1 - Title of the dataset

Solving the fourth-corner problem: Forecasting ecosystem primary production from spatial multispecies trait-based models   

2 – A brief description of the dataset.
The dataset contains environmental (Excel Sheet 1), species counts (Excel Sheet 2), and functional trait (Excel Sheet 3) data collected from the Sundarbans mangrove forest in Bangladesh.

In Excel Sheet 1, the rows in the first column contains the plot (permanent sample plot, PSP) numbers. 
The remaining columns represent the 
> latitude & longitude of the plots 
> Survey year
> Measured values of NH4(gm/Kg), P(mg/Kg), K(gm/Kg), Salinity (dS/m), Silt (%), pH, URP (% upriver) & Harvest (total number of harvested trees in each plot since 1986). 

In Excel Sheet 2, the rows in the first column contains the plot numbers.
The remaing columns represent the 
> Species names 
> Survey year
> Plot-vel species counts 

In Excel Sheet 2, vernacular name of the species are used. The scientific name of the species are (in parentheses): 

Khalshi (Aegiceras corniculatum), Amur (Amoora cucullata), Baen(Avicennia officinalis), Kakra (Bruguiera sexangula),	
Dagor (Cerbera manghas), Goran (Ceriops decandra), Singra (Cynometra ramiflora), Gewa (Excoecaria agallocha), 	
Batul (Excoecaria indica), Sundri (Heritiera fomes), Bhaela (Intsia bijuga), Kirpa (Lumnitzera racemosa), Narikali (Hypobathrum racemosum),
Karanja (Pongamia pinnata), Jhana (Rhizophora mucronata), Keora (Sonneratia apetala), Bhola (Talipariti tiliaceum)	
Nona Jhao (Tamarix dioica), Dhundal (Xylocarpus granatum) and Passur (Xylocarpus mekongensis).
 
In Excel Sheet 3, the rows in the first colum contains the plot numbers.
The remaing columns represent the 
> Survey year 
> Species names
> Measured values tree canopy height (m), specific leaf area (SLA, cm2/gm), wood density (gm/cm3),leaf succulence (gm/dm2), and basal area (m2) of the individual trees.


Methodology

Tree (counts) and environmental data were collected from the 110 permanent sample plots (PSP, 0.2 ha each) in the Sundarbans. 
Nine soil samples were collected from each PSP (Sarker et al. 2019) and analysed to measure NH4(gm/Kg), P(mg/Kg), K(gm/Kg), Salinity (dS/m) and Silt (%).
For determining the percentage of slit, the hydrometer method (Gee and Bauder 1986) was used. 
Soil salinity (as electrical conductivity) was measured in a 1:5 distilled water:soil dilution (Hardie & Doyle, 2012) 
using a conductivity meter. Soil pH was measured in the field using a soil pH meter. The Kjeldahl method (Bremner & Breitenbeck, 1983) was used to determine soil NH4, 
and the molybdovanadate method (Ueda & Wada, 1970) was used to determine total P concentrations. Soil K concentrations was measured using an atomic absorption spectrophotometer.
Upriver position (URP) of the PSPs were measured from GIS data indicating downstream, intermediate or upstream location relative to the sea. 

All functional traits were measured following standard trait measurement protocols (Pérez-Harguindeguy et al. 2013). From each PSP, we recorded trait measurements for 3 individual 
trees per species. For each tree, we collected a wood sample and at least three mature leaves from sun-exposed branches for laboratory measurements. All trait samples, as well as 
the environmental data, were collected in 2014 (January – June). We determined canopy height (m) using a Suunto clinometer. For specific leaf area, we (1) measured green weights of 
the leaves immediately after collection in the field, (2) derived fresh area of the leaves using their images (captured by a digital camera - Nikon D5500) in Adobe Photoshop CS6, 
(3) quantified dry mass of the leaves using a digital balance (precision ~ 0.001 g) after keeping the green leaves in an oven at 65⁰C for 72 hours, and (4) calculated SLA as 
fresh leaf area (cm2) / dry mass (g). Leaf succulence was calculated as leaf green mass (g) – leaf dry mass (g) / fresh leaf area (dm2) (Wang et al. 2011). For WD, we 
(1) collected wood cores using an increment borer, (2) estimated fresh volume of the cores using the formula of a cylinder (V=πr2 l, where r = radius of the core, and l = length of the core), 
(3) quantified dry mass of the cores using a digital balance (precision ~ 0.001 g) after keeping the fresh cores in an oven at 105°C for 72 hours, and (4) calculated WD as dry mass (g) / fresh wood volume (cm3).

