Predictability of ecological and evolutionary dynamics in a changing world

被引:0
|
作者
Bozzuto, Claudio [1 ]
Ives, Anthony R. [2 ]
机构
[1] Wildlife Anal GmbH, Oetlisbergstr 38, CH-8053 Zurich, Switzerland
[2] Univ Wisconsin Madison, Dept Integrat Biol, Madison, WI 53706 USA
关键词
biodiversity loss; conservation; forecasting; phenotypic trait; predictive power; time-series analysis; FUTURE;
D O I
10.1098/rspb.2024.0980
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Ecological and evolutionary predictions are being increasingly employed to inform decision-makers confronted with intensifying pressures on biodiversity. For these efforts to effectively guide conservation actions, knowing the limit of predictability is pivotal. In this study, we provide realistic expectations for the enterprise of predicting changes in ecological and evolutionary observations through time. We begin with an intuitive explanation of predictability (the extent to which predictions are possible) employing an easy-to-use metric, predictive power PP(t). To illustrate the challenge of forecasting, we then show that among insects, birds, fishes and mammals, (i) 50% of the populations are predictable at most 1 year in advance and (ii) the median 1-year-ahead predictive power corresponds to a prediction R 2 of only 20%. Predictability is not an immutable property of ecological systems. For example, different harvesting strategies can impact the predictability of exploited populations to varying degrees. Moreover, incorporating explanatory variables, accounting for time trends and considering multivariate time series can enhance predictability. To effectively address the challenge of biodiversity loss, researchers and practitioners must be aware of the information within the available data that can be used for prediction and explore efficient ways to leverage this knowledge for environmental stewardship.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Eco-evolutionary dynamics in a changing world
    Hanski, Ilkka
    [J]. YEAR IN ECOLOGY AND CONSERVATION BIOLOGY, 2012, 1249 : 1 - 17
  • [2] Editorial: Ecological and evolutionary relevance of phenotypic plasticity in a changing world
    Ivimey-Cook, Edward R.
    Cortes, Pablo A.
    Carter, Mauricio J.
    [J]. FRONTIERS IN ECOLOGY AND EVOLUTION, 2023, 11
  • [3] The predictability of ecological stability in a noisy world
    Qiang Yang
    Mike S. Fowler
    Andrew L. Jackson
    Ian Donohue
    [J]. Nature Ecology & Evolution, 2019, 3 : 251 - 259
  • [4] The predictability of ecological stability in a noisy world
    Yang, Qiang
    Fowler, Mike S.
    Jackson, Andrew L.
    Donohue, Ian
    [J]. NATURE ECOLOGY & EVOLUTION, 2019, 3 (02) : 251 - +
  • [5] Exchange rate predictability in a changing world
    Byrne, Joseph P.
    Korobilis, Dimitris
    Ribeiro, Pinho J.
    [J]. JOURNAL OF INTERNATIONAL MONEY AND FINANCE, 2016, 62 : 1 - 24
  • [6] The assembly and dynamics of ecological communities in an ever-changing world
    Godoy, Oscar
    Soler-Toscano, Fernando
    Portillo, Jose R.
    Langa, Jose A.
    [J]. ECOLOGICAL MONOGRAPHS, 2024,
  • [7] Unravelling the dynamics of organisms in a changing world using ecological modelling
    Amano, Tatsuya
    [J]. ECOLOGICAL RESEARCH, 2012, 27 (03) : 495 - 507
  • [8] Evolutionary Rescue in a Linearly Changing Environment: Limits on Predictability
    Orive, Maria E.
    Holt, Robert D.
    Barfield, Michael
    [J]. BULLETIN OF MATHEMATICAL BIOLOGY, 2019, 81 (11) : 4821 - 4839
  • [9] Evolutionary Rescue in a Linearly Changing Environment: Limits on Predictability
    Maria E. Orive
    Robert D. Holt
    Michael Barfield
    [J]. Bulletin of Mathematical Biology, 2019, 81 : 4821 - 4839
  • [10] Plant-microbe eco-evolutionary dynamics in a changing world
    Angulo, Violeta
    Beriot, Nicolas
    Garcia-Hernandez, Edisa
    Li, Erqin
    Masteling, Raul
    Lau, Jennifer A.
    [J]. NEW PHYTOLOGIST, 2022, 234 (06) : 1919 - 1928