Data Apps
EcoImagesEcoPlots
Tools
CoESRA Virtual DesktopData DiscoveryLandscape Data VisualiserSHaRED Data SubmissionTERN Linked Data ResourcesTERN Account
Resources
Terms Of UseDisclaimerCopyrightData LicensingHelp & Support
logo
Data

Data Discovery

  • Home
  • Search
  • Resources
    LTES SurveyResearch Infrastructure
    TDDP User ManualTDDP API

A dataset on spatial distribution and association patterns of three species from moist semi deciduous forest 

Ver: 1
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 57 times
Accessed 3 times
Dataset Created: 2017-01-25
Dataset Published: 2019-11-15
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPSpecies_List.txtHTTPdataset_full.csvHTTPfigures.xlsHTTPro-crate-metadata.json
How to cite this collection:
Appolinaire, W., Sourou, K., Houetchegnon, T. & Ouinsavi, C. (2019). A dataset on spatial distribution and association patterns of three species from moist semi deciduous forest. Version 1. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/5dce7f2714885 
Knowledge on the spatial distribution and inter-specific association patterns in tree species is essential in plant ecology to understand ecological mechanisms and dynamic process operating in spatial distribution of a tree population in a plant community. We measured and compiled datasets on three tropical tree species from a moist semi deciduous forest. We used the software Programita to perform univariate and bivariate point pattern analysis by Ripley's L-function. These datasets can be used to inform on possibilities of interaction of these species in forest stands. These datasets can be also used to access the capacity of each tree of Mansonia altissima var. altissima A. Chev. to develop and grow or its exclusion probability within a plant community. Mansonia altissima A. Chev. is a plant species represented by only one-population in a moist semi-deciduous forest in Republic of Benin. Our project aims to understand its ecology for restoration and conservation purposes within its natural habitat as well as other habitats inside of its distribution range. 
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging. 
Purpose
Context: Mansonia altissima A. Chev. is a species with economic value found in moist semi-deciduous forests of tropical Africa. The analysis of spatial distribution patterns can help understand the ecology of this species in forest stands dominated by emergent pioneer tree species like Ceiba pentandra (L.) Gaertn and Triplochiton scleroxylon K. Schum.
Aims: The main objective was to assess the spatial distribution patterns of M. altissima and spatial relationships with C. pentandra and T. scleroxylon in their natural habitat.
Results: Aggregations were detected in juvenile and premature M. altissima. Size and scales of spatial aggregation were inversely proportional to the DBH size. Inters-pecific associations were only significant at the similar life stages for M. altissima and C. pentandra. Both species were positively associated within radius ≥ 3 m. At non-similar life stages they displayed a repulsion or random pattern. M. altissima and T. scleroxylon generally displayed the independent distribution patterns at all life stages.
Conclusion: C. pentandra like pioneer could play the role of nurse plants in management of M. altissima populations providing them a moderate forest shade in large gaps for first years.  
Lineage
Spatial Point Pattern Analysis: The sampling design was constituted by ten (10) forest dynamics plots, one-ha each. A plot was divided into sixteen (16) consecutive subplots, 625 m² (25 m x 25 m), constituting the unities of data collection. All individual trees of M. altissima, C. pentandra and T. scleroxylon with a diametergreater than or equal to 1 cm were measured. The position of each tree was determined in two orthonormal vectors whose origin was fixed to upper left corner of each subplot. Geographical coordinates (x ; y) of a tree A within one-ha plot were determined as follow: A(x ; y) = (x_1 + x_0 ; y_1 + y_0). For trees belonging to the same subplot, distances x_0 and y_0 take the values 0 m, 25 m, 50 m or 75 m according to the position of the subplot (25 m x 25 m) within the one-ha plot. In each subplot, distances x_1 and y_1 define the position of a tree A in orthonormal vectors.
The attached metadata has is made from a CSV file named "dataset_full" containing a spreadsheet named "full" for full data of the three species.This dataset file contains five columns. The first "Species_names" contains the scientific name of species. The second column named "Life_stages" contains the three life stages of species. The third column named "DBH(cm)" contains the diameter at breast height, measured at 1.3 m above ground. The fourth and fifth column named "X(m), Y(m)" contain the geographical coordinates of trees. Note that another file named "figures" contains the summary statistics from analyses performed with file "dataset_full".
The file named "figures" contains four spreadsheets. The spreadsheet named "Mansonia_LifeStages" contains the summary statistics and spatial distribution patterns of Mansonia altissima var. altissima in each life stage. The spreadsheet named "associations_Masonia" contains the summary statistics and intraspecific association patterns of Mansonia altissima trees. The spreadsheet named "Masonia&Ceiba" contains the summary statistics and interspecific association patterns between Mansonia altissima and Ceiba pentandra. The spreadsheet named "Masonia&Triplochiton" contains the summary statistics and inter-specific association patterns between Mansonia altissima and Triplochiton scleroxylon. 
Method DocumentationData not provided.
Procedure StepsData not provided.
This study was conducted in the moist semi-deciduous forest of Adakplamè in Republic of Benin, West Africa.
Temporal Coverage
From 2017-01-25 to 2018-03-04 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

ANZSRC - FOR
Conservation and biodiversity
Ecology
Ecosystem function
Environmental rehabilitation and restoration
GCMD Sciences
AGRICULTURE - FOREST CONSERVATION
AGRICULTURE - FOREST MANAGEMENT
BIOSPHERE - DECIDUOUS VEGETATION
LAND SURFACE - RECLAMATION/REVEGETATION/RESTORATION
Horizontal Resolution
1 km - < 10 km or approximately .01 degree - < .09 degree
Parameters
diameter at breast height
field species name
vegetation growth stage
Temporal Resolution
Monthly - < Annual
Topic
biota
User Defined
Competition/Resource Partitioning
Ecological Succession
Habitat Restoration
Restoration Ecology
Author
Appolinaire, Wedjangnon
Co-Author
Sourou, Kuiga
Houetchegnon, Towanou
Ouinsavi, Christine
Contact Point
Appolinaire, Wedjangnon
Publisher
Terrestrial Ecosystem Research Network
Export to DCATExport to BibTeXExport to EndNote/Zotero
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
Contact Us
Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
(C)2019 Laboratoire d'Etudes et de Recherches Forestières. Rights owned by Laboratoire d'Etudes et de Recherches Forestières. 
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 
TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting 

Contact us

Physical & Mail Address
The University of Queensland
Long Pocket Precinct
Level 5, Foxtail Building #1019
80 Meiers Road
Indooroopilly QLD 4068 Australia

General enquiries
P: (07) 3365 9097
tern@uq.edu.au

Data Support
esupport@tern.org.au

Subscribe for project updates, data releases, research findings, and users stories direct to your inbox.

Funding

TERN is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy, NCRIS.

Co-investment

Accreditation

CoreTrustSeal

Resources

Terms Of Use

Disclaimer

Copyright

Data Licensing

Help & Support

Key Operating Partners
Version:6.2.22