Journal articles: 'Climate change and land use change'

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Henderson-Sellers, A. "Land-use change and climate." Land Degradation and Development 5, no. 2 (July 1994): 107–26. http://dx.doi.org/10.1002/ldr.3400050207.

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van der Molen, P., and D. Mitchell. "Climate change, land use and land surveyors." Survey Review 48, no. 347 (February 23, 2016): 148–55. http://dx.doi.org/10.1179/1752270615y.0000000029.

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Stone, Brian. "Land Use as Climate Change Mitigation." Environmental Science & Technology 43, no. 24 (December 15, 2009): 9052–56. http://dx.doi.org/10.1021/es902150g.

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McMichael, J. "CLIMATE CHANGE, LAND USE, BIODIVERSITY LOSS." Epidemiology 9, Supplement (July 1998): S40. http://dx.doi.org/10.1097/00001648-199807001-00078.

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Trenberth, Kevin E. "Rural land-use change and climate." Nature 427, no. 6971 (January 2004): 213. http://dx.doi.org/10.1038/427213a.

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Mendelsohn, Robert, and Ariel Dinar. "Land Use and Climate Change Interactions." Annual Review of Resource Economics 1, no. 1 (October 10, 2009): 309–32. http://dx.doi.org/10.1146/annurev.resource.050708.144246.

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Mahmood, Rezaul, Roger A. Pielke, and Clive A. McAlpine. "Climate-Relevant Land Use and Land Cover Change Policies." Bulletin of the American Meteorological Society 97, no. 2 (February 1, 2016): 195–202. http://dx.doi.org/10.1175/bams-d-14-00221.1.

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Abstract Both observational and modeling studies clearly demonstrate that land-use and land-cover change (LULCC) play an important biogeophysical and biogeochemical role in the climate system from the landscape to regional and even continental scales. Without comprehensively considering these impacts, an adequate response to the threats posed by human intervention into the climate system will not be adequate. Public policy plays an important role in shaping local- to national-scale land-use practices. An array of national policies has been developed to influence the nature and spatial extent of LULCC. Observational evidence suggests that these policies, in addition to international trade treaties and protocols, have direct effects on LULCC and thus the climate system. However, these policies, agreements, and protocols fail to adequately recognize these impacts. To make these more effective and thus to minimize climatic impacts, we propose several recommendations: 1) translating international treaties and protocols into national policies and actions to ensure positive climate outcomes; 2) updating international protocols to reflect advancement in climate–LULCC science; 3) continuing to invest in the measurements, databases, reporting, and verification activities associated with LULCC and LULCC-relevant climate monitoring; and 4) reshaping Reducing Emissions from Deforestation and Forest Degradation+ (REDD+) to fully account for the multiscale biogeophysical and biogeochemical impacts of LULCC on the climate system.

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Juliá, Roxana, and Faye Duchin. "Land Use Change and Global Adaptations to Climate Change." Sustainability 5, no. 12 (December 13, 2013): 5442–59. http://dx.doi.org/10.3390/su5125442.

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Dale, Virginia H. "THE RELATIONSHIP BETWEEN LAND-USE CHANGE AND CLIMATE CHANGE." Ecological Applications 7, no. 3 (August 1997): 753–69. http://dx.doi.org/10.1890/1051-0761(1997)007[0753:trbluc]2.0.co;2.

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Schulte to Bühne, Henrike, Joseph A. Tobias, Sarah M. Durant, and Nathalie Pettorelli. "Improving Predictions of Climate Change–Land Use Change Interactions." Trends in Ecology & Evolution 36, no. 1 (January 2021): 29–38. http://dx.doi.org/10.1016/j.tree.2020.08.019.

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Talib, Ammara, and Timothy O. Randhir. "Climate change and land use impacts on hydrologic processes of watershed systems." Journal of Water and Climate Change 8, no. 3 (March 24, 2017): 363–74. http://dx.doi.org/10.2166/wcc.2017.064.

