Quantifying reliability and data deficiency in global vertebrate population trends using the Living Planet Index
Global biodiversity is facing a crisis, which must be solved through effective policies and on‐the‐ground conservation. But governments, NGOs, and scientists need reliable indicators to guide research, conservation actions, and policy decisions. Developing reliable indicators is challenging because...
Gespeichert in:
| Veröffentlicht in: | Global change biology Jg. 29; H. 17; S. 4966 - 4982 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
England
Blackwell Publishing Ltd
01.09.2023
|
| Schlagworte: | |
| ISSN: | 1354-1013, 1365-2486, 1365-2486 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | Global biodiversity is facing a crisis, which must be solved through effective policies and on‐the‐ground conservation. But governments, NGOs, and scientists need reliable indicators to guide research, conservation actions, and policy decisions. Developing reliable indicators is challenging because the data underlying those tools is incomplete and biased. For example, the Living Planet Index tracks the changing status of global vertebrate biodiversity, but taxonomic, geographic and temporal gaps and biases are present in the aggregated data used to calculate trends. However, without a basis for real‐world comparison, there is no way to directly assess an indicator's accuracy or reliability. Instead, a modelling approach can be used. We developed a model of trend reliability, using simulated datasets as stand‐ins for the “real world”, degraded samples as stand‐ins for indicator datasets (e.g., the Living Planet Database), and a distance measure to quantify reliability by comparing partially sampled to fully sampled trends. The model revealed that the proportion of species represented in the database is not always indicative of trend reliability. Important factors are the number and length of time series, as well as their mean growth rates and variance in their growth rates, both within and between time series. We found that many trends in the Living Planet Index need more data to be considered reliable, particularly trends across the global south. In general, bird trends are the most reliable, while reptile and amphibian trends are most in need of additional data. We simulated three different solutions for reducing data deficiency, and found that collating existing data (where available) is the most efficient way to improve trend reliability, whereas revisiting previously studied populations is a quick and efficient way to improve trend reliability until new long‐term studies can be completed and made available.
Global biodiversity indicators provide vital information about the changing state of global biodiversity to guide research, conservation actions, and policy decisions. However, little is known about how gaps and biases in the underlying data affect their accuracy or reliability. We developed a model of trend accuracy based on properties of biodiversity time series data and used it to quantitatively assess the reliability of trends in the Living Planet Index. Our results suggest that many trends need more data to be considered reliable, particularly reptile and amphibian trends, and trends across the global south. |
|---|---|
| AbstractList | Global biodiversity is facing a crisis, which must be solved through effective policies and on‐the‐ground conservation. But governments, NGOs, and scientists need reliable indicators to guide research, conservation actions, and policy decisions. Developing reliable indicators is challenging because the data underlying those tools is incomplete and biased. For example, the Living Planet Index tracks the changing status of global vertebrate biodiversity, but taxonomic, geographic and temporal gaps and biases are present in the aggregated data used to calculate trends. However, without a basis for real‐world comparison, there is no way to directly assess an indicator's accuracy or reliability. Instead, a modelling approach can be used. We developed a model of trend reliability, using simulated datasets as stand‐ins for the “real world”, degraded samples as stand‐ins for indicator datasets (e.g., the Living Planet Database), and a distance measure to quantify reliability by comparing partially sampled to fully sampled trends. The model revealed that the proportion of species represented in the database is not always indicative of trend reliability. Important factors are the number and length of time series, as well as their mean growth rates and variance in their growth rates, both within and between time series. We found that many trends in the Living Planet Index need more data to be considered reliable, particularly trends across the global south. In general, bird trends are the