Evaluating the change process of vegetation patches of semi-steppe rangelands using landscape metrics

Mahzooni-Kachapi, Samaneh Sadat Mahzooni-Kachapi1; Tahmasebi, Pejman; Ebrahimi, Ataollah; Mojaradi, Barat; Jouri, Mohammad Hassan

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Volume 11, Issue 23 (12-2023)

PEC 2023, 11(23): 207-222

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Evaluating the change process of vegetation patches of semi-steppe rangelands using landscape metrics

Samaneh Sadat Mahzooni-Kachapi1 Mahzooni-Kachapi¹

, Pejman Tahmasebi ^*

, Ataollah Ebrahimi³

, Barat Mojaradi⁴

, Mohammad Hassan Jouri⁵

1- Faculty of Natural Resources and Earth Science, Shahrekord University
Department of Rangeland Management, Faculty of Natural Resources and Earth Science, Shahrekord University, Shahrekord, Department of Rangeland Management, Faculty of Natural Resources and Earth Science, Shahrekord University, Shahrekord , pejman.tahmasebi@sku.ac.ir
3- Department of Rangeland Management, Faculty of Natural Resources and Earth Science, Shahrekord University, Shahrekord
4- Department of Geomatics, Faculty of Civil Engineering, Iran University of Science and Technology, Tehran
5- Department of Natural Resources, Islamic Azad University, Noor Branch, Noor

Abstract: (1502 Views)

The pattern of the landscape and its corresponding changes is a comprehensive reflection of the ecology of the environment. The existing ecological processes in different scales cause the fragmentation and disintegration of the landscape structures and cause changes in the spatial distribution and fate of the patches in it. Plant patches are a relatively homogeneous part of the landscape, which have different responses to natural disturbances and management actions, and indicate the history of the management governing the region. It seems necessary to use detection methods to determine the process of changes in the distribution pattern with the passage of time in an ecosystem. Landscape metrics are one of the most important detection methods that provide the basis for quantification of the structure and spatial pattern of the landscape and make the nature of dispersion and distribution of its structural components comparable. The present study was conducted with the aim of investigating the process of changes in the pattern of plant patches in Broujen city, which is located in a heterogeneous landscape in central Zagros. For this purpose, Landsat satellite images from 1990 and 2019 were used and then classified in Idrisi TerrSet software. This has led to the production of classification maps with various patches and placing them in seven different classes in terms of the plant community. In order to quantify landscape pattern at the class level, CA, PLAND, ED, TE, ENN-MN, and SHAPE-MN metrics were calculated using Fragstats software. The results indicate a decrease in degradation and an increase in patch stability in the Astragalus verus, Astragalus verus-Bromus tomentellus, and Astragalus verus-Stipa hohenackeriana classes. On the other hand, the landscape covered by Bromus tomentellus, Bromus tomentellus-Stipa hohenackeriana, and Stipa hohenackeriana classes has been increasing, which shows the expansion of the classes and the reduction of their disintegration. The results also show that except for the Bromus tomentellus class, which shows the increase in complexity and the irregular shape of its patches, the trend of changes in other classes is downward, and it shows that during the period under investigation, the shape of the patches of each class becomes simpler and more regular.

Article number: 15

Keywords: Change detection, Relatively homogeneous part of vegetation, Landscape structure, Fragstats, Central Zagros

Full-Text [PDF 1273 kb] (288 Downloads)

Type of Study: Research | Subject: Special
Received: 2023/09/10 | Accepted: 2023/12/16 | Published: 2024/03/20

References

1. Aghababaei, M., Ebrahimi, A., Naghipour, A.A., Asadi, E., Verrelst, J. 2021. Classification of Plant Ecological Units in Heterogeneous Semi-Steppe Rangelands: Performance Assessment of Four Classification Algorithms. Remote Sensing, 13(17): 3433.

