Data integration enables global biodiversity synthesis

Latent dirichlet allocation

(2003) · Journal of Machine Learning Research · doi:10.5555/944919.944937 · Cited by 32,337

Very high resolution interpolated climate surfaces for global land areas

Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., & Jarvis, A. (2005) · International Journal of Climatology · doi:10.1002/joc.1276 · Cited by 19,860

The FAIR Guiding Principles for scientific data management and stewardship

Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.18 · Cited by 18,423

Maximum entropy modeling of species geographic distributions

Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006) · Ecological Modelling · doi:10.1016/j.ecolmodel.2005.03.026 · Cited by 15,396

Latent Dirichlet Allocation

Blei, D. M., Ng, A. Y., & Jordan, M. I. (2002) · The MIT Press eBooks · doi:10.7551/mitpress/1120.003.0082 · Cited by 12,683

Species Distribution Models: Ecological Explanation and Prediction Across Space and Time

Elith, J., & Leathwick, J. R. (2009) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev.ecolsys.110308.120159 · Cited by 6,707

Probabilistic topic models

Blei, D. M. (2012) · Communications of the ACM · doi:10.1145/2133806.2133826 · Cited by 5,516

Accelerated modern human–induced species losses: Entering the sixth mass extinction

Ceballos, G., Ehrlich, P. R., Barnosky, A. D., García, A., Pringle, R. M., & Palmer, T. M. (2015) · Science Advances · doi:10.1126/sciadv.1400253 · Cited by 4,220

Promoting an open research culture

Nosek, B. A., Alter, G., Banks, G. C., Borsboom, D., Bowman, S. D., Breckler, S. J., Buck, S., Chambers, C. D., Chin, G., Christensen, G., et al. (2015) · Science · doi:10.1126/science.aab2374 · Cited by 2,708

TRY plant trait database – enhanced coverage and open access

Kattge, J., Bönisch, G., Díaz, S. M., Lavorel, S., Prentice, I. C., Leadley, P., Tautenhahn, S., Werner, G. D. A., Aakala, T., Abedi, M., et al. (2019) · Global Change Biology · doi:10.1111/gcb.14904 · Cited by 2,210

Digital accessible knowledge: Mobilizing legacy data and the future of taxonomic publishing

Fawcett, S., Agosti, D., Cole, S. R., & Wright, D. F. (2022) · Bulletin of the Society of Systematic Biologists · doi:10.18061/bssb.v1i1.8296 · Cited by 15

How many mammal species are there now? Updates and trends in taxonomic, nomenclatural, and geographic knowledge.Preprint

Burgin, C., Zijlstra, J. S., Becker, M. A., Handika, H., Alston, J. M., Widness, J., Liphardt, S. W., Huckaby, D. G., & Upham, N. S. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.27.640393 · Cited by 16

OpenBioMaps – self-hosted data management platform and distributed service for biodiversity related data

Bán, M., Bóné, G. M., Bérces, S., Barta, Z., Kovács, I. A., Ecsedi, K., & Sipos, K. (2022) · Earth Science Informatics · doi:10.1007/s12145-022-00818-3 · Cited by 14

Disentangling the veil line for Brazilian biodiversity: An overview from two long-term research programs reveals huge gaps in ecological data reporting

Guimarães, A. F., Querido, L. C. D. A., Rocha, T., Rodrigues, D. D. J., Viana, P. L., Bergallo, H. G., Fernandes, G. W., Toma, T. S. P., Streit, H., Overbeck, G. E., et al. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.174880 · Cited by 14

Does the use of unusual combinations of datasets contribute to greater scientific impact?

Yu, Y., & Romero, D. M. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2402802121 · Cited by 13

The Specimen Data Refinery: A Canonical Workflow Framework and FAIR Digital Object Approach to Speeding up Digital Mobilisation of Natural History Collections

Hardisty, A., Brack, P., Goble, C., Livermore, L., Scott, B., Groom, Q., Owen, S., & Soiland‐Reyes, S. (2022) · Data Intelligence · doi:10.1162/dint_a_00134 · Cited by 13

Species misidentification affects biodiversity metrics: Dealing with this issue using the new R package naturaList

Rodrigues, A. V., Nakamura, G., Staggemeier, V. G., & Duarte, L. (2022) · Ecological Informatics · doi:10.1016/j.ecoinf.2022.101625 · Cited by 13

Leaping Forward or Crawling Backward? Efforts and Biases in Amphibian and Reptile Research on a Megadiverse Faunal Region in the Philippines