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Land use, land cover and climate change (CC) can significantly influence the hydrologic balance and biogeochemical processes of watershed systems. These changes can alter interception, evapotranspiration (ET), infiltration, soil moisture, water balance, and biogeochemical cycling of carbon, nitrogen, and other elements. The need to evaluate the combined effect of land use change and CC of watershed systems is a focus of this study. We simulated watershed processes in the SuAsCo River watershed in MA, USA, using a calibrated and validated Hydrological Simulation Program Fortran model. Climatic scenarios included downscaled regional projections from Global Climate Model models. The Land Transformation Model was used to project land use. Combined change in land cover and climate reduce ET with loss of vegetation. Changes in climate and land cover increase surface runoff significantly by 2100 as well as stream discharge. Combined change in land cover and climate cause 10% increase in peak volume with 7% increase in precipitation and 75% increase in effective impervious area. Climate and land use changes can intensify the water cycle and introduce seasonal changes in watershed systems. Understanding dynamic changes in watershed systems is critical for mitigation and adaptation options. We propose restoration strategies that can increase the resilience of watershed systems.

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Junkermann, W., J. Hacker, T. Lyons, and U. Nair. "Land use change suppresses precipitation." Atmospheric Chemistry and Physics 9, no. 17 (September 10, 2009): 6531–39. http://dx.doi.org/10.5194/acp-9-6531-2009.

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Abstract. A feedback loop between regional scale deforestation and climate change was investigated in an experiment using novel, small size airborne platforms and instrument setups. Experiments were performed in a worldwide unique natural laboratory in Western Australia, characterized by two adjacent homogeneous observation areas with distinctly different land use characteristics. Conversion of several ten thousand square km of forests into agricultural land began more than a century ago. Changes in albedo, surface roughness, the soil water budget and the planetary boundary layer evolved over decades. Besides different meteorology, we found a significant up to now overlooked source of aerosol over the agriculture area. The enhanced number of cloud condensation nuclei is coupled through the hydrological groundwater cycle with deforestation. Modification of surface properties and aerosol number concentrations are key factors for the observed reduction of precipitation. The results document the importance of aerosol indirect effects on climate due to nanometer size biogenic aerosol and human impact on aerosol sources.

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Junkermann, W., J. Hacker, T. Lyons, and U. Nair. "Land use change suppresses precipitation." Atmospheric Chemistry and Physics Discussions 9, no. 3 (May 8, 2009): 11481–500. http://dx.doi.org/10.5194/acpd-9-11481-2009.

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Abstract. A feedback loop between regional scale deforestation and climate change was investigated in an experiment using novel, small size airborne platforms and instrument setups. Experiments were performed in a worldwide unique natural laboratory in Western Australia, characterized by two adjacent homogeneous observation areas with distinctly different land use characteristics. Conversion of several ten thousand square km of forests into agricultural land began more than a century ago. Changes in albedo and surface roughness and the water budget of soil and the planetary boundary layer evolved over decades. Besides different meteorology we found a significant up to now overseen source of aerosol over the agriculture. The enhanced number of cloud condensation nuclei is coupled through the hydrological groundwater cycle with deforestation. Modification of surface properties and aerosol number concentrations are key factors for the observed reduction of precipitation. The results document the importance of aerosol indirect effects on climate due to nanometer size biogenic aerosol and human impact on aerosol sources.

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HAMILTON, CHRISTOPHER M., WAYNE E. THOGMARTIN, VOLKER C. RADELOFF, ANDREW J. PLANTINGA, PATRICIA J. HEGLUND, SEBASTIAN MARTINUZZI, and ANNA M. PIDGEON. "Change in agricultural land use constrains adaptation of national wildlife refuges to climate change." Environmental Conservation 42, no. 1 (May 22, 2014): 12–19. http://dx.doi.org/10.1017/s0376892914000174.

