Predictive models are indeed useful for causal inference
The subject of investigating causation in ecology has been widely discussed in recent years, especially by advocates of a structural causal model (SCM) approach. Some of these advocates have criticized the use of predictive models and model selection for drawing inferences about causation. We argue...
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| Vydáno v: | Ecology (Durham) Ročník 106; číslo 1; s. e4517 - n/a |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Hoboken, USA
John Wiley & Sons, Inc
01.01.2025
Ecological Society of America |
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| ISSN: | 0012-9658, 1939-9170, 1939-9170 |
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| Abstract | The subject of investigating causation in ecology has been widely discussed in recent years, especially by advocates of a structural causal model (SCM) approach. Some of these advocates have criticized the use of predictive models and model selection for drawing inferences about causation. We argue that the comparison of model‐based predictions with observations is a key step in hypothetico‐deductive (H‐D) science and remains a valid approach for assessing causation. We draw a distinction between two approaches to inference based on predictive modeling. The first approach is not guided by causal hypotheses and focuses on the relationship between a (typically) single response variable and a potentially large number of covariates. We agree that this approach does not yield useful inferences about causation and is primarily useful for hypothesis generation. The second approach follows a H‐D framework and is guided by specific hypotheses about causal relationships. We believe that this has been, and continues to be, a useful approach to causal inference. Here, we first define different kinds of causation, arguing that a “probability‐raisers‐of‐processes” definition is especially appropriate for many ecological systems. We outline different scientific “designs” for generating the observations used to investigate causation. We briefly outline some relevant components of the SCM and H‐D approaches to investigating causation, emphasizing a H‐D approach that focuses on modeling causal effects on vital rate (e.g., rates of survival, recruitment, local extinction, colonization) parameters underlying system dynamics. We consider criticisms of predictive modeling leveled by some SCM proponents and provide two example analyses of ecological systems that use predictive modeling and avoid these criticisms. We conclude that predictive models have been, and can continue to be, useful for providing inferences about causation. |
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| AbstractList | The subject of investigating causation in ecology has been widely discussed in recent years, especially by advocates of a structural causal model (SCM) approach. Some of these advocates have criticized the use of predictive models and model selection for drawing inferences about causation. We argue that the comparison of model‐based predictions with observations is a key step in hypothetico‐deductive (H‐D) science and remains a valid approach for assessing causation. We draw a distinction between two approaches to inference based on predictive modeling. The first approach is not guided by causal hypotheses and focuses on the relationship between a (typically) single response variable and a potentially large number of covariates. We agree that this approach does not yield useful inferences about causation and is primarily useful for hypothesis generation. The second approach follows a H‐D framework and is guided by specific hypotheses about causal relationships. We believe that this has been, and continues to be, a useful