most reliable, while reptile and amphibian trends are most in need of additional data. We simulated three different solutions for reducing data deficiency, and found that collating existing data (where available) is the most efficient way to improve trend reliability, whereas revisiting previously studied populations is a quick and efficient way to improve trend reliability until new long‐term studies can be completed and made available. Global biodiversity is facing a crisis, which must be solved through effective policies and on‐the‐ground conservation. But governments, NGOs, and scientists need reliable indicators to guide research, conservation actions, and policy decisions. Developing reliable indicators is challenging because the data underlying those tools is incomplete and biased. For example, the Living Planet Index tracks the changing status of global vertebrate biodiversity, but taxonomic, geographic and temporal gaps and biases are present in the aggregated data used to calculate trends. However, without a basis for real‐world comparison, there is no way to directly assess an indicator's accuracy or reliability. Instead, a modelling approach can be used. We developed a model of trend reliability, using simulated datasets as stand‐ins for the “real world”, degraded samples as stand‐ins for indicator datasets (e.g., the Living Planet Database), and a distance measure to quantify reliability by comparing partially sampled to fully sampled trends. The model revealed that the proportion of species represented in the database is not always indicative of trend reliability. Important factors are the number and length of time series, as well as their mean growth rates and variance in their growth rates, both within and between time series. We found that many trends in the Living Planet Index need more data to be considered reliable, particularly trends across the global south. In general, bird trends are the most reliable, while reptile and amphibian trends are most in need of additional data. We simulated three different solutions for reducing data deficiency, and found that collating existing data (where available) is the most efficient way to improve trend reliability, whereas revisiting previously studied populations is a quick and efficient way to improve trend reliability until new long‐term studies can be completed and made available. Global biodiversity indicators provide vital information about the changing state of global biodiversity to guide research, conservation actions, and policy decisions. However, little is known about how gaps and biases in the underlying data affect their accuracy or reliability. We developed a model of trend accuracy based on properties of biodiversity time series data and used it to quantitatively assess the reliability of trends in the Living Planet Index. Our results suggest that many trends need more data to be considered reliable, particularly reptile and amphibian trends, and trends across the global south. Global biodiversity is facing a crisis, which must be solved through effective policies and on-the-ground conservation. But governments, NGOs, and scientists need reliable indicators to guide research, conservation actions, and policy decisions. Developing reliable indicators is challenging because the data underlying those tools is incomplete and biased. For example, the Living Planet Index tracks the changing status of global vertebrate biodiversity, but taxonomic, geographic and temporal gaps and biases are present in the aggregated data used to calculate trends. However, without a basis for real-world comparison, there is no way to directly assess an indicator's accuracy or reliability. Instead, a modelling approach can be used. We developed a model of trend reliability, using simulated datasets as stand-ins for the "real world", degraded samples as stand-ins for indicator datasets (e.g., the Living Planet Database), and a distance measure to quantify reliability by comparing partially sampled to fully sampled trends. The model revealed that the proportion of species represented in the database is not always indicative of trend reliability. Important factors are the number and length of time series, as well as their mean growth rates and variance in their growth rates, both within and between time series. We found that many trends in the Living Planet Index need more data to be considered reliable, particularly trends across the global south. In general, bird trends are the most reliable, while reptile and amphibian trends are most in need of additional data. We simulated three different solutions for reducing data deficiency, and found that collating existing data (where available) is the most efficient way to improve trend reliability, whereas revisiting previously studied populations