Biodiversity decline with increasing crop productivity in agricultural fields revealed by satellite remote sensing

Increasing land-use intensity is a main driver of biodiversity loss in farmland, but measuring proxies for land-use intensity across entire landscapes is challenging. Here, we develop a novel method for the assessment of the impact of land-use intensity on biodiversity in agricultural landscapes usi...

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Autores principales:	Abdulhakim M. Abdi, Romain Carrié, William Sidemo-Holm, Zhanzhang Cai, Niklas Boke-Olén, Henrik G. Smith, Lars Eklundh, Johan Ekroos
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Sentinel-2 Land-use intensity Agriculture Pollinators Phenology Crop biomass Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/33b026cbb8a54680b57918dc93155e9b
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id	oai:doaj.org-article:33b026cbb8a54680b57918dc93155e9b
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spelling	oai:doaj.org-article:33b026cbb8a54680b57918dc93155e9b2021-12-01T04:59:08ZBiodiversity decline with increasing crop productivity in agricultural fields revealed by satellite remote sensing1470-160X10.1016/j.ecolind.2021.108098https://doaj.org/article/33b026cbb8a54680b57918dc93155e9b2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21007639https://doaj.org/toc/1470-160XIncreasing land-use intensity is a main driver of biodiversity loss in farmland, but measuring proxies for land-use intensity across entire landscapes is challenging. Here, we develop a novel method for the assessment of the impact of land-use intensity on biodiversity in agricultural landscapes using remote sensing parameters derived from the Sentinel-2 satellites. We link crop phenology and productivity parameters derived from time-series of a two-band enhanced vegetation index with biodiversity indicators (insect pollinators and insect-pollinated vascular plants) in agricultural fields in southern Sweden, with contrasting land management (i.e. conventional and organic farming). Our results show that arable land-use intensity in cereal systems dominated by spring-sown cereals can be approximated using Sentinel-2 productivity parameters. This was shown by the significant positive correlations between the amplitude and maximum value of the enhanced vegetation index on one side and farmer reported yields on the other. We also found that conventional cereal fields had 17% higher maximum and 13% higher amplitude of their enhanced vegetation index than organic fields. Sentinel-2 derived parameters were more strongly correlated with the abundance and species richness of bumblebees and the richness of vascular plants than the abundance and species richness of butterflies. The relationships we found between biodiversity and crop production proxies are consistent with predictions that increasing agricultural land-use intensity decreases field biodiversity. The newly developed method based on crop phenology and productivity parameters derived from Sentinel-2 data serves as a proof of concept for the assessment of the impact of land-use intensity on biodiversity over cereal fields across larger areas. It enables the estimation of arable productivity in cereal systems, which can then be used by ecologists and develop tools for land managers as a proxy for land-use intensity. Coupled with spatially explicit databases on agricultural land-use, this method will enable crop-specific cereal productivity estimation across large geographical regions.Abdulhakim M. AbdiRomain CarriéWilliam Sidemo-HolmZhanzhang CaiNiklas Boke-OlénHenrik G. SmithLars EklundhJohan EkroosElsevierarticleSentinel-2Land-use intensityAgriculturePollinatorsPhenologyCrop biomassEcologyQH540-549.5ENEcological Indicators, Vol 130, Iss , Pp 108098- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Sentinel-2 Land-use intensity Agriculture Pollinators Phenology Crop biomass Ecology QH540-549.5
spellingShingle	Sentinel-2 Land-use intensity Agriculture Pollinators Phenology Crop biomass Ecology QH540-549.5 Abdulhakim M. Abdi Romain Carrié William Sidemo-Holm Zhanzhang Cai Niklas Boke-Olén Henrik G. Smith Lars Eklundh Johan Ekroos Biodiversity decline with increasing crop productivity in agricultural fields revealed by satellite remote sensing
