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29 results on '"Ondo, Ian"'

1. ENM2020: A Free Online Course and Set of Resources on Modeling Species' Niches and Distributions

Author

Peterson, A Townsend, Aiello-Lammens, Matthew, Amatulli, Giuseppe, Anderson, Robert, Cobos, Marlon, Diniz-Filho, José Alexandre, Escobar, Luis, Feng, Xiao, Franklin, Janet, Gadelha, Luiz, Georges, Damien, Guéguen, M, Gueta, Tomer, Ingenloff, Kate, Jarvie, Scott, Jiménez, Laura, Karger, Dirk, Kass, Jamie, Kearney, Michael, Loyola, Rafael, Machado-Stredel, Fernando, Martínez-Meyer, Enrique, Merow, Cory, Mondelli, Maria Luiza, Mortara, Sara, Muscarella, Robert, Myers, Corinne, Naimi, Babak, Noesgaard, Daniel, Ondo, Ian, Osorio-Olvera, Luis, Owens, Hannah, Pearson, Richard, Pinilla-Buitrago, Gonzalo, Sánchez-Tapia, Andrea, Saupe, Erin, Thuiller, Wilfried, Varela, Sara, Warren, Dan, Wieczorek, John, Yates, Katherine, Zhu, Gengping, Zuquim, Gabriela, and Zurell, Damaris

Subjects
Ecological niche model, Species distribution model, Course, Open access, Methods
Abstract

The field of distributional ecology has seen considerable recent attention, particularly surrounding the theory, protocols, and tools for Ecological Niche Modeling (ENM) or Species Distribution Modeling (SDM). Such analyses have grown steadily over the past two decades—including a maturation of relevant theory and key concepts—but methodological consensus has yet to be reached. In response, and following an online course taught in Spanish in 2018, we designed a comprehensive English-language course covering much of the underlying theory and methods currently applied in this broad field. Here, we summarize that course, ENM2020, and provide links by which resources produced for it can be accessed into the future. ENM2020 lasted 43 weeks, with presentations from 52 instructors, who engaged with >2500 participants globally through >14,000 hours of viewing and >90,000 views of instructional video and question-and-answer sessions. Each major topic was introduced by an “Overview” talk, followed by more detailed lectures on subtopics. The hierarchical and modular format of the course permits updates, corrections, or alternative viewpoints, and generally facilitates revision and reuse, including the use of only the Overview lectures for introductory courses. All course materials are free and openly accessible (CC-BY license) to ensure these resources remain available to all interested in distributional ecology.

Published
2022

2. Global bioregionalization of warm drylands based on tree assemblages mined from occurrence big data

Author

Cartereau, Manuel, Leriche, Agathe, Baumel, Alex, Ondo, Ian, Chatelain, Cyrille, Aronson, James, and Médail, Frédéric

Subjects
aridity, biodiversity, co-occurrence network, conservation, desert
Abstract

Drylands represent about 41% of Earth’s land area, host more than 1,500 tree species and support more than 20% of the world’s human population. Trees are key to the functioning of numerous dryland ecosystems and contribute to goods and services for many local human communities, but many are threatened by global changes. From this perspective, mapping tree species assemblages of drylands can provide valuable information for conservation. To our knowledge, warm drylands, including hot deserts, have never been subject to a comprehensive tree biodiversity analysis independent of administrative boundaries or pre-defined regions. Our study aimed to address this gap by redefining warm drylands based on climate data and delineating bioregions using tree species assemblages at the global scale. We based the analyses on aridity and temperature data and a co-occurrence network approach using more than 1,000 tree species. Our data are mined from the Desert Trees of the World database, the Global Biodiversity Information Facility database, and the African Plant Database. This new delimitation of warm drylands reveals eight bioregions, covering about 19% of Earth’s land area across all continents. These are: North America, two bioregions in South America, the southern Mediterranean Basin and Macaronesian islands, the Saharo-Sindian region and the Horn of Africa, Southern Africa, the Socotra archipelago, and Australia. These bioregions have very distinct tree species assemblages, as well as high rates of endemism. This original diversity is found under a wide range of aridity conditions both within and between bioregions, offering the opportunity to anticipate different responses of tree assemblages face to future climate change among the world’s warm drylands. It will aid in conservation, restoration, and rehabilitation strategies involving the use of native trees among the most threatened regions worldwide.

