What drives biodiversity patterns? Using long-term multi-disciplinary data to discern centennial-scale change

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What drives biodiversity patterns? Using long-term multi-disciplinary data to discern centennial-scale change. / Woodbridge, Jessie; Fyfe, Ralph; Smith, David; Pelling, Ruth ; de Vareilles, Anne ; Batchelor, Robert ; Bevan, Andrew ; Davies, Althea.

In: Journal of Ecology, Vol. 109, No. 3, 03.2021, p. 1396-1410.

Research output: Contribution to journalArticlepeer-review

Harvard

Woodbridge, J, Fyfe, R, Smith, D, Pelling, R, de Vareilles, A, Batchelor, R, Bevan, A & Davies, A 2021, 'What drives biodiversity patterns? Using long-term multi-disciplinary data to discern centennial-scale change', Journal of Ecology, vol. 109, no. 3, pp. 1396-1410. https://doi.org/DOI: 10.1111/1365-2745.13565

APA

Woodbridge, J., Fyfe, R., Smith, D., Pelling, R., de Vareilles, A., Batchelor, R., Bevan, A., & Davies, A. (2021). What drives biodiversity patterns? Using long-term multi-disciplinary data to discern centennial-scale change. Journal of Ecology, 109(3), 1396-1410. https://doi.org/DOI: 10.1111/1365-2745.13565

Vancouver

Author

Woodbridge, Jessie ; Fyfe, Ralph ; Smith, David ; Pelling, Ruth ; de Vareilles, Anne ; Batchelor, Robert ; Bevan, Andrew ; Davies, Althea. / What drives biodiversity patterns? Using long-term multi-disciplinary data to discern centennial-scale change. In: Journal of Ecology. 2021 ; Vol. 109, No. 3. pp. 1396-1410.

Bibtex

@article{52173e90f72048cd8c84973b7ba28795,
title = "What drives biodiversity patterns? Using long-term multi-disciplinary data to discern centennial-scale change",
abstract = "1. Biodiversity plays an important role in ecosystem functioning, habitat recovery following disturbance and resilience to global environmental change. Long-term ecological records can be used to explore biodiversity patterns and trends over centennial to multi-millennial time-scales across broad regions. Fossil pollen grains preserved in sediment over millennia reflect palynological richness and diversity, which relates to changes in landscape diversity. Other long-term environmental data, such as fossil insects, palaeoclimate and archaeologically inferred palaeodemographic (population) data, hold potential to address questions about the drivers and consequences of diversity change when combined with fossil pollen records.2. This study tests a model of Holocene palynological diversity change through a synthesis of pollen and insect records from across the British Isles along with palaeodemographic trends and palaeoclimate records. We demonstrate relationships between human population change, insect faunal group turnover, palynological diversity and climate trends through the Holocene.3. Notable increases in population at the start of the British Neolithic (~6,000 calendar years before present [bp]) and Bronze Age (~4,200 bp) coincided with the loss of forests, increased agricultural activity and changes in insect faunal groups to species associated with human land use. Pollen diversity and evenness increased, most notably since the Bronze Age, as landscapes became more open and heterogeneous. However, regionally distinctive patterns are also evident within the context of these broad-scale trends. Palynological diversity is correlated with population while diversity and population are correlated with some climate datasets during certain time periods (e.g. Greenland temperature in the mid-late Holocene).4. Synthesis. This study has demonstrated that early human societies contributed to shaping palynological diversity patterns over millennia within the context of broader climatic influences upon vegetation. The connections between population and palynological diversity become increasingly significant in the later Holocene, implying intensifying impacts of human activity, which may override climatic effects. Patterns of palynological diversity trends are regionally variable and do not always follow expected trajectories. To fully understand the long-term drivers of biodiversity change on regionally relevant ecological and management scales, future research needs to focus on amalgamating diverse data types, along with multi-community efforts to harmonise data across broad regions.",
keywords = "biodiversity, biogeography and macroecology, global change ecology, insects, land-cover change, land-use change, landscape ecology, palaeoecology and land-use history",
author = "Jessie Woodbridge and Ralph Fyfe and David Smith and Ruth Pelling and {de Vareilles}, Anne and Robert Batchelor and Andrew Bevan and Althea Davies",
note = "Funding Information: This research has been carried out as part of the ?Biodiversity and land-use change in the British Isles? project funded by the Leverhulme Trust (grant reference: RPG-2018-357). Pollen data were extracted from the European Pollen Database (http://www.europeanpollendatabase.net/). The work of the data contributors and the EPD community is gratefully acknowledged and appreciation is given to Michelle Leydet (the EPD manager), as well as many data contributors who have made valuable contributions to this research. We would like to mention some major existing sources for radiocarbon dates from Wales (Burrow and Williams, 2008; Manning et al., 2016), England (Bayliss et al., 2007, 2008, 2012, 2013, 2015, 2016; CBA, 2012; Jordan et al., 1994; Manning et al., 2016; ORAU, 2016; Whittle et al., 2011) and Scotland (Canmore Scottish Radiocarbon Database, 2016; Discovery and Excavation Scotland; Manning et al., 2016; Oxford Laboratory/NERC database). Further dates came from online crowd-sourcing of the UK Archaeology Data Service's grey literature library (aka OASIS) and the authors extend their thanks to the many volunteers who contributed online to MicroPasts. They also thank Florin Fletcher, who amalgamated many of the datasets for the Quest project (led by Rob Batchelor) and to managers of and contributors to BugsCEP (Buckland & Buckland, 2006). Funding Information: This research has been carried out as part of the {\textquoteleft}{\textquoteright} project funded by the Leverhulme Trust (grant reference: RPG‐2018‐357). Pollen data were extracted from the European Pollen Database ( http://www.europeanpollendatabase.net/ ). The work of the data contributors and the EPD community is gratefully acknowledged and appreciation is given to Michelle Leydet (the EPD manager), as well as many data contributors who have made valuable contributions to this research. We would like to mention some major existing sources for radiocarbon dates from Wales (Burrow and Williams, 2008 ; Manning et al., 2016 ), England (Bayliss et al., 2007 , 2008 , 2012 , 2013 , 2015 , 2016 ; CBA, 2012 ; Jordan et al., 1994 ; Manning et al., 2016 ; ORAU, 2016 ; Whittle et al., 2011 ) and Scotland (Canmore Scottish Radiocarbon Database, 2016 ; Discovery and Excavation Scotland ; Manning et al., 2016 ; Oxford Laboratory/NERC database ). Further dates came from online crowd‐sourcing of the UK Archaeology Data Service's grey literature library (aka OASIS) and the authors extend their thanks to the many volunteers who contributed online to MicroPasts. They also thank Florin Fletcher, who amalgamated many of the datasets for the Quest project (led by Rob Batchelor) and to managers of and contributors to BugsCEP (Buckland & Buckland, 2006 ). Biodiversity and land‐use change in the British Isles Publisher Copyright: {\textcopyright} 2020 British Ecological Society",
year = "2021",
month = mar,
doi = "DOI: 10.1111/1365-2745.13565",
language = "English",
volume = "109",
pages = "1396--1410",
journal = "Journal of Ecology",
issn = "0022-0477",
publisher = "Wiley-Blackwell",
number = "3",

