High-latitude EU Habitats Directive species at risk due to climate change and land use

Heikkinen, Risto K.; Kartano, Linda; Leikola, Niko; Aalto, Juha; Aapala, Kaisu; Kuusela, Saija; Virkkala, Raimo

doi:10.1016/j.gecco.2021.e01664

Cited by 14 publications

(6 citation statements)

References 68 publications

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“… Pytho kolwensis , which is a very rare and globally endangered taxon ( Cálix et al 2018 ), is known only from six countries ( Painter et al 2007 , Pollock and Iwan 2020 ), but it disappeared in numerous localities during recent decades because of human activity, particularly unsustainable forestry ( Saalas 1923 , Jansson and Palm 1936 , Siitonen and Saaristo 2000 ). In the EU countries, this species and its habitas are protected by a law under the Natura 2000 network ( Heikkinen et al 2021 ). Pytho abieticola has been recorded from 12 countries, in most of them being known as rare (e.g.…”

Section: Discussionmentioning

confidence: 99%

Updated distributional checklist of the genus Pytho Latreille, 1796 of the Palearctic realm with the first records of P. abieticola J. R. Sahlberg, 1875 from Lithuania and the family Pythidae (Coleoptera) from Moldova and Serbia

Jaskuła,

Ćoso,

Tamutis

et al. 2024

BDJ

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Pytho Latreille, 1796 is a small genus of the dead log bark beetles (Coleoptera, Pythidae). All species are distributed in the Holarctic, being recognised as typically boreal taxa, but knowledge about the geographical ranges of particular taxa is far from complete. The updated distributional checklist of the genus Pytho of the Palearctic is given, based on literature and new records, including citizen-scientific data. Pytho depressus and the family Pythidae are recorded for the first time from the Republic of Moldova (Municipality of Chișinău) and the Republic of Serbia (Municipality of Voždovac) and P. abieticola is recorded for the first time from Lithuania (Alytus District Municipality, Ignalina District Municipality and Kaišiadorys District Municipality).

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Section: Discussionmentioning

confidence: 99%

Updated distributional checklist of the genus Pytho Latreille, 1796 of the Palearctic realm with the first records of P. abieticola J. R. Sahlberg, 1875 from Lithuania and the family Pythidae (Coleoptera) from Moldova and Serbia

Jaskuła,

Ćoso,

Tamutis

et al. 2024

BDJ

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“…Landuse change, especially urban expansion, accelerates habitat degradation [22,23]. Moreover, the habitat types needed for species survival have been reduced and fragmented under the effects of climate change and land-use change [3,37]. Moreover, universally, overgrazing has caused grassland degradation and loss of biological diversity [18].…”

Section: Selection Of Driving Factorsmentioning

confidence: 99%

“…Biodiversity, which supports ecosystem processes, functions, and the continued delivery of ecosystem services, is fundamental to human health and well-being [1]. Although conservation efforts have been emphasized, habitat fragmentation, degeneration, and loss driven by human activities and climate change are still the greatest threats to global biodiversity loss [2,3]. Habitat quality (HQ) is an effective decision-support tool for identifying conservation areas and evaluating their conservation status to provide welfare for people [4,5].…”

Section: Introductionmentioning

confidence: 99%

Monitoring the Spatiotemporal Dynamics of Habitat Quality and Its Driving Factors Based on the Coupled NDVI-InVEST Model: A Case Study from the Tianshan Mountains in Xinjiang, China

