Ecological lessons from long-term studies in experimental forests
On the use of remote sensing techniques for monitoring spatio-temporal soil organic carbon dynamics in agricultural systems
Soil organic carbon (SOC) dynamics affect soil quality, agricultural productivity and atmospheric CO₂ concentration. Despite the need for spatial assessments of SOC content over time, reliable estimates from traditional field survey methods are limited by data availability; where measurements are often made at discrete point locations, at a coarse sample spacing or over a limited spatial extent.
Conservation of ecologically important and waterside areas with sustainable forage production
From April to September 2014 the field experiment to determine responsiveness of plants to a depth of sowing and the economic and environmental value of dry matter yield on ecologically important and/or waterside areas was carried out in the valley of the river Pesnica (Zamarkova). The experiment was designed as split-plot with four replications. The plants treatments on main plots were: alfalfa (
Organization of territory in conditions of economy globalization with the use of bio-energetic approaches
In course of the research there were formulated the concepts, content and the main principles of territory organization in conditions of economy globalization. Bio-energetic approaches to its basing were suggested and their essence was shown. Methods of territory organization with the use of these approaches were presented. Indicators of estimation of territory organization variants and formulae for their calculation and developed the algorithm of territory organization were also shown.
Post-1935 changes in forest vegetation of Grand Canyon National Park, Arizona, USA: Part 2--Mixed conifer, spruce-fir, and quaking aspen forests
This study examined changes in never-harvested mixed conifer (MCF), spruce-fir (SFF), and quaking aspen forests (QAF) in Grand Canyon National Park (GCNP), Arizona, USA based on repeat sampling of two sets of vegetation study plots, one originally sampled in 1935 and the other in 1984. The 1935 plots are the earliest-known, sample-intensive, quantitative documentation of forest vegetation over a Southwest USA landscape. Findings documented that previously described increases in densities and basal areas attributed to fire exclusion were followed by decreases in 1935-2004 and 1984-2005.
Seasonal and interannual variation in vegetation composition: Implications for survey design and data interpretation
Understanding how vegetation composition varies with season and interannual climate variability is important for any ecological research that uses vegetation data derived from surveys for the basis of inference. Misunderstanding this variation can influence land management and planning decisions, leading to poor implementation of biodiversity offsetting mechanisms, for example. We monitored plots (400 m²) grazed by livestock paired with adjacent ungrazed plots in derived native pastures four times a year over 2.5 years on the North‐West Slopes of New South Wales.
Assessing Administrative Laws for Forestry Prescribed Burning in the Southern United States: A Management-Based Regulation Approach
SUMMARYPrescribed burning in forestry is a valuable land management tool that has been extensively used in Australia, Eurasia, and North America. Nevertheless, fire is inherently dangerous and may impose risk upon humans, properties, and other natural resources. With the case of southern United States, the objective of this study is to assess the trend of administrative law reforms for forestry prescribed burning within the theoretical framework of management-based regulation.
Determinants of land use change: evidence from a community study in Honduras
This study investigates the micro-determinants of land use change usingcommunity, household and plot histories, an ethnographic method that constructs paneldata from systematic oral recalls. A 20-year historical timeline (1975-1995) isconstructed for the village of La Lima in central Honduras, based on a random sample of97 plots. Changes in land use are examined using transition analysis and multinomiallogit analysis.