approach to causal inference. Here, we first define different kinds of causation, arguing that a “probability‐raisers‐of‐processes” definition is especially appropriate for many ecological systems. We outline different scientific “designs” for generating the observations used to investigate causation. We briefly outline some relevant components of the SCM and H‐D approaches to investigating causation, emphasizing a H‐D approach that focuses on modeling causal effects on vital rate (e.g., rates of survival, recruitment, local extinction, colonization) parameters underlying system dynamics. We consider criticisms of predictive modeling leveled by some SCM proponents and provide two example analyses of ecological systems that use predictive modeling and avoid these criticisms. We conclude that predictive models have been, and can continue to be, useful for providing inferences about causation. The subject of investigating causation in ecology has been widely discussed in recent years, especially by advocates of a structural causal model (SCM) approach. Some of these advocates have criticized the use of predictive models and model selection for drawing inferences about causation. We argue that the comparison of model-based predictions with observations is a key step in hypothetico-deductive (H-D) science and remains a valid approach for assessing causation. We draw a distinction between two approaches to inference based on predictive modeling. The first approach is not guided by causal hypotheses and focuses on the relationship between a (typically) single response variable and a potentially large number of covariates. We agree that this approach does not yield useful inferences about causation and is primarily useful for hypothesis generation. The second approach follows a H-D framework and is guided by specific hypotheses about causal relationships. We believe that this has been, and continues to be, a useful approach to causal inference. Here, we first define different kinds of causation, arguing that a "probability-raisers-of-processes" definition is especially appropriate for many ecological systems. We outline different scientific "designs" for generating the observations used to investigate causation. We briefly outline some relevant components of the SCM and H-D approaches to investigating causation, emphasizing a H-D approach that focuses on modeling causal effects on vital rate (e.g., rates of survival, recruitment, local extinction, colonization) parameters underlying system dynamics. We consider criticisms of predictive modeling leveled by some SCM proponents and provide two example analyses of ecological systems that use predictive modeling and avoid these criticisms. We conclude that predictive models have been, and can continue to be, useful for providing inferences about causation.The subject of investigating causation in ecology has been widely discussed in recent years, especially by advocates of a structural causal model (SCM) approach. Some of these advocates have criticized the use of predictive models and model selection for drawing inferences about causation. We argue that the comparison of model-based predictions with observations is a key step in hypothetico-deductive (H-D) science and remains a valid approach for assessing causation. We draw a distinction between two approaches to inference based on predictive modeling. The first approach is not guided by causal hypotheses and focuses on the relationship between a (typically) single response variable and a potentially large number of covariates. We agree that this approach does not yield useful inferences about causation and is primarily useful for hypothesis generation. The second approach follows a H-D framework and is guided by specific hypotheses about causal relationships. We believe