Presenting an Early Warning System to Supply the Protected Areas with Ecological Security (Case Study: Darmiyan Protected Area, East of Iran)

جغرافیا و مخاطرات محیطی

Article 5, Volume 7, Issue 2 - Serial Number 26, January 2019, Pages 75-94   

Document Type: Research Article

DOI: 10.22067/geo.v7i2.62398

Authors

Meysam Bahraminejad¹; Behzad Rayegani^{* 2}; Bagher Nezami¹; Ali Jahani¹

¹College of Environment

²College of Enviroment

Abstract

Introduction

Protected areas (PAs) are the basis of biodiversity protection. Societies invest in utilizing, managing, and protecting the primary roles of the PAs. Thus, performing management plans need much time, cost, and workforce by the increase in number and area of the PAs in recent years. In this research, the early warning system (EWS) is proposed as a solution to decrease the management cost of PAs and other significant and inaccessible areas. EWS is a general idea that can be used as a useful and cheap tool to ease the access to primary global strategic goals of protection of stable development. In some studies, it is attempted to utilize the EWS to describe biological mobility, environmental elements related to ecological security, to prevent the loss of resources in environmental disasters, and to decrease the flood damage. This study is based on research RS_GIS research and the pressure-status-response (P-S-R) model on the ecological security status in Darmiyan PA, located in the eastern part of Iran. The primary goal of this paper is to present the EWS for in time and appropriate monitoring, maintaining the mobility in relations, and preserving the health of the ecosystem of PAs.

Materials and methods

 In this study, it is attempted to determine the ecological security index (ESI) of Darmiyan PA according to the P-S-R model to propose the EWS with the aid of this index for the study area. In this approach, 12 environmental indicators in three categories of pressure (the average annual temperature, annual precipitation, fragmentation, the hunter presence risk), status (distance from human-made areas, distance from farms, cover vegetation status, soil brightness, finite rate of increase wildlife), and response (the increment rate of governmental financing in the region, the Incompatibility percentage of the region with protection use, utilization and development of technology in protection) were chosen. These indicators were measured by the images of TM and OLI sensors of the LANDSAT satellite, DEM Aster, thermal data of Modis from the earth surface, and statistics and information of the environmental and meteorology organizations of South Khorasan. The ESI for each of the 30-meter pixels of the study area was determined by the Multivariate Composite Estimator (MCE) method using Weighted Linear Combination (WLC). According to the defined features for the EWS indicators, the leading and final indicators to act on the EWS system were chosen using decomposition to main components and multivariate regression. Finally, with the calculation of the thirty-year average of the mentioned indicators in the study area, the confidence interval for each of these indicators with the confidence factor of %95 was achieved.

Results and Discussion

The results declared that the average ESI changed from 0/315 in the year 2000 to 0/518 in the year 2014. Checking the variance plot of the standard value of the useful indicators in ESI declared that except three indicators of distance from human-made areas, distance from farms, and the incompatibility percentage of the region with protection use, the other indicators held a better status in 2014 in comparison to the year 2000. These results represent the practical impact of protection and management in the region. However, the decrease in the standardized value of the three mentioned indicators declares the lack of attention to the exceptions of the PA and the increasing trend of land tenure in the study area.
Location changes in the ESI of a particular year have a close relation to the land shape. In the under study area, as we move from the flat areas to the heights, the ESI increases. Studying the categorized map of the sensitivity of the study area in 2014 indicated that 95 percent of the study area is located in medium and high sensitivity categories. The living locations of urials wild sheep in this map indicated that this species had chosen areas with medium and low sensitivity where are hilly with high ecological security to live.
Three indicators, including annual precipitation, cover vegetation status, and soil brightness, were chosen as the appropriate indicators to be utilized in the EWS of Darmiyan PA. While monitoring, the warning areas in the study area were determined by studying the status of these three indicators. This EWS was utilized in the study area in 2014. Based on the results, some parts of south-west and east of the area have been subject to danger. After determining the vulnerable areas, the operation accuracy of the proposed EWS was assessed using the field visit. This system had good accuracy. With the presented approach, one can have regular monitoring of the critical and inaccessible areas. This approach is practical with its minimum cost in optimum and oriented managing of Pas even though the choice of general and useful indicators in ecological security remains the most crucial part of this approach.

Conclusions

In this research, one can see a reduction in managing expenses through the use of technology. The effective indicators on the ecological security of an area with a semi-arid climate are proposed. This research helps the ecosystem existence of the areas where they are the habitat to international species. In this study, the minimum number of indicators was used for a warning system even though the necessity for research on a warning system with more indicators and comparison with the presented results remains considerable. We believe this research is an appropriate starting point for discussion on the use of the warning system for essential and inaccessible areas of all around the world.

Keywords

Early warning system; Darmiyan protected area; Ecological security; PSR model

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