Relevant bibliographies by topics / Adaptive or fitness landscapes

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Adaptive or fitness landscapes'

Author: Grafiati
Published: 9 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Adaptive or fitness landscapes"

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Srivastava, Malvika, and Joshua L. Payne. "On the incongruence of genotype-phenotype and fitness landscapes." PLOS Computational Biology 18, no. 9 (2022): e1010524. http://dx.doi.org/10.1371/journal.pcbi.1010524.

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The mapping from genotype to phenotype to fitness typically involves multiple nonlinearities that can transform the effects of mutations. For example, mutations may contribute additively to a phenotype, but their effects on fitness may combine non-additively because selection favors a low or intermediate value of that phenotype. This can cause incongruence between the topographical properties of a fitness landscape and its underlying genotype-phenotype landscape. Yet, genotype-phenotype landscapes are often used as a proxy for fitness landscapes to study the dynamics and predictability of evol
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Zheng, Liming, and Shiqi Luo. "Adaptive Differential Evolution Algorithm Based on Fitness Landscape Characteristic." Mathematics 10, no. 9 (2022): 1511. http://dx.doi.org/10.3390/math10091511.

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Differential evolution (DE) is a simple, effective, and robust algorithm, which has demonstrated excellent performance in dealing with global optimization problems. However, different search strategies are designed for different fitness landscape conditions to find the optimal solution, and there is not a single strategy that can be suitable for all fitness landscapes. As a result, developing a strategy to adaptively steer population evolution based on fitness landscape is critical. Motivated by this fact, in this paper, a novel adaptive DE based on fitness landscape (FL-ADE) is proposed, whic
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Trujillo, Leonardo, Paul Banse, and Guillaume Beslon. "Getting higher on rugged landscapes: Inversion mutations open access to fitter adaptive peaks in NK fitness landscapes." PLOS Computational Biology 18, no. 10 (2022): e1010647. http://dx.doi.org/10.1371/journal.pcbi.1010647.

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Molecular evolution is often conceptualised as adaptive walks on rugged fitness landscapes, driven by mutations and constrained by incremental fitness selection. It is well known that epistasis shapes the ruggedness of the landscape’s surface, outlining their topography (with high-fitness peaks separated by valleys of lower fitness genotypes). However, within the strong selection weak mutation (SSWM) limit, once an adaptive walk reaches a local peak, natural selection restricts passage through downstream paths and hampers any possibility of reaching higher fitness values. Here, in addition to
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Reia, Sandro M., and Paulo R. A. Campos. "Analysis of statistical correlations between properties of adaptive walks in fitness landscapes." Royal Society Open Science 7, no. 1 (2020): 192118. http://dx.doi.org/10.1098/rsos.192118.

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The fitness landscape metaphor has been central in our way of thinking about adaptation. In this scenario, adaptive walks are idealized dynamics that mimic the uphill movement of an evolving population towards a fitness peak of the landscape. Recent works in experimental evolution have demonstrated that the constraints imposed by epistasis are responsible for reducing the number of accessible mutational pathways towards fitness peaks. Here, we exhaustively analyse the statistical properties of adaptive walks for two empirical fitness landscapes and theoretical NK landscapes. Some general concl
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Li, Ye, and Claus O. Wilke. "Digital Evolution in Time-Dependent Fitness Landscapes." Artificial Life 10, no. 2 (2004): 123–34. http://dx.doi.org/10.1162/106454604773563559.

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We study the response of populations of digital organisms that adapt to a time-varying (periodic) fitness landscape of two oscillating peaks. We corroborate in general predictions from quasi-species theory in dynamic landscapes, such as adaptation to the average fitness landscape at small periods (high frequency) and quasistatic adaptation at large periods (low frequency). We also observe adaptive phase shifts (time lags between a change in the fitness landscape and an adaptive change in the population) that indicate a low-pass filter effect, in agreement with existing theory. Finally, we witn
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Bajić, Djordje, Jean C. C. Vila, Zachary D. Blount, and Alvaro Sánchez. "On the deformability of an empirical fitness landscape by microbial evolution." Proceedings of the National Academy of Sciences 115, no. 44 (2018): 11286–91. http://dx.doi.org/10.1073/pnas.1808485115.