is a quick and efficient way to improve trend reliability until new long-term studies can be completed and made available.Global biodiversity is facing a crisis, which must be solved through effective policies and on-the-ground conservation. But governments, NGOs, and scientists need reliable indicators to guide research, conservation actions, and policy decisions. Developing reliable indicators is challenging because the data underlying those tools is incomplete and biased. For example, the Living Planet Index tracks the changing status of global vertebrate biodiversity, but taxonomic, geographic and temporal gaps and biases are present in the aggregated data used to calculate trends. However, without a basis for real-world comparison, there is no way to directly assess an indicator's accuracy or reliability. Instead, a modelling approach can be used. We developed a model of trend reliability, using simulated datasets as stand-ins for the "real world", degraded samples as stand-ins for indicator datasets (e.g., the Living Planet Database), and a distance measure to quantify reliability by comparing partially sampled to fully sampled trends. The model revealed that the proportion of species represented in the database is not always indicative of trend reliability. Important factors are the number and length of time series, as well as their mean growth rates and variance in their growth rates, both within and between time series. We found that many trends in the Living Planet Index need more data to be considered reliable, particularly trends across the global south. In general, bird trends are the most reliable, while reptile and amphibian trends are most in need of additional data. We simulated three different solutions for reducing data deficiency, and found that collating existing data (where available) is the most efficient way to improve trend reliability, whereas revisiting previously studied populations is a quick and efficient way to improve trend reliability until new long-term studies can be completed and made available. |
| Author | Freeman, Robin Böhm, Monika McRae, Louise Murrell, David J. Dove, Shawn |
| Author_xml | – sequence: 1 givenname: Shawn orcidid: 0000-0001-9465-5638 surname: Dove fullname: Dove, Shawn email: s.dove@ucl.ac.uk organization: Institute of Zoology, Zoological Society of London – sequence: 2 givenname: Monika surname: Böhm fullname: Böhm, Monika organization: Global Center for Species Survival, Indianapolis Zoo – sequence: 3 givenname: Robin surname: Freeman fullname: Freeman, Robin organization: Institute of Zoology, Zoological Society of London – sequence: 4 givenname: Louise orcidid: 0000-0003-1076-0874 surname: McRae fullname: McRae, Louise organization: Institute of Zoology, Zoological Society of London – sequence: 5 givenname: David J. orcidid: 0000-0002-4830-8966 surname: Murrell fullname: Murrell, David J. email: d.murrell@ucl.ac.uk organization: University College London |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37376728$$D View this record in MEDLINE/PubMed |
| BookMark | eNqNkUtv1DAUhS3Uij5gwR9AltjAIq0fiW2WdNSWSiMVJFhbTnI9uPI4wXZK8-_rdKabCiS8uXfxnWP7nBN0EIYACL2j5IyWc77p2jMqVE1foWPKRVOxWomDZW_qihLKj9BJSneEEM6IeI2OuORSSKaO0fh9MiE7O7uwwRG8M63zLs_YhB73Jhvcg3Wdg9DN2AW88UNrPL6HmKGNJgMeh3HyJrsh4Bwh9AlPaTHLvwCv3f2yfvMmQMY3oYeHN-jQGp_g7X6eop9Xlz9WX6v17fXN6su66mpGaUVbWQbtWwuCc6ooty0QApxJ2gCj1jZGKDCdFSCAGEIZJ2BtL0DJ3ih-ij7ufMc4_J4gZb11qQO_PGWYkmZKScFrWbP_QDkpaRHyuaAfXqB3wxRD-Uih6po0vJHL3e_31NRuoddjdFsTZ_0cewHOd0AXh5QiWN25_JRhjsZ5TYleitWlWP1UbFF8eqF4Nv0bu3f_4zzM_wb19epip3gElHKxvQ |
| CitedBy_id | crossref_primary_10_1111_ele_70177 crossref_primary_10_1111_oik_10732 crossref_primary_10_1088_1748_9326_add02d crossref_primary_10_1002_2688_8319_70113 crossref_primary_10_1016_j_marenvres_2024_106556 crossref_primary_10_1038_s41467_024_49070_x crossref_primary_10_1111_acv_70014 |
| Cites_doi | 10.1038/s41598‐020‐63367‐z 10.1007/978-3-319-24277-4 10.1371/journal.pbio.1001127 10.1177/194008290800100202 10.1670/17‐076 10.1016/j.biocon.2016.07.014 10.1111/j.1523‐1739.2007.00830.x 10.1016/j.ecolind.2016.06.022 10.1093/genetics/164.3.1139 10.1016/j.biocon.2020.108421 10.1111/conl.12159 10.1111/j.2041‐210X.2010.00041.x 10.1098/rstb.2004.1583 10.1073/pnas.1704949114 10.1371/journal.pone.0001124 10.1038/ncomms9221 10.1111/j.1755‐263X.2008.00009.x 10.1101/2022.05.11.491333 10.2193/2009‐331 10.7287/peerj.preprints.2214v2 10.1111/conl.12703 10.1038/s41586‐021‐04165‐z 10.1038/s41586‐021‐03708‐8 10.1016/j.biocon.2016.09.005 10.1007/978-4-431-99495-4_14 10.1111/j.1467‐2979.2008.00275.x 10.1371/journal.pone.0263314 10.1098/rstb.2004.1584 10.1111/j.1523‐1739.2008.01117.x 10.1890/11-0132.1 10.1371/journal.pbio.1000385 10.1038/s41559‐019‐0826‐1 10.1002/sim.4509 10.1038/s41893‐018‐0130‐0 10.1038/s41586‐020‐2920‐6 10.1111/cobi.13476 10.1038/s41559‐021‐01494‐0 10.1111/cobi.12397 10.1016/j.ecolind.2019.04.064 10.1371/journal.pone.0154902 10.1111/2041‐210X.13302 10.1002/ecy.3040 10.1146/annurev‐ecolsys‐112414‐054400 10.1111/ecog.06604 10.1371/journal.pone.0169156 10.1371/journal.pbio.3001336 10.1016/j.biocon.2019.04.023 10.1038/s41586‐021‐04179‐7 |
