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3. Pesticide effects on soil fauna communities—A meta-analysis

Author

Beaumelle, Léa, Tison, Léa, Eisenhauer, Nico, Hines, Jes, Malladi, Sandhya, Pelosi, Céline, Thouvenot, Lise, Phillips, Helen R.P., and Terrestrial Ecology (TE)

Subjects
multiple stressors, plant protection products, data synthesis, risk assessment, below-ground communities, invertebrates, biodiversity
Abstract

Soil invertebrate communities represent a significant fraction of global biodiversity and play crucial roles in ecosystems. A number of human activities threaten soil communities, in particular intensive agricultural practices such as pesticide use. However, there is currently no quantitative synthesis of the impacts of pesticides on soil fauna communities. Here, using a meta-analysis of 54 studies and 294 observations, we quantify pesticide effects on the abundance, biomass, richness and diversity of natural soil fauna communities across a wide range of environmental contexts. We also identify scenarios with the most detrimental effects on soil fauna communities by analysing the effects of different pesticides (herbicides, fungicides, insecticides, broad-spectrum substances and multiple substances), different application rates and temporal extents (short- or long-term), as well as the response of different functional groups of soil animals (body size categories, presence of exoskeleton). Pesticides overall decreased the abundance and diversity of soil fauna communities across studies (Grand mean effect size (Hedge's g) = −0.30 +/− 0.16) and had stronger effects on soil fauna diversity than abundance. The most detrimental scenarios involved multiple substances, broad-spectrum substances and insecticides, which significantly decreased soil fauna diversity even at recommended rates. We found no evidence that pesticide effects dampen over time, as short-term and long-term studies exhibited similar mean effect sizes. Policy implications: Our study highlights that pesticide use has significant detrimental non-target effects on soil biodiversity, eroding a substantial part of global biodiversity and threatening ecosystem health. This provides crucial evidence supporting recent policies, such as the European Green Deal, that aim to reduce pesticide use in agriculture to conserve biodiversity. The detrimental effects of multiple substances revealed here are particularly concerning because realistic pesticide use often combines several substances targeting different pests and diseases over the crop season. We suggest that future guidelines for pesticide registration, restrictions and banning should rely on data able to fully capture the long-term consequences of multiple substances for multiple non-target species in realistic conditions.

Published
2023

4. The 2016 release of the PREDICTS database V1.1

Author

Hudson, Lawrence N., Newbold, Tim, Contu, Sara, Hill, Samantha L.L., Lysenko, Igor, De Palma, Adriana, Phillips, Helen R.P., Alhusseini, Tamera I., Bedford, Felicity E., Bennett, Dominic J., Booth, Hollie, Burton, Victoria J., Bugter, Rob, Hudson, Lawrence N., Newbold, Tim, Contu, Sara, Hill, Samantha L.L., Lysenko, Igor, De Palma, Adriana, Phillips, Helen R.P., Alhusseini, Tamera I., Bedford, Felicity E., Bennett, Dominic J., Booth, Hollie, Burton, Victoria J., and Bugter, Rob

Abstract

Data review in 2021-2023 has resulted in some changes and additions to the database. One source (consisting of three studies) has changed ID. 24 studies have an additional blocking structure that was mistakenly omitted in the original database release. Three studies have additional blocks and records, as data from additional years have been included in this extract. We recommend using this updated version of these data, rather than the original 2016 release. A dataset of 3,278,056 measurement, collated from 26,194 sampling locations in 94 countries and representing 47,089 species. The data were collated from 480 existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database was assembled as part of the PREDICTS project - Projecting Responses of Ecological Diversity In Changing Terrestrial Systems. The taxonomic identifications provided in the original data sets are those determined at the time of the original research, and so will not reflect subsequent taxonomic changes. This dataset is described in 10.1002/ece3.2579. A description of the way that this dataset was assembled is given in 10.1002/ece3.1303. columns.csv: Description of data extract columns database.zip: Database in zipped CSV format database.rds: Database in RDS format sites.zip: Site-level summaries in compressed CSV format sites.rds: Site-level summaries in RDS format references.csv: Data references in CSV format references.bib: Data references in BibTeX format

Published
2023

5. Modelling and Projecting the Response of Local Terrestrial Biodiversity Worldwide to Land Use and Related Pressures: The PREDICTS Project

Author

Purvis, Andy, primary, Newbold, Tim, additional, De Palma, Adriana, additional, Contu, Sara, additional, Hill, Samantha L.L., additional, Sanchez-Ortiz, Katia, additional, Phillips, Helen R.P., additional, Hudson, Lawrence N., additional, Lysenko, Igor, additional, Börger, Luca, additional, and Scharlemann, Jörn P.W., additional

Published
2018
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6. Drivers and trends of global soil microbial carbon over two decades

Author

Patoine, Guillaume, Eisenhauer, Nico, Cesarz, Simone, Phillips, Helen R.P., Xu, Xiaofeng, Zhang, Lihua, Guerra, Carlos A., Patoine, Guillaume, Eisenhauer, Nico, Cesarz, Simone, Phillips, Helen R.P., Xu, Xiaofeng, Zhang, Lihua, and Guerra, Carlos A.

Abstract

Soil microorganisms are central to sustain soil functions and services, like carbon and nutrient cycling. Currently, we only have a limited understanding of the spatial-temporal dynamics of soil microorganisms, restricting our ability to assess long-term effects of climate and land-cover change on microbial roles in soil biogeochemistry. This study assesses the temporal trends in soil microbial biomass carbon and identifies the main drivers of biomass change regionally and globally to detect the areas sensitive to these environmental factors. Here, we combined a global soil microbial biomass carbon data set, random forest modelling, and environmental layers to predict spatial-temporal dynamics of microbial biomass carbon stocks from 1992 to 2013. Soil microbial biomass carbon stocks decreased globally by 3.4 ± 3.0% (mean ± 95% CI) between 1992 and 2013 for the predictable regions, equivalent to 149 Mt being lost over the period, or ~1‰ of soil C. Northern areas with high soil microbial carbon stocks experienced the strongest decrease, mostly driven by increasing temperatures. In contrast, land-cover change was a weaker global driver of change in microbial carbon, but had, in some cases, important regional effects.

