Spatiotemporal multi-index analysis of desertification in dry Afromontane forests of northern Ethiopia

Gebru, Belay Manjur; Lee, Woo‐Kyun; Khamzina, Asia; Wang, Sonam Wangyel; Cha, Sungeun; Song, Chunqiao; Lamchin, Munkhansan

doi:10.1007/s10668-020-00587-3

Cited by 13 publications

(6 citation statements)

References 55 publications

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“…The quality indices cannot explain every cause and effect of land degradation and desertification, but utilizing them is useful to overcome the lack of field studies in Ethiopia due to the long-term civil war, volcanic events, etc. (Gebru et al, 2020;Mengistu et al, 2005;Pistorius et al, 2017). The quality indices also provide some benefits that land cover products cannot produce.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, the southeastern grassland and the central agricultural area are dominant land cover types in Ethiopia. Some barren and desert areas, including active volcanic areas, are connected to the Sahara Desert (Gebru et al, 2020) (Figure 1).…”

Section: Study Areamentioning

confidence: 99%

“…These are initiatives by international organizations and bilateral cooperation, such as by the Food and Agriculture Organization (FAO) of the United Nations, which needs more involvements and restoration actions. Previous studies have focused on regional soil restoration (Mekuria & Aynekulu, 2013), land-use dynamics with vegetation changes (Bouaziz et al, 2011;Hishe et al, 2021;Seboka, 2016), and assessing precipitation indices (Gebru et al, 2020) in Northern Ethiopia. These studies presented the trends of land degradation and deforestation, and the need for sustainable land management.…”

mentioning

confidence: 99%

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Spatial assessment of land degradation using MEDALUS focusing on potential afforestation and reforestation areas in Ethiopia

Song

Kim

et al. 2021

Land Degrad Dev

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Ethiopia currently faces severe land degradation and desertification and has attracted increasing attention for international restoration projects. However, selecting appropriate potential afforestation and reforestation areas is challenging because of limited geospatial assessment tools on a national scale. Therefore, the globally used MEDALUS approach was applied to identify areas sensitive to land degradation and desertification, and indices were utilized to establish the main drivers from 2000 to 2019. The value of the environmentally sensitive area index (ESAI) ranged from 1 to 1.58. Addis Ababa, Afar, Somali, and Tigray had relatively high ESAI values, approaching the over 1.42 which regarded critical thresholds. However, the main driver of land degradation and desertification was identified as the management quality index (MQI) and the analysis of relationships indicated that the climate quality index, soil quality index, and MQI caused changes in the vegetation quality index. Increasing housing, agricultural transitions, and urbanization, were identified by on-site visual interpretation. Even though some land cover changes and fluctuations of the indices existed on a national scale, the deforestation areas in Amhara, Benshangul-Gumaz, and Oromia West have the highest priority for forest restoration projects. Thus, international attention to afforestation and reforestation clean development mechanism (A/R CDM) and reducing emission from deforestation and forest degradation (REDD+) is required to combat desertification and to secure land degradation neutrality in Ethiopia.

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Section: Discussionmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

mentioning

confidence: 99%

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Spatial assessment of land degradation using MEDALUS focusing on potential afforestation and reforestation areas in Ethiopia

Song

Kim

et al. 2021

Land Degrad Dev

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“…In general, NDVI has been fluctuating. Although the variation trends of NDVI and climatic parameters were not significant (NDVI increase, water factors decrease and air temperature parameter increase), different studies stated that precipitation was the main factor determining vegetation growth (Gebru et al, 2020;Ndayisaba et al, 2017). During years with high precipitation, the vegetation becomes green while in years with low precipitation, the growth slows down and the vegetation becomes sparse.…”

Section: Ndvi Dynamics Over the Regionmentioning

confidence: 98%

Response of Seasonal Vegetation Dynamics to Climatic Constraints in Northeastern Burundi

