Climate Change Effects, Adaptation, and Mitigation Techniques in Tropical Dry Forests

2022 ◽  
pp. 309-331
Author(s):  
G. N. Tanjina Hasnat

Tropical dry forests is one of the most unique forest types. It differs from other tropical forests with its climatic behavior like a prominent dry period, little annual rainfall, and high evapotranspiration. Out of six global bioclimatic zones, the forests are distributed in four. Climate change is now the most challenging issue regarding the fate of tropical dry forests. A severe climatic change is estimated to occur between 2040 and 2069 that could drastically change the precipitation pattern, temperature, aridity, and distribution of biodiversity. It could alter the forest type permanently. With a large number of heat-tolerant species, tropical dry forests have a great potentiality to conservationists with the prediction of a large area that could attain the climatic condition favorable for extension of tropical dry forests. But many of the species of tropical dry forests could be extinct due to changing climate at the same time. Proper adaptation and mitigation techniques could minimize the severity of climate change effects.

Author(s):  
G. N. Tanjina Hasnat

Tropical dry forests is one of the most unique forest types. It differs from other tropical forests with its climatic behavior like a prominent dry period, little annual rainfall, and high evapotranspiration. Out of six global bioclimatic zones, the forests are distributed in four. Climate change is now the most challenging issue regarding the fate of tropical dry forests. A severe climatic change is estimated to occur between 2040 and 2069 that could drastically change the precipitation pattern, temperature, aridity, and distribution of biodiversity. It could alter the forest type permanently. With a large number of heat-tolerant species, tropical dry forests have a great potentiality to conservationists with the prediction of a large area that could attain the climatic condition favorable for extension of tropical dry forests. But many of the species of tropical dry forests could be extinct due to changing climate at the same time. Proper adaptation and mitigation techniques could minimize the severity of climate change effects.


Author(s):  
G. N. Tanjina Hasnat ◽  
Mohammed Kamal Hossain

Forests cover almost one-third of the Earth's land surface. Tropical dry forests are the second-most-important forest type in the world covering approximately 42% of tropical and sub-tropical forest area. The main features of these forests are their deciduousness, a prolonged dry period extending 3-9 months, and little annual precipitation of 250-2,000 mm. Tropical dry forests are found in five of the eight realms in the world. More than half of the forests are distributed in the Americas, with other portions in Africa, Eurasia, Australia, and Southeast Asia. The forests are unique in nature, and provide shelter to a huge number of endemics and endangered species. Among woody plant species, about 40% are not found anywhere in the world. These forests are now the most threatened among all forest types. The conservation status of these forests is endangered. Deforestation, rapid civilization, land conversion, fire, and climate change are the major threats. Proper management with time-oriented policy could be helpful to restore these forests and protect the existing remnant areas.


2015 ◽  
Vol 22 (1) ◽  
pp. 364-379 ◽  
Author(s):  
David A. Prieto-Torres ◽  
Adolfo G. Navarro-Sigüenza ◽  
Diego Santiago-Alarcon ◽  
Octavio R. Rojas-Soto

2019 ◽  
Vol 42 (337) ◽  
pp. 9-25 ◽  
Author(s):  
Dereje Tesema Regasa ◽  
Nega Abera Akirso

Abstract Climate change is an inevitable global challenge of the 21st century. For developing countries like Ethiopia, it intensifies existing challenges towards ensuring sustainable development. Adopting the protection motivation theory, this study examined factors affecting the practice of climate change adaptation and mitigation strategies among farmers. The study employed a mixed research approach to assess the subjective understanding of farmers about climate change threats and identify factors determining their responses to climate change effects. Qualitative data were collected using focus group discussions and interviews. Quantitative information was gathered using semi-structured survey from 296 randomly selected farmers. Qualitative data was dominantly analyzed using content analysis, while descriptive and inferential statistics were applied to analyze quantitative data. Almost all respondents (97%) perceived that climate change was occurring and threatening their wellbeing. Dwindling precipitation, increasing temperature and occurrence of human and animal disease were perceived to represent climate change effects. From nationally initiated strategies, farmers were found to largely practice soil and water conservation, which they perceived as less costly and compatible to local knowledge. The result of binary logistic regression revealed that perceived severity of climate change, perceived susceptibility to climate change threat, perceived own ability to respond, response efficacy, and cost of practices predicted farmers’ motivation to practice climate change adaptation and mitigation strategies. Thus, building a resilient system should go beyond sensitizing climate response mechanisms. Policies should focus on human capital development and economic empowerment which would enable farmers to pursue context-specific adaptation and mitigation strategies, thereby maintaining a sustainable livelihood.


