Evolutionary Resilience Research Articles

The genetic consequences of population marginality: A case study in maritime pine

AbstractAimMarginal tree populations, either those located at the edges of the species' range or in suboptimal environments, are often a valuable genetic resource for biological conservation. However, there is a lack of knowledge about the genetic consequences of population marginality, estimated across entire species' ranges. Our study addresses this gap by providing information about several genetic indicators and their variability in marginal and core populations identified using quantitative marginality indices.LocationSouthwestern Europe and North Africa.MethodsUsing 10,185 SNPs across 82 populations of maritime pine (Pinus pinaster Ait.), a widespread conifer characterised by a fragmented range, we modelled the relationship of seven genetic indicators potentially related to population evolutionary resilience, namely genetic diversity (based on both all SNPs and outlier SNPs), inbreeding, genetic differentiation, recessive genetic load and genomic offset, with population geographical, demo‐historical and ecological marginality (as estimated by nine quantitative indices). Models were constructed for both regional (introducing gene pool as a random factor) and range‐wide spatial scales.ResultsWe showed a trend towards decreasing overall genetic diversity and increasing differentiation with geographic marginality, supporting the centre‐periphery hypothesis (CPH). However, we found no correlation between population inbreeding and marginality, while geographically marginal populations had a lower recessive genetic load (only models without the gene pool effect). Ecologically marginal populations had a higher genomic offset, suggesting higher maladaptation to future climate, albeit some of these populations also had high genetic diversity for climate outliers.Main ConclusionsOverall genetic diversity (but not outlier‐based estimates) and differentiation patterns support the CPH. Ecologically marginal populations and those at the southern edge could be more vulnerable to climate change due to higher climate maladaptation, as predicted by genomic offsets, and/or lower potentially adaptive genetic diversity. This risk is exacerbated by typically small effective population sizes and increasing human impact in marginal populations.

Spatiotemporal characteristics of ecological resilience and its influencing factors in the Yellow River Basin of China

Maintaining and improving ecological resilience is of great practical significance for the Yellow River Basin to reduce potential ecological risks and deliver sustainable development. Based on the essential characteristics of evolutionary resilience, this paper developed an ecological resilience index system of “resistance-recovery-reconstruction-renewal” and calculated the ecological resilience of 75 prefecture-level cities in the Yellow River Basin from 2007 to 2021 with the improved TOPSIS method. Then the spatiotemporal evolution characteristics of ecological resilience were analyzed using the gravity center-standard deviation ellipse, Dagum Gini coefficient decomposition, and spatial autocorrelation analysis. Furthermore, the dynamic spatial Durbin model (DSDM) was used to investigate the influencing factors of ecological resilience. The main results are as follows: (1) The ecological resilience of the Yellow River Basin showed an overall fluctuating upward trend, and the average annual growth rate in the downstream region was larger than in the upstream and midstream regions. (2) Cities with similar levels of ecological resilience were distributed in a “large settlement, small scattered” pattern. The center of gravity shifted to the southeast, and the spatial distribution exhibited a “northwest-southeast” pattern and a trend towards an “east–west” pattern. The primary source of spatial differences was the intensity of transvariation. (3) The ecological resilience in the Yellow River Basin showed significant spatial clustering, with the H–H clustering area shifting from the Hubao-Eyu urban agglomeration to the Shandong Peninsula urban agglomeration, and the L–L clustering area mainly distributed around the Central Plains city cluster. (4) The ecological resilience of the Yellow River Basin exhibited significant snowball, spillover, and siphon effects in time, space, and space-time dimensions, respectively. In the short and long term, population density and openness significantly positively affected the ecological resilience of local and surrounding cities. Urbanization had a long-term effect on ecological resilience without a short-term effect. GDP per capita and industrial structure only imparted a significant positive influence on local ecological resilience. The negative spatial spillover of the intensity of financial investment in technological innovation gradually turned into a positive effect.