description	Increasing land-use intensity is a main driver of biodiversity loss in farmland, but measuring proxies for land-use intensity across entire landscapes is challenging. Here, we develop a novel method for the assessment of the impact of land-use intensity on biodiversity in agricultural landscapes using remote sensing parameters derived from the Sentinel-2 satellites. We link crop phenology and productivity parameters derived from time-series of a two-band enhanced vegetation index with biodiversity indicators (insect pollinators and insect-pollinated vascular plants) in agricultural fields in southern Sweden, with contrasting land management (i.e. conventional and organic farming). Our results show that arable land-use intensity in cereal systems dominated by spring-sown cereals can be approximated using Sentinel-2 productivity parameters. This was shown by the significant positive correlations between the amplitude and maximum value of the enhanced vegetation index on one side and farmer reported yields on the other. We also found that conventional cereal fields had 17% higher maximum and 13% higher amplitude of their enhanced vegetation index than organic fields. Sentinel-2 derived parameters were more strongly correlated with the abundance and species richness of bumblebees and the richness of vascular plants than the abundance and species richness of butterflies. The relationships we found between biodiversity and crop production proxies are consistent with predictions that increasing agricultural land-use intensity decreases field biodiversity. The newly developed method based on crop phenology and productivity parameters derived from Sentinel-2 data serves as a proof of concept for the assessment of the impact of land-use intensity on biodiversity over cereal fields across larger areas. It enables the estimation of arable productivity in cereal systems, which can then be used by ecologists and develop tools for land managers as a proxy for land-use intensity. Coupled with spatially explicit databases on agricultural land-use, this method will enable crop-specific cereal productivity estimation across large geographical regions.
format	article
author	Abdulhakim M. Abdi Romain Carrié William Sidemo-Holm Zhanzhang Cai Niklas Boke-Olén Henrik G. Smith Lars Eklundh Johan Ekroos
author_facet	Abdulhakim M. Abdi Romain Carrié William Sidemo-Holm Zhanzhang Cai Niklas Boke-Olén Henrik G. Smith Lars Eklundh Johan Ekroos
author_sort	Abdulhakim M. Abdi
title	Biodiversity decline with increasing crop productivity in agricultural fields revealed by satellite remote sensing
title_short	Biodiversity decline with increasing crop productivity in agricultural fields revealed by satellite remote sensing
title_full	Biodiversity decline with increasing crop productivity in agricultural fields revealed by satellite remote sensing
title_fullStr	Biodiversity decline with increasing crop productivity in agricultural fields revealed by satellite remote sensing
title_full_unstemmed	Biodiversity decline with increasing crop productivity in agricultural fields revealed by satellite remote sensing
title_sort	biodiversity decline with increasing crop productivity in agricultural fields revealed by satellite remote sensing
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/33b026cbb8a54680b57918dc93155e9b
work_keys_str_mv	AT abdulhakimmabdi biodiversitydeclinewithincreasingcropproductivityinagriculturalfieldsrevealedbysatelliteremotesensing AT romaincarrie biodiversitydeclinewithincreasingcropproductivityinagriculturalfieldsrevealedbysatelliteremotesensing AT williamsidemoholm biodiversitydeclinewithincreasingcropproductivityinagriculturalfieldsrevealedbysatelliteremotesensing AT zhanzhangcai biodiversitydeclinewithincreasingcropproductivityinagriculturalfieldsrevealedbysatelliteremotesensing AT niklasbokeolen biodiversitydeclinewithincreasingcropproductivityinagriculturalfieldsrevealedbysatelliteremotesensing AT henrikgsmith biodiversitydeclinewithincreasingcropproductivityinagriculturalfieldsrevealedbysatelliteremotesensing AT larseklundh biodiversitydeclinewithincreasingcropproductivityinagriculturalfieldsrevealedbysatelliteremotesensing AT johanekroos biodiversitydeclinewithincreasingcropproductivityinagriculturalfieldsrevealedbysatelliteremotesensing
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Biodiversity decline with increasing crop productivity in agricultural fields revealed by satellite remote sensing

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