Published
2022

4. Areas of global importance for conserving terrestrial biodiversity, carbon and water

Author

Jung, Martin, Arnell, Andy, de Lamo, Xavier, García-Rangel, Shaenandhoa, Lewis, Matthew, Mark, Jennifer, Merow, Cory, Miles, Lera, Ondo, Ian, Pironon, Samuel, Ravilious, Corinna, Rivers, Malin, Schepaschenko, Dmitry, Tallowin, Oliver, van Soesbergen, Arnout, Govaerts, Rafaël, Boyle, Bradley L., Enquist, Brian J., Feng, Xiao, Gallagher, Rachael, Maitner, Brian, Meiri, Shai, Mulligan, Mark, Ofer, Gali, Roll, Uri, Hanson, Jeffrey O., Jetz, Walter, Di Marco, Moreno, McGowan, Jennifer, Rinnan, D. Scott, Sachs, Jeffrey D., Lesiv, Myroslava, Adams, Vanessa M., Andrew, Samuel C., Burger, Joseph R., Hannah, Lee, Marquet, Pablo A., McCarthy, James K., Morueta-Holme, Naia, Newman, Erica A., Park, Daniel S., Roehrdanz, Patrick R., Svenning, Jens-Christian, Violle, Cyrille, Wieringa, Jan J., Wynne, Graham, Fritz, Steffen, Strassburg, Bernardo B. N., Obersteiner, Michael, Kapos, Valerie, Burgess, Neil, Schmidt-Traub, Guido, and Visconti, Piero

Published
2021
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5. Plant diversity darkspots for global collection priorities.

Author

Ondo, Ian, Dhanjal‐Adams, Kiran L., Pironon, Samuel, Silvestro, Daniele, Colli‐Silva, Matheus, Deklerck, Victor, Grace, Olwen M., Monro, Alexandre K., Nicolson, Nicky, Walker, Barnaby, and Antonelli, Alexandre

Subjects
*PLANT diversity, *PLANT species, *SPECIES distribution, *BIODIVERSITY conservation, *SUSTAINABLE development, *VASCULAR plants
Abstract

Summary: More than 15% of all vascular plant species may remain scientifically undescribed, and many of the > 350 000 described species have no or few geographic records documenting their distribution. Identifying and understanding taxonomic and geographic knowledge shortfalls is key to prioritising future collection and conservation efforts.Using extensive data for 343 523 vascular plant species and time‐to‐event analyses, we conducted multiple tests related to plant taxonomic and geographic data shortfalls, and identified 33 global diversity darkspots (those 'botanical countries' predicted to contain most undescribed and not yet recorded species). We defined priority regions for future collection according to several socio‐economic and environmental scenarios.Most plant diversity darkspots are found within global biodiversity hotspots, with the exception of New Guinea. We identify Colombia, Myanmar, New Guinea, Peru, Philippines and Turkey as global collection priorities under all environmental and socio‐economic conditions considered.Our study provides a flexible framework to help accelerate the documentation of global plant diversity for the implementation of conservation actions. As digitisation of the world's herbaria progresses, collection and conservation priorities may soon be identifiable at finer scales. [ABSTRACT FROM AUTHOR]

Published
2024
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7. Plant diversity darkspots for global collection priorities

Author

Ondo, Ian, primary, Dhanjal-Adams, Kiran, additional, Pironon, Samuel, additional, Silvestro, Daniele, additional, Deklerck, Victor, additional, Grace, Olwen, additional, Monro, Alexandre K, additional, Nicolson, Nicky, additional, Walker, Barnaby, additional, and Antonelli, Alexandre, additional

Published
2023
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8. Author Correction: Areas of global importance for conserving terrestrial biodiversity, carbon and water

Author

Jung, Martin, Arnell, Andy, de Lamo, Xavier, García-Rangel, Shaenandhoa, Lewis, Matthew, Mark, Jennifer, Merow, Cory, Miles, Lera, Ondo, Ian, Pironon, Samuel, Ravilious, Corinna, Rivers, Malin, Schepaschenko, Dmitry, Tallowin, Oliver, van Soesbergen, Arnout, Govaerts, Rafaël, Boyle, Bradley L., Enquist, Brian J., Feng, Xiao, Gallagher, Rachael, Maitner, Brian, Meiri, Shai, Mulligan, Mark, Ofer, Gali, Roll, Uri, Hanson, Jeffrey O., Jetz, Walter, Di Marco, Moreno, McGowan, Jennifer, Rinnan, D. Scott, Sachs, Jeffrey D., Lesiv, Myroslava, Adams, Vanessa M., Andrew, Samuel C., Burger, Joseph R., Hannah, Lee, Marquet, Pablo A., McCarthy, James K., Morueta-Holme, Naia, Newman, Erica A., Park, Daniel S., Roehrdanz, Patrick R., Svenning, Jens-Christian, Violle, Cyrille, Wieringa, Jan J., Wynne, Graham, Fritz, Steffen, Strassburg, Bernardo B. N., Obersteiner, Michael, Kapos, Valerie, Burgess, Neil, Schmidt-Traub, Guido, and Visconti, Piero

Published
2021
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9. The global distribution of plants used by humans datasets: list of utilised species, occurrence data and model outputs at 10 arc-minutes spatial resolution

Author

Pironon, Samuel, Ondo, Ian, Diaz-Granados, Mauricio, Allkin, Robert, Baquero, Andrea C., Cámara-Leret, Rodrigo, Canteiro, Cátia, Dennehy-Carr, Zoe, Govaerts, Rafaël, Hargreaves, Serene, Hudson, Alex J., Lemmens, Roel, Milliken, William, Nesbitt, Mark, Patmore, Kristina, Schmelzer, Gaby, Turner, Rob M., van Andel, Tinde, Ulian, Tiziana, Antonelli, Alexander, Willis, Kathy J., Pironon, Samuel, Ondo, Ian, Diaz-Granados, Mauricio, Allkin, Robert, Baquero, Andrea C., Cámara-Leret, Rodrigo, Canteiro, Cátia, Dennehy-Carr, Zoe, Govaerts, Rafaël, Hargreaves, Serene, Hudson, Alex J., Lemmens, Roel, Milliken, William, Nesbitt, Mark, Patmore, Kristina, Schmelzer, Gaby, Turner, Rob M., van Andel, Tinde, Ulian, Tiziana, Antonelli, Alexander, and Willis, Kathy J.

