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Sökning: WFRF:(Holmgren E) > Sveriges Lantbruksuniversitet

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1.
  • Barrio, Isabel C., et al. (författare)
  • Background invertebrate herbivory on dwarf birch (Betula glandulosa-nana complex) increases with temperature and precipitation across the tundra biome
  • 2017
  • Ingår i: Polar Biology. - : Springer. - 0722-4060 .- 1432-2056. ; 40:11, s. 2265-2278
  • Tidskriftsartikel (refereegranskat)abstract
    • Chronic, low intensity herbivory by invertebrates, termed background herbivory, has been understudied in tundra, yet its impacts are likely to increase in a warmer Arctic. The magnitude of these changes is however hard to predict as we know little about the drivers of current levels of invertebrate herbivory in tundra. We assessed the intensity of invertebrate herbivory on a common tundra plant, the dwarf birch (Betula glandulosa-nana complex), and investigated its relationship to latitude and climate across the tundra biome. Leaf damage by defoliating, mining and gall-forming invertebrates was measured in samples collected from 192 sites at 56 locations. Our results indicate that invertebrate herbivory is nearly ubiquitous across the tundra biome but occurs at low intensity. On average, invertebrates damaged 11.2% of the leaves and removed 1.4% of total leaf area. The damage was mainly caused by external leaf feeders, and most damaged leaves were only slightly affected (12% leaf area lost). Foliar damage was consistently positively correlated with mid-summer (July) temperature and, to a lesser extent, precipitation in the year of data collection, irrespective of latitude. Our models predict that, on average, foliar losses to invertebrates on dwarf birch are likely to increase by 6-7% over the current levels with a 1 degrees C increase in summer temperatures. Our results show that invertebrate herbivory on dwarf birch is small in magnitude but given its prevalence and dependence on climatic variables, background invertebrate herbivory should be included in predictions of climate change impacts on tundra ecosystems.
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3.
  • Holmgren, Eva, et al. (författare)
  • Swedish forest commons : A matter of governance?
  • 2010
  • Ingår i: Forest Policy and Economics. - : Elsevier BV. - 1389-9341 .- 1872-7050. ; 12:6, s. 423-431
  • Tidskriftsartikel (refereegranskat)abstract
    • Around 100 years ago, when Crown land in the interior of northern Sweden was privatized, part of the forest land was set aside as forest commons. Today, there are 33 such forest commons jointly managed and owned in common mainly by private forest owners. The forest commons may be looked upon as a means by which the state controls the production of and returns from the forests belonging to small and less affluent forest owners. Further, an attempt has been made to use the forests as a tool to move the self-interests of these small forest owners closer to providing public goods. Forest commons thus hold a contested status, as private lands under public control and as a partly de-regulated form of ownership. This paper examines the extent to which forest commons are currently managed directly by the government, comparing this with the general trend in forest policy towards governance and less prescriptive measures, which often take account of market and participative goals. Building upon Appelstrand (2007), this paper describes the major policy instruments relevant for forest commons from 1861 to 2005. We conclude that direct government management remains dominant, with the major legislation pertaining to forest commons dating back to the 1950s. While governance may seem to be inherent in the forest commons concept, the development of governance has not been fully realised given the relatively strict government-steered framework.
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4.
  • Lidestav, Gun, et al. (författare)
  • Shareholder perceptions of individual and common benefits in Swedish forest commons
  • 2013
  • Ingår i: International Journal of the Commons. - Utrecht : Igitur publishing. - 1875-0281. ; 7:1, s. 164-182
  • Tidskriftsartikel (refereegranskat)abstract
    • In the period 1861 to 1918, thirty-three commons were established in Northern Sweden. This was linked to the finalisation of the Great Redistribution of Forest Holdings in Dalarna and the delimitation process in Västerbotten and Norrbotten. They were intended to serve as an instrument for improved and sustained forest production, the viability of farmers and the liveability of the rural communities in the areas where they were established. The aim of this paper is to describe the results of a study examining how three of these forest commons, one from each region, have benefitted the local shareholders and their community. The perceptions among forest common shareholders were assessed using a questionnaire. The study also assessed economic impact on shareholders in terms of extent and use of the dividend from each of the commons for the period 1958-2007, highlighting the extent of the economic support to individual shareholders and to the local community. Results reveal large differences between the three cases; there was a positive correlation between the extent of the economic support and contentment among the shareholders.
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5.
