lope national park
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The Holocene ◽  
2021 ◽  
pp. 095968362110032
Author(s):  
Laurent Bremond ◽  
Richard Oslisly ◽  
David Sebag ◽  
Ilham Bentaleb ◽  
Charly Favier ◽  
...  

Holocene paleoecological studies in tropical Africa are rare because most lakes either dried out at the termination of the African Humid Period or have since filled up. However, tropical sedge marshes can be an alternative to perform long-term ecological studies. The Lopé National Park (LNP) in Gabon is a mosaic of forest and savanna enclosed in the equatorial forest, where open areas facilitated the development of peat marshes accumulating several-meter-thick sediment. In order to reconstruct the historical dynamic in these marshes through a local and regional point of view, we compared sedimentological, continuous X-ray fluorescence, and stable isotopic analyses on sediment cores from six herbaceous marshes in the LNP. A reliable chronological frame was based on 50 14C dates, over the last 2500 years in most sites, and reaching 9000 years in one marsh. We show that the origin of these marshes is a major hydrological change, 3450 and 2300 years ago, that affected the entire region, almost concomitantly with the diffusion of Iron Age population. The sedimentation within marshes is homogenous with low intra-site variability. In contrast, high inter-sites variability evidences that the functioning of the marsh itself exerts a much more significant influence than in lakes. However, a regional event is recorded between 1400 and 800 years ago, concurrently with an archeological trace hiatus throughout the forest hinterland of West Central Africa.


Science ◽  
2020 ◽  
Vol 370 (6521) ◽  
pp. 1219-1222
Author(s):  
Emma R. Bush ◽  
Robin C. Whytock ◽  
Laila Bahaa-el-din ◽  
Stéphanie Bourgeois ◽  
Nils Bunnefeld ◽  
...  

Afrotropical forests host much of the world’s remaining megafauna, although these animals are confined to areas where direct human influences are low. We used a rare long-term dataset of tree reproduction and a photographic database of forest elephants to assess food availability and body condition of an emblematic megafauna species at Lopé National Park, Gabon. Our analysis reveals an 81% decline in fruiting over a 32-year period (1986–2018) and an 11% decline in body condition of fruit-dependent forest elephants from 2008 to 2018. Fruit famine in one of the last strongholds for African forest elephants should raise concern about the ability of this species and other fruit-dependent megafauna to persist in the long term, with potential consequences for broader ecosystem and biosphere functioning.


2020 ◽  
Vol 58 (3) ◽  
pp. 540-542 ◽  
Author(s):  
David Lehmann ◽  
Michel Louis Halbwax ◽  
Loïc Makaga ◽  
Robbie Whytock ◽  
Lisa‐Laure Ndindiwe Malata ◽  
...  

2020 ◽  
Vol 275 ◽  
pp. 104168
Author(s):  
Karl Henga-Botsikabobe ◽  
Alfred Ngomanda ◽  
Richard Oslisly ◽  
Charly Favier ◽  
Serge D. Muller ◽  
...  

2019 ◽  
Vol 11 (5) ◽  
pp. 475 ◽  
Author(s):  
Ibrahim El Moussawi ◽  
Dinh Ho Tong Minh ◽  
Nicolas Baghdadi ◽  
Chadi Abdallah ◽  
Jalal Jomaah ◽  
...  

Developing and enhancing strategies to characterize actual forests structure is a timely challenge, particularly for tropical forests. P-band synthetic aperture radar (SAR) tomography (TomoSAR) has previously been demonstrated as a powerful tool for characterizing the 3-D vertical structure of tropical forests, and its capability and potential to retrieve tropical forest structure has been discussed and assessed. On the other hand, the abilities of L-band TomoSAR are still in the early stages of development. Here, we aim to provide a better understanding of L-band TomoSAR capabilities for retrieving the 3-D structure of tropical forests and estimating the top height in dense forests. We carried out tomographic analysis using L-band UAVSAR data from the AfriSAR campaign conducted over Gabon Lopé Park in February 2016. First, it was found that L-band TomoSAR was able to penetrate into and through the canopy down to the ground, and thus the canopy and ground layers were detected correctly. The resulting TomoSAR vertical profiles were validated with a digital terrain model and canopy height model extracted from small-footprint Lidar (SFL) data. Second, there was a strong correlation between the L-band Capon beam forming profile in HH and HV polarizations with Land Vegetation Ice Sensor (LVIS) Level 1B waveform Lidar over different kinds of forest in Gabon Lopé National Park. Finally, forest top height from the L-band data was estimated and validated with SFL data, resulting in a root mean square error of 3 m and coefficient of determination of 0.92. The results demonstrate that L-band TomoSAR is capable of characterizing 3-D structure of tropical forests.


2018 ◽  
Vol 216 ◽  
pp. 626-634 ◽  
Author(s):  
Suzanne Mariëlle Marselis ◽  
Hao Tang ◽  
John David Armston ◽  
Kim Calders ◽  
Nicolas Labrière ◽  
...  

Biotropica ◽  
2016 ◽  
Vol 49 (1) ◽  
pp. 9-12 ◽  
Author(s):  
Tommaso Chiti ◽  
Vianet Mihindou ◽  
Kathryn J. Jeffery ◽  
Yadvinder Malhi ◽  
Fabiane L. De Oliveira ◽  
...  

2015 ◽  
Vol 19 (3) ◽  
pp. 5-13 ◽  
Author(s):  
Maciej Jędrusik ◽  
Andrzej Lisowski ◽  
Dieudonné Mouketou-Tarazewicz ◽  
Marc-Louis Ropivia ◽  
Bogdan Zagajewski

Abstract The purpose of this article is to evaluate the possibilities of touristic development of the La Lopé National Park and to indicate the most important barriers and limitations of the area exploitation. For this purpose a SWOT method was applied. This assignment presents the situation as of the end of 2014. The majority of the up-to-date data was collected during the mission, the purpose of which was to observe the region, and which was organized by Université Omar Bongo in Libreville and Warsaw University. The La Lopé National Park has a significant touristic potential which is very poorly used. The diagnose of the reasons for that can be an indicator for attempts to rationally use the resources of the region and present an appropriate development strategy.


PARKS ◽  
2014 ◽  
Vol 20 (1) ◽  
pp. 39-52 ◽  
Author(s):  
Kathryn J. Jeffery ◽  
Lisa Korte ◽  
Florence Palla ◽  
Gretchen Walters ◽  
Lee J.T. White ◽  
...  

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