Marginal Farmland in European Russia

Ioffe, Grigory; Nefedova, Tatyana

doi:10.2747/1538-7216.45.1.45

Cited by 48 publications

(21 citation statements)

References 10 publications

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“…A striking example of a major economic downturn was the collapse of the Soviet Union in 1991 and the subsequent transition to post-socialism, which resulted in increased poverty (Dudwick et al, 2003), abandonment of agriculture (Ioffe and Nefedova, 2004), and the decline of livestock populations (Kolesnikov, 2003). As a result of economic issues, conservation funding plummeted, and conservation institutions were weakened (Brandt, 1992;Wells and Williams, 1998).…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of protected areas in the Western Caucasus before and after the transition to post-socialism

Bragina

Radeloff

Baumann

et al. 2015

Biological Conservation

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Section: Introductionmentioning

confidence: 99%

Effectiveness of protected areas in the Western Caucasus before and after the transition to post-socialism

Bragina

Radeloff

Baumann

et al. 2015

Biological Conservation

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“…, 2004) and the effects of past environmental change and expanding human populations on the bison’s range. Recently, human population density and land use intensity have declined in many regions across Central and Eastern Europe in the wake of the collapse of socialism (Ioffe & Nefedova, 2004; Baumann et al. , 2011).…”

Section: Introductionmentioning

confidence: 99%

Reconstructing range dynamics and range fragmentation of European bison for the last 8000 years

Kuemmerle

Hickler

Olofsson

et al. 2011

Diversity and Distributions

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Aim Understanding what constituted species’ ranges prior to large‐scale human influence, and how past climate and land use change have affected range dynamics, provides conservation planners with important insights into how species may respond to future environmental change. Our aim here was to reconstruct the Holocene range of European bison (Bison bonasus) by combining a time‐calibrated species distribution models (SDM) with a dynamic vegetation model. Location Europe. Method We used European bison occurrences from the Holocene in a maximum entropy model to assess bison range dynamics during the last 8000 years. As predictors, we used bioclimatic variables and vegetation reconstructions from the generalized dynamic vegetation model LPJ‐GUESS. We compared our range maps with maps of farmland and human population expansion to identify the main species range constraints. Results The Holocene distribution of European bison was mainly determined by vegetation patterns, with bison thriving in both broadleaved and coniferous forests, as well as by mean winter temperature. The heartland of European bison was in Central and Eastern Europe, whereas suitable habitat in Western Europe was scarce. While environmentally suitable regions were overall stable, the expansion of settlements and farming severely diminished available habitat. Main conclusions European bison habitat preferences may be wider than previously assumed, and our results suggest that the species had a more eastern and northern distribution than previously reported. Vegetation and climate transformation during the Holocene did not affect the bison’s range substantially. Conversely, human population growth and the spread of farming resulted in drastic bison habitat loss and fragmentation, likely reaching a tipping point during the last 1000 years. Combining SDM and dynamic vegetation models can improve range reconstructions and projections, and thus help to identify resilient conservation strategies for endangered species.

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“…Many studies confirm that distances to settlements, road networks, markets, and population centers are decisive determinants of abandonment [26,36,49]. In the context of a market economy, it is no longer profitable to cultivate far from roads and markets .…”

Section: Hypothesismentioning

confidence: 97%

Exploring the Factors Driving Seasonal Farmland Abandonment: A Case Study at the Regional Level in Hunan Province, Central China

Liu

Zhang

et al. 2017

Sustainability

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Farmland abandonment, including perennial and seasonal abandonment, is an important process of land use change that matters most to food security. Although there is a great deal of studies on farmland abandonment, seasonal abandonment, which is as serious as perennial abandonment, has attracted little academic attention. This paper takes Hunan Province in central China as its study area and uses a spatial regression model to examine the driving factors of seasonal farmland abandonment at the county level. Our results show that farmland abandonment has striking spatial relativity, and there are two clustering zones with a high index of farmland abandonment (IFA) in the Dongting plain and the basin in south-central Hunan, while a clustering zone of low IFA can be found in the mountains of southwest Hunan. Farmland abandonment at the regional level is negatively affected by the land productive potentialities, proportion of mechanized planting, ratio of effective irrigation, and distance to provincial capital, while it is positively associated with the variables mountainous terrain, per capita farmland area, and labor shortage. Additionally, farmland abandonment is also affected by adjacent areas through its spatial dependence. In short, seasonal farmland abandonment is also driven integratedly by the socioeconomic and environmental dimensions and spatial interaction of farm abandonment.

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Marginal Farmland in European Russia

Cited by 48 publications

References 10 publications

Effectiveness of protected areas in the Western Caucasus before and after the transition to post-socialism

Effectiveness of protected areas in the Western Caucasus before and after the transition to post-socialism

Reconstructing range dynamics and range fragmentation of European bison for the last 8000 years

Exploring the Factors Driving Seasonal Farmland Abandonment: A Case Study at the Regional Level in Hunan Province, Central China

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