{"doi":"10.1016/j.biocon.2021.109403","title":"Interpreting and integrating multiple endemism metrics to identify hotspots for conservation priorities","abstract":null,"journal":"Biological Conservation","year":2022,"id":671224,"datarank":1.0466294871271162,"base_score":3.8066624897703196,"endowment":3.8066624897703196,"self_citation_contribution":0.5709993734655481,"citation_network_contribution":0.4756301136615682,"self_endowment_contribution":0.5709993734655481,"citer_contribution":0.4756301136615682,"corpus_percentile":null,"corpus_rank":null,"citation_count":44,"citer_count":40,"citers_with_citation_signal":26,"citers_with_endowment":26,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1753503,"name":"Jenny L. McGuire","orcid":null,"position":1,"is_corresponding":false},{"id":1753502,"name":"Benjamin R. Shipley","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Interpreting and integrating multiple endemism metrics to identify hotspots for conservation priorities","abstract":"Endemic species represent an important component of biodiversity. They are functionally and evolutionarily distinct from cosmopolitan species, and are under greater threat of extinction. As a result, endemism hotspots are often used to examine the ecology of range size and to identify the most critical conservation priorities. However, many different definitions and scales have been used to quantify endemism for ecological and conservation research. Here, we review eight distinct, commonly-used metrics of endemism, examining their implications for ecological and conservation studies worldwide. We compare and contrast the spatial distribution and interpretations of the different endemism metrics by applying each of them to a case study of Mesoamerican mammals. We then evaluate the effect of different areal units on the trends in these metrics and their conservation efficacy Hotspots of each metric are identified and overlapped. These overlaps determine consensus endemism hotspots that integrate both the evolutionary history and richness of local endemics. In our case study, both the subdivision of the study region and the endemism metric used influenced the spatial distribution of endemism. Although different biologically-defined subdivisions resulted in similar trends in endemism, endemism hotspots using arbitrary-defined units differed substantially. All eight endemism metrics were positively correlated (r ≥ 0.27), but highlight different hotspots across Mesoamerica. Only one subdivision was a hotspot for all four endemism categories. Despite their small area, these endemism hotspots protect a disproportionate number of species. These results underscore the importance of considering spatial effects and multiple aspects of endemism.","is_dataset_classified":null,"base_score":3.8066624897703196,"endowment":3.8066624897703196,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19965766","pmcid":null,"openalex_id":"https://openalex.org/W3215385649","authors":[],"funders":[{"funder_name":"National Science Foundation","grant_id":"1945013","title":"CAREER: Do Species Track Climate? Paleoecology to Disentangle Niche Dynamics"},{"funder_name":"National Science Foundation","grant_id":"DGE-2039655","title":null}],"total_grants":2,"fwci":4.7122,"citation_percentile":0.95034146,"influential_citations":0,"citation_trend":[{"year":2022,"count":3},{"year":2023,"count":10},{"year":2024,"count":13},{"year":2025,"count":12},{"year":2026,"count":6}],"oa_status":"closed","license":"Elsevier TDM","oa_locations":[{"url":"https://api.elsevier.com/content/article/PII:S0006320721004559?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S0006320721004559?httpAccept=text/plain","host_type":"publisher"},{"url":"https://doi.org/10.1016/j.biocon.2021.109403","host_type":"journal"},{"url":"https://dx.doi.org/10.1016/j.biocon.2021.109403","host_type":""}],"fields_of_study":["Species Distribution and Climate Change","Ecology and Vegetation Dynamics Studies","Wildlife Ecology and Conservation","0301 basic medicine","0106 biological sciences","03 medical and health sciences","01 natural sciences"],"mesh_terms":[],"keywords":["Endemism","Ecology","Geography","Species richness","Endemic diseases","Biology"],"sdg_mappings":[{"sdg_number":13,"sdg_label":"13. Climate action"},{"sdg_number":14,"sdg_label":"14. Life underwater"},{"sdg_number":15,"sdg_label":"15. Life on land"},{"sdg_number":0,"sdg_label":"Life in Land"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-16T01:50:04.547816Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}