Abdullah, S., Cruz, K. C. D., Casim, L. F., Agduma, A. R., & Tanalgo, K. C. (2023) · Conservation · doi:10.3390/conservation3030025 · Cited by 13

Biodiversity at the global scale: the synthesis continues

Folk, R. A., & Siniscalchi, C. M. (2021) · American Journal of Botany · doi:10.1002/ajb2.1694 · Cited by 14

Global sampling decline erodes science potential of natural history collections

Forbes, O., Young, A. G., & Thrall, P. H. (2025) · Nature Communications · doi:10.1038/s41467-025-64303-3 · Cited by 12

Bridging global knowledge gaps in biodiversity databases: a comprehensive data synthesis on tree diversity of India

Mugal, M. A., Wani, S. A., Dar, F. A., Islam, T., Gulzar, R., Malik, A. H., Reddy, C. S., & Khuroo, A. A. (2023) · Biodiversity and Conservation · doi:10.1007/s10531-023-02659-y · Cited by 14

Tracking spoor and field signs as a zoological research method

Dorfman, A., Subach, A., & Scharf, I. (2023) · Animal Behaviour · doi:10.1016/j.anbehav.2023.07.006 · Cited by 12

Insight into best practices: a review of long-term monitoring of the rocky intertidal zone of the Northeast Pacific Coast

Kaplanis, N. J. (2023) · Frontiers in Marine Science · doi:10.3389/fmars.2023.1182562 · Cited by 12

Developing a predictive science of the biosphere requires the integration of scientific cultures

Enquist, B. J., Kempes, C. P., & West, G. B. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2209196121 · Cited by 13

Spiny but photogenic: Amateur sightings complement herbarium specimens to reveal the bioregions of cacti

Calvente, A., da Silva, A. P. A., Edler, D., Carvalho, F. A., Fantinati, M. R., Zizka, A., & Antonelli, A. (2023) · American Journal of Botany · doi:10.1002/ajb2.16235 · Cited by 12

Botanical Collection Patterns and Conservation Categories of the Most Traded Timber Species from the Ecuadorian Amazon: The Role of Protected Areas

López-Tobar, R., Herrera-Feijoo, R. J., Mateo, R. G., García-Robredo, F., & Torres, B. (2023) · Plants · doi:10.3390/plants12183327 · Cited by 12

Globally aggregated biodiversity data impact predictive and descriptive research

Steinke, D., Gemeinholzer, B., Martínez‐Meyer, E., Noesgaard, D., Young, A., & Schigel, D. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2519119122 · Cited by 11

Revealing large‐scale parasite ranges: An integrated spatiotemporal database and multisource analysis of the winter tick

Chenery, E. S., Harms, N. J., Fenton, H. M. A., Mandrak, N. E., & Molnár, P. K. (2023) · Ecosphere · doi:10.1002/ecs2.4376 · Cited by 10

An Integrated GIS-Based Reinforcement Learning Approach for Efficient Prediction of Disease Transmission in Aquaculture

Karras, A., Karras, C., Sioutas, S., Makris, C. H., Katselis, G. N., Hatzilygeroudis, I., Theodorou, J. Α., & Tsolis, D. K. (2023) · Information · doi:10.3390/info14110583 · Cited by 11

Macro-moth (Lepidoptera) Diversity of a Newly Shaped Ecological Corridor and the Surrounding Forest Area in the Western Italian Alps

Piccini, I., Depetris, M., Paradiso, F., Cochis, F., Audisio, M., Artioli, P., smargiassi, S., Bonifacino, M., Giuliano, D., Cava, S. L., et al. (2023) · Diversity · doi:10.3390/d15010095 · Cited by 11

The IHI Rochester Report 2022 on Healthcare Informatics Research: Resuming After the CoViD-19

Combi, C., Facelli, J. C., Haddawy, P., Holmes, J. H., Koch, S., Liu, H., Meyer, J., Mor Peleg, B., Pozzi, G., Štiglic, G., et al. (2023) · Journal of Healthcare Informatics Research · doi:10.1007/s41666-023-00126-5 · Cited by 11

Bridging Biodiversity and Health: The Global Biodiversity Information Facility’s initiative on open data on vectors of human diseases

Shimabukuro, P. H. F., Groom, Q., Fouque, F., Campbell, L. P., Chareonviriyaphap, T., Etang, J., Manguin, S., Sinka, M. E., Schigel, D., & Ingenloff, K. (2024) · Gigabyte · doi:10.46471/gigabyte.117 · Cited by 11

