scholarly journals What Determine the Distribution and Richness of Wild Spices in the Sudano-Guinean zone of Benin, West Africa?

2019 ◽  
Author(s):  
K.M. Kafoutchoni ◽  
R. Idohou ◽  
K.V. Salako ◽  
C. Agbangla ◽  
A.E. Assogbadjo
Keyword(s):  
Species Richness ◽  
Clay Content ◽  
Global Biodiversity Information Facility ◽  
Base De Données ◽  
Precipitation Seasonality ◽  
Zanthoxylum Zanthoxyloides ◽  
Global Biodiversity ◽  
Richness Patterns ◽  
Systèmes D’Information ◽  
Biodiversity Information

AbstractIn Benin, most of the spices used for food, medicine and ceremony are gathered from the wild as little attempt has been made so far for their domestication and cultivation. Consequently, many wild spices are prone to overexploitation and threatened by habitat loss. Also, little information is available regarding their occurrence areas and the factor determining their geographical distribution and richness. This study aimed at i) mapping the distribution and the richness of 14 wild spices, and ii) assessing the drivers of their distribution and richness patterns in the Sudano-Guinean zone of Benin. Data were collected during field exploration and from the database of the Global Biodiversity Information Facility. Species distribution was mapped, and a grid of 10 × 10 km cells and a circular neighborhood option with a radius of 10 km was used to assign points to grid cells, then species richness was mapped. The species were unequally distributed across the study area. High species richness occurs in Bassila and Zou phytodistricts. Three spice-rich areas are needed to capture all the wild spices at once. Interaction of mean temperature of driest quarter, altitude, and precipitation seasonality significantly shaped the distributional range of three wild spices (Aframomum alboviolaceum, Uvaria chamae and Zanthoxylum zanthoxyloides), while the same factors in addition to clay content between 5-15 cm, contributed significantly to create appropriate conditions for the cooccurrence of several species.RésuméAu Bénin, la plupart des épices utilisées pour l’alimentation, en médecine et pour les cérémonies sont collectées dans la nature car très peu de tentatives ont été faites pour leur domestication et leur culture. Par conséquent, de nombreuses espèces d’épices sauvages sont surexploitées et se retrouvent menacées par la destruction de leur habitat. Aussi, peu d’informations sont disponibles sur leurs zones d’occurrence et les facteurs influençant leur distribution géographique et leur richesse. Cette étude visait à i) cartographier la distribution et la richesse de 14 épices sauvages, et à ii) évaluer les facteurs influençant leurs distribution et richesse dans la zone Soudano-Guinéenne du Bénin. Les données ont été collectées au cours d’explorations sur le terrain et à partir de la base de données du Global Biodiversity Information Facility. La distribution des espèces a été cartographiée et une grille de 10×10 km a servi de base pour la cartographie de la richesse en espèces. Les espèces étaient inégalement distribuées dans la zone d’étude. Des zones de grande richesse en épices sont présentes dans les phytodistricts de Bassila et du Zou. Trois zones de forte diversité en épices sont nécessaires pour capturer toute la diversité du groupe fonctionnel des épices sauvages. L’interaction de la température moyenne du trimestre le plus sèche, l’altitude, et la saisonnalité des précipitations ont significativement influencé la distribution de trois épices sauvages (Aframomum alboviolaceum, Uvaria chamae et Zanthoxylum zanthoxyloides). Ces trois facteurs, ajoutés au taux d’argile dans le sol, ont contribué à la création des conditions favorables pour la cooccurrence de plusieurs espèces d’épices sauvages.Mots clésarbre d’inférence conditionnelle, épices sauvages, espèces négligées et sousutilisée, SIG, systèmes d’information géographiques,

scholarly journals Aplicación de índices filogenéticos para la definición de prioridades de conservación en los páramos del noroeste de los Andes

2018 ◽  
Vol 66 (4) ◽  
pp. 1353
Author(s):  
Fernando Alzate ◽  
Astrid Álvarez ◽  
Daniel Rafael Miranda-Esquivel ◽  
Juan J. Morrone
Keyword(s):  
Information System ◽  
Species Richness ◽  
Conservation Priorities ◽  
Global Biodiversity Information Facility ◽  
Subsequent Loss ◽  
Global Biodiversity ◽  
The Individual ◽  
Available Information ◽  
Biodiversity Information ◽  
Data Priority