Toward the identification of laggard rural areas: an evolutionary resilience approach

ABSTRACT Based on the evolutionary resilience approach and using Principal Component Analysis, this paper proposes a composite weighted index to measure levels of rural resilience and, in addition, to unravel why some rural areas are less resilient than others. Taking the region of Cantabria (northern Spain) at the municipal level as a sort of ‘laboratory’, the overall results unveil poor levels of resilience and suggest that the main factors limiting resilience are related to cultural interest, rural potential, natural endowment, and connectivity. Our findings also reveal considerable spatial heterogeneity across the different domains of resilience. As a specific contribution, the study brings together rural resilience levels and population growth (as population decline is the first direct consequence of a lack of resilience) in order to define different categories of rural territories, among which laggard rural areas are singled out as areas to be targeted for political intervention. When focusing on such areas, a crucial finding of the paper is that some municipalities that are lagging behind have not been included by the Regional Government as being at severe risk of depopulation, meaning that they cannot benefit from close public monitoring and fiscal support.

Molecular insights into MpAGO1 and its regulatory miRNA, miR11707, in the high-temperature acclimation of Marchantia polymorpha.

As a model plant for bryophytes, Marchantia polymorpha offers insights into the role of RNA silencing in aiding early land plants navigate the challenges posed by high-temperature environments. Genomic analysis revealed unique ARGONAUTE1 ortholog gene (MpAGO1) in M. polymorpha that is regulated by two species-specific microRNAs (miRNAs), miR11707.1 and miR11707.2. Comparative studies of small RNA profiles from M. polymorpha cellular and MpAGO1 immunoprecipitation (MpAGO1-IP) profiles at various temperatures, along with analyses of Arabidopsis AGO1 (AtAGO1), revealed that MpAGO1 has a low-selectivity for a diverse range of small RNA species than AtAGO1. Protein structural comparisons revealed no discernible differences in the MID domains of MpAGO1 and AtAGO1, suggesting the complexity of miRNA species specificity and necessitating further exploration. Small RNA profiling and size exclusion chromatography have pinpointed a subset of M. polymorpha miRNAs, notably miR11707, that remain in free form within the cell at 22°C but are loaded into MpAGO1 at 28°C to engage in RNA silencing. Investigations into the mir11707 gene editing (mir11707ge) mutants provided evidence of the regulation of miR11707 in MpAGO1. Notably, while MpAGO1 mRNA expression decreases at 28°C, the stability of the MpAGO1 protein and its associated miRNAs is essential for enhancing the RISC activity, revealing the importance of RNA silencing in enabling M. polymorpha to survive thermal stress. This study advances our understanding of RNA silencing in bryophytes and provides groundbreaking insights into the evolutionary resilience of land plants to climatic adversities.

Relationships between genomic dissipation and de novo SNP evolution.

Patterns of single nucleotide polymorphisms (SNPs) in eukaryotic DNA are traditionally attributed to selective pressure, drift, identity descent, or related factors-without accounting for ways in which bias during de novo SNP formation, itself, might contribute. A functional and phenotypic analysis based on evolutionary resilience of DNA points to decreased numbers of non-synonymous SNPs in human and other genomes, with a predominant component of SNP depletion in the human gene pool caused by robust preferences during de novo SNP formation (rather than selective constraint). Ramifications of these findings are broad, belie a number of concepts regarding human evolution, and point to a novel interpretation of evolving DNA across diverse species.

Decrypting resilience: The spatiotemporal evolution and driving factors of ecological resilience in the Yangtze River Delta Urban Agglomeration

Can a system be reconstructed for greater resilience to complex disturbances? We provide answers to this question by demystifying ecological resilience (ER). We innovatively constructed a “resistant, absorptive, and restorative capacity” framework based on evolutionary resilience theory, the Dagum Gini coefficient, and the panel Tobit model to systematically determine what ER is and how to enhance it. The results indicate that during 2005–2021, minimal longitudinal changes with significant horizontal variations occurred in the ER of the Yangtze River Delta Urban Agglomeration (YRDUA). ER showed an “east strong, west weak” pattern, with average values from 0.124 to 0.665. The ER of Southern Jiangsu ranked high, while that of the seven cities in Anhui ranked low. The inequity of ER showed an initial increase followed by a fluctuating decreasing trend; the overall average Gini coefficient was 0.262. The intra-regional differences showed Zhejiang > Jiangsu > Anhui, with a contribution rate of 55.46%. Green patents and the proportion of cultivated land were the most significant positive and negative driving forces for ER, respectively. Additionally, when these factors worked together, they increased the explanatory power of ER, primarily via nonlinear enhancement. Urbanization rate and green patents enhanced the joint action of driving forces. The contribution of our study is to compensate for the lack of theoretical traceability in previous studies and provide an inspiring analytical framework for ER.