2. Aghababaei, M., Ebrahimi, A., Naghipour, A.A., Asadi, E., Verrelst, J. 2021. Vegetation Types Mapping Using Multi-Temporal Landsat Images in the Google Earth Engine Platform. Remote sensing, 13(22): 4683.

3. Bande, P., Adam, E., Abd Elbasit, M.A.M., Adelabu, S. 2018. Comparing Landsat 8 and Sentinel-2 in Mapping Water Quality at VAAL DAM. IGARSS, 9280-9283.

4. Botequila Leitao, A., Jozeph, M., Ahern, J. 2006. Measuring Landscapes: A planner's handbook. Island Press, Washington DC, 272 p.

5. Breiman, L., Friedman, J.H., Olshen, R.A., Stone, C.J. 1984. Classification and regression trees, Wadsworth and Brooks/Cole. Monterey, California, USA.

6. Brown, J.R., Havstad, K.M. 2016. Using ecological site information to improve landscape management for ecosystem services. Rangelands, 38(6): 318-321.

7. Bunyangha, J., Majaliwa, M.J.G., Muthumbi, A.W., Gichuki, N.N., Egeru, A. 2021. Past and future land use/land cover changes from multi-temporal Landsat imagery in Mpologoma catchment, eastern Uganda. The Egyptian Journal of Remote Sensing and Space Science, 24(3): 675-685.

8. Crow, T.R. 2004. Putting Multiple Use And Sustained Yield into a Landscape Context. Integrating Landscape Ecology into Natural Resource Management, Cambridge, 349- 365.

9. De Sanctis, M., Alfo`, M., Attorre, F., Francesconi, F., Bruno, F. 2010. Effects of habitat configuration and quality on species richness and distribution in fragmented forest patches near Rome. Journal of Vegetation Science, 21: 55–65.

10. Del Castillo, E.M., García-Martin, A., Aladrén, L.A.L., de Luis, M. 2015. Evaluation of forest cover change using remote sensing techniques and landscape metrics in Moncayo Natural Park (Spain). Journal of Applied Geography, 62: 247-255.

11. Dzieszko, P. 2014. Land-Cover Modelling Using Corine Land Cover Data and Multi-Layer Perceptron. Quageo, 33(1): 5-22.

12. Fan, F., Weng, Q., Wang, Y.P. 2007. Land Use and Land Cover Change in Guangzhou, China, from 1998 to 2003, Based on Landsat TM /ETM+ Imagery. Sensors, 7(7): 1323-1342.

13. Fichera, C.R., Modica, G., Pollino, M. 2012. Land Cover classification and change-detection analysis using multitemporal remote sensed imagery and landscape metrics. European Journal of Remote Sensing, 45(1): 1-18.

14. Flick, T., Feagan, S., Fahrig, L. 2012. Effects of landscape structure on butterfly species richness and abundance in agricultural landscapes in eastern Ontario, Canada. Agriculture, Ecosystems and Environment, 156: 123–133.

15. Flowers, B., Huang, K.T., Aldana, G.O. 2020. Analysis of the Habitat Fragmentation of Ecosystems in Belize Using Landscape Metrics. Journal Sustainability, 12: 3024.

16. Forman, R.T.T., Sperling, D., Bissonette, J., Clevenger, A., Cutshall, C., Dale, V., Heanue, K. 2003. Road ecology: Science and Solutions. Washington, D.C, Island Press.

17. Gamfeldt, L., Roger, F. 2017. Revisiting the biodiversity– ecosystem multifunctionality relationship. Nature ecology & evolution, 1(7): 0168.

18. Ghandali, M., Alizadeh, A., Karami, M., Kaboli, M., Zohrabi, H. 2014. Application of Landscape Ecology Criteria in Assessing Wild Sheep Habitat in Kavir National Park. Journal of Environmental Science and Technology, 16: 552-561.

19. Ge, X., Dong, K., Luloff, A.E., Wang, L., Xiao, J., Wang, S., Wang, Q. 2016. Correlation between landscape fragmentation and sandy desertification: a case study in Horqin Sandy Land, China. Environ. Monit. Assess, 188: 62.

