Swedish LifeWatch ─ a biodiversity infrastructure integrating and reusing data from citizen science, monitoring and research

Gärdenfors, Ulf; Jönsson, Mari; Obst, Matthias; Wremp, Anna Maria; Kindvall, Oskar; Nilsson, Johan

doi:10.15346/hc.v1i2.6

Cited by 10 publications

(14 citation statements)

References 24 publications

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“…The Artportalen database gathers opportunistic occurrence data (presence only), of which c . 90% is collected by amateurs with no particular training in species identification (Gärdenfors et al ., ) and who do not follow any specific protocol.…”

Section: Methodsmentioning

confidence: 99%

Species range expansion constrains the ecological niches of resident butterflies

Audusseau

Vaillant

Janz

et al. 2016

Journal of Biogeography

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Aim Changes in community composition resulting from environmental changes modify biotic interactions and affect the distribution and density of local populations. Such changes are currently occurring in nettle‐feeding butterflies in Sweden where Araschnia levana has recently expanded its range northward and is now likely to interact with resident species (Aglais urticae and Aglais io). Butterfly occurrence data collected over years and across regions enabled us to investigate how a recent range expansion of A. levana may have affected the environmental niche of resident species. Location We focused on two regions of Sweden (Skåne and Norrström) where A. levana has and has not established and two time periods (2001–2006 and 2009–2012) during its establishment in Skåne. Methods We performed two distinct analyses in each region using the PCA‐env and the framework described in Broennimann et al. (2012). First, we described the main sources of variation in the environment. Second, in each time period and region, we characterized the realized niches of our focal species across topographic and land use gradients. Third, we quantified overlaps and differences in realized niches between and within species over time. Results In Skåne, A. levana has stabilized its distribution over time, while the distribution of the native species has shifted. These shifts depicted a consistent pattern of avoiding overlap between the native species and the environmental space occupied by A. levana, and it was stronger for A. urticae than for A. io. In both regions, we also found evidence of niche partitioning between native species. Main conclusions Interspecific interactions are likely to affect local species distributions. It appears that the ongoing establishment of A. levana has modified local biotic interactions and induced shifts in resident species distributions. Among the mechanisms that can explain such patterns of niche partitioning, parasitoid‐driven apparent competition may play an important role in this community.

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Section: Methodsmentioning

confidence: 99%

Species range expansion constrains the ecological niches of resident butterflies

Audusseau

Vaillant

Janz

et al. 2016

Journal of Biogeography

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“…Secondly, large‐scale species distributional data is readily available and continuously collected in databases at national (e.g. Swedish Life Watch—Gärdenfors et al., ) or global scale (Global Biodiversity Information Facility— http://www.gbif.org) and commonly applied in species distribution modelling (e.g. Bradter et al., ; Mair et al., ).…”

Section: Discussionmentioning

confidence: 99%

Dating past colonization events to project future species distributions

et al. 2019

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Knowledge on the colonization process is important to understand and project future species distributions. The classic method to quantify colonization rates is time‐consuming, as it requires recording infrequent colonization events during extensive, repeated surveys. We present the novel “dating‐based approach” that requires one complete survey of species occurrence and estimates of subpopulation ages to back‐date colonization events. These data allow statistical reconstruction of a virtual, repeated survey to estimate colonization rates in response to environmental covariates or connectivity. With only 30% of survey effort, the dating‐based approach provided similar estimates of rate and distance of dispersal of a metapopulation of the epiphytic moss Neckera pennata as the classic approach relying on long‐term surveys. Projections of the number of colonization events during the next 100 years differed by only 2.3% (95%‐credible interval: [−1.9%; 7.1%]) between methods. The dating‐based approach is applicable across spatial scales and promises enhanced species distribution models with urgently needed quantitative dispersal information.