Author(s):  
Pooja Gokhale Sinha

Around 1.6 billion people in the world are directly dependent on forests for food, fodder, fuel, shelter, and livelihood, out of which 60 million are entirely dependent on forests. Forests silently provide us with ecosystem services such as climate regulation, carbon sequestration, harbouring biodiversity, synchronizing nutrient cycling, and many more. Tropical Dry Forests (TDF's) occupy around 42% of total forest area of the tropics and subtropics and facilitate sustenance of world's marginalized populations. Change in vegetation composition and distribution, deflected succession, carbon sequestration potential, nutrient cycling and symbiotic associations would affect TDF at ecosystem level. At species level, climate change will impact photosynthesis, phenology, physiognomy, seed germination, and temperature-sensitive physiological processes. In order to mitigate the effects of climate change, specific mitigation and adaptation strategies are required for TDF that need to be designed with concerted efforts from scientists, policy makers and local stakeholders.


2022 ◽  
pp. 1132-1149
Author(s):  
Pooja Gokhale Sinha

Around 1.6 billion people in the world are directly dependent on forests for food, fodder, fuel, shelter, and livelihood, out of which 60 million are entirely dependent on forests. Forests silently provide us with ecosystem services such as climate regulation, carbon sequestration, harbouring biodiversity, synchronizing nutrient cycling, and many more. Tropical Dry Forests (TDF's) occupy around 42% of total forest area of the tropics and subtropics and facilitate sustenance of world's marginalized populations. Change in vegetation composition and distribution, deflected succession, carbon sequestration potential, nutrient cycling and symbiotic associations would affect TDF at ecosystem level. At species level, climate change will impact photosynthesis, phenology, physiognomy, seed germination, and temperature-sensitive physiological processes. In order to mitigate the effects of climate change, specific mitigation and adaptation strategies are required for TDF that need to be designed with concerted efforts from scientists, policy makers and local stakeholders.


Ibis ◽  
2012 ◽  
Vol 154 (3) ◽  
pp. 632-634 ◽  
Author(s):  
JUDITH D. TOMS ◽  
JOHN FAABORG ◽  
WAYNE J. ARENDT

Author(s):  
Camila Billerbeck ◽  
Ligia Monteiro da Silva ◽  
Silvana Susko Marcellini ◽  
Arisvaldo Méllo Junior

Abstract Regional climate models (RCM) are the main tools for climate change impacts assessment in hydrological studies. These models, however, often show biases when compared to historical observations. Bias Correction (BC) are useful techniques to improve climate projection outputs. This study presents a multi-criteria decision analysis (MCDA) framework to compare combinations of RCM with selected BC methods. The comparison was based on the modified Kling-Gupta efficiency (KGE’). The criteria evaluated the general capability of models in reproducing the observed data main statistics. Other criteria evaluated were the relevant aspects for hydrological studies, such as seasonality, dry and wet periods. We applied four BC methods in four RCM monthly rainfall outputs from 1961 to 2005 in the Piracicaba river basin. The Linear Scaling (LS) method showed higher improvements in the general performance of the models. The RCM Eta-HadGEM2-ES, corrected with Standardized Reconstruction (SdRc) method, achieved the best results when compared to the observed precipitation. The bias corrected projected monthly precipitation (2006-2098) preserved the main signal of climate change effects when compared to the original outputs regarding annual rainfall. However, SdRc produced significant decrease in monthly average rainfall, higher than 45% for July, August and September for RCP4.5 and RCP8.5 scenarios.


2016 ◽  
Vol 8 (8) ◽  
pp. 657 ◽  
Author(s):  
Kenneth Grogan ◽  
Dirk Pflugmacher ◽  
Patrick Hostert ◽  
Jan Verbesselt ◽  
Rasmus Fensholt

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