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52 results for “selective harvesting”
Fig. 2 in Autumn habitat selection of the harvest mouse (Micromys minutus Pallas, 1771) in a rural and fragmented landscape
Fig. 2. Map representing the study area and the different habitat types present in it. The Caricteum acutiformis patch in the North is the main tall sedge meadow, where most of the study was conducted. The transects (red lines) shown on this map were the ones used for trapping (i.e., for the Capture, Mark and Release event).
Fig. 7 in Autumn habitat selection of the harvest mouse (Micromys minutus Pallas, 1771) in a rural and fragmented landscape
Fig. 7. Relocations of the four male individuals M1, M2, M3 and M4. M1 was tracked from the 19th to the 21th of September 2017. M2 was tracked from the 06th to the 10th of October 2017. M3 was tracked from the 15th to the 19th of October 2017. M4 was tracked from the 15th to the 17th of October 2017.
Size-selective harvesting affects the immunocompetence of guppies exposed to the parasite Gyrodactylus
<p>Harvesting is typically positively size-selective, targeting large individuals. This is expected to lead to reduced average body size and earlier maturation, i.e., faster life histories. Such changes can also affect traits seemingly unrelated to harvesting, including immunocompetence. The pace-of-life syndrome predicts that faster life histories are correlated with decreased immunocompetence, i.e., a negative association between positively size-selective harvesting and immunocompetence. However, the energetic trade-off between early growth and immunocompetence suggests the opposite pattern. Here, we empirically evaluated these predictions using an experimental system consisting of the ectoparasite Gyrodactylus turnbulli and lines of guppies Poecilia reticulata that had been subjected to either positively, randomly, or negatively size-selective harvest. We followed the infection progression of individually infected fish for 15 days. We found significant differences between the harvested lines: fish from the negative size-selection lines had the highest parasite loads. During the early phase of the infection, parasite loads were the lowest in the positive-harvested lines, whereas the terminal loads were the lowest for the randomly harvested lines. These results agree with the predictions from the energetic trade-off hypothesis but contradict with the pace-of-life syndrome ones. To our knowledge, this is the first demonstration of the consequences of size-selective harvesting on immunocompetence.</p>
Data and code from: Recreational fisheries selectively capture and harvest large predators
<p>Size and species selective harvest, inevitably alters the composition of targeted populations and communities. This can potentially harm fish stocks, ecosystem functionality, and related services, as evidenced in numerous commercial fisheries. The high popularity of rod-and-reel recreational fishing, practiced by hundreds of millions globally, raises concerns about similar deteriorating effects. Despite its prevalence, the species and size selectivity of recreational fisheries remain largely unquantified due to a lack of combined catch data and fisheries-independent surveys. This study addresses this gap by using standardised monitoring data and over 60,000 digital angling catch reports from 62 distinct fisheries. The findings demonstrate a pronounced selectivity in recreational fisheries, targeting top-predators and large individuals. Catch-and-release practices reduced the overall harvest by 60 % but did not substantially alter this selectivity. The strong species- and size-specific selectivity mirror patterns observed in other fisheries, emphasising the importance of managing the potential adverse effects of recreational fisheries selective mortality and overfishing.</p>
Size-selective harvesting impacts learning and decision-making in zebrafish
<p><span>Size-selective harvesting common to fisheries is known to evolutionarily alter life-history and behavioural traits in exploited fish populations. Changes in these traits may in turn modify learning and decision-making abilities through energetic trade-offs with brain investment that can vary across development or via correlations with personality traits. We examined the hypothesis of size-selection-induced alteration of learning performance in three selection lines of zebrafish (<em>Danio</em> <em>rerio</em>) generated through intensive harvesting for large, small and random body-size for five generations followed by no further selection for ten generations that allowed examining evolutionarily fixed outcomes. We tested associative learning ability throughout ontogeny in fish groups using a colour-discrimination paradigm with a food reward, and the propensity to make group decisions in an associative task. All selection lines showed significant associative abilities that improved across ontogeny. The large-harvested line fish showed a significantly slower associative learning speed as subadults and adults than the controls. We found no evidence of memory decay as a function of size-selection. Decision-making speed did not vary across lines, but the large-harvested line made faster decisions during the probe trial. Collectively, our results show that size-selective harvesting evolutionarily alters associative and decision-making abilities in zebrafish, which could affect resource acquisition and survival in exploited fish populations. </span></p>
