Betula pubescens Ehrh). READ MORE

  3. 3. Above- and belowground carbon stocks and effects of enrichment planting in a tropical secondary lowland dipterocarp rainforest

    University essay from SLU/Dept. of Forest Ecology and Management

    Author : Joel Jensen; [2019]
    Keywords : Restoration; tree diversity; biodiversity; soil edaphic factors; functional species groups; liberation; forest degradation;

    Abstract : The intact tropical rainforests are rapidly being degraded and subsequently converted to other land uses, with associated greenhouse gas emissions and loss of biodiversity. It is imperative that the effects of such conversions and large-scale restoration efforts on forest structure and ecosystem services are understood to effectively be able to counteract the negative consequences of deforestation and forest degradation. READ MORE

  4. 4. Ecological and Edaphic Correlations of Soil Invertebrate Community Structure in Dry Upland Forests of Eastern Africa

    University essay from Högskolan i Skövde/Institutionen för biovetenskap

    Author : Karl Mauritsson; [2018]
    Keywords : Natural forests; plantation forests; Brachylaena-Croton forest; Cupressus lusitanica; Eucalyptus paniculata; exotic species; biodiversity; soil invertebrates; Berlese-Tullgren funnel; vertical structure; vegetation cover; vegetation density; litter quality; edaphic factors; soil pH; soil temperature; soil moisture; ANOVA; Multiple Linear Regression; Akaike’s Information Criterion;

    Abstract : Natural forests are characterised by great vegetation diversity and create habitats for a major part of Earth’s terrestrial organisms. Plantation forests, which are mainly composed of a few genera of fast-growing trees, constitute an increasing fraction of global forests, but they only partly compensate for loss of area, habitat and ecological functions in natural forests. READ MORE

  5. 5. Evaluating Multitemporal Sentinel-2 data for Forest Mapping using Random Forest

    University essay from Stockholms universitet/Institutionen för naturgeografi

    Author : Marc Nelson; [2017]
    Keywords : Forest classification; multitemporal; sentinel-2; sentinel 2; classification; forest; random forest; machine learning; cadasterENV; sweden; remote sensing; GIS; geomatics; land cover;

    Abstract : The mapping of land cover using remotely sensed data is most effective when a robust classification method is employed. Random forest is a modern machine learning algorithm that has recently gained interest in the field of remote sensing due to its non-parametric nature, which may be better suited to handle complex, high-dimensional data than conventional techniques. READ MORE