Biodiversity Data Journal : Data Paper (Biosciences)
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Data Paper (Biosciences)
Data Descriptor: Pacific Introduced Flora (PaciFLora)
expand article infoMichael Rudolf Wohlwend‡,§, Dylan Craven|, Patrick Weigelt, Hanno Seebens#, Marten Winter§, Holger Kreft, Wayne Dawson¤, Franz Essl«,», Mark van Kleunen˄, Jan Pergl˅, Petr Pyšek¦,ˀ, James Spaceˁ, Philip Thomas, Tiffany Knight
‡ Institute of Biology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
§ German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| Universidad Mayor, Santiago, Chile
¶ Department of Biodiversity, Macroecology & Biogeography, Faculty of Forest Sciences, University of Göttingen, Göttingen, Germany
# Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt am Main, Germany
¤ Durham University, Durham, United Kingdom
« BioInvasions, Global Change, Macroecology-Group, Department of Botany and Biodiversity Research, University Vienna, Vienna, Austria
» Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Stellenbosch, South Africa
˄ University of Konstanz, Konstanz, Germany
˅ Czech Academy of Sciences, Institute of Botany, Department of Invasion Ecology, Průhonice, Czech Republic
¦ Institute of Botany, Průhonice, Czech Republic
ˀ Academy of Sciences of the Czech Republic, Pruhonice, Czech Republic
ˁ Pacific Southwest Research Station, USDA Forest Service (ret.), Sun Lakes, United States of America
₵ Hawaiian Ecosystems at Risk project, Carrboro, United States of America
ℓ Martin-Luther-Universität Halle-Wittenberg, Leipzig, Germany
Open Access

Abstract

Background

The Pacific Region has the highest density of naturalised plant species worldwide, which makes it an important area for research on the ecology, evolution and biogeography of biological invasions. While different data sources on naturalised plant species exist for the Pacific, there is no taxonomically and spatially harmonised database available for different subsets of species and islands. A comprehensive, accessible database containing the distribution of naturalised vascular plant species in the Pacific will enable new basic and applied research for researchers and will be an important information source for practitioners working in the Region.

New information

Here, we present PacIFlora, an updated and taxonomically standardised list of naturalised species, their unified nativeness, cultivation and invasive status and their distribution across the Pacific Ocean, including harmonised location denoination. This list is based on the two largest databases on naturalised plants for the Region, specifically the Pacific Island Ecosystems at Risk (PIER) and the Global Naturalised Alien Flora (GloNAF) databases. We provide an outlook for how this database can contribute to numerous research questions and conservation efforts.

Keywords

Island Biogeography, naturalised species, Pacific Ocean, plant invasion, species database

Introduction

The Pacific Ocean covers a large area and contains over 25,000 islands (National Oceanic and Atmospheric Administration & Western Pacific Regional Fishery Management Council 2009). A rich endemic flora has evolved in the Pacific, which is now threatened by, amongst other drivers, an increasing number of naturalised plant species (Seebens et al. 2017, van Kleunen et al. 2019). The Pacific Ocean is unique, with vast areas of ocean stretching between thousands of islands that create substantial barriers to the natural dispersal of plant species. It is also unique in its relatively recent colonialisation history through Polynesian and later, European settlers (Matisoo-Smith and Robinson 2004) and the large socio-economic differences that exist between island groups of different geological origin (Seidel and Lal 2010). However, human-mediated dispersal has resulted in many islands being inhabited by naturalised plant species, defined as alien plant species that maintain self-sustaining populations without human intervention (Richardson et al. 2000). Understanding naturalisation is facilitated by detailed information about introduction and establishment processes. Although some alien plants are introduced accidentally (e.g. stowaways, contaminated seeds), most of them are deliberately introduced for cultivation (e.g. for ornamental or other economic uses; Hulme et al. 2008, van Kleunen et al. 2020). The extent to which plant species escape cultivation and become naturalised will vary in space and time, so that a single species can be considered cultivated in one location and naturalised in another location, even in close proximity. Likewise, the shift of a plant species from naturalised to invasive, that is when species harm the environment or humans (sensu Richardson et al. 2000, Blackburn et al. 2011), will also vary in space and time. Information on a species’ invasion status in one location may be useful for the development and implementation of measures designed to mitigate its impacts or prevent invasions in other locations across the region. Finally, because of the vastness of the Pacific, intra-Pacific naturalisations occur, i.e. some species are categorised as naturalised on some islands, but native on others.