that this has been, and continues to be, a useful approach to causal inference. Here, we first define different kinds of causation, arguing that a "probability-raisers-of-processes" definition is especially appropriate for many ecological systems. We outline different scientific "designs" for generating the observations used to investigate causation. We briefly outline some relevant components of the SCM and H-D approaches to investigating causation, emphasizing a H-D approach that focuses on modeling causal effects on vital rate (e.g., rates of survival, recruitment, local extinction, colonization) parameters underlying system dynamics. We consider criticisms of predictive modeling leveled by some SCM proponents and provide two example analyses of ecological systems that use predictive modeling and avoid these criticisms. We conclude that predictive models have been, and can continue to be, useful for providing inferences about causation. |
| Author | Cooch, Evan G. Nichols, James D. |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/39844462$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.2307/2025310 10.1007/BF00349013 10.1016/j.biocon.2015.08.038 10.1515/9781400857081.316 10.2307/2937171 10.1073/pnas.2100769118 10.2307/3802429 10.1017/CBO9780511803161 10.1016/j.biocon.2009.07.028 10.1111/j.1365-2656.2012.02001.x 10.2307/3802097 10.2307/1935620 10.1002/ece3.5836 10.1038/s41467-023-37194-5 10.1126/science.146.3642.347 10.1890/1051-0761(2001)011[1722:IPFPCT]2.0.CO;2 10.1111/1471-0528.15199 10.1071/ZO9540009 10.2307/3800948 10.1098/rspb.2020.2815 10.2307/3807913 10.1016/j.ecolmodel.2007.05.016 10.1111/2041-210X.13190 10.2307/3808148 10.2307/1936961 10.1093/oso/9780198838609.003.0019 10.1097/00001648-199901000-00008 10.1139/z60-011 10.1002/ecy.2962 10.1890/11-1709.1 10.1016/j.tree.2021.08.008 10.1073/pnas.2102859118 10.2307/1912791 10.1111/oik.03726 10.1002/ecy.2166 10.1890/14-1361.1 10.2307/2678483 10.1086/607980 10.1890/13-0012.1 10.1525/bio.2012.62.5.11 10.2307/1942257 10.1111/rssa.12550 10.1007/978-3-030-18187-1 10.2307/2981525 10.1146/annurev-statistics-040120-010930 10.1515/9781400857081.297 10.1002/ecm.1628 10.1890/10-2142.1 10.1002/ecs2.4009 10.1002/ecs2.3306 10.1073/pnas.1805563115 10.1037/h0037350 10.2307/2530461 10.1650/CONDOR-15-24.1 10.1002/eap.1861 10.1002/ecy.3336 10.1002/ecs2.2422 10.4324/9781003143000 10.1073/pnas.1710231115 10.1007/978-94-007-6094-3_13 10.1126/science.1227079 10.1111/ele.14033 10.1890/02-3090 |
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| Keywords | strength of inference directed acyclic graphs predictive models study design causality |
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| References | 2019; 2019 2021; 288 2022b; 25 1982; 52 1960; 38 2018; 125 1972 1969; 37 2024 2022a; 13 1979 1981; 45 2021; 36 2018; 9 1986; 149 2001 2016; 118 2021; 118 2019; 116 1984 2011; 21 1999; 10 2019; 29 1982 1897; 5 2016; 80 2001; 11 2014; 95 2003; 84 1979; 60 1947 2012; 338 2010; 6 1954; 2 2012; 62 1964; 146 2001; 98 2015; 2 2015; 1 2012; 81 1973; 70 2019; 9 1976; 46 2023; 14 1997; 61 2021; 2 2021; 102 1988; 58 2015; 96 2011; 40 2020; 183 2024; 94 2009 1997 2008 2007 2006 2020; 101 2016; 126 1988; 52 1992 2002 2007; 208 2012; 93 2015; 191 1974; 66 2021; 12 2023 1977; 58 2021 2018; 115 2022; 9 2019 2018 1997; 38 1962 2009; 142 2013 2018; 99 1983; 47 1992; 62 e_1_2_12_4_1 e_1_2_12_6_1 e_1_2_12_19_1 e_1_2_12_2_1 e_1_2_12_17_1 Pearl J. (e_1_2_12_62_1) 2010; 6 Diller, L. V., K. A., Hamm, D. A. Early, D. W. Lamphear, K. M. Dugger, C. B. Yackulic, C. J. Schwarz, P. C. Carlson, and T. L. McDonald. (e_1_2_12_21_1) 2016; 80 e_1_2_12_20_1 e_1_2_12_41_1 e_1_2_12_87_1 Seber G. A. F. (e_1_2_12_71_1) 1982 e_1_2_12_22_1 e_1_2_12_64_1 e_1_2_12_85_1 e_1_2_12_24_1 e_1_2_12_45_1 Burnham K. P. (e_1_2_12_8_1) 2002 e_1_2_12_26_1 