  • Nyström, Mattias, et al. (författare)
  • Detection of windthrown trees using airborne laser scanning
  • 2014
  • Ingår i: International Journal of Applied Earth Observation and Geoinformation. - : Elsevier BV. - 0303-2434 .- 1569-8432. ; 30, s. 21-29
  • Tidskriftsartikel (refereegranskat)abstract
    • In this study, a method has been developed for the detection of windthrown trees under a forest canopy, using the difference between two elevation models created from the same high density (65 points/m(2)) airborne laser scanning data. The difference image showing objects near the ground was created by subtracting a standard digital elevation model (DEM) from a more detailed DEM created using an active surface algorithm. Template matching was used to automatically detect windthrown trees in the difference image. The 54 ha study area is located in hemi-boreal forest in southern Sweden (Lat. 58 degrees 29' N, Long. 13 degrees 38' E) and is dominated by Norway spruce (Picea abies) with 3.5% deciduous species (mostly birch) and 1.7% Scots pine (Pinus sylvestris). The result was evaluated using 651 field measured windthrown trees. At individual tree level, the detection rate was 38% with a commission error of 36%. Much higher detection rates were obtained for taller trees; 89% of the trees taller than 27 m were detected. For pine the individual tree detection rate was 82%, most likely due to the more easily visible stem and lack of branches. When aggregating the results to 40 m square grid cells, at least one tree was detected in 77% of the grid cells which according to the field measurements contained one or more windthrown trees. (C) 2014 Elsevier B.V. All rights reserved.
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6.
  • Sandberg, Gustaf, 1982, et al. (författare)
  • L- and P-band backscatter intensity for biomass retrieval in hemiboreal forest
  • 2011
  • Ingår i: Remote Sensing of Environment. - : Elsevier BV. - 0034-4257 .- 1879-0704. ; 115:11, s. 2874 - 2886
  • Tidskriftsartikel (refereegranskat)abstract
    • At present, the greatest source of uncertainty in the global carbon cycle is in the terrestrial ecosystems. In orderto reduce these uncertainties it is necessary to provide consistent and accurate global estimates of the worldforest biomass. One of the most promising methods for obtaining such estimates is through polarimetric SARbackscatter measurements at low frequencies. In this paper, the relation between polarimetric SAR backscatterat L- and P-bands and forest biomass is investigated using data acquired within the BioSAR-I campaign insouthern Sweden during 2007. Methods for estimating biomass on stand level using these data are developedand evaluated, and the results for the two frequency bands are compared. For L-band data, the best results wereobtained using HV-polarized backscatter only, giving estimation errors in terms of root mean square errors(RMSE) between 31% and 46% of the mean biomass for stands with biomass ranging from 10 to 290 t/ha, and an(adjusted) coefficient of determination (R2) between 0.4 and 0.6. For P-band data, the results are better thanfor L-band. Models using HV- or HH-polarized P-band backscatter give similar results, as does a modelincluding both HV and HH. The RMSEs were between 18 and 27%, and the R2 values were between 0.7 and 0.8.
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7.
  • Ståhl, Göran, et al. (författare)
  • Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time – and how this affects applications
  • 2024
  • Ingår i: Forest Ecosystems. - : Elsevier. - 2095-6355 .- 2197-5620. ; 11
  • Tidskriftsartikel (refereegranskat)abstract
    • Remotely sensed data are frequently used for predicting and mapping ecosystem characteristics, and spatially explicit wall-to-wall information is sometimes proposed as the best possible source of information for decision-making. However, wall-to-wall information typically relies on model-based prediction, and several features of model-based prediction should be understood before extensively relying on this type of information. One such feature is that model-based predictors can be considered both unbiased and biased at the same time, which has important implications in several areas of application. In this discussion paper, we first describe the conventional model-unbiasedness paradigm that underpins most prediction techniques using remotely sensed (or other) auxiliary data. From this point of view, model-based predictors are typically unbiased. Secondly, we show that for specific domains, identified based on their true values, the same model-based predictors can be considered biased, and sometimes severely so.We suggest distinguishing between conventional model-bias, defined in the statistical literature as the difference between the expected value of a predictor and the expected value of the quantity being predicted, and design-bias of model-based estimators, defined as the difference between the expected value of a model-based estimator and the true value of the quantity being predicted. We show that model-based estimators (or predictors) are typically design-biased, and that there is a trend in the design-bias from overestimating small true values to underestimating large true values. Further, we give examples of applications where this is important to acknowledge and to potentially make adjustments to correct for the design-bias trend. We argue that relying entirely on conventional model-unbiasedness may lead to mistakes in several areas of application that use predictions from remotely sensed data.
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8.
  • Ulander, Lars, 1962, et al. (författare)
  • BIOSAR 2010 - A SAR campaign in support to the BIOMASS mission
  • 2011
  • Ingår i: Proceedings of IGARSS 2011 Symposium, Vancouver, Canada, 24-29 July, 2011. - 9781457710056 ; , s. 1528-1531, s. 1528-1531
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
    • The ESA funded campaign BioSAR 2010 was carried out at the forestry test site Remningstorp in southern Sweden, in support to the BIOMASS satellite mission under study. Fully polarimetric SAR data were successfully acquired at L- and P-band using ONERA's multi-frequency system SETHI. In addition with other data types gathered, e.g. LiDAR and in-situ measurements, the compiled data set will be used for analyses and comparisons with biomass estimation results obtained at the same test site in the campaign BioSAR 2007, in which DLR's E-SAR made the SAR imaging. Detection of forest changes, robustness of biomass retrieval algorithms and long-term P-band coherence will be in focus as well as cross-validations between the two SAR sensors.
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