Abstract:The forest sector can play a significant role in climate change mitigation. We evaluated forest sector carbon trends and potential mitigation scenarios in Vermont using a systems‐based modeling framework that accounts for net emissions from all forest sector components. These components comprise (1) the forest ecosystem, including land‐use change, (2) harvested wood products (HWP), and (3) substitution effects associated with using renewable wood‐based products and fuels in place of more emission‐intensive mat… Show more
“…Importantly, fluxes due to disturbances (e.g., fire, harvest, land conversion) are also considered, as are changes in flux rates over time to variation in temperature (e.g., due to climate change), making the approach well suited for forecasting the consequences of future land management scenarios on forest carbon. Thanks to its general and transparent structure, all of CBM-CFS3 input parameters can be customized to reflect regional conditions; as a result it has been applied in many different countries [ 25 – 28 ], including studies within the U.S. [ 29 , 30 ]. A current limitation of the CBM-CFS3, however, is that it generates only spatially referenced (rather than spatially explicit) projections – i.e., the model currently tracks carbon by landscape strata, rather than by spatial cells, and thus no spatial interactions between strata are possible.…”
Background
Quantifying the carbon balance of forested ecosystems has been the subject of intense study involving the development of numerous methodological approaches. Forest inventories, processes-based biogeochemical models, and inversion methods have all been used to estimate the contribution of U.S. forests to the global terrestrial carbon sink. However, estimates have ranged widely, largely based on the approach used, and no single system is appropriate for operational carbon quantification and forecasting. We present estimates obtained using a new spatially explicit modeling framework utilizing a “gain–loss” approach, by linking the LUCAS model of land-use and land-cover change with the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3).
Results
We estimated forest ecosystems in the conterminous United States stored 52.0 Pg C across all pools. Between 2001 and 2020, carbon storage increased by 2.4 Pg C at an annualized rate of 126 Tg C year−1. Our results broadly agree with other studies using a variety of other methods to estimate the forest carbon sink. Climate variability and change was the primary driver of annual variability in the size of the net carbon sink, while land-use and land-cover change and disturbance were the primary drivers of the magnitude, reducing annual sink strength by 39%. Projections of carbon change under climate scenarios for the western U.S. find diverging estimates of carbon balance depending on the scenario. Under a moderate emissions scenario we estimated a 38% increase in the net sink of carbon, while under a high emissions scenario we estimated a reversal from a net sink to net source.
Conclusions
The new approach provides a fully coupled modeling framework capable of producing spatially explicit estimates of carbon stocks and fluxes under a range of historical and/or future socioeconomic, climate, and land management futures.
“…Importantly, fluxes due to disturbances (e.g., fire, harvest, land conversion) are also considered, as are changes in flux rates over time to variation in temperature (e.g., due to climate change), making the approach well suited for forecasting the consequences of future land management scenarios on forest carbon. Thanks to its general and transparent structure, all of CBM-CFS3 input parameters can be customized to reflect regional conditions; as a result it has been applied in many different countries [ 25 – 28 ], including studies within the U.S. [ 29 , 30 ]. A current limitation of the CBM-CFS3, however, is that it generates only spatially referenced (rather than spatially explicit) projections – i.e., the model currently tracks carbon by landscape strata, rather than by spatial cells, and thus no spatial interactions between strata are possible.…”
Background
Quantifying the carbon balance of forested ecosystems has been the subject of intense study involving the development of numerous methodological approaches. Forest inventories, processes-based biogeochemical models, and inversion methods have all been used to estimate the contribution of U.S. forests to the global terrestrial carbon sink. However, estimates have ranged widely, largely based on the approach used, and no single system is appropriate for operational carbon quantification and forecasting. We present estimates obtained using a new spatially explicit modeling framework utilizing a “gain–loss” approach, by linking the LUCAS model of land-use and land-cover change with the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3).
Results
We estimated forest ecosystems in the conterminous United States stored 52.0 Pg C across all pools. Between 2001 and 2020, carbon storage increased by 2.4 Pg C at an annualized rate of 126 Tg C year−1. Our results broadly agree with other studies using a variety of other methods to estimate the forest carbon sink. Climate variability and change was the primary driver of annual variability in the size of the net carbon sink, while land-use and land-cover change and disturbance were the primary drivers of the magnitude, reducing annual sink strength by 39%. Projections of carbon change under climate scenarios for the western U.S. find diverging estimates of carbon balance depending on the scenario. Under a moderate emissions scenario we estimated a 38% increase in the net sink of carbon, while under a high emissions scenario we estimated a reversal from a net sink to net source.