Abstract

Datasets and model outputs used to map the global distribution of utilised plants by humans. The folder is composed of two subfolders raw_data and processed_data containing respectively the list of utilised plant species modelled -utilised_plants_species_list.csv-, and their occurrence data -occurrence_data.zip- and predicted distribution -species_proba_per_cell.rds-.

Published
2023

10. Machine learning enhances prediction of plants as potential sources of antimalarials

Author

Richard-Bollans, Adam, primary, Aitken, Conal, additional, Antonelli, Alexandre, additional, Bitencourt, Cássia, additional, Goyder, David, additional, Lucas, Eve, additional, Ondo, Ian, additional, Pérez-Escobar, Oscar A., additional, Pironon, Samuel, additional, Richardson, James E., additional, Russell, David, additional, Silvestro, Daniele, additional, Wright, Colin W., additional, and Howes, Melanie-Jayne R., additional

Published
2023
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12. rWCVP: a companion R package for the World Checklist of Vascular Plants.

Author

Brown, Matilda J. M., Walker, Barnaby E., Black, Nicholas, Govaerts, Rafaël H. A., Ondo, Ian, Turner, Robert, and Nic Lughadha, Eimear

Subjects
VASCULAR plants, PLANT diversity, BOTANY, PHYTOGEOGRAPHY
Abstract

Summary: The World Checklist of Vascular Plants (WCVP) is an extremely valuable resource that is being used to address many fundamental and applied questions in plant science, conservation, ecology and evolution. However, databases of this size require data manipulation skills that pose a barrier to many potential users. Here, we present rWCVP, an open‐source R package that aims to facilitate the use of the WCVP by providing clear, intuitive functions to execute many common tasks. These functions include taxonomic name reconciliation, geospatial integration, mapping and generation of multiple different summaries of the WCVP in both data and report format. We have included extensive documentation and tutorials, providing step‐by‐step guides that are accessible even to users with minimal programming experience. rWCVP is available on cran and GitHub. This article is part of the Special Collection 'Global plant diversity and distribution'. See https://www.newphytologist.org/global-plant-diversity for more details. [ABSTRACT FROM AUTHOR]

Published
2023
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13. ENM2020 : A free online course and set of resources on modeling species niches and distributions

Author

Peterson, A. Townsend, Aiello-Lammens, Matthew E., Amatulli, Giuseppe, Anderson, Robert P., Cobos, Marlon E., Diniz-Filho, Jose Alexandre F., Escobar, Luis E., Feng, Xiao, Franklin, Janet, Gadelha, Luiz M. R., Jr., Georges, D., Gueguen, M., Gueta, Tomer, Ingenloff, Kate, Jarvie, Scott, Jimenez, Laura, Karger, Dirk N., Kass, Jamie M., Kearney, Michael R., Loyola, Rafael, Machado-Stredel, Fernando, Martinez-Meyer, Enrique, Merow, Cory, Mondelli, Maria Luiza, Mortara, Sara Ribeiro, Muscarella, Robert, Myers, Corinne E., Naimi, Babak, Noesgaard, Daniel, Ondo, Ian, Osorio-Olvera, Luis, Owens, Hannah L., Pearson, Richard, Pinilla-Buitrago, Gonzalo E., Sanchez-Tapia, Andrea, Saupe, Erin E., Thuiller, Wilfried, Varela, Sara, Warren, Dan L., Wieczorek, John, Yates, Katherine, Zhu, Gengping, Zuquim, Gabriela, Zurell, Damaris, Peterson, A. Townsend, Aiello-Lammens, Matthew E., Amatulli, Giuseppe, Anderson, Robert P., Cobos, Marlon E., Diniz-Filho, Jose Alexandre F., Escobar, Luis E., Feng, Xiao, Franklin, Janet, Gadelha, Luiz M. R., Jr., Georges, D., Gueguen, M., Gueta, Tomer, Ingenloff, Kate, Jarvie, Scott, Jimenez, Laura, Karger, Dirk N., Kass, Jamie M., Kearney, Michael R., Loyola, Rafael, Machado-Stredel, Fernando, Martinez-Meyer, Enrique, Merow, Cory, Mondelli, Maria Luiza, Mortara, Sara Ribeiro, Muscarella, Robert, Myers, Corinne E., Naimi, Babak, Noesgaard, Daniel, Ondo, Ian, Osorio-Olvera, Luis, Owens, Hannah L., Pearson, Richard, Pinilla-Buitrago, Gonzalo E., Sanchez-Tapia, Andrea, Saupe, Erin E., Thuiller, Wilfried, Varela, Sara, Warren, Dan L., Wieczorek, John, Yates, Katherine, Zhu, Gengping, Zuquim, Gabriela, and Zurell, Damaris

