Large areas of agricultural land have been abandoned in European Russia since 1991, triggering succession toward more wooded landscapes, especially in northern regions where conditions for agriculture are more challenging. We hypothesize that this process has contributed to a southward shift by migratory Atlantic Greater White-fronted geese, as stopover sites in northern Russia became progressively less suitable. To test this hypothesis, we located stopover sites from information contained in 2976 ring recoveries and sightings of neck-collared geese.

Understanding what drives, catalyzes or constraints land use change in the Brazilian agricultural frontier is a condition for effective policy design at the local level, which in turn might have implications for food production, environmental conservation and greenhouse gas emissions worldwide. We analyzed the process of agricultural expansion observed in the state of Mato Grosso, the country's largest agricultural producer, by mapping and quantifying the incorporation of new farming areas and the conversion of existing ones into mechanized soybean fields at the farm-level.

Riverine nitrogen (N) export is a crucial process that links upstream and downstream ecosystems and coastal zones. However, the driving forces of riverine N export that is closely related to water N pollution are still not well understood. In this study, we used a mass balance approach to quantify the sources of N discharge and analyzed the effect of land use composition on riverine N export, taking Zhejiang Province, China as a case study. We found that the total reactive N discharge to rivers in Zhejiang increased from 0.22 to 0.26 Tg yr-1 from 2000 to 2015.

Causal explanations of land change are fundamental in land system science, yet existing findings are difficult to synthesize due to the imprecise terminology and the various analytical frameworks they have applied. This paper compares three existing conceptual frameworks, in terms of underlying driving forces and proximate causes, actors, and environmental cognitions, by aligning the relevant elements into a causal chain. We find that the elicitation of environmental cognitions helps in providing a detailed description of this causal chain.

Arid and semi-arid regions are particularly vulnerable to global environmental change because of their fragile climatic conditions. The rapid development of land use is expected to affect aquatic ecosystems in these regions. In this study, we focused on how land use change affects the stream flow and inflow to Urmia Lake in the Mordagh Chay basin, Iran. This case-study exemplifies dynamics found across a much larger region. We mapped changes in land use between 1993–2015 using satellite imagery and modeled future changes using the Dyna-CLUE model.

Changes to land use such as the removal of natural vegetation and expansion of urban areas can result in degradation of the landscape and an increase in hydro-meteorological risk. This has led to higher interest by decision-makers and scientists in the future consequences of these drivers. Scenario development can be a useful tool for addressing the high uncertainty regarding modeling future land use changes. Scenarios are not exact forecasts, but images of plausible futures.

Conversion of arable land (maize) to pasture will affect the soil organic matter (SOM) content. Changes in the SOM content were studied using a size- and density-fractionation method and C-13 analysis. Twenty-six years of maize cropping had resulted in a depletion of carbon stored in the macro-organic fractions (>150 mu m) and an increase in the 250 mu m), light (b.d. 150 mu m) and light (b.d. 150 mu m; b.d. >1.13 g cm(-3)) in the 0- to 20-cm layer was still 40-50% lower than in the continuous pasture plots.

Research gaps in understanding flood changes at the catchment scale caused by changes in forest management, agricultural practices, artificial drainage, and terracing are identified. Potential strategies in addressing these gaps are proposed, such as complex systems approaches to link processes across time scales, long-term experiments on physical-chemical-biological process interactions, and a focus on connectivity and patterns across spatial scales.

Biodiversity in freshwater ecosystems - rivers, lakes and wetlands - is undergoing rapid global decline. Major drivers are land use change, eutrophication, hydrological disturbance, climate change, overexploitation and invasive species. We developed a global model for assessing the dominant human impacts on inland aquatic biodiversity. The system consists of a biodiversity model, named GLOBIO-Aquatic, that is embedded in the IMAGE model framework, i.e.

Urbanization and climate changes have direct impacts on ecosystems and the services they provide to society, thus influencing human well-being and health. Urban sprawl may conflict with ecosystem services, e.g. enhancing water-related stresses and risks of, e.g., droughts and floods, with significant economic, environmental and societal impacts. Such hydro-climatic extremes and their societal impacts are evident around the world. East Africa is a region with highly vulnerable populations to frequent floods and droughts.

Land abandonment is widespread in the Mediterranean mountains. The impact of agricultural abandonment results in a shift in ecosystem evolution due to changes in soil erosion, but little is known about long-term soil and water losses. This paper uses 11 years of measurements in two paired plots (abandoned vs control) with four subplots to determine how soil and water losses evolved after abandonment within an agricultural parcel. For two years (2004–2005) both plots were under tillage, and after 2006 one plot was abandoned.

Semiarid regions are often secondary on the national to global (scientific) agenda, especially if abundant vegetation elsewhere draws attention and the local population is considered backwards thinking and poverty-stricken. The Caatinga, our case study, is such a region, home to millions of Brazilians and a vast biodiversity. Unfortunately, a widely uncoordinated land use change and biodiversity decline are happening, while farmers’ livelihoods are at risk. We hypothesize substantial weaknesses in the current governance practices.