To address research questions in an objective and accessible way, databases are required that contain occurrences (presences) of naturalised plant species and harmonised region information that span the whole Pacific Region, while also being interoperable with other databases (e.g. origin, BIEN, TRY and GIFT; Kattge et al. 2011, Weigelt et al. 2019, Chamberlain and Bartomeus 2020, Maitner 2020). Additional features, such as cultivation and invasive status, can extend the range of applicability. The Global Naturalised Alien Flora (GloNAF) and the Pacific Island Ecosystems at Risk (PIER) databases meet these criteria. While these databases provide unique information on species’ characteristics (e.g. cultivation, invasive status), they also overlap in information for many naturalised species and locations. However, even when the information overlaps between the databases, there are sometimes different names or spellings for the same islands or species and there is also variation between the databases in the quality and method of evaluating species invasion status. In addition, information is available inconsistently at different spatial scales, namely at island group and individual island level. These sources of data variation in the databases present a challenge to the direct combination and use of the databases in a single study.

Here, we present PacIFlora, a consolidated database on naturalised plant species on Pacific islands which overcomes the challenges posed by combining two large databases. By merging, harmonising and standardising information on naturalised species on Pacific islands from GloNAF and PIER, we created this new database reporting the presence of naturalised plant species on each island or island group. We also categorised the islands with available data into sociogeographic groups, as this is useful for many invasion science research questions (Fig. 1, see also Wohlwend et al. 2021). GloNAF was initiated in 2011 and launched in 2015 as a worldwide database of naturalised plant occurrences in mostly geopolitical regions (Pyek et al. 2017, van Kleunen et al. 2015, van Kleunen et al. 2019). PIER is a project of the Institute of Pacific Islands Forestry (USDA Forest Service) initiated in 1997 to compile and disseminate reference information on alien plant species of known or potential threat to Pacific island ecosystems (http://www.hear.org/pier/). These two databases are, to our knowledge, the only ones covering the entire Pacific, which was important for us to not further artificially increase sampling effort differences amongst regions.

Figure 1.  

Map showing the boundaries of island groups in the Pacific used in this database. Underlying map: World Coastline for R, based on data from Natural Earth. Polygons surrounding island groups are designed to include all islands in the group using straight lines and, thus, these lines do not correspond to any political border.

We structured our data and R code in a way that makes PacIFlora easy to combine with other databases. We also provide our R code to facilitate the integration of additional data, in case, for example, a user of our database wants to focus on a smaller part of the Pacific Region or integrate additional data.

Accepted plant species scientific names were identified using the recently-published Leipzig Catalogue of Vascular Plants using the original names (LCVP, Freiberg et al. 2020). In total, this resulted in 33301 unique records, including 3963 species distributed over 482 islands aggregated in 50 island groups. A total of 125 records from 34 unique original species names could not be assigned to an accepted species name by the algorithm and were included as “NA”. Manual matching is possible for some of them, but we abstained from this as we wanted to exclude all subjectivity from our side. A total of 847 records lack island level information and, as a result, the species x island matrix has fewer species then the species x island group matrix. The output table of PacIFlora includes plant family, plant order invasion status (if a species is currently evaluated as harmful on a certain island), native status (how likely a species is to be considered native on an island), cultivation status (how likely a species only exists as a cultivar on an island) and the name and coordinates of each island. We show the relative frequency of different categories of native status in Fig. 2.

