Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2020
Authors
Jiangsan Zhao Dmitry Kechasov Boris Rewald Gernot Bodner Michel Verheul Nicholas Clarke Jihong Liu ClarkeAbstract
Hyperspectral imaging has many applications. However, the high device costs and low hyperspectral image resolution are major obstacles limiting its wider application in agriculture and other fields. Hyperspectral image reconstruction from a single RGB image fully addresses these two problems. The robust HSCNN-R model with mean relative absolute error loss function and evaluated by the Mean Relative Absolute Error metric was selected through permutation tests from models with combinations of loss functions and evaluation metrics, using tomato as a case study. Hyperspectral images were subsequently reconstructed from single tomato RGB images taken by a smartphone camera. The reconstructed images were used to predict tomato quality properties such as the ratio of soluble solid content to total titratable acidity and normalized anthocyanin index. Both predicted parameters showed very good agreement with corresponding “ground truth” values and high significance in an F test. This study showed the suitability of hyperspectral image reconstruction from single RGB images for fruit quality control purposes, underpinning the potential of the technology—recovering hyperspectral properties in high resolution—for real-world, real time monitoring applications in agriculture any beyond.
Abstract
Protected Areas (PAs) in Tanzania had been established originally for the goal of habitat, landscape and biodiversity conservation. However, human activities such as agricultural expansion and wood harvesting pose challenges to the conservation objectives. We monitored a decade of deforestation within 708 PAs and their unprotected buffer areas, analyzed deforestation by PA management regimes, and assessed connectivity among PAs. Data came from a Landsat based wall-to-wall forest to non-forest change map for the period 2002–2013, developed for the definition of Tanzania’s National Forest Reference Emissions Level (FREL). Deforestation data were extracted in a series of concentric bands that allow pairwise comparison and correlation analysis between the inside of PAs and the external buffer areas. Half of the PAs exhibit either no deforestation or significantly less deforestation than the unprotected buffer areas. A small proportion (10%; n = 71) are responsible for more than 90% of the total deforestation; but these few PAs represent more than 75% of the total area under protection. While about half of the PAs are connected to one or more other PAs, the remaining half, most of which are Forest Reserves, are isolated. Furthermore, deforestation inside isolated PAs is significantly correlated with deforestation in the unprotected buffer areas, suggesting pressure from land use outside PAs. Management regimes varied in reducing deforestation inside PA territories, but differences in protection status within a management regime are also large. Deforestation as percentages of land area and forested areas of PAs was largest for Forest Reserves and Game Controlled areas, while most National Parks, Nature Reserves and Forest Plantations generally retained large proportions of their forest cover. Areas of immediate management concern include the few PAs with a disproportionately large contribution to the total deforestation, and the sizeable number of PAs being isolated. Future protection should account for landscapes outside protected areas, engage local communities and establish new PAs or corridors such as village-managed forest areas.
Authors
Elisabeth H.M. Temme Reina E. Vellinga Henri de Ruiter Susanna Kugelberg Mirjam van de Kamp Anna Birgitte Milford Roberta Alessandrini Fabio Bartolini Alberto Sanz-Cobena Adrian LeipAbstract
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Authors
Claire R. Peart Sergio Tusso Saurabh D. Pophaly Fidel Botero-Castro Chi-Chih Wu David Aurioles-Gamboa Amy B. Baird John W. Bickham Jaume Forcada Filippo Galimberti Neil J. Gemmell Joseph I. Hoffman Kit M. Kovacs Mervi Kunnasranta Christian Lydersen Tommi Nyman Larissa Rosa de Oliveira Anthony J. Orr Simona Sanvito Mia Valtonen Aaron B. A. Shafer Jochen B. W. WolfAbstract
The effective size of a population (Ne), which determines its level of neutral variability, is a key evolutionary parameter. Ne can substantially depart from census sizes of present-day breeding populations (NC) as a result of past demographic changes, variation in life-history traits and selection at linked sites. Using genome-wide data we estimated the long-term coalescent Ne for 17 pinniped species represented by 36 population samples (total n = 458 individuals). Ne estimates ranged from 8,936 to 91,178, were highly consistent within (sub)species and showed a strong positive correlation with NC (R2adj = 0.59; P = 0.0002). Ne/NC ratios were low (mean, 0.31; median, 0.13) and co-varied strongly with demographic history and, to a lesser degree, with species’ ecological and life-history variables such as breeding habitat. Residual variation in Ne/NC, after controlling for past demographic fluctuations, contained information about recent population size changes during the Anthropocene. Specifically, species of conservation concern typically had positive residuals indicative of a smaller contemporary NC than would be expected from their long-term Ne. This study highlights the value of comparative population genomic analyses for gauging the evolutionary processes governing genetic variation in natural populations, and provides a framework for identifying populations deserving closer conservation attention.