Published
2022

8. Global data on earthworm abundance, biomass, diversity and corresponding environmental properties

Author

Phillips, Helen R.P., Bach, Elizabeth M., Bartz, Marie L.C., Bennett, Joanne, Beugnon, Rémy, Briones, Maria J. I., Brown, George G., Ferlian, Olga, Gongalsky, Konstantin B., Guerra, Carlos A., König-Ries, Birgitta, Krebs, Julia, Orgiazzi, Alberto, Ramirez, Kelly S., Russell, David, Schwarz, Benjamin, Wall, Diana H., Brose, Ulrich, Decaëns, Thibaud, Lavelle, Patrick, Loreau, Michel, Mathieu, Jérôme, Mulder, Christian, van der Putten, Wim H., Rillig, Matthias C., Thakur, Madhav P., de Vries, Franciska T., Wardle, David A., Ammer, Christian, Ammer, Sabine, Arai, Miwa, Ayuke, Fredrick O., Baker, Geoff H., Baretta, Dilmar, Barkusky, Dietmar, Beauséjour, Robin, Bedano, José Camilo, Birkhofer, Klaus, Blanchart, Eric, Blossey, Bernd, Bolger, Thomas, Bradley, Robert L., Brossard, Michel, Burtis, James C., Capowiez, Yvan, Cavagnaro, Timothy R., Choi, Amy, Clause, Julia, Cluzeau, Daniel, Coors, Anja, Crotty, Felicity V., Crumsey, Jasmine M., Dávalos, Andrea, Diaz Cosin, Darío J., Dobson, Annise M., Dominguez, Anahí, Duhour, Andrés Esteban, van Eekeren, Nick, Emmerling, Christoph, Falco, Liliana B., Fernández, Rosa, Fonte, Steven J., Fragoso, Carlos, Franco, André L.C., Fusilero, Abegail T., Geraskina, Anna P., Gholami, Shaieste, González, Grizelle, Gundale, Michael J., Gutiérrez López, Mónica, Hackenberger, Branimir K., Hackenberger, Davorka K., Hernández, Luis M., Hirth, Jeff R., Hishi, Takuo, Holdsworth, Andrew R., Holmstrup, Martin, Hopfensperger, Kristine N., Huerta Lwanga, Esperanza, Huhta, Veikko, Hurisso, Tunsisa T., Iannone III, Basil V., Iordache, Madalina, Irmler, Ulrich, Ivask, Mari, Jesús, Juan B., Johnson-Maynard, Jodi L., Joschko, Monika, Kaneko, Nobuhiro, Kanianska, Radoslava, Keith, Aidan M., Kernecker, Maria L., Koné, Armand W., Kooch, Yahya, Kukkonen, Sanna T., Lalthanzara, H., Lammel, Daniel R., Lebedev, Iurii M., Le Cadre, Edith, Lincoln, Noa K., López-Hernández, Danilo, Loss, Scott R., and Marichal, Raphaël

Subjects
Organisme du sol, L60 - Taxonomie et géographie animales, Distribution spatiale, Distribution des populations, Écologie des populations, Ver de terre, services écosystémiques, données spatiales, P01 - Conservation de la nature et ressources foncières, Biodiversité
Abstract

Earthworms are an important soil taxon as ecosystem engineers, providing a variety of crucial ecosystem functions and services. Little is known about their diversity and distribution at large spatial scales, despite the availability of considerable amounts of local-scale data. Earthworm diversity data, obtained from the primary literature or provided directly by authors, were collated with information on site locations, including coordinates, habitat cover, and soil properties. Datasets were required, at a minimum, to include abundance or biomass of earthworms at a site. Where possible, site-level species lists were included, as well as the abundance and biomass of individual species and ecological groups. This global dataset contains 10,840 sites, with 184 species, from 60 countries and all continents except Antarctica. The data were obtained from 182 published articles, published between 1973 and 2017, and 17 unpublished datasets. Amalgamating data into a single global database will assist researchers in investigating and answering a wide variety of pressing questions, for example, jointly assessing aboveground and belowground biodiversity distributions and drivers of biodiversity change.

Published
2021

9. Towards an integrative understanding of soil biodiversity

Author

Thakur, Madhav P., Phillips, Helen R.P., Brose, Ulrich, De Vries, Franciska T., Lavelle, Patrick, Loreau, Michel, Mathieu, Jerome, Mulder, Christian, Van der Putten, Wim H., Rillig, Matthias C., Wardle, David A., Bach, Elizabeth M., Bartz, Marie L.C., Bennett, Joanne M., Briones, Maria J.I., Brown, George, Decaëns, Thibaud, Eisenhauer, Nico, Ferlian, Olga, Guerra, Carlos António, König-Ries, Birgitta, Orgiazzi, Alberto, Ramirez, Kelly S., Russell, David J., Rutgers, Michiel, Wall, Diana H., Cameron, Erin K., Thakur, Madhav P., Phillips, Helen R.P., Brose, Ulrich, De Vries, Franciska T., Lavelle, Patrick, Loreau, Michel, Mathieu, Jerome, Mulder, Christian, Van der Putten, Wim H., Rillig, Matthias C., Wardle, David A., Bach, Elizabeth M., Bartz, Marie L.C., Bennett, Joanne M., Briones, Maria J.I., Brown, George, Decaëns, Thibaud, Eisenhauer, Nico, Ferlian, Olga, Guerra, Carlos António, König-Ries, Birgitta, Orgiazzi, Alberto, Ramirez, Kelly S., Russell, David J., Rutgers, Michiel, Wall, Diana H., and Cameron, Erin K.

Abstract

Soil is one of the most biodiverse terrestrial habitats. Yet, we lack an integrative conceptual framework for understanding the patterns and mechanisms driving soil biodiversity. One of the underlying reasons for our poor understanding of soil biodiversity patterns relates to whether key biodiversity theories (historically developed for aboveground and aquatic organisms) are applicable to patterns of soil biodiversity. Here, we present a systematic literature review to investigate whether and how key biodiversity theories (species–energy relationship, theory of island biogeography, metacommunity theory, niche theory and neutral theory) can explain observed patterns of soil biodiversity. We then discuss two spatial compartments nested within soil at which biodiversity theories can be applied to acknowledge the scale-dependent nature of soil biodiversity.

Published
2020

10. A cross-scale assessment of productivity–diversity relationships

Author

Craven, Dylan, van der Sande, Masha T., Meyer, Carsten, Gerstner, Katharina, Bennett, Joanne M., Giling, Darren P., Hines, Jes, Phillips, Helen R.P., May, Felix, Bannar-Martin, Katherine H., Chase, Jonathan M., Keil, Petr, Craven, Dylan, van der Sande, Masha T., Meyer, Carsten, Gerstner, Katharina, Bennett, Joanne M., Giling, Darren P., Hines, Jes, Phillips, Helen R.P., May, Felix, Bannar-Martin, Katherine H., Chase, Jonathan M., and Keil, Petr