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A fitness landscape is a map between the genotype and its reproductive success in a given environment. The topography of fitness landscapes largely governs adaptive dynamics, constraining evolutionary trajectories and the predictability of evolution. Theory suggests that this topography can be deformed by mutations that produce substantial changes to the environment. Despite its importance, the deformability of fitness landscapes has not been systematically studied beyond abstract models, and little is known about its reach and consequences in empirical systems. Here we have systematically cha
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Bertram, Jason, and Joanna Masel. "Evolution Rapidly Optimizes Stability and Aggregation in Lattice Proteins Despite Pervasive Landscape Valleys and Mazes." Genetics 214, no. 4 (2020): 1047–57. http://dx.doi.org/10.1534/genetics.120.302815.

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The “fitness” landscapes of genetic sequences are characterized by high dimensionality and “ruggedness” due to sign epistasis. Ascending from low to high fitness on such landscapes can be difficult because adaptive trajectories get stuck at low-fitness local peaks. Compounding matters, recent theoretical arguments have proposed that extremely long, winding adaptive paths may be required to reach even local peaks: a “maze-like” landscape topography. The extent to which peaks and mazes shape the mode and tempo of evolution is poorly understood, due to empirical limitations and the abstractness o
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Cervera, Héctor, Jasna Lalić, and Santiago F. Elena. "Effect of Host Species on Topography of the Fitness Landscape for a Plant RNA Virus." Journal of Virology 90, no. 22 (2016): 10160–69. http://dx.doi.org/10.1128/jvi.01243-16.

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ABSTRACTAdaptive fitness landscapes are a fundamental concept in evolutionary biology that relate the genotypes of individuals to their fitness. In the end, the evolutionary fate of evolving populations depends on the topography of the landscape, that is, the numbers of accessible mutational pathways and possible fitness peaks (i.e., adaptive solutions). For a long time, fitness landscapes were only theoretical constructions due to a lack of precise information on the mapping between genotypes and phenotypes. In recent years, however, efforts have been devoted to characterizing the properties
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Beck, Richard J., and Noemi Andor. "Abstract PR018: Adaptive local fitness landscapes for aneuploid karyotypes." Cancer Research 84, no. 3_Supplement_2 (2024): PR018. http://dx.doi.org/10.1158/1538-7445.canevol23-pr018.

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Abstract Aneuploidy, which occurs in most solid tumors, dramatically alters the expression of many genes which in turn has broad phenotypic effects. Recent evidence suggests that specific aneuploid karyotypes confer a selective advantage. However, various questions remain unanswered regarding the magnitude of these selective advantages, as well as the repeatability and predictability of karyotype evolution. We developed ALFA-K (Adaptive Local Fitness landscapes for Aneuploid Karotypes) – the first approach to infer karyotype fitness landscapes in a context-dependent manner. Based on the dynami
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Wilke, Claus O., and Thomas Martinetz. "Adaptive walks on time-dependent fitness landscapes." Physical Review E 60, no. 2 (1999): 2154–59. http://dx.doi.org/10.1103/physreve.60.2154.

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Dissertations / Theses on the topic "Adaptive or fitness landscapes"

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SERRELLI, EMANUELE. "Adaptive landscapes: a case study of metaphors, models, and synthesis in evolutionary biology." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2011. http://hdl.handle.net/10281/19338.

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This dissertation brings a contribution to the philosophical debate on adaptive landscapes, an influent "model" or "metaphor" in evolutionary biology. Some elements of innovation are: the distinction between native and migrant metaphor; a processual and communicational idea on what the Modern Synthesis was, and on what role a metaphor could have played in it; a view (taken by Richard Lewontin) of the disunity and theoretical structure of population genetics; the distinction between “adaptive surfaces” (mainly metaphors) and “combination spaces”, two terms normally conflated in the word “landsc
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Thareja, Gaurav. "Mapping the adaptive landscape of cancer cells using a multiomics approach." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASL075.