Authors
Lang Liu Yongjie Kuang Fang Yan Shaofang Li Bin Ren Gokul Gosavi Carl Jonas Jorge Spetz Xiangju Li Xifeng Wang Xueping Zhou Huanbin ZhouAbstract
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Authors
Junjun Lu Yuxin Miao Wei Shi Jingxin Li Xiaoyi Hu Zhichao Chen Xinbing Wang Krzysztof KusnierekAbstract
RapidSCAN is a portable active canopy sensor with red, red-edge, and near infrared spectral bands. The objective of this study is to develop and evaluate a RapidSCAN sensor-based precision nitrogen (N) management (PNM) strategy for high-yielding rice in Northeast China. Six rice N rate experiments were conducted from 2014 to 2016 at Jiansanjiang Experiment Station of China Agricultural University in Northeast China. The results indicated that the sensor performed well for estimating rice yield potential (YP0) and yield response to additional N application (RIHarvest) at the stem elongation stage using normalized difference vegetation index (NDVI) (R2 = 0.60–0.77 and relative error (REr) = 6.2–8.0%) and at the heading stage using normalized difference red edge (NDRE) (R2 = 0.70–0.82 and REr = 7.3–8.7%). A new RapidSCAN sensor-based PNM strategy was developed that would make N recommendations at both stem elongation and heading growth stages, in contrast to previously developed strategy making N recommendation only at the stem elongation stage. This new PNM strategy could save 24% N fertilizers, and increase N use efficiencies by 29–35% as compared to Farmer N Management, without significantly affecting the rice grain yield and economic returns. Compared with regional optimum N management, the new PNM strategy increased 4% grain yield, 3–10% N use efficiencies and 148 $ ha−1 economic returns across years and varieties. It is concluded that the new RapidSCAN sensor-based PNM strategy with two in-season N recommendations using NDVI and NDRE is suitable for guiding in-season N management in high-yield rice management systems. Future studies are needed to evaluate this RapidSCAN sensor-based PNM strategy under diverse on-farm conditions, as well as to integrate it into high-yield rice management systems for food security and sustainable development.
Authors
D. Fjeld Mikael Rönnqvist Patrik FlisbergAbstract
Payment tariffs for logging truck transport in Nordic countries are typically based on the loaded transport distance. Local tariffs often provide a good representation of the mean cost, however, as variation in topography and the transport environment increases; loaded distance alone represents the actual cost poorly. In addition, routes with increasing curvature also constitute more frequent braking and acceleration cycles. Moreover, driving in such topographical environments during the winter raises additional safety and operator stress issues. This study examines the situation in Norway where logging truck routes often start in mountainous regions. It tests the applicability of a route-generation system developed in Sweden and determines if it can be adopted in Norway. The case study is based on 30 detailed routes from each country, reported and analyzed by their respective transport managers. Based on typical local tariffs, the results show the route-specific variation in costs and profit margins associated with the varying transport environments. A framework for classifying transport environments is proposed as a basis for tariff agreements that better represent the actual transport cost. This increases fairness and supports economic sustainability for transporters. Study Implications: The proposed route-specific cost computation approach can be used by managers to develop more equitable tariff systems between transporters and transport service buyers. In addition, it can be used to provide route selections that are more easily handled in fully automated systems. This has been done in Sweden and has now been tested in Norway. This provides a first step for other countries and regions to follow suit. Lastly, the proposed approach enables a more equitable service payment for all parties, providing transporters with a better balance between revenues and costs.
Abstract
No abstract has been registered