A taxonomic-based joint species distribution model for presence-only data

Molgora, J. M. E., Sedda, L., Diggle, P. J., & Atkinson, P. M. (2022) · Journal of The Royal Society Interface · doi:10.1098/rsif.2021.0681 · Cited by 10

Assessing citizen science data quality for bird monitoring in the Iberian Peninsula

Prenda, J., Domínguez-Olmedo, J. L., López‐Lozano, E., Juan, R. F. D. V. S., & Negro, J. J. (2024) · Scientific Reports · doi:10.1038/s41598-024-70827-3 · Cited by 10

Citizen science-based jellyfish observation initiatives in the Mediterranean Sea

Edelist, D., Canepa, A., Azzopardi, J., Ballesteros, A., Bellido, J., Boero, F., Bordehore, C., Deidun, A., Fonfría, E. S., Gauci, A., et al. (2025) · Hydrobiologia · doi:10.1007/s10750-025-05852-y · Cited by 10

Digitized collections elucidate invasion history and patterns of awn polymorphism in Microstegium vimineum

Barrett, C. F., Huebner, C. D., Bender, Z. A., Budinsky, T., Corbett, C. W., Latvis, M., McKain, M. R., Motley, M., Skibicki, S. V., Thixton-Nolan, H. L., et al. (2022) · American Journal of Botany · doi:10.1002/ajb2.1852 · Cited by 10

From species descriptions to diversity patterns: the validation of taxonomic data as a keystone for ant diversity studies reproducibility and accuracy

Feitosa, R., Silva, T. S. R., Camacho, G. P., Ulysséa, M., Ladino, N., Oliveira, A. M., de Albuquerque, E. Z., Ribas, C., Schmidt, F. A., Morini, M., et al. (2023) · Royal Society Open Science · doi:10.1098/rsos.221170 · Cited by 9

Community scientists produce open data for understanding insects and climate change

Prudic, K. L., Zylstra, E. R., Melkonoff, N. A., Laura, R., & Hutchinson, R. (2023) · Current Opinion in Insect Science · doi:10.1016/j.cois.2023.101081 · Cited by 10

Effects of ecological control line on habitat connectivity: A case study of Shenzhen, China

Zhang, S., Zhang, Z., Wang, J., Zhang, Y., Wu, J., & Zhang, X. (2024) · Ecological Indicators · doi:10.1016/j.ecolind.2024.112583 · Cited by 9

The Invisible Species: Big Data Unveil Coverage Gaps in the Atlantic Forest Hotspot

Trindade, W. C. F., & Marques, M. C. M. (2024) · Diversity and Distributions · doi:10.1111/ddi.13931 · Cited by 9

Open and FAIR data sharing are building blocks to bolster biodiversity conservation in Southeast Asia

Tanalgo, K. C. (2025) · Biological Conservation · doi:10.1016/j.biocon.2025.111192 · Cited by 9

Investigating the Spatial Biases and Temporal Trends in Insect Pollinator Occurrence Data on GBIF

Rahimi, E., & Jung, C. (2025) · Insects · doi:10.3390/insects16080769 · Cited by 9

Synergistic Impacts of Climate Change and Wildfires on Agricultural Sustainability—A Greek Case Study

Kalogiannidis, S., Kalfas, D., Paschalidou, M., & Chatzitheodoridis, F. (2024) · Climate · doi:10.3390/cli12090144 · Cited by 9

Modelling the distribution of rare invertebrates by correcting class imbalance and spatial bias

Gaul, W., Sadykova, D. L., White, H. J., León‐Sánchez, L., Caplat, P., Emmerson, M., & Yearsley, J. M. (2022) · Diversity and Distributions · doi:10.1111/ddi.13619 · Cited by 8

Lack of country-wide systematic herpetology collections in Portugal jeopardizes future research and conservation

Santos, B. S., Marques, M. P., & Ceríaco, L. M. P. (2024) · Anais da Academia Brasileira de Ciências · doi:10.1590/0001-3765202420230622 · Cited by 8

The implications of estimating rarity in Brazilian reptiles from GBIF data based on contributions from citizen science versus research institutions

Forti, L. R., da Silva, J. L. C., Ferreira, E. D. A., & Szabo, J. K. (2024) · Integrative Conservation · doi:10.1002/inc3.53 · Cited by 8

Mobilisation of Data From Natural History Collections Can Increase the Quality and Coverage of Biodiversity Information

Blades, B., Ronquillo, C., & Hortal, J. (2025) · Ecology and Evolution · doi:10.1002/ece3.71139 · Cited by 8