Figure 2.  

Total number of records in categories of native status. Nativeness Score indicates naturalisation certainty, i.e. 0 indicates records that are certainly naturalised and 1 indicates records that are certainly native, respectively. Intermediate values indicate uncertainty in the native status. See main text for detailed clarification.

In addition, we provide a phylogeny of the naturalised plant species in PacIFlora by pruning the comprehensive supertree by Smith and Brown 2018) to all species it has in common with PacIflora (3150) and adding the remaining (813) via a congeneric merge resulting in some polytomies. All genera where found in the supertree. Fifty-four orders of naturalised plants are present in the Pacific. Most naturalised plant species in PacIFlora belong to the orders Poales, Fabales, Lamiales, Asterales, Caryophyllales, Myrtales and Malpighiales (in descending order), but the relative representation of these orders varies across island groups (Fig. 3).

Figure 3.  

Proportional representation of naturalised plant species in the seven most common orders for each island group.

This database can be used to address a wide variety of research questions and for management applications, for example, by combining it with different datasources on environmental drivers (Wohlwend et al. 2021), taxonomic or trait information, native flora information or data on dispersal pathways. There is also potential to use PacIFlora for invasion forecasting and species distribution modelling.

General description

Purpose: 

This dataset can be used for research on a wide variety of questions, including: (1) the study of patterns of richness and composition of naturalised plants in the Pacific and the roles of anthropogenic and biogeographic drivers (Wohlwend et al. 2021); (2) the study of patterns of taxonomic and phylogenetic composition of naturalised plants in the Pacific compared to other regions of the world; (3) the development of forecasting tools to identify naturalised species that are present in the Pacific and are likely to expand their ranges to new island groups; (4) for comparing patterns of native and naturalised species richness and composition to test whether islands poor in native species are more vulnerable to invasion and (5) for identifying mechanisms that determine the range of naturalised species by combining this dataset with information about functional traits (e.g. Kattge et al. 2011:TRY www.try-db.org) and common introduction pathways.

This dataset represents a second step (after PIER and GloNAF) towards the development of a comprehensive list of the presence and status of naturalised plant species in the Pacific Region. Important next steps involve validating and updating these data in strong collaboration with local experts from each island group. For example, naturalised data exist for 488 of the > 25000 islands in the Pacific. It remains to be validated whether the remaining islands in the Pacific really do not have established naturalised plant species (e.g. the numerous tiny atolls) or whether local information about naturalised plant presence was not included in the two region-spanning sources and, thus, in PacIFlora. We hope that PacIFlora can serve as a foundation for local organisations in the Pacific that can be updated and extended in the future. The authors provide their full support for the application, validation and extension of PacIFlora. Main contact persons for this are Michael Wohlwend (application), Mark van Kleunen (validation and extension, GloNAF) and Philip Thomas (validation and extension, PIER).

We note that the results in Wohlwend et al. (2021) used a subset of the records in PacIFlora (e.g. excluding all cultivated records for most analyses) and considered data aggregated by island group. PacIFlora aims to provide more comprehensive resources that can be used for other purposes than those that were the focus of Wohlwend et al. (2021), but information presented in this publication can give insights into the data.

Project description

Design description: 

To create a matrix of species presences on islands and island groups, we used raw data from GloNAF version 1.1 and raw data from PIER (updated 2 June 2018). Both PIER and GloNAF list their sources for all records of a naturalised species on an island.

We harmonised species names using the LCVP (Freiberg et al. 2020) and the associated R-package ‘lcvplants’ (https://github.com/idiv-biodiversity/LCVP). Subspecies and varieties were aggregated to the binomial level, which we refer to as “species” level for simplicity. If hybrid taxa were not recorded in the LCVP database, it was pooled with the first parent species, affecting 20 species. Forty species names were identified by the LCVP as synonyms for more than one possible species. In these cases, we chose the first species name provided by the LCVP as the assigned name to ensure reproducibility. Twenty species could not be linked to an accepted name by the LCVP with certainty and were assigned ‘NA’ values for species name, family and order. We kept these unassignable species in the list format of PacIFlora to allow for future name resolution.

