Find research datasets worth reusing

Alaska Peatland Experiment: 2010-2011 Root Respiration Experiment Root Fluxes

This dataset includes root respiration data collected at peak biomass during the 2010 and 2011 growing season along the wetland gradient. Data for 2010 was taken at the rich fen only and data for the 2011 season was taken at the rich fen and sedge/forb fen.

Alaska Peatland Experiment: 2010-2011 Root Respiration Experiment Aboveground biomass

This dataset includes aboveground biomass data collected at peak biomass during the 2010 and 2011 growing season along the wetland gradient. Data for 2010 was taken at the rich fen only and data for the 2011 season was taken at the rich fen and sedge/forb fen.

Alaska Peatland Experiment: 2010-2011 Root Respiration Experiment Ecosystem Respiration Fluxes

This dataset includes Ecosystem respiration data collected at peak biomass during the 2010 and 2011 growing season along the wetland gradient. Data for 2010 was taken at the rich fen only and data for the 2011 season was taken at the rich fen and sedge/forb fen.

Alaska Peatland Experiment: 2010-2011 Root Respiration Experiment Percent Cover

This dataset includes percent cover data collected at peak biomass during the 2010 and 2011 growing season along the wetland gradient. Data for 2010 was taken at the rich fen only and data for the 2011 season was taken at the rich fen and sedge/forb fen.

Alaska Peatland Experiment: 2010-2011 Root Respiration Experiment Soil Descriptions

This dataset includes soil description data from soil cores collected at peak biomass during the 2010 and 2011 growing season along the wetland gradient. Data for 2010 was taken at the rich fen only and data for the 2011 season was taken at the rich fen and sedge/forb fen.

Alaska Peatland Experiment: 2010-2011 Root Respiration Experiment Vascular Green Area

This dataset includes vascular green area data collected at peak biomass during the 2010 and 2011 growing season along the wetland gradient. Data for 2010 was taken at the rich fen only and data for the 2011 season was taken at the rich fen and sedge/forb fen.

openOpenMar 2021View details →

Effects of nutrients and organic carbon on the relative proportion of primary producers (microalgae) and heterotrophic decomposers (bacteria and fungi) during aquatic biofilm development in boreal peatland located near Fairbanks Alaska - 2018

1. Producer-decomposer interactions within aquatic biofilms can range from mutualistic associations to competition depending on available resources. The outcomes of such interactions have implications for biogeochemical cycling, and as such, may be especially important in northern peatlands, which are a global carbon sink and are expected to experience changes in resource availability with climate change. The purpose of this study was to evaluate the effects of nutrients and organic carbon on the relative proportion of primary producers (microalgae) and heterotrophic decomposers (bacteria and fungi) during aquatic biofilm development in a boreal peatland. Given that decomposers are often better competitors for nutrients than primary producers in aquatic ecosystems, we predicted that labile carbon subsidies would shift the biofilm composition towards heterotrophy owing to the ability of decomposers to outcompete primary producers for available nutrients in the absence of carbon limitation. 2. We manipulated nutrients (nitrate and phosphate) and organic carbon (glucose) in a full factorial design using nutrient-diffusing substrates in an Alaskan fen. 3. Heterotrophic bacteria were limited by organic carbon and algae were limited by inorganic nutrients. However, the outcomes of competitive interactions depended on background nutrient levels. Heterotrophic bacteria were able to outcompete algae for available nutrients when organic carbon was elevated and nutrient levels remained low, but not when organic carbon and nutrients were both elevated through enrichment. 4. Fungal biomass was significantly lower in the presence of glucose alone, possibly owing to antagonistic interactions with heterotrophic bacteria. In contrast to bacteria, fungi were stimulated along with algae following nutrient enrichment. 5. The decoupling of algae and heterotrophic bacteria in the presence of glucose alone shifted the biofilm trophic status towards heterotrophy. This effect was overturned

opencc-by-4.0Sep 2020View details →

Turbulence on natural peatland surface visualized using thermal videos

Videos of surface temperature excursion (T') from the mean on peatland surface which visualize the passage of atmospheric turbulence and its constituent eddies of varying size. These T' videos were produced from UAV nadir thermal videos recorded from a 500m altitude (Matrice 210 V2 quadcopter + Zenmuse XT2 thermal camera). The original thermal videos were recorded around midday on two dates, 6th and 28th August 2019.