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“…Often, these are implemented in a variety of programming languages and executed via different user interfaces, with non‐automated tasks interspersed throughout the process. However, for consistently producing and replicating EBV data products it would be advantageous to develop and preserve all data access, integration and processing steps as an open‐source and freely available service in a workflow‐oriented e‐infrastructure that supports curation, sharing and collaboration (Gärdenfors et al, ; Enquist et al, ; Hardisty et al, ; La Salle et al, ; Hugo et al, ). The development of this kind of workflow in such an environment not only supports the automation of routine tasks, but also allows formation of analytical protocols that are robust, transparent and reusable, thereby improving reproducibility of ecological research (Borregaard & Hart, ).…”

Section: Workflows For Building Ebv Data Productsmentioning

confidence: 99%

“…the EBV‐useable data set) – excluding about 3000 time series with confidential data – through its data portal (http://livingplanetindex.org/data_portal) as well as with the latest publication (McRae et al, ) and as part of the Living Planet Report (http://www.livingplanetindex.org). All data used in BALTIC were downloaded from the Swedish LifeWatch portal (Gärdenfors et al, ) for marine monitoring data (EBV‐useable data set), while processed data were stored in the data archives of Environment Climate Data Sweden (https://ecds.se/ under file identifier: ccc84507‐49c1‐43df‐9887‐97d2232bcb89), including the harmonized data (EBV‐ready data set) and the statistically analysed data (derived & modelled EBV data). Despite these publishing efforts by all four projects, their data sets are published in different ways, and limited consistency and adoption of data and metadata standards is apparent.…”

Section: Workflows For Building Ebv Data Productsmentioning

confidence: 99%

“…There are multiple technical requirements related to a workflow‐oriented production of global EBV data products. Interoperable computing infrastructure and promotion of the development, sharing and use of workflows is needed (Hardisty et al, ; Gärdenfors et al, ; Kissling et al, ; Enquist et al, ). This includes agreeing and adopting appropriate structural formats for EBV data products, for means of data storage and for the execution and implementation of EBV workflows.…”

Section: Workflows For Building Ebv Data Productsmentioning

confidence: 99%

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Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale

et al. 2017

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Much biodiversity data is collected worldwide, but it remains challenging to assemble the scattered knowledge for assessing biodiversity status and trends. The concept of Essential Biodiversity Variables (EBVs) was introduced to structure biodiversity monitoring globally, and to harmonize and standardize biodiversity data from disparate sources to capture a minimum set of critical variables required to study, report and manage biodiversity change. Here, we assess the challenges of a 'Big Data' approach to building global EBV data products across taxa and spatiotemporal scales, focusing on species distribution and abundance. The majority of currently available data on species distributions derives from incidentally reported observations or from surveys where presence-only or presence-absence data are sampled repeatedly with standardized protocols. Most abundance data come from opportunistic population counts or from population time series using standardized protocols (e.g. repeated surveys of the same population from single or multiple sites). Enormous complexity exists in integrating these heterogeneous, multi-source data sets across space, time, taxa and different sampling methods. Integration of such data into global EBV data products requires correcting biases introduced by imperfect detection and varying sampling effort, dealing with different spatial resolution and extents, harmonizing measurement units from different data sources or sampling methods, applying statistical tools and models for spatial inter-or extrapolation, and quantifying sources of uncertainty and errors in data and models. To support the development of EBVs by the Group on Earth Observations Biodiversity Observation Network (GEO BON), we identify 11 key workflow steps that will operationalize the process of building EBV data products within and across research infrastructures worldwide. These workflow steps take multiple sequential activities into account, including identification and aggregation of various raw data sources, data quality control, taxonomic name matching and statistical modelling of integrated data. We illustrate these steps with concrete examples from existing citizen science and professional monitoring projects, including eBird, the Tropical Ecology Assessment and Monitoring network, the Living Planet Index and the Baltic Sea zooplankton monitoring. The identified workflow steps are applicable to both terrestrial and aquatic systems and a broad range of spatial, temporal and taxonomic scales. They depend on clear, findable and accessible metadata, and we provide an overview of current data and metadata standards. Several challenges remain to be solved for building global EBV data products: (i) developing tools and models for combining heterogeneous, multi-source data sets and filling data gaps in geographic, temporal and taxonomic coverage, (ii) integrating emerging methods and technologies for data collection such as citizen science, sensor networks, DNA-based techniques and satellite remote sensing, (iii) solv...

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Swedish LifeWatch ─ a biodiversity infrastructure integrating and reusing data from citizen science, monitoring and research

Cited by 10 publications

References 24 publications

Species range expansion constrains the ecological niches of resident butterflies

Species range expansion constrains the ecological niches of resident butterflies

Dating past colonization events to project future species distributions

Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale

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