Zhao²,

et al. 2022

Land

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Globally, mountains have suffered enormous biodiversity loss and habitat degradation due to climate change and human activities. As an agent of biodiversity, evaluating habitat quality (HQ) change is an indispensable key step for regional ecological security and human well-being enhancement, especially for fragile mountain ecosystems in arid areas. In this study, we aimed to propose an integrated framework coupled with the Normalized Difference Vegetation Index (NDVI) and Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST)-HQ module to improve the effectiveness and accuracy of HQ estimation. We highlighted the Tianshan Mountains in Xinjiang as an example to validate the model, as it is a typical representative of mountain ecosystems in the temperate arid zone. Specifically, we aimed to assess the spatiotemporal dynamics of HQ over the past two decades and investigate its influencing factors using a geographical detector model. The results show that, first, grassland and unused land were the main land-use types in the study area. The land-use transitions were mainly concentrated in grassland, woodland, water body, and unused land. Second, the total area of very important habitats and general habitats accounted for over 70% of the Tianshan Mountains. The average HQ decreased from 0.5044 to 0.4802 during 1995–2015. Third, the HQ exhibited significant spatial differentiation, and the Ili River Valley and Kaidu River Basin were the hot spots, while the south and east of the Tianshan Mountains were the cold spots. Habitat quality was strongly related to the terrain gradient, with an inverted “U” type. Protected areas of different categories played a vital role in biodiversity conservation. Finally, soil type, land-use change, precipitation, temperature, and grazing intensity were the dominant factors in response to HQ change for both the total Tianshan Mountains and sub-regions, followed by elevation, the relief degree of the land surface, gross domestic product, population density, and distance to tourism attractions. The interaction effects of the influencing factors were improved compared to the effects of the individual factors in each zone. Furthermore, these results provide decision-making criteria for formulating a scientific and systematic protection of ecology and restoration planning systems to enhance the capacity to address climate change.

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“…Most vulnerability studies have been conducted at a rather coarse scale (Heikkinen et al 2021) and smallscale results are completely necessary on small islands (Segal et al 2021). To evaluate the climatic vulnerability of the species, we obtained data about the F.N.…”

Section: Species Distribution Models and Loss Of Suitable Fundamental...mentioning

confidence: 99%

“…There have been a great variety of methodological developments that aid in assessing the vulnerability of species to climate change (Felicísimo et al 2012;Paci ci et al 2015;Foden et al 2019). These tools provide essential information on climate change vulnerabilities across different species and habitats and aid in conservation management of those species at highest risks (Heikkinen et al 2021). However, some new drivers still currently require study on oceanic islands, since they show special characteristics such as their small size, greater rarity (endemicity rates) and an invasive herbivores stress sustained over time, even in the best-preserved areas (Nogales et al 2006 (Chase et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Assessing global warming vulnerability of restricted and common plant species in alpine habitats on two oceanic islands

González‐Mancebo

Bello-Rodríguez

Cubas

et al. 2022

Preprint

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Climate change is modifying plant communities and ecosystems around the world. Alpine ecosystems are of special concern on oceanic islands, due to their characteristic higher endemicity rate, small area and undergoing severe climate change impact in the last few decades. During recent decades there has been increasing interest in the effects of climate change on biodiversity and a range of methods have been developed to assess species vulnerability. However, new insights are necessary to obtain useful information for species management on oceanic islands. Here in the alpine area of two oceanic islands (Tenerife and La Palma) we evaluate the drivers that best explain the vulnerability of 63 endemic species along three scenarios, covering recent past to present and two future projections (2041–2060 and 2061–2080. The selected drivers were: loss of fundamental niche area, persistence of fundamental and realized niches, and the adaptive capacity constraints. We assess whether the drivers of risk and vulnerability for common, restricted and rare species are significantly different, and the influence of fundamental niche size. Our results indicate that management must be widely distributed over the species, and not only focus on restricted species. Evidence for this was that drivers directly deriving from climate change showed no significant differences in their impact on the rarity groups identified. Vulnerability depends partially on the fundamental niche size area, showing a more complex picture where constraints on the adaptive capacity of the species have a strong enough influence to modify the effects of the characteristic drivers of climate change.

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High-latitude EU Habitats Directive species at risk due to climate change and land use

Cited by 14 publications

References 68 publications

Updated distributional checklist of the genus Pytho Latreille, 1796 of the Palearctic realm with the first records of P. abieticola J. R. Sahlberg, 1875 from Lithuania and the family Pythidae (Coleoptera) from Moldova and Serbia

Updated distributional checklist of the genus Pytho Latreille, 1796 of the Palearctic realm with the first records of P. abieticola J. R. Sahlberg, 1875 from Lithuania and the family Pythidae (Coleoptera) from Moldova and Serbia

Monitoring the Spatiotemporal Dynamics of Habitat Quality and Its Driving Factors Based on the Coupled NDVI-InVEST Model: A Case Study from the Tianshan Mountains in Xinjiang, China

Assessing global warming vulnerability of restricted and common plant species in alpine habitats on two oceanic islands

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