}

RIS

TY - JOUR

T1 - What drives biodiversity patterns? Using long-term multi-disciplinary data to discern centennial-scale change

AU - Woodbridge, Jessie

AU - Fyfe, Ralph

AU - Smith, David

AU - Pelling, Ruth

AU - de Vareilles, Anne

AU - Batchelor, Robert

AU - Bevan, Andrew

AU - Davies, Althea

N1 - Funding Information: This research has been carried out as part of the ?Biodiversity and land-use change in the British Isles? project funded by the Leverhulme Trust (grant reference: RPG-2018-357). Pollen data were extracted from the European Pollen Database (http://www.europeanpollendatabase.net/). The work of the data contributors and the EPD community is gratefully acknowledged and appreciation is given to Michelle Leydet (the EPD manager), as well as many data contributors who have made valuable contributions to this research. We would like to mention some major existing sources for radiocarbon dates from Wales (Burrow and Williams, 2008; Manning et al., 2016), England (Bayliss et al., 2007, 2008, 2012, 2013, 2015, 2016; CBA, 2012; Jordan et al., 1994; Manning et al., 2016; ORAU, 2016; Whittle et al., 2011) and Scotland (Canmore Scottish Radiocarbon Database, 2016; Discovery and Excavation Scotland; Manning et al., 2016; Oxford Laboratory/NERC database). Further dates came from online crowd-sourcing of the UK Archaeology Data Service's grey literature library (aka OASIS) and the authors extend their thanks to the many volunteers who contributed online to MicroPasts. They also thank Florin Fletcher, who amalgamated many of the datasets for the Quest project (led by Rob Batchelor) and to managers of and contributors to BugsCEP (Buckland & Buckland, 2006). Funding Information: This research has been carried out as part of the ‘’ project funded by the Leverhulme Trust (grant reference: RPG‐2018‐357). Pollen data were extracted from the European Pollen Database ( http://www.europeanpollendatabase.net/ ). The work of the data contributors and the EPD community is gratefully acknowledged and appreciation is given to Michelle Leydet (the EPD manager), as well as many data contributors who have made valuable contributions to this research. We would like to mention some major existing sources for radiocarbon dates from Wales (Burrow and Williams, 2008 ; Manning et al., 2016 ), England (Bayliss et al., 2007 , 2008 , 2012 , 2013 , 2015 , 2016 ; CBA, 2012 ; Jordan et al., 1994 ; Manning et al., 2016 ; ORAU, 2016 ; Whittle et al., 2011 ) and Scotland (Canmore Scottish Radiocarbon Database, 2016 ; Discovery and Excavation Scotland ; Manning et al., 2016 ; Oxford Laboratory/NERC database ). Further dates came from online crowd‐sourcing of the UK Archaeology Data Service's grey literature library (aka OASIS) and the authors extend their thanks to the many volunteers who contributed online to MicroPasts. They also thank Florin Fletcher, who amalgamated many of the datasets for the Quest project (led by Rob Batchelor) and to managers of and contributors to BugsCEP (Buckland & Buckland, 2006 ). Biodiversity and land‐use change in the British Isles Publisher Copyright: © 2020 British Ecological Society

