call for data: PREDICTS: Projecting Responses of Ecological Diversity in Changing Terrestrial Systems

Newbold, Tim; Hudson, Lawrence N; Purves, Drew W.; Scharlemann, Jörn P. W.; Mace, Georgina M.; Purvis, Andy

doi:10.21425/f5fbg15577

Cited by 6 publications

(6 citation statements)

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“…We introduced the project and requested data at conferences and in journals (Newbold et al. ; Hudson et al. ).…”

Section: Methodsmentioning

confidence: 99%

“…We collated data by running sub-projects that investigated different regions, taxonomic groups or overlapping anthropogenic pressures: some focused on particular taxa (e.g., bees), threatening processes (e.g., habitat fragmentation, urbanization), land-cover classes (e.g., comparing primary, secondary and plantation tropical forests), or regions (e.g., Colombia). We introduced the project and requested data at conferences and in journals (Newbold et al 2012;Hudson et al 2013). After the first six months of broad searching, we increasingly targeted efforts toward under-represented taxa, habitat types, biomes and regions.…”

Section: Searchesmentioning

confidence: 99%

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ThePREDICTSdatabase: a global database of how local terrestrial biodiversity responds to human impacts

Hudson

Newbold

Contu

et al. 2014

Ecology and Evolution

208

250

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Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species’ threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project – and avert – future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups – including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems – http://www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.

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“…We introduced the project and requested data at conferences and in journals (Newbold et al. ; Hudson et al. ).…”

Section: Methodsmentioning

confidence: 99%

Section: Searchesmentioning

confidence: 99%

ThePREDICTSdatabase: a global database of how local terrestrial biodiversity responds to human impacts

Hudson

Newbold

Contu

et al. 2014

Ecology and Evolution

208

250

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“…Understanding the rate and spatial distribution of biodiversity loss requires accurate assessments of the impacts of land-use change and land management (Gibson et al 2011;Romdal, Ara ujo & Rahbek 2013). Much ecological research has been directed at this, and there are a growing number of attempts to summarize this in metaanalyses (Gibson et al 2011;Newbold et al 2012Newbold et al , 2015Bicknell et al 2014b;Burivalova, S ßekercio glu & Koh 2014;Pfeifer et al 2014). For example, a global meta-analysis clearly shows how land-use changes and associated pressures reduce the local terrestrial biodiversity (Newbold et al 2015), while a pan-tropical meta-analysis provides some hope by highlighting the relatively great biodiversity value from selectively logged forests (Gibson et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Do space‐for‐time assessments underestimate the impacts of logging on tropical biodiversity? An Amazonian case study using dung beetles

França

Louzada

Korasaki

et al. 2016

Journal of Applied Ecology

124

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1. Human alteration of the global environment is leading to a pervasive loss of biodiversity. Most studies evaluating human impacts on biodiversity occur after the disturbance has taken place using spatially distinct sites to determine the undisturbed reference condition. This approach is known as a space-for-time (SFT) substitution. However, SFT substitution could be underestimating biodiversity loss if spatial controls fail to provide adequate inferences about pre-disturbance conditions. 2. We compare the SFT substitution with a before-after control-impact (BACI) approach by assessing dung beetles before and after a logging exploration in the Brazilian Amazon. We sampled 34 logging management units, of which 29 were selectively logged with different intensities after our first collection. We used dung beetle species richness, species composition and biomass as our biodiversity response metrics and the gradient of selective logging intensity as our explanatory metric. 3. Only the BACI approach consistently demonstrated the negative impacts of logging intensification on all dung beetle community metrics. Moreover, the BACI approach explained significantly more of the variance in all the relationships and it doubled the estimates of species loss along the gradient of logging intensity when compared to SFT. 4. Synthesis and applications. Our results suggest that space-for-time (SFT) substitution may greatly underestimate the consequences on local species diversity and community turnover. These results have important implications for researchers investigating human impacts on biodiversity. Incentivizing before-after control-impact (BACI) approaches will require longer-term funding to gather the data and stronger links between researchers and landowners. However, BACI approaches are accompanied by many logistical constraints, making the continued use of SFT studies inevitable in many cases. We highlight that non-significant results and weak effects should be viewed with caution.

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“…www.nature.com/scientificdata www.nature.com/scientificdata/ Several global trait databases already exist or are emerging, such as the Open Traits working group 16 , the Freshwater Information Platform and its Taxa and Autecology Database for Freshwater Organisms 17 , the PREDICTS database for Projecting Responses of Ecological Diversity In Changing Terrestrial Systems 18,19 , and the TRY 20 plant trait database for Quantifying and scaling global plant trait diversity. In comparison to these initiatives, the CESTES database has several unique features.…”

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confidence: 99%

A global database for metacommunity ecology, integrating species, traits, environment and space

et al. 2020

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a global database for metacommunity ecology, integrating species, traits, environment and space alienor Jeliazkov et al. #the use of functional information in the form of species traits plays an important role in explaining biodiversity patterns and responses to environmental changes. although relationships between species composition, their traits, and the environment have been extensively studied on a case-by-case basis, results are variable, and it remains unclear how generalizable these relationships are across ecosystems, taxa and spatial scales. to address this gap, we collated 80 datasets from trait-based studies into a global database for metaCommunity Ecology: Species, Traits, Environment and Space; "CEStES". Each dataset includes four matrices: species community abundances or presences/absences across multiple sites, species trait information, environmental variables and spatial coordinates of the sampling sites. the CEStES database is a live database: it will be maintained and expanded in the future as new datasets become available. By its harmonized structure, and the diversity of ecosystem types, taxonomic groups, and spatial scales it covers, the CEStES database provides an important opportunity for synthetic trait-based research in community ecology. Background & SummaryA major challenge in ecology is to understand the processes underlying community assembly and biodiversity patterns across space 1,2 . Over the three last decades, trait-based research, by taking up this challenge, has drawn increasing interest 3 , in particular with the aim of predicting biodiversity response to environment. In community ecology, it has been equated to the 'Holy Grail' that would allow ecologists to approach the potential processes underlying metacommunity patterns 4-7 . In macroecology, it is common to study biodiversity variation through its taxonomic and functional facets along gradients of environmental drivers 8-10 . In biodiversity-ecosystem functioning research, trait-based diversity measures complement taxonomic ones to predict ecosystem functions 11 offering early-warning signs of ecosystem perturbation 12 .The topic of Trait-Environment Relationships (TER) has been extensively studied across the globe and across the tree of life. However, each study deals with a specific system, taxonomic group, and geographic region and uses different methods to assess the relationship between species traits and the environment. As a consequence, we do not know how generalizable apparent relationships are, nor how they vary across ecosystems, realms, and taxonomic groups. In addition, while there is an emerging synthesis about the role of traits for terrestrial plant communities 13,14 , we know much less about other groups and ecosystem types.To address these gaps, we introduce the CESTES database -a global database for metaCommunity Ecology: Species, Traits, Environment and Space. This database assembles 80 datasets from studies that analysed empirical multivariate trait-environment relationships between 1996 (the first...

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call for data: PREDICTS: Projecting Responses of Ecological Diversity in Changing Terrestrial Systems

Cited by 6 publications

References 0 publications

ThePREDICTSdatabase: a global database of how local terrestrial biodiversity responds to human impacts

ThePREDICTSdatabase: a global database of how local terrestrial biodiversity responds to human impacts

Do space‐for‐time assessments underestimate the impacts of logging on tropical biodiversity? An Amazonian case study using dung beetles

A global database for metacommunity ecology, integrating species, traits, environment and space

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