scholarly journals Predicting range shifts of pikas (Mammalia, Ochotonidae) in China under scenarios incorporating land use change, climate change and dispersal limitations

2021 ◽  
Author(s):  
Liang Ma ◽  
Chun‐rong Mi ◽  
Jia‐peng Qu ◽  
De‐yan Ge ◽  
Qi‐sen Yang ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Use Change ◽  
Range Shifts ◽  
Change Climate ◽  
Dispersal Limitations

scholarly journals Modeling the Production of Multiple Ecosystem Services from Agricultural and Forest Landscapes in Rhode Island

2013 ◽  
Vol 42 (1) ◽  
pp. 251-274 ◽  
Author(s):  
Tingting Liu ◽  
Nathaniel H. Merrill ◽  
Arthur J. Gold ◽  
Dorothy Q. Kellogg ◽  
Emi Uchida
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Ecosystem Services ◽  
Land Use Change ◽  
Rhode Island ◽  
Land Management ◽  
Management Practices ◽  
Watershed Scale ◽  
River Watershed ◽  
Change Climate

This study spatially quantifies hydrological ecosystem services and the production of ecosystem services at the watershed scale. We also investigate the effects of stressors such as land use change, climate change, and choices in land management practices on production of ecosystem services and their values. We demonstrate the approach in the Beaver River watershed in Rhode Island. Our key finding is that choices in land use and land management practices create tradeoffs across multiple ecosystem services and the extent of these tradeoffs depends considerably on the scenarios and ecosystem services being compared.

Simulating erosion hazard maps under climate change and land use change for the early twenty-first century in northern Iran

2021 ◽  
Vol 14 (15) ◽  
Author(s):  
Niloofar Rasoolzadeh-Darzi ◽  
Hassan Ahmad ◽  
Abolfazl Moeini ◽  
Baharak Motamedvaziri
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Use Change ◽  
First Century ◽  
Hazard Maps ◽  
Northern Iran ◽  
Erosion Hazard ◽  
Early Twenty ◽  
Twenty First Century

scholarly journals Dynamics of soil organic carbon in the steppes of Russia and Kazakhstan under past and future climate and land use

2021 ◽  
Vol 21 (3) ◽  
Author(s):  
Susanne Rolinski ◽  
Alexander V. Prishchepov ◽  
Georg Guggenberger ◽  
Norbert Bischoff ◽  
Irina Kurganova ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Organic Carbon ◽  
Land Use Change ◽  
Soil Organic Carbon ◽  
Arable Land ◽  
Future Climate ◽  
Future Climate Change ◽  
Climate Scenarios ◽  
The Impact

AbstractChanges in land use and climate are the main drivers of change in soil organic matter contents. We investigated the impact of the largest policy-induced land conversion to arable land, the Virgin Lands Campaign (VLC), from 1954 to 1963, of the massive cropland abandonment after 1990 and of climate change on soil organic carbon (SOC) stocks in steppes of Russia and Kazakhstan. We simulated carbon budgets from the pre-VLC period (1900) until 2100 using a dynamic vegetation model to assess the impacts of observed land-use change as well as future climate and land-use change scenarios. The simulations suggest for the entire VLC region (266 million hectares) that the historic cropland expansion resulted in emissions of 1.6⋅ 1015 g (= 1.6 Pg) carbon between 1950 and 1965 compared to 0.6 Pg in a scenario without the expansion. From 1990 to 2100, climate change alone is projected to cause emissions of about 1.8 (± 1.1) Pg carbon. Hypothetical recultivation of the cropland that has been abandoned after the fall of the Soviet Union until 2050 may cause emissions of 3.5 (± 0.9) Pg carbon until 2100, whereas the abandonment of all cropland until 2050 would lead to sequestration of 1.8 (± 1.2) Pg carbon. For the climate scenarios based on SRES (Special Report on Emission Scenarios) emission pathways, SOC declined only moderately for constant land use but substantially with further cropland expansion. The variation of SOC in response to the climate scenarios was smaller than that in response to the land-use scenarios. This suggests that the effects of land-use change on SOC dynamics may become as relevant as those of future climate change in the Eurasian steppes.

scholarly journals Governing the global commons: an ethical-legal framework

2017 ◽  
Vol 13 (1) ◽  
Author(s):  
Prue Taylor
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Use Change ◽  
Ocean Acidification ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Legal Framework ◽  
State System ◽  
Global Commons ◽  
Global Challenges

Governance of the Earth’s global ecological commons creates unprecedented challenges for humanity. Our traditional Westphalian state system was not designed to respond to these global challenges and thus far it has failed to transform. Climate change is the current headline issue; 30 years on and we still swing between hope and despair about our collective ability to radically reduce greenhouse gas emissions. Related issues are beginning to vie for our response: ocean acidification, mass species extinction, land use change and freshwater scarcity. 

scholarly journals Modeling Urban Futures: Data-Driven Scenarios of Climate Change and Vulnerability in Cities

2021 ◽  
pp. 129-144
Author(s):  
L. Ortiz ◽  
A. Mustafa ◽  
B. Rosenzweig ◽  
Timon McPhearson
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Numerical Models ◽  
Flood Hazards ◽  
Ancillary Data ◽  
Road Systems ◽  
Urban Futures ◽  
Land Use Development

AbstractCities are complex systems where social, ecological, and technological processes are deeply coupled. This coupling complicates urban planning and land use development, as changing one facet of the urban fabric will likely impact the others. As cities grapple with climate change, there is a growing need to envision urban futures that not only address more frequent and intense severe weather events but also improve day-to-day livability. Here we examine climate risks as functions of the local land use with numerical models. These models leverage a wide array of data sources, from satellite imagery to tax assessments and land cover. We then present a machine-learning cellular automata approach to combine historical land use change with local coproduced urban future scenarios. The cellular automata model uses historical and ancillary data like existing road systems and natural features to develop a set of probabilistic land use change rules, which are then modified according to stakeholder priorities. The resulting land use scenarios are evaluated against historical flood hazards, showcasing how they perform against stakeholder expectations. Our work shows that coproduced scenarios, when grounded with historical and emerging data, can provide paths that increase resilience to weather hazards as well as enhancing ecosystem services provided to citizens.

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