Crafting Genetic Diversity: Unlocking the Potential of Protein Evolution

Genetic diversity is the foundation of evolutionary resilience, adaptive potential, and the flourishing vitality of living organisms, serving as the cornerstone for robust ecosystems and the continuous evolution of life on Earth. The landscape of directed evolution, a powerful biotechnological tool inspired by natural evolutionary processes, has undergone a transformative shift propelled by innovative strategies for generating genetic diversity. This shift is fuelled by several factors, encompassing the utilization of advanced toolkits like CRISPR-Cas and base editors, the enhanced comprehension of biological mechanisms, cost-effective custom oligo pool synthesis, and the seamless integration of artificial intelligence and automation. This comprehensive review looks into the myriad of methodologies employed for constructing gene libraries, both in vitro and in vivo, categorized into three major classes: random mutagenesis, focused mutagenesis, and DNA recombination. The objectives of this review are threefold: firstly, to present a panoramic overview of recent advances in genetic diversity creation; secondly, to inspire novel ideas for further innovation in genetic diversity generation; and thirdly, to provide a valuable resource for individuals entering the field of directed evolution.

Climate resilience of urban water systems: A case study of sponge cities in China

Resilience is an important aim of climate adaptation in urban development planning. Since 2015, sponge city (SC) pilot construction in China has highlighted the importance of urban water systems, but has paid insufficient attention to extreme and long-term climate change risks. This paper aims to provide a new method for evaluating the urban water system climate resilience (UWSCR), classify China cities in combination with climate hazards, conduct case studies on SC pilots, and propose ways to improve the UWSCR in SCs. Firstly, Taking heavy rain and drought as hazards, an evaluation index system of UWSCR is established, including engineering resilience (ENR), ecological resilience (ECR) and evolutionary resilience (EVR). A combination model based on the analytic hierarchy process and entropy weight method is used to measure the UWSCR of 27 SC pilot cities and 253 non-pilot cities at or above the prefecture level in China. Secondly, coordinating hazard index and UWSCR index, cities are divided into four types. The results show that the ENR and EVR of SC pilots exhibited an increasing trend from 2010 to 2020 and were greater than those of non-pilots. Among the four types, Resilient Cities and Low Risk Cities with high climate resilience (CR) were mainly distributed in the eastern and central regions of China. High Risk Cities and Vulnerable Cities with low CR were mostly distributed in the central and western regions. Among the cities of high CR, SC pilots accounted for 63.0% of the pilot samples, while non-pilots only accounted for 26.5% of the non-pilot samples. Finally, this paper analyzes the typical cases of SC pilots, and puts forward some suggestions, such as considering the UWSCR systematically and holistically, improving the ECR of UWSCR, making medium-term to long-term adaptation planning and providing differentiated policy support. The originality of this work is to identify four types of cities from the perspective of UWSCR and provide reference for improving the CR of SCs.

Muscling mussels: Understanding the invasive potential of the South American bivalve Mytella strigata (Hanley, 1843) in the Northern Indian Ocean

In past decades, non-native species invasion has emerged as one of the leading drivers of biodiversity loss in terrestrial and aquatic ecosystems globally. In aquatic ecosystems, invasion by bivalve species has increased substantially due to their evolutionary resilience and adaptability. This study aimed to determine the habitat suitability of the South American bivalve Mytella strigata in the northern Indian Ocean using Species distribution modelling. The species occurrence and environmental data for model building were extracted from GBIF, Bio-ORACLE, The World Bank Data Catalogue and GMED. Pearson's correlation (<0.7) and Variance inflation factor (<10) analyses were used to select the environmental covariates. Individual models were built by combining the native range occurrence data of Mytella strigata with the bioclimatic data under the current climatic setting. Ten individual models were built and ensembled to create the final model using the biomod2 package. The variable importance score and the response curve plot were used to identify the most crucial variable and its influence on the models. Distance to port had the highest influence on predicting the distribution of Mytella strigata. The results indicated that the western coast of India as more susceptible to invasion. Our predictions indicate that the species has the potential to become highly invasive in the region, given the vast habitat suitability and documented introduction and presence of the species in the region. This research generated baseline information on the habitat suitability of M. strigata that will aid in managing and restricting its spread in the region. Considering the substantial impact of the species in other introduced ranges worldwide, immediate action should be initiated for the swift management of M. strigata from the Indian coast.

