Geo-ecological spatial pattern analysis of the island of Fogo (Cape Verde)

Olehowski, Claas; Naumann, Simone; Fischer, Dominik; Siegmund, Alexander

doi:10.1016/j.gloplacha.2008.09.006

Cited by 23 publications

(8 citation statements)

References 4 publications

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“…to 1400 m a.s.l. on the slopes that are exposed to the northeastern trade winds [79], which bring the majority of moisture to the archipelago [191]. The characteristic community with D. draco subsp.…”

Section: Ecology Of Plant Communities With Dragon Treesmentioning

confidence: 99%

What We Know and What We Do Not Know about Dragon Trees?

Maděra

Forrest

Hanáček

et al. 2020

Forests

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This article is a broad review focused on dragon trees—one of the most famous groups of trees in the world, well known from ancient times. These tertiary relicts are severely endangered in most of the area where they grow. The characteristic features of the dragon tree group are described and the species belonging to this group are listed. This review gathers together current knowledge regarding the taxonomy, evolution, anatomy and morphology, physiology, and ontogeny of arborescent dragon tree species. Attention is also paid to the composition, harvesting, medicinal, and ethnobotanical use of the resin (dragons’ blood). An evaluation of population structure, distribution, ecology, threats, and nature conservation forms the final part of the review. In the conclusions we recommend further avenues of research that will be needed to effectively protect all dragon tree species.

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Section: Ecology Of Plant Communities With Dragon Treesmentioning

confidence: 99%

What We Know and What We Do Not Know about Dragon Trees?

Maděra

Forrest

Hanáček

et al. 2020

Forests

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“…Several attempts have been made to integrate the socio-economic aspect to assess desertification [91][92][93][94]. According to a new desertification paradigm which must take into account the socio-economic dimension [48], we tried to include two socio-economic indicators that are related to the phenomenon of desertification.…”

Section: Socioeconomic Factorsmentioning

confidence: 99%

Desertification Susceptibility Mapping Using Logistic Regression Analysis in the Djelfa Area, Algeria

2017

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Abstract:The main goal of this work was to identify the areas that are most susceptible to desertification in a part of the Algerian steppe, and to quantitatively assess the key factors that contribute to this desertification. In total, 139 desertified zones were mapped using field surveys and photo-interpretation. We selected 16 spectral and geomorphic predictive factors, which a priori play a significant role in desertification. They were mainly derived from Landsat 8 imagery and Shuttle Radar Topographic Mission digital elevation model (SRTM DEM). Some factors, such as the topographic position index (TPI) and curvature, were used for the first time in this kind of study. For this purpose, we adapted the logistic regression algorithm for desertification susceptibility mapping, which has been widely used for landslide susceptibility mapping. The logistic model was evaluated using the area under the receiver operating characteristic (ROC) curve. The model accuracy was 87.8%. We estimated the model uncertainties using a bootstrap method. Our analysis suggests that the predictive model is robust and stable. Our results indicate that land cover factors, including normalized difference vegetation index (NDVI) and rangeland classes, play a major role in determining desertification occurrence, while geomorphological factors have a limited impact. The predictive map shows that 44.57% of the area is classified as highly to very highly susceptible to desertification. The developed approach can be used to assess desertification in areas with similar characteristics and to guide possible actions to combat desertification.

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“…The islands with most vegetation cover (Santo Antão, Fogo, and São Nicolau) also hold the largest vegetation cover in endemic biotopes. The archipelago is severely degraded, if not, places are already a desert: Sal, Boavista, and Maio (Lobin and Zizka 1987;Brochmann et al 1997;Olehowski et al 2008).…”

Section: Geological Settingmentioning

confidence: 99%

Diffuse CO2 degassing and volcanic activity at Cape Verde islands, West Africa

et al. 2015

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Diffuse CO 2 emission surveys were carried out at São Vicente, Brava, and Fogo islands, Cape Verde, archipelago to investigate the relationship between diffuse CO 2 degassing and volcanic activity. Total amounts of diffuse CO 2 discharged through the surface environment of the islands of São Vicente, Brava, and Fogo were estimated in 226, 50, and 828 t d −1 , respectively. The highest CO 2 efflux values of the three volcanic islands systems were observed at the summit crater of Pico do Fogo (up to 15.7 kg m −2 d −1). Statistical graphical analysis of the data suggests two geochemical populations for the diffuse CO 2 emission surveys. The geometric mean of the peak population, expressed as a multiple of the geometric mean of the background population, seems to be the best diffuse CO 2 emission geochemical parameter to correlate with the volcanic activity (age of the volcanism) for these three island volcanic systems at Cape Verde. This observation is also supported by helium isotopic signature observed in the Cape Verde's fluids, fumaroles, and ground waters. This study provides useful information about the relationship between diffuse CO 2 degassing and volcanic activity at Cape Verde enhancing the use of diffuse CO 2 emission as a good geochemical tool, for volcanic monitoring at Cape Verde as well as other similar volcanic systems.

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Geo-ecological spatial pattern analysis of the island of Fogo (Cape Verde)

Cited by 23 publications

References 4 publications

What We Know and What We Do Not Know about Dragon Trees?

What We Know and What We Do Not Know about Dragon Trees?

Desertification Susceptibility Mapping Using Logistic Regression Analysis in the Djelfa Area, Algeria

Diffuse CO2 degassing and volcanic activity at Cape Verde islands, West Africa

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