PY - 2021/3

Y1 - 2021/3

N2 - 1. Biodiversity plays an important role in ecosystem functioning, habitat recovery following disturbance and resilience to global environmental change. Long-term ecological records can be used to explore biodiversity patterns and trends over centennial to multi-millennial time-scales across broad regions. Fossil pollen grains preserved in sediment over millennia reflect palynological richness and diversity, which relates to changes in landscape diversity. Other long-term environmental data, such as fossil insects, palaeoclimate and archaeologically inferred palaeodemographic (population) data, hold potential to address questions about the drivers and consequences of diversity change when combined with fossil pollen records.2. This study tests a model of Holocene palynological diversity change through a synthesis of pollen and insect records from across the British Isles along with palaeodemographic trends and palaeoclimate records. We demonstrate relationships between human population change, insect faunal group turnover, palynological diversity and climate trends through the Holocene.3. Notable increases in population at the start of the British Neolithic (~6,000 calendar years before present [bp]) and Bronze Age (~4,200 bp) coincided with the loss of forests, increased agricultural activity and changes in insect faunal groups to species associated with human land use. Pollen diversity and evenness increased, most notably since the Bronze Age, as landscapes became more open and heterogeneous. However, regionally distinctive patterns are also evident within the context of these broad-scale trends. Palynological diversity is correlated with population while diversity and population are correlated with some climate datasets during certain time periods (e.g. Greenland temperature in the mid-late Holocene).4. Synthesis. This study has demonstrated that early human societies contributed to shaping palynological diversity patterns over millennia within the context of broader climatic influences upon vegetation. The connections between population and palynological diversity become increasingly significant in the later Holocene, implying intensifying impacts of human activity, which may override climatic effects. Patterns of palynological diversity trends are regionally variable and do not always follow expected trajectories. To fully understand the long-term drivers of biodiversity change on regionally relevant ecological and management scales, future research needs to focus on amalgamating diverse data types, along with multi-community efforts to harmonise data across broad regions.

AB - 1. Biodiversity plays an important role in ecosystem functioning, habitat recovery following disturbance and resilience to global environmental change. Long-term ecological records can be used to explore biodiversity patterns and trends over centennial to multi-millennial time-scales across broad regions. Fossil pollen grains preserved in sediment over millennia reflect palynological richness and diversity, which relates to changes in landscape diversity. Other long-term environmental data, such as fossil insects, palaeoclimate and archaeologically inferred palaeodemographic (population) data, hold potential to address questions about the drivers and consequences of diversity change when combined with fossil pollen records.2. This study tests a model of Holocene palynological diversity change through a synthesis of pollen and insect records from across the British Isles along with palaeodemographic trends and palaeoclimate records. We demonstrate relationships between human population change, insect faunal group turnover, palynological diversity and climate trends through the Holocene.3. Notable increases in population at the start of the British Neolithic (~6,000 calendar years before present [bp]) and Bronze Age (~4,200 bp) coincided with the loss of forests, increased agricultural activity and changes in insect faunal groups to species associated with human land use. Pollen diversity and evenness increased, most notably since the Bronze Age, as landscapes became more open and heterogeneous. However, regionally distinctive patterns are also evident within the context of these broad-scale trends. Palynological diversity is correlated with population while diversity and population are correlated with some climate datasets during certain time periods (e.g. Greenland temperature in the mid-late Holocene).4. Synthesis. This study has demonstrated that early human societies contributed to shaping palynological diversity patterns over millennia within the context of broader climatic influences upon vegetation. The connections between population and palynological diversity become increasingly significant in the later Holocene, implying intensifying impacts of human activity, which may override climatic effects. Patterns of palynological diversity trends are regionally variable and do not always follow expected trajectories. To fully understand the long-term drivers of biodiversity change on regionally relevant ecological and management scales, future research needs to focus on amalgamating diverse data types, along with multi-community efforts to harmonise data across broad regions.

KW - biodiversity

KW - biogeography and macroecology

KW - global change ecology

KW - insects

KW - land-cover change

KW - land-use change

KW - landscape ecology

KW - palaeoecology and land-use history

UR - http://www.scopus.com/inward/record.url?scp=85097785392&partnerID=8YFLogxK

U2 - DOI: 10.1111/1365-2745.13565

DO - DOI: 10.1111/1365-2745.13565

M3 - Article

VL - 109

SP - 1396

EP - 1410

JO - Journal of Ecology

JF - Journal of Ecology

SN - 0022-0477

IS - 3

ER -