Search Results
Challenges in producing policy-relevant global scenarios of biodiversity and ecosystem services
2020, Rosa, Isabel M.D., Purvis, Andy, Alkemade, Rob, Chaplin-Kramer, Rebecca, Ferrier, Simon, Guerra, Carlos A., Hurtt, George, Kim, HyeJin, Leadley, Paul, Martins, Inês S., Popp, Alexander, Schipper, Aafke M., van Vuuren, Detlef, Pereira, Henrique M.
Scenario-based modelling is a powerful tool to describe relationships between plausible trajectories of drivers, possible policy interventions, and impacts on biodiversity and ecosystem services. Model inter-comparisons are key in quantifying uncertainties and identifying avenues for model improvement but have been missing among the global biodiversity and ecosystem services modelling communities. The biodiversity and ecosystem services scenario-based inter-model comparison (BES-SIM) aims to fill this gap. We used global land-use and climate projections to simulate possible future impacts on terrestrial biodiversity and ecosystem services using a variety of models and a range of harmonized metrics. The goal of this paper is to reflect on the steps taken in BES-SIM, identify remaining methodological challenges, and suggest pathways for improvement. We identified five major groups of challenges; the need to: 1) better account for the role of nature in future human development storylines; 2) improve the representation of drivers in the scenarios by increasing the resolution (temporal, spatial and thematic) of land-use as key driver of biodiversity change and including additional relevant drivers; 3) explicitly integrate species- and trait-level biodiversity in ecosystem services models; 4) expand the coverage of the multiple dimensions of biodiversity and ecosystem services; and finally, 5) incorporate time-series or one-off historical data in the calibration and validation of biodiversity and ecosystem services models. Addressing these challenges would allow the development of more integrated global projections of biodiversity and ecosystem services, thereby improving their policy relevance in supporting the interlinked international conservation and sustainable development agendas. © 2019 The Authors
Global data on earthworm abundance, biomass, diversity and corresponding environmental properties
2021, Phillips, Helen R. P., Bach, Elizabeth M., Bartz, Marie L. C., Bennett, Joanne M., Beugnon, Rémy, Briones, Maria J. I., Brown, George G., Ferlian, Olga, Gongalsky, Konstantin B., Guerra, Carlos A., König-Ries, Birgitta, López-Hernández, Danilo, Loss, Scott R., Marichal, Raphael, Matula, Radim, Minamiya, Yukio, Moos, Jan Hendrik, Moreno, Gerardo, Morón-Ríos, Alejandro, Motohiro, Hasegawa, Muys, Bart, Krebs, Julia J., Neirynck, Johan, Norgrove, Lindsey, Novo, Marta, Nuutinen, Visa, Nuzzo, Victoria, Mujeeb Rahman, P., Pansu, Johan, Paudel, Shishir, Pérès, Guénola, Pérez-Camacho, Lorenzo, Orgiazzi, Alberto, Ponge, Jean-François, Prietzel, Jörg, Rapoport, Irina B., Rashid, Muhammad Imtiaz, Rebollo, Salvador, Rodríguez, Miguel Á., Roth, Alexander M., Rousseau, Guillaume X., Rozen, Anna, Sayad, Ehsan, Ramirez, Kelly S., van Schaik, Loes, Scharenbroch, Bryant, Schirrmann, Michael, Schmidt, Olaf, Schröder, Boris, Seeber, Julia, Shashkov, Maxim P., Singh, Jaswinder, Smith, Sandy M., Steinwandter, Michael, Russell, David J., Szlavecz, Katalin, Talavera, José Antonio, Trigo, Dolores, Tsukamoto, Jiro, Uribe-López, Sheila, de Valença, Anne W., Virto, Iñigo, Wackett, Adrian A., Warren, Matthew W., Webster, Emily R., Schwarz, Benjamin, Wehr, Nathaniel H., Whalen, Joann K., Wironen, Michael B., Wolters, Volkmar, Wu, Pengfei, Zenkova, Irina V., Zhang, Weixin, Cameron, Erin K., Eisenhauer, Nico, 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, Jose C., 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, Cosín, Darío J. Díaz, Dobson, Annise M., Domínguez, 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, Geraskina, Anna P., Gholami, Shaieste, González, Grizelle, Gundale, Michael J., López, Mónica Gutiérrez, Hackenberger, Branimir K., Hackenberger, Davorka K., Hernández, Luis M., Hirth, Jeff R., Hishi, Takuo, Holdsworth, Andrew R., Holmstrup, Martin, Hopfensperger, Kristine N., Lwanga, Esperanza Huerta, Huhta, Veikko, Hurisso, Tunsisa T., Iannone, 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.
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.