Drought impacts on vegetation activity in the Mediterranean region: An assessment using remote sensing data and multi-scale drought indicators

Gouveia, Célia M.; Trigo, Ricardo M.; Beguerı́a, Santiago; Vicente‐Serrano, Sergio M.

doi:10.1016/j.gloplacha.2016.06.011

Cited by 198 publications

(128 citation statements)

References 74 publications

Supporting

Mentioning

124

Contrasting

Order By: Relevance

“…Forests cover approximately 3.7 million hectares (only 1.5% of the land area) in Algeria, half of which are degraded forest or maquis (Pswarayi-Riddihough 2002), concentrated in some wilayas (provinces) of the Northern part of the country, with a negative gradient East-West. Algerian forests are currently in a critical state (DGF 2004) due to human activities (MeddourSahar 2014), which add a negative impact to the extreme climatic factors of the country (heat waves in combination with drought - Duguy et al 2013, Cardil et al 2014, Gouveia et al 2016. Fire, extensive livestock breeding, overgrazing, clearing, illegal forest harvesting, and urbanization contribute to forest degradation.…”

Section: Introductionmentioning

confidence: 99%

Wildfire risk and its perception in Kabylia (Algeria)

Meddour-Sahar¹,

Leone²,

Limani³

et al. 2018

iForest

View full text Add to dashboard Cite

(1) This research aims to study wildfire perception by residents living in Wildland Urban Interface (WUI) in Kabylia (Algeria). We conducted an exploratory qualitative survey contacting 254 randomly selected individuals in eight hamlets of the Mizrana forest. Face-to-face questionnaires were administered to understand the fire risk problem. Respondents think that their homes are not exposed to fire risk and perceive their hamlets are protected against wildfires; on the contrary, they perceive their property (fields, livestock, olive trees, etc.) as exposed to fire risk. The vast majority of respondents declare to know how to defend themselves in the case of a fire event, using water and hand tools. Residents mainly use fire for stubble burning and disposal of domestic waste. Their skill in using fire as a land management tool respectively comes from their fathers, grandfathers and mothers. Results show the necessity of making resident more aware of the risks that wildfires pose to them. A culture of risk needs to be developed within the territory to limit vulnerability and the likelihood of destructive fires.

show abstract

Section: Introductionmentioning

confidence: 99%

Wildfire risk and its perception in Kabylia (Algeria)

Meddour-Sahar¹,

Leone²,

Limani³

et al. 2018

iForest

View full text Add to dashboard Cite

show abstract

“…Consequently, the expanse of severe drought events and increasing aridity, along with the rising temperatures and more wildfires, might prompt and exacerbate land degradation processes (Pickup 1998;Reynolds et al 2007), reduce carbon sequestration and enhance more regional warming by the end of century (Huang et al 2015). Given that Mediterranean regions have been highly favored and exploited by humans for habitation, agriculture and recreation (Gouveia et al 2016), and dH changes could result in fundamental shifts in natural ecosystems and human settlements, then there is aggravated risk for food security, and potential for civil conflict and economic decline in the future. For example, Fraser et al (2013) found that wheat and maize production in the northeastern Mediterranean Sea area is extremely vulnerable to increasing dH in the future, because those regional societies have been reducing socioeconomic efforts to adapt to climate change.…”

Section: Projection For the Period 2071-2099mentioning

confidence: 99%

Global projections of drought hazard in a warming climate: a prime for disaster risk management

2017

View full text Add to dashboard Cite

changes emerge for global Mediterranean ecosystems and the Amazon region, which are identified as possible hotspots for future water security issues. Taken together, projections of dH changes point towards two dilemmas: (1) in the near-term, stake-holders are left worrying about projected increasing dH over large regions, but lack of actionable model agreement to take effective decisions related to local prevention and adaptation initiatives; (2) in the long-term, models demonstrate remarkable agreement, but stake-holders lack actionable knowledge to manage potential impacts far distant from actual human-dominated environments. We conclude that the major challenge for risk management is not to adapt human populations or their activities to dH changes, but to progress on global initiatives that mitigate their impacts in the whole carbon cycle by late-century.

show abstract

“…The figure shows the natural vegetation in green (15.54%), the crops in yellow (25.55%), the impervious surfaces in red (17.69%), and the bare soil in sienna (28.18%). A cluster analysis is an unsupervised classification method that only classifies the groups on the basis of the similarities among data, so that the cluster analysis procedures are irrelevant to the threshold of the fractions [19,[40][41][42]. Because it has been previously assumed that there exist five categories of typical land uses in the study area (impervious surface, bare soil, natural vegetation, crop, and water) but water regions extracted by MNDWI do not participate in the cluster analysis, four pixel-groups of undefined properties were obtained.…”

Section: Distribution Of Endmember Fractionsmentioning

confidence: 99%

The Relationship between Urban Land Surface Material Fractions and Brightness Temperature Based on MESMA

2017

View full text Add to dashboard Cite

Abstract:The relationship between urban land surface material fractions (ULSMFs) and brightness temperature has long attracted attention in research on urban environments. In this paper, a multiple endmember spectral mixture analysis (MESMA) method was applied to extract vegetation-impervious surface-soil (V-I-S) fractions in each pixel, and the surface brightness temperature was derived by using the radiation in the upper atmosphere, on the basis of Landsat 8 images. Then, a clustering analysis, ternary triangular chart (TTC), and a multivariate statistical analysis were applied to ascertain the relationship between the fractions in each pixel and the land surface brightness temperature (LSBT). The hypsometric TTC, as well as the geographical distribution features of the LSBT, revealed that the changes in LSBT were associated with the high fractions of impervious surfaces (or vegetation), in addition to the temperature distribution differences across locations with varying land-cover types. The data fitting results showed that the comprehensive endmember fractions of V-I-S explained 98.6% of fluctuating LSBT, and the impervious surface fraction had a positive impact on the LSBT, whereas the fraction of vegetation had a negative impact on the LSBT. Keywords: ternary triangular chart (TTC); sub-pixel unmixing; multiple endmember spectral mixture analysis (MESMA); Landsat 8; land surface brightness temperature (LSBT)

show abstract

Drought impacts on vegetation activity in the Mediterranean region: An assessment using remote sensing data and multi-scale drought indicators

Cited by 198 publications

References 74 publications

Wildfire risk and its perception in Kabylia (Algeria)

Wildfire risk and its perception in Kabylia (Algeria)

Global projections of drought hazard in a warming climate: a prime for disaster risk management

The Relationship between Urban Land Surface Material Fractions and Brightness Temperature Based on MESMA

Contact Info

Product

Resources

About