References of "Bogaert, Jan"
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See detailEtude des feux d'aménagement en zone tropicale semi-aride: cas du Parc Régional du W du Niger
Diouf, A; Barbier, N; Saadou, M et al

Poster (2012)

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See detailDynamique des paysages forestiers et savanicoles du Sud et du Nord-Est du Burundi
Havyarimana, F; Bigendako, M J; Bogaert, Jan ULg et al

Poster (2012)

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See detailDynamique paysagère au Nord-Bénin (Afrique de l'Ouest)
Mama, A; Sinsin, B; Bogaert, Jan ULg et al

Poster (2012)

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See detailA classification indices-based model for net primary productivity (NPP) and potential productivity of vegetation in China
Lin, Huilong; Zhao, Jun; Liang, Tiangang et al

in International Journal of Biomathematics (2012), 5

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See detailModelling the spatial distribution of endemic Caesalpinioideae in Central Africa, a contribution to the evaluation of actual protected areas in the region
Ndayishimiye, J.; Greve, M.; Stoffelen, P. et al

in International Journal of Biodiversity and Conservation (2012), 4

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See detailDeterminants and dynamics of banded vegetation pattern migration in arid climates
Deblauwe, V.; Couteron, P.; Bogaert, Jan ULg et al

in Ecological Monographs (2012), 82

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See detailMaximum entropy at intermediate anthropogenic dynamics
Vranken, Isabelle ULg; Bogaert, Jan ULg

in Jones, Bruce; Fu, Bojie (Eds.) The 8th World congress of the International Association of Landscape Ecology: Proceedings, Beijing, August 18-23, 2011 (2011, August 20)

Landscape entropy represents heterogeneity within a landscape (Renyi, 1961; Bogaert et al., 2005). Previous researches found increasing values of entropy by studying a limited number of zones increasingly ... [more ▼]

Landscape entropy represents heterogeneity within a landscape (Renyi, 1961; Bogaert et al., 2005). Previous researches found increasing values of entropy by studying a limited number of zones increasingly affected by anthropogenic effect (O’Neill et al., 1988; Bogaert et al., 2005). The present research aims to generalise the relationship between anthropogenic effect and landscape entropy, with a further goal of linking these concepts to overall biodiversity. 16 study zones from classified LANDSAT TM scenes and Africover maps presenting different anthropogenic effect intensities have been used (Djibu et al., 2008; Bamba et al., 2010; Barima et al., 2010; Munyemba, 2010; Vranken et al., 2011). Simpson's H diversity index based on class number has been used for entropy measurement (Renyi, 1961; Pielou, 1975; Shannon and Weaver, 1963). 1-H has been retained to get the relationship between the index and diversity directly proportional. For anthropogenic effect measurement, O’Neill’s U disturbance index, quotient between anthropogenic and natural areas, has been used (O’Neill et al., 1988). Log H has been retained to linearise the exponential relationship between the index and anthropogenic effect. Correlation between those variables has then been analysed. The scatter plot of the 16 study zones shows a Gaussian curve (Fig. 1) presenting maximal landscape entropy at intermediate anthropogenic effect. This distribution has been modelled by a second order polynomial regression with determination coefficient and significance. This phenomenon has been interpreted in terms of spatial transformation processes (Bogaert et al., 2004) and linked to the habitat heterogeneity hypothesis (Tews, 2004), as well as the intermediate disturbance hypothesis (Connell, 1978; Lindenmayer and Brugman, 2005). [less ▲]

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See detailIdentification and Measurement of Anthropogenic Effects in Landscapes
Bogaert, Jan ULg; Vranken, Isabelle ULg; Bastin, Jean-François ULg et al

in Jones, Bruce; Fu, Bojie (Eds.) The 8th World congress of the International Association of Landscape Ecology: Proceedings, Beijing, August 18-23, 2011 (2011, August 20)

As a consequence of anthropogenic pressure, landscapes change; deforestation is a well-known example of this type of human-driven landscape change. Landscapes change 42 from entirely natural to ... [more ▼]

As a consequence of anthropogenic pressure, landscapes change; deforestation is a well-known example of this type of human-driven landscape change. Landscapes change 42 from entirely natural to anthropogenic or cultural, in which landscape composition is marked by land covers and uses directly related to the civil society, such as degraded vegetations, agriculture, urban zones, or road networks. Landscape dynamics can be quantified by landscape pattern analysis. Many landscape metrics are available to capture the different features of pattern change. As a consequence of the pattern/process paradigm, the ecological consequences of the observed dynamics can be linked to ecosystem processes and characteristics, such as biodiversity. By means of a series of case studies linking field observations of fauna and flora with cartographic and demographic data, the importance of pattern analysis and landscape management is underlined, as well as the diversity in types of anthropogenic landscape change. Conclusions are drawn with regard to the ecological impact of landscape change. Guidelines are formulated for the characterization and analysis of anthropogenic effects in landscapes by means of pattern analysis. [less ▲]