| ContentType | Journal Article |
| Copyright | 2023 The Authors. published by John Wiley & Sons Ltd. 2023 The Authors. Global Change Biology published by John Wiley & Sons Ltd. 2023. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: 2023 The Authors. published by John Wiley & Sons Ltd. – notice: 2023 The Authors. Global Change Biology published by John Wiley & Sons Ltd. – notice: 2023. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | 24P AAYXX CITATION NPM 7SN 7UA C1K F1W H97 L.G 7X8 7S9 L.6 |
| DOI | 10.1111/gcb.16841 |
| DatabaseName | Wiley Online Library Open Access CrossRef PubMed Ecology Abstracts Water Resources Abstracts Environmental Sciences and Pollution Management ASFA: Aquatic Sciences and Fisheries Abstracts Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality Aquatic Science & Fisheries Abstracts (ASFA) Professional MEDLINE - Academic AGRICOLA AGRICOLA - Academic |
| DatabaseTitle | CrossRef PubMed Aquatic Science & Fisheries Abstracts (ASFA) Professional Ecology Abstracts Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality ASFA: Aquatic Sciences and Fisheries Abstracts Water Resources Abstracts Environmental Sciences and Pollution Management MEDLINE - Academic AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | CrossRef AGRICOLA MEDLINE - Academic Aquatic Science & Fisheries Abstracts (ASFA) Professional PubMed |
| Database_xml | – sequence: 1 dbid: 24P name: Wiley-Blackwell Open Access Collection url: https://authorservices.wiley.com/open-science/open-access/browse-journals.html sourceTypes: Publisher – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Meteorology & Climatology Biology Environmental Sciences |
| EISSN | 1365-2486 |
| EndPage | 4982 |
| ExternalDocumentID | 37376728 10_1111_gcb_16841 GCB16841 |
| Genre | researchArticle Journal Article |
| GrantInformation_xml | – fundername: H2020 Marie Skłodowska‐Curie Actions funderid: 766417 – fundername: H2020 Marie Skłodowska-Curie Actions grantid: 766417 |
| GroupedDBID | -DZ .3N .GA .Y3 05W 0R~ 10A 1OB 1OC 24P 29I 31~ 33P 3SF 4.4 50Y 50Z 51W 51X 52M 52N 52O 52P 52S 52T 52U 52W 52X 53G 5GY 5HH 5LA 5VS 66C 702 7PT 8-0 8-1 8-3 8-4 8-5 8UM 930 A03 AAESR AAEVG AAHBH AAHHS AAHQN AAMNL AANHP AANLZ AAONW AASGY AAXRX AAYCA AAZKR ABCQN ABCUV ABEFU ABEML ABJNI ABPVW ACAHQ ACBWZ ACCFJ ACCZN ACGFS ACPOU ACPRK ACRPL ACSCC ACXBN ACXQS ACYXJ ADBBV ADEOM ADIZJ ADKYN ADMGS ADNMO ADOZA ADXAS ADZMN ADZOD AEEZP AEIGN AEIMD AENEX AEQDE AEUQT AEUYR AFBPY AFEBI AFFPM AFGKR AFPWT AFRAH AFWVQ AFZJQ AHBTC AHEFC AITYG AIURR AIWBW AJBDE AJXKR ALAGY ALMA_UNASSIGNED_HOLDINGS ALUQN ALVPJ AMBMR AMYDB ASPBG ATUGU AUFTA AVWKF AZBYB AZFZN AZVAB BAFTC BDRZF BFHJK BHBCM BMNLL BMXJE BNHUX BROTX BRXPI BY8 C45 CAG COF CS3 D-E D-F DC6 DCZOG DDYGU DPXWK DR2 DRFUL DRSTM DU5 EBS ECGQY EJD ESX F00 F01 F04 FEDTE FZ0 G-S G.N GODZA H.T H.X HF~ HGLYW HVGLF HZI HZ~ IHE IX1 J0M K48 LATKE LC2 LC3 LEEKS LH4 LITHE LOXES LP6 LP7 LUTES LW6 LYRES MEWTI MK4 MRFUL MRSTM MSFUL MSSTM MXFUL MXSTM N04 N05 N9A NF~ O66 O9- OIG OVD P2P P2W P2X P4D PALCI PQQKQ Q.N Q11 QB0 R.K RIWAO RJQFR ROL RX1 SAMSI SUPJJ TEORI UB1 UQL VOH W8V W99 WBKPD WIH WIK WNSPC WOHZO WQJ WRC WUP WXSBR WYISQ XG1 Y6R ZZTAW ~02 ~IA ~KM ~WT AAMMB AAYXX AEFGJ AEYWJ AGHNM AGQPQ AGXDD AGYGG AIDQK AIDYY AIQQE CITATION O8X NPM 7SN 7UA C1K F1W H97 L.G 7X8 7S9 L.6 |
| ID | FETCH-LOGICAL-c4211-1b72111dbfe6331813fbe00e32715e21ff5a68eacf6e6e0a01230effd6e87da83 |
| IEDL.DBID | 24P |
| ISICitedReferencesCount | 10 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001021045900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1354-1013 1365-2486 |
| IngestDate | Fri Jul 11 18:35:50 EDT 2025 Sun Nov 09 14:41:40 EST 2025 Mon Nov 10 03:00:20 EST 2025 Thu Apr 03 07:03:02 EDT 2025 Sat Nov 29 06:02:42 EST 2025 Tue Nov 18 22:18:30 EST 2025 Wed Jan 22 16:19:29 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 17 |
| Keywords | biodiversity indicators Living Planet Index biodiversity trends indicator accuracy indicator reliability global biodiversity monitoring biodiversity data data deficiency indicator testing |
| Language | English |
| License | Attribution 2023 The Authors. Global Change Biology published by John Wiley & Sons Ltd. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c4211-1b72111dbfe6331813fbe00e32715e21ff5a68eacf6e6e0a01230effd6e87da83 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ORCID | 0000-0002-4830-8966 0000-0001-9465-5638 0000-0003-1076-0874 |
