Beyond the black box: Forest sector vulnerability assessments and adaptation to climate change in North America

2014 ◽  
Vol 35 ◽  
pp. 109-116 ◽  
Author(s):  
Adam Wellstead ◽  
Jeremy Rayner ◽  
Michael Howlett
2010 ◽  
Vol 161 (6) ◽  
pp. 216-222
Author(s):  
Oliver Gailing

Climate change is projected to lead to a major reorganization of our forests. For example, higher annual mean temperatures, longer growth seasons and drier summers are predicted for many parts of central and southern Europe, and in North America. In order to understand the genetic adaptation to climate change we need a better understanding of the genetic regulation of key traits involved in tolerance of water and temperature stress. Oaks (Quercus spp.) are excellent model species to study the adaptation of forest trees to changing environments. They show a wide geographic distribution in Europe and in North America as dominant tree species in many forests growing under a wide range of climatic and edaphic conditions. With the availability of a growing amount of functional and expressional candidate genes we are now able to test the functional importance of genes by associating nucleotide variation in these genes with phenotypic variation in adaptive traits in segregating or natural populations. Studies trying to associate genetic variation with phenotypic variation in adaptive traits can be performed in full-sib families derived from controlled crosses (Quantitative Trait Loci [QTL] mapping) or in natural populations (association mapping). For several important adaptive traits QTL were mapped, the underlying genes have to be tested in natural populations. A future objective is to test whether genes that underlie phenotypic variation in adaptive traits are involved in local genetic adaptation and viability selection at the seedling stage, linked to reciprocal transplant experiments in order to assess the performance over climatic gradients.


2014 ◽  
Vol 44 (9) ◽  
pp. 995-1004 ◽  
Author(s):  
Maureen G. Reed ◽  
Alyssa Scott ◽  
David Natcher ◽  
Mark Johnston

Analyses of climate change and the forest sector have identified the importance of individual actors, institutions, and organizations within communities for effective adaption and climate mitigation. Yet, there remains little recognition of how the internal dynamics of these institutions and organizations are influenced by gender and other social considerations such as age and culture. Research from developing countries and cognate resource sectors suggests that these considerations are critical for enhancing local adaptive capacity. Despite extensive review of forestry research across North America and western Europe, we found almost no research that addresses how differential social capabilities within forest-based communities affect adaptation to climate change. In this paper, we document the potential that gender sensitivity might provide to conceptions and practical applications of adaptive capacity and identify four types of research opportunities to address this gap: (i) developing disaggregated capitals frameworks; (ii) creating inclusive models; (iii) informing social planning; and (iv) understanding gender mainstreaming. Research focused on these opportunities, among others, will provide more robust theoretical understanding of adaptive capacity and strategic interventions necessary for effective adaptation.


2021 ◽  
Vol 10 (4) ◽  
pp. 243-256
Author(s):  
Artem Konstantinov ◽  
Tat'yana Koroleva ◽  
Ivan Torzhkov ◽  
Elizaveta Kushnir

The Russian Federation, being a party to the Paris Agreement, implements its national policy and appropriately takes measures to plan and implement actions in the field of adaptation to climate change, including programs and activities, the implementation of which helps to reduce emissions or increase the absorption of greenhouse gases. Currently existing forms of planning, implementation and monitoring of the results of forestry sector adaptation to climate changes require functioning of continuous monitoring of the results obtained in order to timely adjust measures and understand the current status of achieving target indicators. The purpose of this study is to develop proposals for the organization and implementation of a monitoring system to assess the effectiveness of the implemented measures for adapting the forest sector of the Russian economy to climate change (taking into account the existing international experience). As a result of the analysis of existing approaches aimed at monitoring the achieved level of progress in relation to the process related to adaptation plans and the effectiveness of their implementation, taking into account foreign experience in the implementation of the monitoring and evaluation system, the following conclusions can be drawn: monitoring and evaluation system should be built on the basis of performance goals, which can be defined as an assessment of the achievement of adaptation targets, support for managerial decision-making in conditions of uncertainty, or obtaining information and understanding of adaptation processes


Mousaion ◽  
2016 ◽  
Vol 33 (3) ◽  
pp. 1-24
Author(s):  
Emmanuel Elia ◽  
Stephen Mutula ◽  
Christine Stilwell

This study was part of broader PhD research which investigated how access to, and use of, information enhances adaptation to climate change and variability in the agricultural sector in semi-arid Central Tanzania. The research was carried out in two villages using Rogers’ Diffusion of Innovations theory and model to assess the dissemination of this information and its use by farmers in their adaptation of their farming practices to climate change and variability. This predominantly qualitative study employed a post-positivist paradigm. Some elements of a quantitative approach were also deployed in the data collection and analysis. The principal data collection methods were interviews and focus group discussions. The study population comprised farmers, agricultural extension officers and the Climate Change Adaptation in Africa project manager. Qualitative data were subjected to content analysis whereas quantitative data were analysed to generate mostly descriptive statistics using SPSS.  Key findings of the study show that farmers perceive a problem in the dissemination and use of climate information for agricultural development. They found access to agricultural inputs to be expensive, unreliable and untimely. To mitigate the adverse effects of climate change and variability on farming effectively, the study recommends the repackaging of current and accurate information on climate change and variability, farmer education and training, and collaboration between researchers, meteorology experts, and extension officers and farmers. Moreover, a clear policy framework for disseminating information related to climate change and variability is required.


Sign in / Sign up

Export Citation Format

Share Document