森林砍伐(计算机科学)
生物多样性
温室气体
森林生态学
生态林业
农林复合经营
森林经营
生态系统服务
业务
固碳
环境科学
生态系统
自然资源经济学
环境资源管理
环境保护
森林恢复
生态学
二氧化碳
生物
计算机科学
经济
程序设计语言
作者
Christian Kofi Anthonio,Egya Ndede Yankey,Frederick Leo Sossah,Daniel Ansah Fianko,Kwasi Asante
标识
DOI:10.5772/intechopen.1009274
摘要
Forest ecosystems worldwide have been dominated, shaped and influenced by anthropogenic activities for the past centuries. Deforestation has far-reaching consequences for soil quality, biodiversity and water resources. This activity not only undermines ecological integrity but also poses threats to sustainable agriculture, water supply, and biodiversity conservation. Addressing these challenges requires concerted efforts to protect remaining forest areas, restore degraded lands, and implement sustainable land management practices that balance environmental and developmental needs. Local governance of forest ecosystems has, in many cases, been very instrumental and effective at producing improved environmental, economic and social outcomes. This approach must be encouraged for the remaining forest ecosystems to be protected. Another approach to forest resource management utilizes silviculture to alter the composition, structure, and/or growth of the forest by integrating it with other tree species. Meanwhile, there is the need to act in response to the negative impacts of emissions through greenhouse gases (GHGs), particularly carbon dioxide (CO2). Following this, sustainable ways to sequester CO2 from the atmosphere must be explored to mitigate this menace. However, agroecosystems that involve coconut (Cocos nucifera L.) plantations have been identified as one of the means that could significantly sequester CO2 from the atmosphere. This strategy will potentially reduce concentrations of atmospheric CO2. Coconut plantations exhibit similar characteristics and functions as in tropical forests but could potentially sequester carbon better. However, this strategy could only materialize if deliberate steps that promote local self-governance of Ghana’s forest resources are considered.
科研通智能强力驱动
Strongly Powered by AbleSci AI