Abstract

The field of distributional ecology has seen considerable recent attention, particularly surrounding the theory, protocols, and tools for Ecological Niche Modeling (ENM) or Species Distribution Modeling (SDM). Such analyses have grown steadily over the past two decades-including a maturation of relevant theory and key concepts-but methodological consensus has yet to be reached. In response, and following an online course taught in Spanish in 2018, we designed a comprehensive English-language course covering much of the underlying theory and methods currently applied in this broad field. Here, we summarize that course, ENM2020, and provide links by which resources produced for it can be accessed into the future. ENM2020 lasted 43 weeks, with presentations from 52 instructors, who engaged with >2500 participants globally through >14,000 hours of viewing and >90,000 views of instructional video and question-and-answer sessions. Each major topic was introduced by an "Overview" talk, followed by more detailed lectures on subtopics. The hierarchical and modular format of the course permits updates, corrections, or alternative viewpoints, and generally facilitates revision and reuse, including the use of only the Overview lectures for introductory courses. All course materials are free and openly accessible (CC-BY license) to ensure these resources remain available to all interested in distributional ecology.

Published
2022
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14. ENM2020:A FREE ONLINE COURSE AND SET OF RESOURCES ON MODELING SPECIES NICHES AND DISTRIBUTIONS

Author

Peterson, A. Townsend, Aiello-Lammens, Matthew E., Amatulli, Giuseppe, Anderson, Robert P., Cobos, Marlon E., Diniz-Filho, José Alexandre F., Escobar, Luis E., Feng, Xiao, Franklin, Janet, Gadelha, Luiz M. R., Georges, D., Guéguen, M., Gueta, Tomer, Ingenloff, Kate, Jarvie, Scott, Jimenez, Laura, Karger, Dirk N., Kass, Jamie M., Kearney, Michael R., Loyola, Rafael, Machado-Stredel, Fernando, Martinez-Meyer, Enrique, Merow, Cory, Mondelli, Maria Luiza, Mortara, Sara Ribeiro, Muscarella, Robert, Myers, Corinne E., Naimi, Babak, Noesgaard, Daniel, Ondo, Ian, Osorio-Olvera, Luis, Owens, Hannah L., Pearson, Richard, Pinilla-Buitrago, Gonzalo E., Sánchez-Tapia, Andrea, Saupe, Erin E., Thuiller, Wilfried, Varela, Sara, Warren, Dan L., Wieczorek, John, Yates, Katherine, Zhu, Gengping, Zuquim, Gabriela, Zurell, Damaris, Peterson, A. Townsend, Aiello-Lammens, Matthew E., Amatulli, Giuseppe, Anderson, Robert P., Cobos, Marlon E., Diniz-Filho, José Alexandre F., Escobar, Luis E., Feng, Xiao, Franklin, Janet, Gadelha, Luiz M. R., Georges, D., Guéguen, M., Gueta, Tomer, Ingenloff, Kate, Jarvie, Scott, Jimenez, Laura, Karger, Dirk N., Kass, Jamie M., Kearney, Michael R., Loyola, Rafael, Machado-Stredel, Fernando, Martinez-Meyer, Enrique, Merow, Cory, Mondelli, Maria Luiza, Mortara, Sara Ribeiro, Muscarella, Robert, Myers, Corinne E., Naimi, Babak, Noesgaard, Daniel, Ondo, Ian, Osorio-Olvera, Luis, Owens, Hannah L., Pearson, Richard, Pinilla-Buitrago, Gonzalo E., Sánchez-Tapia, Andrea, Saupe, Erin E., Thuiller, Wilfried, Varela, Sara, Warren, Dan L., Wieczorek, John, Yates, Katherine, Zhu, Gengping, Zuquim, Gabriela, and Zurell, Damaris

Abstract

The field of distributional ecology has seen considerable recent attention, particularly surrounding the theory, protocols, and tools for Ecological Niche Modeling (ENM) or Species Distribution Modeling (SDM). Such analyses have grown steadily over the past two decades-including a maturation of relevant theory and key concepts-but methodological consensus has yet to be reached. In response, and following an online course taught in Spanish in 2018, we designed a comprehensive English-language course covering much of the underlying theory and methods currently applied in this broad field. Here, we summarize that course, ENM2020, and provide links by which resources produced for it can be accessed into the future. ENM2020 lasted 43 weeks, with presentations from 52 instructors, who engaged with >2500 participants globally through >14,000 hours of viewing and >90,000 views of instructional video and question-and-answer sessions. Each major topic was introduced by an "Overview" talk, followed by more detailed lectures on subtopics. The hierarchical and modular format of the course permits updates, corrections, or alternative viewpoints, and generally facilitates revision and reuse, including the use of only the Overview lectures for introductory courses. All course materials are free and openly accessible (CC-BY license) to ensure these resources remain available to all interested in distributional ecology.