Genetic diversity, demography and connectivity in the marine snail Thaisella chocolata (Duclos, 1832): implications for sustainable fisheries management along the Peruvian coast

ABSTRACT Thaisella chocolata is a marine gastropod (family Muricidae) occurring from northern Peru to central Chile. It is of economic importance in these countries, where hundreds of tons are caught every year. In combination with El Niño–Southern Oscillation events, fishing activity has led to the collapse of Chilean populations, raising concerns about the state of Peruvian populations. The aim of this study is to assess the demography, genetic diversity and connectivity of T. chocolata along the Peruvian coast. This would provide important insights into the resilience of this species to anthropogenic disturbance. In this study, four locations along the coast of Peru were investigated for the first time. Mitochondrial cytochrome c oxidase subunit I (COI) sequences were obtained from 116 individuals and four microsatellites from 95 individuals. Both COI (combined with 156 publicly available sequences) and microsatellite data revealed very low genetic differentiation, despite a few significant φST and FST values between population pairs. The most likely gene flow model (MIGRATE-N) is panmixia between all locations, with gene flow occurring equally northwards and southwards. This pattern may be related to the surface currents along the Peruvian coastline combined with the high pelagic larval duration of T. chocolata. Hyperdiversity was found for the COI marker (πsyn &amp;gt; 5%). Microsatellite loci were also polymorphic, with a mean diversity of 12.69 alleles per locus per population. No recent population bottleneck was observed (microsatellite data), while at least one past demographic expansion was suggested (COI data). Given the high genetic diversity and connectivity, T. chocolata is expected to show high evolutionary resilience and can be considered as one management unit in terms of fisheries management. However, further studies, on, for example, the characterization of effective population size (using numerous nuclear loci), are required to confirm this hypothesis. In addition, precautionary fisheries measures should be maintained, given the recent collapse of T. chocolata stocks in Chile.

Identifying predictors of translocation success in rare plant species.

The fundamental goal of a rare plant translocation is to create self-sustaining populations with the evolutionary resilience to persist in the long term. Yet, most plant translocation syntheses focus on a few factors influencing short-term benchmarks of success (e.g., survival and reproduction). Short-term benchmarks can be misleading when trying to infer future growth and viability because the factors that promote establishment may differ from those required for long-term persistence. We assembled a large (n = 275) and broadly representative data set of well-documented and monitored (7.9 years on average) at-risk plant translocations to identify the most important site attributes, management techniques, and species' traits for six life-cycle benchmarks and population metrics of translocation success. We used the random forest algorithm to quantify the relative importance of 29 predictor variables for each metric of success. Drivers of translocation outcomes varied across time frames and success metrics. Management techniques had the greatest relative influence on the attainment of life-cycle benchmarks and short-term population trends, whereas site attributes and species' traits were more important for population persistence and long-term trends. Specifically, large founder sizes increased the potential for reproduction and recruitment into the next generation, whereas declining habitat quality and the outplanting of species with low seed production led to increased extinction risks and a reduction in potential reproductive output in the long-term, respectively. We also detected novel interactions between some of the most important drivers, such as an increased probability of next-generation recruitment in species with greater seed production rates, but only when coupled with large founder sizes. Because most significant barriers to plant translocation success can be overcome by improving techniques or resolving site-level issues through early intervention and management, we suggest that by combining long-term monitoring with adaptive management, translocation programs can enhance the prospects of achieving long-term success.