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SUMMARYLand-use change around protected areas limits their ability to conserve biodiversity by altering ecological processes such as natural hydrologic and disturbance regimes, facilitating species invasions, and interfering with dispersal of organisms. This paper informs USA National Wildlife Refuge System conservation planning by predicting future land-use change on lands within 25 km distance of 461 refuges in the USA using an econometric model. The model contained two differing policy scenarios, namely a ‘business-as-usual’ scenario and a ‘pro-agriculture’ scenario. Regardless of scenario, by 2051, forest cover and urban land use were predicted to increase around refuges, while the extent of range and pasture was predicted to decrease; cropland use decreased under the business-as-usual scenario, but increased under the pro-agriculture scenario. Increasing agricultural land value under the pro-agriculture scenario slowed an expected increase in forest around refuges, and doubled the rate of range and pasture loss. Intensity of land-use change on lands surrounding refuges differed by regions. Regional differences among scenarios revealed that an understanding of regional and local land-use dynamics and management options was an essential requirement to effectively manage these conserved lands. Such knowledge is particularly important given the predicted need to adapt to a changing global climate.

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Kim, Jin Soo, and Chul Uong Choi. "Impact of Changes in Climate and Land Use/Land Cover Change Under Climate Change Scenario on Streamflow in the Basin." Journal of Korean Society for Geospatial Information System 21, no. 2 (June 30, 2013): 107–16. http://dx.doi.org/10.7319/kogsis.2013.21.2.107.

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Wan, Lei, Huiyu Liu, Haibo Gong, and Yujia Ren. "Effects of Climate and Land Use changes on Vegetation Dynamics in the Yangtze River Delta, China Based on Abrupt Change Analysis." Sustainability 12, no. 5 (March 4, 2020): 1955. http://dx.doi.org/10.3390/su12051955.

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Vegetation dynamics is thought to be affected by climate and land use changes. However, how the effects vary after abrupt vegetation changes remains unclear. Based on the Mann-Kendall trend and abrupt change analysis, we monitored vegetation dynamics and its abrupt change in the Yangtze River delta during 1982–2016. With the correlation analysis, we revealed the relationship of vegetation dynamics with climate changes (temperature and precipitation) pixel-by-pixel and then with land use changes analysis we studied the effects of land use changes (unchanged or changed land use) on their relationship. Results showed that: (1) the Normalized Vegetation Index (NDVI) during growing season that is represented as GSN (growing season NDVI) showed an overall increasing trend and had an abrupt change in 2000. After then, the area percentages with decreasing GSN trend increased in cropland and built-up land, mainly located in the eastern, while those with increasing GSN trend increased in woodland and grassland, mainly located in the southern. Changed land use, except the land conversions from/to built-up land, is more favor for vegetation greening than unchanged land use (2) after abrupt change, the significant positive correlation between precipitation and GSN increased in all unchanged land use types, especially for woodland and grassland (natural land use) and changed land use except built-up land conversion. Meanwhile, the insignificant positive correlation between temperature and GSN increased in woodland, while decreased in the cropland and built-up land in the northwest (3) after abrupt change, precipitation became more important and favor, especially for natural land use. However, temperature became less important and favor for all land use types, especially for built-up land. This research indicates that abrupt change analysis will help to effectively monitor vegetation trend and to accurately assess the relationship of vegetation dynamics with climate and land use changes.

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Gries, Thomas, Margarete Redlin, and Juliette Espinosa Ugarte. "Human-induced climate change: the impact of land-use change." Theoretical and Applied Climatology 135, no. 3-4 (February 26, 2018): 1031–44. http://dx.doi.org/10.1007/s00704-018-2422-8.

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Ekardt, F., B. Hennig, and H. von Bredow. "Land Use, Climate Change and Emissions Trading." Carbon & Climate Law Review 5, no. 3 (2011): 371–83. http://dx.doi.org/10.21552/cclr/2011/3/191.

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Pielke Sr., R. A. "ATMOSPHERIC SCIENCE: Land Use and Climate Change." Science 310, no. 5754 (December 9, 2005): 1625–26. http://dx.doi.org/10.1126/science.1120529.