All calculations were performed and graphs were created using R (version 4.0.3, R Core Team 2020). Maps were created using R and the packages ‘ggplot2’ (Wickham 2016), ‘ggtree’ (Yu 2020) and ‘rnaturalearth’ (South 2017) for visualisation. We created background polygons for island group association using QGis 3.12.3 (QGIS Development Team 2021). Matrix aggregation was performed using the fuzzySim package in R (Barbosa 2015).

PacIFlora includes the following columns: ID, Species, Island, Island group, Family, Order, Native, Cultivated, Source, Original_Name, Invasion. ID provides a unique number. Species is the accepted name of the species based on the LCVP. A total of 3963 species were recorded. Island is the location where the species is present. Islands often have many names or different spellings. We used web research and other information in our sources to identify synonyms and chose one name from the sources (usually the most commonly used name). Island refers to the smallest available unit of reference and is, therefore, sometimes used for several unnamed islets of an atoll in close proximity which are not or only sometimes (tidally) connected by land. A total of 488 islands where recorded. IslandGroup is a group name assigned by us. The inclusion of island groupings is useful for many types of research questions, as a complete species list at a broader spatial scale decreases problems of data deficiency for individual islands in an archipelago. Our groups are largely based on political borders, such as municipalities or states. If political borders did not reflect geographic borders, we used distance between islands and ocean trenches to assign each island to one of 50 island groups. Island group aggregation is visualised in Fig. 1. We excluded 146 records that could not be linked to any island group. This particular grouping is useful for questions related to the influence of dispersal barriers on biological invasions, as distance creates a natural barrier and political borders are known to influence dispersal via human imports (either intentional or accidental). However, islands also vary in age, size and geomorphology and, thus, we make it possible to regroup the islands in our database into formats that might be better suited for other research questions (e.g. on establishment barriers). Family is the plant family and Order is the plant order. Native status indicates the certainty if the species is native at the given location. While all of the species in PacIFlora are naturalised in at least one location in the Pacific, some species might be native in other locations of the Pacific. We assigned numerical values, indicating certainty of native status on each specific island between 0 (unanimously described as naturalised on the specific island) and 1 (unanimously described as native on the specific island) to the categorical classes defined in GloNAF and PIER, which were averaged if there was no agreement amongst the sources. There were 36 species with only “native” records, which were excluded. The vast majority of records (94%) are not described as likely native. A total of 255 species were described at least once as likely native (Fig. 2). Cultivated provides information on whether the species is classified as being only cultivated on the island or island group. Cultivated values of 1 define species that are only known to exist in horticultural plantings at the location, whereas those clearly described as naturalised by any source at the location are given a value of zero. A value of 0.5 indicates that there is no information available documenting whether the species is either cultivated or naturalised at the location. There were 40 species with only “cultivated” records, which were excluded. A total of 19,944 records were described as not cultivated, 9150 had no information on cultivation status and 4207 were described as cultivated. A total of 630 (16%) species were described as cultivated at least once, which also means that those species escaped cultivation at least once. Cultivated and native scores were determined differently since a species can be both cultivated and naturalised on an island, but not native and alien. Database indicates if the record was present in GloNAF (glon), PIER (pier) or both (glon_pier). Orignal_Name shows the species name prior to standardisation. Invasive status is a column indicating invasive status of the species on a given island, with “1” meaning unanimously described as invasive in this location, “0” meaning unanimously described as not invasive. The value in this column was achieved by forming a mean of the evaluation of all records for a particular species island combination, why this column should be handled with care, as there was no information if one occurrence was evaluated differently by different authors or if two different occurrences on one island were evaluated differently. In total, 15,713 records where described as likely invasive, including 1550 species. Source provides the original reference as listed in GloNAF and PIER. Only one reference is provided for each record and additional references can be accessed via the Source_ID column, which lists the IDs of all references listing this record. References for the IDs can be found in Suppl. material 3. Most records have only one record, but a record can have as many as eighteen references (e.g. due to voucher specimens). An overview of the 22 most frequently used sources can be seen in Table 1. Latitude and Longitude give the geographical coordinates of the island centroid in decimal degrees, which were taken from the Global Inventory of Floras and Traits (GIFT) database (Weigelt et al. 2013, Weigelt et al. 2019). In total, 84 islands could not be connected to a unique ID in GIFT; coordinates for these were taken from Google Maps (Google 2020). All coordinates are provided in WGS84.