Published
2022

15. ENM2020: A Free Online Course and Set of Resources on Modeling Species' Niches and Distributions

Author

Peterson, A. Townsend, primary, Aiello-Lammens, Matthew, additional, Amatulli, Giuseppe, additional, Anderson, Robert, additional, Cobos, Marlon, additional, Diniz-Filho, José Alexandre, additional, Escobar, Luis, additional, Feng, Xiao, additional, Franklin, Janet, additional, Gadelha, Luiz, additional, Georges, Damien, additional, Guéguen, M, additional, Gueta, Tomer, additional, Ingenloff, Kate, additional, Jarvie, Scott, additional, Jiménez, Laura, additional, Karger, Dirk, additional, Kass, Jamie, additional, Kearney, Michael, additional, Loyola, Rafael, additional, Machado-Stredel, Fernando, additional, Martínez-Meyer, Enrique, additional, Merow, Cory, additional, Mondelli, Maria Luiza, additional, Mortara, Sara, additional, Muscarella, Robert, additional, Myers, Corinne, additional, Naimi, Babak, additional, Noesgaard, Daniel, additional, Ondo, Ian, additional, Osorio-Olvera, Luis, additional, Owens, Hannah, additional, Pearson, Richard, additional, Pinilla-Buitrago, Gonzalo, additional, Sánchez-Tapia, Andrea, additional, Saupe, Erin, additional, Thuiller, Wilfried, additional, Varela, Sara, additional, Warren, Dan, additional, Wieczorek, John, additional, Yates, Katherine, additional, Zhu, Gengping, additional, Zuquim, Gabriela, additional, and Zurell, Damaris, additional

Published
2022
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16. Pollen sterols are associated with phylogenetics and environment but not with pollinators

Author

Zu, Pengjuan, Koch, Hauke, Schwery, Orlando, Pirinon, Samuel, Philips, Charlotte, Ondo, Ian, Farrell, Iain W., Nes, W. David, Moore, Elynor, Wright, Geraldine A., Farman, Dudley I., and Stevenson, Philip C.

Subjects
S1, polycyclic compounds, food and beverages, lipids (amino acids, peptides, and proteins)
Abstract

SummaryPhytosterols are primary plant metabolites that have fundamental structural and regulatory functions. They are also essential nutrients for phytophagous insects, including pollinators, that cannot synthesize sterols. Despite the well-described composition and diversity in vegetative plant tissues, few studies have examined phytosterol diversity in pollen.We quantified 25 pollen phytosterols in 122 plant species (105 genera, 51 families) to determine their composition and diversity across plant taxa. We searched literature and databases for plant phylogeny, environmental conditions, and pollinator guilds of the species to examine the relationships with pollen sterols.24-methylenecholesterol, sitosterol and isofucosterol were the most common and abundant pollen sterols. We found phylogenetic clustering of twelve individual sterols, total sterol content and sterol diversity, and of sterol groupings that reflect their underlying biosynthesis pathway (24 carbon alkylation, ring B desaturation). Plants originating in tropical-like climates (higher mean annual temperature, lower temperature seasonality, higher precipitation in wettest quarter) were more likely to record higher pollen sterol content. However, pollen sterol composition and content showed no clear relationship with pollinator guilds.Our study is the first to show that pollen sterol diversity is phylogenetically clustered and that pollen sterol content may adapt to environmental conditions.

Published
2020
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17. Areas of global importance for conserving terrestrial biodiversity, carbon and water:[incl. correction]

