Response of Larix chinensis forest ecosystem to climate change based on Biome-BGC model and tree rings

2018 ◽  
Vol 38 (20) ◽  
Author(s):  
李书恒 LI Shuheng ◽  
侯丽 HOU Li ◽  
史阿荣 SHI Arong ◽  
陈兰 CHEN Lan ◽  
朱显亮 ZHU Xianliang ◽  
...  
2012 ◽  
Vol 163 (12) ◽  
pp. 481-492
Author(s):  
Andreas Rigling ◽  
Ché Elkin ◽  
Matthias Dobbertin ◽  
Britta Eilmann ◽  
Arnaud Giuggiola ◽  
...  

Forest and climate change in the inner-Alpine dry region of Visp Over the past decades, observed increases in temperature have been particularly pronounced in mountain regions. If this trend should continue in the 21st Century, frequency and intensity of droughts will increase, and will pose major challenges for forest management. Under current conditions drought-related tree mortality is already an important factor of forest ecosystems in dry inner-Alpine valleys. Here we assess the sensitivity of forest ecosystems to climate change and evaluate alternative forest management strategies in the Visp region. We integrate data from forest monitoring plots, field experiments and dynamic forests models to evaluate how the forest ecosystem services timber production, protection against natural hazards, carbon storage and biodiver-sity will be impacted. Our results suggest that at dry low elevation sites the drought tolerance of native tree species will be exceeded so that in the longer term a transition to more drought-adapted species should be considered. At medium elevations, drought and insect disturbances as by bark beetles are projected to be important for forest development, while at high elevations forests are projected to expand and grow better. All of the ecosystem services that we considered are projected to be impacted by changing forest conditions, with the specific impacts often being elevation-dependent. In the medium term, forest management that aims to increase the resilience of forests to drought can help maintain forest ecosystem services temporarily. However, our results suggest that relatively rigid management interventions are required to achieve significant effects. By using a combination of environmental monitoring, field experiments and modeling, we are able to gain insight into how forest ecosystem, and the services they provide, will respond to future changes.


Author(s):  
Wabusya Moses Wetiba ◽  
Mugatsia Tsingalia ◽  
Njira Njira Pili ◽  
Vincent Kakembo

Aims: This study assessed the level of climate change awareness among the forest-adjacent communities in the Kakamega-Nandi forest ecosystem complex. Four locations were chosen for the study, Buyangu and Isecheno in the Kakamega forest, Kaptumo in Nandi South and Kipsamoite in Nandi North forest ecosystems. Study Design: A cross-sectional survey design was used to collect data from primary sources. Structured questionnaires were administered to the residents aged 25years and older within the study area. Place and Duration of Study: The Kakamega, north and south Nandi forest ecosystems in western Kenya between June -December 2019. Methodology: A total of 280 questionnaires were randomly administered to the forest-adjacent respondents with, Kakamega forest 163 respondents, South Nandi forest 60, while North Nandi had 57respondents. A total of 217 questionnaires were filled and returned and the information wherein used in data analysis. Focused Group Discussion and key informants were used to supplement data collects by the questionnaires. Results: Majority of the residents (54%) were less concerned about climate change. In addition, 85% of the respondents had very little knowledge on coping and adapting to the adverse impacts of climate change. Some 40 % and 45% of the respondents got information about climate through televisions and radios, respectively. Further analysis of the results revealed that climate change was responsible for fourteen key impacts. These included an increase in rainfall, prolonged drought, decrease in the quality and quantity of fresh water, decrease in food security, an increase in temperature, a decrease in agricultural resources, an increase in sickness and disease, a decrease in quality of life, flooding, decrease in forest cover, loss of homes, reduction in biodiversity, and rise in storm surge. A Chi test revealed a significant relationship between forest cover decline and changes in rainfall patterns (X2 = 111.86, df =12, p<0.001), increasing temperature (X2 = 80.492, df =12, p<0.001);, drought( (X2 = 204.84, df =16, p<0.001) and storm surges (X2 = 74.34, df =8, p<0.001)]. The respondents' level of education was significantly different from their level of climate change awareness (X2=44.88, df=4, p<0.001). Conclusion: Forest-adjacent communities in the Kakamega-Nandi forest ecosystem complex are vulnerable to climate change as a result of insufficient knowledge about climate change and its impacts. The Kakamega-Nandi forest ecosystem is already experiencing climate change effects such as erratic rainfall and increasing food insecurity.


Author(s):  
Kuniaki Otsuka ◽  
Germaine Cornelissen ◽  
Franz Halberg
Keyword(s):  

2018 ◽  
Vol 28 (7) ◽  
pp. 1884-1896 ◽  
Author(s):  
Katharina Albrich ◽  
Werner Rammer ◽  
Dominik Thom ◽  
Rupert Seidl

2018 ◽  
Vol 64 (No. 3) ◽  
pp. 139-147 ◽  
Author(s):  
Khaleghi Mohammad Reza

The present study tends to describe the survey of climatic changes in the case of the Bojnourd region of North Khorasan, Iran. Climate change due to a fragile ecosystem in semi-arid and arid regions such as Iran is one of the most challenging climatological and hydrological problems. Dendrochronology, which uses tree rings to their exact year of formation to analyse temporal and spatial patterns of processes in the physical and cultural sciences, can be used to evaluate the effects of climate change. In this study, the effects of climate change were simulated using dendrochronology (tree rings) and an artificial neural network (ANN) for the period from 1800 to 2015. The present study was executed using the Quercus castaneifolia C.A. Meyer. Tree-ring width, temperature, and precipitation were the input parameters for the study, and climate change parameters were the outputs. After the training process, the model was verified. The verified network and tree rings were used to simulate climatic parameter changes during the past times. The results showed that the integration of dendroclimatology and an ANN renders a high degree of accuracy and efficiency in the simulation of climate change. The results showed that in the last two centuries, the climate of the study area changed from semiarid to arid, and its annual precipitation decreased significantly.


2011 ◽  
Vol 16 (Special_Issue) ◽  
pp. 149-161
Author(s):  
Sungho Choi ◽  
Woo-Kyun Lee ◽  
Hanbin Kwak ◽  
So-Ra Kim ◽  
Seongjin Yoo ◽  
...  

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