e_1_2_12_47_1 e_1_2_12_68_1 Cooch E. (e_1_2_12_15_1) 2001 Reichenbach H. (e_1_2_12_66_1) 2008 e_1_2_12_83_1 e_1_2_12_60_1 e_1_2_12_81_1 e_1_2_12_31_1 e_1_2_12_77_1 Williams B. K. (e_1_2_12_82_1) 2002 e_1_2_12_33_1 e_1_2_12_54_1 e_1_2_12_35_1 e_1_2_12_56_1 Hines J. E. (e_1_2_12_38_1) 2006 e_1_2_12_58_1 e_1_2_12_79_1 Fretwell S. D. (e_1_2_12_29_1) 1972 e_1_2_12_14_1 e_1_2_12_12_1 Kéry M. (e_1_2_12_42_1) 2015 e_1_2_12_10_1 e_1_2_12_73_1 Skalski J. R. (e_1_2_12_75_1) 1992 e_1_2_12_50_1 e_1_2_12_3_1 Green R. H. (e_1_2_12_34_1) 1979 e_1_2_12_18_1 Hilborn R. (e_1_2_12_37_1) 1997 e_1_2_12_39_1 Link W. A. (e_1_2_12_49_1) 2009 Fisher R. A. (e_1_2_12_27_1) 1947 Kéry M. (e_1_2_12_43_1) 2021 Isaacson W. (e_1_2_12_40_1) 2007 e_1_2_12_44_1 e_1_2_12_63_1 e_1_2_12_86_1 Popper K. R. (e_1_2_12_65_1) 1962 e_1_2_12_23_1 e_1_2_12_46_1 e_1_2_12_69_1 e_1_2_12_25_1 e_1_2_12_48_1 e_1_2_12_67_1 e_1_2_12_80_1 Marzolin G. (e_1_2_12_52_1) 1988; 58 e_1_2_12_61_1 e_1_2_12_84_1 Balaji A. (e_1_2_12_5_1) 2015; 2 Cooch E. G. (e_1_2_12_16_1) 2024 MacKenzie D. I. (e_1_2_12_51_1) 2018 e_1_2_12_30_1 e_1_2_12_53_1 e_1_2_12_76_1 e_1_2_12_32_1 e_1_2_12_55_1 e_1_2_12_74_1 e_1_2_12_57_1 Forsman E. D. (e_1_2_12_28_1) 2011; 40 e_1_2_12_36_1 e_1_2_12_59_1 e_1_2_12_78_1 e_1_2_12_13_1 e_1_2_12_11_1 e_1_2_12_72_1 e_1_2_12_7_1 e_1_2_12_70_1 e_1_2_12_9_1 |
| References_xml | – year: 2009 – volume: 81 start-page: 1288 year: 2012 end-page: 1297 article-title: Joint Estimation of Habitat Dynamics and Species Interactions; Disturbance Reduces Co‐Occurrence of Non‐Native Predators with an Endangered Toad publication-title: Journal of Animal Ecology – volume: 115 start-page: 1424 year: 2018 end-page: 1432 article-title: Iterative Near‐Term Ecological Forecasting: Needs, Opportunities, and Challenges publication-title: Proceedings of the National Academy of Sciences of the United States of America – year: 1962 – volume: 25 start-page: 1741 year: 2022b end-page: 1745 article-title: Predictive Models Aren't for Causal Inference publication-title: Ecology Letters – volume: 116 start-page: 5311 year: 2019 end-page: 5318 article-title: Causal Inference in Coupled Human and Natural Systems publication-title: Proceedings of the National Academy of Sciences of the United States of America – volume: 45 start-page: 293 year: 1981 end-page: 313 article-title: Wildlife Science: Gaining Reliable Knowledge publication-title: Journal of Wildlife Management – volume: 9 start-page: 13991 year: 2019 end-page: 14004 article-title: Accumulating Evidence in Ecology: Once Is Not Enough publication-title: Ecology and Evolution – volume: 5 start-page: 837 year: 1897 end-page: 848 article-title: The Method of Multiple Working Hypotheses publication-title: Journal of Geology – year: 2001 – volume: 191 start-page: 759 year: 2015 end-page: 769 article-title: Implementation of a Framework for Multi‐Species, Multi‐Objective Adaptive Management in Delaware Bay publication-title: Biological Conservation – volume: 338 start-page: 496 year: 2012 end-page: 500 article-title: Detecting Causality in Complex Ecosystems publication-title: Science – volume: 70 start-page: 556 year: 1973 end-page: 567 article-title: Causation publication-title: The Journal of Philosophy – volume: 101 year: 2020 article-title: Scientist's Guide to Developing Explanatory Statistical Models Using Causal Analysis Principles publication-title: Ecology – volume: 6 start-page: 39 year: 2010 end-page: 58 article-title: Causal Inference publication-title: JMLR Workshop and Conference Proceedings – year: 2024 – volume: 142 start-page: 2983 year: 2009 end-page: 2989 article-title: Modeling Co‐Occurrence of Northern Spotted and Barred Owls: Accounting for Detection Probability Differences publication-title: Biological Conservation – start-page: 245 year: 2013 end-page: 273 – volume: 2 start-page: 