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Challenges With Inferring How Land-Use Affects Terrestrial Biodiversity: Study Design, Time, Space and Synthesis

Adriana De Palma, Katia Sanchez-Ortiz, Philip A. Martin, Amy Chadwick,, Guillermo Gilbert, Amanda E. Bates, Luca Borger Orcid Logo, Sara Contu, Samantha L.L. Hill, Andy Purvis

Next Generation Biomonitoring: Part 1, Volume: 58, Pages: 163 - 199

Swansea University Author: Luca Borger Orcid Logo

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DOI (Published version): 10.1016/bs.aecr.2017.12.004

Abstract

Land use has already reshaped local biodiversity on Earth, with effects expected to increase as human populations continue to grow in both numbers and prosperity. An accurate depiction of the state of biodiversity on our planet, combined with identifying the mechanisms driving local biodiversity cha...

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Published in: Next Generation Biomonitoring: Part 1
ISBN: 978-0-12-813949-3
ISSN: 0065-2504
Published: Academic Press 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa39320
first_indexed 2018-04-06T04:41:05Z
last_indexed 2018-05-22T13:12:36Z
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recordtype SURis
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spelling 2018-05-22T11:39:47.2205340 v2 39320 2018-04-05 Challenges With Inferring How Land-Use Affects Terrestrial Biodiversity: Study Design, Time, Space and Synthesis 8416d0ffc3cccdad6e6d67a455e7c4a2 0000-0001-8763-5997 Luca Borger Luca Borger true false 2018-04-05 BGPS Land use has already reshaped local biodiversity on Earth, with effects expected to increase as human populations continue to grow in both numbers and prosperity. An accurate depiction of the state of biodiversity on our planet, combined with identifying the mechanisms driving local biodiversity change, underpins our ability to predict how different societal priorities and actions will influence biodiversity trajectories. Quantitative syntheses provide a fundamental tool by taking information from multiple sources to identify generalisable patterns. However, syntheses, by definition, combine data sources that have fundamentally different purposes, contexts, designs and sources of error and bias; they may thus provide contradictory results, not because of the biological phenomena of interest, but due instead to combining diverse data. While much attention has been focussed on the use of space-for-time substitution methods to estimate the impact of land-use change on terrestrial biodiversity, we show that the most common study designs all face challenges—either conceptual or logistical—that may lead to faulty inferences and ultimately mislead quantitative syntheses. We outline these study designs along with their advantages and difficulties, and how quantitative syntheses can combine the strengths of each class of design. Book chapter Next Generation Biomonitoring: Part 1 58 163 199 Academic Press 978-0-12-813949-3 0065-2504 Experimental design, Ecological synthesis, Global change, Human impacts, Alpha diversity, Space-for-time substitution, Time-for-time substitution, Space-for-space substitution, 31 12 2018 2018-12-31 10.1016/bs.aecr.2017.12.004 http://www.sciencedirect.com/science/article/pii/S0065250417300296 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University 2018-05-22T11:39:47.2205340 2018-04-05T23:55:10.6196179 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Adriana De Palma 1 Katia Sanchez-Ortiz 2 Philip A. Martin 3 Amy Chadwick, 4 Guillermo Gilbert 5 Amanda E. Bates 6 Luca Borger 0000-0001-8763-5997 7 Sara Contu 8 Samantha L.L. Hill 9 Andy Purvis 10
title Challenges With Inferring How Land-Use Affects Terrestrial Biodiversity: Study Design, Time, Space and Synthesis
spellingShingle Challenges With Inferring How Land-Use Affects Terrestrial Biodiversity: Study Design, Time, Space and Synthesis
Luca Borger
title_short Challenges With Inferring How Land-Use Affects Terrestrial Biodiversity: Study Design, Time, Space and Synthesis
title_full Challenges With Inferring How Land-Use Affects Terrestrial Biodiversity: Study Design, Time, Space and Synthesis
title_fullStr Challenges With Inferring How Land-Use Affects Terrestrial Biodiversity: Study Design, Time, Space and Synthesis
title_full_unstemmed Challenges With Inferring How Land-Use Affects Terrestrial Biodiversity: Study Design, Time, Space and Synthesis
title_sort Challenges With Inferring How Land-Use Affects Terrestrial Biodiversity: Study Design, Time, Space and Synthesis
author_id_str_mv 8416d0ffc3cccdad6e6d67a455e7c4a2
author_id_fullname_str_mv 8416d0ffc3cccdad6e6d67a455e7c4a2_***_Luca Borger
author Luca Borger
author2 Adriana De Palma
Katia Sanchez-Ortiz
Philip A. Martin
Amy Chadwick,
Guillermo Gilbert
Amanda E. Bates
Luca Borger
Sara Contu
Samantha L.L. Hill
Andy Purvis
format Book chapter
container_title Next Generation Biomonitoring: Part 1
container_volume 58
container_start_page 163
publishDate 2018
institution Swansea University
isbn 978-0-12-813949-3
issn 0065-2504
doi_str_mv 10.1016/bs.aecr.2017.12.004
publisher Academic Press
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
url http://www.sciencedirect.com/science/article/pii/S0065250417300296
document_store_str 0
active_str 0
description Land use has already reshaped local biodiversity on Earth, with effects expected to increase as human populations continue to grow in both numbers and prosperity. An accurate depiction of the state of biodiversity on our planet, combined with identifying the mechanisms driving local biodiversity change, underpins our ability to predict how different societal priorities and actions will influence biodiversity trajectories. Quantitative syntheses provide a fundamental tool by taking information from multiple sources to identify generalisable patterns. However, syntheses, by definition, combine data sources that have fundamentally different purposes, contexts, designs and sources of error and bias; they may thus provide contradictory results, not because of the biological phenomena of interest, but due instead to combining diverse data. While much attention has been focussed on the use of space-for-time substitution methods to estimate the impact of land-use change on terrestrial biodiversity, we show that the most common study designs all face challenges—either conceptual or logistical—that may lead to faulty inferences and ultimately mislead quantitative syntheses. We outline these study designs along with their advantages and difficulties, and how quantitative syntheses can combine the strengths of each class of design.
published_date 2018-12-31T04:26:41Z
_version_ 1821378191837626368
score 11.3749895

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