Author

Jung, Martin, Arnell, Andy, de Lamo, Xavier, García-Rangel, Shaenandhoa, Lewis, Matthew, Mark, Jennifer, Merow, Cory, Miles, Lera, Ondo, Ian, Pironon, Samuel, Ravilious, Corinna, Rivers, Malin, Schepashenko, Dmitry, Tallowin, Oliver, van Soesbergen, Arnout, Govaerts, Rafaël, Boyle, Bradley L., Enquist, Brian J., Feng, Xiao, Gallagher, Rachael, Maitner, Brian, Meiri, Shai, Mulligan, Mark, Ofer, Gali, Roll, Uri, Hanson, Jeffrey O., Jetz, Walter, Di Marco, Moreno, McGowan, Jennifer, Rinnan, D. Scott, Sachs, Jeffrey D., Lesiv, Myroslava, Adams, Vanessa M., Andrew, Samuel C., Burger, Joseph R., Hannah, Lee, Marquet, Pablo A., McCarthy, James K., Morueta-Holme, Naia, Newman, Erica A., Park, Daniel S., Roehrdanz, Patrick R., Svenning, Jens-Christian, Violle, Cyrille, Wieringa, Jan J., Wynne, Graham, Fritz, Steffen, Strassburg, Bernardo B. N., Obersteiner, Michael, Kapos, Valerie, Burgess, Neil, Schmidt-Traub, Guido, Visconti, Piero, Jung, Martin, Arnell, Andy, de Lamo, Xavier, García-Rangel, Shaenandhoa, Lewis, Matthew, Mark, Jennifer, Merow, Cory, Miles, Lera, Ondo, Ian, Pironon, Samuel, Ravilious, Corinna, Rivers, Malin, Schepashenko, Dmitry, Tallowin, Oliver, van Soesbergen, Arnout, Govaerts, Rafaël, Boyle, Bradley L., Enquist, Brian J., Feng, Xiao, Gallagher, Rachael, Maitner, Brian, Meiri, Shai, Mulligan, Mark, Ofer, Gali, Roll, Uri, Hanson, Jeffrey O., Jetz, Walter, Di Marco, Moreno, McGowan, Jennifer, Rinnan, D. Scott, Sachs, Jeffrey D., Lesiv, Myroslava, Adams, Vanessa M., Andrew, Samuel C., Burger, Joseph R., Hannah, Lee, Marquet, Pablo A., McCarthy, James K., Morueta-Holme, Naia, Newman, Erica A., Park, Daniel S., Roehrdanz, Patrick R., Svenning, Jens-Christian, Violle, Cyrille, Wieringa, Jan J., Wynne, Graham, Fritz, Steffen, Strassburg, Bernardo B. N., Obersteiner, Michael, Kapos, Valerie, Burgess, Neil, Schmidt-Traub, Guido, and Visconti, Piero

Abstract

To meet the ambitious objectives of biodiversity and climate conventions, the international community requires clarity on how these objectives can be operationalized spatially and how multiple targets can be pursued concurrently. To support goal setting and the implementation of international strategies and action plans, spatial guidance is needed to identify which land areas have the potential to generate the greatest synergies between conserving biodiversity and nature’s contributions to people. Here we present results from a joint optimization that minimizes the number of threatened species, maximizes carbon retention and water quality regulation, and ranks terrestrial conservation priorities globally. We found that selecting the top-ranked 30% and 50% of terrestrial land area would conserve respectively 60.7% and 85.3% of the estimated total carbon stock and 66% and 89.8% of all clean water, in addition to meeting conservation targets for 57.9% and 79% of all species considered. Our data and prioritization further suggest that adequately conserving all species considered (vertebrates and plants) would require giving conservation attention to ~70% of the terrestrial land surface. If priority was given to biodiversity only, managing 30% of optimally located land area for conservation may be sufficient to meet conservation targets for 81.3% of the terrestrial plant and vertebrate species considered. Our results provide a global assessment of where land could be optimally managed for conservation. We discuss how such a spatial prioritization framework can support the implementation of the biodiversity and climate conventions.

Published
2021

19. Plant Power: Opportunities and challenges for meeting sustainable energy needs from the plant and fungal kingdoms

Author

Grace, Olwen M., primary, Lovett, Jon C., additional, Gore, Charles J. N., additional, Moat, Justin, additional, Ondo, Ian, additional, Pironon, Samuel, additional, Langat, Moses K., additional, Pérez‐Escobar, Oscar A., additional, Ross, Andrew, additional, Suzan Abbo, Mary, additional, Shrestha, Krishna K., additional, Gowda, Balakrishna, additional, Farrar, Kerrie, additional, Adams, Jessica, additional, Cámara‐Leret, Rodrigo, additional, Diazgranados, Mauricio, additional, Ulian, Tiziana, additional, Sagala, Saut, additional, Rianawati, Elisabeth, additional, Hazra, Amit, additional, Masera, Omar R., additional, Antonelli, Alexandre, additional, and Wilkin, Paul, additional

Published
2020
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20. Unlocking plant resources to support food security and promote sustainable agriculture

Author

Ulian, Tiziana, primary, Diazgranados, Mauricio, additional, Pironon, Samuel, additional, Padulosi, Stefano, additional, Liu, Udayangani, additional, Davies, Lee, additional, Howes, Melanie‐Jayne R., additional, Borrell, James S., additional, Ondo, Ian, additional, Pérez‐Escobar, Oscar A., additional, Sharrock, Suzanne, additional, Ryan, Philippa, additional, Hunter, Danny, additional, Lee, Mark A., additional, Barstow, Charles, additional, Łuczaj, Łukasz, additional, Pieroni, Andrea, additional, Cámara‐Leret, Rodrigo, additional, Noorani, Arshiya, additional, Mba, Chikelu, additional, Nono Womdim, Rémi, additional, Muminjanov, Hafiz, additional, Antonelli, Alexandre, additional, Pritchard, Hugh W., additional, and Mattana, Efisio, additional

Published
2020
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21. Toward Unifying Global Hotspots of Wild and Domesticated Biodiversity

