Matches in SemOpenAlex for { <https://semopenalex.org/work/W2790886762> ?p ?o ?g. }
- W2790886762 endingPage "1245" @default.
- W2790886762 startingPage "1233" @default.
- W2790886762 abstract "Abstract Ongoing ecosystem degradation and transformation are major threats to biodiversity. Measuring ecosystem change toward collapse relies on monitoring indicators that quantify key ecological processes. Yet little guidance is available on selection and use of indicators for ecosystem risk assessment. We reviewed indicator use in ecological studies of ecosystem collapse in marine pelagic and temperate forest ecosystems. We examined indicator‐selection methods, indicator types (geographic distribution, abiotic, biotic), methods of assessing multiple indicators, and temporal quality of time series. We compared how these factors were applied in the ecological studies with how they were applied in risk assessments by using the International Union for Conservation of Nature's Red List of Ecosystems (RLE), for which indicators are used to estimate risk of ecosystem collapse. Ecological studies and RLE assessments rarely reported how indicators were selected, particularly in terrestrial ecosystems. Few ecological studies and RLE assessments quantified ecosystem change based on all 3 indicator types, and indicators types used differed between marine and terrestrial ecosystems. Several studies used indices or multivariate analyses to assess multiple indicators simultaneously, but RLE assessments did not because as RLE guidelines advise against them. Most studies and RLE assessments used time‐series data that spanned at least 30 years, which increases the probability of reliably detecting change. Limited use of indicator‐selection protocols and infrequent use of all 3 indicator types may hamper accurate detection of change. To improve the value of risk assessments for informing policy and management, we recommend using explicit protocols, including conceptual models, to identify and select indicators; a range of indicators spanning distributional, abiotic, and biotic features; indices and multivariate analyses with extreme care until guidelines are developed; time series with sufficient data to increase ability to accurately diagnose directional change; data from multiple sources to support assessments; and explicitly reporting steps in the assessment process." @default.
- W2790886762 created "2018-03-29" @default.
- W2790886762 creator A5007091216 @default.
- W2790886762 creator A5019075911 @default.
- W2790886762 creator A5036172436 @default.
- W2790886762 creator A5062117667 @default.
- W2790886762 creator A5070922858 @default.
- W2790886762 creator A5087836471 @default.
- W2790886762 date "2018-07-04" @default.
- W2790886762 modified "2023-09-25" @default.
- W2790886762 title "Selecting and applying indicators of ecosystem collapse for risk assessments" @default.
- W2790886762 cites W1482319075 @default.
- W2790886762 cites W1494588822 @default.
- W2790886762 cites W1531311371 @default.
- W2790886762 cites W1542400223 @default.
- W2790886762 cites W1544870682 @default.
- W2790886762 cites W1575850271 @default.
- W2790886762 cites W1598122236 @default.
- W2790886762 cites W1942653162 @default.
- W2790886762 cites W1964823943 @default.
- W2790886762 cites W1968283375 @default.
- W2790886762 cites W1972186280 @default.
- W2790886762 cites W1978559453 @default.
- W2790886762 cites W1998345261 @default.
- W2790886762 cites W1998566943 @default.
- W2790886762 cites W2012820235 @default.
- W2790886762 cites W2018205127 @default.
- W2790886762 cites W2031986520 @default.
- W2790886762 cites W2039691033 @default.
- W2790886762 cites W2041368252 @default.
- W2790886762 cites W2048992878 @default.
- W2790886762 cites W2067804762 @default.
- W2790886762 cites W2081616166 @default.
- W2790886762 cites W2095054126 @default.
- W2790886762 cites W2102765796 @default.
- W2790886762 cites W2105808372 @default.
- W2790886762 cites W2109132090 @default.
- W2790886762 cites W2111830993 @default.
- W2790886762 cites W2120830385 @default.
- W2790886762 cites W2127032204 @default.
- W2790886762 cites W2128914913 @default.
- W2790886762 cites W2132391747 @default.
- W2790886762 cites W2137839725 @default.
- W2790886762 cites W2141999689 @default.
- W2790886762 cites W2147208759 @default.
- W2790886762 cites W2148111021 @default.
- W2790886762 cites W2148152210 @default.
- W2790886762 cites W2149567119 @default.
- W2790886762 cites W2149876375 @default.
- W2790886762 cites W2154185357 @default.
- W2790886762 cites W2154449461 @default.
- W2790886762 cites W2155429509 @default.
- W2790886762 cites W2164948525 @default.
- W2790886762 cites W2166583475 @default.
- W2790886762 cites W2322750819 @default.
- W2790886762 cites W2404474129 @default.
- W2790886762 cites W2413935627 @default.
- W2790886762 cites W2511382731 @default.
- W2790886762 cites W2552887249 @default.
- W2790886762 cites W2570922310 @default.
- W2790886762 cites W2574788168 @default.
- W2790886762 cites W2586127133 @default.
- W2790886762 cites W2598910238 @default.
- W2790886762 cites W2617908299 @default.
- W2790886762 cites W2728955519 @default.
- W2790886762 cites W2734337723 @default.
- W2790886762 cites W2741638098 @default.
- W2790886762 cites W2753977309 @default.
- W2790886762 cites W2769675550 @default.
- W2790886762 cites W2772435389 @default.
- W2790886762 cites W2782982794 @default.
- W2790886762 cites W4249671859 @default.
- W2790886762 cites W4294215472 @default.
- W2790886762 doi "https://doi.org/10.1111/cobi.13107" @default.
- W2790886762 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29528525" @default.
- W2790886762 hasPublicationYear "2018" @default.
- W2790886762 type Work @default.
- W2790886762 sameAs 2790886762 @default.
- W2790886762 citedByCount "27" @default.
- W2790886762 countsByYear W27908867622018 @default.
- W2790886762 countsByYear W27908867622019 @default.
- W2790886762 countsByYear W27908867622020 @default.
- W2790886762 countsByYear W27908867622021 @default.
- W2790886762 countsByYear W27908867622022 @default.
- W2790886762 countsByYear W27908867622023 @default.
- W2790886762 crossrefType "journal-article" @default.
- W2790886762 hasAuthorship W2790886762A5007091216 @default.
- W2790886762 hasAuthorship W2790886762A5019075911 @default.
- W2790886762 hasAuthorship W2790886762A5036172436 @default.
- W2790886762 hasAuthorship W2790886762A5062117667 @default.
- W2790886762 hasAuthorship W2790886762A5070922858 @default.
- W2790886762 hasAuthorship W2790886762A5087836471 @default.
- W2790886762 hasBestOaLocation W27908867621 @default.
- W2790886762 hasConcept C107826830 @default.
- W2790886762 hasConcept C110872660 @default.
- W2790886762 hasConcept C130217890 @default.
- W2790886762 hasConcept C132215390 @default.
- W2790886762 hasConcept C132651083 @default.