| OpenAccessLink | https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fgcb.16841 |
| PMID | 37376728 |
| PQID | 2844053578 |
| PQPubID | 30327 |
| PageCount | 17 |
| ParticipantIDs | proquest_miscellaneous_2887634742 proquest_miscellaneous_2830672009 proquest_journals_2844053578 pubmed_primary_37376728 crossref_citationtrail_10_1111_gcb_16841 crossref_primary_10_1111_gcb_16841 wiley_primary_10_1111_gcb_16841_GCB16841 |
| PublicationCentury | 2000 |
| PublicationDate | September 2023 |
| PublicationDateYYYYMMDD | 2023-09-01 |
| PublicationDate_xml | – month: 09 year: 2023 text: September 2023 |
| PublicationDecade | 2020 |
| PublicationPlace | England |
| PublicationPlace_xml | – name: England – name: Oxford |
| PublicationTitle | Global change biology |
| PublicationTitleAlternate | Glob Chang Biol |
| PublicationYear | 2023 |
| Publisher | Blackwell Publishing Ltd |
| Publisher_xml | – name: Blackwell Publishing Ltd |
| References | 2020; 242 2019; 10 2023; 2023 2008; 9 2020; 13 2016; 70 2020; 10 2008; 1 2017; 114 2015; 46 2010; 1 2018; 1 2019; 235 2007; 4 2007; 2 2007; 21 2022; 601 2012; 22 2010; 74 2003; 164 2010; 8 2009; 23 2021; 5 2015; 6 2019; 3 2012 2011 2020; 588 2019; 103 2006 2020; 101 2020; 34 1992 2017; 213 2012; 31 2016; 11 2011; 9 2005; 360 2015; 29 2023 2022 2021 2020 2017; 12 2021; 19 2016 2018; 52 2014 2022; 17 2016; 9 e_1_2_8_28_1 e_1_2_8_24_1 e_1_2_8_47_1 e_1_2_8_26_1 e_1_2_8_49_1 e_1_2_8_3_1 e_1_2_8_5_1 e_1_2_8_7_1 Cha S.‐H. (e_1_2_8_9_1) 2007; 4 e_1_2_8_20_1 e_1_2_8_43_1 e_1_2_8_45_1 e_1_2_8_41_1 e_1_2_8_17_1 e_1_2_8_19_1 e_1_2_8_13_1 Fryxell J. M. (e_1_2_8_16_1) 2014 e_1_2_8_36_1 e_1_2_8_59_1 e_1_2_8_15_1 e_1_2_8_38_1 e_1_2_8_57_1 e_1_2_8_32_1 e_1_2_8_55_1 e_1_2_8_11_1 e_1_2_8_34_1 e_1_2_8_53_1 e_1_2_8_51_1 Israel G. D. (e_1_2_8_21_1) 1992 e_1_2_8_30_1 e_1_2_8_29_1 e_1_2_8_25_1 e_1_2_8_27_1 R Core Team (e_1_2_8_46_1) 2021 e_1_2_8_2_1 e_1_2_8_4_1 e_1_2_8_6_1 e_1_2_8_8_1 e_1_2_8_42_1 e_1_2_8_23_1 e_1_2_8_44_1 e_1_2_8_40_1 RStudio Team (e_1_2_8_48_1) 2022 e_1_2_8_18_1 e_1_2_8_39_1 IUCN (e_1_2_8_22_1) 2012 e_1_2_8_14_1 e_1_2_8_35_1 e_1_2_8_37_1 e_1_2_8_58_1 e_1_2_8_10_1 e_1_2_8_31_1 e_1_2_8_56_1 e_1_2_8_12_1 e_1_2_8_33_1 e_1_2_8_54_1 e_1_2_8_52_1 e_1_2_8_50_1 |
| References_xml | – volume: 101 issue: 7 year: 2020 article-title: Effect of time series length and resolution on abundance‐ and trait‐based early warning signals of population declines publication-title: Ecology – volume: 601 start-page: E27 year: 2022 end-page: E28 article-title: Do not downplay biodiversity loss publication-title: Nature – volume: 10 issue: 1 year: 2020 article-title: Identification errors in camera‐trap studies result in systematic population overestimation publication-title: Scientific Reports – volume: 8 issue: 6 year: 2010 article-title: Distorted views of biodiversity: Spatial and temporal bias in species occurrence data publication-title: PLoS Biology – year: 2021 – volume: 70 start-page: 317 year: 2016 end-page: 339 article-title: Linking earth observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives publication-title: Ecological Indicators – volume: 13 issue: 3 year: 2020 article-title: Accelerating the monitoring of global biodiversity: Revisiting the sampled approach to generating red list indices publication-title: Conservation Letters – volume: 74 start-page: 1311 issue: 6 year: 2010 end-page: 1318 article-title: Evaluating survey methods for monitoring a rare vertebrate, the Sonoran Desert tortoise publication-title: Journal of Wildlife Management – volume: 601 start-page: E14 year: 2022 end-page: E15 article-title: The Living Planet Index does not measure abundance publication-title: Nature – volume: 2023 issue: 3 year: 2023 article-title: The undetectability of global biodiversity trends using local species richness publication-title: Ecography – volume: 2 issue: 11 year: 2007 article-title: How global is the global biodiversity information facility? publication-title: PLoS One – year: 2014 – volume: 12 start-page: 1 issue: 1 year: 2017 end-page: 20 article-title: The diversity‐weighted Living Planet Index: Controlling for taxonomic bias in a global biodiversity indicator publication-title: PLoS One – volume: 1 start-page: 448 issue: 9 year: 2018 end-page: 451 article-title: Aiming higher to bend the curve of biodiversity loss publication-title: Nature Sustainability – volume: 9 start-page: 5 issue: 1 year: 2016 end-page: 13 article-title: Projecting global biodiversity indicators under future development scenarios publication-title: Conservation Letters – volume: 360 start-page: 255 issue: 1454 year: 2005 end-page: 268 article-title: Using red list indices to measure progress towards the 2010 target and beyond publication-title: Philosophical Transactions of the Royal Society B: Biological Sciences – volume: 9 start-page: 155 issue: 2 