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    <item>
      <title>Data from: Local distribution patterns of fleshy-fruited woody plants – examining the orchard hypothesis</title>
      <description>This is the data from the article 

Local distribution patterns of
fleshy-fruited woody plants – examining the orchard hypothesis (DOI: 10.1111/ecog.05359)

Matilda Arnell, Johan Ehrlén and Ove Eriksson

 

The study was carried out in the Tullgarn nature reserve
(17°33'45E  58°57'56 N) in the province of Södermanland in Sweden. In the
study area we established 15 sites. 

The sites were chosen to cover a range of potential habitats for
fleshy-fruited woody species, and included those that were a priori expected as
favourable habitats, e.g. forest edges, and less favourable habitats, e.g.
within forests dominated by coniferous species (Picea abies and Pinus
sylvestris). At the 15 sites we established three plots per site (45 plots)
and at each plot we established subplots for the seedling recruitment
experiment.

 

Study design

In 50 m radius circles at one of the three plots at each site we mapped
all individuals of the local guild of fleshy-fruited woody trees and shrubs and
recorded their height (or diameter at breast height) and reproductive status.
This data is found in “spatial data_Arnell et al 2020.csv”. Please consult the
readme-file for further details.

 

In 50 m radius circles surrounding all three plots at each site we
recorded presence/absence of reproductive individuals (displaying flowers or
fruits) for the species included in the seedling recruitment experiment. This
data is found in “plot scale data_Arnell et al 2020.csv”. Please consult the
readme-file for further details.

 

Seedling recruitment experiment 

At each plot, in subplots of 50 × 50 cm, we sowed 50 seeds of each of
ten species of the local guild (figure 2A). The species were: Crataegus laevigata, Frangula alnus, Juniperus communis, Lonicera
xylosteum, Prunus avium, Prunus padus, Prunus spinosa, Ribes
alpinum, Rubus idaeus and Sorbus
aucuparia. The seeds were gathered from fruits collected in the peak of the
fruiting season of each species (mainly July-August, but October for J. communis, S. aucuparia and P. spinosa).
We removed the pulp and allowed the seeds to dry in room temperature. 

 

The experiment was initiated in the autumn of 2015. In 2016 and 2017, we
recorded seedlings on three occasions each year, between early June and early
September. In 2018, we recorded seedlings and small juveniles once in June. At
each occasion, the location of all seedlings was noted and used to identify
individual recruits, and allowing us to identify new seedlings. All recruits
were followed throughout the survey period. At all occasions, we also searched
for seedlings of the study species in control plots (where no seeds were added)
located adjacent to the sowing plots. 

The data from the seedling recruitment experiment
is found in “plot scale data_Arnell et al 2020.csv”. Please consult the
readme-file for further details.

Spatially explicit patterns of associations

Using the mapped positions of all individuals from the 50 m radius
circles (spatial data_Arnell et al 2020.csv), we investigated distribution
patterns by performing four different point pattern analyses. The analyses were
performed in the software PROGRAMITA (Wiegand and Moloney 2014). 

Data
reconfigured to be compatible with PROGRAMITA can be found in “data_PROGRAMITA.zip”.

 

Please contact Matilda Arnell (matilda.arnell@su.se) for information or
collaboration. 

 

Please cite also the original article when using these data (DOI: 10.1111/ecog.05359).</description>
      <pubDate>Tue, 25 Feb 2020 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/doi-10-17045-sthlmuni-11897850</link>
      <guid>https://researchdata.se/en/catalogue/dataset/doi-10-17045-sthlmuni-11897850</guid>
      <dc:publisher>Stockholm University</dc:publisher>
      <dc:creator>Matilda Arnell</dc:creator>
      <dc:creator>Johan Ehrlén</dc:creator>
      <dc:creator>Ove Eriksson</dc:creator>
    </item>
    <item>
      <title>Data for: Herbivore-shrub interactions influence ecosystem respiration and BVOC composition in the subarctic</title>
      <description>Data deposited in association with above named article to be published in the journal: Biogeosciences. Biogenic Volatile Organic Compound (BVOC) data covers full processing from retention times, comparison to standards and quantification of relevant compounds. Ecosystem respiration data has already been converted to flux (linear increase in concentration of carbon dioxide (CO2) over time over sampling period). Plant Root Simulator (PRS) probe, moisture, and temperature data listed for each site and treatment. Vegetation community described for each community based on percent cover of each species.</description>
      <pubDate>Mon, 02 Oct 2023 06:24:27 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2023-177</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2023-177</guid>
      <dc:publisher>University of Gothenburg</dc:publisher>
      <dc:creator>Cole Brachmann</dc:creator>
      <dc:creator>Tage Vowles</dc:creator>
      <dc:creator>Riikka Rinnan</dc:creator>
      <dc:creator>Mats Björkman</dc:creator>
      <dc:creator>Anna Ekberg</dc:creator>
      <dc:creator>Robert Björk</dc:creator>
    </item>
    <item>
      <title>Communities in infrastructure habitats are species-rich but only partly support species associated with semi-natural grasslands</title>
      <description>This study makes part of the research project GINFRA – green rights-of-way infrastructure for biodiversity and ecosystem services. The aim of the project was to quantify whether linear infrastructure habitats (road verges and power-line corridors) support biodiversity by assessing the influence of the area of these habitats in the landscape, their contribution to landscape connectivity and population persistence.

The linked data was collected by surveying butterflies, bumblebees, and vascular plants in five types of prevalent grasslands (pastures, road verges along small gravel roads, road verges along big paved roads, power line corridors, and field borders). These grasslands were embedded in 32 landscapes with area 4 km² each, that differed in the area of linear infrastructure habitats (road verges and power line corridors) and semi-natural grasslands of high nature value, while other land-use types were kept constant. The landscapes were dominated by forest. 
Within each grassland habitat, the surveyor established a 200 m transect and then identified all butterflies and bumblebees along it. For plants, a 1 x 1 m quadrat was established at the centre of a 50 m section in each transect, i.e. each transect had four plots in which all plant species were identified.

Denna studie är en del av projektet GINFRA – green rights-of-way infrastructure for biodiversity and ecosystem services. Projektets huvudsyfte var att kvantifiera om linjära infrastrukturmiljöer (vägkanter och kraftledningsgator) bidrar till mångfalden av växter och insekter i olika rumsliga skalor. Detta gjordes genom att uppskatta hur linjära infrastrukturmiljöers mängd i landskapet bidrar till mångfalden samt hur mycket de bidrar till landskapets konnektivitet.
Datan samlades genom att inventera dagfjärilar, humlor, och växter i fem typer av gräsmarker (betesmarker, vägrenar längs enskilda vägar, vägrenar längs allmänna vägar, kraftledningsgator, och åkerkanter). Alla dessa habitat typer fanns inom 32 landskap med area 4 km2 som skilde sig i areal av linjära infrastrukturmiljöer (vägrenar och kraftledningsgator) och ängs-och betesmarker. Arealen av andra markanvändningar var konstanta mellan landskap och alla landskap var skogsdominerade.</description>
      <pubDate>Thu, 04 Apr 2024 09:16:47 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2023-23-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2023-23-1</guid>
      <dc:publisher>Swedish University of Agricultural Sciences</dc:publisher>
      <dc:creator>Juliana Dániel-Ferreira</dc:creator>
      <dc:creator>Yoan Fourcade</dc:creator>
      <dc:creator>Riccardo Bommarco</dc:creator>
      <dc:creator>Jörgen Wissman</dc:creator>
      <dc:creator>Erik Öckinger</dc:creator>
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