scholarly journals Limited potential for adaptation to climate change in a broadly distributed marine crustacean

2011 ◽  
Vol 279 (1727) ◽  
pp. 349-356 ◽  
Author(s):  
Morgan W. Kelly ◽  
Eric Sanford ◽  
Richard K. Grosberg
Keyword(s):  
Climate Change ◽  
Local Adaptation ◽  
Thermal Tolerance ◽  
Extinction Risk ◽  
Empirical Studies ◽  
Natural Populations ◽  
Adaptation To Climate Change ◽  
Isolated Populations ◽  
Tigriopus Californicus ◽  
Standing Variation

The extent to which acclimation and genetic adaptation might buffer natural populations against climate change is largely unknown. Most models predicting biological responses to environmental change assume that species' climatic envelopes are homogeneous both in space and time. Although recent discussions have questioned this assumption, few empirical studies have characterized intraspecific patterns of genetic variation in traits directly related to environmental tolerance limits. We test the extent of such variation in the broadly distributed tidepool copepod Tigriopus californicus using laboratory rearing and selection experiments to quantify thermal tolerance and scope for adaptation in eight populations spanning more than 17° of latitude. Tigriopus californicus exhibit striking local adaptation to temperature, with less than 1 per cent of the total quantitative variance for thermal tolerance partitioned within populations. Moreover, heat-tolerant phenotypes observed in low-latitude populations cannot be achieved in high-latitude populations, either through acclimation or 10 generations of strong selection. Finally, in four populations there was no increase in thermal tolerance between generations 5 and 10 of selection, suggesting that standing variation had already been depleted. Thus, plasticity and adaptation appear to have limited capacity to buffer these isolated populations against further increases in temperature. Our results suggest that models assuming a uniform climatic envelope may greatly underestimate extinction risk in species with strong local adaptation.

scholarly journals Nature-based tourism operators’ perceptions and adaptation to climate change in Hwange National Park, Zimbabwe

2018 ◽  
Vol 42 (42) ◽  
pp. 115-127 ◽  
Author(s):  
William Mushawemhuka ◽  
Jayne M. Rogerson ◽  
Jarkko Saarinen
Keyword(s):  
Climate Change ◽  
Southern Africa ◽  
National Park ◽  
Empirical Studies ◽  
Tourism Industry ◽  
Adaptation To Climate Change ◽  
Economic Role ◽  
Change Perceptions ◽  
Hwange National Park ◽  
Adaptation Practices

Abstract Climate and weather are important resources for tourism. In particular, nature-based tourism activities and operations are largely dependent on and affected by environmental conditions and changes. Due to the significant socio-economic role of the nature-based tourism and the tourism industry, in general, in the region of southern Africa it is important to understand the dynamics between the industry and climate change. A key aspect of this understanding are perceptions and adaptation preparedness of tourism operators towards the estimated impact of climate change. There is a dearth of empirical studies on climate change perceptions and adaptation in nature-based tourism operations across southern Africa and specifically from Zimbabwe. This research gap is addressed in this article which provides an exploratory analysis of the nature of climate change adaptation practices occurring in southern Africa using evidence from Hwange National Park, Zimbabwe.

scholarly journals Evolutionary inference from QST-FST comparisons: disentangling local adaptation from altitudinal gradient selection in snapdragon plants

2018 ◽  
Author(s):  
Sara Marin ◽  
Juliette Archambeau ◽  
Vincent Bonhomme ◽  
Mylène Lascoste ◽  
Benoit Pujol
Keyword(s):  
Local Adaptation ◽  
Natural Populations ◽  
Common Garden ◽  
Global Scale ◽  
Structured Populations ◽  
Adaptive Divergence ◽  
Adaptation To Climate Change ◽  
Phenotypic Differentiation ◽  
Multiple Populations ◽  
Environmental Demand

ABSTRACTPhenotypic differentiation among natural populations can be explained by natural selection or by neutral processes such as drift. There are many examples in the literature where comparing the effects of these processes on multiple populations has allowed the detection of local adaptation. However, these studies rarely identify the agents of selection. Whether population adaptive divergence is caused by local features of the environment, or by the environmental demand emerging at a more global scale, for example along altitudinal gradients, is a question that remains poorly investigated. Here, we measured neutral genetic (FST) and quantitative genetic (QST) differentiation among 13 populations of snapdragon plants (Antirrhinum majus) in a common garden experiment. We found low but significant genetic differentiation at putatively neutral markers, which supports the hypothesis of either ongoing pervasive homogenisation via gene flow between diverged populations or reproductive isolation between disconnected populations. Our results also support the hypothesis of local adaptation involving phenological, morphological, reproductive and functional traits. They also showed that phenotypic differentiation increased with altitude for traits reflecting the reproduction and the phenology of plants, thereby confirming the role of such traits in their adaptation to environmental differences associated with altitude. Our approach allowed us to identify candidate traits for the adaptation to climate change in snapdragon plants. Our findings imply that environmental conditions changing with altitude, such as the climatic envelope, influenced the adaptation of multiple populations of snapdragon plants on the top of their adaptation to local environmental features. They also have implications for the study of adaptive evolution in structured populations because they highlight the need to disentangle the adaptation of plant populations to climate envelopes and altitude from the confounding effects of selective pressures acting specifically at the local scale of a population.

scholarly journals Assessing Community Resilience to Urban Flooding in Multiple Types of the Transient Population in China

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2784 ◽  
Author(s):  
Wenping Xu ◽  
Lingli Xiang ◽  
David Proverbs
Keyword(s):  
Climate Change ◽  
Empirical Studies ◽  
Back Propagation ◽  
Community Resilience ◽  
Back Propagation Neural Network ◽  
Disaster Resilience ◽  
Urban Flooding ◽  
Adaptation To Climate Change ◽  
Mitigation And Adaptation ◽  
Different Types

