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<p>Ecological science relies on robust estimates of the abundance, diversity, and spatial distribution of individuals and species, but these quantities are notoriously difficult to observe directly. Data collected on these quantities not only reflect the ecological processes giving rise to them but also the observation process, which is often biased by factors such as uneven sampling effort or imperfect detection. Furthermore, collecting data according to standard sampling designs is often not possible. Statistical ecology as a research field specialises in developing statistical methods for analysing such complex ecological data. Here, we apply text analysis tools to the abstracts submitted to eight International Statistical Ecology Conferences between 2008 and 2022 to guide a review of recent topics in statistical ecology. Results show that estimating various aspects of demography (including survival, recruitment, abundance, density and movement) and spatial distribution remain key areas of research. The field has benefited from and embraced new data collection methods such as automated recorders and rapidly developing remote sensing techniques. How to integrate data from different sources is a central challenge that spans multiple areas of statistical ecology. The statistical ecology community strives to be more inclusive, and to promote rigorous data analysis practices that support reproducible research and transparent conservation decisions. As human pressures on nature intensify, statistical ecology is becoming an increasingly vital area of research.</p>

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Emerging Topics and New Directions in Statistical Ecology

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年5月29日

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  • Res Altwegg,
  • Sulaiman Salau,
  • Fitsum Abadi,
  • Francisco Cervantes,
  • Allan E Clark,
  • Greg Distiller,
  • Olivier Gimenez,
  • Dominic A. W. Henry,
  • Alison Johnston,
  • Rocío Joo,
  • Natasha Karenyi,
  • Tim Kuiper,
  • Tiago A. Marques,
  • Mzabalazo Ngwenya,
  • W. Chris Oosthuizen,
  • Theoni Photopoulou,
  • Jasper Slingsby,
  • Chris Sutherland,
  • Vernon Visser

摘要

Ecological science relies on robust estimates of the abundance, diversity, and spatial distribution of individuals and species, but these quantities are notoriously difficult to observe directly. Data collected on these quantities not only reflect the ecological processes giving rise to them but also the observation process, which is often biased by factors such as uneven sampling effort or imperfect detection. Furthermore, collecting data according to standard sampling designs is often not possible. Statistical ecology as a research field specialises in developing statistical methods for analysing such complex ecological data. Here, we apply text analysis tools to the abstracts submitted to eight International Statistical Ecology Conferences between 2008 and 2022 to guide a review of recent topics in statistical ecology. Results show that estimating various aspects of demography (including survival, recruitment, abundance, density and movement) and spatial distribution remain key areas of research. The field has benefited from and embraced new data collection methods such as automated recorders and rapidly developing remote sensing techniques. How to integrate data from different sources is a central challenge that spans multiple areas of statistical ecology. The statistical ecology community strives to be more inclusive, and to promote rigorous data analysis practices that support reproducible research and transparent conservation decisions. As human pressures on nature intensify, statistical ecology is becoming an increasingly vital area of research.