Author

Pironon, Samuel, primary, Borrell, James S., additional, Ondo, Ian, additional, Douglas, Ruben, additional, Phillips, Charlotte, additional, Khoury, Colin K., additional, Kantar, Michael B., additional, Fumia, Nathan, additional, Soto Gomez, Marybel, additional, Viruel, Juan, additional, Govaerts, Rafael, additional, Forest, Félix, additional, and Antonelli, Alexandre, additional

Published
2020
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23. Areas of global importance for terrestrial biodiversity, carbon, and water

Author

Jung, Martin, primary, Arnell, Andy, additional, de Lamo, Xavier, additional, García-Rangel, Shaenandhoa, additional, Lewis, Matthew, additional, Mark, Jennifer, additional, Merow, Cory, additional, Miles, Lera, additional, Ondo, Ian, additional, Pironon, Samuel, additional, Ravilious, Corinna, additional, Rivers, Malin, additional, Schepashenko, Dmitry, additional, Tallowin, Oliver, additional, van Soesbergen, Arnout, additional, Govaerts, Rafaël, additional, Boyle, Bradley L., additional, Enquist, Brian J., additional, Feng, Xiao, additional, Gallagher, Rachael V., additional, Maitner, Brian, additional, Meiri, Shai, additional, Mulligan, Mark, additional, Ofer, Gali, additional, Hanson, Jeffrey O., additional, Jetz, Walter, additional, Di Marco, Moreno, additional, McGowan, Jennifer, additional, Rinnan, D. Scott, additional, Sachs, Jeffrey D., additional, Lesiv, Myroslava, additional, Adams, Vanessa, additional, Andrew, Samuel C., additional, Burger, Joseph R., additional, Hannah, Lee, additional, Marquet, Pablo A., additional, McCarthy, James K., additional, Morueta-Holme, Naia, additional, Newman, Erica A., additional, Park, Daniel S., additional, Roehrdanz, Patrick R., additional, Svenning, Jens-Christian, additional, Violle, Cyrille, additional, Wieringa, Jan J., additional, Wynne, Graham, additional, Fritz, Steffen, additional, Strassburg, Bernardo B.N., additional, Obersteiner, Michael, additional, Kapos, Valerie, additional, Burgess, Neil, additional, Schmidt-Traub, Guido, additional, and Visconti, Piero, additional

Published
2020
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24. Plant Power: Opportunities and challenges for meeting sustainable energy needs from the plant and fungal kingdoms

Author

Grace, Olwen M; https://orcid.org/0000-0003-1431-2761, Lovett, Jon C, Gore, Charles J N, Moat, Justin; https://orcid.org/0000-0002-5513-3615, Ondo, Ian, Pironon, Samuel, Langat, Moses K, Pérez‐Escobar, Oscar A, Ross, Andrew, Suzan Abbo, Mary, Shrestha, Krishna K, Gowda, Balakrishna, Farrar, Kerrie, Adams, Jessica, Cámara-Leret, Rodrigo; https://orcid.org/0000-0001-7705-0602, Diazgranados, Mauricio, Ulian, Tiziana; https://orcid.org/0000-0001-8298-256X, Sagala, Saut, Rianawati, Elisabeth, Hazra, Amit, Masera, Omar R, Antonelli, Alexandre, Wilkin, Paul, Grace, Olwen M; https://orcid.org/0000-0003-1431-2761, Lovett, Jon C, Gore, Charles J N, Moat, Justin; https://orcid.org/0000-0002-5513-3615, Ondo, Ian, Pironon, Samuel, Langat, Moses K, Pérez‐Escobar, Oscar A, Ross, Andrew, Suzan Abbo, Mary, Shrestha, Krishna K, Gowda, Balakrishna, Farrar, Kerrie, Adams, Jessica, Cámara-Leret, Rodrigo; https://orcid.org/0000-0001-7705-0602, Diazgranados, Mauricio, Ulian, Tiziana; https://orcid.org/0000-0001-8298-256X, Sagala, Saut, Rianawati, Elisabeth, Hazra, Amit, Masera, Omar R, Antonelli, Alexandre, and Wilkin, Paul

Abstract

Bioenergy is a major component of the global transition to renewable energy technologies. The plant and fungal kingdoms offer great potential but remain mostly untapped. Their increased use could contribute to the renewable energy transition and addressing the United Nations Sustainable Development Goal 7 “Ensure access to affordable, reliable, sustainable and modern energy for all.” Current research focuses on species cultivated at scale in temperate regions, overlooking the wealth of potential new sources of small‐scale energy where they are most urgently needed. A shift towards diversified, accessible bioenergy technologies will help to mitigate and adapt to the threats of climate change, decrease energy poverty, improve human health by reducing indoor pollution, increase energy resilience of communities, and decrease greenhouse gas emissions from fossil fuels.

