Acquiring information about the environment is a key step during each study in the field of environmental biology at different levels, from an individual species to community and biome. However, obtaining information about the environment is frequently difficult because of, for example, the phenological timing, spatial distribution of a species or limited accessibility of a particular area for the field survey. Moreover, remote sensing technology, which enables the observation of the Earth’s surface and is currently very common in environmental research, has many limitations such as insufficient spatial, spectral and temporal resolution and a high cost of data acquisition. Since the 1990s, researchers have been exploring the potential of different types of unmanned aerial vehicles (UAVs) for monitoring Earth’s surface. The present study reviews recent scientific literature dealing with the use of UAV in environmental biology. Amongst numerous papers, short communications and conference abstracts, we selected 110 original studies of how UAVs can be used in environmental biology and which organisms can be studied in this manner. Most of these studies concerned the use of UAV to measure the vegetation parameters such as crown height, volume, number of individuals (14 studies) and quantification of the spatio-temporal dynamics of vegetation changes (12 studies). UAVs were also frequently applied to count birds and mammals, especially those living in the water. Generally, the analytical part of the present study was divided into following sections: (1) detecting, assessing and predicting threats on vegetation, (2) measuring the biophysical parameters of vegetation, (3) quantifying the dynamics of changes in plants and habitats and (4) population and behaviour studies of animals. At the end, we also synthesised all the information showing, amongst others, the advances in environmental biology because of UAV application. Considering that 33% of studies found and included in this review were published in 2017 and 2018, it is expected that the number and variety of applications of UAVs in environmental biology will increase in the future.
The increasing human pressure on the environment requires effective protection activities. One way to stop the degradation of natural resources is the presence of woody vegetation networks, mainly linear in character, called linear woody features, greenways or tree belts. These objects, thanks to the many natural and economic functions they serve, enable the realization of sustainable development policy. To properly design a greenway network, the natural conditions and degree of environmental degradation in a given area must first be evaluated. Based on these data, it is possible to determine appropriate afforestation needs. To evaluate the ability of a given area to meet the requirements of greenway functions, we propose a new computer modeling system - a tree belt modeling (TBM). TBM defines the availability of tree belt functions in the planned network and is one of preparation stages in the design of an optimal greenway structure. In this work, to analyze the studied area potential, application of a cadastral dataset was proposed. Thanks to this approach, the obtained results may be related to specific plot borders, which is optimal for greenway construction. To automatize the process of analysis, the TBM was implemented into an ArcGIS toolbox. The result of using this toolbox is a tree belt functions geodatabase. This database contains information about the available functions in the analyzed lines that are potential sites for afforestation. This solution, both at the methodological and technological levels, may significantly increase the effectiveness of greenway planning and thus contribute to more effective activities for sustainable development.
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