A digital twin for real-time biodiversity forecasting with citizen science data.

No abstract is available for this paper.

• Publication year

  2026

• Venue

  Nature Ecology & Evolution

• Publication date

  2026-01-27

• Fields of study

  Biology, Medicine, Computer Science, Environmental Science

• Identifiers
  DOI 10.1038/s41559-025-02966-3PMID 41593185PMCID PMC12971481
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• What is a Digital Twin Anyway? Deriving the Definition for the Built Environment from over 15,000 Scientific Publications

  2024cited by this paper
• A Mobile Application–Based Citizen Science Product to Compile Bird Observations

  2024cited by this paper
• Accelerating joint species distribution modelling with Hmsc-HPC by GPU porting

  2024cited by this paper
• China’s digital and green (twin) transition: insights from national and regional innovation policies

  2024cited by this paper
• TwinEco: A Unified Framework for Dynamic Data-Driven Digital Twins in Ecology

  2024cited by this paper
• A framework for contextualizing social‐ecological biases in contributory science data

  2024cited by this paper
• LIFEPLAN: A worldwide biodiversity sampling design

  2024cited by this paper
• Developing Prototype Digital Twins for biodiversity conservation and management: achievements, challenges and perspectives

  2024cited by this paper
• Citizen science participant motivations and behaviour: Implications for biodiversity data coverage

  2023cited by this paper
• Novel community data in ecology-properties and prospects.

  2023cited by this paper
• A framework for the detection and attribution of biodiversity change

  2023cited by this paper
• Digital twins: dynamic model-data fusion for ecology.

  2023cited by this paper
• Citizen science in environmental and ecological sciences

  2022cited by this paper
• Expanding the Impact of Citizen Science

  2021cited by this paper
• Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributions

  2021cited by this paper
• A quantitative review of abundance-based species distribution models

  2021cited by this paper
• Addressing data integration challenges to link ecological processes across scales

  2021cited by this paper
• The Finnish Biodiversity Information Facility as a best-practice model for biodiversity data infrastructures

  2021cited by this paper
• A review of the heterogeneous landscape of biodiversity databases: opportunities and challenges for a synthesized biodiversity knowledge base

  2021cited by this paper
• Integrated species distribution models: A comparison of approaches under different data quality scenarios

  2021cited by this paper
• BirdNET: A deep learning solution for avian diversity monitoring

  2021cited by this paper
• Challenges and benefits of using unstructured citizen science data to estimate seasonal timing of bird migration across large scales

  2021cited by this paper
• An inventory of biodiversity data sources for conservation monitoring

  2020cited by this paper
• Joint species distribution modelling with the r‐package Hmsc

  2020cited by this paper
• Global targets that reveal the social–ecological interdependencies of sustainable development

  2020cited by this paper
• Protecting Biodiversity (in All Its Complexity): New Models and Methods.

  2020cited by this paper
• Sampling biases shape our view of the natural world

  2020cited by this paper
• Joint Species Distribution Modelling

  2020cited by this paper
• Innovations in data integration for modeling populations.

  2019cited by this paper
• Do Big Unstructured Biodiversity Data Mean More Knowledge?

  2019cited by this paper
• Using Semistructured Surveys to Improve Citizen Science Data for Monitoring Biodiversity

  2019cited by this paper
• BioTIME: A database of biodiversity time series for the Anthropocene

  2018cited by this paper
• Situating Ecology as a Big-Data Science: Current Advances, Challenges, and Solutions

  2018cited by this paper
• The influence of motivational factors on the frequency of participation in citizen science activities

  2017cited by this paper
• How to make more out of community data? A conceptual framework and its implementation as models and software.

  2017cited by this paper
• Spatial Gaps in Global Biodiversity Information and the Role of Citizen Science

  2016cited by this paper
• Can citizen science enhance public understanding of science?

  2016cited by this paper
• Improving the forecast for biodiversity under climate change

  2016cited by this paper
• REVIEW: Predictive ecology in a changing world

  2015cited by this paper
• Estimating species diversity and distribution in the era of Big Data: to what extent can we trust public databases?

  2015cited by this paper
• The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts

  2014cited by this paper
• Faculty Opinions recommendation of Biodiversity simultaneously enhances the production and stability of community biomass, but the effects are independent.

  2013cited by this paper
• Four barriers to the global understanding of biodiversity conservation: wealth, language, geographical location and security

  2013cited by this paper
• Ecosystems: Time to model all life on Earth

  2013cited by this paper
• Opportunistic citizen science data of animal species produce reliable estimates of distribution trends if analysed with occupancy models

  2013cited by this paper
• Citizen Science as an Ecological Research Tool: Challenges and Benefits

  2010cited by this paper
• The Intergovernmental science-policy Platform on Biodiversity and Ecosystem Services: moving a step closer to an IPCC-like mechanism for biodiversity

  2010cited by this paper
• eBird: A citizen-based bird observation network in the biological sciences

  2009cited by this paper
• Ecological forecasts: an emerging imperative.

  2001cited by this paper

• No citing papers are available for this paper.