Abstract

Aim: Biodiversity and ecosystem productivity vary across the globe, and considerable effort has been made to describe their relationships. Biodiversity and ecosystem functioning research has traditionally focused on how experimentally controlled species richness affects net primary productivity (S → NPP) at small spatial grains. In contrast, the influence of productivity on richness (NPP → S) has been explored at many grains in naturally assembled communities. Mismatches in spatial scale between approaches have fuelled debate about the strength and direction of biodiversity–productivity relationships. Here, we examine the direction and strength of the influence of productivity on diversity (NPP → S) and the influence of diversity on productivity (S → NPP) and how these vary across spatial grains. Location: Contiguous USA. Time period: 1999–2015. Major taxa studied: Woody species (angiosperms and gymnosperms). Methods: Using data from North American forests at grains from local (672 m2) to coarse spatial units (median area = 35,677 km2), we assess relationships between diversity and productivity using structural equation and random forest models, while accounting for variation in climate, environmental heterogeneity, management and forest age. Results: We show that relationships between S and NPP strengthen with spatial grain. Within each grain, S → NPP and NPP → S have similar magnitudes, meaning that processes underlying S → NPP and NPP → S either operate simultaneously or that one of them is real and the other is an artefact. At all spatial grains, S was one of the weakest predictors of forest productivity, which was largely driven by biomass, temperature and forest management and age. Main conclusions: We conclude that spatial grain mediates relationships between biodiversity and productivity in real-world ecosystems and that results supporting predictions from each approach (NPP → S and S → NPP) serve as an impetus for future studies testing underlying mechanism

Published
2020

11. Global data on earthworm abundance, biomass, diversity and corresponding environmental properties

Author

Phillips, Helen R.P., Guerra, Carlos A., Bartz, Marie L.C., Briones, Maria J.I., Brown, George, Crowther, Thomas W., Ferlian, Olga, Gongalsky, Konstantin B., Van Den Hoogen, Johan, Krebs, Julia, Orgiazzi, Alberto, Routh, Devin, Schwarz, Benjamin, Bach, Elizabeth M., Bennett, Joanne, Brose, Ulrich, Decaëns, Thibaud, König-Ries, Birgitta, Loreau, Michel, Mathieu, Jérôme, Mulder, Christian, Van Der Putten, Wim H., Ramirez, Kelly S., Rillig, Matthias C., Russell, David, Rutgers, Michiel, Thakur, Madhav P., De Vries, Franciska T., Wall, Diana H., Wardle, David A., Arai, Miwa, Ayuke, Fredrick O., Baker, Geoff H., Beauséjour, Robin, Bedano, José C., Birkhofer, Klaus, Blanchart, Eric, Blossey, Bernd, Bolger, Thomas, Bradley, Robert L., Callaham, Mac A., Capowiez, Yvan, Caulfield, Mark E., Choi, Amy, Crotty, Felicity V., Dávalos, Andrea, Diaz Cosin, Darío J., Dominguez, Anahí, Duhour, Andrés Esteban, Van Eekeren, Nick, Emmerling, Christoph, Falco, Liliana B., Fernández, Rosa, Fonte, Steven J., Fragoso, Carlos, Franco, André L.C., Fugère, Martine, Fusilero, Abegail T., Gholami, Shaieste, Gundale, Michael J., Gutiérrez Lopez, Monica, Hackenberger, Davorka K., Hernández, Luis M., Hishi, Takuo, Holdsworth, Andrew R., Holmstrup, Martin, Hopfensperger, Kristine N., Lwanga, Esperanza Huerta, Huhta, Veikko, Hurisso, Tunsisa T., Iannone, Basil V., Iordache, Madalina, Joschko, Monika, Kaneko, Nobuhiro, Kanianska, Radoslava, Keith, Aidan M., Kelly, Courtland A., Kernecker, Maria L., Klaminder, Jonatan, Koné, Armand W., Kooch, Yahya, Kukkonen, Sanna T., Lalthanzara, H., Lammel, Daniel R., Lebedev, Iurii M., Li, Yiqing, Jesus Lidon, Juan B., Lincoln, Noa K., Loss, Scott R., Marichal, Raphael, Matula, Radim, Moos, Jan Hendrik, Moreno, Gerardo, Mor n-Ríos, Alejandro, Muys, Bart, Neirynck, Johan, Norgrove, Lindsey, Novo, Marta, Nuutinen, Visa, Nuzzo, Victoria, Mujeeb Rahman, P., Pansu, Johan, Paudel, Shishir, Pérès, Guénola, Pérez-Camacho, Lorenzo, Piñeiro, Raúl, Ponge, Jean François, Rashid, Muhammad Imtiaz, Rebollo, Salvador, Rodeiro-Iglesias, Javier, Rodríguez, Miguel, Roth, Alexander M., Rousseau, Guillaume X., Rozen, Anna, Sayad, Ehsan, Van Schaik, Loes, Scharenbroch, Bryant C., Schirrmann, Michael, Schmidt, Olaf, Schröder, Boris, Seeber, Julia, Shashkov, Maxim P., Singh, Jaswinder, Smith, Sandy M., Steinwandter, Michael, Talavera, José A., Trigo, Dolores, Tsukamoto, Jiro, De Valença, Anne W., Vanek, Steven J., Virto, Iñigo, Wackett, Adrian A., Warren, Matthew W., Wehr, Nathaniel H., Whalen, Joann K., Wironen, Michael B., Wolters, Volkmar, Zenkova, Irina V., Zhang, Weixin, Cameron, Erin K., Eisenhauer, Nico, Phillips, Helen R.P., Guerra, Carlos A., Bartz, Marie L.C., Briones, Maria J.I., Brown, George, Crowther, Thomas W., Ferlian, Olga, Gongalsky, Konstantin B., Van Den Hoogen, Johan, Krebs, Julia, Orgiazzi, Alberto, Routh, Devin, Schwarz, Benjamin, Bach, Elizabeth M., Bennett, Joanne, Brose, Ulrich, Decaëns, Thibaud, König-Ries, Birgitta, Loreau, Michel, Mathieu, Jérôme, Mulder, Christian, Van Der Putten, Wim H., Ramirez, Kelly S., Rillig, Matthias C., Russell, David, Rutgers, Michiel, Thakur, Madhav P., De Vries, Franciska T., Wall, Diana H., Wardle, David A., Arai, Miwa, Ayuke, Fredrick O., Baker, Geoff H., Beauséjour, Robin, Bedano, José C., Birkhofer, Klaus, Blanchart, Eric, Blossey, Bernd, Bolger, Thomas, Bradley, Robert L., Callaham, Mac A., Capowiez, Yvan, Caulfield, Mark E., Choi, Amy, Crotty, Felicity V., Dávalos, Andrea, Diaz Cosin, Darío J., Dominguez, Anahí, Duhour, Andrés Esteban, Van Eekeren, Nick, Emmerling, Christoph, Falco, Liliana B., Fernández, Rosa, Fonte, Steven J., Fragoso, Carlos, Franco, André L.C., Fugère, Martine, Fusilero, Abegail T., Gholami, Shaieste, Gundale, Michael J., Gutiérrez Lopez, Monica, Hackenberger, Davorka K., Hernández, Luis M., Hishi, Takuo, Holdsworth, Andrew R., Holmstrup, Martin, Hopfensperger, Kristine N., Lwanga, Esperanza Huerta, Huhta, Veikko, Hurisso, Tunsisa T., Iannone, Basil V., Iordache, Madalina, Joschko, Monika, Kaneko, Nobuhiro, Kanianska, Radoslava, Keith, Aidan M., Kelly, Courtland A., Kernecker, Maria L., Klaminder, Jonatan, Koné, Armand W., Kooch, Yahya, Kukkonen, Sanna T., Lalthanzara, H., Lammel, Daniel R., Lebedev, Iurii M., Li, Yiqing, Jesus Lidon, Juan B., Lincoln, Noa K., Loss, Scott R., Marichal, Raphael, Matula, Radim, Moos, Jan Hendrik, Moreno, Gerardo, Mor n-Ríos, Alejandro, Muys, Bart, Neirynck, Johan, Norgrove, Lindsey, Novo, Marta, Nuutinen, Visa, Nuzzo, Victoria, Mujeeb Rahman, P., Pansu, Johan, Paudel, Shishir, Pérès, Guénola, Pérez-Camacho, Lorenzo, Piñeiro, Raúl, Ponge, Jean François, Rashid, Muhammad Imtiaz, Rebollo, Salvador, Rodeiro-Iglesias, Javier, Rodríguez, Miguel, Roth, Alexander M., Rousseau, Guillaume X., Rozen, Anna, Sayad, Ehsan, Van Schaik, Loes, Scharenbroch, Bryant C., Schirrmann, Michael, Schmidt, Olaf, Schröder, Boris, Seeber, Julia, Shashkov, Maxim P., Singh, Jaswinder, Smith, Sandy M., Steinwandter, Michael, Talavera, José A., Trigo, Dolores, Tsukamoto, Jiro, De Valença, Anne W., Vanek, Steven J., Virto, Iñigo, Wackett, Adrian A., Warren, Matthew W., Wehr, Nathaniel H., Whalen, Joann K., Wironen, Michael B., Wolters, Volkmar, Zenkova, Irina V., Zhang, Weixin, Cameron, Erin K., and Eisenhauer, Nico