20. Heras, M.M., Saco, P.M., Willgoose, G.R., Tongway, D. 2011. Assessing landscape structure and pattern fragmentation in semiarid ecosystems using patch-size distributions. Ecol. Appl, 21: 2793–2805.

21. Jia, K., Wei, X., Gu, X., Yao, Y., Xie, X., Li, B. 2014. Land cover classification using Landsat 8 Operational Land Imager data in Beijing, China. Geocarto International, 29(8): 941- 951.

22. Kumar, M., Denis, D.M., Singh, S.K., Szabó, S., Suryavanshi, S. 2018. Landscape metrics for assessment of land cover change and fragmentation of a heterogeneous watershed. Remote Sensing Applications: Society & Environment, 10: 224-233.

23. Li, Z.T., Yuan, M.J., Hu, M.M., Wang, Y.F., Xia, B.C. 2019. Evaluation of ecological security and influencing factors analysis based on robustness analysis and the BP-DEMALTE model: A case study of the Pearl River Delta urban agglomeration. Ecological Indicators, 101:595-602.

24. Liang, X., Jin, X., Ren, J., Gu, Z., Zhou, Y. 2020. A research framework of land use transition in Suzhou City coupled with land use structure and landscape multifunctionality. Science of the Total Environment, 737: 139932.

25. Lillesand, T.M., Kiefer, R.W. 1994. Remote sensing & image interpretion. 3th Ed., John wiley & sons Inc., New York, 750 p.

26. Liu, J., Taylor, W.W. 2004. Coupling Landscape Ecology with Natural Resource Management: Paradigm Shifts and New Approaches. Integrating Landscape Ecology into NaturalResource Management, Cambridge, 1- 20.

27. Liu, G., Xie, X., Ye, D., Ye, X., Tuvshintogtokh, I., Mandakh, B., Huang, Z., Dong, M. 2013. Plant Functional Diversity and Species Diversity in the Mongolian Steppe. PLoS ONE, 8(10): e77565.

28. Liu, S., Dong, Y., Denga, Li., Liu, Q., Zhao, H., Dong, S. 2014. Forest fragmentation and landscape connectivity change associated with road network extension and city expansion: A case study in the Lancang River Valley. Ecological Indicators, 36: 160–168.

29. Lo, C.P., Choi, J. 2014. A hybrid approach to urban land use/cover mapping using Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images. Internat. Journal Remote Sensing, 25(14): 2687–2700.

30. Mallupattu, P.K., Sreenivasula Reddy, J.R. 2013. Analysis of land use/land cover changes using remote sensing data and GIS at an Urban Area, Tirupati, India. The Scientific World Journal, 268623.

31. Mandal, M., Chatterjee, N.D. 2021. Forest landscape and its ecological quality: A stepwise spatiotemporal evaluation through patch-matrix model in Jhargram District, West Bengal State, India. Regional Sustainability, 2: 164-176.

32. McGarigal, K.S.A., Cushman, S., Ene, E. 2012. FRAGSTATS v4: spatial pattern analysis program for categorical and continuous maps. University of Massachusetts, Amherst.

33. Mori, A.S., Isbell, F., Seidl, R. 2018. β- Diversity, community assembly, and ecosystem functioning. Trends in ecology & evolution, 33(7): 549–564.

34. Muhammed, A., Elias, E. 2021. The effects of landscape change on plant diversity and structure in the Bale mountains national park, southeastern Ethiopia. International Journal of Ecology, 2021: 1-13.

35. Paudel, S., Yuan, F. 2012. Assessing landscape changes and dynamics using patch analysis and GIS modeling. Internat. Applied Earth Observation & Geoinformation, 16: 66-76.

36. Phiri, D., Morgenroth, J., Xu, C., Hermosilla, T. 2018. Effects of pre-processing methods on Landsat OLI-8 land cover classification using OBIA and random forests classifier. International Journal of Applied Earth Observation and Geoinformation, 73: 170-178.

