The fate of rangelands: Revealing past and predicting future land-cover transitions from 1985 to 2036 in the drylands of Central Iran

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The fate of rangelands : Revealing past and predicting future land-cover transitions from 1985 to 2036 in the drylands of Central Iran. / Mazloum, Bibizahra; Pourmanafi, Saeid; Soffianian, Alireza; Salmanmahiny, Abdolrassoul; Prishchepov, Alexander V.

I: Land Degradation and Development, Bind 32, Nr. 14, 2021, s. 4004–4017.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Mazloum, B, Pourmanafi, S, Soffianian, A, Salmanmahiny, A & Prishchepov, AV 2021, 'The fate of rangelands: Revealing past and predicting future land-cover transitions from 1985 to 2036 in the drylands of Central Iran', Land Degradation and Development, bind 32, nr. 14, s. 4004–4017. https://doi.org/10.1002/ldr.3865

APA

Mazloum, B., Pourmanafi, S., Soffianian, A., Salmanmahiny, A., & Prishchepov, A. V. (2021). The fate of rangelands: Revealing past and predicting future land-cover transitions from 1985 to 2036 in the drylands of Central Iran. Land Degradation and Development, 32(14), 4004–4017. https://doi.org/10.1002/ldr.3865

Vancouver

Mazloum B, Pourmanafi S, Soffianian A, Salmanmahiny A, Prishchepov AV. The fate of rangelands: Revealing past and predicting future land-cover transitions from 1985 to 2036 in the drylands of Central Iran. Land Degradation and Development. 2021;32(14):4004–4017. https://doi.org/10.1002/ldr.3865

Author

Mazloum, Bibizahra ; Pourmanafi, Saeid ; Soffianian, Alireza ; Salmanmahiny, Abdolrassoul ; Prishchepov, Alexander V. / The fate of rangelands : Revealing past and predicting future land-cover transitions from 1985 to 2036 in the drylands of Central Iran. I: Land Degradation and Development. 2021 ; Bind 32, Nr. 14. s. 4004–4017.

Bibtex

@article{abacef3aef3c4d59ad3eb249b764154f,
title = "The fate of rangelands: Revealing past and predicting future land-cover transitions from 1985 to 2036 in the drylands of Central Iran",
abstract = "Land serves as a vital production resource, and therefore land planning plays an important role in sustainable land-use design. Iran includes large areas of the world's drylands, many of which are used as rangelands, and where the population has increased by 60% from 1985 to 2016. Further population increase in Iran would probably require more land resources to be allocated for human needs. However, the pace and patterns of these changes remain unclear. The aim of this study was to map land-cover change from 1985 to 2016 and predict future land-cover change in the Zayandehrood ecologic sub-basins of Central Iran. By using multiseasonal LANDSAT imagery, we mapped land-cover change with a Random Forest classifier for 1985, 1998, and 2016 with an overall accuracy of 80% for each period. Classification results revealed that from 1985 to 2016 residential areas doubled and industrial areas increased at the expense of rangelands. Our study also revealed cropland expansion at the expense of rangelands, cropland abandonment, and contraction of croplands due to residential and industrial development. Prediction of changes by 2036 with a multilayer perceptron neural network and Markov chain analysis showed further expansion of industries and residencies, particularly near the Ghamashlu Wildlife Refuge. Despite the partial restoration of rangelands in some parts of the world, our study provides evidence of ongoing rangeland degradation in Iran due to conversion to other land uses. Therefore, the study underscores the importance of sustainable land management of already cultivated areas and the development of strategies for the protection of global rangelands.",
keywords = "change detection, drylands, land cover, land-change prediction, Random Forest, rangelands",
author = "Bibizahra Mazloum and Saeid Pourmanafi and Alireza Soffianian and Abdolrassoul Salmanmahiny and Prishchepov, {Alexander V.}",
year = "2021",
doi = "10.1002/ldr.3865",
language = "English",
volume = "32",
pages = "4004–4017",
journal = "Land Degradation and Development",
issn = "1085-3278",
publisher = "JohnWiley & Sons Ltd",
number = "14",

}

RIS

TY - JOUR

T1 - The fate of rangelands

T2 - Revealing past and predicting future land-cover transitions from 1985 to 2036 in the drylands of Central Iran

AU - Mazloum, Bibizahra

AU - Pourmanafi, Saeid

AU - Soffianian, Alireza

AU - Salmanmahiny, Abdolrassoul

AU - Prishchepov, Alexander V.

PY - 2021

Y1 - 2021

N2 - Land serves as a vital production resource, and therefore land planning plays an important role in sustainable land-use design. Iran includes large areas of the world's drylands, many of which are used as rangelands, and where the population has increased by 60% from 1985 to 2016. Further population increase in Iran would probably require more land resources to be allocated for human needs. However, the pace and patterns of these changes remain unclear. The aim of this study was to map land-cover change from 1985 to 2016 and predict future land-cover change in the Zayandehrood ecologic sub-basins of Central Iran. By using multiseasonal LANDSAT imagery, we mapped land-cover change with a Random Forest classifier for 1985, 1998, and 2016 with an overall accuracy of 80% for each period. Classification results revealed that from 1985 to 2016 residential areas doubled and industrial areas increased at the expense of rangelands. Our study also revealed cropland expansion at the expense of rangelands, cropland abandonment, and contraction of croplands due to residential and industrial development. Prediction of changes by 2036 with a multilayer perceptron neural network and Markov chain analysis showed further expansion of industries and residencies, particularly near the Ghamashlu Wildlife Refuge. Despite the partial restoration of rangelands in some parts of the world, our study provides evidence of ongoing rangeland degradation in Iran due to conversion to other land uses. Therefore, the study underscores the importance of sustainable land management of already cultivated areas and the development of strategies for the protection of global rangelands.

AB - Land serves as a vital production resource, and therefore land planning plays an important role in sustainable land-use design. Iran includes large areas of the world's drylands, many of which are used as rangelands, and where the population has increased by 60% from 1985 to 2016. Further population increase in Iran would probably require more land resources to be allocated for human needs. However, the pace and patterns of these changes remain unclear. The aim of this study was to map land-cover change from 1985 to 2016 and predict future land-cover change in the Zayandehrood ecologic sub-basins of Central Iran. By using multiseasonal LANDSAT imagery, we mapped land-cover change with a Random Forest classifier for 1985, 1998, and 2016 with an overall accuracy of 80% for each period. Classification results revealed that from 1985 to 2016 residential areas doubled and industrial areas increased at the expense of rangelands. Our study also revealed cropland expansion at the expense of rangelands, cropland abandonment, and contraction of croplands due to residential and industrial development. Prediction of changes by 2036 with a multilayer perceptron neural network and Markov chain analysis showed further expansion of industries and residencies, particularly near the Ghamashlu Wildlife Refuge. Despite the partial restoration of rangelands in some parts of the world, our study provides evidence of ongoing rangeland degradation in Iran due to conversion to other land uses. Therefore, the study underscores the importance of sustainable land management of already cultivated areas and the development of strategies for the protection of global rangelands.

KW - change detection

KW - drylands

KW - land cover

KW - land-change prediction

KW - Random Forest

KW - rangelands

U2 - 10.1002/ldr.3865

DO - 10.1002/ldr.3865

M3 - Journal article

AN - SCOPUS:85099841374

VL - 32

SP - 4004

EP - 4017

JO - Land Degradation and Development

JF - Land Degradation and Development

SN - 1085-3278

IS - 14

ER -

ID: 256221685