This paper sets out why land expropriation is a hidden danger of the response to climate change; a danger that is not adequately captured in legislation and that risks disproportionately affecting the poor. Measures to mitigate the risks and impacts of climate change are often dependent on states’ access to land.
One of the main components of Indonesia's Just Economy policy is extensive and rapid land reform, which targets about 12% of the country's land area for redistribution to farmers and communities by 2019. Much of the reform is occurring on forest land. At the same time, the country has pledged a significant reduction of its greenhouse gas emissions by 2030, two thirds of which is to be achieved from forests. Hence agrarian reform potentially conflicts with emission reduction commitments.
Climate change is shaped and understood through assumptions of causality and temporality that enable and constrain feasible approaches to environmental governance, approaches that may reproduce inequalities. Reducing Emissions from Deforestation and Forest Degradation (REDD+) provides an entry point to examine the intersecting assumptions and politics around climate change and how it is managed. Actors in the REDD+ regime promote particular assumptions about the causality and temporality of climate change, which are often privileged over local ways of being and knowing.
Estimating the potential land resources suitable for irrigation and evaluating the possible impact of climate change on land suitability is essential for planning a sustainable agricultural system. This study applied a GIS-based Multi-Criteria Evaluation (MCE) technique to evaluate the suitability of land for irrigation in Ghana for a baseline period (1990 to 2010) and future time horizons 2050s (2041 to 2060) and 2070s (2061 to 2080).
The impact of agricultural practices on CO2 emissions from soils needs to be understood and quantified to enhance ecosystem functions, especially the ability of soils to sequester atmospheric carbon (C), while enhancing food and biomass production. The objective of this study was to assess CO2 emissions in the soil surface following tillage abandonment and to investigate some of the underlying soil physical, chemical and biological controls.
Adapting to climate risks is central to the goal of increasing food security and enhancing resilience of farming systems in East Africa. We examined farmers’ attitudes and assessed determinants of adaptation using data from a random sample of 500 households in Borana, Ethiopia, Nyando, Kenya, Hoima Uganda, and Lushoto, Tanzania. Adaptation was measured using a livelihood-based index that assigned weights to different individual strategies based on their marginal contributions to a household’s livelihood.
Climate change and energy saving are challenging the city and the territorial organization. Innovative spatial and urban planning methods and procedures are required, and new approaches and instruments must be elaborated and applied in order to shift from the building scale to the urban and territorial ones.
In the last decades, several studies have reported the increase of land degradation and desertification in the Mediterranean Basin. Depending on degradation severity, ecological restoration might be needed in order to promote ecosystem recovery. The ecology of the selected species and intra specific variability should be considered in order to improve restoration options, especially facing climate change. The present study tested the hypothesis that seedlings from drier provenances would be better adapted to low water content conditions.
The present study demonstrates remote sensing derived phenological and productivity indicators of ecosystem functional dynamism. The indices were derived from SPOT VEGETATION NDVI data on 1km spatial resolution across the pan-European continent using the Phenolo approach. The phenological and productivity indices explained 78% of the variance in the European ecosystem gradient measured by bio-climatic zones. Along this gradient climatic predictors could only explain 57% of the variance in the satellite metrics.
In this paper is presented a methodological approach which integrates statistic modelling and 2-D cellular automata (CA) in order to describe tree species shifts responding to the climate changes foreseen for Italy in the 21st century. Five Italian tree species populations of Abies alba, Pinus sylvestris, Fagus sylvatica, Acer campestris and Quercus suber and their actual potential distributions (PDs) – represented by Importance Value (IV), have been considered.
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