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Popp, Alexander, Florian Humpenöder, Isabelle Weindl, Benjamin Leon Bodirsky, Markus Bonsch, Hermann Lotze-Campen, Christoph Müller, et al. "Land-use protection for climate change mitigation." Nature Climate Change 4, no. 12 (November 17, 2014): 1095–98. http://dx.doi.org/10.1038/nclimate2444.

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Dirmeyer, Paul A., Dev Niyogi, Nathalie de Noblet-Ducoudré, Robert E. Dickinson, and Peter K. Snyder. "Impacts of land use change on climate." International Journal of Climatology 30, no. 13 (October 25, 2010): 1905–7. http://dx.doi.org/10.1002/joc.2157.

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Vose, Russell S., Thomas R. Karl, David R. Easterling, Claude N. Williams, and Matthew J. Menne. "Impact of land-use change on climate." Nature 427, no. 6971 (January 2004): 213–14. http://dx.doi.org/10.1038/427213b.

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Cai, Ming, and Eugenia Kalnay. "Impact of land-use change on climate." Nature 427, no. 6971 (January 2004): 214. http://dx.doi.org/10.1038/427214a.

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Dale, Virginia H., Rebecca A. Efroymson, and Keith L. Kline. "The land use–climate change–energy nexus." Landscape Ecology 26, no. 6 (May 15, 2011): 755–73. http://dx.doi.org/10.1007/s10980-011-9606-2.

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Kay, Robert. "Land use planning policy and climate change." Land Use Policy 10, no. 2 (April 1993): 174–75. http://dx.doi.org/10.1016/0264-8377(93)90008-x.

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Marhaento, Hero, Martijn J. Booij, and Arjen Y. Hoekstra. "Attribution of changes in stream flow to land use change and climate change in a mesoscale tropical catchment in Java, Indonesia." Hydrology Research 48, no. 4 (August 30, 2016): 1143–55. http://dx.doi.org/10.2166/nh.2016.110.

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Changes in the stream flow of the Samin catchment (277.9 km2) in Java, Indonesia, have been attributed to land use change and climate change. Hydroclimatic data covering the period 1990–2013 and land use data acquired from Landsat satellite imageries for the years 1994 and 2013 were analysed. A quantitative measure is developed to attribute stream flow changes to land use and climate changes based on the changes in the proportion of excess water relative to changes in the proportion of excess energy. The results show that 72% of the increase in stream flow might be attributed to land use change. The results are validated by a land use change analysis and two statistical trend analyses namely the Mann-Kendall trend analysis and Sen's slope estimator for mean annual discharge, rainfall and potential evapotranspiration. The results of the statistical trend analysis are in the same direction as the results of the attribution analysis, where climate change was relatively minor compared to significant land uses change due to deforestation during the period 1994–2013. We conclude that changes in stream flow can be mainly attributed to land use change rather than climate change for the study catchment.

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Dale, Virginia H., Karen O. Lannom, M. Lynn Tharp, Donald G. Hodges, and Jonah Fogel. "Effects of climate change, land-use change, and invasive species on the ecology of the Cumberland forests." Canadian Journal of Forest Research 39, no. 2 (February 2009): 467–80. http://dx.doi.org/10.1139/x08-172.

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Model projections suggest that both climate and land-use changes have large effects on forest biomass and composition in the Cumberland forests of Tennessee and Kentucky. These forests have high levels of diversity, ecological importance, land-use changes, and pressures due to invasive herbivorous insects and climate change. Three general circulation models project warming for all months in 2030 and 2080 and complex patterns of precipitation change. Climate changes from 1980 to 2100 were developed from these projections and used in the forest ecosystem model LINKAGES to estimate transient changes in forest biomass and species composition over time. These projections show that climate changes can instigate a decline in forest stand biomass and then recovery as forest species composition shifts. In addition, a landscape model (LSCAP) estimates changes in land-cover types of the Cumberlands based on projected land-use changes and the demise of eastern hemlock ( Tsuga canadensis (L.) Carrière) due to the spread of the hemlock adelgid ( Adelges tsugae Annand). LSCAP suggests that land-cover changes can be quite large and can cause a decline not only in the area of forested lands but also in the size and number of large contiguous forest patches that are necessary habitat for many forest species characteristic of the Cumberlands.

