Developing Biodiversity Baselines to Develop and Implement Future Conservation Targets DOI Creative Commons
Alice C. Hughes

Plants, Journal Year: 2023, Volume and Issue: 12(12), P. 2291 - 2291

Published: June 12, 2023

With the recent launch of Kunming-Montreal global biodiversity framework (GBF), and associated monitoring framework, understanding data needed to support it is crucial. Unfortunately, whilst was meant provide key monitor progress towards goals targets, most indicators are too unclear for detection or marking progress. The common datasets this task, such as IUCN redlist species, have major spatial inaccuracies, lack temporal resolution track progress, point-based from many regions, in addition species coverage. Utilising existing will require careful use data, inventories projecting richness patterns, filling gaps before developing species-level models assessments. As high-resolution fall outside scope explicit within using essential variables GEOBON (which noted prelude framework) a vehicle aggregation provides mechanism collating necessary data. Ultimately effective targets conservation better which National Biodiversity Strategic Action Plans (NBSAPs) novel mechanisms mobilisation be necessary. Furthermore, capitalising on climate synergies GBF an additional means meaningful trying develop urgently trends, prioritising tasks, tracking our targets.

Language: Английский

The Kunming-Montreal Global Biodiversity Framework: what it does and does not do, and how to improve it DOI Creative Commons
Alice C. Hughes, R. Edward Grumbine

Frontiers in Environmental Science, Journal Year: 2023, Volume and Issue: 11

Published: Nov. 6, 2023

The Kunming-Montreal Global Biodiversity Framework (GBF) marks one of the most ambitious environmental agreements 21st century. Yet despite ambition, and considerable change in approach since negotiating its predecessor (the 2025 Vision Aichi targets), many pressures, including working through a global pandemic mean that final agreement, several years delay, is weaker than might have been hoped for. GBF provides set four goals, composed 23 targets (and series supporting annexes) which explore options for conservation, restoration sustainable use biodiversity, mobilisation necessary resources to maintain life on Earth. In this perspective we systematically examine composition GBF, exploring what lack weaknesses exist text. We also detail link between key indicators can be used track success toward fulfilling targets. offer recommendations could help strengthen application various targets, show where improved provide more detailed information monitor progress. Furthermore, discuss association their indicators, may temporal resolution or other elements. Finally, how actors better prepare successor 2030 has learnt about process, lessons ensure future circumnavigate issues weakened agreement.

Language: Английский

Citations

51
Big data, big problems? How to circumvent problems in biodiversity mapping and ensure meaningful results DOI Creative Commons
Alice C. Hughes, James B. Dorey, Silas Bossert

et al.

Ecography, Journal Year: 2024, Volume and Issue: 2024(8)

Published: May 30, 2024

Our knowledge of biodiversity hinges on sufficient data, reliable methods, and realistic models. Without an accurate assessment species distributions, we cannot effectively target stem loss. Species range maps are the foundation such efforts, but countless studies have failed to account for most basic assumptions mapping practices, undermining credibility their results potentially misleading hindering conservation management efforts. Here, use examples from recent literature broader community highlight substantial shortfalls in current practices consequences both analyses management. We detail how different decisions data filtering impact outcomes analysis provide practical recommendations steps more analysis, whilst understanding limits what available will reliably allow methods appropriate. Whilst perfect not possible many taxa given limited biases, ensuring within reasonable inherent is crucial ensure appropriate use. By embracing enacting best can accuracy improved comparability going forward, ultimately enhancing our ability facilitate protection natural world.

Language: Английский

Citations

4
Response of winter bird communities to environmental variables in riparian zones of cold region: a case study in Shenyang, Northeast of China DOI Creative Commons
Chunlei Wu,

Yukuan Dong,

Zhipeng Liang

et al.

