[enter Paper TitlThe Potential Role of the Artificial Intelligence in Combating Climate Change and Natural Resources Management: Political, Legal and Ethical Challengese]

2021 ◽  
Author(s):  
Grassroots Journal of Natural Resources
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Natural Resources ◽  
Potential Role ◽  
Natural Resources Management ◽  
Resources Management

scholarly journals The Potential Role of the Artificial Intelligence in Combating Climate Change and Natural Resources Management: Political, Legal and Ethical Challenges

2021 ◽  
Vol 4 (3) ◽  
pp. 111-131
Author(s):  
Olena Lozo ◽  
Oleksii Onishchenko
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Natural Resources ◽  
Social Life ◽  
Early Stage ◽  
Legal Regulation ◽  
Natural Resources Management ◽  
Resources Management ◽  
The Impact

The aim of the article is to study the role of artificial intelligence (AI) in solving current issues of climate change, environmental protection and natural resources management. The advantages and threats of using AI for the development of political and legal parameters for ensuring the safe and effective implementation of technological system, as well as ensuring sustainable control over its functioning and development trends, are analyzed. The relevance of the topic is substantiated by the fact that the legislative basis in this area is at the early stage of formation, while the scale of the impact of AI on all the aspects of social life may be impossible to accurately foresee. A special attention is paid to the analysis of the legal regulation of these issues in the context of European Union and Ukraine. The present work is one of the few that addresses three issues: climate change, the growing influence of artificial intelligence, and the possibility of legal regulation of the use of AI to solve urgent environmental problems without threatening the fundamental human rights and freedoms.

scholarly journals Australia?s Biodiversity and Climate Change

2010 ◽  
Vol 16 (3) ◽  
pp. 221
Author(s):  
David Goodall
Keyword(s):  
Climate Change ◽  
Ecosystem Services ◽  
Natural Resources ◽  
Biodiversity Conservation ◽  
Climate Changes ◽  
Natural Resources Management ◽  
Ecological Processes ◽  
Resources Management ◽  
Number Of Species ◽  
Ministerial Council

This volume is the result of an initiative by the Natural Resources Management Ministerial Council, to assess the vulnerability of Australia?s biodiversity to climate change. It may be said at once that this remit is interpreted, not as referring to changes in ?biodiversity? as usually understood ? the number of species present ? but rather as covering all responses of organisms and the ecosystems in which they participate to the climate changes now in progress and in prospect. This extension of ?biodiversity? is clarified by the statement that ?modern biodiversity conservation . . . should ensure . . . the maintenance of ecological processes and the delivery of ecosystem services?.

Opportunities and Challenges for Innovative Financing Mechanisms for Climate Change Adaptation and Mitigation, 2021-2050

2020 ◽  
Vol 36 (4) ◽  
Author(s):  
Pham Thu Thuy ◽  
Nguyen Dinh Tien ◽  
Nguyen Thuy Anh ◽  
Nguyen Van Anh ◽  
Dao Thi Linh Chi ◽  
...  
Keyword(s):  
Climate Change ◽  
Natural Resources ◽  
Climate Adaptation ◽  
Natural Resources Management ◽  
Policy Recommendations ◽  
Resources Management ◽  
Funding Sources ◽  
Financing Mechanism ◽  
Sustainable Finance ◽  
Adaptation And Mitigation

Sustainable finance is essential for the implementation of adaptation and mitigation policies on natural sources and climate change. However, global and domestic finance for sustainable natural resources and forest management has been scared and unable to meet the practical needs for the last decades. Identifying innovative financing mechanism for sustainable natural resources management and climate adaptation and mitigation has been considered by globally communities as well as Vietnamese government as an important priority. This paper analyses new and innovative financing mechanisms for 2021- 2050, that are being considered and developed by a large number of countries, discusses opportunities and constraints for translating these mechanisms to the ground, and proposes policy recommendations for Vietnam to better access to these new funding sources.