Conclusions
The new approach provides a fully coupled modeling framework capable of producing spatially explicit estimates of carbon stocks and fluxes under a range of historical and/or future socioeconomic, climate, and land management futures.
“…In this regard, Krott (2005) argues that forests provide diverse benefits spanning the entire political and social life. That means various interests and power politics are fairly noticeable concerning all‐embracing the forestry sector's ecological, economic and social benefits (Dugan et al, 2021; Wong et al, 2019; Rahman et al, 2018). More importantly, sustainable forestry practices can set the limits and directions supporting the sustainability of the environment and addressing issues linked to climate change.…”
Environmental sustainability lies at the centre of the sustainable development goals (SDGs). Many developing economies, including Bangladesh, undertook massive institutional and policy reformulation initiatives to accomplish the respective environmental targets of the SDGs. However, effective policy implementation and obtaining the desired impact on people and the planet remain challenging. Against this backdrop, using the typical case of Bangladesh, the study hypothesises whether environmental (including forest and climate change) policy changes beget optimal policy outcomes and bring innovative policy ideas. Or they deliver sub‐optimal policy outcomes and prioritise traditional policy substances in achieving the SDGs. The study uses a policy typology and does content analysis for a large number of policy changes (n = 82). It applies the analytical framework of policy planning and a coherent–consistent policy approach. The result shows a tremendous shortfall in policy planning and a lack of technical policy capacities to implement innovative policy substances, for example, sustainable and scientific resources management, pollution control, science‐based study and data generation, and so forth. Also, incoherent goal settings (e.g., biodiversity conservation versus infrastructure development) and inadequate policy solutions for long‐standing problems (e.g., land tenure conflict) can obstruct achieving transformative changes. The sustainable development targets demand an all‐inclusive sectoral approach and technical‐legal policy solutions to achieve environmental sustainability.
“…This study builds on previous work to understand how forest management and the forest product sector can contribute to achieving climate goals at the landscape scale within a participatory systemsbased framework (Smyth et al, 2014;Pilli et al, 2016;Olguin et al, 2018;Dugan et al, 2018aDugan et al, , 2021. The specific objectives of this study are to identify climate-smart forestry practices for Maryland and Pennsylvania by applying forest ecosystem and HWP models to analyze and quantify forest carbon tradeoffs and mitigation potential among a variety of alternative management, climate, and bioenergy scenarios against a projected "business-as-usual" (BAU) simulation.…”
State and local governments are increasingly interested in understanding the role forests and harvested wood products play in regional carbon sinks and storage, their potential contributions to state-level greenhouse gas (GHG) reductions, and the interactions between GHG reduction goals and potential economic opportunities. We used empirically driven process-based forest carbon dynamics and harvested wood product models in a systems-based approach to project the carbon impacts of various forest management and wood utilization activities in Maryland and Pennsylvania from 2007 to 2100. To quantify state-wide forest carbon dynamics, we integrated forest inventory data, harvest and management activity data, and remotely-sensed metrics of land-use change and natural forest disturbances within a participatory modeling approach. We accounted for net GHG emissions across (1) forest ecosystems (2) harvested wood products, (3) substitution benefits from wood product utilization, and (4) leakage associated with reduced in-state harvesting activities. Based on state agency partner input, a total of 15 management scenarios were modeled for Maryland and 13 for Pennsylvania, along with two climate change impact scenarios and two bioenergy scenarios for each state. Our findings show that both strategic forest management and wood utilization can provide substantial climate change mitigation potential relative to business-as-usual practices, increasing the forest C sink by 29% in Maryland and 38% in Pennsylvania by 2030 without disrupting timber supplies. Key climate-smart forest management activities include maintaining and increasing forest extent, fostering forest resiliency and natural regeneration, encouraging sustainable harvest practices, balancing timber supply and wood utilization with tree growth, and preparing for future climate impacts. This study adds to a growing body of work that quantifies the relationships between forest growth, forest disturbance, and harvested wood product utilization, along with their collective influence on carbon stocks and fluxes, to identify pathways to enhance forest carbon sinks in support of state-level net-zero emission targets.
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