Think globally, measure locally: The MIREN standardized protocol for monitoring plant species distributions along elevation gradients

Ecology and Evolution, Journal Year: 2022, Volume and Issue: 12(2)

Published: Feb. 1, 2022

Abstract Climate change and other global drivers threaten plant diversity in mountains worldwide. A widely documented response to such environmental modifications is for species their elevational ranges. Range shifts are often idiosyncratic difficult generalize, partly due variation sampling methods. There thus a need standardized monitoring strategy that can be applied across mountain regions assess distribution changes community turnover of native non‐native over space time. Here, we present conceptually intuitive protocol developed by the Mountain Invasion Research Network (MIREN) systematically quantify patterns distributions along elevation gradients arising from interactive effects climate human disturbance. Usually repeated every five years, surveys consist 20 sample sites located at equal increments three replicate roads per region. At each site, plots extend side road into surrounding natural vegetation. The has been successfully used 18 worldwide 2007 present. Analyses one point time already generated some salient results, revealed region‐specific richness, but globally consistent decline richness. Non‐native plants were also more abundant directly adjacent edges, suggesting disturbed roadsides serve as vector invasions mountains. From upcoming analyses series, even exciting results expected, especially about range shifts. Implementing would help generate complete picture how alters distributions. This inform conservation policy ecosystems, where policies remain poorly implemented.

Language: Английский

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Perspective: sustainability challenges, opportunities and solutions for long-term ecosystem observations

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2023, Volume and Issue: 378(1881)

Published: May 29, 2023

As interest in natural capital grows and society increasingly recognizes the value of biodiversity, we must discuss how ecosystem observations to detect changes biodiversity can be sustained through collaboration across regions sectors. However, there are many barriers establishing sustaining large-scale, fine-resolution observations. First, comprehensive monitoring data on both possible anthropogenic factors lacking. Second, some situ cannot systematically established maintained locations. Third, equitable solutions sectors countries needed build a global network. Here, by examining individual cases emerging frameworks, mainly from (but not limited to) Japan, illustrate ecological science relies long-term neglecting basic our home planet further reduces chances overcoming environmental crisis. We also techniques opportunities, such as DNA citizen well using existing forgotten sites monitoring, that help overcome difficulties at large scale with fine resolution. Overall, this paper presents call action for joint factors, systematic establishment maintenance observations, network, beyond cultures, languages, economic status. hope proposed framework examples Japan serve starting point discussions collaborations among stakeholders multiple society. It is time take next step detecting socio-ecological systems, if observation made more feasible, they will play an even important role ensuring sustainability future generations. This article part theme issue 'Detecting attributing causes change: needs, gaps solutions'.

Language: Английский

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DNA metabarcoding and morphological identification reveal similar richness, taxonomic composition and body size patterns among flying insect communities

Insect Conservation and Diversity, Journal Year: 2024, Volume and Issue: 17(3), P. 449 - 463

Published: Jan. 9, 2024

Abstract Tracking insect biodiversity trends and predicting future trajectories is limited by a lack of monitoring data across large spatiotemporal scales. DNA metabarcoding time‐ cost‐efficient method to obtain these data, but has several potential limitations in comparison traditional morphological approaches. For example, may miss low‐abundance or smaller bodied individuals presence/absence information, which bias estimates community composition. However, few comparisons morphology‐based identification have been made using insects, the far most diverse animal taxonomic group. Here, we compared terrestrial communities identified via morphology versus four different habitats three seasons (late spring, mid‐summer early autumn) during 2019. We species richness, composition body size, with focus on key groups bees, true bugs, butterflies hoverflies. 252 total species, 54.8% both methods, whereas 21.4% 19.8% were solely detected morphology, respectively. Overall, size similar between methods. Metabarcoding detection successes declined taxa, particularly hoverflies bugs; however, richness tended be higher identification. Our results show that can provide an accurate overview differences are comparable those determined recommend programmes consider incorporating metabarcoding, although research needed overcome some remaining limitations.

Language: Английский

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Long-term soil organic carbon and crop yield feedbacks differ between 16 soil-crop models in sub-Saharan Africa

European Journal of Agronomy, Journal Year: 2024, Volume and Issue: 155, P. 127109 - 127109

Published: Feb. 8, 2024

Language: Английский

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Upscaling biodiversity monitoring: Metabarcoding estimates 31,846 insect species from Malaise traps across Germany

Molecular Ecology Resources, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 4, 2024

Abstract Mitigating ongoing losses of insects and their key functions (e.g. pollination) requires tracking large‐scale long‐term community changes. However, doing so has been hindered by the high diversity insect species that prohibitively investments time, funding taxonomic expertise when addressed with conventional tools. Here, we show these concerns can be through a comprehensive, scalable cost‐efficient DNA metabarcoding workflow. We use 1815 samples from 75 Malaise traps across Germany 2019 2020 to demonstrate how incorporated into monitoring networks for less than 50 € per sample, including supplies, labour maintenance. validated detected using two publicly available databases (GBOL GBIF) judgement experts. With an average 1.4 M sequence reads sample uncovered 10,803 species, which 83.9% were represented single Operational Taxonomic Unit (OTU). estimated another 21,043 plausible argue either lack reference barcode or are undescribed. The total 31,846 is similar number known (~35,500). Because capture only subset insects, our approach identified many likely unknown new science. Our reproducible workflow (~80% OTU‐similarity among years) provides blueprint biodiversity other components in near real time.

Language: Английский

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