4.6 Article

Novel Insights to Be Gained From Applying Metacommunity Theory to Long-Term, Spatially Replicated Biodiversity Data

期刊

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fevo.2020.612794

关键词

LTER; NCO; synthesis; metacommunity; biodiversity; spatio-temporal; long-term

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资金

  1. National Science Foundation [1545288, 1931143, 1931174, 1926568]
  2. Direct For Biological Sciences [1545288] Funding Source: National Science Foundation
  3. Direct For Biological Sciences
  4. Division Of Environmental Biology [1926568] Funding Source: National Science Foundation
  5. Direct For Biological Sciences
  6. Div Of Biological Infrastructure [1931174] Funding Source: National Science Foundation
  7. Direct For Biological Sciences
  8. Div Of Biological Infrastructure [1931143] Funding Source: National Science Foundation
  9. Division Of Environmental Biology [1545288] Funding Source: National Science Foundation

向作者/读者索取更多资源

The loss of global biodiversity and its associated ecosystem services is accelerating at an alarming rate. Metacommunity theory offers a framework for understanding the multi-scale processes driving changes in biodiversity over time and space. Coordinated research and observation networks, such as the United States Long Term Ecological Research program, present an opportunity to advance our understanding of biodiversity patterns and improve conservation efforts.
Global loss of biodiversity and its associated ecosystem services is occurring at an alarming rate and is predicted to accelerate in the future. Metacommunity theory provides a framework to investigate multi-scale processes that drive change in biodiversity across space and time. Short-term ecological studies across space have progressed our understanding of biodiversity through a metacommunity lens, however, such snapshots in time have been limited in their ability to explain which processes, at which scales, generate observed spatial patterns. Temporal dynamics of metacommunities have been understudied, and large gaps in theory and empirical data have hindered progress in our understanding of underlying metacommunity processes that give rise to biodiversity patterns. Fortunately, we are at an important point in the history of ecology, where long-term studies with cross-scale spatial replication provide a means to gain a deeper understanding of the multiscale processes driving biodiversity patterns in time and space to inform metacommunity theory. The maturation of coordinated research and observation networks, such as the United States Long Term Ecological Research (LTER) program, provides an opportunity to advance explanation and prediction of biodiversity change with observational and experimental data at spatial and temporal scales greater than any single research group could accomplish. Synthesis of LTER network community datasets illustrates that long-term studies with spatial replication present an under-utilized resource for advancing spatio-temporal metacommunity research. We identify challenges towards synthesizing these data and present recommendations for addressing these challenges. We conclude with insights about how future monitoring efforts by coordinated research and observation networks could further the development of metacommunity theory and its applications aimed at improving conservation efforts.

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