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Le cancer est considéré principalement comme une maladie de la cellule. Certaines cellules cancéreuses acquièrent un avantage adaptatif sous la pression sélective d’un microenvironnement dynamique qui leur permet de surpasser les autres cellules cancéreuses, favorisant leur expansion. Par conséquent, ce travail de thèse vise à cartographier le paysage adaptatif des cellules cancéreuses à l’aide d’une approche multiomique.L’étude d’association pangénomique a montré l’effet des mutations germinales sur les niveaux d’expression 64 protéines cancéreuses listées dans OncoKB et a permis l’identifica
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Meer, Margarita V. 1986. "Exploring fitness landscapes." Doctoral thesis, Universitat Pompeu Fabra, 2015. http://hdl.handle.net/10803/402192.

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Fitness landscape is a concept, which describes the dependence of phenotype on genotype. It was proposed almost a hundred years ago but only recent burst of technologies finally allowed exploring it. We studied different aspects of fitness landscape applying both: computational and experimental approaches. Using mammalian mitochondrial tRNAs we proved that evolution can proceed not only along the ridges of high fitness but also cross the low fitness valleys. Functional analysis of more than 56 000 mutants of green fluorescent protein from Aequorea victoria (avGFP) allowed us to describe
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Di, Pietro Anthony. "Optimising evolutionary strategies for problems with varying noise strength." University of Western Australia. School of Computer Science and Software Engineering, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0210.

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For many real-world applications of evolutionary computation, the fitness function is obscured by random noise. This interferes with the evaluation and selection processes and adversely affects the performance of the algorithm. Noise can be effectively eliminated by averaging a large number of fitness samples for each candidate, but the number of samples used per candidate (the resampling rate) required to achieve this is usually prohibitively large and time-consuming. Hence there is a practical need for algorithms that handle noise without eliminating it. Moreover, the amount of noise (noise
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Karlsen, Ero Stig. "Learning and Evolution in Complex Fitness Landscapes." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8712.

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<p>The Baldwin effect is the notion that life time adaptation can speed up evolution by 1) identifying good traits and 2) by genetic assimilation inscribing the traits in the population genetically. This thesis investigates the Baldwin effect by giving an introduction to its history, its current status in evolutionary biology and by reviewing some important experiments on the Baldwin effect in artificial life. It is shown that the Baldwin effect is perceived differently in the two fields; in evolutionary biology the phenomenon is surrounded by controversy, while the approach in artificial life
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Herrmann, Sebastian [Verfasser]. "Complex network analysis of fitness landscapes / Sebastian Herrmann." Mainz : Universitätsbibliothek Mainz, 2017. http://d-nb.info/1122760159/34.

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Barnett, Lionel. "Evolutionary search on fitness landscapes with neutral networks." Thesis, University of Sussex, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288614.

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Hietpas, Ryan T. "Experimental Illumination of Comprehensive Fitness Landscapes: A Dissertation." eScholarship@UMMS, 2013. https://escholarship.umassmed.edu/gsbs_diss/667.

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Evolution is the single cohesive logical framework in which all biological processes may exist simultaneously. Incremental changes in phenotype over imperceptibly large timescales have given rise to the enormous diversity of life we witness on earth both presently and through the natural record. The basic unit of evolution is mutation, and by perturbing biological processes, mutations may alter the fitness of an individual. However, the fitness effect of a mutation is difficult to infer from historical record, and complex to obtain experimentally in an efficient and accurate manner. We have re
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Hietpas, Ryan T. "Experimental Illumination of Comprehensive Fitness Landscapes: A Dissertation." eScholarship@UMMS, 2006. http://escholarship.umassmed.edu/gsbs_diss/667.

