Spatial distribution and impacts of climate change on Milicia excelsa in Benin, West Africa

Kakpo, Sunday Berlioz; Aoudji, Augustin K. N.; Gnanguenon-Guesse, Denis; Gbètoho, Alain Jaures; Koura, Kourouma; Djotan, Akotchiffor Kévin Géoffroy; Ganglo, Jean Cossi

doi:10.1007/s11676-019-01069-7

Cited by 17 publications

(4 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…birrea are currently harbored by Tanzania's protected areas network (Table 2a-c). Comparable findings were reported by Urbina-Cardona et al (2008), Meminvegni et al (2018, Kakpo et al (2021), andSrinivasulu et al (2021).…”

Section: Ecological Niches Of Sclerocarya Birrea Subspecies Under The...supporting

confidence: 75%

Modelling ecological niches of Sclerocarya birrea subspecies in Tanzania under the current and future climates

Munna,

Amuri,

Hieronimo

et al. 2023

Silva Fenn

View full text Add to dashboard Cite

The information on ecological niches of the Marula tree, Sclerocarya birrea (A. Rich.) Horchst. subspecies are needed for sustainable management of this tree, considering its nutritional, economic, and ecological benefits. However, despite Tanzania being regarded as a global genetic center of diversity of S. birrea, information on the subspecies ecological niches is lacking. We aimed to model ecological niches of S. birrea subspecies in Tanzania under the current and future climates. Ecological niches under the current climate were modelled by using ecological niche models in MaxEnt using climatic, edaphic, and topographical variables, and subspecies occurrence data. The Hadley Climate Center and National Center for Atmospheric Research's Earth System Models were used to predict ecological niches under the medium and high greenhouse gases emission scenarios for the years 2050 and 2080. Area under the curves (AUCs) were used to assess the accuracy of the models. The results show that the models were robust, with AUCs of 0.85–0.95. Annual and seasonal precipitation, elevation, and soil cation exchange capacity are the key environmental factors that define the ecological niches of the S. birrea subspecies. Ecological niches of subsp. caffra, multifoliata, and birrea are currently found in 30, 22, and 21 regions, and occupy 184 814 km2, 139 918 km2, and 28 446 km2 of Tanzania's land area respectively, which will contract by 0.4–44% due to climate change. Currently, 31–51% of ecological niches are under Tanzania’s protected areas network. The findings are important in guiding the development of conservation and domestication strategies for the S. birrea subspecies in Tanzania.

show abstract

Section: Ecological Niches Of Sclerocarya Birrea Subspecies Under The...supporting

confidence: 75%

Modelling ecological niches of Sclerocarya birrea subspecies in Tanzania under the current and future climates

Munna,

Amuri,

Hieronimo

et al. 2023

Silva Fenn

View full text Add to dashboard Cite

show abstract

“…The ethnic groups living around the forest patches include Holli , Fon and Aïzo (INSAE, 2015). The climate is of dry Guinean type with mean annual rainfall of 1200 mm and annual average temperature between 25 and 29°C (Kakpo et al, 2021). In the study area, strata of dense forest are separated by fallow lands at various stages of evolution, testifying the recent forest degradation by farmers.…”

Section: Methodsmentioning

confidence: 99%

Assessing local knowledge on the diversity and abundance of bushmeat species and hunting pressure in the fragmented forest islands of southern Benin (Dahomey Gap)

et al. 2022

View full text Add to dashboard Cite

Illegal hunting of wildlife is one of the major issues in tropical ecosystems, especially when it occurs in highly degraded habitats with forest cover fragmentation. In this study, we assessed the impact of bushmeat hunting in a large forest patch (the Lama Natural Forest; LNF) and 11 nearby forest islands, using Traditional Ecological Knowledge from 240 interviewees across 16 villages. Thirty‐five species belonging to nine orders of mammals, birds and reptiles were mentioned by local communities. Rodentia were significantly more observed in the forest islands, whereas medium‐sized mammals belonging to Carnivora, Primates, Artiodactyla, Pholidota and Hyracoida were found predominantly in LNF. Approximately 57% of the species were reported to be rare in the forest islands, whereas c. 77% were listed as abundant in LNF, confirming the role of LNF as a refuge for forest species targeted by the bushmeat trade. Generalised linear models indicated that species sighting frequencies were positively correlated with perimeters of forest patches. We found hunting pressure to be greater in forest islands in the vicinity of LNF than those further away. Our results suggest that long‐term conservation of wildlife in southern Benin may require a ‘mainland‐islands’ approach including both LNF and its surrounding forest islands.

