Ecological Impacts of Climate Change

Malanson, George P.; Alftine, Kathryn J.

doi:10.1016/b978-0-12-394847-2.00022-x

Cited by 7 publications

(4 citation statements)

References 119 publications

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“…Some of the most vulnerable organisms to the alterations produced by climate change (e.g., warming temperatures and decreasing precipitation during the growing season; IPCC, 2013) are plants, given their limited ability to physically follow suitable environmental conditions (Parmesan, 2006). One of the most noticeable responses of plants to climatic change is a shift in their geographic ranges (Malanson & Alftine, 2015). In particular, forests in temperate regions will be increasingly exposed to drought in the 21st century (Müller-Haubold, Hertel, Seidel, Knutzen, & Leuschner, 2013), which may accelerate rates of tree decline and mortality in Europe (Bréda, Huc, Granier, & Dreyer, 2006;Müller-Haubold et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Responses of an endangered brown bear population to climate change based on predictable food resource and shelter alterations

Penteriani

Zarzo‐Arias

Novo-Fernández

et al. 2019

Global Change Biology

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The survival of an increasing number of species is threatened by climate change: 20%–30% of plants and animals seem to be at risk of range shift or extinction if global warming reaches levels projected to occur by the end of this century. Plant range shifts may determine whether animal species that rely on plant availability for food and shelter will be affected by new patterns of plant occupancy and availability. Brown bears in temperate forested habitats mostly forage on plants and it may be expected that climate change will affect the viability of the endangered populations of southern Europe. Here, we assess the potential impact of climate change on seven plants that represent the main food resources and shelter for the endangered population of brown bears in the Cantabrian Mountains (Spain). Our simulations suggest that the geographic range of these plants might be altered under future climate warming, with most bear resources reducing their range. As a consequence, this brown bear population is expected to decline drastically in the next 50 years. Range shifts of brown bear are also expected to displace individuals from mountainous areas towards more humanized ones, where we can expect an increase in conflicts and bear mortality rates. Additional negative effects might include: (a) a tendency to a more carnivorous diet, which would increase conflicts with cattle farmers; (b) limited fat storage before hibernation due to the reduction of oak forests; (c) increased intraspecific competition with other acorn consumers, that is, wild ungulates and free‐ranging livestock; and (d) larger displacements between seasons to find main trophic resources. The magnitude of the changes projected by our models emphasizes that conservation practices focused only on bears may not be appropriate and thus we need more dynamic conservation planning aimed at reducing the impact of climate change in forested landscapes.

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Section: Introductionmentioning

confidence: 99%

Responses of an endangered brown bear population to climate change based on predictable food resource and shelter alterations

Penteriani

Zarzo‐Arias

Novo-Fernández

et al. 2019

Global Change Biology

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“…This shift poses a significant global threat to food security, triggering economic, political, and social repercussions for humans (Singh et al, 2023). The pressures on the ecosystem resulting from climate change are considered as the primary causes of biodiversity loss, extinction, and population declines (Malanson & Alftine, 2023).…”

Section: Introductionmentioning

confidence: 99%

Impact of climate change on the future distribution of three Ferulago species in Iran using the MaxEnt model

Hosseini,

Mostafavi,

Sadeghi

2024

Integr Envir Assess & Manag

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The decline of habitats supporting medicinal plants is a consequence of climate change and human activities. In the Middle East, Ferulago angulata, Ferulago carduchorum, and Ferulago phialocarpa are widely recognized for their culinary, medicinal, and economic value. Therefore, this study models these Ferulago species in Iran using the MaxEnt model under two representative concentration pathways (RCP4.5 and RCP8.5) for 2050 and 2070. The objective was to identify the most important bioclimatic (n = 6), edaphic (n = 4), and topographic (n = 3) variables influencing their distribution and predict changes under various climate scenarios. Findings reveal slope percentage as the most significant variable for F. angulata and F. carduchorum, while solar radiation was the primary variable for F. phialocarpa. MaxEnt modeling demonstrated good to excellent performance, as indicated by all the area under the curve values exceeding 0.85. Projections suggest negative area changes for F. angulata and F. carduchorum (i.e., predictions under RCP4.5 for 2050 and 2070 indicate −34.0% and −37.8% for F. phialocarpa, and −0.3% and −6.2% for F. carduchorum; additionally, predictions under RCP 8.5 for 2050 and 2070 show −39.0% and −52.2% for F. phialocarpa, and −1.33% and −9.8% for F. carduchorum), while for F. phialocarpa, a potential habitat increase (i.e., predictions under RCP4.5 for 2050 and 2070 are 23.4% and 11.2%, and under RCP 8.5 for 2050 and 2070 are 64.4% and 42.1%) is anticipated. These insights guide adaptive management strategies, emphasizing conservation and sustainable use amid global climate change. Special attention should be paid to F. angulata and F. carduchorum due to anticipated habitat loss. Integr Environ Assess Manag 2024;00:1–14. © 2024 SETAC

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“…La población mundial creciente continuará afectando el medio ambiente generando grandes impactos en los ecosistemas, especialmente en las zonas costeras (Malanson & Alftine, 2016), las regiones áridas tienen un clima y un entorno ecológico frágil y sensible (Wang & Qin, 2017;Wardropper & Rissman, 2019;West et al, 2017;Zhang, 2000). Los ecosistemas terrestres áridos tienen una función muy importante en los procesos biofísicos al reflejar y absorber la radiación solar y mantener el equilibrio de los componentes atmosféricos (Bawden, 2017;Gaur & Squires, 2017b, 2017aSidahmed, 2017).…”

Section: Introductionunclassified

Machine Learning para la Clasificación y Análisis de los Índices de Biomasa y su relación con el Cambio Climático, Desierto de Atacama

Gómez,

Pino-Vargas,

Huayna

et al. 2024

Manglar

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In this work we use Machine Learning (Randon Forest) as a tool to classify biomass and calculate vegetation indices seeking to identify the characteristics of the vegetation cover at the head of the Atacama Desert. The aim is to establish the correlation between vegetation indices and precipitation, in order to know their reliability on the climatology in this region. The geospatial analysis based on Google Earth Engine (GEE) and the processing of Landsat 5 ETM and Landsat 8 OLI/TIRS images was important, for the period 1985 - 2022, which made it possible to characterize climate change. The NDVI, SAVI, GVI and RVI have been tested and validated in arid systems. The NDVI responds positively to precipitation in the wet season and weakly in the winter rainy season. It is confirmed that the high NDVI corresponds to summer, after a prolonged drought. Towards the years 2020 and 2022, an increase in vegetation cover is recorded in places with higher temperatures, evidencing climate change and reflected in biomass indices.

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Ecological Impacts of Climate Change

Cited by 7 publications

References 119 publications

Responses of an endangered brown bear population to climate change based on predictable food resource and shelter alterations

Responses of an endangered brown bear population to climate change based on predictable food resource and shelter alterations

Impact of climate change on the future distribution of three Ferulago species in Iran using the MaxEnt model

Machine Learning para la Clasificación y Análisis de los Índices de Biomasa y su relación con el Cambio Climático, Desierto de Atacama

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