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Although the impact of bushfires on vertebrates is well\u2010documented, the corresponding effects on insect taxa are rarely examined, although they are responsible for key ecosystem functions and services. Understanding the effects of bushfire seasons on insect distributions could elucidate long\u2010term impacts and patterns of ecosystem recovery.<\/jats:p>\n                      <\/jats:list-item>\n                      <jats:list-item>\n                        <jats:p>\n                          Here, the authors investigated the effects of recent bushfires, land\u2010cover change, and climatic variables on the distribution of a common and endemic dragonfly, the swamp tigertail (\n                          <jats:italic>Synthemis eustalacta<\/jats:italic>\n                          ) (Burmeister, 1839), which inhabits forests that have recently undergone severe burning. The authors used a temporally dynamic species distribution modelling approach that incorporated 20\u2009years of community\u2010science data on dragonfly occurrence and predictors based on fire, land cover, and climate to make yearly predictions of suitability. The authors also compared this to an approach that combines multiple temporally static models that use annual data.\n                        <\/jats:p>\n                      <\/jats:list-item>\n                      <jats:list-item>\n                        <jats:p>The authors found that for both approaches, fire\u2010specific variables had negligible importance for the models, while the percentage of tree and non\u2010vegetative cover were most important. The authors also found that the dynamic model outperformed the static ones, based on cross\u2010validation omission rate. Model predictions indicated temporal variation in area and spatial arrangement of suitable habitat, but no patterns of habitat expansion, contraction, or shifting.<\/jats:p>\n                      <\/jats:list-item>\n                      <jats:list-item>\n                        <jats:p>These results highlight not only the efficacy of dynamic modelling to capture spatiotemporal variables such as vegetation cover for an endemic insect species, but also provide a novel approach to mapping species distributions with sparse locality records.<\/jats:p>\n                      <\/jats:list-item>\n                    <\/jats:list>\n                  <\/jats:p>","DOI":"10.1111\/een.13216","type":"journal-article","created":{"date-parts":[[2022,12,10]],"date-time":"2022-12-10T03:35:48Z","timestamp":1670643348000},"page":"209-225","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Dynamic distribution modelling of the swamp tigertail dragonfly\n                    <i>Synthemis eustalacta<\/i>\n                    (Odonata: Anisoptera: Synthemistidae) over a 20\u2010year bushfire regime"],"prefix":"10.1111","volume":"48","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7051-8249","authenticated-orcid":false,"given":"Aaron M.","family":"Goodman","sequence":"first","affiliation":[{"name":"Division of Invertebrate Zoology American Museum of Natural History  New York USA"},{"name":"Department of Invertebrate Zoology, Richard Gilder Graduate School American Museum of Natural History  New York USA"},{"name":"Graduate School and University Center City University of New York  New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9432-895X","authenticated-orcid":false,"given":"Jamie M.","family":"Kass","sequence":"additional","affiliation":[{"name":"Okinawa Institute of Science and Technology Graduate University  Okinawa 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