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Zhao, Fang, Xincan Lan, Wuyang Li, Wenbo Zhu, and Tianqi Li. "Influence of Land Use Change on the Surface Albedo and Climate Change in the Qinling-Daba Mountains." Sustainability 13, no. 18 (September 10, 2021): 10153. http://dx.doi.org/10.3390/su131810153.

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Land use changes affect the surface radiative budget and energy balance by changing the surface albedo, which generates radiative forcing, impacting the regional and global climate. To estimate the effect of land use changes on the surface albedo and climate change in a mountainous area with complex terrain, we obtained MODIS data, identified the spatial–temporal characteristics of the surface albedo caused by land use changes, and then calculated the radiative forcing based on solar radiative data and the surface albedo in the Qinling-Daba mountains from 2000 to 2015. The correlation between the land use changes and the radiative forcing was analyzed to explore the climate effects caused by land use changes on a kilometer-grid scale in the Qinling-Daba mountains. Our results show that the primarily land use changes were a decrease in the cultivated land area and an increase in the construction land area, as well as other conversions between six land use types from 2000 to 2015. The land use changes led to significant changes in the surface albedo. Meanwhile, the radiative forcing caused by the land use had different magnitudes, strengths, and occurrence ranges, resulting in both warming and cooling climate change effects.

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Tsarouchi, Gina, and Wouter Buytaert. "Land-use change may exacerbate climate change impacts on water resources in the Ganges basin." Hydrology and Earth System Sciences 22, no. 2 (February 27, 2018): 1411–35. http://dx.doi.org/10.5194/hess-22-1411-2018.

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Abstract. Quantifying how land-use change and climate change affect water resources is a challenge in hydrological science. This work aims to quantify how future projections of land-use and climate change might affect the hydrological response of the Upper Ganges river basin in northern India, which experiences monsoon flooding almost every year. Three different sets of modelling experiments were run using the Joint UK Land Environment Simulator (JULES) land surface model (LSM) and covering the period 2000–2035: in the first set, only climate change is taken into account, and JULES was driven by the CMIP5 (Coupled Model Intercomparison Project Phase 5) outputs of 21 models, under two representative concentration pathways (RCP4.5 and RCP8.5), whilst land use was held fixed at the year 2010. In the second set, only land-use change is taken into account, and JULES was driven by a time series of 15 future land-use pathways, based on Landsat satellite imagery and the Markov chain simulation, whilst the meteorological boundary conditions were held fixed at years 2000–2005. In the third set, both climate change and land-use change were taken into consideration, as the CMIP5 model outputs were used in conjunction with the 15 future land-use pathways to force JULES. Variations in hydrological variables (stream flow, evapotranspiration and soil moisture) are calculated during the simulation period. Significant changes in the near-future (years 2030–2035) hydrologic fluxes arise under future land-cover and climate change scenarios pointing towards a severe increase in high extremes of flow: the multi-model mean of the 95th percentile of streamflow (Q5) is projected to increase by 63 % under the combined land-use and climate change high emissions scenario (RCP8.5). The changes in all examined hydrological components are greater in the combined land-use and climate change experiment. Results are further presented in a water resources context, aiming to address potential implications of climate change and land-use change from a water demand perspective. We conclude that future water demands in the Upper Ganges region for winter months may not be met.

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Chawla, I., and P. P. Mujumdar. "Isolating the impacts of land use and climate change on streamflow." Hydrology and Earth System Sciences Discussions 12, no. 2 (February 20, 2015): 2201–42. http://dx.doi.org/10.5194/hessd-12-2201-2015.

