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PubMed Publications| Keyword search (4,163 papers available) |  |
"Biodiversity" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | The Bug-Network (BugNet): A Global Experimental Network Testing the Effects of Invertebrate Herbivores and Fungal Pathogens on Plant Communities and Ecosystem Function in Open Ecosystems | Kempel A; Adamidis GC; Anadón JD; Atkinson J; Auge H; Avtzis D; Bachelot B; Bashirzadeh M; Bota JL; Classen A; Constantinou I; Crawley M; de Bellis T; Dostal P; Ebeling A; Eisenhauer N; Eldridge DJ; Encina G; Estrada C; Everingham S; Fanin N; Feng Y; Gaspar M; Gooriah L; Graff P; Montalván EG; Montalván PG; Hartke TR; Huang L; Jochum M; Kaljund K; Karmiris I; Koorem K; Korell L; Laine AL; le Provost G; Lessard JP; Liu M; Liu X; Liu Y; Llancabure J; Loïez S; Loydi A; Marrero H; Gockel S; Montoya A; Münzbergo | 41080499 ENCS |
| 2 | No species left behind: borrowing strength to map data-deficient species | Sharma S; Winner K; Pollock LJ; Thorson JT; Mäkinen J; Merow C; Pedersen EJ; Chefira KF; Portmann JM; Iannarilli F; Beery S; de Lutio R; Jetz W; | 40571432 BIOLOGY |
| 3 | Variation in flower morphology associated with higher bee diversity in urban green spaces | Sinno S; MacInnis G; Lessard JP; Ziter CD; | 39609370 BIOLOGY |
| 4 | Global assessment of effective population sizes: Consistent taxonomic differences in meeting the 50/500 rule | Clarke SH; Lawrence ER; Matte JM; Gallagher BK; Salisbury SJ; Michaelides SN; Koumrouyan R; Ruzzante DE; Grant JWA; Fraser DJ; | 38613250 BIOLOGY |
| 5 | Reciprocal inhibition and competitive hierarchy cause negative biodiversity-ecosystem function relationships | D' Andrea R; Khattar G; Koffel T; Frans VF; Bittleston LS; Cuellar-Gempeler C; | 38193391 BIOLOGY |
| 6 | Variation in a Darwin Wasp (Hymenoptera: Ichneumonidae) Community along an Elevation Gradient in a Tropical Biodiversity Hotspot: Implications for Ecology and Conservation | Flinte V; Pádua DG; Durand EM; Hodgin C; Khattar G; da Silveira LFL; Fernandes DRR; Sääksjärvi IE; Monteiro RF; Macedo MV; Mayhew PJ; | 37999060 BIOLOGY |
| 7 | Macrogenetics reveals multifaceted influences of environmental variation on vertebrate population genetic diversity across the Americas | Lawrence ER; Pedersen EJ; Fraser DJ; | 37365672 BIOLOGY |
| 8 | Identifying climate change refugia for South American biodiversity | Sales LP; Pires MM; | 36919472 BIOLOGY |
| 9 | Decline in wild bee species richness associated with honey bee (Apis mellifera L.) abundance in an urban ecosystem | MacInnis G; Normandin E; Ziter CD; | 36755869 BIOLOGY |
| 10 | The effect of past defaunation on ranges, niches, and future biodiversity forecasts | Sales LP; Galetti M; Carnaval A; Monsarrat S; Svenning JC; Pires MM; | 35246902 BIOLOGY |
| 11 | Diversity from genes to ecosystems: A unifying framework to study variation across biological metrics and scales. | Gaggiotti OE, Chao A, Peres-Neto P, Chiu CH, Edwards C, Fortin MJ, Jost L, Richards CM, Selkoe KA | 30026805 BIOLOGY |
| 12 | Biodiversity Observations Miner: A web application to unlock primary biodiversity data from published literature. | Muñoz G, Kissling WD, van Loon EE | 30692868 BIOLOGY |
| Title: | No species left behind: borrowing strength to map data-deficient species | ||||
| Authors: | Sharma S, Winner K, Pollock LJ, Thorson JT, Mäkinen J, Merow C, Pedersen EJ, Chefira KF, Portmann JM, Iannarilli F, Beery S, de Lutio R, Jetz W | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/40571432/ | ||||
| DOI: | 10.1016/j.tree.2025.04.010 | ||||
| Publication: | Trends in ecology & evolution | ||||
| Keywords: | biodiversity; conservation; data gaps; phylogeny; species distribution modeling; traits; | ||||
| PMID: | 40571432 | Category: | Date Added: | 2025-06-27 | |
| Dept Affiliation: |
BIOLOGY
1 Ecology and Evolutionary Biology Department, Yale University, 165 Prospect Street, New Haven, CT 06520, USA; Center for Biodiversity and Global Change, Yale University, New Haven, CT, USA. Electronic address: shubhi.sharma@yale.edu. 2 Ecology and Evolutionary Biology Department, Yale University, 165 Prospect Street, New Haven, CT 06520, USA; Center for Biodiversity and Global Change, Yale University, New Haven, CT, USA. 3 Department of Biology, McGill University, 1205 Docteur Penfield, Montreal, Quebec, H3A 1B1, Canada. 4 Resource Ecology and Fisheries Management Division, Alaska Fisheries Science Center, National Marine Fisheries Service, Seattle, WA 98115, USA. 5 Ecology and Evolutionary Biology Department, Yale University, 165 Prospect Street, New Haven, CT 06520, USA; Center for Biodiversity and Global Change, Yale University, New Haven, CT, USA; Research Centre for Ecological Change, Research Programme of Organismal and Evolutionary Biology, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, 00014, Finland. 6 Eversource Energy Center and Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA. 7 Department of Biology, Concordia University, Montreal, Quebec, H3A 1B1, Canada; Department of Biology, Memorial University of Newfoundland and Labrador, Saint John's, NL A1C 5S7, Canada. 8 Faculty of AI and Decision Making, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. 9 EcoVision Lab, Photogrammetry and Remote Sensing, ETH Zürich, Zürich, 8093, Switzerland. |
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Description: |
We lack the data needed to detect and understand biodiversity change for most species, despite some species having millions of observations. This unequal data coverage impedes conservation planning and our understanding of biodiversity patterns. The 'borrowing strength' approach leverages data-rich species to improve predictions for data-deficient species. We review multi- and joint-species distribution models that incorporate traits and phylogenies (termed 'ancillary information') and highlight how they could improve data-deficient spatial predictions. When ancillary information is informative of niche similarity, it has immense potential to improve estimates for data-deficient species distributions and address the Wallacean shortfall. While no statistical method can replace data-collection efforts, approaches discussed in this review offer an important contribution toward closing existing data gaps. |