Artificial Intelligence Applied to Natural Resources Management

2012 ◽  
pp. 1566-1582 ◽  
Author(s):  
Diana F. Adamatti ◽  
Marilton S. de Aguiar
Keyword(s):  
Artificial Intelligence ◽  
Data Analysis ◽  
Cellular Automata ◽  
Natural Resources ◽  
Natural Resources Management ◽  
Multi Agent Systems ◽  
Resources Management ◽  
Optimization And Control ◽  
Multi Agent ◽  
And Control

There are three computational challenges in natural resources management: data management and communication; data analysis; and optimization and control. The authors believe these three challenges can be dealt with Artificial Intelligence (AI) techniques, because they can manage dynamic activities in natural resources. There are several AI techniques such as Genetic Algorithms, Neural Networks, Multi-Agent Systems or Cellular Automata. In this chapter, the authors introduce some applications of Cellular Automata (CA) and Multi-Agent-Based Simulation (MABS) in natural resources management, because these are areas that the authors approach in their research and these areas can contribute to solve the three computational challenges. Specifically, the CA technique can face the challenge of data analysis because it can be extrapolated and new knowledge will be acquired from an area not known or experienced. Regarding the MABS technique, it can solve the challenge of optimization and control, because it works in an empiric way during the decision-making process, based on experiments and observations.

Artificial Intelligence Applied to Natural Resources Management

2010 ◽  
pp. 313-330
Author(s):  
Diana F. Adamatti ◽  
Marilton S. de Aguiar
Keyword(s):  
Artificial Intelligence ◽  
Data Analysis ◽  
Cellular Automata ◽  
Natural Resources ◽  
Natural Resources Management ◽  
Multi Agent Systems ◽  
Resources Management ◽  
Optimization And Control ◽  
Multi Agent ◽  
And Control

There are three computational challenges in natural resources management: data management and communication; data analysis; and optimization and control. The authors believe these three challenges can be dealt with Artificial Intelligence (AI) techniques, because they can manage dynamic activities in natural resources. There are several AI techniques such as Genetic Algorithms, Neural Networks, Multi-Agent Systems or Cellular Automata. In this chapter, the authors introduce some applications of Cellular Automata (CA) and Multi-Agent-Based Simulation (MABS) in natural resources management, because these are areas that the authors approach in their research and these areas can contribute to solve the three computational challenges. Specifically, the CA technique can face the challenge of data analysis because it can be extrapolated and new knowledge will be acquired from an area not known or experienced. Regarding the MABS technique, it can solve the challenge of optimization and control, because it works in an empiric way during the decision-making process, based on experiments and observations.

NATURAL RESOURCES MANAGEMENT RESEARCH IN THE CGIAR: THE ROLE OF THE TECHNICAL ADVISORY COMMITTEE

2005 ◽  
Vol 41 (1) ◽  
pp. 1-19 ◽  
Author(s):  
R. R. HARWOOD ◽  
A. H. KASSAM ◽  
H. M. GREGERSEN ◽  
E. FERERES
Keyword(s):  
Natural Resources ◽  
Advisory Committee ◽  
Agricultural Research ◽  
Natural Resources Management ◽  
Research Strategies ◽  
Resources Management ◽  
Recent Developments ◽  
Technical Advisory Committee ◽  
Consultative Group

Judicious management of our natural resources is a major pillar of sustainable agriculture, broadly defined. It is, therefore, unfortunate that, until now, research in natural resources management (NRM) has not received sufficient support, or the recognition that other agricultural research topics have had. The Consultative Group on International Agricultural Research (CGIAR) recognized, early on, the complementarities and synergies between NRM research and other themes, notably genetic improvement, and its research Centres have pursued some vigorous programmes for many years. The Technical Advisory Committee (TAC) to the CGIAR was supportive of such programmes from the start and provided advice to the CGIAR System on NRM research strategies. Highlights of such advice over the last 20 years are discussed, including the ecoregional approach, the 1996 study of Priorities and Strategies for Soil and Water Research, and the CGIAR Vision and Strategy of 2000. Recent developments at the Centres leading to the promotion of integrated approaches to NRM (INRM) are described, and a set of priority areas in INRM research for future CGIAR activities is presented.

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