Abstract

Data collated from data provided by original data collectors or from data provided within published articles. The MetaData.csv provides information on each of the original data sources, including bibliographic information about the original article and information on how many sites were sampled. The SiteData.csv gives site-level variables, such as geographic coordinates, the environmental parameters as well as site-level community metrics (species richness, total abundance and total biomass). The SppOccData.csv provides the observation level data - the occurrence, abundance and/or biomass of individual species/morpho-species/life-stage at a particular site. Not every data source contained such observation level data. Metadata information about the variables in each file are provided in the files MetaData_info.csv, SiteData_info.csv and SppOccData_info.csv, respectively. All files provided use the character encoding UTF-8, and missing values are represented by "NA"., This dataset contains key characteristics about the data described in the Data Descriptor Global data on earthworm abundance, biomass, diversity and corresponding environmental properties. Contents: 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format ---------------------------------------------------------------- Please remove before publishing. manuscript number: SDATA-20-00920 edit url: https://scientificdata.metadata-creator.com/?id=ag5maWdtZXRhLTIzMDExMXIXCxIKU3VibWlzc2lvbhiAgICgzKucCgw Related publications: https://doi.org/10.1126/science.aax4851 Please remove before publishing.

Published
2020

12. Methods and approaches to advance soil macroecology

Author

White, Hannah J., primary, León‐Sánchez, Lupe, additional, Burton, Victoria J., additional, Cameron, Erin K., additional, Caruso, Tancredi, additional, Cunha, Luís, additional, Dirilgen, Tara, additional, Jurburg, Stephanie D., additional, Kelly, Ruth, additional, Kumaresan, Deepak, additional, Ochoa‐Hueso, Raúl, additional, Ordonez, Alejandro, additional, Phillips, Helen R.P., additional, Prieto, Iván, additional, Schmidt, Olaf, additional, and Caplat, Paul, additional

Published
2020
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14. Conventional land-use intensification reduces species richness and increases production: A global meta-analysis

Author

Beckmann, Michael, Gerstner, Katharina, Akin-Fajiye, Morodoluwa, Ceaușu, Silvia, Kambach, Stephan, Kinlock, Nicole L., Phillips, Helen R.P., Verhagen, Willem, Gurevitch, Jessica, Klotz, Stefan, Newbold, Tim, Verburg, Peter H., Winter, Marten, Seppelt, Ralf, Beckmann, Michael, Gerstner, Katharina, Akin-Fajiye, Morodoluwa, Ceaușu, Silvia, Kambach, Stephan, Kinlock, Nicole L., Phillips, Helen R.P., Verhagen, Willem, Gurevitch, Jessica, Klotz, Stefan, Newbold, Tim, Verburg, Peter H., Winter, Marten, and Seppelt, Ralf

Abstract

Most current research on land-use intensification addresses its potential to either threaten biodiversity or to boost agricultural production. However, little is known about the simultaneous effects of intensification on biodiversity and yield. To determine the responses of species richness and yield to conventional intensification, we conducted a global meta-analysis synthesizing 115 studies which collected data for both variables at the same locations. We extracted 449 cases that cover a variety of areas used for agricultural (crops, fodder) and silvicultural (wood) production. We found that, across all production systems and species groups, conventional intensification is successful in increasing yield (grand mean + 20.3%), but it also results in a loss of species richness (−8.9%). However, analysis of sub-groups revealed inconsistent results. For example, small intensification steps within low intensity systems did not affect yield or species richness. Within high-intensity systems species losses were non-significant but yield gains were substantial (+15.2%). Conventional intensification within medium intensity systems revealed the highest yield increase (+84.9%) and showed the largest loss in species richness (−22.9%). Production systems differed in their magnitude of richness response, with insignificant changes in silvicultural systems and substantial losses in crop systems (−21.2%). In addition, this meta-analysis identifies a lack of studies that collect robust biodiversity (i.e. beyond species richness) and yield data at the same sites and that provide quantitative information on land-use intensity. Our findings suggest that, in many cases, conventional land-use intensification drives a trade-off between species richness and production. However, species richness losses were often not significantly different from zero, suggesting even conventional intensification can result in yield increases without coming at the expense of biodiversity loss. These resu

Published
2019
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15. Global distribution of earthworm diversity

