Citation: Richards, J.; Brimblecombe, P.
Tuning and Effectiveness in Heritage
Models. Heritage 2023, 6, 5516–5523.
https://doi.org/10.3390/
heritage6070290
Received: 17 June 2023
Accepted: 11 July 2023
Published: 21 July 2023
Copyright: © 2023 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
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4.0/).
heritage
Editorial
Tuning and Effectiveness in Heritage Models
Jenny Richards
1,2
and Peter Brimblecombe
3,
*
1
St John’s College, Oxford University, Oxford OX1 3JP, UK; jennifer.richards@sjc.ox.ac.uk
2
School of Geography and the Environment, Oxford University, Oxford OX1 3QY, UK
3
Department of Marine Environment and Engineering, National Sun Yat-sen University, Kaohsiung 804201, Taiwan
* Correspondence: p.brimblecombe@uea.ac.uk
Abstract: Modelling can explore heritage responses to environmental pressures over wide spatial
and temporal scales, testing both theory and process. However, compared to other fields, modelling
approaches are not yet as common in heritage management. Some heritage models have become well
known, though they struggle to have an impact beyond academia, with limited practical applications.
Successful models appear to be adaptable to multiple sites or objects, intuitive to use, run using
widely available software and produce output translatable into practical actions. Model tuning is
also vital for the model to be effective. A specific purpose should be determined from the outset to
enable tuning in the earliest design stages. Heritage models can be developed to explore theories
or processes that affect or interact with heritage. Input should also be tuned to relevant temporal
and spatial scales and consider duration and location. Additionally, it is important to account for
materials and elements specific to heritage. Models need to be useful and usable if they are to be
effective. User-friendly programs and interfaces help practical use. However, success can create
problems, as input and output could become socially or commercially sensitive. The wider use of
models may require broader discussion among heritage professionals and the provision of training.
Keywords: climate change; heritage climate; purpose; process; theory; scale; material; applicability
1. Introduction
Heritage sites and objects possess a uniqueness that makes them irreplaceable [1].
However, heritage faces many threats, which can result in a loss of artistic worth and
evidential value [2,3], although others might see this as an acceptable process of change [4].
Heritage practitioners and scientists need novel approaches to investigate processes that
pose a threat to heritage to manage the pressures at heritage sites [5]. The methods used
in field experiments can be highly constrained due to the potential for causing damage
to objects or sites, and laboratory experiments take place in highly controlled conditions.
Modelling methods allow for a safe mode of experimentation that can incorporate multiple
processes over a wide range of spatial and temporal scales and enable the testing of both
theory and process regimes.
Within the heritage field, several models have become well known, and their find-
ings are frequently cited. Examples include the model output of future heritage climate
developed under EU-funded projects, such as NOAHs ARK [6] and Climate for Culture [7].
However, these models, along with ones published in the recent academic literature, have
often struggled to have a substantial impact on practice, predominantly remaining within
the academic sphere [8]. The use of models in heritage science has been relatively uncom-
mon when compared with other practical fields [8].
When models are used in practice, such applications are often recorded in the grey
literature, which can limit a widening readership. Models that have gained broader
adoption in practical contexts and influenced heritage management have tended to be:
(i) adaptable to multiple sites or objects, (ii) intuitive to use, with, for example, a graphical
user interface, (iii) run using widely available software and (iv) produce outputs that are
Heritage 2023, 6, 5516–5523. https://doi.org/10.3390/heritage6070290 https://www.mdpi.com/journal/heritage