Search published articles


Showing 3 results for Jahanishakib


Volume 12, Issue 4 (Fall 2024)
Abstract

Aims: The absorption of atmospheric Carbon dioxide for Carbon sequestration plays a vital role in regulating the climate. This study aimed to economically evaluate Carbon absorption and Oxygen supply  in Kerman Province using ecosystem service modeling.
Materials & Methods: Terrestrial Carbon storage was assessed using InVEST software, considering aboveground biomass, belowground biomass, soil, and litter/ dead organic matter. Oxygen supply in the ecosystem was also calculated based on Carbon relationships. The economic valuation of Carbon and Oxygen supply was determined using the social cost of Carbon dioxide and replacement cost, respectively.
Findings: In 2021, Kerman Province was estimated to sequester 6,896,182.89 t.y-1 of Carbon and produce 18,481,770.36 t.y-1 of Oxygen. The economic value of Carbon sequestration and Oxygen supply in the Province was calculated at 354,325,877 and 1,686,461,545 $.y-1, totaling $2,040,787,422 in 2021.
Conclusion: The economic valuation of Carbon sequestration and the Oxygen supply spatially demonstrate the multiple roles of vegetation cover in the economy, which help maintain and restore it. Economic valuation maps of studied ecosystem services have comprehensive  land management and planning applications. Furthermore, they underscore the importance of incentives for long-term Carbon storage to encourage sustainable practices. 

Fatemeh Jahanishakib, Maliheh Erfani, Elham Yusefi Rubiat,
Volume 24, Issue 1 (Spring 2020)
Abstract

Introduction
 In Iran,time is limited and it is always too late to modify management attitudes in the fields of environment. On the one hand, the relevant agencies do not even know their priorities separately or are unaware relationship of their priorities with other agencies, while at the macro level, they are unaware of the province's development plan. So, important drivers in the field of environment are the first and most important steps in guiding scenarios of proper management.
Methodology
 First, a list of effective drivers of environmental management in the South Khorasan province was collected  from some specialist and experts using Delphi, followed by two-dimensional matrices containing quantitative matrices to quantify the driver’s relationships and interpretations. The axes of influence and dependence are were used. Therefore, according to the position of each driver with these two criteria in the matrix, five types of drivers are defined. Drivers screening based on the degree of influence and dependence of other drivers as effective , key and independent drivers in the field of environmental management in South Khorasan province were studied. The method used was MicMac Structural Analysis, which was used by academic experts and related executives. In so doing, the team created a common language which will served them as the process continued. In most cases, it also allowed the team to redefine certain variables and refine the analysis of the system. Lastly, experience shows that the ideal percentage of the matrix to be filled-in is around 20%.
Comparing the rankings of the variables from the various classifications (direct, indirect and potential) is a rich source of information. It allows the team to confirm the importance of certain variables as well as to reveal those variables which play a dominant role in the system, and which would have remained undetected if they had only been compared directly. The information obtained by influence and dependence of each of the variables can be displayed in two-dimensional diagrams containing the vertical (affective) and horizontal (affective) axes. This method can identify the most effective drivers in the system and study the different roles played by these drivers (Godet & Durance, 2011).
Results and discussion
By aggregating and analyzing the views of a panel of experts in the field who know the topic in MicMac 39 software, drivers were identified as key, effective, effective and dependence drivers. The comments were considered as MicMac inputs, with a filling rate of 23.86% including 153 one (weak influence), 113 two (moderate influence), 89 three (strong influence) and 8 to P (possible influence). The sum of direct and indirect and probable influence of drivers were estimated to be 3007, 2805, 2135, 1938 and 1572, respectively. This matrix has 100% stability with two replications which shows high validity of the questionnaire and its answers. The direct influence (a) and indirect (b) influence of the drivers on each other are shown in Fig. 1.
 Driver 5 (D5: creating environmental law enforcement and warranties) and D1 (co-operation between related agencies to prevent any re-work) in four ways are among the most effective and determining factors. In the next step, the influence of the drivers of the free flow of information and sharing the results of studies of all environmental-related organizations to public or academic expertise (D33), changing the real attitude of decision-makers in embracing intellectual physical potential, and creative indigenous peoples of the region (D29) and the environmental agency's correct placement in decision making (before doing the project and any action not after it is finalized or completed!) (D6) were more influence drivers respectively.
Given that the distribution of drivers is in the axis of influence and dependency as L shape, the system under study is balanced and it is possible to make planning for such a system (Arcade et al., 1999; Erfani and Mircheraghkhani, 2018)
Conclusion
 Five main and key drivers of the system under study were identified, the first two of which relate to political and institutional domains that are in line with  Erfani and Mircheraghkhani’s (2018) study. In this study, monitoring of nine identified response drivers is the main indicator for revealing the province’s environmental management status, which is recommended for future studies. These indicators  can explain the environmental status of the province and can be considered as a criterion for determining the actual performance and efficiency of the agencies. It is also recommended to continue the present study and to complete four more steps from the LIPSOR School to identify conflicts of interest between relevant stakeholders, scenarios building and predict the future. 
 Each year, the performance statistics of the agencies are presented based on the indicators set by the agencies themselves and the overhead agencies, and they are more likely to be defined in a way that may not adequately represent the agencies’ performance, and thus make the agencies less judgmental to fall. For example, the index of mountain tenure has clearly increased over the last few years. Combating mountain tenure alone does not indicate management efficiency, but rather the absence of mountain tenure and the return of shifting areas given to conditions close to the baseline status is effective either. Therefore, change in decision makers' attitudes (D6) and efforts in problem solving have been introduced as one of the key drivers in this study (Fig. 1).

Fatemeh Jahanishakib, Malihe Erfani,
Volume 26, Issue 3 (Fall 2022)
Abstract

South Khorasan Province has gone through rapid industrialization and urbanization processes in the last decades and is under increasing pressure from various environmental challenges such as water scarcity and intensification of pollution and ecosystem degradation. Therefore, the purpose of this study is to develop scenarios for the future state of the environment of South Khorasan province using LIPSOR, the French school of scenario building, and by the application of simple interaction matrix models and morphological analysis to systematically help the environmental management orientations. For this purpose, key variables were first introduced as the main drivers or actors shaping the future. SMIC PROB-EXPERT software package was used to explain the initial scenarios of the future environmental situation of the province. Then a set of scenarios including the most probable scenarios were identified using MORPHOL software. Also, due to a large number of scenarios, the framework of general scenarios was used to describe different axes and conditions. The results of the study of the five main drivers in the SMIC model led to the extraction of 10 initial scenarios. Then, morphological analysis with the MORPHOL model with three political, institutional-executive, and cultural domains produced 3125 possible and probable scenarios, each of which shows the probability of D5/D6/D1/D33/D29 propulsion, respectively. Finally, the analysis of 50 possible scenarios showed that scenario 11111 is the most probable scenario (276.41%), and scenarios 11112, 11113, and 21111 are with probabilities of 184.28, 122.85, and 115.17, respectively, which are five of its constituent variables mainly indicating the probability of occurrence of low (1) to moderate (2 and 3) in the scenarios. In general, the future environmental situation of South Khorasan province is in the situation of the third quarter called lack of discretion in the environment. To change the future and move towards a better future, paying attention to each of the influential variables will be the way forward and can be directed towards a quarter of the framework with at least one flourishing axis.
 

Page 1 from 1