Author

Phillips, Helen R.P., Guerra, Carlos A., Bartz, Marie L.C., Briones, Maria J.I., Brown, George, Crowther, Thomas W., Ferlian, Olga, Gongalsky, Konstantin B., van den Hoogen, Johan, Krebs, Julia, Orgiazzi, Alberto, Routh, Devin, Schwarz, Benjamin, Bach, Elizabeth M., Bennett, Joanne, Brose, Ulrich, Decaëns, Thibaud, König-Ries, Birgitta, Loreau, Michel, Mathieu, Jérôme, Mulder, Christian, van der Putten, Wim H., Ramirez, Kelly S., Rillig, Matthias C., Russell, David, Rutgers, Michiel, Thakur, Madhav P., de Vries, Franciska T., Wall, Diana H., Wardle, David A., Arai, Miwa, Ayuke, Fredrick O., Baker, Geoff H., Beauséjour, Robin, Bedano, José C., Birkhofer, Klaus, Blanchart, Eric, Blossey, Bernd, Bolger, Thomas, Bradley, Robert L., Callaham, Mac A., Capowiez, Yvan, Caulfield, Mark E., Choi, Amy, Crotty, Felicity V., Dávalos, Andrea, Cosin, Darío J. Diaz, Dominguez, Anahí, Duhour, Andrés Esteban, van Eekeren, Nick, Emmerling, Christoph, Falco, Liliana B., Fernández, Rosa, Fonte, Steven J., Fragoso, Carlos, Franco, André L.C., Fugère, Martine, Fusilero, Abegail T., Gholami, Shaieste, Gundale, Michael J., López, Mónica Gutiérrez, Hackenberger, Davorka K., Hernández, Luis M., Hishi, Takuo, Holdsworth, Andrew R., Holmstrup, Martin, Hopfensperger, Kristine N., Lwanga, Esperanza Huerta, Huhta, Veikko, Hurisso, Tunsisa T., Iannone, Basil V., Iordache, Madalina, Joschko, Monika, Kaneko, Nobuhiro, Kanianska, Radoslava, Keith, Aidan M., Kelly, Courtland A., Kernecker, Maria L., Klaminder, Jonatan, Koné, Armand W., Kooch, Yahya, Kukkonen, Sanna T., Lalthanzara, H., Lammel, Daniel R., Lebedev, Iurii M., Li, Yiqing, Lidon, Juan B. Jesus, Lincoln, Noa K., Loss, Scott R., Marichal, Raphael, Matula, Radim, Moos, Jan Hendrik, Moreno, Gerardo, Morón-Ríos, Alejandro, Muys, Bart, Neirynck, Johan, Norgrove, Lindsey, Novo, Marta, Nuutinen, Visa, Nuzzo, Victoria, Rahman P, Mujeeb, Pansu, Johan, Paudel, Shishir, Pérès, Guénola, Pérez-Camacho, Lorenzo, Piñeiro, Raúl, Ponge, Jean-François, Rashid, Muhammad Imtiaz, Rebollo, Salvador, Rodeiro-Iglesias, Javier, Rodríguez, Miguel Á., Roth, Alexander M., Rousseau, Guillaume X., Rozen, Anna, Sayad, Ehsan, van Schaik, Loes, Scharenbroch, Bryant C., Schirrmann, Michael, Schmidt, Olaf, Schröder, Boris, Seeber, Julia, Shashkov, Maxim P., Singh, Jaswinder, Smith, Sandy M., Steinwandter, Michael, Talavera, José A., Trigo, Dolores, Tsukamoto, Jiro, de Valença, Anne W., Vanek, Steven J., Virto, Iñigo, Wackett, Adrian A., Warren, Matthew W., Wehr, Nathaniel H., Whalen, Joann K., Wironen, Michael B., Wolters, Volkmar, Zenkova, Irina V., Zhang, Weixin, Cameron, Erin K., Eisenhauer, Nico, Phillips, Helen R.P., Guerra, Carlos A., Bartz, Marie L.C., Briones, Maria J.I., Brown, George, Crowther, Thomas W., Ferlian, Olga, Gongalsky, Konstantin B., van den Hoogen, Johan, Krebs, Julia, Orgiazzi, Alberto, Routh, Devin, Schwarz, Benjamin, Bach, Elizabeth M., Bennett, Joanne, Brose, Ulrich, Decaëns, Thibaud, König-Ries, Birgitta, Loreau, Michel, Mathieu, Jérôme, Mulder, Christian, van der Putten, Wim H., Ramirez, Kelly S., Rillig, Matthias C., Russell, David, Rutgers, Michiel, Thakur, Madhav P., de Vries, Franciska T., Wall, Diana H., Wardle, David A., Arai, Miwa, Ayuke, Fredrick O., Baker, Geoff H., Beauséjour, Robin, Bedano, José C., Birkhofer, Klaus, Blanchart, Eric, Blossey, Bernd, Bolger, Thomas, Bradley, Robert L., Callaham, Mac A., Capowiez, Yvan, Caulfield, Mark E., Choi, Amy, Crotty, Felicity V., Dávalos, Andrea, Cosin, Darío J. Diaz, Dominguez, Anahí, Duhour, Andrés Esteban, van Eekeren, Nick, Emmerling, Christoph, Falco, Liliana B., Fernández, Rosa, Fonte, Steven J., Fragoso, Carlos, Franco, André L.C., Fugère, Martine, Fusilero, Abegail T., Gholami, Shaieste, Gundale, Michael J., López, Mónica Gutiérrez, Hackenberger, Davorka K., Hernández, Luis M., Hishi, Takuo, Holdsworth, Andrew R., Holmstrup, Martin, Hopfensperger, Kristine N., Lwanga, Esperanza Huerta, Huhta, Veikko, Hurisso, Tunsisa T., Iannone, Basil V., Iordache, Madalina, Joschko, Monika, Kaneko, Nobuhiro, Kanianska, Radoslava, Keith, Aidan M., Kelly, Courtland A., Kernecker, Maria L., Klaminder, Jonatan, Koné, Armand W., Kooch, Yahya, Kukkonen, Sanna T., Lalthanzara, H., Lammel, Daniel R., Lebedev, Iurii M., Li, Yiqing, Lidon, Juan B. Jesus, Lincoln, Noa K., Loss, Scott R., Marichal, Raphael, Matula, Radim, Moos, Jan Hendrik, Moreno, Gerardo, Morón-Ríos, Alejandro, Muys, Bart, Neirynck, Johan, Norgrove, Lindsey, Novo, Marta, Nuutinen, Visa, Nuzzo, Victoria, Rahman P, Mujeeb, Pansu, Johan, Paudel, Shishir, Pérès, Guénola, Pérez-Camacho, Lorenzo, Piñeiro, Raúl, Ponge, Jean-François, Rashid, Muhammad Imtiaz, Rebollo, Salvador, Rodeiro-Iglesias, Javier, Rodríguez, Miguel Á., Roth, Alexander M., Rousseau, Guillaume X., Rozen, Anna, Sayad, Ehsan, van Schaik, Loes, Scharenbroch, Bryant C., Schirrmann, Michael, Schmidt, Olaf, Schröder, Boris, Seeber, Julia, Shashkov, Maxim P., Singh, Jaswinder, Smith, Sandy M., Steinwandter, Michael, Talavera, José A., Trigo, Dolores, Tsukamoto, Jiro, de Valença, Anne W., Vanek, Steven J., Virto, Iñigo, Wackett, Adrian A., Warren, Matthew W., Wehr, Nathaniel H., Whalen, Joann K., Wironen, Michael B., Wolters, Volkmar, Zenkova, Irina V., Zhang, Weixin, Cameron, Erin K., and Eisenhauer, Nico

Abstract

Soil organisms, including earthworms, are a key component of terrestrial ecosystems. However, little is known about their diversity, their distribution, and the threats affecting them. We compiled a global dataset of sampled earthworm communities from 6928 sites in 57 countries as a basis for predicting patterns in earthworm diversity, abundance, and biomass. We found that local species richness and abundance typically peaked at higher latitudes, displaying patterns opposite to those observed in aboveground organisms. However, high species dissimilarity across tropical locations may cause diversity across the entirety of the tropics to be higher than elsewhere. Climate variables were found to be more important in shaping earthworm communities than soil properties or habitat cover. These findings suggest that climate change may have serious implications for earthworm communities and for the functions they provide.