37. Rocchini, D., Hernandez-Stefanoni, J.L., He, K.S. 2015. Advancing species diversity estimate by remotely sensed proxies: A conceptual review. Ecological Informatics, 25: 22-28.

38. Rodrıguez-Loinaz, G., Amezaga, I., Onaindia, M. 2012. Does forest fragmentation affect the same way all growth-forms? Journal of Environmental Management, 94(1): 125–131.

39. Roshan, S.A., Heydari, M. 2014. Short Communication: Flora, life form and chorological study of Quercus brantii habitat in Emamzadeh Abdullah woodland, Iran. Biodiversitas Journal of Biological Diversity, 15(2): 245-250.

40. Singh, N.K., Nathawat, M.S. 2019. The Study of the Land Cover Pattern in Varanasi District Using GIS and Landscape Metrics. International Journal of Applied Social Science, 6(11&12): 2461-2466.

41. Szabó, S., Novák, T., Elek, Z. 2012. Distance models in ecological network management: A case study of patch connectivity in a grassland network. Nature Conservation, 20(5): 293-300.

42. Simova, P., Gdulova, K. 2012. Landscape indices behavior: A review of scale effects. Journal of Applied Geography, 34: 385-394.

43. Tahmasebi, P., Moradi, M., Omidipour, R. 2017. Plant Functional Identity as the Predictor of Carbon Storage in Semi-Arid Ecosystems. Plant Ecology & Diversity, 10(2-3): 139-151.

44. Uroy, L., Alignier, A., Mony, C., Folteˆte, J.C., Ernoult, A. 2021. How to assess the temporal dynamics of landscape connectivity in ever-changing landscapes: a literature review. Landscape Ecology, 36: 2487–2504.

45. Verrelst, J., Gustau, C.V., Jordi, M.M., Juan, P.R., Frank, V., Jan, G.P.W.C., José, M. 2015. Optical remote sensing and the retrieval of terrestrial vegetation biogeophysical properties, a review. ISPRS Journal Photogramm. Remote Sens, 108: 273–290.

46. Weng, Q. 2018. Remote Sensing Time Series Image Processing. Taylor & Francis Series in Imaging Science. International Standard Book Number, 13: 978-1-138-05459-2.

47. Wulder, M.A., Coops, N.C., Roy, D.P., White, J.C., Hermosilla, T. 2018. Land cover 2.0. International Journal of Remote Sensing, 39(12): 4254-4284.

48. Xie, Z., Chen, Y., Lu, D., Li, G., Chen, E. 2019. Classification of Land Cover, Forest, and Tree Species Classes with ZiYuan-3 Multispectral and Stereo Data. Remote Sensing, 11(2): 164.

49. Yoneyama, Y., Suzuki, S., Sawa, R., Yoneyama, K., Power, G.G., Araki, T. 2002. Increased plasma adenosine concentrations and the severity of preeclampsia. Obstetrics & Gynecology, 100(6): 66-70.

50. Zhang, W., Zhang, J. 2021. Scaling effects on landscape metrics in alpine meadow on the central Qinghai-Tibetan Plateau. Global Ecology and Conservation, 29: e01742.

51. Zhu, C., Zhang, X., Zhou, M., He, S., Gan, M., Yang, L., Wang, K. 2020. Impacts of urbanization and landscape pattern on habitat quality using OLS and GWR models in Hangzhou, China. Ecological Indicators, 117(3): 106654.

52. Zwiener, V.P., Padial, A.A., Marques, M.C., Faleiro, F.V., Loyola, R., Peterson, A.T. 2017. Planning for conservation and restoration under climate and land use change in the Brazilian Atlantic Forest. Diversity & Distributions, 23(8): 955-966.

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Mahzooni-Kachapi S S M, Tahmasebi P, Ebrahimi A, Mojaradi B, Jouri M H. Evaluating the change process of vegetation patches of semi-steppe rangelands using landscape metrics. PEC 2023; 11 (23) : 15
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