Ecological space resilience assessment of Baiyangdian Basin from the perspective of evolutionary resilience

The structure and function of ecological spaces play a crucial role in resisting risk interference and providing ecological services. Conducting resilience assessments of ecological spaces is of great significance for maintaining ecological security. Taking the Baiyangdian Basin as the research object, based on the evaluation results of ecosystem service function importance and ecological environmental sensitivity, the ecological space importance level of the Baiyangdian Basin is divided. Based on the three basic characteristics of “resistance, adaptability, recoverability”, the resilience of ecological space model was constructed by selecting ecosystem service value, landscape structure stability, ecological resilience model and coefficient. The research results show that: (1) The overall importance index of ecological space in the Baiyangdian Basin is relatively low. The non-critical area accounted for 43.00% of the total area, the general area accounted for 30.78%, and the core area accounted for 26.22%, which mainly distributed in the northern part of the study area and at the confluence of rivers. (2) The proportion of areas with extremely important ecosystem service functions in Baiyangdian Basin is 31.73%, concentrated in the central and southwestern parts of the basin. The highly sensitive ecological environment areas accounted for 21.96%, mainly distributed in high-altitude areas in the northern part of the basin and river convergence areas. (3) On the whole, the overall resilience level of the study area is not high and there is a significant difference in resilience between the north and south, with 68.60% of the regions in the low level of resilience. The area with high resilience level accounted for only 1.51%, and the highest resilience level was found at river confluence. The research results provide a theoretical basis for maintaining and improving the ecological environment of the basin, and provide a basis for implementing precise policies to optimize the ecological space of the basin.

Adaptation and adaptability: Deciphering urban resilience from the evolutionary perspective

Given that cities are complex and evolving adaptive systems facing various crises, evolutionary resilience plays a crucial role in fostering urban sustainable development. However, the concept of evolution has been largely overlooked in cognitive assessments of urban resilience, leaving the relationships among the internal elements of urban evolutionary resilience insufficiently understood. To address this research gap, we introduce the evolutionary perspective to redefine urban resilience, and accordingly we develop a conceptual framework and evaluation model that consider two dimensions: adaptation and adaptability. Subsequently, an empirical assessment is conducted using data from 281 Chinese prefecture-level cities spanning the period from 2000 to 2019. Furthermore, we employ the marginal utility function and spatial exploration algorithm to investigate the adaptation-adaptability relationship within urban evolutionary resilience. Our findings reveal that while the overall evolutionary resilience of Chinese cities has increased by 31.91% over the past two decades, the disparities between cities have significantly widened. Additionally, the trade-off or synergetic relationship between urban adaptation and adaptability varies with the stage of urban development. Furthermore, the spatial distribution of urban agglomerations overlaps significantly with the synergy zones of urban adaptation-adaptability relationships. By providing new insights into the comprehensive and systematic evaluation of urban evolutionary resilience, this study holds the potential to inform policy and practice aimed at fostering the development of resilient cities.

Climate change outpaces adaptive potential via hybridization in nesting female Saltmarsh and Nelson’s Sparrows

Abstract Hybridization and introgression can promote adaptive potential and evolutionary resilience in response to increased pressures of climate change; they can also disrupt local adaptation and lead to outbreeding depression. We investigated female fitness consequences of hybridization in two sister species that are endemic to a threatened tidal marsh ecosystem: Saltmarsh (Ammospiza caudacutus) and Nelson’s (Ammospiza nelsoni) sparrows. We found increasing nest flooding rates due to rising sea levels are outpacing potential adaptive benefits of hybridization due to very low overall nesting success in both the Nelson’s and Saltmarsh sparrows. In the center of the hybrid zone across two years, we determined the success of 201 nests of 104 pure and admixed Saltmarsh and Nelson’s Sparrow females, genotyped using a panel of single nucleotide polymorphisms (SNPs) from double digest restriction-site associated DNA (ddRAD) sequencing. We evaluated 5 metrics of female fitness and modeled nesting success in relation to genotypic, environmental, and nesting characteristics. We found differential fitness among Saltmarsh, Nelson’s, and hybrid females, such that birds with predominantly Saltmarsh Sparrow alleles had higher reproductive success than birds with predominantly Nelson’s Sparrows alleles, and hybrids were intermediate. Fledging success increased with two known tidal marsh nesting adaptations: nest height and nesting synchrony with tidal cycles. We found a positive relationship between hybrid index and fitness in daily nest survival in 2016, but not in 2017, likely due to differing levels of precipitation and nest flooding between years. The strongest and most consistent predictors of daily nest survival were nesting synchrony with lunar tidal flooding cycles and daily maximum tide height. Fitness patterns suggest that there may be an adaptive benefit of interspecific geneflow for the Nelson’s Sparrow at the detriment of the Saltmarsh Sparrow; however, flooding rates are so high in many years they mask any fitness differences between the species, and all females had poor nesting success, regardless of genetic makeup.

