Alpine burrow-sharing mammals and birds show similar population-level climate change risks

Chen, Yilin; Ge, Deyan; Ericson, Per G. P.; Song, Gang; Wen, Zhixin; Luo, Xu; Yang, Qisen; Lei, Fumin; Qu, Yanhua

doi:10.1038/s41558-023-01772-8

Cited by 5 publications

(2 citation statements)

References 94 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Interestingly, the distribution range of coral reefs highly coincides with that of T. maxima , as shown in the Allen Coral Atlas (Lyons et al, 2020), further explaining why T. maxima are found at a close land distance and verifying the accuracy of species distribution models in predicting their distribution. We speculate that coevolution of these species in this shared environment has led to similar response patterns among associated species in the face of climate change (Chen et al, 2023). This also provides an ideal system for studying how each species in Tridacninae , corals, andZooxanthellae utilizes local climate adaptation, dispersal, and other strategies to mitigate the risks of climate change in the future.…”

Section: Effects Of Environment Factors On the Distribution Oft Maximamentioning

confidence: 92%

Unveiling the Suitable Habitats and Conservation Gaps of Tridacna maxima in the Indo-Pacific Core Area Based on Species Distribution Model

Liu,

Li,

Cong

et al. 2023

Preprint

View full text Add to dashboard Cite

Tridacna maxima (T. maxima) are widely distributed in shallow areas near coral reefs and hold significant commercial value as a food source and for marine tourism. However, it has been extensively harvested and depleted in many regions, leading to it being listed as endangered species by the International Union for Conservation of Nature (IUCN). While marine protected areas (MPAs) are considered effective conservation tools, it remains uncertain whether existing MPAs adequately protect these vulnerable giant clams. Here, we employed a Species Distribution Models (SDMs) approach, combining occurrence records of T. maxima with environmental variables, to predict their distribution and capture spatiotemporal changes. The findings revealed the importance of land distance and light at bottom in determining the distribution of T. maxima, with suitable habitats predominantly found in shallow coastal waters rather than deep sea areas. Furthermore, we modeled potential distribution areas for T. maxima in 2050 and 2100 under different climate change scenarios, highlighting varying impacts on suitable habitats across different model predictions. To evaluate current conservation gaps, we conducted an analysis by overlaying suitable areas with existing protected areas. The results showed that the potential distribution area of T. maxima is 1,519,764.73 km2, accounting for only 16.10% of the total protected areas. It became evident that the existing protected areas are insufficiently large or well-connected, suggesting their ineffectiveness in safeguarding giant clams. Therefore, management efforts should focus on establishing a network of MPAs along the coastlines of West Pacific-Indonesia, matching the dispersal capability of giant clams. These findings provide valuable insights for the conservation of endangered giant clams, offering a scientific foundation for designing MPA networks in the Indo-Pacific region.

show abstract

Section: Effects Of Environment Factors On the Distribution Oft Maximamentioning

confidence: 92%

Unveiling the Suitable Habitats and Conservation Gaps of Tridacna maxima in the Indo-Pacific Core Area Based on Species Distribution Model

Liu,

Li,

Cong

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…While previous studies have linked polygenic adaptation to environmental gradients (Folkertsma et al, 2024; Xuereb et al, 2018; Yadav et al, 2021), these have not been used to examine how the strength of climatic selection may vary from niche center to edge, potentially resulting in non-linear trends of adaptation (Aguirre-Liguori et al, 2021; Fitzpatrick & Keller, 2015). Finally, projecting patterns of climate adaptation inferred across the species’ niche to future conditions constitutes our best estimate of adaptive response and persistence under climate change, particularly for niche edge populations (Aguirre-Liguori et al, 2021; Chen et al, 2023; Fitzpatrick et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Adaptation across a precipitation gradient from niche center to niche edge

vanDeurs,

Reutimann,

Luqman

et al. 2024

Preprint

View full text Add to dashboard Cite

Evaluating the potential for species to adapt to changing climate relies on an appreciation of current patterns of adaptive variation and selection, which might vary in intensity across the niche of a species, affecting our inference of where adaptation might be most important in the future. Here we investigate the genetic basis of adaptation in Lactuca serriola, the wild relative of the common lettuce, growing along a steep precipitation gradient in Israel approaching the arid niche limit of the species, and used candidate loci to inform predictions of its past and future adaptive evolution. Environmental association analyses combined with generalized dissimilarity models revealed 98 candidate genes showing non-linear shifts in allele frequencies across the gradient, with a large proportion under strong directional selection near the dry niche edge. Selection acts on genes with separate suites of biological functions, specifically related to osmotic stress and phenological adjustments at the dry edge, and related to biotic interactions at the niche center. The adaptive genetic composition of populations, as inferred through polygenic risk scores, indicates that intensified selection may be the key determinant of the dry niche edge. However, inference of past and future evolutionary change suggests larger adaptive shifts in the mesic part of the range, which is most affected by climate change. Our study highlights that non-linear spatial variation in selection has implications for predicting past and future responses to climate change.

show abstract

The dominant influencing factors of desertification and ecological risk changes in Qinghai Area of Qilian Mountains National Park: Climate change or human activity?

Liu,

Si,

Jia

et al. 2024

Journal of Environmental Management

View full text Add to dashboard Cite

Alpine burrow-sharing mammals and birds show similar population-level climate change risks

Cited by 5 publications

References 94 publications

Unveiling the Suitable Habitats and Conservation Gaps of Tridacna maxima in the Indo-Pacific Core Area Based on Species Distribution Model

Unveiling the Suitable Habitats and Conservation Gaps of Tridacna maxima in the Indo-Pacific Core Area Based on Species Distribution Model

Adaptation across a precipitation gradient from niche center to niche edge

The dominant influencing factors of desertification and ecological risk changes in Qinghai Area of Qilian Mountains National Park: Climate change or human activity?

Contact Info

Product

Resources

About