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Evolution is the single cohesive logical framework in which all biological processes may exist simultaneously. Incremental changes in phenotype over imperceptibly large timescales have given rise to the enormous diversity of life we witness on earth both presently and through the natural record. The basic unit of evolution is mutation, and by perturbing biological processes, mutations may alter the fitness of an individual. However, the fitness effect of a mutation is difficult to infer from historical record, and complex to obtain experimentally in an efficient and accurate manner. We have re
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Lu, Guanzhou. "Characterising fitness landscapes with fitness-probability cloud and its applications to algorithm configuration." Thesis, University of Birmingham, 2014. http://etheses.bham.ac.uk//id/eprint/4756/.

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Metaheuristics are approximation optimisation techniques widely applied to solve complex optimisation problems. Despite a large number of developed metaheuristic algorithms, a limited amount of work has been done to understand on which kinds of problems the proposed algorithm will perform well or poorly and why. A useful solution to this dilemma is to use fitness landscape analysis to gain an in-depth understanding of which algorithms, or algorithm variants are best suited for solving which kinds of problem instances, even to dynamically determine the best algorithm configuration during differ
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Books on the topic "Adaptive or fitness landscapes"

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Colfer, Carol J. Pierce, Ravi Prabhu, and Anne M. Larson. Adaptive Collaborative Management in Forest Landscapes. Routledge, 2021. http://dx.doi.org/10.4324/9781003197256.

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McGhee, George R. The geometry of evolution: Adaptive landscapes and theoretical morphospaces. Cambridge University Press, 2007.

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Richter, Hendrik, and Andries Engelbrecht, eds. Recent Advances in the Theory and Application of Fitness Landscapes. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41888-4.

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1965-, Williams Allison, ed. Therapeutic landscapes. Ashgate, 2007.

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Shamoon, Patwari, and Tang, Bo (Bo Ming), 1983-, eds. Learning from Delhi: Dispersed initiatives in changing urban landscapes. Ashgate, 2010.

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Blazej, Lucian Robert. Notice of determination: [Metro Theater adaptive re-use project, 2055 Union Street]. Planning Dept., 2011.

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Conference on Adaptive Ecosystem Restoration and Management: Restoration of Cordilleran Conifer Landscapes of North America (1996 Flagstaff, Ariz.). Conference on Adaptive Ecosystem Restoration and Management--Restoration of Cordilleran Conifer Landscapes of North America: June 6-8, 1996, Flagstaff, Arizona. U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1996.

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Conference on Adaptive Ecosystem Restoration and Management: Restoration of Cordilleran Conifer Landscapes of North America (1996 Flagstaff, Ariz.). Conference on Adaptive Ecosystem Restoration and Management--Restoration of Cordilleran Conifer Landscapes of North America: June 6-8, 1996, Flagstaff, Arizona. U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1996.

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Chang, Mark. Introductory adaptive trial designs: A practical guide with R. CRC Press, 2015.

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Marc, Treib, ed. Spatial recall: Memory in architecture and landscape. Routledge, 2009.

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Book chapters on the topic "Adaptive or fitness landscapes"

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Crossley, Matthew, Andy Nisbet, and Martyn Amos. "Fitness Landscape-Based Characterisation of Nature-Inspired Algorithms." In Adaptive and Natural Computing Algorithms. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37213-1_12.

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Reeves, Colin R. "Fitness Landscapes." In Search Methodologies. Springer US, 2013. http://dx.doi.org/10.1007/978-1-4614-6940-7_22.

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Adami, Christoph. "Fitness Landscapes." In Introduction to Artificial Life. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-1650-6_8.

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Langdon, William B., and Riccardo Poli. "Fitness Landscapes." In Foundations of Genetic Programming. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04726-2_2.

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Schuster, Peter. "Quasispecies on Fitness Landscapes." In Current Topics in Microbiology and Immunology. Springer International Publishing, 2015. http://dx.doi.org/10.1007/82_2015_469.

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Peliti, Luca. "Fitness Landscapes and Evolution." In Physics of Biomaterials: Fluctuations, Selfassembly and Evolution. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-1722-4_13.

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Hénaux, Vincent, Adrien Goëffon, and Frédéric Saubion. "Evolving Fitness Landscapes with Complementary Fitness Functions." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45715-0_9.