Citation
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Bremner, J. M., and G. A. Breitenbeck. 1983. A simple method for determination of ammonium in semimicro‐Kjeldahl analysis of soils and plant materials using a block digester. Communications in Soil Science and Plant Analysis 14:905–913.
Gee, G. W., and J. W. Bauder. 1986. Particle-size Analysis. Pages 383–411 in A. Klute, editor. Methods of soil analysis. Part 1. Physical and mineralogical methods. Agronomy M. Soil Science Society of America, Madison, WI, USA.
Hardie, M., and R. Doyle. 2012. Measuring Soil Salinity. Pages 415–425 in S. Shabala and T. A. Cuin, editors. Plant Salt Tolerance. Humana Press, Totowa, NJ.
Pérez-Harguindeguy, N., S. Díaz, E. Garnier, S. Lavorel, H. Poorter, P. Jaureguiberry, M. S. Bret-Harte, W. K. Cornwell, J. M. Craine, D. E. Gurvich, C. Urcelay, E. J. Veneklaas, P. B. Reich, L. Poorter, I. J. Wright, P. Ray, L. Enrico, J. G. Pausas, A. C. de Vos, N. Buchmann, G. Funes, F. Quétier, J. G. Hodgson, K. Thompson, H. D. Morgan, H. ter Steege, L. Sack, B. Blonder, P. Poschlod, M. V Vaieretti, G. Conti, A. C. Staver, S. Aquino, and J. H. C. Cornelissen. 2013. New handbook for standardised measurement of plant functional traits worldwide. Australian Journal of Botany 61:167.
Sarker, S. K., R. Reeve, N. K. Paul, and J. Matthiopoulos. 2019. Modelling spatial biodiversity in the world’s largest mangrove ecosystem-The Bangladesh Sundarbans: A baseline for conservation. Diversity and Distributions 25:1–14.
Ueda, I., and T. Wada. 1970. Determination of inorganic phosphate by the molybdovanadate method in the presence of ATP and some interfering organic bases. Analytical Biochemistry 37:169–174.


 
3 - Creators/Authors of the dataset and their institutional affiliations (if not Glasgow). If the authors have an ORCID, please include this info.

Creator: Dr Swapan Kumar Sarker, ORCHID: 0000-0002-9933-0493
Authors: Swapan Kumar Sarker, Richard Reeve, and Jason Matthiopoulos

4 - Funder information 
    Commonwealth Scholarship Commission, United Kingdom. Code: BDCA-2013-6

5 - Your dataset (this should comprise the data files and a README file - this can be sent by email or FTP: https://transfer.gla.ac.uk/).
    Attached

6 - The date on which the dataset can be made publicly available (if known)
    Now

7 - Any restrictions on making the dataset public (eg ethical, legal or commercial considerations)
    No restrictions

8 - Preferred license type etc. If there are no restrictions, we will publish the data under a Creative Commons (CC BY 4.0) license.
    Creative Commons

9 - Link to the related publication, if you have this (for theses, we will obtain this once the thesis is deposited).
    Manuscript Accepted in Ecological Monographs. 

10 – Who holds the copyright for the dataset?
     Dr Swapan Kumar Sarker

11 – Was ethical approval required for this research? If so, please provide a copy of the consent form and information document.
     No
12 – Time period over which the data was collected AND/OR temporal period the data covers (please indicate whether time period relates to collection or coverage).
     Data collected between January to June 2014.
13 – Approximate size of the dataset.
     266 KB