Table 1.

Table 1: Most frequent sources used in PacIFlora. We note that some of the sources might provide overlapping information on naturalised plant occurrences. Records refers to species × island occurrences. Sources are sorted in decreasing order, based on the number of records each source provide. The names of the three island groups with the most records from each source are displayed.

Source

Records

Most recorded island groups

Gargominy et al. 2018

9126

New Caledonia, Clipperton

Imada 2019

5104

Hawaiian, NW Hawaiian

Florence et al. 2013

4119

Society, Marquesas, Tubuai

Fosberg et al. 1979

2780

Mariana, Northern Palau, Yap

Wagner et al. 1999

2600

Hawaiian, NW Hawaiian, Solomon_Bismark

Raulerson 2006

1982

Mariana

Charles Darwin Foundation 2008

1601

Galapagos, Solomon_Bismark

Florence et al. 2007

1600

Society, Marquesas, Tubuai

Fosberg et al. 1987

1467

Mariana, Northern Palau, Chuuk

McCormack 2007 McCormack 2013

1170

Southern Cook, Northern Cook, Chuuk

McCormack 2007

1076

Southern Cook, Northern Cook

MacKee 1994

1054

New Caledonia, Loyaute, Hunter and Matthew

Lorence and Wagner 2013

1042

Marquesas

Wagner and Lorence 2002

1020

Marquesas

Space et al. 2003

881

Northern Palau, Southern Palau

Welsh 1998

781

Society, Bass, Tuamotu

Guézou et al. 2014

775

Galapagos

Invasive Species Specialist Group ISSG. 2019

635

Tongatapu, Nauru, Easter

Whistler 1998

614

Samoa, Tokelau

Florence 2004

599

Society Marquesas, Tuamotu

Swarbrick 1997

574

Solomon_Bismark, New Caledonia, New Hebrides

Yuncker 1959

519

Tongatapu, Vava'u, Ha'apai

We present our database in three formats:

(1) PacIFlora - Full list format of all records (species x island, including records with no information on island, but just island group level and records that could not be identified by the LCVP), Suppl. material 2.

Additionally, you can find the following files:

(2) An island × species matrix, excluding records that were missing information. Specifically, this list does not include data that have no island information or species that could not be identified by the LCVP (Dryad only).

(3) An aggregated island group × species matrix (Dryad only).

(4) A table to access reference IDs, Suppl. material 3.

(5) List format of PacIFLora on island level, excluding all records with no information on island, but just island group level and records that could not be identified by the LCVP (Dryad only).

(6) List format of PacIFLora on island group level, excluding all records that could not be identified by the LCVP and providing aggregated values for naturalisation, cultivation and invasion status (Dryad only).

Both data matrices (2 and 3) are included to provide an easy-to-use format for research and conservation applications. When using these matrices, be aware that they include all records (e.g. including cultivated species for some records). We provide our full R code used for aggregation, starting from GloNAF and PIER raw data, which allows, for example, for the generation of personalised subsets.

