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Building bridges between natural and social science disciplines: a standardized methodology to combine data on ecosystem quality trends

Despite a growing interest in interdisciplinary research, systematic ways of how to integrate data from different disciplines are still scarce. We argue that successful resource management relies on two key data sources: natural science data, which represents ecosystem structure and processes, and s...

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Main Authors: Richter, I., Roberts, B. R., Sailley, S. F., Sullivan, E., Cheung, V. V., Eales, J., Fortnam, M., Jontila, J. B., Maharja, C., Nguyen, T. Ha., Pahl, S., Praptiwi, R. A., Sugardjito, J., Sumeldan, J. D. C., Syazwan, W. M., Then, A. Y., Austen, M. C.
Format: Article
Published: The Royal Society Publishing 2022
Online Access:http://psasir.upm.edu.my/id/eprint/100571/
https://royalsocietypublishing.org/doi/10.1098/rstb.2021.0487
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spelling my.upm.eprints.1005712023-10-10T02:23:15Z http://psasir.upm.edu.my/id/eprint/100571/ Building bridges between natural and social science disciplines: a standardized methodology to combine data on ecosystem quality trends Richter, I. Roberts, B. R. Sailley, S. F. Sullivan, E. Cheung, V. V. Eales, J. Fortnam, M. Jontila, J. B. Maharja, C. Nguyen, T. Ha. Pahl, S. Praptiwi, R. A. Sugardjito, J. Sumeldan, J. D. C. Syazwan, W. M. Then, A. Y. Austen, M. C. Despite a growing interest in interdisciplinary research, systematic ways of how to integrate data from different disciplines are still scarce. We argue that successful resource management relies on two key data sources: natural science data, which represents ecosystem structure and processes, and social science data, which describes people's perceptions and understanding. Both are vital, mutually complementing information sources that can underpin the development of feasible and effective policies and management interventions. To harvest the added value of combined knowledge, a uniform scaling system is needed. In this paper, we propose a standardized methodology to connect and explore different types of quantitative data from the natural and social sciences reflecting temporal trends in ecosystem quality. We demonstrate this methodology with different types of data such as fisheries stocks and mangrove cover on the one hand and community's perceptions on the other. The example data are collected from three United Nations Educational Scientific and Cultural Organization (UNESCO) Biosphere reserves and one marine park in Southeast Asia. To easily identify patterns of convergence or divergence among the datasets, we propose heat maps using colour codes and icons for language- and education-independent understandability. Finally, we discuss the limitations as well as potential implications for resource management and the accompanying communication strategies. The Royal Society Publishing 2022-07-04 Article PeerReviewed Richter, I. and Roberts, B. R. and Sailley, S. F. and Sullivan, E. and Cheung, V. V. and Eales, J. and Fortnam, M. and Jontila, J. B. and Maharja, C. and Nguyen, T. Ha. and Pahl, S. and Praptiwi, R. A. and Sugardjito, J. and Sumeldan, J. D. C. and Syazwan, W. M. and Then, A. Y. and Austen, M. C. (2022) Building bridges between natural and social science disciplines: a standardized methodology to combine data on ecosystem quality trends. Philosophical Transactions of the Royal Society B: Biological Sciences, 377 (1854). art. no. 20210487. pp. 1-16. ISSN 0962-8436; ESSN: 1471-2970 https://royalsocietypublishing.org/doi/10.1098/rstb.2021.0487 10.1098/rstb.2021.0487
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description Despite a growing interest in interdisciplinary research, systematic ways of how to integrate data from different disciplines are still scarce. We argue that successful resource management relies on two key data sources: natural science data, which represents ecosystem structure and processes, and social science data, which describes people's perceptions and understanding. Both are vital, mutually complementing information sources that can underpin the development of feasible and effective policies and management interventions. To harvest the added value of combined knowledge, a uniform scaling system is needed. In this paper, we propose a standardized methodology to connect and explore different types of quantitative data from the natural and social sciences reflecting temporal trends in ecosystem quality. We demonstrate this methodology with different types of data such as fisheries stocks and mangrove cover on the one hand and community's perceptions on the other. The example data are collected from three United Nations Educational Scientific and Cultural Organization (UNESCO) Biosphere reserves and one marine park in Southeast Asia. To easily identify patterns of convergence or divergence among the datasets, we propose heat maps using colour codes and icons for language- and education-independent understandability. Finally, we discuss the limitations as well as potential implications for resource management and the accompanying communication strategies.
format Article
author Richter, I.
Roberts, B. R.
Sailley, S. F.
Sullivan, E.
Cheung, V. V.
Eales, J.
Fortnam, M.
Jontila, J. B.
Maharja, C.
Nguyen, T. Ha.
Pahl, S.
Praptiwi, R. A.
Sugardjito, J.
Sumeldan, J. D. C.
Syazwan, W. M.
Then, A. Y.
Austen, M. C.
spellingShingle Richter, I.
Roberts, B. R.
Sailley, S. F.
Sullivan, E.
Cheung, V. V.
Eales, J.
Fortnam, M.
Jontila, J. B.
Maharja, C.
Nguyen, T. Ha.
Pahl, S.
Praptiwi, R. A.
Sugardjito, J.
Sumeldan, J. D. C.
Syazwan, W. M.
Then, A. Y.
Austen, M. C.
Building bridges between natural and social science disciplines: a standardized methodology to combine data on ecosystem quality trends
author_facet Richter, I.
Roberts, B. R.
Sailley, S. F.
Sullivan, E.
Cheung, V. V.
Eales, J.
Fortnam, M.
Jontila, J. B.
Maharja, C.
Nguyen, T. Ha.
Pahl, S.
Praptiwi, R. A.
Sugardjito, J.
Sumeldan, J. D. C.
Syazwan, W. M.
Then, A. Y.
Austen, M. C.
author_sort Richter, I.
title Building bridges between natural and social science disciplines: a standardized methodology to combine data on ecosystem quality trends
title_short Building bridges between natural and social science disciplines: a standardized methodology to combine data on ecosystem quality trends
title_full Building bridges between natural and social science disciplines: a standardized methodology to combine data on ecosystem quality trends
title_fullStr Building bridges between natural and social science disciplines: a standardized methodology to combine data on ecosystem quality trends
title_full_unstemmed Building bridges between natural and social science disciplines: a standardized methodology to combine data on ecosystem quality trends
title_sort building bridges between natural and social science disciplines: a standardized methodology to combine data on ecosystem quality trends
publisher The Royal Society Publishing
publishDate 2022
url http://psasir.upm.edu.my/id/eprint/100571/
https://royalsocietypublishing.org/doi/10.1098/rstb.2021.0487
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score 13.211869

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