opencc-by-4.0Nov 2023View details →

Vertical profiles of air temperature, relative humidity, wind speed and direction observed using UAV over the Mukhrino peatland in June 2022

Vertical profiles of air temperature and relative humidity were measured using the iMetXQ2 sensor onboard DJI Phantom 4 quad-copter; vertical profiles of wind speed and direction were obtained from the Phantom 4 flight logs as produced by the DJI proprietary algorithm.

dryad40/100

Peatland restoration in Norway – evaluation of ongoing monitoring and identification of plant indicators of restoration success

Norway launched a national action plan on wetland restoration in 2016. So far, 90% of the restoration effort has been on peatland restoration, with about 140 mires restored so far. There are three main restoration goals stated in the action plan: 1) Limit greenhouse gas (GHG) emissions, 2) climate adaptation, and 3) improve ecological condition. Quantifying the outcome of the restoration actions is necessary to evaluate whether the goals of the action plan are met. A vegetation monitoring protocol was suggested before restoration started and has been implemented at five restoration sites. As the peatland restoration effort in Norway is increasing, it is timely to evaluate if the data currently collected can measure peatland restoration outcomes. We evaluate the monitoring protocol based on statistical analyses of the data collected at two sites, describe how indicator species can be identified using generalized composition data used as the basis for classifying habitats in Norway (EcoSyst framework), and suggest the way forward for peatland restoration monitoring in Norway. Data collected according to the monitoring protocol can document changes in species composition at restoration sites but has limitations when the ecological complexity at the sites increases and reference sites are unavailable. We argue that adjusting the monitoring protocol will: 1) Facilitate alignment with existing peatland research; 2) connect better with monitoring programs where data is collected applying EcoSyst framework principles; and 3) enable upscaling to cover the wide variation emerging in peatland restoration.

opencc-zeroDec 2023View details →

opencc-by-4.0Feb 2024View details →

A Peatland Sub-Class Map for the Canadian Boreal Forest

Authors:  Pontone, N., Millard, K., Thompson, D. K., Guindon, L., Beaudoin A. (2024) Contact: NicholasPontone@cmail.carleton.ca   Description: A map of peatland sub-classes (bog, poor fen, rich fen and permafrost peat complex) for the Canadian Boreal Forest circa 2020 created using a three-stage hierarchical classification framework. Training and validation data consisted of peatland locations derived from various sources (field data, aerial photo interpretation, measurements documented in literature). A combination of multispectral data, L-band SAR and C-Band interferometric SAR coherence, forest structure, and ancillary variables were used as model predictors. Ancillary data were used to mask agricultural areas and urban regions, and account for regions that may exhibit permafrost Pixel Values: 1: Bog 2: Rich Fen 3: Poor Fen 4: Peatland Permafrost Complex 5: Mineral Wetlands 6: Water 7: Upands 8: Agriculture 9: Urban Recommended Colours 1: 4C0073 2: FFFF00 3: E64C00 4: 727272 5: F4C2C2 6: 0070FF 7: 4C7300 8: 623131 9: 000000   Please cite as: Pontone, N., Millard, K., Thompson, D.K., Guindon, L. and Beaudoin, A. (2024), A hierarchical, multi-sensor framework for peatland sub-class and vegetation mapping throughout the Canadian boreal forest. Remote Sens Ecol Conserv. https://doi.org/10.1002/rse2.384   This data was released in combination with PALSAR-2 L-band dual-polarized radar backscatter summer composites (circa 2020).  Beaudoin, A., Villemaire, P., Gignac, C., Tolszczuk, S., Guindon, L., Pontone, N., Millard, C. (2024). Canada’s PALSAR-2 dual-polarized L-band radar summer backscatter composite, circa 2020. Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Quebec, Canada. <a href="https://doi.org/10.23687/8ec4ee78-9240-4bd0-9c97-d3a27829e209" target="_blank" rel="nofollow noopener">https://doi.org/10.23687/8ec4ee78-9240-4bd0-9c97-d3a27829e209</a> The peatland map is also available as a Google Earth Engine asset (projects/ee-peatlandthesis/assets/PeatlandMap8b_2023_07_17).