Batungwanayo¹,

Vanclooster²,

Koropitan³

2020

GEP

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The climate crises in East Africa (EA), particularly in Burundi, have affected vegetation which, in turn, plays a key role in the climate system by modifying the terrestrial water and energy balance. Consequently, it is vital to understand vegetation dynamics and its response to current and projected climate conditions to support the design of climate resilient land management strategies. The objective of this study was to study the dynamics of vegetation cover over the Northeastern Burundi (NEB) in response to climatic constraints. The methodology used consisted of the interpretation of satellite images along with the analysis of data collected through rain-gauge stations. The data sets used include time series composite moderate resolution imaging spectroradiometer (MODIS) normalized difference vegetation index (NDVI) data collected between February 2000 and December 2017; long term (1986-2017) rainfall data acquired from two meteorological stations throughout the Northeastern provinces in Burundi and precipitation and mean temperature data (1986-2017) from Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and ERA5 Daily aggregates for the study area. The study provides an assessment of the vegetation trends in NEB using the NDVI time series. In addition, regression analysis is applied to assess the relations between NDVI and precipitation, air temperature, potential evapotranspiration, as well as with growing season characteristics (onset, cessation, and length). Results show that the rate in vegetation productivity is persistently gradual between 2000 and 2011 despite fluctuations from the mean position, followed by a lower growth rate over the period 2011-2017. There has been trend variation in precipitation, neither the temperature was constant. The temperature over the region has increased while the precipitation has decreased. The onset of the growing season and air temperature also show a significant influence

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“…Em diversos estudos foram utilizados indicadores como albedo, NDVI e SAVI para se identificar o grau de desertificação em que as regiões afetadas se encontravam, mas devido ao grau de processos de desertificação, diferentes texturas de solo (Wei et al, 2018), torna-se inviabilizando muitas vezes a utilização desses indicadores. Dessa forma o indicador utilizado para identificar a degradação do solo em áreas desertificadas é o TGSI (Topsoil Grain Size Index) (Gebru et al, 2021;Qian et al, 2021). Lamchin et al (2017) descobriram que as maiores correlações estavam entre TGSI e albedo em todos os níveis de desertificação.…”

Section: Indicadores Para Identificação Da Desertificaçãounclassified

Desertificação: uma visão geral dos processos e conceitos, fundamentados em aplicação de índices orbitais através do sensoriamento remoto

Neto

Jardim

Souza

et al. 2021

RSD

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A desertificação tem sido um problema ambiental em todo o mundo, em decorrência disso tem se observado nos últimos 50 anos um interesse crescente em relação aos impactos causados na sociedade e na sustentabilidade em geral. A aplicação de técnicas eficientes com ferramentas de baixo custo, é uma alternativa na identificação de áreas em processo de desertificação. Dentre essas técnicas, o sensoriamento remoto vem ganhando destaque devido a sua robustez e base de dados confiáveis. Neste contexto, o objetivo desta revisão é apresentar os principais fatores que influenciam o processo de desertificação em áreas semiáridas, como também, entender os avanços dos estudos sobre desertificação por meio do uso de técnicas de sensoriamento remoto. Atualmente, muitos são os métodos utilizados para identificar áreas desertificadas ou em processo de desertificação. O uso dos índices de vegetação e de solo são fundamentais para identificação dessas áreas, visto que a ausência de cobertura vegetal e o estado do solo podem caracterizar um ambiente desertificado. O sensoriamento remoto tem auxiliado a realização de estudos para grandes áreas e representa uma alternativa promissora para o desenvolvimento de novas metodologias que possam ser utilizadas para a avaliação do risco de desertificação. Os achados desta revisão encorajam a realização de estudos e desenvolvimento de metodologias para estudo de áreas em desertificação especialmente em regiões semiáridas.

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Spatiotemporal multi-index analysis of desertification in dry Afromontane forests of northern Ethiopia

Cited by 13 publications

References 55 publications

Spatial assessment of land degradation using MEDALUS focusing on potential afforestation and reforestation areas in Ethiopia

Spatial assessment of land degradation using MEDALUS focusing on potential afforestation and reforestation areas in Ethiopia

Response of Seasonal Vegetation Dynamics to Climatic Constraints in Northeastern Burundi

Desertificação: uma visão geral dos processos e conceitos, fundamentados em aplicação de índices orbitais através do sensoriamento remoto

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