show abstract

“…Digital Accessible Knowledge (DAK) are primary biodiversity data that are digitized, published, and made accessible on international repositories worldwide [1]. They are indispensable for data use to inform decisions on biodiversity conservation, particularly in the context of climate and global changes [2,3,4,5,6,7]. DAK completeness across taxonomic groups, temporal, and spatial patterns are indispensable for their usefulness in research [8,9,10,11], effectiveness of data use and biodiversity conservation [8,11,12,13] as well as the design of new useful data collections to enhance data use to inform decisions.…”

Section: -Introductionmentioning

confidence: 99%

Biodiversity conservation at the digital age, will Africa meet the challenge?

Ganglo

2022

Preprint

Self Cite

View full text Add to dashboard Cite

Digital accessible Knowledge (DAK) is of utmost importance for biodiversity conservation; indeed, their use is indispensable to provide evidence and strategies to support decision-making on natural resource management and sustainable use. The Global Biodiversity Information Facility (GBIF, www.gbif.org) is a mega data infrastructure with more than two billion occurrence records as of 28th May 2022. It is by far the largest initiative assembling and sharing DAK to support scientific research, conservation, and sustainable development. We decided to analyze plant data published on GBIF site at the scale of Africa. This will highlight the contribution of the continent to GBIF and thereby underline data gaps across taxonomic groups, basis of records, and geographic space. In order to achieve our purpose, we downloaded data of the Plantae kingdom from Africa. They are available at https://doi.org/10.15468/dl.f79228. We achieved data treatment and analysis using R, several packages and related functions. Although Africa is home to a rich biodiversity with many hotspots, the global data contribution of Africa to GBIF is still incredibly low (1.37%). Furthermore, there are huge disparities between African countries with South Africa contributing alone for 65% of the data of the continent. The plant data of Africa (2,713,790 occurrence records) accounted for 9.11% of the data of the continent; this underlines huge gaps between taxonomic groups. Furthermore, the Magnoliopsida is the dominant plant class with the highest number of records (79.62%) and the highest number of species (71.85%) followed by the Liliopsida with 15.10% of the records and 18.16% of the species. Two basis of records were dominant: preserved specimens (75.49%) and human observation (18.60%). In geographic space, plant data gaps are also quite huge across the continent at either spatial resolution (half degree or one degree spatial grid cells); data completeness is more achieved in West Africa, East Africa, Southern Africa, and Madagascar. The huge multidimensional data gaps identified in this study should be in priority addressed in the future data collections. Accessibility either by roads or waterways and protected areas are underpinning factors of data completeness across the continent. We deplored important data loss during the process of data cleaning; indeed the total number of records with adequate coordinates accounted for 71.03% of the initial data while the data fitness for use in completeness analysis (records with adequate coordinates and full dates) are only about 65% of the total data records initially downloaded.

show abstract

Spatial distribution and impacts of climate change on Milicia excelsa in Benin, West Africa

Cited by 17 publications

References 44 publications

Modelling ecological niches of Sclerocarya birrea subspecies in Tanzania under the current and future climates

Modelling ecological niches of Sclerocarya birrea subspecies in Tanzania under the current and future climates

Assessing local knowledge on the diversity and abundance of bushmeat species and hunting pressure in the fragmented forest islands of southern Benin (Dahomey Gap)

Biodiversity conservation at the digital age, will Africa meet the challenge?

Contact Info

Product

Resources

About