year: 2008 end-page: 168 article-title: Historical distribution of right whales in the North Pacific publication-title: Fish and Fisheries – volume: 3 start-page: 539 issue: 4 year: 2019 end-page: 551 article-title: Essential biodiversity variables for mapping and monitoring species populations publication-title: Nature Ecology and Evolution – volume: 235 start-page: 273 year: 2019 end-page: 278 article-title: Continental‐scale assessment reveals inadequate monitoring for threatened vertebrates in a megadiverse country publication-title: Biological Conservation – volume: 31 start-page: 2676 issue: 23 year: 2012 end-page: 2686 article-title: Classification accuracy and cut pointselection publication-title: Statistics in Medicine – volume: 242 year: 2020 article-title: Choice of baseline affects historical population trends in hunted mammals of North America publication-title: Biological Conservation – year: 2022 – volume: 52 start-page: 259 issue: 3 year: 2018 end-page: 268 article-title: Tracking global population trends: Population time‐series data and a Living Planet Index for reptiles publication-title: Journal of Herpetology – volume: 164 start-page: 1139 issue: 3 year: 2003 end-page: 1160 article-title: Estimation of population growth or decline in genetically monitored populations publication-title: Genetics – volume: 1 start-page: 75 issue: 2 year: 2008 end-page: 88 article-title: The tropical biodiversity data gap: Addressing disparity in global monitoring publication-title: Tropical Conservation Science – volume: 5 start-page: 1145 issue: 8 year: 2021 end-page: 1152 article-title: Random population fluctuations bias the Living Planet Index publication-title: Nature Ecology and Evolution – volume: 1 start-page: 18 issue: 1 year: 2008 end-page: 26 article-title: Toward monitoring global biodiversity publication-title: Conservation Letters – volume: 103 start-page: 676 year: 2019 end-page: 687 article-title: An analysis of trends, uncertainty and species selection shows contrasting trends of widespread forest and farmland birds in Europe publication-title: Ecological Indicators – volume: 10 start-page: 2067 issue: 12 year: 2019 end-page: 2078 article-title: When can we trust population trends? A method for quantifying the effects of sampling interval and duration publication-title: Methods in Ecology and Evolution – volume: 22 start-page: 374 issue: 1 year: 2012 end-page: 383 article-title: Assessment of monitoring power for highly mobile vertebrates publication-title: Ecological Applications – volume: 1 start-page: 389 issue: 4 year: 2010 end-page: 397 article-title: Estimating population size using capture–recapture encounter histories created from point‐coordinate locations of animals publication-title: Methods in Ecology and Evolution – start-page: 253 year: 2011 end-page: 263 – volume: 114 start-page: E6089 issue: 30 year: 2017 end-page: E6096 article-title: Biological annihilation via the ongoing sixth mass extinction signaled by vertebrate population losses and declines publication-title: Proceedings of the National Academy of Sciences of the United States of America – volume: 46 start-page: 523 year: 2015 end-page: 549 article-title: Seven shortfalls that beset large‐scale knowledge of biodiversity publication-title: Annual Review of Ecology, Evolution, and Systematics – volume: 213 start-page: 256 year: 2017 end-page: 263 article-title: Global biodiversity monitoring: From data sources to essential biodiversity variables publication-title: Biological Conservation – volume: 6 issue: 8221 year: 2015 article-title: Global priorities for an effective information basis of biodiversity distributions publication-title: Nature Communications – volume: 360 start-page: 289 issue: 1454 year: 2005 end-page: 295 article-title: The Living Planet Index: Using species population time series to track trends in biodiversity publication-title: Philosophical Transactions of the Royal Society B: Biological Sciences – volume: 19 issue: 8 year: 2021 article-title: Global and national trends, gaps, and opportunities in documenting and monitoring species distributions publication-title: PLoS Biology – year: 2016 – year: 1992 – volume: 4 start-page: 300 issue: 1 year: 2007 end-page: 307 article-title: Comprehensive survey on distance/similarity measures between probability density functions publication-title: International Journal of Mathematical Models and Methods in Applied Sciences – volume: 11 issue: 5 year: 2016 article-title: Practical bias correction in aerial surveys of large mammals: Validation of hybrid double‐observer with sightability method against known abundance of feral horse ( ) populations publication-title: PLoS One – volume: 601 start-page: E20 year: 2022 end-page: E22 article-title: Emphasizing declining populations in the