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Abstract. Streamflow regime is sensitive to changes in land use and climate in a river basin. Quantifying the isolated and integrated impacts of land use and climate change on streamflow is challenging as well as crucial to optimally manage water resources in the river basin. This paper presents a simple hydrologic modelling based approach to segregate the impacts of land use and climate change on streamflow of a river basin. The upper Ganga basin in India is selected as the case study to carry out the analysis. Streamflow in the river basin is modelled using a calibrated variable infiltration capacity hydrologic model. The approach involves development of three scenarios to understand the influence of land use and climate on streamflow. The first scenario assesses the sensitivity of streamflow to land use changes under invariant climate. The second scenario determines the change in streamflow due to change in climate assuming constant land use. The third scenario estimates the combined effect of changing land use and climate over streamflow of the basin. Based on the results obtained from the three scenarios, quantification of isolated impacts of land use and climate change on streamflow is addressed. Future projections of climate are obtained from dynamically downscaled simulations of six general circulation models (GCMs) available from the Coordinated Regional Downscaling Experiment (CORDEX) project. Uncertainties associated with the GCMs and emission scenarios are quantified in the analysis. Results for the case study indicate that streamflow is highly sensitive to change in urban area and moderately sensitive to change in crop land area. However, variations in streamflow generally reproduce the variations in precipitation. Combined effect of land use and climate on streamflow is observed to be more pronounced compared to their individual impacts in the basin. It is observed from the isolated effects of land use and climate change that climate has a more dominant impact on streamflow in the region. The approach proposed in this paper is applicable to any river basin to isolate the impacts of land use change and climate change on the streamflow.

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Chang, Heejun, and Jon Franczyk. "Climate Change, Land-Use Change, and Floods: Toward an Integrated Assessment." Geography Compass 2, no. 5 (July 24, 2008): 1549–79. http://dx.doi.org/10.1111/j.1749-8198.2008.00136.x.

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Solecki, William D., and Charles Oliveri. "Downscaling climate change scenarios in an urban land use change model." Journal of Environmental Management 72, no. 1-2 (August 2004): 105–15. http://dx.doi.org/10.1016/j.jenvman.2004.03.014.

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Wang, Hejia, Weihua Xiao, Yong Zhao, Yicheng Wang, Baodeng Hou, Yuyan Zhou, Heng Yang, Xuelei Zhang, and Hao Cui. "The Spatiotemporal Variability of Evapotranspiration and Its Response to Climate Change and Land Use/Land Cover Change in the Three Gorges Reservoir." Water 11, no. 9 (August 21, 2019): 1739. http://dx.doi.org/10.3390/w11091739.

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Evapotranspiration (ET) has undergone profound changes as a result of global climate change and anthropogenic activities. The construction of the Three Gorges Reservoir (TGR) has led to changes in its land use/land cover (LUCC) and local climate, which in turn has changed ET processes in the TGR region. In this paper, the CLM4.5 land surface model is used to simulate and analyze the spatiotemporal variability of ET between 1993 and 2013. Four experiments were conducted to quantify the contribution rate of climate change and LUCC to changes in ET processes. The results show that the climate showed a warming and drying trend from 1993 to 2013, and the LUCC indicates decreasing cropland with increasing forest, grassland, water bodies and urban areas. These changes increased the mean annual ET by 13.76 mm after impoundment. Spatially, the vegetation transpiration accounts for the largest proportion in ET. The decreasing relative humidity and increasing wind speeds led to an increase in vegetation transpiration and ground evaporation, respectively, in the center of the TGR region, while the LUCC drove changes in ET in water bodies, urban areas and high-altitude regions in the TGR region.

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Ahn. "Assessment of Climate and Land Use Change Impacts on Watershed Hydrology for an Urbanizing Watershed." Journal of the Korean Society of Civil Engineers 35, no. 3 (2015): 567. http://dx.doi.org/10.12652/ksce.2015.35.3.0567.

