G. Copperthwaite , M.J. O’Connell , R. Berry , K. Lynch , R. Bennett
{"title":"用于支持生物多样性保护行动和政策的全球数据集的特征","authors":"G. Copperthwaite , M.J. O’Connell , R. Berry , K. Lynch , R. Bennett","doi":"10.1016/j.jnc.2025.127111","DOIUrl":null,"url":null,"abstract":"<div><div>Access to global datasets that describe the ‘state’ of biodiversity across all nation states, are essential to provide the means by which national and international conservation agencies and organisations can: (1) identify priorities, (2) focus limited financial resources, (3) develop and enhance legislative frameworks, (4) identify capacity needs, (5) evaluate progress and compliance in relation to commitments, and (6) support biodiversity-related research.</div><div>This paper reports on an evaluation of the characteristics of 336 open source global datasets in relation to whether a dataset: (1) includes ‘contemporary’ information less than five years old, (2) provides longitudinal, repeat-measure information, (3) contains missing data for one or more nation states, (4) has the ability to support trend analysis, (5) contains information on projected likely future conditions or state, and (6) requires operator extraction or manipulation prior to use.</div><div>Searches were conducted for global open source datasets via the internet and grey literature. A total of 336 datasets were identified and allocated into one of three broad thematic areas (biodiversity, the abiotic environment, and socio-economics), and further into 17 sub-areas.</div><div>Of the 336 datasets evaluated 37 % provided information that was more than five years out of date. Nearly a fifth of all datasets (18 %) provided only a ‘snap-shot’ information i.e. data that were not longitudinal, and trend analysis was not possible for 22 % of datasets. Only 5 % of the collated datasets provided information about future potential ‘state’, and 29 % had missing data (i.e. with one or more countries not providing information). In terms of the readiness for immediate use of the data, 11 % of the datasets required some form of post-access management.</div><div>Characterising available datasets is an essential element of supporting improvements to the information and evidence available for conservation practitioners. Our evaluation suggests that despite a range of important initiatives and national structural changes in the way data are collected, there is still some way to go before truly high utility data are available to the global conservation community.</div></div>","PeriodicalId":54898,"journal":{"name":"Journal for Nature Conservation","volume":"89 ","pages":"Article 127111"},"PeriodicalIF":2.5000,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characteristics of global datasets used to support biodiversity conservation action and policy\",\"authors\":\"G. Copperthwaite , M.J. O’Connell , R. Berry , K. Lynch , R. Bennett\",\"doi\":\"10.1016/j.jnc.2025.127111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Access to global datasets that describe the ‘state’ of biodiversity across all nation states, are essential to provide the means by which national and international conservation agencies and organisations can: (1) identify priorities, (2) focus limited financial resources, (3) develop and enhance legislative frameworks, (4) identify capacity needs, (5) evaluate progress and compliance in relation to commitments, and (6) support biodiversity-related research.</div><div>This paper reports on an evaluation of the characteristics of 336 open source global datasets in relation to whether a dataset: (1) includes ‘contemporary’ information less than five years old, (2) provides longitudinal, repeat-measure information, (3) contains missing data for one or more nation states, (4) has the ability to support trend analysis, (5) contains information on projected likely future conditions or state, and (6) requires operator extraction or manipulation prior to use.</div><div>Searches were conducted for global open source datasets via the internet and grey literature. A total of 336 datasets were identified and allocated into one of three broad thematic areas (biodiversity, the abiotic environment, and socio-economics), and further into 17 sub-areas.</div><div>Of the 336 datasets evaluated 37 % provided information that was more than five years out of date. Nearly a fifth of all datasets (18 %) provided only a ‘snap-shot’ information i.e. data that were not longitudinal, and trend analysis was not possible for 22 % of datasets. Only 5 % of the collated datasets provided information about future potential ‘state’, and 29 % had missing data (i.e. with one or more countries not providing information). In terms of the readiness for immediate use of the data, 11 % of the datasets required some form of post-access management.</div><div>Characterising available datasets is an essential element of supporting improvements to the information and evidence available for conservation practitioners. Our evaluation suggests that despite a range of important initiatives and national structural changes in the way data are collected, there is still some way to go before truly high utility data are available to the global conservation community.</div></div>\",\"PeriodicalId\":54898,\"journal\":{\"name\":\"Journal for Nature Conservation\",\"volume\":\"89 \",\"pages\":\"Article 127111\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal for Nature Conservation\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1617138125002882\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIODIVERSITY CONSERVATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal for Nature Conservation","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1617138125002882","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIODIVERSITY CONSERVATION","Score":null,"Total":0}
Characteristics of global datasets used to support biodiversity conservation action and policy
Access to global datasets that describe the ‘state’ of biodiversity across all nation states, are essential to provide the means by which national and international conservation agencies and organisations can: (1) identify priorities, (2) focus limited financial resources, (3) develop and enhance legislative frameworks, (4) identify capacity needs, (5) evaluate progress and compliance in relation to commitments, and (6) support biodiversity-related research.
This paper reports on an evaluation of the characteristics of 336 open source global datasets in relation to whether a dataset: (1) includes ‘contemporary’ information less than five years old, (2) provides longitudinal, repeat-measure information, (3) contains missing data for one or more nation states, (4) has the ability to support trend analysis, (5) contains information on projected likely future conditions or state, and (6) requires operator extraction or manipulation prior to use.
Searches were conducted for global open source datasets via the internet and grey literature. A total of 336 datasets were identified and allocated into one of three broad thematic areas (biodiversity, the abiotic environment, and socio-economics), and further into 17 sub-areas.
Of the 336 datasets evaluated 37 % provided information that was more than five years out of date. Nearly a fifth of all datasets (18 %) provided only a ‘snap-shot’ information i.e. data that were not longitudinal, and trend analysis was not possible for 22 % of datasets. Only 5 % of the collated datasets provided information about future potential ‘state’, and 29 % had missing data (i.e. with one or more countries not providing information). In terms of the readiness for immediate use of the data, 11 % of the datasets required some form of post-access management.
Characterising available datasets is an essential element of supporting improvements to the information and evidence available for conservation practitioners. Our evaluation suggests that despite a range of important initiatives and national structural changes in the way data are collected, there is still some way to go before truly high utility data are available to the global conservation community.
期刊介绍:
The Journal for Nature Conservation addresses concepts, methods and techniques for nature conservation. This international and interdisciplinary journal encourages collaboration between scientists and practitioners, including the integration of biodiversity issues with social and economic concepts. Therefore, conceptual, technical and methodological papers, as well as reviews, research papers, and short communications are welcomed from a wide range of disciplines, including theoretical ecology, landscape ecology, restoration ecology, ecological modelling, and others, provided that there is a clear connection and immediate relevance to nature conservation.
Manuscripts without any immediate conservation context, such as inventories, distribution modelling, genetic studies, animal behaviour, plant physiology, will not be considered for this journal; though such data may be useful for conservationists and managers in the future, this is outside of the current scope of the journal.