Examining governance of post-earthquake reconstruction planning from an evolutionary resilience perspective

Purpose The politically laden nature of postdisaster recovery calls for more research on its governance, especially at the micro-scale. Apart from engineering-oriented frameworks, researchers need new theoretical underpinnings. This paper aims to review the development of the evolutionary resilience theory and use it as an analytical framework to evaluate the governance of post-earthquake reconstruction planning in China. Design/methodology/approach This paper examines how reconstruction planning is governed in the epicenter town of the 2008 Great Sichuan Earthquake, highlighting three key qualities of evolutionary resilience. The authors draw on site investigations, semistructured interviews and analysis of official and unpublished documents from various sources. Findings This paper finds that despite the absence of specific resilience statements in reconstruction plans of the time, qualities of evolutionary resilience, including social connectedness, flexibility and innovation, were evident in a hybrid and contradictory reconstruction planning system. In this respect, resilience thinking appears in Chinese planning earlier than generally assumed. This paper suggests that this manifestation of resilience was the result of an instrumental utility in addressing socioeconomic uncertainties in the postdisaster environment and, thus, may not be systematic. Originality/value This work enriches the understanding of recovery governance from an evolutionary resilience perspective where existing research is insufficient. It also offers ample practical guidance for similar cases in China and elsewhere.

Population genomic analysis reveals distinct demographics and recent adaptation in the black flying fox (Pteropus alecto)

As the only mammalian group capable of powered flight, bats have many unique biological traits. Previous comparative genomic studies in bats have focused on long-term evolution. However, the micro-evolutionary processes driving recent evolution are largely under-explored. Using resequencing data from 50 black flying foxes (Pteropus alecto), one of the model species for bats, we find that black flying fox has much higher genetic diversity and lower levels of linkage disequilibrium than most of the mammalian species. Demographic inference reveals strong population fluctuations (>100 fold) coinciding with multiple historical events including the last glacial change and Toba super eruption, suggesting that the black flying fox is a very resilient species with strong recovery abilities. While long-term adaptation in the black flying fox is enriched in metabolic genes, recent adaptation in the black flying fox has a unique landscape where recently selected genes are not strongly enriched in any functional category. The demographic history and mode of adaptation suggest that black flying fox might be a well-adapted species with strong evolutionary resilience. Taken together, this study unravels a vibrant landscape of recent evolution for the black flying fox and sheds light on several unique evolutionary processes for bats comparing to other mammalian groups.

Resilience of the Russian coal industry in the context of energy transition and decarbonization

The authors undertake an assessment of growth prospects of the Russian coal industry in the modern world using the economic resilience concept. To this effect, the concept is adapted to the industry analysis. The modern research approaches to resilience&mdash;the engineering (equilibrium), ecological and evolutionary resilience&mdash;are compared, the strong points and vulnerabilities of each approach are discussed with a view to the coal industry analysis, and the time limits of the analysis are selected. The study identifies and substantiates the tools and criteria most suitable for the resilience analysis of the coal industry. The authorial procedure of assessment of the current and long-term resilience in the Russian coal industry synthesizes the general resilience index &beta;rescom and the aggregate resilience index m &beta;res&amp;&beta;com. The current and long-term resilience of the Russian coal industry is assessed over the period of 2011&ndash;2018, four segments with different current and long-term resilience are specified in the industry, and the companies in each segment are described. The accomplished analysis has allowed the authors to arrive at a well-found conclusion on the current and long-term nonresilience of the Russian coal industry between 2011 and 2018, and, moreover, the situation gets even worse under conditions of energy transition and economic sanctions. Yet the authors claim a differentiated approach to selecting development trajectories for individual segments of the coal industry can help stabilize the state of things. The study was supported by the Russian Science Foundation, Project&nbsp;No. 22&ndash;28-01803, https://rscf.ru/project/22-28-01803/, and used&nbsp;equipment of the Shared Use Center at the Kemerovo State University&nbsp;under the state contract with the Ministry of Science and Higher Education&nbsp;of the Russian Federation, Contract No. 075-15-2021-694 dated 5&nbsp;August 2021, ID RF-2296.61321X0032.

