scholarly journals Beyond Calendars and Maps: Rethinking Time and Space for Effective Knowledge Governance in Protected Areas

Land ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 293
Author(s):  
Claudia Múnera-Roldán ◽  
Dirk Roux ◽  
Matthew Colloff ◽  
Lorrae van Kerkhoff
Keyword(s):  
Decision Making ◽  
Protected Areas ◽  
Spatial Scales ◽  
Knowledge Based ◽  
Temporal Aspects ◽  
Response Capacity ◽  
Management Plans ◽  
Decision Making Processes ◽  
Knowledge Governance ◽  
Temporal Dimensions

Protected area managers rely on relevant, credible, and legitimate knowledge. However, an increase in the rate, extent, severity, and magnitude of the impacts of drivers of change (e.g., climate change, altered land use, and demand for natural resources) is affecting the response capacity of managers and their agencies. We address temporal aspects of knowledge governance by exploring time-related characteristics of information and decision-making processes in protected areas. These areas represent artefacts where the past (e.g., geological periods and evolutionary processes), the present (e.g., biodiversity richness), and the future (e.g., protection of ecosystem services for future generations) are intimately connected and integrated. However, temporal horizons linked with spatial scales are often neglected or misinterpreted in environmental management plans and monitoring programs. In this paper, we present a framework to address multi-dimensional understandings of knowledge-based processes for managing protected areas to guide researchers, managers, and practitioners to consider temporal horizons, spatial scales, different knowledge systems, and future decisions. We propose that dealing with uncertain futures starts with understanding the knowledge governance context that shapes decision-making processes, explicitly embracing temporal dimensions of information in decision-making at different scales. We present examples from South Africa and Colombia to illustrate the concepts. This framework can help to enable a reflexive practice, identify pathways or transitions to enable actions and connect knowledge for effective conservation of protected areas.

Comprehensive Energy Systems Analysis Support Tools for Decision Making

2010 ◽  
pp. 272-295
Author(s):  
C. Cosmi ◽  
S. Di Leo ◽  
S. Loperte ◽  
F. Pietrapertosa ◽  
M. Salvia ◽  
...  
Keyword(s):  
Decision Making ◽  
Environmental Planning ◽  
Spatial Scales ◽  
Energy Systems ◽  
Cost Effective ◽  
Sustainable Resource Management ◽  
International Projects ◽  
Planning Methods ◽  
Decision Making Processes ◽  
Environment Agency

Sustainability of energy systems is a common priority that involves key issues such as security of energy supply, mitigation of environmental impacts - the energy sector is currently responsible for 80% of all EU greenhouse gas emissions (European Environment Agency, 2007), contributing heavily to the overall emissions of local air pollutants - and energy affordability. In this framework, energy planning and decision making processes can be supported at different stages and spatial scales (regional, national, pan-European, etc.) by the use of comprehensive models in order to manage the large complexity of energy systems and to define multi-objective strategies on the medium-long term. This Chapter is aimed to outline the value of model-based decision support systems in addressing current challenges aimed to carry out sustainable energy systems and to diffuse the use of strategic energy-environmental planning methods based on the use of partial equilibrium models. The proposed methodology, aimed to derive cost-effective strategies for a sustainable resource management, is based on the experiences gathered in the framework of the IEA-ETSAP program and under several national and international projects.

scholarly journals Utility of primary scientific literature to environmental managers: an international case study on coral-dominated marine protected areas

2017 ◽  
Author(s):  
Chris Cvitanovic ◽  
Christopher Fulton ◽  
Shaun Wilson ◽  
Lorrae van Kerkhoff ◽  
Ingrid Cripps ◽  
...  
Keyword(s):  
Decision Making ◽  
Protected Areas ◽  
Marine Protected Areas ◽  
Scientific Literature ◽  
Scientific Information ◽  
Limiting Factor ◽  
Decision Making Process ◽  
Management Plans ◽  
Efficient Integration

Integration of scientific information into the decision-making process for the management of marine resources remains a significant challenge, with the inaccessibility of primary scientific literature to environmental practitioners identified as a key limiting factor. Here, we quantify the use of primary scientific literature in environmental management plans, and explore potential barriers to the efficient integration of such scientific information into the decision-making process. Through a case study of coral dominated Marine Protected Areas (MPAs) spanning three countries (Australia, Kenya and Belize), we find that primary scientific literature represents only 14% of information cited in management plans. Such a low proportion is likely to be symptomatic of several issues regarding the accessibility of primary scientific literature to MPA managers, such as: 1. Long publication times for articles (average 40.2 ± 1.8 months); 2. Subscription-only access (up to 56% of articles behind paywalls); and/or 3. Poor articulation of management implications (only 19% of articles provided clear outcomes relevant to management). Such impediments can undermine the adaptive governance of MPAs, so we suggest improvements to knowledge transfer among scientists and managers via a diversity of approaches including knowledge brokers, boundary organisations, knowledge co-production and management-orientated summaries in research articles.

scholarly journals From Data to Knowledge Engineering for Cybersecurity

2019 ◽  
Author(s):  
Gerardo I. Simari
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Research And Development ◽  
Knowledge Engineering ◽  
Data Sources ◽  
Daily Lives ◽  
Cyber Threats ◽  
Knowledge Based ◽  
Decision Making Processes ◽  
Near Future

Data present in a wide array of platforms that are part of today's information systems lies at the foundation of many decision making processes, as we have now come to depend on social media, videos, news, forums, chats, ads, maps, and many other data sources for our daily lives. In this article, we first discuss how such data sources are involved in threats to systems' integrity, and then how they can be leveraged along with knowledge-based tools to tackle a set of challenges in the cybersecurity domain. Finally, we present a brief discussion of our roadmap for research and development in the near future to address the set of ever-evolving cyber threats that our systems face every day.