Paramos are High Andean ecosystems that harbor a diverse biota and have high endemicity, as a result of their extreme environmental conditions. We used different phylogenetic indices to define conservation priorities in the paramos of the department of Antioquia, Colombia, based on measures of their evolutionary individuality and richness complimentary. To perform the analyses, we generated a data base including 416 angiosperm taxa and 1 951 localities for a total of 12 897 distributional records compiled from surveys and reviews. Additionally, the available information in the Global Biodiversity Information Facility and the Colombian Biodiversity Information System were included. From these data, priority areas for the conservation of the paramos located in the state of Antioquia were identified, using measures of evolutionary individuality based on nodes and biotic complementarity. Taking into account only the individual phylogenetic indices, the most important paramo for conservation was Frontino-Urrao, followed by Farallones de Citará. If biotic complementarity is considered, the second most important paramo is Sonsón. Priority classifications of areas based on individuality are congruent with areas of greatest species richness. We conclude that it is necessary and urgent to preserve the paramos given their vulnerability and the subsequent loss of the ecosystem services that they provide, if they are exposed to degradation or disappearance.

scholarly journals The Effect of Climate and Human Pressures on Functional Diversity and Species Richness Patterns of Amphibians, Reptiles and Mammals in Europe

Diversity ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 275
Author(s):  
Mariana A. Tsianou ◽  
Maria Lazarina ◽  
Danai-Eleni Michailidou ◽  
Aristi Andrikou-Charitidou ◽  
Stefanos P. Sgardelis ◽  
...  
Keyword(s):  
Species Richness ◽  
Functional Diversity ◽  
Agricultural Land ◽  
Influential Factor ◽  
Climatic Variables ◽  
Quadratic Entropy ◽  
Functional Richness ◽  
Precipitation Seasonality ◽  
Rao’S Quadratic Entropy ◽  
Richness Patterns

The ongoing biodiversity crisis reinforces the urgent need to unravel diversity patterns and the underlying processes shaping them. Although taxonomic diversity has been extensively studied and is considered the common currency, simultaneously conserving other facets of diversity (e.g., functional diversity) is critical to ensure ecosystem functioning and the provision of ecosystem services. Here, we explored the effect of key climatic factors (temperature, precipitation, temperature seasonality, and precipitation seasonality) and factors reflecting human pressures (agricultural land, urban land, land-cover diversity, and human population density) on the functional diversity (functional richness and Rao’s quadratic entropy) and species richness of amphibians (68 species), reptiles (107 species), and mammals (176 species) in Europe. We explored the relationship between different predictors and diversity metrics using generalized additive mixed model analysis, to capture non-linear relationships and to account for spatial autocorrelation. We found that at this broad continental spatial scale, climatic variables exerted a significant effect on the functional diversity and species richness of all taxa. On the other hand, variables reflecting human pressures contributed significantly in the models even though their explanatory power was lower compared to climatic variables. In most cases, functional richness and Rao’s quadratic entropy responded similarly to climate and human pressures. In conclusion, climate is the most influential factor in shaping both the functional diversity and species richness patterns of amphibians, reptiles, and mammals in Europe. However, incorporating factors reflecting human pressures complementary to climate could be conducive to us understanding the drivers of functional diversity and richness patterns.

scholarly journals The InBIO Barcoding Initiative Database: DNA barcodes of Portuguese Diptera 01

2020 ◽  
Vol 8 ◽  
Author(s):  
Sonia Ferreira ◽  
Rui Andrade ◽  
Ana Gonçalves ◽  
Pedro Sousa ◽  
Joana Paupério ◽  
...  
Keyword(s):  
Species Level ◽  
Distribution Data ◽  
Dna Barcodes ◽  
Online Database ◽  
Global Biodiversity Information Facility ◽  
Life Data ◽  
Tagus River ◽  
Global Biodiversity ◽  
Biodiversity Information ◽  
Dipteran Species

The InBIO Barcoding Initiative (IBI) Diptera 01 dataset contains records of 203 specimens of Diptera. All specimens have been morphologically identified to species level, and belong to 154 species in total. The species represented in this dataset correspond to about 10% of continental Portugal dipteran species diversity. All specimens were collected north of the Tagus river in Portugal. Sampling took place from 2014 to 2018, and specimens are deposited in the IBI collection at CIBIO, Research Center in Biodiversity and Genetic Resources. This dataset contributes to the knowledge on the DNA barcodes and distribution of 154 species of Diptera from Portugal and is the first of the planned IBI database public releases, which will make available genetic and distribution data for a series of taxa. All specimens have their DNA barcodes made publicly available in the Barcode of Life Data System (BOLD) online database and the distribution dataset can be freely accessed through the Global Biodiversity Information Facility (GBIF).

scholarly journals Using Global Biodiversity Information Facility Occurrence Data for Automated Invasive Alien Species Risk Mapping 

2020 ◽  
Vol 4 ◽  
Author(s):  
Amy Davis ◽  
Tim Adriaens ◽  
Rozemien De Troch ◽  
Peter Desmet ◽  
Quentin Groom ◽  
...  
Keyword(s):  
Alien Species ◽  
Vascular Plants ◽  
Invasive Alien Species ◽  
Risk Assessments ◽  
Sampling Effort ◽  
Global Biodiversity Information Facility ◽  
Global Biodiversity ◽  
Risk Maps ◽  
Species Occurrences ◽  
Biodiversity Information

