Research and Innovation in the Private Forestry Sector: Past Successes and Future Opportunities

2021 ◽  
Author(s):  
Jessica Homyack ◽  
Eric Sucre ◽  
Lauren Magalska ◽  
Thomas Fox

Abstract The private forestry sector faces enormous challenges from complex environmental issues concurrent with societal concerns about intensive forest management and application of silvicultural tools. At the same time, research and development spending and the scientific workforce in the forestry sector has declined. However, the forestry sector has a long history of strategic deployment of science and technology to manage timberlands for many uses, including ecological services. To address science and societal needs from future forests, we describe past successes and potential future innovations of the forestry sector across (1) genetics, (2) silviculture and productivity, (3) harvesting and logging technology, (4) environmental sustainability, and (5) remote sensing and unmanned aerial vehicles. Developing technology is only one component, however; progressing towards sector goals of diversifying the workforce, explicitly valuing research collaborations, and integrating big data across ownerships to guide management decisions will hasten innovation. With the growing complexity of social-ecological-economic challenges, the private forestry sector must enact a tactical approach to addressing stressors with evolving research structures. We offer a vision of a vibrant private forestry sector poised to integrate technological innovation to continue meeting society’s needs through the intersecting effects of climate change and other challenges. Study Implications The complexity of challenges facing private forest managers is growing as stressors from climate change interact with social and economic pressures on forests. Further, spending on forestry research and development and student enrollment in forestry degree programs has declined. In this article, we describe significant technological improvements in regenerating, growing, and sustainably harvesting intensively managed forest through a changing research landscape. We review key past examples of production and sustainability improvements and describe future innovation space across the intensively managed conifer stands through the life cycle of seed-to-saw. We envision that technological improvements in forest genetics, remotely operated harvesting equipment, high-resolution information about vegetation and the earth’s surface, and analysis of big data will increase the private sector’s ability to make precise management decisions. A more developed and broader technological tool set will ensure the private forest sector is poised to supply ecosystem services and demand for wood products. To realize the gains from future innovation, the forest sector needs to support initiatives that explicitly value an inclusive and diverse workforce, cross-disciplinary problem-solving, and improved communication with external stakeholders.

2015 ◽  
Vol 5 (2) ◽  
pp. 187-202 ◽  
Author(s):  
Колесниченко ◽  
Elena Kolesnichenko ◽  
Османов ◽  
Zhasym Osmanov

In this article from the standpoint of structural approach the content of economic security in key areas of the Russian economy, including forestry. The study formed the methodological basis of the scientific concept of economic security in the forestry sector in the face of increasing climate change and increasing anthropogenic load. The analysis of theoretical positions regarding disclosure of economic security of the forest sector, and formed the author´s position regarding the disclosure of economic security of the forest sector.


2019 ◽  
Vol 21 (1) ◽  
pp. 112-125
Author(s):  
J.C. Tieguhong ◽  
P.T. Ketchatang ◽  
E. Chia ◽  
S. Assembe-Mvondo ◽  
V.O. Oeba

2020 ◽  
Vol 40 (4) ◽  
pp. 471-489
Author(s):  
Dinah Rajak

In recent years the oil industry has shifted from climate change denialism to advocacy of the Paris Agreement, championing sustainability in an apparent assertion (rather than rejection) of corporate responsibility. Meanwhile growth forecasts continue unabated to finance the industry’s enthusiasm for upstream ventures in uncharted territories. How do extractive companies, and those who work in them, square this contradiction? Fieldwork among oil company executives points to a new wave of techno-optimism: a deus ex machina that will descend from the labs of corporate research and development (R&D) labs to reconcile these irreconcilable imperatives. Rather than denial, the projection of win-win synergies between growth and sustainability involves a suspension of disbelief; an instrumental faith in the miraculous power of technology that tenders salvation without forsaking fossil fuels, or restructuring markets.


Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 545
Author(s):  
Alexis K. Mills ◽  
Peter Ruggiero ◽  
John P. Bolte ◽  
Katherine A. Serafin ◽  
Eva Lipiec

Coastal communities face heightened risk to coastal flooding and erosion hazards due to sea-level rise, changing storminess patterns, and evolving human development pressures. Incorporating uncertainty associated with both climate change and the range of possible adaptation measures is essential for projecting the evolving exposure to coastal flooding and erosion, as well as associated community vulnerability through time. A spatially explicit agent-based modeling platform, that provides a scenario-based framework for examining interactions between human and natural systems across a landscape, was used in Tillamook County, OR (USA) to explore strategies that may reduce exposure to coastal hazards within the context of climate change. Probabilistic simulations of extreme water levels were used to assess the impacts of variable projections of sea-level rise and storminess both as individual climate drivers and under a range of integrated climate change scenarios through the end of the century. Additionally, policy drivers, modeled both as individual management decisions and as policies integrated within adaptation scenarios, captured variability in possible human response to increased hazards risk. The relative contribution of variability and uncertainty from both climate change and policy decisions was quantified using three stakeholder relevant landscape performance metrics related to flooding, erosion, and recreational beach accessibility. In general, policy decisions introduced greater variability and uncertainty to the impacts of coastal hazards than climate change uncertainty. Quantifying uncertainty across a suite of coproduced performance metrics can help determine the relative impact of management decisions on the adaptive capacity of communities under future climate scenarios.


2017 ◽  
Vol 10 (1) ◽  
Author(s):  
Eileen A. Lacey ◽  
Talisin T. Hammond ◽  
Rachel E. Walsh ◽  
Kayce C. Bell ◽  
Scott V. Edwards ◽  
...  
Keyword(s):  

2017 ◽  
Vol 8 (2) ◽  
pp. 88-105 ◽  
Author(s):  
Gunasekaran Manogaran ◽  
Daphne Lopez

Ambient intelligence is an emerging platform that provides advances in sensors and sensor networks, pervasive computing, and artificial intelligence to capture the real time climate data. This result continuously generates several exabytes of unstructured sensor data and so it is often called big climate data. Nowadays, researchers are trying to use big climate data to monitor and predict the climate change and possible diseases. Traditional data processing techniques and tools are not capable of handling such huge amount of climate data. Hence, there is a need to develop advanced big data architecture for processing the real time climate data. The purpose of this paper is to propose a big data based surveillance system that analyzes spatial climate big data and performs continuous monitoring of correlation between climate change and Dengue. Proposed disease surveillance system has been implemented with the help of Apache Hadoop MapReduce and its supporting tools.


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