Functional Microbiomes II, Volume 68 in the Advances in Ecological Research series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Chapters include Investigating the core microbiome concept: Daphnia as a case study and Soil Microbiome Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in Advances in Ecological Research series Includes the latest information on Managing Conflict in Agricultural, Urban and Tropical Ecosystems

Advances in Ecological Research, Volume 69 in this ongoing serial, highlights new advances in the field with this new volume presenting interesting chapters written by an international board of authors. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Advances in Ecological Research

The growing need for sustainable solutions prompts concerns on sustainable business practices, using new intelligent technologies. Artificial intelligence offers effective solutions for sustainability in environmental science while tackling challenges like climate change, resource depletion biodiversity erosion, and threats to planet health. It is essential to understand how artificial intelligence technologies can be leveraged for environmental science comprehension. Maintaining a Sustainable World in the Nexus of Environmental Science and AI offers a thorough comprehension of the nexus of environmental science and artificial intelligence, and its impact on sustainability. By offering solutions for sustainable development, this book displays state-of-the-art solutions, provide practical goals, and explore ethical issues of AI implementation. This book covers topics such as marine environments, climate change prediction and mitigation, urban planning, and renewable energy, and is a valuable resource for business owners, industry professionals, environmental scientists, computer engineers, academicians, and researchers.

Intelligent technologies have vastly improved the efficiency of healthcare industries and intersections of law and governance. Computational intelligence provides effective tools for data management, contract analysis, legal research, and algorithm development. However, with the integration of computational intelligence in health governance, considerable legal concerns beg further exploration. Intersections of Law and Computational Intelligence in Health Governance examines computational intelligence related to healthcare and governance approaches. It addresses issues of healthcare data analysis and storage by presenting solutions using medical computational intelligence techniques. This book covers topics such as healthcare accessibility, medical law, deep learning, and drug discovery and classification, and is a valuable resource for lawyers, policy makers, healthcare workers, medical professionals, academicians, and researchers.

The global demand for clean energy solutions the urgency of addressing climate change continue to intensify, and as such, the need for innovative approaches becomes increasingly paramount. However, navigating the complex landscape of clean energy production and sustainability presents significant challenges. Traditional methods often fall short in efficiently optimizing renewable energy systems and mitigating environmental impacts. Moreover, the integration of artificial intelligence (AI) into the energy sector remains underexplored, despite its potential to revolutionize operations and drive sustainable development. AI Applications for Clean Energy and Sustainability emerges, working to tackle these pressing issues. This comprehensive volume delves into the transformative power of AI in revolutionizing clean energy production, distribution, and management. By harnessing machine learning algorithms, data analytics, and optimization techniques, the book offers innovative solutions to enhance the efficiency, reliability, and scalability of renewable energy systems. Through real-world case studies and practical examples, it illustrates AI's potential to optimize energy infrastructure, monitor marine ecosystems, and predict climate change impacts, thereby paving the way for a more sustainable future.

The authors in this volume make a case for LTSER’s potential in providing insights, knowledge and experience necessary for a sustainability transition. This expertly edited selection of contributions from Europe and North America reviews the development of LTSER since its inception and assesses its current state, which has evolved to recognize the value of formulating solutions to the host of ecological threats we face. Through many case studies, this book gives the reader a greater sense of where we are and what still needs to be done to engage in and make meaning from long-term, place-based and cross-disciplinary engagements with socio-ecological systems.

"In Rio Grande do Sul, Southern Brazil, there are hundreds of Eucalyptus forest farms for pulp production distributed in several municipalities. In these pulpwood production farms, a major forestry restoration project is underway for Permanent Preservation Areas, which have peculiarities that may favor or hinder restoration. In this compilation, in order to search for alternatives for the restoration of these Permanent Preservation Areas, the planting of seedlings of native species in nuclei is implemented and evaluated as an alternative technique to traditional reforestation with total area plantation. Suitable techniques for forest restoration in mined areas are also explored, with the goal of attaining environmental sustainability for the bauxite mining in the region. Thus, by monitoring of mined and restored areas, 146 native species of the Atlantic Forest were found, 61 in the planting of seedlings, 97 in the inventories for evaluation of these plantings and 92 in natural regeneration. The authors set out to elucidate the underlying processes modeled by diversity and community composition with respect to above ground biomass during succession in an Amazon forest in order to devise better passive restoration plans. 45 20m x 50m (1000 m2) plots were sampled across three sites in secondary forests, having different stand ages after shifting cultivation, and an old-growth forest located in the Northern Amazon forest, Venezuela. One study discusses how, due to the environmental heterogeneity conditions, active restoration measures are fundamental in degraded areas where natural regeneration is limited, mainly due to the absence of fragments in the landscape. Finally, it is emphasized that passive restoration is playing an important role in the ecosystem services recovery at local-scale. In the penultimate study, the authors compare the floristic composition and structure of the natural regeneration stratum of a 23-year-old restored forest with an adjacent dense ombrophilous forest. For this purpose, 60 plots with dimensions of 3x3 m (9m p2 s) were equally and systematically distributed in these two areas. All shrub-tree individuals with height greater than or equal to 30 cm and circumference at breast height 15 cm in these plots were included and their heights and diameter at ground level were measured. Lastly, the dynamics of soil use and coverage in a region under the influence of mining activities are explored. This region is located in Minas Gerais state, more specifically in the municipalities of Säao Sebastiäao da Vargem Alegre and Miraâi, both located in Zona da Mata Mineira"--