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林业研究(英文版) >

2023 , Vol. 34 >Issue 3: 793 - 808

DOI: https://doi.org/10.1007/s11676-022-01525-x

  • Youssef Dallahi 1, a ,
  • Amal Boujraf 2 ,
  • Modeste Meliho 3 ,
  • Collins Ashianga Orlando 4
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收稿日期: 2022-03-20

  录用日期: 2022-04-21

  网络出版日期: 2024-10-16

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Assessment of forest dieback on the Moroccan Central Plateau using spectral vegetation indices

  • Youssef Dallahi 1, a ,
  • Amal Boujraf 2 ,
  • Modeste Meliho 3 ,
  • Collins Ashianga Orlando 4
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  • 1 Laboratory of Microbial Biotechnologies, Agrosciences and Environment (BioMAgE), Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco
  • 2 Laboratoire des Productions Végétale, Animales et Agro-industrie, Equipe de Botanique, Biotechnologie et Protection des Plantes, Faculté des Sciences, Université Ibn Tofail, Kenitra, Morocco
  • 3 Sociétés, Territoires, Histoires et Patrimoines, Faculté des Lettres et des Sciences Humaines, Université Mohammed V, Rabat, Morocco
  • 4 Rabat, Morocco
a

Received date: 2022-03-20

  Accepted date: 2022-04-21

  Online published: 2024-10-16

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© The Author(s) 2022
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
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本文引用格式

Youssef Dallahi , Amal Boujraf , Modeste Meliho , Collins Ashianga Orlando . [J]. 林业研究(英文版), 2023 , 34(3) : 793 -808 . DOI: 10.1007/s11676-022-01525-x

Abstract

Cork oak forests in Morocco are rich in resources and services thanks to their great biological diversity, playing an important ecological and socioeconomic role. Considerable degradation of the forests has been accentuated in recent years by significant human pressure and effects of climate change; hence, the health of the stands needs to be monitored. In this study, the Google Engine Earth platform was leveraged to extract the normalized difference vegetation index (NDVI) and soil-adjusted vegetation index, from Landsat 8 OLI/TIRS satellite images between 2015 and 2017 to assess the health of the Sibara Forest in Morocco. Our results highlight the importance of interannual variations in NDVI in forest monitoring; the variations had a significantly high relationship (p < 0.001) with dieback severity. NDVI was positively and negatively correlated with mean annual precipitation and mean annual temperature with respective coefficients of 0.49 and − 0.67, highlighting its ability to predict phenotypic changes in forest species. Monthly interannual variation in NDVI between 2016 and 2017 seemed to confirm field observations of cork oak dieback in 2018, with the largest decreases in NDVI (up to − 38%) in December in the most-affected plots. Analysis of the influence of ecological factors on dieback highlighted the role of substrate as a driver of dieback, with the most severely affected plots characterized by granite-granodiorite substrates.

Key words： Forest health monitoring; Remote sensing; Dieback; Vegetation indices; Sibara forest

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