Published
2019

16. The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project

Author

Hudson, Lawrence N., Newbold, Tim, Contu, Sara, Hill, Samantha L.L., Lysenko, Igor, De Palma, Adriana, Phillips, Helen R.P., Alhusseini, Tamera I., Bedford, Felicity E., Bennett, Dominic J., Peri, Pablo Luis, and Purvis, Andy

Subjects
Uso de la Tierra, Ecology, Pérdida de Habitat, Conservation Biology, Servicios de los Ecosistemas, Modelos, Base de Datos, Biodiversity, Biología de la Conservación, Ecología, Impacto Humano, Biodiversidad, Biomes, Databases, Data Sharing Global Biodiversity Modelling, Human Impact, Intercambio de Datos Modelados de Biodiversidad Global, Biomas, Models, Land Use, Habitat Loss, Global Change, Ecosystem Services, Cambio Global
Abstract

The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity. EEA Santa Cruz Fil: Hudson, Lawrence N. Natural History Museum. Department of Life Sciences; Reino Unido Fil: Newbold, Tim. World Conservation Monitoring Centre. United Nations Environment Programme; Reino Unido Fil: Newbold, Tim. University College London. Centre for Biodiversity and Environment, Research. Department of Genetics, Evolution and Environment; Reino Unido Fil: Contu, Sara. Natural History Museum. Department of Life Sciences; Reino Unido Fil: Hill, Samantha L. L. Natural History Museum. Department of Life Sciences; Reino Unido Fil: Hill, Samantha L. L. World Conservation Monitoring Centre. United Nations Environment Programme; Reino Unido Fil: Lysenko, Igor. Imperial College London. Department of Life Sciences; Reino Unido Fil: De Palma, Adriana. Natural History Museum. Department of Life Sciences; Reino Unido Fil: De Palma, Adriana. Imperial College London. Department of Life Sciences; Reino Unido Fil: Phillips, Helen R. P. Natural History Museum. Department of Life Sciences; Reino Unido Fil: Phillips, Helen R. P. Imperial College London. Department of Life Sciences; Reino Unido Fil: Alhusseini, Tamera I. Imperial College London. South Kensington; Reino Unido Fil: Bedford, Felicity E. Cambridge University. Department of Zoology; Reino Unido Fil: Bennett, Dominic J. Imperial College London. Department of Life Sciences; Reino Unido Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina. Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Purvis, Andy. Natural History Museum. Department of Life Sciences; Reino Unido Fil: Purvis, Andy. Imperial College London. Department of Life Sciences; Reino Unido

Published
2017

18. The 2016 release of the PREDICTS database

Author

Hudson, Lawrence N., Newbold, Tim, Contu, Sara, Hill, Samantha L.L., Lysenko, Igor, De Palma, Adriana, Phillips, Helen R.P., Alhusseini, Tamera I., Bedford, Felicity E., Bennett, Dominic J., Bugter, R.J.F., Hudson, Lawrence N., Newbold, Tim, Contu, Sara, Hill, Samantha L.L., Lysenko, Igor, De Palma, Adriana, Phillips, Helen R.P., Alhusseini, Tamera I., Bedford, Felicity E., Bennett, Dominic J., and Bugter, R.J.F.

