인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Ecological niche models (ENMs) increasingly leverage the fossil record to understand species' environmental associations and predict their geographic distributions. However, fossils do not occur uniformly through time and space, which can compromise the robustness of ENMs and thus affect ecological conclusions. Here, we assessed how preservation biases in the fossil record impact our ability to reconstruct ecological niches and distributions of North American small mammals during the late Quaternary. First, using small mammal fossil occurrences and associated depositional environment data, we quantified preservation potential (the likelihood that a given environment supports fossil preservation) and the preservation niche (environmental correlates of preservation) for three late Quaternary time periods (the Last Glacial Maximum, the deglacial period, and the Holocene). Second, we imposed the calculated preservation potential on simulated distributions of six virtual species to evaluate its impact on reconstructing species niches and geographic distributions through time. We found that preservation potential was highest in the Holocene and lowest during the deglacial period, with the differences driven by variations in climate and the prevalence of Holocene archaeological sites. In all intervals, warm, wet, and highly seasonal environments exhibited low preservation potential. These spatial and temporal differences in preservation potential significantly influenced niche reconstructions and geographic predictions, particularly impeding model quality when species niches extended beyond the preservation niche. We warn that such distortions can lead to erroneous ecological inferences, including inaccurate predictions of species responses to environmental changes and mischaracterizations of community assembly processes. We propose that our approach to modelling preservation potential can be applied across different regions, time periods, and taxonomic groups to help correct distortions caused by sampling biases through weighted background point selection that reflects these processes. Ultimately, this framework enhances the ability to disentangle true ecological patterns from preservation artifacts, improving the reliability of fossil‐based ecological and evolutionary inferences.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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