Unified and pluralistic ideals for data sharing and reuse in biodiversity

Sterner, B., Elliott, S., Gilbert, E., & Franz, N. M. (2023) · Database · doi:10.1093/database/baad048 · Cited by 9

Prioritising challenges and actions for freshwater conservation in a tropical biodiversity hotspot

Zieritz, A., Gibbins, C. N., Cai, Y., Diba, F., Gan, L. X., Lopes‐Lima, M., Mendoza, J. C. E., Morse, J. C., Ng, T. H., Toh, E. X. P., et al. (2024) · Biological Conservation · doi:10.1016/j.biocon.2024.110839 · Cited by 15

The next stage of biodiversity informatics: community-driven synthesis and integration of biodiversity databases

Feng, X., Smith, A. B., Boyle, B. L., Chen, X., Enquist, B. J., Gallagher, R. V., Hammock, J., Ho, J. C., Lien, A. M., Maitner, B., et al. (2025) · BioScience · doi:10.1093/biosci/biaf112 · Cited by 9

Nine changes needed to deliver a radical transformation in biodiversity measurement

Sutherland, W. J., Burgess, N. D., Edwards, S. V., Jones, J. P. G., Soltis, P. S., Tilman, D. G., Allen, J. M., Andrianandrasana, H. T., Armour, C. J., August, T., et al. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2519345123 · Cited by 11

Disentangling the Drivers of the Sampling Bias of Freshwater Fish across Europe

Rodríguez‐Rey, M., & Grenouillet, G. (2022) · Fishes · doi:10.3390/fishes7060383 · Cited by 7

A cross-regional analysis of red-backed shrike responses to agri-environmental schemes in Europe

Roilo, S., Spake, R., Bullock, J. M., & Cord, A. F. (2024) · Environmental Research Letters · doi:10.1088/1748-9326/ad264a · Cited by 7

intSDM: An R Package for Building a Reproducible Workflow for the Field of Integrated Species Distribution Models

Mostert, P. S., Bjørkås, R., Bruls, A. J. H. M., Koch, W., Martin, E. C., & Perrin, S. W. (2025) · Ecology and Evolution · doi:10.1002/ece3.71029 · Cited by 7

Sharing FAIR monitoring program data improves discoverability and reuse

Bayer, J. M., Scully, R. A., Dlabola, E. K., Courtwright, J. L., Hirsch, C. L., Hockman-Wert, D., Miller, S. W., Roper, B. B., Saunders, W. C., & Snyder, M. N. (2023) · Environmental Monitoring and Assessment · doi:10.1007/s10661-023-11788-4 · Cited by 7

The I-ADOPT Interoperability Framework for FAIRer data descriptions of biodiversityPreprint

Magagna, B., Rosati, I., Stoica, M. A., Schindler, S., Moncoiffé, G., Devaraju, A., Peterseil, J., & Huber, R. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2107.06547 · Cited by 7

Spatial and temporal representation of marine fish occurrences available online

Pizarro, V., Castillo, A. G., Piñones, A., & Samaniego, H. (2023) · Ecological Informatics · doi:10.1016/j.ecoinf.2023.102403 · Cited by 6

Emerging uses of artificial intelligence in deep time biodiversity research

Silvestro, D., & Pimiento, C. (2025) · Nature Reviews Biodiversity · doi:10.1038/s44358-025-00075-4 · Cited by 15

Knowledge shortfalls and research priorities for Philippine mangroves in the fast-changing world

Agduma, A. R., Tanalgo, K. C., Millondaga, A., Respicio, J. M. V., Cruz, K. C. D., Lidasan, A. K., Terante, R. J., & Cao, K. (2024) · Ocean & Coastal Management · doi:10.1016/j.ocecoaman.2024.107211 · Cited by 6

Machine learning approach for Studying the multifunctionality of soil against global climate changes

Hu, X., Xie, Y., Zhou, Q., & Li, M. (2024) · Ecological Indicators · doi:10.1016/j.ecolind.2024.112772 · Cited by 8

Using Morphological Characters to Support Decision-Making in Nature-Based Solutions: A Shortcut to Promote Urban Plant Biodiversity

da Silva-Luz, C. L., Reale, R., Candido, L. F., ZAPPI, D. C., & Locosselli, G. M. (2024) · Urban Science · doi:10.3390/urbansci8040233 · Cited by 6

Integrating long-tail data: How far are we?