Published
2016

19. The PREDICTS database: A global database of how local terrestrial biodiversity responds to human impacts

Author

Hudson, Lawrence N., Newbold, Tim, Contu, Sara, Hill, Samantha L.L., Lysenko, Igor, De Palma, Adriana, Phillips, Helen R.P., Senior , Rebecca A., Bennett, Dominic J., Booth, Hollie, Choimes, Argyrios, Correia, David L.P., Day, Julie, Echeverria-Londono, Susy, Garon, Morgan, Harrison, Michelle L.K., Ingram, Daniel J., Jung, Martin, Kemp, Victoria, Kirkpatrick, Lucinda, Martin, Callum D., Pan, Yuan, White, Hannah J., Aben, Job, Abrahamczyk, Stefan, Adum, Gilbert B., Aguilar-Barquero, Virginia, Aizen, Marcelo A., Ancrenaz, Marc, Arbelaez-Cortes, Enrique, Armbrecht, Inge, Azhar, Badrul, Azpiroz, Adrian B., Baeten, Lander, Báldi, András, Banks, John E., Barlow, Jos, Batary, Péter, Bates, Adam J., Bayne, Erin M., Beja, Pedro, Berg, Ake, Berry, Nicholas J., Bicknell, Jake E., Bihn, Jochen H., Böhning-Gaese, Katrin, Boekhout, Teun, Boutin , Céline, Bouyer, Jérémy, Brearley, Francis Q., Brito, Isabel, Brunet, Jorg, Buczkowski, Grzegorz, Buscardo, Erika, Cabra-Garcia, Jimmy, Calvino-Cancela, Maria, Cameron, Sydney A., Cancello, Eliana M., Carrijo, Tiago F., Carvalho, Anelena, Castro, Helena, Castro-Luna, Alejandro a., Cerda, Rolando, Cerezo, Alexis, Chauvat, Matthieu, Clarke, Frank M., Cleary, Daniel F. R., Connop, Stuart P., D'Aniello, Biagio, da Silva, Pedro Giovani, Darvill, Ben, Dauber, Jens, Dejean, Alain, Diekötter, Tim, Dominguez-Haydar, Yamileth, Dormann, Carsten F., Dumont, Bertrand, Dures, Simon G., Dynesius, Mats, Edenius, Lars, Eleki, Zoltan, Entling, Martin H., Farwig , Nina, Fayle, Tom M., Felicioli, Antonio, Felton, Annika M., Ficetola, Gentile Francesco, Filgueiras, Bruno K. C., Fonte, Steven J., Fraser, Lauchlan H., Fukuda, Daisuke, Furlani, Dario, Ganzhorn, Jörg U., Garden, Jenni G., Gheler-Costa, Carla, Giordani, Paolo, Giordano, Simonetta, Gottschalk, Marco S., Goulson, Dave, Le Feon, Violette, Natural History Museum [Oslo], University of Oslo (UiO), United Nations Environment Programme World Conservation Monitoring Centre, Computational Ecology and Environmental Science, Microsoft Research, United Nations Environment Programma World Conservation Monitoring Centre, Imperial College London, Africa Regional Office, Frankfurt Zoological Society, School of Life Sciences, University of Sussex, Center Macroecology, Evolution and Climate, Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), University of Stirling, Department of Animal and Plant Sciences [Sheffield], University of Sheffield [Sheffield], School of Biological Sciences [Belfast], Queen's University [Belfast] (QUB), Evolutionary Ecology Group, University of Antwerp (UA), Nees Institut for Plant Biodiversity, Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Wildlife and Range Management, Kwame Nkrumah University of Science and Technology (KNUST), Save the frogs! Ghana, Escuela de Biologia, Universidad Nacional de Costa Rica, Instituto Nacional de Investigaciones en Biodiversidad y Medioambiente [Bariloche] (INIBIOMA-CONICET), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Universidad Nacional del Comahue [Neuquén] (UNCOMA), Kinabatangan Orang-utan Conservation Program, Kinabatangan Orang-utan Conservation Program (HUTAN), Facultad de Ciencias Museo de Zoologia, Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM), Coleccion de Tejidos, Instituto de Investigation de Recursos Biologicos Alexandr von Humboldt, Department of Biology, Universidad del Valle, Institute of Bioscience - Biodiversity Unit, Universiti Putra Malaysia, Faculty of Forestry, Laboratorio de Genetica de la Conservacion, Instituto de Investigaciones Biológicas Clemente Estable [Montevideo] (IIBCE), Department of Forest and Water Management, Forest & Nature Lab, Universiteit Gent = Ghent University (UGENT), Department of Biology, Terrestrial Ecology Unit, MTA Centre for Ecological Research, University of Washington, Lancaster Environment Centre, Lancaster University, Museu Paraense Emílio Goeldi [Belém, Brésil] (MPEG), Agroecology, Georg-August-University = Georg-August-Universität Göttingen, University of Birmingham [Birmingham], Department of Biological Sciences, biological Sciences Centre, University of Alberta, Centro de Investigaçao em Biodiversidade e Recursos Geneticos, Universidade do Porto = University of Porto, The Swedish Biodiversity Centre, Swedish University of Agricultural Sciences (SLU), School of Geosciences [Edinburgh], University of Edinburgh, School of Anthropology and Conservation, University of Kent [Canterbury], Iwokrama International Centre for Rainforest Conservation and Development, Department of Animal Ecology, Philipps Universität Marburg = Philipps University of Marburg, Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Goethe-Universität Frankfurt am Main-Senckenberg – Leibniz Institution for Biodiversity and Earth System Research - Senckenberg Gesellschaft für Naturforschung, Leibniz Association-Leibniz Association, Institute for Ecology, Evolution & Diversity, Biologicum, Goethe-University Frankfurt am Main, CBS-KNAW Fungal Biodiversity Centre, Environment Canada, Science & Technology Branch, Carleton University, Contrôle des maladies animales exotiques et émergentes (UMR CMAEE), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA), School of Science and the Environment, Manchester Metropolitan University (MMU), University of Évora [Portugal], Southern Swedish Forest Research Centre, Department of Entomology, Purdue University [West Lafayette], Centro de Ecologia Funcional, Departamento de Ciencias da Vida, Universidade de Coimbra, Escritorio Central do LBA, Instituto Nacional de Pesquisas da Amazônia (INPA), School of Natural Sciences, Department of Botany, Trinity College Dublin, Instituto de Biociencias, Departamento de Zoologia, Universidade de São Paulo = University of São Paulo (USP), Faculty of Sciences, Department of Ecology and Animal Biology, University of Vigo [ Pontevedra], University of Illinois System, Museu de Zoologia, Centre for Functional ecology, University of Coimbra [Portugal] (UC), Instituto de Biotecnologia y Ecologia Aplicada, Universidad Veracruzana, Tropical Agricultural Research and Higher Education Center, Centro Agronómico Tropical de Investigación y Enseñanza (CATIE), Faculty of Agronomy, Department of Quantitative Methods and Information Systems, Universitad de Buenos Aires = University of Buenos Aires [Argentina], Étude et compréhension de la biodiversité (ECODIV), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU), University of Aberdeen, Universidade de Aveiro, Sustainability Research Institute, University of East London (UEL), University of Naples Federico II = Università degli studi di Napoli Federico II, Programa de Pos-graduaçao em Ecologia, Universidade Federal de Santa Catarina = Federal University of Santa Catarina [Florianópolis] (UFSC), British Trust for Ornithology (BTO), Thünen Institute of Biodiversity, Ecologie des forêts de Guyane (ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université des Antilles et de la Guyane (UAG)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Laboratoire Ecologie Fonctionnelle et Environnement (LEFE), Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT), Institute for Nature and Resource Conservation, Department of Landscape Ecology, Kiel University, Department of Biology, Nature Conservation, Institute of Integrative Biology, Programa de Biologia, Universidad del Atlantico, Department of Biometry and Environmental System Analysis, Albert-Ludwigs-Universität Freiburg, Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Institute of Zoology, Zoological Society of London, Department of Ecology and Environmental Science [Umeå], Umeå University, Department of Wildlife, Fish and Environmental Studies, Centre for Ecological Research [Budapest], Eötvös Loránd University (ELTE)-Hungarian Academy of Sciences (MTA), Institute of Environmental Sciences [Landau], University of Koblenz-Landau, Department of Ecology-Conservation Ecology, Faculty of Biology, Faculty of Science, Institute of Entomology, Biology centre of Academy of Sciences, University of South Bohemia, Institute for Tropical Biology and Conservation, Universiti Malaysia Sabah, Dipartimento di Scienze Veterinarie, Laboratoire d'Ecologie Alpine (LECA), Université Joseph Fourier - Grenoble 1 (UJF)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Programa de Pos-Graduaçao em Biologia Animal, Universidade Federal de Pernambuco [Recife] (UFPE), Department of Plant Sciences, University of California [Davis] (UC Davis), University of California (UC)-University of California (UC), Department of Natural Resource Sciences, Thompson Rivers University (TRU), IDA Consultants Inc., Okinawa Branch Office, Carl Zeiss Microscopy GmbH, Biocentre Grindel, University of Hamburg, Seed Consulting Services, School of Geography, Planning and Environmental Management, University of Queensland [Brisbane], Ecologia aplicada/Applied Ecology, Universidade Sagrado Coraçao, DISTAV, Università degli studi di Genova = University of Genoa (UniGe), Dipartimento di Biologia, Universidade Federal de Pelotas = Federal University of Pelotas (UFPel), Abeilles et Environnement (AE), Institut National de la Recherche Agronomique (INRA)-Avignon Université (AU), University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Kwame Nkrumah University of Science and Technology [GHANA] (KNUST), Universidad Nacional Autónoma de México (UNAM), Ghent University [Belgium] (UGENT), Department of Biological Sciences-Lancaster University, Museu Paraense Emílio Goeldi, Georg-August-University [Göttingen], Universidade do Porto [Porto], Phillips Universität (Marburg), Goethe-Universität Frankfurt am Main-Senckenberg Gesellschaft für Naturforschung, Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Universidade de São Paulo (USP), Centre for Functional ecology, Department of Life Sciences, University of Buenos Aires, Università degli studi di Napoli Federico II, Universidade Federal de Santa Catarina [Florianópolis] (UFSC), British Trust for Ornithology, Laboratoire Ecologie Fonctionnelle et Environnement (ECOLAB), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, Biometry and Environmental System Analysis, University of Freiburg [Freiburg], Unité Mixte de Recherches sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique (INRA), Department of Ecology and Environmental Science, Wildlife, Fish and Environmental Studies, The Southern Swedish Forest Research Centre, Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), University of California-University of California, Thompson Rivers University, Universita degli studi di Genova, Natural History Museum, Center for Macroecology, Climate and Evolution, The Natural History Museum of Denmark, Queen's University [Belfast] ( QUB ), University of Antwerp ( UA ), University of Bonn (Rheinische Friedrich-Wilhelms), Kwame Nkrumah University of Science and Technology [GHANA] ( KNUST ), Lab INIBIOMA, Consejo Nacional de Investigaciones Científicas y Técnicas ( CONICET ), Kinabatangan Orang-utan Conservation Program ( HUTAN ), Universidad Nacional Autónoma de México ( UNAM ), Instituto de Investigaciones Biologicas Clemente Estable, Ghent University [Belgium] ( UGENT ), MCT/Museu Paraense Emilio Goeldi, University of Alberta [Edmonton], University of Porto, Swedish University of Agricultural Sciences ( SLU ), senckenberg Gesellschaft für Naturforschung, Biodiversity and Climate Research Centre (BiK-F), Contrôle des maladies animales exotiques et émergentes [Montpellier] ( CMAEE ), Institut National de la Recherche Agronomique ( INRA ) -Centre de coopération internationale en recherche agronomique pour le développement [CIRAD] : UMR15, Manchester Metropolitan University ( MMU ), Instituto Nacional de Pesquisas da Amazônia, Universidade de São Paulo ( USP ), University of Illinois, University of Coimbra [Portugal] ( UC ), Etude et compréhension de la biodiversité ( ECODIV ), Université de Rouen Normandie ( UNIROUEN ), Normandie Université ( NU ) -Normandie Université ( NU ), University of Aveiro, University of East London ( UEL ), Universidade Federal de Santa Catarina [Florianópolis] ( UFSC ), Ecologie des forêts de Guyane ( ECOFOG ), Centre de Coopération Internationale en Recherche Agronomique pour le Développement ( CIRAD ) -Institut National de la Recherche Agronomique ( INRA ) -Université des Antilles et de la Guyane ( UAG ) -AgroParisTech-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Ecologie Fonctionnelle et Environnement, Université Paul Sabatier - Toulouse 3 ( UPS ), Unité Mixte de Recherches sur les Herbivores ( UMR 1213 Herbivores ), VetAgro Sup ( VAS ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique ( INRA ), Hungarian Academy of Sciences, Ecology Research Group, Eötvös Loránd University ( ELTE ), Università di Pisa, Laboratoire d'Ecologie Alpine ( LECA ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Université Savoie Mont Blanc ( USMB [Université de Savoie] [Université de Chambéry] ) -Centre National de la Recherche Scientifique ( CNRS ), Universidade Federal de Pernambuco [Recife], University of California Davis, University of Genova, Universidade Federal de Pelotas, Abeilles et Environnement ( AE ), Institut National de la Recherche Agronomique ( INRA ) -Université d'Avignon et des Pays de Vaucluse ( UAPV ), Universiteit Gent = Ghent University [Belgium] (UGENT), Universidade do Porto, Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, and Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])