living planet report publication-title: Nature – year: 2012 – volume: 9 issue: 8 year: 2011 article-title: How many species are there on earth and in the ocean? publication-title: PLoS Biology – volume: 34 start-page: 1281 issue: 5 year: 2020 end-page: 1291 article-title: Priority areas for conservation of and research focused on terrestrial vertebrates publication-title: Conservation Biology – volume: 213 start-page: 272 year: 2017 end-page: 279 article-title: Essential biodiversity variables for measuring change in global freshwater biodiversity publication-title: Biological Conservation – volume: 17 issue: 2 year: 2022 article-title: Road‐based line distance surveys overestimate densities of olive baboons publication-title: PLoS One – volume: 21 start-page: 1406 issue: 6 year: 2007 end-page: 1413 article-title: The 2010 biodiversity indicators: Challenges for science and policy publication-title: Conservation Biology – volume: 588 start-page: 267 issue: 7837 year: 2020 end-page: 271 article-title: Clustered versus catastrophic global vertebrate declines publication-title: Nature – volume: 23 start-page: 317 issue: 2 year: 2009 end-page: 327 article-title: Monitoring change in vertebrate abundance: The Living Planet Index publication-title: Conservation Biology – volume: 29 start-page: 350 issue: 2 year: 2015 end-page: 359 article-title: Ten ways remote sensing can contribute to conservation publication-title: Conservation Biology – year: 2006 – year: 2020 – year: 2023 – ident: e_1_2_8_24_1 doi: 10.1038/s41598‐020‐63367‐z – ident: e_1_2_8_57_1 doi: 10.1007/978-3-319-24277-4 – ident: e_1_2_8_14_1 – ident: e_1_2_8_39_1 doi: 10.1371/journal.pbio.1001127 – ident: e_1_2_8_11_1 doi: 10.1177/194008290800100202 – ident: e_1_2_8_49_1 doi: 10.1670/17‐076 – ident: e_1_2_8_44_1 doi: 10.1016/j.biocon.2016.07.014 – ident: e_1_2_8_33_1 doi: 10.1111/j.1523‐1739.2007.00830.x – ident: e_1_2_8_27_1 doi: 10.1016/j.ecolind.2016.06.022 – ident: e_1_2_8_4_1 doi: 10.1093/genetics/164.3.1139 – ident: e_1_2_8_12_1 doi: 10.1016/j.biocon.2020.108421 – ident: e_1_2_8_54_1 doi: 10.1111/conl.12159 – ident: e_1_2_8_35_1 doi: 10.1111/j.2041‐210X.2010.00041.x – volume-title: Fact sheet PEOD‐6 year: 1992 ident: e_1_2_8_21_1 – ident: e_1_2_8_7_1 doi: 10.1098/rstb.2004.1583 – ident: e_1_2_8_8_1 doi: 10.1073/pnas.1704949114 – volume-title: IUCN Red List categories and criteria: Version 3.1 year: 2012 ident: e_1_2_8_22_1 – ident: e_1_2_8_58_1 doi: 10.1371/journal.pone.0001124 – ident: e_1_2_8_15_1 – volume-title: RStudio: Integrated development environment for R year: 2022 ident: e_1_2_8_48_1 – ident: e_1_2_8_38_1 doi: 10.1038/ncomms9221 – ident: e_1_2_8_3_1 doi: 10.1111/j.1755‐263X.2008.00009.x – ident: e_1_2_8_13_1 doi: 10.1101/2022.05.11.491333 – ident: e_1_2_8_59_1 doi: 10.2193/2009‐331 – ident: e_1_2_8_36_1 doi: 10.7287/peerj.preprints.2214v2 – ident: e_1_2_8_18_1 doi: 10.1111/conl.12703 – ident: e_1_2_8_40_1 doi: 10.1038/s41586‐021‐04165‐z – ident: e_1_2_8_45_1 doi: 10.1038/s41586‐021‐03708‐8 – ident: e_1_2_8_52_1 doi: 10.1016/j.biocon.2016.09.005 – ident: e_1_2_8_41_1 doi: 10.1007/978-4-431-99495-4_14 – ident: e_1_2_8_25_1 doi: 10.1111/j.1467‐2979.2008.00275.x – ident: e_1_2_8_26_1 doi: 10.1371/journal.pone.0263314 – ident: e_1_2_8_30_1 doi: 10.1098/rstb.2004.1584 – ident: e_1_2_8_20_1 – ident: e_1_2_8_10_1 doi: 10.1111/j.1523‐1739.2008.01117.x – ident: e_1_2_8_56_1 doi: 10.1890/11-0132.1 – volume: 4 start-page: 300 issue: 1 year: 2007 ident: e_1_2_8_9_1 article-title: Comprehensive survey on distance/similarity measures between probability density functions publication-title: International Journal of Mathematical Models and Methods in Applied Sciences – ident: e_1_2_8_51_1 – ident: e_1_2_8_5_1 doi: 10.1371/journal.pbio.1000385 – ident: e_1_2_8_23_1 doi: 10.1038/s41559‐019‐0826‐1 – volume-title: R: A language and environment for statistical computing year: 2021 ident: e_1_2_8_46_1 – ident: e_1_2_8_29_1 doi: 10.1002/sim.4509 – ident: e_1_2_8_34_1 doi: 10.1038/s41893‐018‐0130‐0 – ident: e_1_2_8_28_1 doi: 10.1038/s41586‐020‐2920‐6 – ident: e_1_2_8_42_1 doi: 10.1111/cobi.13476 – ident: e_1_2_8_6_1 doi: 10.1038/s41559‐021‐01494‐0 – ident: e_1_2_8_47_1 doi: 10.1111/cobi.12397 – ident: e_1_2_8_17_1 doi: 10.1016/j.ecolind.2019.04.064 – ident: e_1_2_8_32_1 doi: 10.1371/journal.pone.0154902 – ident: e_1_2_8_55_1 doi: 10.1111/2041‐210X.13302 – ident: e_1_2_8_2_1 doi: 10.1002/ecy.3040 – ident: e_1_2_8_19_1 doi: 10.1146/annurev‐ecolsys‐112414‐054400 – ident: e_1_2_8_53_1 doi: 10.1111/ecog.06604 – ident: e_1_2_8_37_1 doi: 10.1371/journal.pone.0169156 – ident: e_1_2_8_43_1 doi: 10.1371/journal.pbio.3001336 – ident: e_1_2_8_50_1 doi: 10.1016/j.biocon.2019.04.023 – ident: e_1_2_8_31_1 doi: 10.1038/s41586‐021‐04179‐7 – volume-title: Wildlife ecology, conservation, and management year: 2014 ident: e_1_2_8_16_1 |
