scholarly journals Satellite remote sensing, biodiversity research and conservation of the future

2014 ◽  
Vol 369 (1643) ◽  
pp. 20130190 ◽  
Author(s):  
Nathalie Pettorelli ◽  
Kamran Safi ◽  
Woody Turner
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Global Environmental Change ◽  
Well Being ◽  
Management Decision ◽  
Ecosystem Responses ◽  
Global Environmental ◽  
Management Decision Making ◽  
Decision Making Processes ◽  
New Research

Assessing and predicting ecosystem responses to global environmental change and its impacts on human well-being are high priority targets for the scientific community. The potential for synergies between remote sensing science and ecology, especially satellite remote sensing and conservation biology, has been highlighted by many in the past. Yet, the two research communities have only recently begun to coordinate their agendas. Such synchronization is the key to improving the potential for satellite data effectively to support future environmental management decision-making processes. With this themed issue, we aim to illustrate how integrating remote sensing into ecological research promotes a better understanding of the mechanisms shaping current changes in biodiversity patterns and improves conservation efforts. Added benefits include fostering innovation, generating new research directions in both disciplines and the development of new satellite remote sensing products.

scholarly journals STRUCTURAL MODEL DEVELOPMENT BASED ON EXPERT-PSYCHOLOGICAL APPROACH IN MANAGEMENT DECISION-MAKING PROCESSES

2017 ◽  
Vol 2017 (2) ◽  
pp. 191-195
Author(s):  
Татьяна Карлова ◽  
Tatyana Karlova ◽  
Александр Бекмешов ◽  
Aleksandr Bekmeshov ◽  
Марианна Михайлова ◽  
...  
Keyword(s):  
Decision Making ◽  
Structural Model ◽  
Model Development ◽  
Management Decision ◽  
Psychological Approach ◽  
Management Decision Making ◽  
Decision Making Processes

scholarly journals The Importance Of Cooperation Between Local Representatives And Public Institutions In Management Decision-Making

2021 ◽  
Vol 03 (09) ◽  
pp. 1-9
Author(s):  
Makhsad Isabayev Bakhodirovich ◽  
Keyword(s):  
Decision Making ◽  
Political Institutions ◽  
Public Institutions ◽  
Management Decision ◽  
Scientific Article ◽  
Political Decision ◽  
Management Decision Making ◽  
Decision Making Processes ◽  
Elected Representatives ◽  
Political Decision Making

In this scientific article, international and national legislation on citizens decision-making processes has been investigated, to what extent is the importance of public control in the process of political decision-making, the implementation of citizens' participation in local government directly by itself or through elected representatives (political institutions). Also, practical proposals aimed at increasing the participation of public structures in decision-making were made.

Utilizing Amerindian Hunters' Descriptions to Guide the Production of a Vegetation Map

2016 ◽  
pp. 1110-1136
Author(s):  
Anthony R. Cummings ◽  
Jane M. Read ◽  
Jose M. V. Fragoso
Keyword(s):  
Local Level ◽  
Management Decision ◽  
Vegetation Types ◽  
Resource Managers ◽  
Environmental Attributes ◽  
Tropical Forest Management ◽  
Ecosystem Risk ◽  
Management Decision Making ◽  
Decision Making Processes ◽  
Vegetation Maps

Describing vegetation types is critical for managing natural resources and assessing ecosystem risk. Vegetation maps are historically produced by “Western experts,” often ignoring local-level groups critical to resource management. Indigenous hunters, as resource managers, have strong connections to their landscapes and their descriptions of vegetation within their homelands can be useful in the map-making process. This project examined the usefulness of vegetation descriptions from Rupununi, Southern Guyana Indigenous hunters in the map-making process and how their descriptions were influenced by biophysical environmental attributes. A Landsat TM and ASTER DEM merged imagery of the Rupununi was classified using Indigenous hunters' vegetation descriptions to train the classification and assess accuracy. Based on the hunters' vegetation descriptions an eleven-class map was produced that covered the main vegetation types they described. Whereas “expert” maps rely on organized forest inventory data, Indigenous hunters' vegetation classifications were influenced by their interactions with the biophysical environment. The final map shows that Indigenous hunters may be important partners in the map-making process and play key roles in tropical forest management decision-making processes.