Size-selective harvesting impacts learning and decision-making in zebrafish
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Data and code from: Recreational fisheries selectively capture and harvest large predators
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Size-selective harvesting affects the immunocompetence of guppies exposed to the parasite Gyrodactylus
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Data from: Interplay of trophic relaxation and directional selection shapes eco-evolutionary responses to selective harvest in predator-prey systems
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Semantic links between selected CSV datasets harvested by the European Data Portal and the DBpedia knowledge graph
<p>These dataset contains the results of the interlinking process between selected csv datasets harvested by the European DAta Portal and the DBpedia knowledge graph. </p> <p>We aim at answering the following questions:<br> What are the more popular column types? This will provide hindsight about what the datasets hold and how they can be joined. It will also provide hindsight on what specific linking schemes could be applied in future elements.<br> What datasets have columns of the same type? This will suggest datasets that may be similar or related.<br> What entities appear in most datasets (co-referent entities)? This will suggest entities for which more data is published.<br> What datasets share a particular entity? This will suggest datasets that may be joined, or are related through that particular entity</p> <p>Results are provided as augmented tables, that contain the columns of the original csv, plus a metadata file in JSON-LD format. The metadata files can be loaded in an RDF-store and queried.</p> <p>Refer to the accompanying report of activities for more details on the methodolog and how to query the dataset.</p> <p><br> </p>
Density-dependent natural selection mediates harvest-induced trait changes
<p>Rapid life-history changes caused by size-selective harvesting are often interpreted as a response to direct harvest selection against a large body size. However, similar trait changes may result from a harvest-induced relaxation of natural selection for a large body size via density-dependent selection. Here, we show evidence of such density-dependent selection favouring large-bodied individuals at high population densities, in replicated pond populations of medaka fish. Harvesting, in contrast, selected medaka directly against a large body size and, in parallel, decreased medaka population densities. Five years of harvesting were enough for harvested and unharvested medaka populations to inherit the classically-predicted trait differences, whereby harvested medaka grew slower and matured earlier than unharvested medaka. We demonstrate that this life-history divergence was not driven by direct harvest selection for a smaller body size in harvested populations, but by density-dependent natural selection for a larger body size in unharvested populations.</p>
Rational Material Selection for Li-Ion-Based Thermogalvanic Harvesting Devices
<p>This dataset contains the raw data for the publication "Rational Material Selection for Li-Ion-Based Thermogalvanic Harvesting Devices" by Hubrechtsen et al, published in Chemistry of Materials. The upload includes all data for the original figures presented in the main paper and the supporting information, organized in labelled folders containing raw data and the corresponding figure. </p>
Harvest and natural predation shape selection for behavioral predictability in male wild turkeys
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Phenotypic data for: Does size-selective harvesting erode adaptive potential to thermal stress?
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The battle between harvest and natural selection creates small and shy fish
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Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of plant diversity in units of ShannonWeaverHprime on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains plant diversity measurements in ShannonWeaverHprime units and were aggregated to a yearly timescale.
Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of relative frequency of Acer rubrum (red maple) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains relative frequency of Acer rubrum (red maple) measurements in percent units and were aggregated to a yearly timescale.
Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of relative frequency of Acer saccharum (sugar maple) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains relative frequency of Acer saccharum (sugar maple) measurements in percent units and were aggregated to a yearly timescale.
Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of relative frequency of Betula lenta (sweet birch or black birch) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains relative frequency of Betula lenta (sweet birch or black birch) measurements in percent units and were aggregated to a yearly timescale.
Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of relative frequency of Carya cordiformis (bitternut hickory) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains relative frequency of Carya cordiformis (bitternut hickory) measurements in percent units and were aggregated to a yearly timescale.
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