Vanderbilt, K., & Gries, C. (2021) · Ecological Informatics · doi:10.1016/j.ecoinf.2021.101372 · Cited by 6

The role of systematics for understanding ecosystem functions: Proceedings of the Zoologica Scripta Symposium, Oslo, Norway, 25 August 2022

Bachmann, L., Beermann, J., Brey, T., de Boer, H., Dannheim, J., Edvardsen, B., Ericson, P. G. P., Holston, K. C., Johansson, V. A., Kloss, P., et al. (2023) · Zoologica Scripta · doi:10.1111/zsc.12593 · Cited by 8

Assessing the potential impact of climate change on Kobus megaceros in South Sudan: a combination of geostatistical and species distribution modelling

Alier, G., Idohou, R., Hounsou‐Dindin, G., & Kakaï, R. G. (2023) · Modeling Earth Systems and Environment · doi:10.1007/s40808-023-01889-x · Cited by 6

Enhancing georeferenced biodiversity inventories: automated information extraction from literature records reveal the gaps

Kopperud, B. T., Lidgard, S., & Liow, L. H. (2022) · PeerJ · doi:10.7717/peerj.13921 · Cited by 6

Scaling debt for nature swaps – which nature, how much debt and who pays?Preprint

Nedopil, C., Yue, M., & Hughes, A. C. (2022) · Research Square · doi:10.21203/rs.3.rs-1358929/v1 · Cited by 6

A standard protocol for harvesting biodiversity data from FacebookPreprint

Chowdhury, S., Ahmed, S., Alam, S., Callaghan, C. T., Das, P., Marco, M. D., Minin, E. D., Jarić, I., Labi, M. M., Rokonuzzaman, M., et al. (2023) · doi:10.32942/x2xs4f · Cited by 6

Range‐wide study in a sexually polymorphic wild strawberry reveals climatic and soil associations of sex ratio, sexual dimorphism and sex chromosomes

Cullen, N., Richardson, E., Budinsky, T., Reeb, R. A., Mortimer, S. M. E., Aaron, L., & Ashman, T. (2025) · Journal of Ecology · doi:10.1111/1365-2745.70056 · Cited by 5

Multimodal data integration to model, predict, and understand changes in plant biodiversity: a systematic review

Martinez, E. S., Tejada-Gutiérrez, E. L., Albert Sorribas, B., Mateo, J., Solsona, F., Defacio, R. A., & Alves, R. (2025) · Ecological Informatics · doi:10.1016/j.ecoinf.2025.103485 · Cited by 5

A review of artificial intelligence in herbarium specimen image analysis

Guo, Y., Cai, H., Bramley, G. L. C., Atkins, H., Li, B., & Theodossiades, S. (2025) · Artificial Intelligence Review · doi:10.1007/s10462-025-11408-2 · Cited by 9

High-performance living plant collections require a globally integrated data ecosystem to meet twenty-first-century challenges

Brockington, S. F., Malcolm, P., Aiello, A. S., de Almeida, T. M. H., Apple, M., Aragón-Rodríguez, S. M., Arbour, T. P., Barreiro, G. D. C., Phillips-Bernal, J. F., Borsch, T., et al. (2026) · Nature Plants · doi:10.1038/s41477-025-02192-6 · Cited by 5

Vascular plant diversity of National Key Protected Wild Plants, threatened species, and endemic species ex situ conserved in botanic gardens of China

Wang, L., Zhan, Q., Liao, J., & Huang, H. (2023) · Biodiversity Science · doi:10.17520/biods.2022495 · Cited by 5

Warm Spring Days are Related to Shorter Durations of Reproductive Phenophases for Understory Forest Herbs

Miller, C. N., & Stuble, K. L. (2024) · Ecology and Evolution · doi:10.1002/ece3.70700 · Cited by 5

Global impact of the COVID-19 lockdown on biodiversity data collection

Roilo, S., Engler, J. O., & Cord, A. F. (2025) · Scientific Reports · doi:10.1038/s41598-025-93275-z · Cited by 5

Creating the vision of rapid, repeatable, reactive data workflows for policy on biodiversity

Groom, Q., Abraham, L., Adriaens, T., Breugelmans, L., Clarke, D. A., Musciano, M. D., Dove, S., Estupiñán-Suárez, L. M., Faulkner, K. T., Fernández, M., et al. (2025) · Ecological Solutions and Evidence · doi:10.1002/2688-8319.70113 · Cited by 5

Global trends, biases and gaps in the scientific literature about freshwater fish eggs and larvae