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See detailStructure spatiale et impact écologique des processus d'anthropisation des paysages terrestres: développement d'une instrumentation générique d'analyse
Vranken, Isabelle ULg; Bogaert, Jan ULg

Poster (2011, March 28)

The current research project aims to develop a generic set of analysis methods which enables to characterize quantitatively anthropogenic degradation of terrestrial ecosystems. This characterization will ... [more ▼]

The current research project aims to develop a generic set of analysis methods which enables to characterize quantitatively anthropogenic degradation of terrestrial ecosystems. This characterization will assist in landscape planning oriented towards a sustainable management of human impacts and towards a restoration of degraded ecosystems. The analysis methods will enable to detect landscape degradation and its anthropogenic drivers based on their spatial properties, a type of information that is less complex and less expensive to obtain than ecological data collected in situ. The project is composed of two parts: (1) methodological research and development, based on the principles of landscape ecology and combined with other disciplines like remote sensing, geographic information systems, sociology and agronomy; (2) application of the developed pattern metrics on new study cases for evaluation and validation. Using study cases of degradation situated worldwide, the development of a typology will enable to identify, classify and analyze the causes of degradation, their spatial properties and the ecosystems involved. These study cases will be chosen based on the types of ecosystems degraded, the spatial scale of degradation, the climatic zone, and the intensity and speed of landscape degradation. Every type will be analyzed with regard to its impact on spatial pattern. Afterwards, the different metrics will be evaluated statistically for comparison with regard to their potential to capture anthropogenic effects. The development of new metrics is hereby not excluded. Critical thresholds will be defined in order to detect critical degradation levels of the terrestrial ecosystems. The best metrics selected in this way will be calculated for new cases of anthropogenic impacts on landscapes, cases selected by application of the aforementioned typology, in order to validate the correlation between metric outcomes and in situ observations. [less ▲]

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See detailEcological impact of habitat loss on African landscapes and diversity
Vranken, Isabelle ULg; Djibu Kabulu, J P; Munyemba Kankumbi, F et al

in Daniels, J A (Ed.) Advances in environmental research, volume 14 (2011)

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See detailTropical forest carbon stocks estimates. Is tree aboveground biomass variability at the landscape scale really non-significant in a REDD+ context?
Bastin, Jean-François ULg; Bogaert, Jan ULg; De Cannière, C

in Research Priorities in Tropical Silviculture: Towards New Paradigms? (2011)

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See detailAnalyse de la flore des jachères du Burundi
Bangirimana, F; Bigendako, M J; Havyarimana, F et al

in Bulletin Scientifique de l'Institut National pour l'Environnement et la Conservation de la Nature (INECN) (2011), 10

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See detailDeforestation in Central and West Africa: landscape dynamics, anthropogenic effects and ecological consequences.
Barima, Y S S; Djibu, J P; Alongo, S et al

in Daniels, J A (Ed.) Advances in Environmental Research - Volume 7 (2011)

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See detailAnalyse de la dégradation de la végétation forestière de l’Île Mbiye dans les environs de Kisangani (R.D. Congo)
Nshimba, SM; Bamba, I; Iyongo, L et al

in Annales de la Faculté des Sciences, Université de Kisangani (2011), 14

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See detailEffects of Fabaceae cover on soil parameters and analysis of environmental determinants of floristic variability in North-Eastern Ruvubu, Burundi
Masharabu, T.; Noret, N.; Bigendako, M. J. et al

in International Journal of Current Trends in Science and Technology (2011), 2(2), 113-124

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See detailA methodological framework to quantify anthropogenic effects on landscape pattern.
Bogaert, Jan ULg; Barima, Y S S; Ji, J et al

in Hong, S-K; Wu, J; Kim, J-E (Eds.) et al Landscape Ecology in Asian Cultures. Ecological Research Monographs. (2011)

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See detailMultiscalar analysis of the spatial pattern of forest ecosystems in Central Africa justified by the pattern/process paradigm: two case studies
Bastin, Jean-François ULg; Djibu, J P; Havyarimana, F et al

in Boehm, D A (Ed.) Forestry: research, ecology and policies (2011)

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See detailEnvironmental modulation of self-organized periodic vegetation patterns in Sudan
Deblauwe, V; Couteron, P; Lejeune, O et al

in Ecography (2011), 34

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