scholarly journals Social Participation in Management Councils of Protected Areas: Normative advances and the perspective of ICMBio Environmental officers

2020 ◽  
Vol 23 ◽  
Author(s):  
Deborah Santos Prado ◽  
Luciana Gomes de Araujo ◽  
Paula Chamy ◽  
Ana Carolina Esteves Dias ◽  
Cristiana Simão Seixas
Keyword(s):  
Decision Making ◽  
Protected Areas ◽  
Social Participation ◽  
Protected Areas Management ◽  
The Social ◽  
Decision Making Processes ◽  
Environmental Causes ◽  
Social Environmental ◽  
Remarkable Progress

Abstract Management councils of Protected Areas are an important tool to the exercise of social participation of individuals and groups struggling for social-environmental causes in Brazil’s democracy. This paper aims to integrate the main regulations guiding the social participation in Management Councils of Protected Areas in Brazil and the perception of managers and technicians in order to understand the process of elaboration of the rules, the behind the scenes, and negotiations. Our findings highlight that social participation has been formally ensured in many aspects, revealing democratic advancements in the field of Protected Areas management in Brazil. However, despite remarkable progress, many challenges remain, including aspects of representation, independency, level of influence, and sharing power in decision-making processes. The outcomes of participation are ongoing processes of learning and negotiation, which are reflected in the improvement of the legal arrangements analyzed.

Data Management Maturity for Knowledge-Based Decision-Making

2018 ◽  
pp. 126-144 ◽  
Author(s):  
Joanna Palonka
Keyword(s):  
Decision Making ◽  
Data Management ◽  
Third Sector ◽  
Quality Data ◽  
Management Decision ◽  
Decision Making Process ◽  
Faith Based ◽  
Knowledge Based ◽  
Management Decision Making ◽  
Decision Making Processes

Nowadays, information has been recognized as a strategic asset of an organization. There are numerous best practices for ensuring good quality data and establishing data management frameworks that are required to provide quality information for the management decision-making process. Unlike most data management studies, which focus on large enterprises and SMEs, this study deals with organizations from the third sector in Poland, comprising e.g. associations, foundations, faith-based organizations, etc. The aim of the chapter is to determine the organizations' maturity level of data management for decision-making processes in management. A survey was conducted to gather data from the organizations. The chapter utilizes samples that were collected from Slaskie Voivodship. The conclusions of the present research can help in creating and implementing a model of the data-driven decision-making process so that the operations of these organizations can be enhanced and improved.

Artificial Mind for Virtual Characters

2011 ◽  
pp. 182-201
Author(s):  
Iara Moema Oberg Vilela
Keyword(s):  
Decision Making ◽  
Driving Forces ◽  
Selection Mechanism ◽  
Knowledge Processing ◽  
Cognitive Sciences ◽  
Knowledge Based ◽  
Decision Making Processes ◽  
Multi Agent ◽  
Integrated Architecture ◽  
Agent Structure

This chapter discusses guidelines and models of Mind from Cognitive Sciences in order to generate an integrated architecture for an artificial mind that allows various behavior aspects to be simulated in a coherent and harmonious way, showing believability and computational processing viability. Motivations are considered the quantitative, driving forces of the action selection mechanism that guides behavior. The proposed architecture is based on a multi-agent structure, where reactive agents represent motivations (Motivation Agents) or actions (Execution Agents), and cognitive agents (Cognition Agents) embody knowledge-based attention, goal-oriented perception and decision-making processes. Motivation Agents compete for priority, and only winners can activate their corresponding Cognition Agents, thus filtering knowledge processing. Active Cognition Agents negotiate with each other to trigger a specific Execution Agent, which then may change internal and external states, displaying the corresponding animation. If no motivation satisfaction occurs, frustration is expressed by a discharge procedure. Motivations intensities are then accordingly decreased.

Comprehensive Energy Systems Analysis Support Tools for Decision Making

2011 ◽  
pp. 493-514
Author(s):  
C. Cosmi ◽  
S. Di Leo ◽  
S. Loperte ◽  
F. Pietrapertosa ◽  
M. Salvia ◽  
...  
Keyword(s):  
Decision Making ◽  
Environmental Planning ◽  
Spatial Scales ◽  
Energy Systems ◽  
Cost Effective ◽  
Sustainable Resource Management ◽  
International Projects ◽  
Planning Methods ◽  
Decision Making Processes ◽  
Environment Agency

Sustainability of energy systems is a common priority that involves key issues such as security of energy supply, mitigation of environmental impacts - the energy sector is currently responsible for 80% of all EU greenhouse gas emissions (European Environment Agency, 2007), contributing heavily to the overall emissions of local air pollutants - and energy affordability. In this framework, energy planning and decision making processes can be supported at different stages and spatial scales (regional, national, pan-European, etc.) by the use of comprehensive models in order to manage the large complexity of energy systems and to define multi-objective strategies on the medium-long term. This Chapter is aimed to outline the value of model-based decision support systems in addressing current challenges aimed to carry out sustainable energy systems and to diffuse the use of strategic energy-environmental planning methods based on the use of partial equilibrium models. The proposed methodology, aimed to derive cost-effective strategies for a sustainable resource management, is based on the experiences gathered in the framework of the IEA-ETSAP program and under several national and international projects.

Sign in / Sign up

Export Citation Format

Share Document