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Reconstructing cave past to manage and conserve cave present and future

Abstract:
Whilst restoration and recovery of ecosystems has become a major priority, developing a baseline of what biodiversity was like prior to disturbance, and what might have driven changes in wildlife populations often remains unknown in many systems. Challenging to access ecosystems, such as subterranean ecosystems which cannot be monitored by remote sensing and frequently have very little information provide a significant challenge to understanding how biodiversity patterns may have changed, and how they might be more effectively managed. Caves represent unique ecosystems, key sites for our own human history, but with their unique conditions and stability can provide insights into their own past use as well as an index of local climate and vegetation. In addition, caves host many of the worlds over 1400 bat species, meaning that the ability to reconstruct past population trajectories may facilitate their conservation, as well as that of the many other, often undescribed cave dependant species. Here we discuss the various types of data from biological, chemical, geological and social that can be used to reconstruct the past history of cave sites across various timescales. We discuss the considerations needed for each approach as well as providing examples to guide the application of such approaches to better understand cave systems and their varying uses over time, and highlight how such data may facilitate cave management.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.ecolind.2023.111051

Authors


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Institution:
University of Oxford
Division:
SSD
Department:
SAME
Oxford college:
St Cross College
Role:
Author


Publisher:
Elsevier
Journal:
Ecological Indicators More from this journal
Volume:
155
Article number:
111051
Publication date:
2023-10-06
Acceptance date:
2023-10-03
DOI:
EISSN:
1872-7034
ISSN:
1470-160X


Language:
English
Keywords:
Pubs id:
1566738
Local pid:
pubs:1566738
Deposit date:
2023-12-11

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