Carbon dynamics in woody biomass of forest ecosystem in China with forest management practices under future climate change and rising CO2 concentration

2013 ◽  
Vol 23 (5) ◽  
pp. 519-536 ◽  
Author(s):  
Lei Zhou ◽  
Shaoqiang Wang ◽  
Georg Kindermann ◽  
Guirui Yu ◽  
Mei Huang ◽  
...  
2014 ◽  
Vol 5 (4) ◽  
pp. 625-632 ◽  
Author(s):  
Rishiraj Dutta

The analysis of this study focused on the tea growing areas of Northeast India to provide predictions for future climate scenarios and its impact on tea production by 2050. The applied methodology involves a combination of current climate data with future climate change predictions from different models for 2050 as derived by WorldClim and IPCC4 (CIAT recommended). The results showed the possibility of an increase in average temperature by 2 °C in 2050, while not much variation is observed in the rainfall pattern. A change in tea production period is also expected by 2050 making tea planters look for alternative crops as an adaptive measure to keep the industry on its feet. With such expected impacts on tea production, the planters would need to make changes in their management practices to adapt to the evolving conditions and environment. In this study, the climate data were used as input to DIVA GIS Model. Monthly climate data were fed into Cranfield University Plantation Productivity Analysis for Tea Model (CUPPA Tea Model) to simulate observed and predicted yields. The study further shows that the overall climate will become less seasonal in terms of variation through the years followed by expected variations in monthly precipitation during the peak production months.


Forests ◽  
2018 ◽  
Vol 9 (10) ◽  
pp. 626 ◽  
Author(s):  
Robert Scheller ◽  
Rajan Parajuli

Understanding perceptions and attitudes of forest managers toward climate change and climate adaptive forest management is crucial, as they are expected to implement changes to forest resource management. We assessed the perceptions of forest managers toward climate adaptive forest management practices through a survey of forest managers working in private firms and public agencies in New England and the Klamath ecoregion (northern California and southwestern Oregon). We analyzed the motivations, actions, and potential barriers to action of forest managers toward climate adaptive forest management practices. Results suggest that managing for natural regeneration is the most common climate adaptive forest management approach considered by forest managers in both regions. Lack of information about the best strategies for reducing climate change risks, lack of education and awareness among the clients, and perceived client costs were forest managers’ primary barriers to climate adaptive management. Our findings suggest useful insights toward the policy and program design in climate adaptive forest management for both areas.


2021 ◽  
Author(s):  
Camilla Andersson ◽  

<p>Biodiversity includes any type of living variation, from the ecosystem level to genetic variation within organisms. The greatest threats to biodiversity is climate change, destruction of habitats and other human activities. High-altitude mountain regions are pristine environments, with historically small impacts from air pollution, but at risk of being disproportionately impacted by climate change. We focus on three mountainous regions: the Scandinavian Mountains, the Guadarrama Mountains in Spain, and the Pyrenees in France, Andorra and Spain. We study the impact of drivers of change of biodiversity such as future climate change, increased incidences of wild fires, emissions from new shipping routes in the Arctic as ice sheets are melting, human impacts on land use and management practices (such as reindeer grazing) and air pollution.</p><p>We simulate future climate change using WRF and a convective permitting climate model, HARMONIE-Climate, with a spatial resolution of 3km. The high resolution strongly improves the representation of precipitation compared to coarser scale simulations (Lind et al., 2020). We use these simulations to develop future scenarios of air pollution load, using two well established chemistry transport models (MATCH and CHIMERE; Marécal et al., 2015). These climate and air pollution scenarios are subsequently used, together with management scenarios, to develop scenarios for biodiversity and ecosystem services. These scenarios are developed applying a process-based dynamic vegetation and biogeochemistry model, LPJ-GUESS (Smith et al., 2014). </p><p>The scenarios, representing mid-21<sup>st</sup> century, will be made available through a web-based planning tool, where local stakeholders in each region can explore the project results to understand how scenarios of climate change, air pollution and policy development will affect these ecosystems. Local stakeholders are involved throughout the project, such as reindeer herder communities, regional county boards and national authorities, and in a time of changing climate and a global pandemic we have learned the necessity for flexibility in such interactions.</p><p> </p><p>References</p><p>Lind et al. 2020., Climate Dynamics 55, 1893-1912.</p><p>Marécal et al., 2015. Geosci. Mod. Dev. 8, 2777-2813.</p><p>Smith et al. 2014 Biogeosciences 11, 2027-2054.</p>


Forests ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 1150
Author(s):  
Siqi Liang ◽  
Shouzhang Peng ◽  
Yunming Chen

As global climate change has a large effect on the carbon cycle of forests, it is very important to understand how forests in climate transition regions respond to climate change. Specifically, the LPJ-GUESS (Lund-Potsdam-Jena General Ecosystem Simulator) model was used to simulate net ecosystem productivity (NEP) and soil heterotrophic respiration (Rh) dynamics of two forest ecosystems of different origins between 1951 and 2100, to quantitatively analyze the carbon source and sink functions and potential changes in soil carbon dynamics in arid and humid regions under future climate change, simulate the dynamics of forest net primary productivity (NPP) under different climatic factors, and analyze the sensitivity of forests in arid and humid regions to temperature, precipitation, and carbon dioxide (CO2) concentration. We found that: (1) in both the historical and future periods, the average NEP of both studied forests in the humid region was larger than that in the arid region, the carbon sink function of the humid region being predicted to become stronger and the arid zone possibly becoming a carbon source; (2) between 1951 and 2100, the forest soil Rh in the arid region was lower than that in the humid region and under future climate change, forest in the humid region may have higher soil carbon loss; (3) increasing temperature had a negative effect and CO2 concentration had a positive effect on the forests in the study area, and forests in arid areas are more sensitive to precipitation change. We believe our research could be applied to help policy makers in planning sustainable forest management under future climate change.


Zootaxa ◽  
2017 ◽  
Vol 4237 (1) ◽  
pp. 91 ◽  
Author(s):  
IGNACIO MINOLI ◽  
LUCIANO JAVIER AVILA

The consequences of global climate change can already be seen in many physical and biological systems and these effects could change the distribution of suitable areas for a wide variety of organisms to the middle of this century. We analyzed the current habitat use and we projected the suitable area of present conditions into the geographical space of future scenarios (2050), to assess and quantify whether future climate change would affect the distribution and size of suitable environments in two Pristidactylus lizard species. Comparing the habitat use and future forecasts of the two studied species, P. achalensis showed a more restricted use of available resource units (RUs) and a moderate reduction of the potential future area. On the contrary, P. nigroiugulus uses more available RUs and has a considerable area decrease for both future scenarios. These results suggest that both species have a moderately different trend towards reducing available area of suitable habitats, the persistent localities for both 2050 CO2 concentration models, and in the available RUs used. We discussed the relation between size and use of the current habitat, changes in future projections along with the protected areas from present-future and the usefulness of these results in conservation plans. This work illustrates how ectothermic organisms might have to face major changes in their availability suitable areas as a consequence of the effect of future climate change.  


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