9 year: 1954 end-page: 65 article-title: An Outline of the Dynamics of Animal Populations publication-title: Australian Journal of Zoology – volume: 94 year: 2024 article-title: An Integrative Paradigm for Building Causal Knowledge publication-title: Ecological Monographs – volume: 46 start-page: 327 year: 1976 end-page: 354 article-title: Community Structure: A Neutral Model Analysis publication-title: Ecological Monographs – volume: 84 start-page: 2200 year: 2003 end-page: 2207 article-title: Estimating Site Occupancy, Colonization and Local Extinction Probabilities When a Species Is Not Detected with Certainty publication-title: Ecology – year: 1979 – year: 2018 – volume: 96 start-page: 16 year: 2015 end-page: 23 article-title: To Predict the Niche, Model Colonization and Extinction publication-title: Ecology – volume: 126 start-page: 1 year: 2016 end-page: 7 article-title: The Priority of Prediction in Ecological Understanding publication-title: Oikos – volume: 62 start-page: 67 year: 1992 end-page: 118 article-title: Modeling Survival and Testing Biological Hypotheses Using Marked Animals: A Unified Approach with Case Studies publication-title: Ecological Monographs – volume: 60 start-page: 1132 year: 1979 end-page: 1140 article-title: The Assembly of Species Communities: Chance or Competition? publication-title: Ecology – volume: 11 start-page: 1722 year: 2001 end-page: 1737 article-title: Inferring Process from Pattern: Can Territory Occupancy Provide Information about Life History Parameters? publication-title: Ecological Applications – year: 1982 – volume: 125 start-page: 1716 year: 2018 article-title: Randomised Controlled Trials – The Gold Standard for Effectiveness Research publication-title: BJOG: An International Journal of Obstetrics and Gynecology – volume: 183 start-page: 1727 year: 2020 end-page: 1745 article-title: Discovering Causal Structures in Bayesian Gaussian Directed Acyclic Graph Models publication-title: Journal of the Royal Statistical Society A – volume: 9 year: 2018 article-title: A Causal Partition of Trait Correlations: Using Graphical Models to Derive Statistical Models from Theoretical Language publication-title: Ecosphere – volume: 1 year: 2015 – volume: 118 year: 2021 article-title: Invader Removal Triggers Competitive Release in a Threatened Avian Predator publication-title: Proceedings of the National Academy of Sciences of the United States of America – year: 2008 – volume: 9 start-page: 289 year: 2022 end-page: 319 article-title: Granger Causality: A Review and Recent Advances publication-title: Annual Review of Statistics and Its Application – year: 1997 – volume: 62 start-page: 497 year: 2012 end-page: 502 article-title: Studying Biodiversity: Is a New Paradigm Really Needed? publication-title: BioScience – volume: 40 start-page: 106 year: 2011 article-title: Population Demography of Northern Spotted Owls: 1985‐2008 publication-title: Studies in Avian Biology – year: 1972 – volume: 37 start-page: 424 year: 1969 end-page: 438 article-title: Investigating Causal Relations by Econometric Models and Cross‐Spectral Methods publication-title: Econometrica – volume: 14 start-page: 2607 year: 2023 article-title: Clarifying the Effect of Biodiversity on Productivity in Natural Ecosystems with Longitudinal Data and Methods for Causal Inference publication-title: Nature Communications – volume: 61 start-page: 202 year: 1997 end-page: 216 article-title: Uncertainty and the Management of Mallard Harvests publication-title: Journal of Wildlife Management – volume: 288 year: 2021 article-title: A Biologist's Guide to Model Selection and Causal Inference publication-title: Proceedings of the Royal Society B: Biological Sciences – year: 2019 – start-page: 313 year: 2021 end-page: 328 – volume: 2 start-page: 441 year: 2015 end-page: 