Наукові горизонти (Apr 2024)
Assessment of the impact of COP decisions on biodiversity and ecosystems
Abstract
The relevance of the study is conditioned by the fact that any anthropogenic load or economic activity has an impact on the functioning of natural ecosystems, as demonstrated by the widespread practice of oil palm expansion. The purpose of this study was to develop methods for assessing strategies that play an important role in strengthening measures to protect biodiversity and ecosystems in Africa and Latin America, considering the impact of the decisions of the United Nations Climate Change Conference. The study considers the materials of various international organisations on the problems of biodiversity related to climate crises, inefficient territorial planning, expansion of land for growing crops that deplete the soil or reduce the area of land needed to accommodate biota. The paper presents a sequence of steps to assess the impact of the decisions of the United Nations Climate Change Conference on biodiversity and ecosystems. The aspects of conservation of biodiversity and ecosystems in the context of the expansion of palm plantations are substantiated. The indicators of the ratio between the available land area for palm oil cultivation and the area threatening to reduce the biodiversity of Africa are analysed. Environmental solutions are substantiated, which correspond to the provisions of the United Nations Climate Change Conference in the context of biodiversity and ecosystem conservation, taking into account the expansion of large areas for palm plantations in Colombia. The practical significance of this study lies in the development of a methodology for the economic and mathematical assessment of the decisions of the United Nations Climate Change Conference, which affect the conservation of biodiversity and ecosystems, and are the driving mechanism in creating an effective control system for tracking oil palm plantations, territorial development with the least environmental losses and high economic efficiency
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