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      <title>Temperature, precipitation, birch and fireweed chemistry, and moose (Alces alces) calf mass in northern Sweden</title>
      <description>Data and R code used in piecewise structural equation modelling for a study that compared the direct and indirect impacts of temperature and precipitation on moose calf mass in northern Sweden. The study was initiated in 1988 in an effort to examine the impacts of climate change on common forage species of the economically and culturally important moose in Sweden. It ran until 1997 and was re-started in 2017. 

Temperature and precipitation variables are derived from SMHI weather station data. Average moose calf mass for study sites is derived from data from the Swedish Hunter's Association and individual hunting teams. Both weather and moose calf mass represent mean values within a 50km radius of each study site. Nitrogen and neutral detergent fibre measures are the result of near-infrared spectroscopy modelling, using 50 samples to calibrate the model. Samples were collected from 1-ha sites and included material from 30 individuals of either downy birch or fireweed.

The dataset contains the following files.

DataWeatherVegMoose.tsv is the data itself (TSV format, 236 rows × 10 columns). This includes the following variables: 

Total precipitation (mm) from the start of the growing season, defined as the first day of the first four consecutive days each calendar year that each have a mean daily temperature greater than or equal to 5 degrees C, to July 17 of that year. This is an average value for all SMHI weather stations within a 50 km radius of a site. 

Mean daily average temperature from the start of the growing season, defined as the first day of the first four consecutive days each calendar year that each have a mean daily temperature greater than or equal to 5 degrees C, to July 17 of that year. This is an average value for all SMHI weather stations within a 50 km radius of a site. 

Proportion of days from the start of the growing season, defined as the first day of the first four consecutive days each calendar year that each have a mean daily temperature greater than or equal to 5 degrees C, to July 17 of that year, when the maximum daily temperature was greater than or equal to 20 degrees C. This is an average value for all SMHI weather stations within a 50 km radius of a site. 

Neutral detergent fibre content of downy birch leaves at the site, based on a representative sample and calculated using Near Infrared Spectroscopy

Neutral detergent fibre content of fireweed stems, leaves, and flowers at the site, based on a representative sample and calculated using Near Infrared Spectroscopy
Nitrogen content of downy birch leaves at the site, based on a representative sample and calculated using Near Infrared Spectroscopy

Nitrogen content of fireweed stems, leaves, and flowers at the site, based on a representative sample and calculated using Near Infrared Spectroscopy
Mean date-adjusted moose calf slaughter weight for calves reportedly shot within 50km of the site. Values must represent the mean weight of at least 10 calves to be included. 

The documentation file Key_DataWeatherVegMoose.tsv contains detailed information about the variables in the dataset.

The documentation file sites_no.tsv contains codes for the different sites where data was collected. It corresponds with the variable Site in the dataset DataWeatherVegMoose.tsv.

R_code_piecewise_SEM.r is the R script used to calculate the piecewise structural equation models linking weather to moose calf mass directly and via forage chemistry.  

 R_code_piecewise_SEM_log.txt is output of the script with session information. If R , with the packages nlme and piecewiseSEM, is installed, it can be  generated by running this from a shell:
Rscript R_code_piecewise_SEM.r &gt; R_code_piecewise_SEM_log.txt</description>
      <pubDate>Wed, 18 Jan 2023 14:57:29 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2022-245-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2022-245-1</guid>
      <dc:publisher>Swedish University of Agricultural Sciences</dc:publisher>
      <dc:creator>Sheila Holmes</dc:creator>
      <dc:creator>Kjell Danell</dc:creator>
      <dc:creator>John Ball</dc:creator>
      <dc:creator>Göran Ericsson</dc:creator>
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    <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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