Data & code for: Landscape composition can influence reproductive success in grassland plants depending on their pollinator dependence

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Hauptverfasser:	Krausl, Theresia, Hederström, Veronica, Quan, Yuanyuan, Clough, Yann
Format:	Recurso digital
Sprache:	Englisch
Veröffentlicht:	Zenodo 2025
Schlagworte:	Biodiversity conservation Landscape ecology Agriculture Ecology Entomology Botany Reproductive biology
Online-Zugang:	Acceder al recurso
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author	Krausl, Theresia Hederström, Veronica Quan, Yuanyuan Clough, Yann
author_facet	Krausl, Theresia Hederström, Veronica Quan, Yuanyuan Clough, Yann
contents	<p>This repository contains data and an R script for the <strong>DrivenByPollinators</strong> project, using data collected in 18 semi-natural grasslands along a landscape-scale land-use intensity gradient in <strong>2020 and 2021</strong>. The data and code are related to the article:</p> <p><strong>"Landscape composition can influence reproductive success of plants in semi-natural grasslands depending on their pollinator dependence"<br></strong><a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.biocon.2025.111220" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.biocon.2025.111220</span></span></a></p> <p>This repository contains:</p> <ul> <li>AchLotPla_Seeds_Data_Spring25.RData - dataset needed for the main analyses for the paper</li> <li>AchLotPla_Seeds_Metadata.xlsx - metadata for dataset</li> <li>AchLotPla_Seeds_Analysis_Spring25_clean.R - code for main analyses for the paper</li> </ul>
format	Recurso digital
id	zenodo_https___doi_org_10_5281_zenodo_13593206
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publishDate	2025
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spellingShingle	Data & code for: Landscape composition can influence reproductive success in grassland plants depending on their pollinator dependence Krausl, Theresia Hederström, Veronica Quan, Yuanyuan Clough, Yann Biodiversity conservation Landscape ecology Agriculture Ecology Entomology Botany Reproductive biology <p>This repository contains data and an R script for the <strong>DrivenByPollinators</strong> project, using data collected in 18 semi-natural grasslands along a landscape-scale land-use intensity gradient in <strong>2020 and 2021</strong>. The data and code are related to the article:</p> <p><strong>"Landscape composition can influence reproductive success of plants in semi-natural grasslands depending on their pollinator dependence"<br></strong><a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.biocon.2025.111220" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.biocon.2025.111220</span></span></a></p> <p>This repository contains:</p> <ul> <li>AchLotPla_Seeds_Data_Spring25.RData - dataset needed for the main analyses for the paper</li> <li>AchLotPla_Seeds_Metadata.xlsx - metadata for dataset</li> <li>AchLotPla_Seeds_Analysis_Spring25_clean.R - code for main analyses for the paper</li> </ul>
title	Data & code for: Landscape composition can influence reproductive success in grassland plants depending on their pollinator dependence
topic	Biodiversity conservation Landscape ecology Agriculture Ecology Entomology Botany Reproductive biology
url	https://doi.org/10.5281/zenodo.13593206

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