Optimal Survey Design for Forest Carbon Monitoring in Remote Regions Using Multi-Objective Mathematical Programming

Cost-effective monitoring of forest carbon resources is critical to the development of national policies and enforcement of international agreements aimed at reducing carbon emissions and mitigating the impacts of climate change. While carbon monitoring systems are often based on national forest inv...

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Vydáno v:	Forests Ročník 13; číslo 7; s. 972
Hlavní autoři:	Tóth, Sándor F., Oken, Kiva L., Stawitz, Christine C., Andersen, Hans-Erik
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.07.2022
Témata:	Airborne sensing Alaska Biomass Boreal forests Budgets Carbon Carbon cycle Carbon sequestration Case studies Climate change cost effectiveness Costs Ecosystems Emissions Environmental aspects Errors Forest carbon Forest ecosystems Forest resources Forests infrastructure International agreements Lidar Linear programming Mathematical analysis Mathematical models Mathematical optimization Mathematical programming Measurement Methods Monitoring systems Multiple criteria decision making Multiple objective analysis national forests Nuclear factor I Optimization techniques Permafrost Plot (Narrative) Pools Regression analysis Regression models Remote monitoring Remote regions Remote sensing soil soil carbon Soils Terrestrial ecosystems transportation trees United States United States > US Alaska
ISSN:	1999-4907, 1999-4907
On-line přístup:	Získat plný text
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