446 article-title: Effect of High Voltage Transmission Lines on Human Health, Plant Life, and Animal Activity publication-title: International Research Journal of Engineering and Technology (IRJET) – start-page: 297 year: 1984 end-page: 315 – volume: 10 start-page: 37 year: 1999 end-page: 48 article-title: Causal Diagrams for Epidemiologic Research publication-title: Epidemiology – volume: 52 start-page: 794 year: 1988 end-page: 798 article-title: Questionable Multivariate Statistical Inference in Wildlife Habitat and Community Studies publication-title: Journal of Wildlife Management – volume: 95 start-page: 265 year: 2014 end-page: 279 article-title: The Roles of Competition and Habitat in the Dynamics of Populations and Species Distributions publication-title: Ecology – volume: 38 start-page: 99 year: 1960 end-page: 113 article-title: Population Processes in the Vole and Their Relevance to General Theory publication-title: Canadian Journal of Zoology – volume: 118 start-page: 57 year: 2016 end-page: 116 article-title: The Effects of Habitat, Climate, and Barred Owls on Long‐Term Demography of Northern Spotted Owls publication-title: Condor – volume: 99 start-page: 812 year: 2018 end-page: 821 article-title: Inferring Species Interactions through Joint Mark–Recapture Analysis publication-title: Ecology – year: 2007 – volume: 12 year: 2021 article-title: Integrated Hierarchical Models to Inform Management of Transitional Habitat and the Recovery of a Habitat Specialist publication-title: Ecosphere – volume: 146 start-page: 347 year: 1964 end-page: 353 article-title: Strong Inference publication-title: Science – volume: 2 year: 2021 – volume: 93 start-page: 1953 year: 2012 end-page: 1966 article-title: Neighborhood and Habitat Effects on Vital Rates: Expansion of the Barred Owl in the Oregon Coast Ranges publication-title: Ecology – volume: 102 year: 2021 article-title: A Practical Guide to Selecting Models for Exploration, Inference and Prediction in Ecology publication-title: Ecology – volume: 58 start-page: 445 year: 1977 end-page: 449 article-title: Turnover Rates in Insular Biogeography: Effect of Immigration on Extinction publication-title: Ecology – volume: 80 start-page: 691 year: 2016 end-page: 707 article-title: Demographic Response of Northern Spotted Owls to Barred Owl Removal publication-title: Journal of Wildlife Management – year: 1992 – volume: 149 start-page: 109 year: 1986 end-page: 121 article-title: Statistics, Science and Technology publication-title: Journal of the Royal Statistical Society, Series A (General) – volume: 13 year: 2022a article-title: Utilizing Causal Diagrams Across Quasi‐Experimental Approaches publication-title: Ecosphere – volume: 61 start-page: 1007 year: 1997 end-page: 1015 article-title: Logic and Science in Wildlife Biology publication-title: Journal of Wildlife Management – volume: 118 year: 2021 article-title: Opinion: A Better Approach for Dealing with Reproducibility and Replicability in Science publication-title: Proceedings of the National Academy of Sciences of the United States of America – volume: 38 start-page: 469 year: 1997 end-page: 477 article-title: Model Selection: An Integral Part of Inference publication-title: Biometrics – volume: 36 start-page: 1141 year: 2021 end-page: 1152 article-title: Causal Assumptions and Causal Inference in Ecological Experiments publication-title: Trends in Ecology & Evolution – year: 2002 – year: 2006 – volume: 58 start-page: 277 year: 1988 end-page: 286 article-title: Polygynie du Cincle plongeur ( ) dans les cotes de Lorraine publication-title: L'Oiseau et Ia Revue Francaise d'Ornithologie – volume: 47 start-page: 893 year: 1983 end-page: 901 article-title: Density as a Misleading Indicator of Habitat Quality publication-title: Journal of Wildlife Management – year: 2023 – year: 1947 – volume: 2019 start-page: 924 year: 2019 end-page: 934 article-title: Causal Analysis in Control–Impact Ecological Studies with Observational Data publication-title: Methods in Ecology and Evolution – volume: 66 start-page: 688 year: 1974 end-page: 701 article-title: Estimating Causal Effects of Treatments in Randomized and Nonrandomized Studies publication-title: Journal of Educational Psychology – volume: 52 start-page: 64 year: 1982 end-page: 74 article-title: Examination of the “Null” Model of Connor and Simberloff for Species Co‐Occurrences on Islands publication-title: Oecologia – volume: 98 start-page: 75 year: 2001 end-page: 92 article-title: Causes as Probability Raisers of Processes publication-title: Journal of Philosophy – volume: 208 start-page: 145 year: 2007 end-page: 158 article-title: Application of Information Theory Methods to Food Web Reconstruction publication-title: Ecological Modelling – volume: 29 year: 2019 article-title: The Past and Future Roles of Competition and Habitat in the Rangewide Occupancy Dynamics of Northern Spotted Owls publication-title: Ecological Applications – start-page: 316 year: 1984 end-page: 331 – volume: 21 start-page: 2459 year: 2011 end-page: 2468 article-title: Transient Dynamics of Invasive Competition: Barred Owls, Spotted Owls, Habitat, and the Demons of Competition Present publication-title: Ecological Applications – ident: e_1_2_12_48_1 doi: 10.2307/2025310 – ident: e_1_2_12_19_1 doi: 10.1007/BF00349013 – ident: e_1_2_12_53_1 doi: 10.1016/j.biocon.2015.08.038 – ident: e_1_2_12_14_1 doi: 10.1515/9781400857081.316 – ident: e_1_2_12_47_1 doi: 10.2307/2937171 – ident: e_1_2_12_60_1 doi: 10.1073/pnas.2100769118 – ident: e_1_2_12_41_1 doi: 10.2307/3802429 – ident: e_1_2_12_63_1 doi: 10.1017/CBO9780511803161 – ident: e_1_2_12_4_1 doi: 10.1016/j.biocon.2009.07.028 – volume-title: Sampling Design and Statistical Methods for Environmental Biologists year: 1979 ident: e_1_2_12_34_1 – ident: e_1_2_12_54_1 doi: 10.1111/j.1365-2656.2012.02001.x – ident: e_1_2_12_81_1 doi: 10.2307/3802097 – ident: e_1_2_12_6_1 doi: 10.2307/1935620 – ident: e_1_2_12_59_1 doi: 10.1002/ece3.5836 – volume-title: Techniques for Wildlife Investigations year: 1992 ident: e_1_2_12_75_1 – ident: e_1_2_12_18_1 doi: 10.1038/s41467-023-37194-5 – ident: e_1_2_12_64_1 doi: 10.1126/science.146.3642.347 – ident: e_1_2_12_78_1 doi: 10.1890/1051-0761(2001)011[1722:IPFPCT]2.0.CO;2 – ident: e_1_2_12_36_1 doi: 10.1111/1471-0528.15199 – ident: e_1_2_12_61_1 doi: 10.1071/ZO9540009 – ident: e_1_2_12_67_1 doi: 10.2307/3800948 – ident: e_1_2_12_46_1 doi: 10.1098/rspb.2020.2815 – volume-title: Einstein. His Life and Universe year: 2007 ident: e_1_2_12_40_1 – ident: e_1_2_12_68_1 doi: 10.2307/3807913 – ident: e_1_2_12_55_1 doi: 10.1016/j.ecolmodel.2007.05.016 – ident: e_1_2_12_45_1 doi: 10.1111/2041-210X.13190 – volume: 80 start-page: 691 year: 2016 ident: e_1_2_12_21_1 article-title: Demographic Response of Northern Spotted Owls to Barred Owl Removal publication-title: Journal of Wildlife Management – ident: e_1_2_12_79_1 doi: 10.2307/3808148 – ident: e_1_2_12_13_1 doi: 10.2307/1936961 – ident: e_1_2_12_57_1 doi: 10.1093/oso/9780198838609.003.0019 – volume-title: Occupancy Modeling and Estimation year: 2018 ident: e_1_2_12_51_1 – ident: e_1_2_12_35_1 doi: 10.1097/00001648-199901000-00008 – volume-title: Using MARK – A Gentle Introduction year: 2024 ident: e_1_2_12_16_1 – ident: e_1_2_12_12_1 doi: 10.1139/z60-011 – volume-title: The Concept of Probability in the Mathematical Representation of Reality year: 2008 ident: e_1_2_12_66_1 – volume-title: The Design of Experiments year: 1947 ident: e_1_2_12_27_1 – volume-title: Analysis and Management of Animal Populations year: 2002 ident: e_1_2_12_82_1 – volume-title: Using MARK—A Gentle