How sensitive are temperate tadpoles to climate change? The use of thermal physiology and niche model tools to assess vulnerability

Zoology ◽  
2018 ◽  
Vol 127 ◽  
pp. 95-105 ◽  
Author(s):  
María Gabriela Perotti ◽  
Marcelo Fabián Bonino ◽  
Daiana Ferraro ◽  
Félix Benjamín Cruz
Keyword(s):  
Climate Change ◽  
Thermal Physiology ◽  
Niche Model

Multi-model comparison on the effects of climate change on tree species in the eastern U.S.: results from an enhanced niche model and process-based ecosystem and landscape models

2016 ◽  
Vol 32 (7) ◽  
pp. 1327-1346 ◽  
Author(s):  
Louis R. Iverson ◽  
Frank R. Thompson ◽  
Stephen Matthews ◽  
Matthew Peters ◽  
Anantha Prasad ◽  
...  
Keyword(s):  
Climate Change ◽  
Tree Species ◽  
Model Comparison ◽  
Niche Model ◽  
Landscape Models

An assessment of the impact of climate change on the distribution of the grey-shanked douc Pygathrix cinerea using an ecological niche model

Primates ◽  
2019 ◽  
Vol 61 (2) ◽  
pp. 267-275
Author(s):  
Thinh T. Vu ◽  
Dung V. Tran ◽  
Hoa T. P. Tran ◽  
Manh D. Nguyen ◽  
Tuan A. Do ◽  
...  
Keyword(s):  
Climate Change ◽  
Ecological Niche ◽  
Ecological Niche Model ◽  
Niche Model ◽  
Impact Of Climate Change ◽  
The Impact ◽  
Pygathrix Cinerea

scholarly journals Integrating within-species variation in thermal physiology into climate change ecology

2019 ◽  
Vol 374 (1778) ◽  
pp. 20180550 ◽  
Author(s):  
Scott Bennett ◽  
Carlos M. Duarte ◽  
Núria Marbà ◽  
Thomas Wernberg
Keyword(s):  
Climate Change ◽  
Global Climate ◽  
Thermal Sensitivity ◽  
High Sensitivity ◽  
Population Level ◽  
Marine Organisms ◽  
Ocean Warming ◽  
Species Variation ◽  
Thermal Physiology ◽  
Physiological Diversity

Accurately forecasting the response of global biota to warming is a fundamental challenge for ecology in the Anthropocene. Within-species variation in thermal sensitivity, caused by phenotypic plasticity and local adaptation of thermal limits, is often overlooked in assessments of species responses to warming. Despite this, implicit assumptions of thermal niche conservatism or adaptation and plasticity at the species level permeate the literature with potentially important implications for predictions of warming impacts at the population level. Here we review how these attributes interact with the spatial and temporal context of ocean warming to influence the vulnerability of marine organisms. We identify a broad spectrum of thermal sensitivities among marine organisms, particularly in central and cool-edge populations of species distributions. These are characterized by generally low sensitivity in organisms with conserved thermal niches, to high sensitivity for organisms with locally adapted thermal niches. Important differences in thermal sensitivity among marine taxa suggest that warming could adversely affect benthic primary producers sooner than less vulnerable higher trophic groups. Embracing the spatial, temporal and biological context of within-species variation in thermal physiology helps explain observed impacts of ocean warming and can improve forecasts of climate change vulnerability in marine systems. This article is part of the theme issue ‘Physiological diversity, biodiversity patterns and global climate change: testing key hypotheses involving temperature and oxygen’.

scholarly journals Use and misuse of temperature normalisation in meta-analyses of thermal responses of biological traits

2017 ◽  
Author(s):  
Dimitrios - Georgios Kontopoulos ◽  
Bernardo García-Carreras ◽  
Sofía Sal ◽  
Thomas P. Smith ◽  
Samraat Pawar
Keyword(s):  
Climate Change ◽  
Thermal Performance ◽  
Alternative Methods ◽  
Biological Traits ◽  
Thermal Physiology ◽  
Wide Range ◽  
Performance Curves ◽  
Biological Impacts ◽  
Using Data ◽  
Meta Analyses

There is currently unprecedented interest in quantifying variation in thermal physiology among organisms in order to understand and predict the biological impacts of climate change. A key parameter in this quantification of thermal physiology is the performance or value of a trait, across individuals or species, at a common temperature (temperature normalisation). An increasingly popular model for fitting thermal performance curves to data – the Sharpe-Schoolfield equation – can yield strongly inflated estimates of temperature-normalised trait values. These deviations occur whenever a key thermodynamic assumption of the model is violated, i.e. when the enzyme governing the performance of the trait is not fully functional at the chosen reference temperature. Using data on 1,758 thermal performance curves across a wide range of species, we identify the conditions that exacerbate this inflation. We then demonstrate that these biases can compromise tests to detect metabolic cold adaptation, which requires comparison of fitness or trait performance of different species or genotypes at some fixed low temperature. Finally, we suggest alternative methods for obtaining unbiased estimates of temperature-normalised trait values for meta-analyses of thermal performance across species in climate change impact studies.