Published
2020

25. Unlocking plant resources to support food security and promote sustainable agriculture

Author

Ulian, Tiziana; https://orcid.org/0000-0001-8298-256X, Diazgranados, Mauricio, Pironon, Samuel, Padulosi, Stefano, Liu, Udayangani, Davies, Lee, Howes, Melanie‐Jayne R; https://orcid.org/0000-0003-1065-6209, Borrell, James S; https://orcid.org/0000-0001-9902-7681, Ondo, Ian, Pérez‐Escobar, Oscar A, Sharrock, Suzanne, Ryan, Philippa, Hunter, Danny, Lee, Mark A; https://orcid.org/0000-0001-8060-2762, Barstow, Charles, Łuczaj, Łukasz, Pieroni, Andrea, Cámara-Leret, Rodrigo; https://orcid.org/0000-0001-7705-0602, Noorani, Arshiya, Mba, Chikelu, Nono Womdim, Rémi, Muminjanov, Hafiz, Antonelli, Alexandre; https://orcid.org/0000-0003-1842-9297, Pritchard, Hugh W; https://orcid.org/0000-0002-2487-6475, Mattana, Efisio; https://orcid.org/0000-0001-6235-4603, Ulian, Tiziana; https://orcid.org/0000-0001-8298-256X, Diazgranados, Mauricio, Pironon, Samuel, Padulosi, Stefano, Liu, Udayangani, Davies, Lee, Howes, Melanie‐Jayne R; https://orcid.org/0000-0003-1065-6209, Borrell, James S; https://orcid.org/0000-0001-9902-7681, Ondo, Ian, Pérez‐Escobar, Oscar A, Sharrock, Suzanne, Ryan, Philippa, Hunter, Danny, Lee, Mark A; https://orcid.org/0000-0001-8060-2762, Barstow, Charles, Łuczaj, Łukasz, Pieroni, Andrea, Cámara-Leret, Rodrigo; https://orcid.org/0000-0001-7705-0602, Noorani, Arshiya, Mba, Chikelu, Nono Womdim, Rémi, Muminjanov, Hafiz, Antonelli, Alexandre; https://orcid.org/0000-0003-1842-9297, Pritchard, Hugh W; https://orcid.org/0000-0002-2487-6475, and Mattana, Efisio; https://orcid.org/0000-0001-6235-4603

Abstract

As the world's population is increasing, humanity is facing both shortages (hunger) and excesses (obesity) of calorie and nutrient intakes. Biodiversity is fundamental to addressing this double challenge, which involves a far better understanding of the global state of food resources. Current estimates suggest that there are at least 7,039 edible plant species, in a broad taxonomic sense, which includes 7,014 vascular plants. This is in striking contrast to the small handful of food crops that provide the majority of humanity's calorie and nutrient intake. Most of these 7,039 edible species have additional uses, the most common being medicines (70%), materials (59%), and environmental uses (40%). Species of major food crops display centers of diversity, as previously proposed, while the rest of edible plants follow latitudinal distribution patterns similarly to the total plant diversity, with higher species richness at lower latitudes. The International Union for Conservation of Nature Red List includes global conservation assessments for at least 30% of edible plants, with ca. 86% of them conserved ex situ. However, at least 11% of those species recorded are threatened. We highlight multipurpose NUS of plants from different regions of the world, which could be key for a more resilient, sustainable, biodiverse, and community participation‐driven new “green revolution.” Furthermore, we explore how fungi could diversify and increase the nutritional value of our diets. NUS, along with the wealth of traditional knowledge about their uses and practices, offer a largely untapped resource to support food security and sustainable agriculture. However, for these natural resources to be unlocked, enhanced collaboration among stakeholders is vital.

Published
2020

29. Achieving higher standards in species distribution modeling by leveraging the diversity of available software.

Author

Kass, Jamie M., Smith, Adam B., Warren, Dan L., Vignali, Sergio, Schmitt, Sylvain, Aiello‐Lammens, Matthew E., Arlé, Eduardo, Márcia Barbosa, Ana, Broennimann, Olivier, Cobos, Marlon E., Guéguen, Maya, Guisan, Antoine, Merow, Cory, Naimi, Babak, Nobis, Michael P., Ondo, Ian, Osorio-Olvera, Luis, Owens, Hannah L., Pinilla‐Buitrago, Gonzalo E., and Sánchez-Tapia, Andrea

Subjects
*SPECIES distribution, *ECOLOGICAL models, *COMPUTER software development, *RESEARCH personnel, *METADATA
Abstract

The increasing online availability of biodiversity data and advances in ecological modeling have led to a proliferation of open‐source modeling tools. In particular, R packages for species distribution modeling continue to multiply without guidance on how they can be employed together, resulting in high fidelity of researchers to one or several packages. Here, we assess the wide variety of software for species distribution models (SDMs) and highlight how packages can work together to diversify and expand analyses in each step of a modeling workflow. We also introduce the new R package ‘sdmverse' to catalog metadata for packages, cluster them based on their methodological functions, and visualize their relationships. To demonstrate how pluralism of software use helps improve SDM workflows, we provide three extensive and fully documented analyses that utilize tools for modeling and visualization from multiple packages, then score these tutorials according to recent methodological standards. We end by identifying gaps in the capabilities of current tools and highlighting outstanding challenges in the development of software for SDMs. [ABSTRACT FROM AUTHOR]

Published
2024
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