scholarly journals Statistics and Artificial Intelligence-Based Pavement Performance and Remaining Service Life Prediction Models for Flexible and Composite Pavement Systems

2020 ◽  
Vol 2674 (10) ◽  
pp. 448-460
Author(s):  
Orhan Kaya ◽  
Halil Ceylan ◽  
Sunghwan Kim ◽  
Danny Waid ◽  
Brian P. Moore
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Prediction Models ◽  
Pavement Management ◽  
Pavement Performance ◽  
Management Decision ◽  
Performance Models ◽  
Remaining Service Life ◽  
Management Decision Making ◽  
Decision Making Processes

In their pavement management decision-making processes, U.S. state highway agencies are required to develop performance-based approaches by the Moving Ahead for Progress in the 21st Century (MAP-21) federal transportation legislation. One of the performance-based approaches to facilitate pavement management decision-making processes is the use of remaining service life (RSL) models. In this study, a detailed step-by-step methodology for the development of pavement performance and RSL prediction models for flexible and composite (asphalt concrete [AC] over jointed plain concrete pavement [JPCP]) pavement systems in Iowa is described. To develop such RSL models, pavement performance models based on statistics and artificial intelligence (AI) techniques were initially developed. While statistically defined pavement performance models were found to be accurate in predicting pavement performance at project level, AI-based pavement performance models were found to be successful in predicting pavement performance in network level analysis. Network level pavement performance models using both statistics and AI-based approaches were also developed to evaluate the relative success of these two models for network level pavement performance modeling. As part of this study, in the development of pavement RSL prediction models, automation tools for future pavement performance predictions were developed and used along with the threshold limits for various pavement performance indicators specified by the Federal Highway Administration. These RSL models will help engineers in decision-making processes at both network and project levels and for different types of pavement management business decisions.

scholarly journals Gender differences in senior management decision making in the New England Area Health Service

2004 ◽  
Vol 28 (1) ◽  
pp. 73
Author(s):  
Donna M Anderson
Keyword(s):  
Gender Differences ◽  
Decision Making ◽  
Health Service ◽  
New England ◽  
Management Decision ◽  
Senior Managers ◽  
Area Health Service ◽  
Management Decision Making ◽  
Decision Making Processes ◽  
Area Health

Data from a questionnaire administered to senior managers in the New England Area Health Service (NEAHS) was used to examine gender differences in decision-making processes. The study found that female managers were more likely to report that they included staff in decision-making processes. The small size of the population restricted the statistical analysis; more meaningful findings may result if the study were to be repeated using a larger population of senior managers.

scholarly journals Decision Making for Managing Community Flood Risks: Perspectives of United States Floodplain Managers

2021 ◽  
Author(s):  
Jenna Tyler ◽  
Abdul-Akeem Sadiq ◽  
Douglas S. Noonan ◽  
Rebecca M. Entress
Keyword(s):  
United States ◽  
Decision Making ◽  
Flood Management ◽  
The United States ◽  
Poverty Rate ◽  
Management Decision ◽  
Flood Risks ◽  
Management Decision Making ◽  
Decision Making Processes

AbstractTo reduce flood losses, floodplain managers make decisions on how to effectively manage their community’s flood risks. While there is a growing body of research that examines how individuals and households make decisions to manage their flood risks, far less attention has been directed at understanding the decision-making processes for flood management at the community level. This study aimed to narrow this research gap by examining floodplain managers’ perceptions of the quality of their community’s flood management decision-making processes. Data gathered from interviews with 200 floodplain managers in the United States indicate that most floodplain managers perceive their community’s flood management decision-making processes to be good. The results also indicate that communities participating in the Federal Emergency Management Agency’s Community Rating System, as well as communities with a higher level of concern for flooding and a lower poverty rate, are significantly more likely to report better flood management decision-making processes.

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