Introduction year: 2001 ident: e_1_2_12_15_1 – ident: e_1_2_12_32_1 doi: 10.1002/ecy.2962 – ident: e_1_2_12_86_1 doi: 10.1890/11-1709.1 – ident: e_1_2_12_44_1 doi: 10.1016/j.tree.2021.08.008 – ident: e_1_2_12_80_1 doi: 10.1073/pnas.2102859118 – ident: e_1_2_12_33_1 doi: 10.2307/1912791 – ident: e_1_2_12_39_1 doi: 10.1111/oik.03726 – ident: e_1_2_12_84_1 doi: 10.1002/ecy.2166 – ident: e_1_2_12_85_1 doi: 10.1890/14-1361.1 – volume: 6 start-page: 39 year: 2010 ident: e_1_2_12_62_1 article-title: Causal Inference publication-title: JMLR Workshop and Conference Proceedings – ident: e_1_2_12_70_1 doi: 10.2307/2678483 – ident: e_1_2_12_11_1 doi: 10.1086/607980 – volume-title: Model Selection and Multimodel Inference year: 2002 ident: e_1_2_12_8_1 – volume-title: PRESENCE 3.1 Software to Estimate Patch Occupancy and Related Parameters year: 2006 ident: e_1_2_12_38_1 – ident: e_1_2_12_87_1 doi: 10.1890/13-0012.1 – ident: e_1_2_12_58_1 doi: 10.1525/bio.2012.62.5.11 – ident: e_1_2_12_10_1 doi: 10.2307/1942257 – volume-title: Populations in a Seasonal Environment year: 1972 ident: e_1_2_12_29_1 – ident: e_1_2_12_9_1 doi: 10.1111/rssa.12550 – volume-title: Applied Hierarchical Modeling in Ecology year: 2015 ident: e_1_2_12_42_1 – volume-title: The Estimation of Animal Abundance and Related Parameters year: 1982 ident: e_1_2_12_71_1 – ident: e_1_2_12_72_1 doi: 10.1007/978-3-030-18187-1 – ident: e_1_2_12_56_1 doi: 10.2307/2981525 – volume-title: Conjectures and Refutations year: 1962 ident: e_1_2_12_65_1 – ident: e_1_2_12_74_1 doi: 10.1146/annurev-statistics-040120-010930 – ident: e_1_2_12_30_1 doi: 10.1515/9781400857081.297 – ident: e_1_2_12_31_1 doi: 10.1002/ecm.1628 – volume: 40 start-page: 106 year: 2011 ident: e_1_2_12_28_1 article-title: Population Demography of Northern Spotted Owls: 1985‐2008 publication-title: Studies in Avian Biology – volume: 58 start-page: 277 year: 1988 ident: e_1_2_12_52_1 article-title: Polygynie du Cincle plongeur (Cinclus cinclus) dans les cotes de Lorraine publication-title: L'Oiseau et Ia Revue Francaise d'Ornithologie – ident: e_1_2_12_22_1 doi: 10.1890/10-2142.1 – ident: e_1_2_12_2_1 doi: 10.1002/ecs2.4009 – ident: e_1_2_12_24_1 doi: 10.1002/ecs2.3306 – ident: e_1_2_12_26_1 doi: 10.1073/pnas.1805563115 – ident: e_1_2_12_69_1 doi: 10.1037/h0037350 – ident: e_1_2_12_7_1 doi: 10.2307/2530461 – ident: e_1_2_12_23_1 doi: 10.1650/CONDOR-15-24.1 – volume-title: Applied Hierarchical Modeling in Ecology year: 2021 ident: e_1_2_12_43_1 – ident: e_1_2_12_83_1 doi: 10.1002/eap.1861 – volume-title: The Ecological Detective. Confronting Models with Data year: 1997 ident: e_1_2_12_37_1 – ident: e_1_2_12_77_1 doi: 10.1002/ecy.3336 – volume: 2 start-page: 441 year: 2015 ident: e_1_2_12_5_1 article-title: Effect of High Voltage Transmission Lines on Human Health, Plant Life, and Animal Activity publication-title: International Research Journal of Engineering and Technology (IRJET) – ident: e_1_2_12_17_1 doi: 10.1002/ecs2.2422 – ident: e_1_2_12_73_1 doi: 10.4324/9781003143000 – ident: e_1_2_12_20_1 doi: 10.1073/pnas.1710231115 – ident: e_1_2_12_25_1 doi: 10.1007/978-94-007-6094-3_13 – ident: e_1_2_12_76_1 doi: 10.1126/science.1227079 – ident: e_1_2_12_3_1 doi: 10.1111/ele.14033 – volume-title: Bayesian Inference: With Ecological Applications year: 2009 ident: e_1_2_12_49_1 – ident: e_1_2_12_50_1 doi: 10.1890/02-3090 |
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| SubjectTerms | Animals Causality Causation directed acyclic graphs ecology Ecology - methods Ecosystem extinction Hypotheses Inference Models, Biological Prediction models Predictions predictive models Species extinction strength of inference study design System dynamics |
| Title | Predictive models are indeed useful for causal inference |
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