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Holistic understanding of contemporary ecosystems requires integration of data on domesticated, captive and cultivated organisms
Biodiversity Data Journal ( IF 1.3 ) Pub Date : 2021-06-15 , DOI: 10.3897/bdj.9.e65371
Quentin Groom 1, 2 , Tim Adriaens 3 , Sandro Bertolino 4 , Kendra Phelps 5 , Jorrit H Poelen 6 , DeeAnn Marie Reeder 7 , David M Richardson 2 , Nancy B Simmons 8 , Nathan Upham 9
Affiliation  

Domestic and captive animals and cultivated plants should be recognised as integral components in contemporary ecosystems. They interact with wild organisms through such mechanisms as hybridization, predation, herbivory, competition and disease transmission and, in many cases, define ecosystem properties. Nevertheless, it is widespread practice for data on domestic, captive and cultivated organisms to be excluded from biodiversity repositories, such as natural history collections. Furthermore, there is a lack of integration of data collected about biodiversity in disciplines, such as agriculture, veterinary science, epidemiology and invasion science. Discipline-specific data are often intentionally excluded from integrative databases in order to maintain the “purity” of data on natural processes. Rather than being beneficial, we argue that this practise of data exclusivity greatly limits the utility of discipline-specific data for applications ranging from agricultural pest management to invasion biology, infectious disease prevention and community ecology. This problem can be resolved by data providers using standards to indicate whether the observed organism is of wild or domestic origin and by integrating their data with other biodiversity data (e.g. in the Global Biodiversity Information Facility). Doing so will enable efforts to integrate the full panorama of biodiversity knowledge across related disciplines to tackle pressing societal questions.

中文翻译:

对当代生态系统的全面了解需要整合驯化、圈养和栽培生物的数据

家养和圈养动物和栽培植物应被视为当代生态系统的组成部分。它们通过杂交、捕食、食草、竞争和疾病传播等机制与野生生物相互作用,并在许多情况下定义生态系统特性。然而,将家养、圈养和栽培生物的数据排除在生物多样性存储库(例如自然历史收藏)之外是一种普遍的做法。此外,在农业、兽医学、流行病学和入侵科学等学科中收集的有关生物多样性的数据缺乏整合。为了保持自然过程数据的“纯度”,通常会故意将特定学科的数据从综合数据库中排除。与其说是有益的,我们认为,这种数据独占性的做法极大地限制了特定学科数据在农业害虫管理、入侵生物学、传染病预防和群落生态学等应用中的效用。数据提供者可以使用标准来解决这个问题,以表明观察到的生物是野生的还是国内的,并将他们的数据与其他生物多样性数据(例如,在全球生物多样性信息设施中)整合。这样做将有助于整合相关学科的生物多样性知识的全貌,以解决紧迫的社会问题。数据提供者可以使用标准来解决这个问题,以表明观察到的生物是野生的还是国内的,并将他们的数据与其他生物多样性数据(例如,在全球生物多样性信息设施中)整合。这样做将有助于整合相关学科的生物多样性知识的全貌,以解决紧迫的社会问题。数据提供者可以使用标准来解决这个问题,以表明观察到的生物是野生的还是国内的,并将他们的数据与其他生物多样性数据(例如,在全球生物多样性信息设施中)整合。这样做将有助于整合相关学科的生物多样性知识的全貌,以解决紧迫的社会问题。
更新日期:2021-06-16
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