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PubMed Publications| Keyword search (4,164 papers available) |  |
"traits" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | 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 |
| 2 | Variation in flower morphology associated with higher bee diversity in urban green spaces | Sinno S; MacInnis G; Lessard JP; Ziter CD; | 39609370 BIOLOGY |
| 3 | Cone allometry and seed protection from fire are similar in serotinous and nonserotinous conifers | Greene DF; Kane JM; Pounden E; Michaletz ST; | 38375897 BIOLOGY |
| 4 | Ecological strategies of (pl)ants: Towards a world-wide worker economic spectrum for ants | Gibb H; Bishop TR; Leahy L; Parr CL; Lessard JP; Sanders NJ; Shik JZ; Ibarra-Isassi J; Narendra A; Dunn RR; Wright IJ; | 37056633 BIOLOGY |
| 5 | Social cognition and depression in adolescent girls | Porter-Vignola E; Booij L; Dansereau-Laberge ÈM; Garel P; Bossé Chartier G; Seni AG; Beauchamp MH; Herba CM; | 35738696 PSYCHOLOGY |
| 6 | Concurrent Validity of the Adult Eating Behavior Questionnaire in a Canadian Sample | Cohen TR; Kakinami L; Plourde H; Hunot-Alexander C; Beeken RJ; | 34925181 PERFORM |
| 7 | Defensive Traits during White Spruce (Picea glauca) Leaf Ontogeny | Antoine-Olivier Lirette | 34357304 BIOLOGY |
| 8 | Temperature drives caste-specific morphological clines in ants. | Brassard F, Francoeur A, Lessard JP | 32858759 BIOLOGY |
| 9 | The interplay of nested biotic interactions and the abiotic environment regulates populations of a hypersymbiont. | Mestre A, Poulin R, Holt RD, Barfield M, Clamp JC, Fernandez-Leborans G, Mesquita-Joanes F | 31408529 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. |