To create a phylogeny for the naturalised plant species in the Pacific, we pruned the supertree by Smith and Brown (2018). Species names in PacIFlora and in this supertree were first harmonised using the LCVP (Suppl. material 1). Focal species which were missing from this supertree were grafted onto it at the genus level using the function congeneric.merge in the “pez” package of R (Pearse et al. 2015). We summarise the spatial variation of plant order composition on island groups in a bar chart, showing the proportional representation of species in the seven overall most common (measured in species/family) plant orders (Figs 1, 3).

Our R code allows a complete workflow from the publicly available PIER and GloNAF data to the final species x island matrix. All codes used to unify and aggregate the data are provided in the R programming language and is open access via github (https://github.com/MichaelWohlwend42/PacIFlora.git). We provide code to merge new data with PacIFlora in a standardised manner, using universally applicable harmonisation functions for species and islands. The data underpinning the analysis reported in this paper are deposited in the Dryad Data Repository at https://datadryad.org/stash/dataset/doi: 10.5061/dryad.qfttdz0hd, as well as partly in the supplementary material and on the abovementioned GitHub Page.

Geographic coverage

Description: 

PaciFlora covers all islands with available data in the Pacific Ocean. Only oceanic islands between 40°N and 40°S are included as our focus was on (sub-)tropical islands. Larger landmasses, such as Japan, New Zealand the Philippines and Papua New-Guinea, as well as all islands on the Japanese, Pacific American or Australian coasts, were excluded. So, this database focuses on (sub-)tropical islands that are isolated from larger landmasses.

Usage licence

Usage licence: 
Creative Commons Public Domain Waiver (CC-Zero)

Data resources

Data package title: 
Pacific Introduced Flora (PaciFLora)
Number of data sets: 
1
Data set name: 
PaciFlora
Column label Column description
Species Simple species name.
Island island name.
IslandGroup assigned island group name.
Native Standardised native score ranging from 0 (unanimously described as not native) to 1 (unanimously described as native) in given location.
Cultivated Standardised cultivation score ranging from 0 (unanimously described as not cultivated) to 1 (unanimously described as cultivated) in given location.
Family plant family.
Order plant order.
Database Origin GloNAF, PIER or both (glonpier).
Invasive Standardised invasive score ranging from 0 (unanimously described as not invasive) to 1 (unanimously described as invasive) in given location.
Orginal_name pre-harmonisation species name.
Latitude latitude of island (mercator).
Longitude longitude of island (mercator).
Source Literature cited for this entry in the raw data.
Source_ID Full list of references provided for this occurrence, which can be referenced using the attached list.

Acknowledgements

Funding was provided by the Alexander von Humboldt Foundation in the framework of the Alexander von Humboldt Professorship, by the Helmholtz Recruitment Initiative of the Helmholtz Association (both to TMK) and by the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, funded by the German Research Foundation (DFG) – FZT 118 – 202548816. This research was co-funded through the 2017-2018 Belmont Forum and BiodivERsA joint call for research proposals, under the BiodivScen ERA-Net COFUND programme and with the funding organisations BMBF (to HS) via the project ‘Alien Scenarios‘ (BMBF grant 01LC1807A). PP and JP were supported by EXPRO grant no. 19-28807X (Czech Science Foundation) and long-term research development project RVO 67985939 (Czech Academy of Sciences). FE appreciates funding by the Austrian Science Foundation (FWF project no I 2086-B16).

References

Supplementary materials

Suppl. material 1: PacIFlora Phylogeny 
Authors:  Smith & Brown, harmonised, pruned and extended by Michael R Wohlwend
Data type:  Phylogeny
Suppl. material 2: PacIFlora 
Authors:  Us
Data type:  List, Species, Location, Additonal Information
Brief description: 

Complete Datasbase in list form, as it will be uploaded to zenodo and GitHub.

Suppl. material 3: Reference Table 
Authors:  Michael Wohlwend
Data type:  Sources and Source IDs
Brief description: 

Allows for linking additional source ids to the actual source