| SSID | ssj0003206 |
| Score | 2.479382 |
| Snippet | Global biodiversity is facing a crisis, which must be solved through effective policies and on‐the‐ground conservation. But governments, NGOs, and scientists... Global biodiversity is facing a crisis, which must be solved through effective policies and on-the-ground conservation. But governments, NGOs, and scientists... |
| SourceID | proquest pubmed crossref wiley |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 4966 |
| SubjectTerms | Amphibians Aquatic reptiles Biodiversity biodiversity data biodiversity indicators biodiversity trends birds Collating Conservation data collection data deficiency Data reduction Datasets global biodiversity monitoring global change Growth rate indicator accuracy indicator reliability indicator testing Indicators issues and policy Living Planet Index Planets Population studies Reliability Reliability aspects Reptiles Reptiles & amphibians Time series time series analysis Trends variance Vertebrates |
| Title | Quantifying reliability and data deficiency in global vertebrate population trends using the Living Planet Index |
| URI | https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fgcb.16841 https://www.ncbi.nlm.nih.gov/pubmed/37376728 https://www.proquest.com/docview/2844053578 https://www.proquest.com/docview/2830672009 https://www.proquest.com/docview/2887634742 |
| Volume | 29 |
| WOSCitedRecordID | wos001021045900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVWIB databaseName: Wiley Online Library Full Collection 2020 customDbUrl: eissn: 1365-2486 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0003206 issn: 1354-1013 databaseCode: DRFUL dateStart: 19970101 isFulltext: true titleUrlDefault: https://onlinelibrary.wiley.com providerName: Wiley-Blackwell |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3di9NAEB-OOwVf_KieRs9jFZF7iWQ_kt3ik9arCudxigd9C7vJ7lE40tKmwv33zmzS6OEHgi8lJVO6bGZmf5ud-f0AXmhcZCub6dSpIFNV5RhzhvO0LkTluR0Lk7soNqFPT81sNj7bgdfbXpiOH2J44UaREfM1Bbh165-C_KJyr3hhqGl9j3NpSLdBqLMhDUsRhTW5zBXmGi57WiEq4xl-en0x-gVhXgesccWZ3vmvsd6F2z3QZG86z7gHO74Zwc1OevJqBPvHPzrc0KwP8fUIkk8IoxeraMZessnlHDFt_HYflp83loqLqDWKrXBMHcn3FbNNzajWlNWeGCmonZPNG9axjTCSfKbz6daz5aAXxtpYjcuo8P6CIQxlJ3N6ucFIRsm37CPROD6A8-nx18mHtJdsSCslqDjO0Y6S1y74QmK64DI4n2VeCs1zL3gIuS0MJvtQ-MJnlhBd5kOoC290bY3ch91m0fhHwMbcVw5dLBjjlPG1I-RjTR4cglTr8wSOts-urHo-c5LVuCy3-xqc9TLOegLPB9NlR-LxO6ODrQOUfRyvS1y8FTHgaJPAs-E2RiAdq-BsLDZkQ9suOmX6mw0x_ymtRAIPO-caRiI1MeoI_Iej6EN_HmL5fvI2Xjz-d9MncEsgLuvK4g5gt11t_FO4UX1r5-vVYQwZ_NQzcwh7775Mz0--A8EuHG4 |
| linkProvider | Wiley-Blackwell |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3da9RAEB9Kq-iLH6fVaNVVRPqSkv1Isge-6Nmzxeuh0kLfwm6yWw5K7rjLCf3vndnkosUPBN8SMiHLZj5-uzvzG4DXOQbZ0iR5bJWXsSpTtDnNeVxlonTcDIVObWg2kU-n-vx8-HkL3m5qYVp-iH7DjSwj-GsycNqQ_snKL0p7wDNNVes7CtUI9Xvnw9fx2aT3xFKE3ppcpgrdDZcdsxBl8vQvX49Hv4DM65g1BJ3x3f8b7j2404FN9q7Vjvuw5eoB3GzbT14NYPfwR5UbinVmvhpAdIJQer4MYuwNG13OENeGuwew-LI2lGBE5VFsiYNqib6vmKkrRvmmrHLESkElnWxWs5ZxhFHbZzqjbhxb9D3DWBMychkl318whKJsMqMNDkatlFzDjonK8SGcjQ9PR0dx17YhLpWgBDlLq0peWe8yiS6DS29dkjgpcp46wb1PTabR4fvMZS4xhOoS532VOZ1XRstd2K7ntXsMbMhdaVHNvNZWaVdZQj9Gp94iUDUujWB_8_OKsuM0p9Yal8VmbYOzXoRZj-BVL7poiTx-J7S30YCis-VVgQFcEQtOriN42T9GK6SjFZyN-ZpkaOlFJ01_kyH2P5UrEcGjVrv6kcicWHUEfmE_KNGfh1h8HL0PF0_-XfQF3Do6PZkUk-Ppp6dwWyBOa9Pk9mC7Wa7dM7hRfmtmq-XzzoK-Azw7H2w |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3db9MwED9NHSBe-CgMAgMMQmgvQfFHElfiBboVJko1EJP2FtnJeao0pVWbIu2_x-ekgYkPIfGWKlfVcu_OP9t3vx_Ay9wvsqVJ8tgqJ2NVpj7mNOdxlYkSuRkJndogNpHPZvrsbHSyA2-2vTAtP0R_4EaREfI1BTguK_dTlJ-X9jXPNHWt7yoSkRnA7uGXyem0z8RSBG1NLlPl0w2XHbMQVfL0X766Hv0CMq9i1rDoTG7_33DvwK0ObLK3rXfchR2sh3C9lZ-8HMLe0Y8uN2_Whfl6CNEnD6UXq2DGXrHxxdzj2vDpHiw_bwwVGFF7FFv5QbVE35fM1BWjelNWIbFSUEsnm9esZRxhJPtMd9QNsmWvGcaaUJHLqPj-nHkoyqZzOuBgJKWEDTsmKsf7cDo5-jr-EHeyDXGpBBXIWdpV8so6zKRPGVw6i0mCUuQ8RcGdS02mfcJ3GWaYGEJ1CTpXZajzymi5B4N6UeNDYCOOpfVu5rS2SmNlCf0YnTrrgarBNIKD7Z9XlB2nOUlrXBTbvY2f9SLMegQvetNlS-TxO6P9rQcUXSyvC7-AK2LByXUEz_vXPgrpasXPxmJDNrT1opumv9kQ-5_KlYjgQetd_UhkTqw6wv_CQXCiPw-xeD9-Fx4e_bvpM7hxcjgppsezj4_hpvAwra2S24dBs9rgE7hWfmvm69XTLoC-A5m_Huc |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Quantifying+reliability+and+data+deficiency+in+global+vertebrate+population+trends+using+the+Living+Planet+Index&rft.jtitle=Global+change+biology&rft.au=Dove%2C+Shawn&rft.au=B%C3%B6hm%2C+Monika&rft.au=Freeman%2C+Robin&rft.au=McRae%2C+Louise&rft.date=2023-09-01&rft.pub=Blackwell+Publishing+Ltd&rft.issn=1354-1013&rft.eissn=1365-2486&rft.volume=29&rft.issue=17&rft.spage=4966&rft.epage=4982&rft_id=info:doi/10.1111%2Fgcb.16841&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1354-1013&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1354-1013&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1354-1013&client=summon |