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Result-based payments (RBPs) reward land users for conservation outcomes and are a promising alternative to standard payments, which are targeted at specific land use measures. A major barrier to the implementation of RBPs, particularly for the conservation of mobile species, is the substantial monitoring cost. Passive acoustic monitoring may offer promising opportunities for low-cost monitoring as an alternative to human observation. We develop a costing framework for comparing human observation and passive acoustic monitoring and apply it to a hypothetical RBP scheme for farmland bird conservation. We consider three different monitoring scenarios: daytime monitoring for the whinchat and the ortolan bunting, nighttime monitoring for the gray partridge and the common quail, and day-and-night monitoring for all four species. We also examine the effect of changes in relevant parameters (such as participating area, travel distance and required monitoring time) on the cost comparison. Our results show that passive acoustic monitoring is still more expensive than human observation for daytime monitoring. In contrast, passive acoustic monitoring has a cost advantage for nighttime as well as day-and-nighttime monitoring in all considered scenarios.
Being one of Ukraine’s major sources of economic revenue, the country’s agro-industrial sector proved, at the same time, to be perhaps the most vulnerable branch of economy in the times of political and social turbulence. While the state is searching for the ways of strengthening its positions at the global market, its agricultural potential to a considerable extent remains both under- and misused. Based on comprehensive historic analysis, this research establishes the origins of the current situation and assesses the possibilities of positive change. Utilizing the experience of other European countries’ with regards to making agriculture more sustainable and competitive in the modern world, the author describes the ways of applying these practices against the background of Ukrainian socio-political system. Drawing knowledge from the experience of Strategic Environmental Assessment (SEA) worldwide, this research aims at harmonizing their methods with evaluation demands in Ukrainian agriculture. It discusses and criticizes the existing assessment approach and suggests measures necessary for making it more comprehensive. The author offers profound analysis of Ukrainian agricultural policies to date, reviews national regulating directives and outlines country-specific challenges as to improving agricultural sustainability. In order to provide Ukrainian decision-makers with a clear and all-round tool for assessing the advances and failures of the acting state policies in the AIS, a set of reliable indices for evaluating agricultural performance has been developed by the author, which is largely based on the widely-acknowledged Driving Force – State – Response framework offered by the Organization of Economic Cooperation and Development (OECD) and Human Development Index (HDI) from United Nations Development Programme (UNDP) methodology. At the same time, the newly developed set takes into consideration the peculiarities of Ukrainian socio-political setting. Three major categories of indicators were chosen as a backbone for further elaboration, namely economic, social and political. Therefrom results a list of twelve relevant indices. At the concluding stage of the research, they were processed and transformed to three top-level indices: Economic Development Index, Environmental Situation Index and Social Development Index. These three indices are intended for clear and illustrative presentation of the current situation for high level decision-makers and governmental bodies. Methodology utilized for the purposes of this research with necessary adaptation and fine tuning can also be used with other set of initial data, indicators and indices. Application field can also be downscaled from the highest (national) to the lowest (regional) level by adapting the indicator-indices system to the initial input data. This will considerably simplify the compilation and presentation of regional reports and will provide transparency for interregional comparison within the country.