Frontiers in Ecology and Evolution, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 2, 2025

Introduction Landscape changes resulting from urbanization have profound impacts on biodiversity, threatening the habitat of resident species. Birds are valuable research subjects because their diversity, wide distribution, and particular sensitivity to environmental changes. Therefore, exploring relationships between winter birds variables is essential for designing managing green spaces during winter. However, responses bird communities in cold regions remain unclear. Methods In this study, we investigated community riparian zone Hun River Shenyang. We selected 11 conducted a principal component analysis extract seven new components that represent Subsequently, performed correlation redundancy analyses diversity indicators variables. Results The results revealed richness, Simpson’s index Shannon index, was greater urban expansion area than core area. abundance lower Disturbance built-up were significantly associated with overall while disturbance, riparian, open vegetation, suburban vegetation linked migratory birds. exhibited compared those Discussion This study recommend focusing seasonal influence birds’ resource use level species composition zones.

Language: Английский

Citations

0
Assessing connectivity contributions of urban green spaces for avian species conservation: Insights of a surrogate approach in Nanjing DOI

Zhou Shen,

Haiwei Yin, Jie Su

et al.

Urban forestry & urban greening, Journal Year: 2025, Volume and Issue: unknown, P. 128687 - 128687

Published: Jan. 1, 2025

Language: Английский

Citations

0
Urban gradient resolution matters! Avian diversity patterns in a boreal green city DOI Creative Commons
Michelle García-Arroyo, Miguel A. Gómez‐Martínez, Meri Back

et al.

Urban Ecosystems, Journal Year: 2025, Volume and Issue: 28(2)

Published: Feb. 8, 2025

Language: Английский

Citations

0
Identifying the combined impact of human activities and natural factors on China's avian species richness using interpretable machine learning methods DOI
Qi Liu, Zeqiang Wu,

Shaoyan Feng

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 376, P. 124479 - 124479

Published: Feb. 15, 2025

Language: Английский

Citations

0
Spatial mismatches and multi-dimensional conservation priorities for urban birds in China DOI

Yunchun Ye,

Wenpeng Lin, Jia Song

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 379, P. 124905 - 124905

Published: March 9, 2025

Language: Английский

Citations

0
Responses of birds with different habitat preferences to urban blue-green spaces: A systematic review and meta-analysis at a global scale DOI
Yuwei Guo, Xinghao Lu, Yuncai Wang

et al.

Biological Conservation, Journal Year: 2025, Volume and Issue: 307, P. 111190 - 111190

Published: May 1, 2025

Language: Английский

Citations

0
Urban landscape thresholds for bird diversity in China’s major cities DOI Creative Commons

Yueteng Chi,

Zhenhuan Liu, Yi Zhou

et al.

Global Ecology and Conservation, Journal Year: 2025, Volume and Issue: unknown, P. e03641 - e03641

Published: May 1, 2025

Language: Английский

Citations

0
Measuring metrics: what diversity indicators are most appropriate for different forms of data bias? DOI Creative Commons
Huijie Qiao, Michael C. Orr, Alice C. Hughes

et al.

Ecography, Journal Year: 2024, Volume and Issue: 2024(9)

Published: June 17, 2024

Biodiversity metrics have become a ubiquitous component of conservation assessments across scales. However, whilst indices increasingly widely used, their ability to perform in the face different biases has remained largely untested under realistic conditions. Citizen science data are available, but present new challenges and biases, thus understanding how use them effectively is essential. Here, we built virtual world incorporating BirdLife accounting for then explored well commonly‐used diversity could estimate known values suite representative scenarios. We used predictive modelling model bird globally overcome using approaches found most accurate prior assessments. Performance was highly variable types many instances Simpson's index performed best, followed by Hill numbers, whereas Pielou's almost universally worst. From standardised tests, applied these eBird 611 520 112 samples 10 359 species (around 88% species), reconstruct global patterns at five ten km resolutions. when mapped out Maxent based on indices, generally over‐predicted diversity, numbers were more conservative. Based an average better projected one can map resolutions accurately predicting even data‐poor areas, if single metric robust bias. Going forward, this workflow will enable standardized best practices mapping clear performance metrics.

Language: Английский

Citations

2