Trajectory Analysis of Forest Cover Change in the Tropical Dry Forest of Burkina Faso, West Africa

In this chapter, satellite images of the years 1995, 2005, and 2015 of LANDSAT have been used. After pre-processing (geometric correction and atmospheric correction using FLAASH, LULC change dynamics have been assessed to estimate the changes in total forest cover in Purulia district through an unsupervised K-means classification scheme. To evaluate the health status, vegetation indices, namely NDVI, SAVI, and CVI, have been used. The increase in NDVI, SAVI, and CVI values was inferred as no significant degradation of Purulia forest cover. Moreover, future scenarios have been predicted by implementing a CA-MARKOV model. Using the land cover map of 1995 as the base map, and from 1995 to 2005 as training data, a land cover map of 2015 has been generated which in turn validated by the actual land cover of 2015. After validation, prediction of land cover was possible for the years 2035 and 2050. The prediction suggested that forest area will increase by approximately 4% from 2015 to 2035 and by 3% from 2035 to 2050.

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Consumptive values and local perception of dry forest decline in Burkina Faso, West Africa

Environment Development and Sustainability ◽

10.1007/s10668-009-9194-3 ◽

2009 ◽

Vol 12 (2) ◽

pp. 277-295 ◽

Cited By ~ 36

Author(s):

Souleymane Paré ◽

Patrice Savadogo ◽

Mulualem Tigabu ◽

Jean Marie Ouadba ◽

Per Christer Odén

Keyword(s):

West Africa ◽

Burkina Faso ◽

Forest Decline ◽

Dry Forest ◽

Local Perception

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Monitoring forest cover loss using multiple data streams, a case study of a tropical dry forest in Bolivia

ISPRS Journal of Photogrammetry and Remote Sensing ◽

10.1016/j.isprsjprs.2015.03.015 ◽

2015 ◽

Vol 107 ◽

pp. 112-125 ◽

Cited By ~ 57

Author(s):

Loïc Paul Dutrieux ◽

Jan Verbesselt ◽

Lammert Kooistra ◽

Martin Herold

Keyword(s):

Data Streams ◽

Forest Cover ◽

Tropical Dry Forest ◽

Dry Forest ◽

Multiple Data ◽

Multiple Data Streams ◽

Forest Cover Loss

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Flowering phenology and floral visitors of Piliostigma reticulatum in a tropical dry forest, Burkina Faso

International Journal of Biological and Chemical Sciences ◽

10.4314/ijbcs.v8i1.21 ◽

2014 ◽

Vol 8 (1) ◽

pp. 237

Author(s):

MCE Dao ◽

BO Diallo ◽

C Kabore-Zoungrana

Keyword(s):

Burkina Faso ◽

Tropical Dry Forest ◽

Flowering Phenology ◽

Dry Forest ◽

Floral Visitors ◽

Piliostigma Reticulatum

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Global tropical dry forest extent and cover: A comparative study of bioclimatic definitions using two climatic data sets

PLoS ONE ◽

10.1371/journal.pone.0252063 ◽

2021 ◽

Vol 16 (5) ◽

pp. e0252063

Author(s):

Jonathan Pando Ocón ◽

Thomas Ibanez ◽

Janet Franklin ◽

Stephanie Pau ◽

Gunnar Keppel ◽

...

Keyword(s):

Land Surface ◽

Forest Cover ◽

Tropical Dry Forest ◽

Aridity Index ◽

Dry Forest ◽

Data Sets ◽

Climatic Data ◽

Data Set ◽

Field Plots ◽

Forest Biome

There is a debate concerning the definition and extent of tropical dry forest biome and vegetation type at a global spatial scale. We identify the potential extent of the tropical dry forest biome based on bioclimatic definitions and climatic data sets to improve global estimates of distribution, cover, and change. We compared four bioclimatic definitions of the tropical dry forest biome–Murphy and Lugo, Food and Agriculture Organization (FAO), DryFlor, aridity index–using two climatic data sets: WorldClim and Climatologies at High-resolution for the Earth’s Land Surface Areas (CHELSA). We then compared each of the eight unique combinations of bioclimatic definitions and climatic data sets using 540 field plots identified as tropical dry forest from a literature search and evaluated the accuracy of World Wildlife Fund tropical and subtropical dry broadleaf forest ecoregions. We used the definition and climate data that most closely matched field data to calculate forest cover in 2000 and change from 2001 to 2020. Globally, there was low agreement (< 58%) between bioclimatic definitions and WWF ecoregions and only 40% of field plots fell within these ecoregions. FAO using CHELSA had the highest agreement with field plots (81%) and was not correlated with the biome extent. Using the FAO definition with CHELSA climatic data set, we estimate 4,931,414 km2 of closed canopy (≥ 40% forest cover) tropical dry forest in 2000 and 4,369,695 km2 in 2020 with a gross loss of 561,719 km2 (11.4%) from 2001 to 2020. Tropical dry forest biome extent varies significantly based on bioclimatic definition used, with nearly half of all tropical dry forest vegetation missed when using ecoregion boundaries alone, especially in Africa. Using site-specific field validation, we find that the FAO definition using CHELSA provides an accurate, standard, and repeatable way to assess tropical dry forest cover and change at a global scale.