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Twisa, Sekela, and Manfred F. Buchroithner. "Land-Use and Land-Cover (LULC) Change Detection in Wami River Basin, Tanzania." Land 8, no. 9 (September 8, 2019): 136. http://dx.doi.org/10.3390/land8090136.

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Anthropogenic activities have substantially changed natural landscapes, especially in regions which are extremely affected by population growth and climate change such as East African countries. Understanding the patterns of land-use and land-cover (LULC) change is important for efficient environmental management, including effective water management practice. Using remote sensing techniques and geographic information systems (GIS), this study focused on changes in LULC patterns of the upstream and downstream Wami River Basin over 16 years. Multitemporal satellite imagery of the Landsat series was used to map LULC changes and was divided into three stages (2000–2006, 2006–2011, and 2011–2016). The results for the change-detection analysis and the change matrix table from 2000 to 2016 show the extent of LULC changes occurring in different LULC classes, while most of the grassland, bushland, and woodland were intensively changed to cultivated land both upstream and downstream. These changes indicate that the increase of cultivated land was the result of population growth, especially downstream, while the primary socioeconomic activity remains agriculture both upstream and downstream. In general, net gain and net loss were observed downstream, which indicate that it was more affected compared to upstream. Hence, proper management of the basin, including land use planning, is required to avoid resources-use conflict between upstream and downstream users.

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Ward, D. S., N. M. Mahowald, and S. Kloster. "Potential climate forcing of land use and land cover change." Atmospheric Chemistry and Physics Discussions 14, no. 8 (May 14, 2014): 12167–234. http://dx.doi.org/10.5194/acpd-14-12167-2014.

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Abstract. Pressure on land resources is expected to increase as global population continues to climb and the world becomes more affluent, swelling the demand for food. Changing climate may exert additional pressures on natural lands as present day productive regions may shift, or soil quality may degrade, and the recent rise in demand for biofuels increases competition with edible crops for arable land. Given these projected trends there is a need to understand the global climate impacts of land use and land cover change (LULCC). Here we quantify the climate impacts of global LULCC in terms of modifications to the balance between incoming and outgoing radiation at the top of the atmosphere (radiative forcing; RF) that are caused by changes in long-lived and short-lived greenhouse gas concentrations, aerosol effects and land surface albedo. We simulate historical changes to terrestrial carbon storage, global fire emissions, secondary organic aerosol emissions, and surface albedo from LULCC using the Community Land Model version 3.5. These LULCC emissions are combined with estimates of agricultural emissions of important trace gases and mineral dust in two sets of Community Atmosphere Model simulations to calculate the RF from LULCC impacts on atmospheric chemistry and changes in aerosol concentrations. With all forcing agents considered together, we show that 45% (+30%, −20%) of the present-day anthropogenic RF can be attributed to LULCC. Changes in the emission of non-CO2 greenhouse gases and aerosols from LULCC enhance the total LULCC RF by a factor of 2 to 3 with respect to the LULCC RF from CO2 alone. This enhancement factor also applies to projected LULCC RF, which we compute for four future scenarios associated with the Representative Concentration Pathways. We calculate total RFs between 1 to 2 W m−2 from LULCC for the year 2100 (relative to a preindustrial state). To place an upper bound on the potential of LULCC to alter the global radiation budget we include a fifth scenario in which all arable land is cultivated by 2100. This "worst-case scenario" leads to a LULCC RF of 4.3 W m−2 (±1.0 W m−2), suggesting that not only energy policy but land policy is necessary to minimize future increases in RF and associated climate changes.

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Ward, D. S., N. M. Mahowald, and S. Kloster. "Potential climate forcing of land use and land cover change." Atmospheric Chemistry and Physics 14, no. 23 (December 3, 2014): 12701–24. http://dx.doi.org/10.5194/acp-14-12701-2014.