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Richter, Hendrik. "Fitness Landscapes and Evolutionary Dynamics." In Advances in Intelligent Systems and Computing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-33227-2_2.

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Reeves, Colin R. "Fitness Landscapes and Evolutionary Algorithms." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10721187_1.

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Langdon, W. B. "Convergence of Program Fitness Landscapes." In Genetic and Evolutionary Computation — GECCO 2003. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45110-2_63.

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Conference papers on the topic "Adaptive or fitness landscapes"

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Paperin, Greg, David Green, Alan Dorin, Tuan D. Pham, and Xiaobo Zhou. "Fitness Landscapes in Individual-Based Simulation Models of Adaptive Radiation." In COMPUTATIONAL MODELS FOR LIFE SCIENCES/CMLS '07. AIP, 2007. http://dx.doi.org/10.1063/1.2816631.

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Owen, Alan, and Inman Harvey. "Adapting Particle Swarm Optimisation for Fitness Landscapes with Neutrality." In 2007 IEEE Swarm Intelligence Symposium. IEEE, 2007. http://dx.doi.org/10.1109/sis.2007.367946.

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Pei, Yan, and Hideyuki Takagi. "Fitness Landscape Approximation by Adaptive Support Vector Regression with Opposition-Based Learning." In 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013). IEEE, 2013. http://dx.doi.org/10.1109/smc.2013.230.

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Kuk, Josiel, Richard Goncalves, and Aurora Pozo. "Combining Fitness Landscape Analysis and Adaptive Operator Selection in Multi and Many-Objective Optimization." In 2019 8th Brazilian Conference on Intelligent Systems (BRACIS). IEEE, 2019. http://dx.doi.org/10.1109/bracis.2019.00094.

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Amirghasemi, Mehrdad, and Reza Zamani. "The Roles of Evolutionary Computation, Fitness Landscape, Constructive Methods and Local Searches in the Development of Adaptive Systems for Infrastructure Planning." In International Symposium for Next Generation Infrastructure. University of Wollongong, SMART Infrastructure Facility, 2014. http://dx.doi.org/10.14453/isngi2013.proc.2.

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Verel, Sébastien. "Fitness landscapes and graphs." In the 11th annual conference companion. ACM Press, 2009. http://dx.doi.org/10.1145/1570256.1570431.

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Verel, Sebastien. "Fitness landscapes and graphs." In Proceeding of the fifteenth annual conference companion. ACM Press, 2013. http://dx.doi.org/10.1145/2464576.2480804.

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Verel, Sébastien. "Fitness landscapes and graphs." In the fourteenth international conference. ACM Press, 2012. http://dx.doi.org/10.1145/2330784.2330927.

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Troiano, L. "On aggregation of fitness landscapes." In 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC 2010). IEEE, 2010. http://dx.doi.org/10.1109/nabic.2010.5716379.

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Verel, Sebastien, Arnaud Liefooghe, and Clarisse Dhaenens. "Set-based multiobjective fitness landscapes." In the 13th annual conference. ACM Press, 2011. http://dx.doi.org/10.1145/2001576.2001681.

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Reports on the topic "Adaptive or fitness landscapes"

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Mai Phuong, Nguyen, Hanna North, Duong Minh Tuan, and Nguyen Manh Cuong. Assessment of women’s benefits and constraints in participating in agroforestry exemplar landscapes. World Agroforestry, 2021. http://dx.doi.org/10.5716/wp21015.pdf.

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Participating in the exemplar landscapes of the Developing and Promoting Market-Based Agroforestry and Forest Rehabilitation Options for Northwest Vietnam project has had positive impacts on ethnic women, such as increasing their networks and decision-making and public speaking skills. However, the rate of female farmers accessing and using project extension material or participating in project nurseries and applying agroforestry techniques was limited. This requires understanding of the real needs and interests grounded in the socio-cultural contexts of the ethnic groups living in the Norther
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Lasko, Kristofer, Francis O’Neill, and Elena Sava. Automated mapping of land cover type within international heterogenous landscapes using Sentinel-2 imagery with ancillary geospatial data. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49367.