Subjects
Habitat destruction, [ SDV ] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], Land use, Data sharing, Global change
Abstract

© 2014 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. 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 - www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015. The collation of biodiversity datasets with broad taxonomic and biogeographic extents is necessary to understand historical declines and to project - and hopefully avert - future declines. We describe a newly collated database of more than 1.6 million biodiversity measurements 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.

Published
2014

20. The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts

Author

Contu, Sara, Hill, Samantha L.L., Lysenko, Igor, De Palma, Adriana, Phillips, Helen R.P., Senior , Rebecca A., Bennett, Dominic J., Booth, Hollie, Choimes, Argyrios, Correia, David L.P., Day, Julie, Echeverria-Londono, Susy, Garon, Morgan, Harrison, Michelle L.K., Ingram, Daniel J., Jung, Martin, Kemp, Victoria, Kirkpatrick, Lucinda, Martin, Callum D., Pan, Yuan, White, Hannah J., Aben, Job, Abrahamczyk, Stefan, Adum, Gilbert B., Aguilar-Barquero, Virginia, Aizen, Marcelo A., Ancrenaz, Marc, Arbelaez-Cortes, Enrique, Armbrecht, Inge, Azhar, Badrul, Azpiroz, Adrian B., Baeten, Lander, Báldi, András, Banks, John E., Barlow, Jos, Batary, Péter, Bates, Adam J., Bayne, Erin M., Beja, Pedro, Berg, Ake, Berry, Nicholas J., Bicknell, Jake E., Bihn, Jochen H., Böhning-Gaese, Katrin, Boekhout, Teun, Boutin , Céline, Bouyer, Jérémy, Brearley, Francis Q., Brito, Isabel, Brunet, Jorg, Buczkowski, Grzegorz, Buscardo, Erika, Cabra-Garcia, Jimmy, Calvino-Cancela, Maria, Cameron, Sydney A., Cancello, Eliana M., Carrijo, Tiago F., Carvalho, Anelena, Castro, Helena, Castro-Luna, Alejandro a., Cerda, Rolando, Cerezo, Alexis, Chauvat, Matthieu, Clarke, Frank M., Cleary, Daniel F. R., Connop, Stuart P., D'Aniello, Biagio, da Silva, Pedro Giovani, Darvill, Ben, Dauber, Jens, Dejean, Alain, Diekötter, Tim, Dominguez-Haydar, Yamileth, Dormann, Carsten F., Dumont, Bertrand, Dures, Simon G., Dynesius, Mats, Edenius, Lars, Eleki, Zoltan, Entling, Martin H., Farwig , Nina, Fayle, Tom M., Felicioli, Antonio, Felton, Annika M., Ficetola, Gentile Francesco, Filgueiras, Bruno K. C., Fonte, Steven J., Fraser, Lauchlan H., Fukuda, Daisuke, Furlani, Dario, Ganzhorn, Jörg U., Garden, Jenni G., Gheler-Costa, Carla, Giordani, Paolo, Giordano, Simonetta, Gottschalk, Marco S., Goulson, Dave, Le Feon, Violette, Hudson, Lawrence N., and Newbold, Tim

Subjects
analyse de données, base de données géographiques, Data sharing, Global change, Habitat destruction, Land use, base de données bibliographiques, classification taxonomique, impact, biodiversité
Abstract

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 - ). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.

Published
2014

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