scholarly journals Within- and transgenerational plasticity of a temperate salmonid in response to thermal acclimation and acute temperature stress

2021 ◽  
Author(s):  
Chantelle M Penney ◽  
Joshua K R Tabh ◽  
Chris C Wilson ◽  
Gary Burness
Keyword(s):  
Climate Change ◽  
Brook Trout ◽  
Performance Metrics ◽  
Thermal Acclimation ◽  
Temperature Relationship ◽  
Acclimation Temperature ◽  
Change Scenario ◽  
Thermal Physiology ◽  
Transgenerational Plasticity ◽  
Environmental Temperatures

Environmental temperatures associated with climate change are rising too rapidly for many species to adapt, threatening the persistence of taxa with limited capacities for thermal acclimation. We investigated the capacity for within- and transgenerational responses to increasing environmental temperatures in brook trout ((I)Salvelinus fontinalis(/I)), a cold-adapted salmonid. Adult fish were acclimated to temperatures within (10℃) and above (21℃) their thermal optimum for six months before spawning, then mated in a full factorial breeding design to produce offspring from cold- and warm-acclimated parents as well as bidirectional crosses between parents from both temperature treatments. Offspring families were subdivided and reared at two acclimation temperatures (15℃ and 19℃) representing their current environment and a projected climate change scenario. Offspring thermal physiology was measured as the rate of oxygen consumption (MO2) during an acute change in temperature (+2℃ h-h) to observe their MO2-temperature relationship. We also recorded resting MO2, the highest achieved (peak) MO2, and critical thermal maximum (CTM) as performance metrics. Within-generation plasticity was greater than transgenerational plasticity, with offspring acclimation temperature having demonstrable effects on peak MO2 and CTM. Transgenerational plasticity was evident as an elevated resting MO2 and the MO2-temperature relationship in offspring from warm-acclimated parents. Both parents contributed to offspring thermal responses, although the paternal effect was stronger. Although brook trout exhibit both within- and transgenerational plasticity for thermal physiology, it is unlikely that these will be sufficient for coping with long-term changes to environmental temperatures resulting from climate change.

scholarly journals Heat remains unaccounted for in thermal physiology and climate change research

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 221 ◽  
Author(s):  
Andreas D. Flouris ◽  
Glen P. Kenny
Keyword(s):  
Climate Change ◽  
Human Body ◽  
Climate Models ◽  
Heat Storage ◽  
Regional Distribution ◽  
Temperature Measurements ◽  
Thermal Physiology ◽  
Key Factors ◽  
Climate Change Research ◽  
The Earth

In the aftermath of the Paris Agreement, there is a crucial need for scientists in both thermal physiology and climate change research to develop the integrated approaches necessary to evaluate the health, economic, technological, social, and cultural impacts of 1.5°C warming. Our aim was to explore the fidelity of remote temperature measurements for quantitatively identifying the continuous redistribution of heat within both the Earth and the human body. Not accounting for the regional distribution of warming and heat storage patterns can undermine the results of thermal physiology and climate change research. These concepts are discussed herein using two parallel examples: the so-called slowdown of the Earth’s surface temperature warming in the period 1998-2013; and the controversial results in thermal physiology, arising from relying heavily on core temperature measurements. In total, the concept of heat is of major importance for the integrity of systems, such as the Earth and human body. At present, our understanding about the interplay of key factors modulating the heat distribution on the surface of the Earth and in the human body remains incomplete. Identifying and accounting for the interconnections among these factors will be instrumental in improving the accuracy of both climate models and health guidelines.

scholarly journals Use and misuse of temperature normalisation in meta-analyses of thermal responses of biological traits

2017 ◽  
Author(s):  
Dimitrios - Georgios Kontopoulos ◽  
Bernardo García-Carreras ◽  
Sofía Sal ◽  
Thomas P. Smith ◽  
Samraat Pawar
Keyword(s):  
Climate Change ◽  
Thermal Performance ◽  
Alternative Methods ◽  
Biological Traits ◽  
Thermal Physiology ◽  
Wide Range ◽  
Performance Curves ◽  
Biological Impacts ◽  
Using Data ◽  
Meta Analyses

There is currently unprecedented interest in quantifying variation in thermal physiology among organisms in order to understand and predict the biological impacts of climate change. A key parameter in this quantification of thermal physiology is the performance or value of a trait, across individuals or species, at a common temperature (temperature normalisation). An increasingly popular model for fitting thermal performance curves to data – the Sharpe-Schoolfield equation – can yield strongly inflated estimates of temperature-normalised trait values. These deviations occur whenever a key thermodynamic assumption of the model is violated, i.e. when the enzyme governing the performance of the trait is not fully functional at the chosen reference temperature. Using data on 1,758 thermal performance curves across a wide range of species, we identify the conditions that exacerbate this inflation. We then demonstrate that these biases can compromise tests to detect metabolic cold adaptation, which requires comparison of fitness or trait performance of different species or genotypes at some fixed low temperature. Finally, we suggest alternative methods for obtaining unbiased estimates of temperature-normalised trait values for meta-analyses of thermal performance across species in climate change impact studies.

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