Carnicer, C., Lima, L. B., Pelicice, F. M., & Junior, D. P. L. (2022) · Journal of Fish Biology · doi:10.1111/jfb.15242 · Cited by 5

BioNoMo: the Biodiversity Network of Mozambique

Malatesta, L., Alves, T., Attorre, F., Brito, D., Cianciullo, S., Datizua, C., Abreu, D. D., Felici, S., Sousa, C. D., Langa, C., et al. (2023) · RENDICONTI LINCEI · doi:10.1007/s12210-023-01144-6 · Cited by 5

Similar Ones Are Not Related and Vice Versa—New Dendronotus Taxa (Nudibranchia: Dendronotidae) from the North Atlantic Ocean Provide a Platform for Discussion of Global Marine Biodiversity Patterns

Korshunova, T., Grøtan, V. V., Johnson, K. B., Bakken, T., PICTON, B. E., & Martynov, A. V. (2023) · Diversity · doi:10.3390/d15040504 · Cited by 5

Review and guide to the isopods (Crustacea, Isopoda) of littoral and sublittoral marine habitats in the Southern California Bight

Stebbins, T. D., & Wetzer, R. (2023) · ZooKeys · doi:10.3897/zookeys.1162.100390 · Cited by 5

Scientific Databases for Conservation of Medicinal Plants

Hidayat, S., Subositi, D., Batubara, I., Munawaroh, E., Afandi, S., & Cahyaningsih, R. (2023) · Sustainable development and biodiversity · doi:10.1007/978-981-19-9936-9_10 · Cited by 5

Taking advantage of opportunistically collected historical occurrence data to detect responses to climate change: The case of temperature and Iberian dung beetles

Lobo, J. M., Mingarro, M., Godefroid, M., & García‐Roselló, E. (2023) · Ecology and Evolution · doi:10.1002/ece3.10674 · Cited by 5

Environmental suitability throughout the late quaternary explains population genetic diversity

Hernández, N. A. H., Fernández, Á. L. R., & Upham, N. S. (2024) · Ecography · doi:10.1111/ecog.07202 · Cited by 5

Biodiversity skepticism and measurement practices

Bocchi, F. (2024) · Biology & Philosophy · doi:10.1007/s10539-024-09973-x · Cited by 8

Gestión local de la información en biodiversidad: fomentando la ciencia participativa en el sur de Chile

Sánchez‐Jardón, L., Uribe-Paredes, R., Álvarez-Saravia, D., Aldea, C., Raimilla, V., Velázquez, E., Millán, S., & Águila, J. (2022) · Ecosistemas · doi:10.7818/ecos.2385 · Cited by 6

Opening doors to physical sample tracking and attribution in Earth and environmental sciences

Damerow, J., Raia, N. H., Stanley, V., Choe, S., Borton, M., Byers, N., Cassidy, E. R., Cholia, S., Edmunds, R., Forbes, B., et al. (2025) · Scientific Data · doi:10.1038/s41597-025-05295-z · Cited by 6

Integrating Presence‐Only Data Into Spatio‐Temporal Models to Support Fisheries Assessments and Management in Freshwater and Marine Environments

Charsley, A. R., Grüss, A., Sibanda, N., Crow, S. K., Anderson, O. F., Rowden, A. A., Hoyle, S., & Bowden, D. D. (2025) · Fish and Fisheries · doi:10.1111/faf.12907 · Cited by 4

Tracing holotype trajectories: Mapping the movement of the most valuable herbarium specimens

Tomaszewski, D., Walas, Ł., & Guzicka, M. (2025) · Plants People Planet · doi:10.1002/ppp3.70071 · Cited by 4

Community-Driven IUCN Red List Assessments for European Crayfish: A Call to Action

Pârvulescu, L. (2025) · Freshwater Crayfish · doi:10.5869/fc.2025.v30-1.61 · Cited by 5

Harnessing social media data to track species range shifts

Chowdhury, S., Hawladar, N., Roy, R. C., Capinha, C., Cassey, P., Correia, R. A., Deme, G. G., Marco, M. D., Minin, E. D., Jarić, I., et al. (2026) · Conservation Biology · doi:10.1111/cobi.70234 · Cited by 5

A Global, Taxon‐Stratified, High‐Resolution Sampling‐Effort Dataset From GBIF for Bias‐Aware Ecological Modelling

El‐Gabbas, A. (2026) · Diversity and Distributions · doi:10.1111/ddi.70205 · Cited by 4

Predicting genetic biodiversity in salamanders using geographic, climatic, and life history traits

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