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Data-Driven Forest Cover Change and Its Driving Factors Analysis in Africa

Frontiers in Environmental Science ◽

10.3389/fenvs.2021.780069 ◽

2022 ◽

Vol 9 ◽

Author(s):

Han Xiao ◽

Jianbo Liu ◽

Guojin He ◽

Xiaomei Zhang ◽

Hua Wang ◽

...

Keyword(s):

West Africa ◽

North Africa ◽

Forest Cover ◽

Arable Land ◽

Forest Area ◽

Target Area ◽

Forest Cover Change ◽

African Region ◽

Unequal Distribution ◽

Area Reduction

Forest cover plays an important role in sustaining ecological security to realize Sustainable Development Goals (SDGs). The research target area is composed of the African region which is experiencing unprecedented deforestation based on the data collection from 54 countries and regions between 2000 and 2020. Spatial autocorrelation analysis, global principal component analysis, and geographic detector model have been used as the core research tool. The temporal and spatial patterns of forest cover change in Africa and the driving effects of population growth, economic and trade, social development, arable land expansion, and other factors on forest cover change in different periods have been demonstrated. The findings are as follows: 1) extremely unequal distribution of Africa forest has caused forest area reduction in 20 years. The reduction quantity of forest has been illustrated from strong to weak: Central Africa (strongest), East Africa (higher strong), West Africa (medium), South Africa (higher weak), and North Africa (weakest). However, the forest reduction area in West Africa with the original ratio is the most significant. More than 80% of the forest area reduction in Africa has occurred in 14 countries, just five national forest areas to achieve the net growth, but the increase amount was only 1% of loss amount. 2) The spatial pattern of forest cover change in Africa contracted and clustered gradually, especially after 2012. Algeria was the hotspot cluster of Morocco and Tunisia, forming the increase area of forest cover in North Africa. Zambia, the coldest point, gathers Angola significantly, while the Democratic Republic of the Congo and Tanzania form a significantly reduced forest cover area. 3) Total population, land area, cultivated land, urban population, consumer price index, and birth rate are the main factors influencing the temporal evolution of forest cover change in Africa. It can be divided into four stages to interpret the different explanations and significance of each factor for forest cover change in the study area.

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Estructura, composición y diversidad de la selva baja caducifolia del Cerro Verde, Nizanda (Oaxaca), México

Botanical Sciences ◽

10.17129/botsci.1701 ◽

2017 ◽

pp. 19 ◽

Cited By ~ 1

Author(s):

José A. Gallardo-Cruz ◽

Jorge A. Meave ◽

Eduardo A. Pérez-García

Keyword(s):

Species Richness ◽

Forest Cover ◽

Conservation Status ◽

Tropical Dry Forest ◽

Basal Area ◽

Floristic Composition ◽

Dry Forest ◽

Tropical Region ◽

Mean Values ◽

Seasonally Dry

In this study we describe the structure, floristic composition, and diversity of the tropical dry forest established on the Cerro Verde (Verde Hill), located at Nizanda (Isthmus of Tehuantepec, Oaxaca, Mexico). We censused woody plants with DBH Ɛ 1 cm (upper stratum) present in 30 100-m2 plots, and in five 4-m2 subplots within each of them, those plants with height > 30 cm but < 1 cm DBH (lower stratum). A total of 194 species belonging to 52 families were recorded. Species richness was identical in both strata (145 species), each contributing exclusively with ca. 25% of total recorded richness. Leguminosae was the most speciose family (27), followed by Asteraceae (20) and Euphorbiaceae (18). The most frequent species were Bursera simaruba + B. aff. cinerea (not distinguished in the field), Euphorbia schlechtendalii, Pilosocereus collinsii and Capparis verrucosa. Average richness by plot was 30 species. Mean values of indices based on species richness and abundances (Berger-Parker = 0.20; Simpson = 0.09; Fisher’s[= 9.47; Shannon = 2.78; eveness = 0.82) indicated a high diversity and consequently a low dominance in this forest. Extrapolated values showed a total (upper + lower strata) density of 23,950 ind. ha-1 (830 ind. ha-1 with DBH Ɛ 10 cm), a forest cover of 446.7%, and a basal area of 53 m2 ha-1. Mean height of those individuals accounting for 10% of the highest trees by plot was 9.1 m. Tropical dry forest structure at Cerro Verde is comparable to other Mexican communities within the seasonally dry tropical region and indicates a good conservation status. This feature, together with its particular floristic composition, makes of this area a high priority site which requires inclusion in a formal conservation scheme.

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