While various measures of mitigation and adaptation to climate change have been taken in recent years, many have gradually reached a consensus that building community resilience is of great significance when responding to climate change, especially urban flooding. There has been a dearth of research on community resilience to urban floods, especially among transient communities, and therefore there is a need to conduct further empirical studies to improve our understanding, and to identify appropriate interventions. Thus, this work combines two existing resilience assessment frameworks to address these issues in three different types of transient community, namely an urban village, commercial housing, and apartments, all located in Wuhan, China. An analytic hierarchy process–back propagation neural network (AHP-BP) model was developed to estimate the community resilience within these three transient communities. The effects of changes in the prioritization of key resilience indicators under different environmental, economic, and social factors was analyzed across the three communities. The results demonstrate that the ranking of the indicators reflects the connection between disaster resilience and the evaluation units of diverse transient communities. These aspects show the differences in the disaster resilience of different types of transient communities. The proposed method can help decision makers in identifying the areas that are lagging behind, and those that need to be prioritized when allocating limited and/or stretched resources.

scholarly journals Contrasted patterns of local adaptation to climate change across the range of an evergreen oak, Quercus aquifolioides

2020 ◽  
Vol 13 (9) ◽  
pp. 2377-2391 ◽  
Author(s):  
Fang K. Du ◽  
Tianrui Wang ◽  
Yuyao Wang ◽  
Saneyoshi Ueno ◽  
Guillaume Lafontaine
Keyword(s):  
Climate Change ◽  
Local Adaptation ◽  
Adaptation To Climate Change ◽  
Evergreen Oak

scholarly journals A Few Stickleback Suffice for the Transport of Alleles to New Lakes

2019 ◽  
Vol 10 (2) ◽  
pp. 505-514 ◽  
Author(s):  
Jared Galloway ◽  
William A. Cresko ◽  
Peter Ralph
Keyword(s):  
Gene Flow ◽  
Local Adaptation ◽  
De Novo ◽  
Empirical Studies ◽  
Low Frequency ◽  
Small Fish ◽  
Marine Population ◽  
Standing Variation ◽  
Population Genomic ◽  
Genomic Studies

Threespine stickleback populations provide a striking example of local adaptation to divergent habitats in populations that are connected by recurrent gene flow. These small fish occur in marine and freshwater habitats throughout the Northern Hemisphere, and in numerous cases the smaller freshwater populations have been established “de novo” from marine colonists. Independently evolved freshwater populations exhibit similar phenotypes that have been shown to derive largely from the same standing genetic variants. Geographic isolation prevents direct migration between the freshwater populations, strongly suggesting that these shared locally adaptive alleles are transported through the marine population. However it is still largely unknown how gene flow, recombination, and selection jointly impact the standing variation that might fuel this adaptation. Here we use individual-based, spatially explicit simulations to determine the levels of gene flow that best match observed patterns of allele sharing among habitats in stickleback. We aim to better understand how gene flow and local adaptation in large metapopulations determine the speed of adaptation and re-use of standing genetic variation. In our simulations we find that repeated adaptation uses a shared set of alleles that are maintained at low frequency by migration-selection balance in oceanic populations. This process occurs over a realistic range of intermediate levels of gene flow that match previous empirical population genomic studies in stickleback. Examining these simulations more deeply reveals how lower levels of gene flow leads to slow, independent adaptation to different habitats, whereas higher levels of gene flow leads to significant mutation load – but an increased probability of successful population genomic scans for locally adapted alleles. Surprisingly, we find that the genealogical origins of most freshwater adapted alleles can be traced back to the original generation of marine individuals that colonized the lakes, as opposed to subsequent migrants. These simulations provide deeper context for existing studies of stickleback evolutionary genomics, and guidance for future empirical studies in this model. More broadly, our results support existing theory of local adaptation but extend it by more completely documenting the genealogical history of adaptive alleles in a metapopulation.

scholarly journals Adaptation to climate change through genetic accommodation and assimilation of plastic phenotypes

2019 ◽  
Vol 374 (1768) ◽  
pp. 20180176 ◽  
Author(s):  
Morgan Kelly
Keyword(s):  
Climate Change ◽  
Natural Populations ◽  
Adaptive Responses ◽  
Adaptation To Climate Change ◽  
Genetic Accommodation ◽  
Direct Observations ◽  
Climate Change Responses ◽  
Evolutionary Changes ◽  
Environmentally Responsive

Theory suggests that evolutionary changes in phenotypic plasticity could either hinder or facilitate evolutionary rescue in a changing climate. Nevertheless, the actual role of evolving plasticity in the responses of natural populations to climate change remains unresolved. Direct observations of evolutionary change in nature are rare, making it difficult to assess the relative contributions of changes in trait means versus changes in plasticity to climate change responses. To address this gap, this review explores several proxies that can be used to understand evolving plasticity in the context of climate change, including space for time substitutions, experimental evolution and tests for genomic divergence at environmentally responsive loci. Comparisons among populations indicate a prominent role for divergence in environmentally responsive traits in local adaptation to climatic gradients. Moreover, genomic comparisons among such populations have identified pervasive divergence in the regulatory regions of environmentally responsive loci. Taken together, these lines of evidence suggest that divergence in plasticity plays a prominent role in adaptation to climatic gradients over space, indicating that evolving plasticity is also likely to play a key role in adaptive responses to climate change through time. This suggests that genetic variation in plastic responses to the environment (G × E) might be an important predictor of species' vulnerabilities to climate-driven decline or extinction.This article is part of the theme issue ‘The role of plasticity in phenotypic adaptation to rapid environmental change’.

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