Trends and knowledge gaps on ecological restoration research in the Brazilian Atlantic Forest

RESTORATION ECOLOGY(2022)

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摘要
Given the current global environmental crisis, restoring degraded ecosystems stands out among the nature-based solutions to mitigate climate change, reestablish ecosystem services, and maintain biodiversity and human well-being. The high biodiversity of the Atlantic Forest (AF) and its severe degradation turned it into a "restoration hotspot." We performed a bibliometric analysis of the research on restoration of the Brazilian AF to identify thematic trends, potential gaps, as well as networks and benefits of collaboration. We also explored the spatial distribution of degradation, restoration science, and practice within the AF. We analyzed 932 articles on the issue from the Web of Science platform (1990-2020). Publications abruptly increased in the last 15 years, first by Brazilian groups and later in collaboration with foreign groups. International collaboration increased the probability of highly cited articles. Topics addressed have changed greatly in their relative position over time, likely due to scientific advances refuting theories or invalidating failed techniques. Natural regeneration was the main trending topic, while forest succession was the main emerging topic, and ecosystem services appeared as a trending topic. Research and restoration initiatives were both unevenly distributed throughout the AF region, with the southeastern region of Brazil standing out (60% of publications). The percentage of the original AF undergoing restoration is very low in all regions, regardless of scientific publications or AF extent remaining. The knowledge gaps pointed-climate change and functional traits-should drive priorities for research funding, aiming to provide robust evidence to support decision-making processes as well as restoration practices.
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关键词
bibliometric analysis, deforestation, ecosystem services, forest restoration, functional traits, natural regeneration, restoration policies, scientific collaboration networks
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