Past and Future Changes of Land Use/Land Cover and the Potential Impact on Ecosystem Services Value of Damietta Governorate, Egypt

This investigation aims to assess the changes of Land Use/Land Cover (LULC) and its impact on ecosystem services value in Damietta Governorate, Egypt. To fulfill this aim, Landsat data of TM5 in 2001, ETM in 2011 and OLI in 2021 were used. The Maximum Likelihood Classifier was employed to track the...

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Main Authors: Hazem T. Abd El-Hamid, Hoda Nour-Eldin, Nazih Y. Rebouh, Ahmed M. El-Zeiny
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/11/12/2169
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author Hazem T. Abd El-Hamid
Hoda Nour-Eldin
Nazih Y. Rebouh
Ahmed M. El-Zeiny
author_facet Hazem T. Abd El-Hamid
Hoda Nour-Eldin
Nazih Y. Rebouh
Ahmed M. El-Zeiny
author_sort Hazem T. Abd El-Hamid
collection DOAJ
description This investigation aims to assess the changes of Land Use/Land Cover (LULC) and its impact on ecosystem services value in Damietta Governorate, Egypt. To fulfill this aim, Landsat data of TM5 in 2001, ETM in 2011 and OLI in 2021 were used. The Maximum Likelihood Classifier was employed to track the changes in LULC of the study area. Cellular automata (CA) and Markov model adopted from IDRISI software were used for accurate prediction of the LULC in 2031. The VALIDATE model in TerrSet was used to compare the predicted 2031 LULC with actual 2021 LULC to assess the accuracy of the model. The Millennium Ecosystem Assessment was utilized to assess the value per unit area of land types. The results indicated that there was a noticeable change in different land cover classes during the duration 2001–2021. Results showed that there are decreases in the cultivated area and the bare area, meanwhile the urban area was increased. The cultivated area was remarkably decreased recording 548.2 km<sup>2</sup> (62.15%) at 2001, 548.2 km<sup>2</sup> (55.79%) at 2011 and 468.96 km<sup>2</sup> (53.16%) at 2021 of the total study area. However, the percentage of urban area increased; reporting 65.69 km<sup>2</sup> (7.45%), 124.57 km<sup>2</sup> (14.12%), and 176.67 km<sup>2</sup> (20.03%) at 2001, 2011, and 2021, respectively. LULC analyses in 2031 showed an increase in the urban area by 2.8% and a decrease in the cultivated area by 7.2%. The kappa index values are greater than 0.80, which shows a strong agreement between simulated and predicted LULC maps. The comprehensive index of Damietta Governorate ranges from 100 to 400. The ES that experienced positive ESV changes during the study period gives strength indicator for achieving the sustainable development of Damietta Governorate. To prevent further ecosystem degradation and to ensure the best possible delivery of ES, it is necessary to reduce the current drivers of LULC changes within the buildup in agricultural land. The study helps the local authorities to better understand the land use system and to develop an improved land use management strategies that manage the urban expansion and guarantee the ecological conservation.
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spelling doaj.art-6fd8710e4057480fba9a13b5898b81192023-11-24T16:06:34ZengMDPI AGLand2073-445X2022-11-011112216910.3390/land11122169Past and Future Changes of Land Use/Land Cover and the Potential Impact on Ecosystem Services Value of Damietta Governorate, EgyptHazem T. Abd El-Hamid0Hoda Nour-Eldin1Nazih Y. Rebouh2Ahmed M. El-Zeiny3Department of Marine Pollution, National Institute of Oceanography and Fisheries (NIOF), Cairo 11511, EgyptLand Use Department, National Authority for Remote Sensing and Space Sciences (NARSS), Cairo 11769, EgyptDepartment of Environmental Management, Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, 117198 Moscow, RussiaEnvironmental Studies Department, National Authority for Remote Sensing and Space Sciences (NARSS), Cairo 11769, EgyptThis investigation aims to assess the changes of Land Use/Land Cover (LULC) and its impact on ecosystem services value in Damietta Governorate, Egypt. To fulfill this aim, Landsat data of TM5 in 2001, ETM in 2011 and OLI in 2021 were used. The Maximum Likelihood Classifier was employed to track the changes in LULC of the study area. Cellular automata (CA) and Markov model adopted from IDRISI software were used for accurate prediction of the LULC in 2031. The VALIDATE model in TerrSet was used to compare the predicted 2031 LULC with actual 2021 LULC to assess the accuracy of the model. The Millennium Ecosystem Assessment was utilized to assess the value per unit area of land types. The results indicated that there was a noticeable change in different land cover classes during the duration 2001–2021. Results showed that there are decreases in the cultivated area and the bare area, meanwhile the urban area was increased. The cultivated area was remarkably decreased recording 548.2 km<sup>2</sup> (62.15%) at 2001, 548.2 km<sup>2</sup> (55.79%) at 2011 and 468.96 km<sup>2</sup> (53.16%) at 2021 of the total study area. However, the percentage of urban area increased; reporting 65.69 km<sup>2</sup> (7.45%), 124.57 km<sup>2</sup> (14.12%), and 176.67 km<sup>2</sup> (20.03%) at 2001, 2011, and 2021, respectively. LULC analyses in 2031 showed an increase in the urban area by 2.8% and a decrease in the cultivated area by 7.2%. The kappa index values are greater than 0.80, which shows a strong agreement between simulated and predicted LULC maps. The comprehensive index of Damietta Governorate ranges from 100 to 400. The ES that experienced positive ESV changes during the study period gives strength indicator for achieving the sustainable development of Damietta Governorate. To prevent further ecosystem degradation and to ensure the best possible delivery of ES, it is necessary to reduce the current drivers of LULC changes within the buildup in agricultural land. The study helps the local authorities to better understand the land use system and to develop an improved land use management strategies that manage the urban expansion and guarantee the ecological conservation.https://www.mdpi.com/2073-445X/11/12/2169Land Use/Land CoverMarkov modelenvironmental monitoringremote sensingdamietta governorate
spellingShingle Hazem T. Abd El-Hamid
Hoda Nour-Eldin
Nazih Y. Rebouh
Ahmed M. El-Zeiny
Past and Future Changes of Land Use/Land Cover and the Potential Impact on Ecosystem Services Value of Damietta Governorate, Egypt
Land
Land Use/Land Cover
Markov model
environmental monitoring
remote sensing
damietta governorate
title Past and Future Changes of Land Use/Land Cover and the Potential Impact on Ecosystem Services Value of Damietta Governorate, Egypt
title_full Past and Future Changes of Land Use/Land Cover and the Potential Impact on Ecosystem Services Value of Damietta Governorate, Egypt
title_fullStr Past and Future Changes of Land Use/Land Cover and the Potential Impact on Ecosystem Services Value of Damietta Governorate, Egypt
title_full_unstemmed Past and Future Changes of Land Use/Land Cover and the Potential Impact on Ecosystem Services Value of Damietta Governorate, Egypt
title_short Past and Future Changes of Land Use/Land Cover and the Potential Impact on Ecosystem Services Value of Damietta Governorate, Egypt
title_sort past and future changes of land use land cover and the potential impact on ecosystem services value of damietta governorate egypt
topic Land Use/Land Cover
Markov model
environmental monitoring
remote sensing
damietta governorate
url https://www.mdpi.com/2073-445X/11/12/2169
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