Rural creativity for community revitalization in Bishan Village, China: The nexus of creative practices, cultural revival, and social resilience

This paper reports a case study of the community revitalization initiative in Bishan Village, Anhui Province, China, which is art-oriented and overseen by the renowned art curator Ou Ning and his colleagues. The Bishan Project, launched in 2011, is analysed as an attempt to revive the countryside through cultural and creative innovations. This responds to the recent emphasis in rural studies on arts and creativities as effective interventions into rural revival and development. To comprehend the vibrant, resilient, and innovative ruralities that are proliferating around the world, the post-productivism thesis casts important light on the revival and revalorization of rural places by way of the diversification of rural livelihoods and economies. However, the focus on cultural consumption by urban consumers cannot account for the varied constellations of economic, social, and cultural innovations that contribute to the swift reinvention of rurality. Engaging instead with the literature on rural creativity, which examines the crucial role of creative practices in restoring rural subjectivities and remedying the social fabrics in rural regions, this study suggests that creative initiatives intervene in and catalyst the restoration of local cultures and social relations, and contribute to an evolutionary resilience that is nonetheless contested and indeterminate, revolving around tensions between the cultural authority of artists and villagers’ uneven participation; and between local villagers’ aspiration for economic development and artists’ reluctance to capitalize on rural creativities.

Foreseeing the future of Posidonia oceanica meadows by accounting for the past evolution of the Mediterranean Sea

Abstract The current warming of the Mediterranean Sea has been forecast to lead to the shrinkage of seagrass meadows. We agree that rising sea temperatures most likely will have immediate negative effects on them because present-day asexually reproducing clones of Posidonia oceanica were likely selected as a form of resistance under suboptimal conditions during the colder temperatures of the last glaciation. However, since the evolution of P. oceanica has happened under tropical/subtropical conditions for tens of millions of years, some kind of evolutionary resilience to high temperatures is to be expected. We suggest that the ability of P. oceanica plants to reproduce sexually when water temperature is &amp;gt;27°C might lead in the future to the selection of warm-loving plants (as warm-sensitive clones decline), with an associated increase in genetic variability in the species gene pool. Predictions focused exclusively on the future decline of cold-selected (warm-sensitive) clones may result in short-sighted forecasts because the deep history of the taxon is overlooked. We suggest that an evolutionary-based approach should be more often considered when analysing the present declines of animal and plant species. We provide some additional examples of cases in which this could be done.

Incorporating evolutionary and threat processes into crop wild relatives conservation

Crop wild relatives (CWR) intra- and interspecific diversity is essential for crop breeding and food security. However, intraspecific genetic diversity, which is central given the idiosyncratic threats to species in landscapes, is usually not considered in planning frameworks. Here, we introduce an approach to develop proxies of genetic differentiation to identify conservation areas, applying systematic conservation planning tools that produce hierarchical prioritizations of the landscape. It accounts for: (i) evolutionary processes, including historical and environmental drivers of genetic diversity, and (ii) threat processes, considering taxa-specific tolerance to human-modified habitats, and their extinction risk status. Our analyses can be used as inputs for developing national action plans for the conservation and use of CWR. Our results also inform public policy to mitigate threat processes to CWR (like crops living modified organisms or agriculture subsidies), and could advise future research (e.g. for potential germplasm collecting). Although we focus on Mesoamerican CWR within Mexico, our methodology offers opportunities to effectively guide conservation and monitoring strategies to safeguard the evolutionary resilience of any taxa, including in regions of complex evolutionary histories and mosaic landscapes.