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A near-global framework for automated training data generation and land cover classification using shallow machine learning with low-density time series imagery does not exist. This study presents a methodology to map nine-class, six-class, and five-class land cover using two dates of a Sentinel-2 granule across seven international sites. The approach uses a series of spectral, textural, and distance decision functions combined with modified ancillary layers to create binary masks from which to generate a balanced set of training data applied to a random forest classifier. For the land cover m
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Ortiz-Vargas, Andrea, Dominic Sett, Jonas Hansohm, et al. Opportunities for improved flood risk management and adaptation in Hue, Central Viet Nam: Addressing current and future flood risks. United Nations University Institute for Environment and Human Security, 2025. https://doi.org/10.53324/qcds7239.

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Hue City in Central Viet Nam is increasingly vulnerable to recurrent flooding, driven by climate change, rapid urbanization, and environmental degradation. Building on the findings of the FloodAdaptVN Risk Report, which identified the root causes and drivers of flood risk, this report shifts the focus to actionable, evidence-based solutions for improving flood risk management and adaptation strategies in the region. Using a participatory approach complemented by literature-based assessments, the report identifies and evaluates a diverse set of structural, social, institutional, and ecosystem-b
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Ricci, Glenn, Sarah Gaines, and Amanda Babson. Integrated coastal climate change vulnerability assessment: George Washington Birthplace National Monument. National Park Service, 2024. http://dx.doi.org/10.36967/2304901.

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Through a series of workshops, a team of National Park Service, University of Rhode Island and related experts conducted a climate change vulnerability assessment to integrate issues across natural resources, cultural resources, and facilities for George Washington Birthplace National Monument (NM). This assessment used existing methods (Ricci et al. 2019a) and data, and expert knowledge to understand the general trends in current (2022) and future (2050, 2100) vulnerability and adaptive capacity. Climate stressors included sea level rise (SLR), storm surge, flooding, erosion rates, and precip
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Michalak, Julia, Josh Lawler, John Gross, and Caitlin Littlefield. A strategic analysis of climate vulnerability of national park resources and values. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2287214.

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The U.S. national parks have experienced significant climate-change impacts and rapid, on-going changes are expected to continue. Despite the significant climate-change vulnerabilities facing parks, relatively few parks have conducted comprehensive climate-change vulnerability assessments, defined as assessments that synthesize vulnerability information from a wide range of sources, identify key climate-change impacts, and prioritize vulnerable park resources (Michalak et al. In review). In recognition that funding and planning capacity is limited, this project was initiated to identify geogra
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Brandt, Leslie A., Cait Rottler, Wendy S. Gordon, et al. Vulnerability of Austin’s urban forest and natural areas: A report from the Urban Forestry Climate Change Response Framework. U.S. Department of Agriculture, Northern Forests Climate Hub, 2020. http://dx.doi.org/10.32747/2020.7204069.ch.

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The trees, developed green spaces, and natural areas within the City of Austin’s 400,882 acres will face direct and indirect impacts from a changing climate over the 21st century. This assessment evaluates the vulnerability of urban trees and natural and developed landscapes within the City Austin to a range of future climates. We synthesized and summarized information on the contemporary landscape, provided information on past climate trends, and illustrated a range of projected future climates. We used this information to inform models of habitat suitability for trees native to the area. Pro
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Statement Social Archaeology of Climate Change. Universitatsbibliothek Kiel, 2023. http://dx.doi.org/10.38071/2023-00108-4.

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SACC is an independent group of researchers working on climate change in the past constituted in Kiel. The aim of SACC is to bring together international scientists and representatives of important international organisations in the fields of archaeology, paleoecology and heritage management to discuss and evaluate the contribution of archaeological and paleo-ecological research to understand the link between social, c ultural, ecological and climatic change; and to highlight how archaeology, through the study of past adaptive behaviour, is able to enhance socio-ecological resilience of societ
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