To support invasive alien species risk assessments, the Tracking Invasive Alien Species (TrIAS) project has developed an automated, open, workflow incorporating state-of-the-art species distribution modelling practices to create risk maps using the open source language R. It is based on Global Biodiversity Information Facility (GBIF) data and openly published environmental data layers characterizing climate and land cover. Our workflow requires only a species name and generates an ensemble of machine-learning algorithms (Random Forest, Boosted Regression Trees, K-Nearest Neighbors and AdaBoost) stacked together as a meta-model to produce the final risk map at 1 km2 resolution (Fig. 1). Risk maps are generated automatically for standard Intergovernmental Panel on Climate Change (IPCC) greenhouse gas emission scenarios and are accompanied by maps illustrating the confidence of each individual prediction across space, thus enabling the intuitive visualization and understanding of how the confidence of the model varies across space and scenario (Fig. 2). The effects of sampling bias are accounted for by providing options to: use the sampling effort of the higher taxon the modelled species belongs to (e.g., vascular plants), and to thin species occurrences. use the sampling effort of the higher taxon the modelled species belongs to (e.g., vascular plants), and to thin species occurrences. The risk maps generated by our workflow are defensible and repeatable and provide forecasts of alien species distributions under further climate change scenarios. They can be used to support risk assessments and guide surveillance efforts on alien species in Europe. The detailied modeling framework and code are available on GitHub: https://github.com/trias-project.

scholarly journals Diversity and Distribution Patterns of Geometrid Moths (Geometridae, Lepidoptera) in Mongolia

Diversity ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 186
Author(s):  
Khishigdelger Enkhtur ◽  
Bazartseren Boldgiv ◽  
Martin Pfeiffer
Keyword(s):  
Species Richness ◽  
Environmental Variables ◽  
Environmental Changes ◽  
Distribution Patterns ◽  
Maximum Temperature ◽  
Forest Steppe ◽  
Global Biodiversity Information Facility ◽  
Scientific Papers ◽  
Geometrid Moth ◽  
Biodiversity Information

Geometrids are a species-rich group of moths that serve as reliable indicators for environmental changes. Little is known about the Mongolian moth fauna, and there is no comprehensive review of species richness, diversity, and distribution patterns of geometrid moths in the country. Our study aims to review the existing knowledge on geometrid moths in Mongolia. We compiled geometrid moth records from published scientific papers, our own research, and from the Global Biodiversity Information Facility (GBIF) to produce a checklist of geometrid moths of Mongolia. Additionally, we analyzed spatial patterns, species richness, and diversity of geometrid moths within 14 ecoregions of Mongolia and evaluated environmental variables for their distribution. In total, we compiled 1973-point records of 388 geometrid species. The most species-rich ecoregion in Mongolia was Daurian Forest Steppe with 142 species. Annual precipitation and maximum temperature of the warmest month were the most important environmental variables that correlated with NMDS axes in an analysis of geometrid assemblages of different ecoregions in Mongolia.

Development and Deployment of an Ethnobotanical and Phytochemical Knowledge Database of Malaysia

2013 ◽  
Vol 64 (2) ◽  
Author(s):  
Shakina Mohd Talkah ◽  
Iylia Zulkiflee ◽  
Mohd Shahir Shamsir
Keyword(s):  
Scientific Literature ◽  
Pharmaceutical Compounds ◽  
South East Asia ◽  
Online Database ◽  
Global Biodiversity Information Facility ◽  
Knowledge Database ◽  
Global Biodiversity ◽  
Digital Knowledge ◽  
Biodiversity Information ◽  
Scientific Name

Currently, all the information regarding ethnobotanical, phytochemical and pharmaceutical information of South East Asia are scattered over many different publications, depositories and databases using various digital and analogue formats. Although there are taxonomic databases of medicinal plants, they are not linked to phytochemical and pharmaceutical information which are often resides in scientific literature. We present Phyknome; an ethnobotanical and phytochemical database with more than 22,000 species of ethnoflora of Asia. The creation of this database will enable a biotechnology researcher to seek and identify ethnobotanical information based on a species’ scientific name, description and phytochemical information. It is constructed using a digitization pipeline that allow high throughput digitization of archival data, an automated dataminer to mine for pharmaceutical compounds information and an online database to integrated these information. The main functions include an automated taxonomy, bibliography and API interface with primary databases such as Global Biodiversity Information Facility (GBIF). We believe that Phyknome will contribute to the digital knowledge ecosystem to elevate access and provide tools for ethnobotanical research and contributes to the management, assessment and stewardship of biodiversity. The database is available at http://mapping.fbb.utm.my/phyknome/.

Sign in / Sign up

Export Citation Format

Share Document