{"doi":"10.1073/pnas.1505882112","title":"Sample and population exponents of generalized Taylor’s law","abstract":"<jats:title>Significance</jats:title>\n                  <jats:p>\n                    Taylor’s law (TL) has been verified very widely in the natural sciences, information technology, and finance. The widespread observation of TL suggests that a context-independent mechanism may be at work and stimulated the search for processes affecting the scaling of population fluctuations with population abundance. We show that limited sampling may explain why TL is often observed to have exponent\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" overflow=\"scroll\">\n                        <mml:mrow>\n                          <mml:mi>b</mml:mi>\n                          <mml:mo>=</mml:mo>\n                          <mml:mn>2</mml:mn>\n                        </mml:mrow>\n                      </mml:math>\n                    </jats:inline-formula>\n                    . Abrupt transitions in the TL exponent associated with smooth changes in the environment were recently discovered theoretically and comparable real-world transitions could harm fish populations, forests, and public health. Our study shows that limited sampling hinders the anticipation of such transitions and provides estimates for the number of samples required to reveal early warning signals of abrupt biotic change.\n                  </jats:p>","journal":"Proceedings of the National Academy of Sciences","year":2015,"id":39872,"datarank":3.218803170105657,"base_score":4.454347296253507,"endowment":4.454347296253507,"self_citation_contribution":0.6681520944380261,"citation_network_contribution":2.550651075667631,"self_endowment_contribution":0.6681520944380261,"citer_contribution":2.550651075667631,"corpus_percentile":null,"corpus_rank":null,"citation_count":85,"citer_count":72,"citers_with_citation_signal":59,"citers_with_endowment":59,"datacite_reuse_total":1,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":194817,"name":"Marco Formentin","orcid":null,"position":1,"is_corresponding":false},{"id":194818,"name":"Andrea Rinaldo","orcid":null,"position":2,"is_corresponding":false},{"id":194819,"name":"Joel E. 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