opencc-by-4.0Mar 2024View details →

Supplementary Information for Chemical Properties of the Southeast Asian Haze from Indonesian Peatland Fires

This repository contains supplementary information (SI-1 and SI-2) related to the article entitled "Chemical Properties of the Southeast Asian Haze from Indonesian Peatland Fires" published in Global Environmental Research (GER, Volume 27, No.1, Pages 37–48, Year 2023, <a href="https://doi.org/10.57466/ger.27.1_37" target="_blank" rel="noopener">https://doi.org/10.57466/ger.27.1_37</a>). SI-1 contains the newly created dataset used in GER and SI-2 contains supplementary documents for Sections 4 and 6  as well as tables and figures referred to but not included in the main article of GER.

opencc-by-4.0Mar 2024View details →

InSAR measured permafrost degradation of palsa peatlands in northern Sweden Datasets

Datasets used in the writing of "InSAR measured permafrost degradation of palsa peatlands in northern Sweden" published in The Cryosphere.  The processed interferometric data and deformation maps are commercially sensitive and may be made available upon reasonable request (by email) from the corresponding author.

opencc-by-4.0Apr 2024View details →

Original data for the paper "Ericaceous dwarf shrubs in drained forested peatlands: distribution, dynamics and key factors in a restoration experiment"

Open the record for dataset details and reuse information.

Fig. 6 in Exploring the diversity and ecology of testate amoebae in West Siberian peatlands

Fig. 6. Plots of taxon abundance versus moisture content for the twelve most abundant testate amoeba taxa. All taxa show a significant correlation with moisture (Spearman Rs, P <0.05) with the exception of Nebela tincta.

Fig. 2 in Exploring the diversity and ecology of testate amoebae in West Siberian peatlands

Fig. 2. Author location based on institutional details for 652 publications listed in SCOPUS containing the phrase 'testate amoebae' in keywords, abstract and title. SCOPUS is not a comprehensive source of data on testate amoeba publication (probable biases towards the more recent and English language literature) but provides a reasonable representation of the overall state of the literature. Colour density is proportional to number of publications with grey shading for countries with no identified publications. Map created using the StatSilk mapper tool.

Fig. 1 in Exploring the diversity and ecology of testate amoebae in West Siberian peatlands

Fig. 1. Trends in publications including the phrase 'testate amoebae' in title, keywords or abstract as determined by a SCOPUS search February 2017. Database publication trends are not necessarily an accurate reflection of quantity of research as not all older material is digitized and there has been a general trend for researchers to publish a greater number of shorter papers. However results are comparable between search terms so it is interesting to note the same data for 'naked amoebae' as a comparison. An important driver of increasing research is palaeoecology and some key events are highlighted for comparison.

Fig. 5 in Exploring the diversity and ecology of testate amoebae in West Siberian peatlands

Fig. 5. Ordination biplot of RDA of testate amoeba species data showing vector for sample moisture content and centroids for sites (red) and vegetation types (green). Site codes: Gorno-Slinkino1: GS1, Gorno-Slinkino2: GS2, Surgut1: S1, Tobolsk1: T1, Tobolsk2: T2, Tobolsk3: T3, Tobolsk4: T4, Urengoi1: U1, Urengoi2: U2, Urengoi3: U3, Vinokurova1: V1, Vinokurova2: V2, Zapolyarnyi1: Z1.

Fig. 4 in Exploring the diversity and ecology of testate amoebae in West Siberian peatlands

Fig. 4. NMDS ordination of testate amoeba community data based on Bray-Curtis distance. Showing assemblages by site with symbol size proportional to moisture content of sample. Plot A shows data based on relative abundance (percentage) while Plot B shows data based on absolute abundance (concentration).