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Abstract. Pressure on land resources is expected to increase as global population continues to climb and the world becomes more affluent, swelling the demand for food. Changing climate may exert additional pressures on natural lands as present-day productive regions may shift, or soil quality may degrade, and the recent rise in demand for biofuels increases competition with edible crops for arable land. Given these projected trends there is a need to understand the global climate impacts of land use and land cover change (LULCC). Here we quantify the climate impacts of global LULCC in terms of modifications to the balance between incoming and outgoing radiation at the top of the atmosphere (radiative forcing, RF) that are caused by changes in long-lived and short-lived greenhouse gas concentrations, aerosol effects, and land surface albedo. We attribute historical changes in terrestrial carbon storage, global fire emissions, secondary organic aerosol emissions, and surface albedo to LULCC using simulations with the Community Land Model version 3.5. These LULCC emissions are combined with estimates of agricultural emissions of important trace gases and mineral dust in two sets of Community Atmosphere Model simulations to calculate the RF of changes in atmospheric chemistry and aerosol concentrations attributed to LULCC. With all forcing agents considered together, we show that 40% (±16%) of the present-day anthropogenic RF can be attributed to LULCC. Changes in the emission of non-CO2 greenhouse gases and aerosols from LULCC enhance the total LULCC RF by a factor of 2 to 3 with respect to the LULCC RF from CO2 alone. This enhancement factor also applies to projected LULCC RF, which we compute for four future scenarios associated with the Representative Concentration Pathways. We attribute total RFs between 0.9 and 1.9 W m−2 to LULCC for the year 2100 (relative to a pre-industrial state). To place an upper bound on the potential of LULCC to alter the global radiation budget, we include a fifth scenario in which all arable land is cultivated by 2100. This theoretical extreme case leads to a LULCC RF of 3.9 W m−2 (±0.9 W m−2), suggesting that not only energy policy but also land policy is necessary to minimize future increases in RF and associated climate changes.

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38

Bongaarts, John. "Special Report on Climate Change and Land Use. Intergovernmental Panel on Climate Change, 2018." Population and Development Review 45, no. 4 (December 2019): 936–37. http://dx.doi.org/10.1111/padr.12306.

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Clavero, Miguel, Daniel Villero, and Lluís Brotons. "Climate Change or Land Use Dynamics: Do We Know What Climate Change Indicators Indicate?" PLoS ONE 6, no. 4 (April 21, 2011): e18581. http://dx.doi.org/10.1371/journal.pone.0018581.

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MAHMOOD, R., R. PIELKESR, and K. HUBBARD. "Land use/land cover change and its impacts on climate." Global and Planetary Change 54, no. 1-2 (November 2006): vii. http://dx.doi.org/10.1016/j.gloplacha.2006.05.004.

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Rounsevell, M. D. A., and D. S. Reay. "Land use and climate change in the UK." Land Use Policy 26 (December 2009): S160—S169. http://dx.doi.org/10.1016/j.landusepol.2009.09.007.

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42

Hassan, Marwan A., Khaled Shahin, Brian Klinkenberg, Graham McIntyre, Mousa Diabat, Abed Al-Rahman Tamimi, and Ronit Nativ. "Palestinian Water II: Climate Change and Land Use." Geography Compass 4, no. 2 (February 2010): 139–57. http://dx.doi.org/10.1111/j.1749-8198.2009.00294.x.

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Petrovič, František. "Hydrological Impacts of Climate Change and Land Use." Water 13, no. 6 (March 15, 2021): 799. http://dx.doi.org/10.3390/w13060799.

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Water is a basic, necessary condition for life. It is referred to as the main commodity of the 21st century. There are already many areas in the world where its deficiency causes the degradation of landscape components (soil, flora, fauna), leading to the abandonment of this landscape and a gradual deterioration into desert. Desertification can lead to poverty, health problems and loss of biodiversity. Such negative processes can be caused by human influence either directly or indirectly. Indirectly, the civilization has an impact on water as a result of climate change influenced by its activities. The matter of climate change is currently a very frequently discussed issue. Climate change on planet Earth has been ongoing in the past and continues to happen today. However, most alarming is the fact that change is currently happening much faster and with increasing intensity. For this reason, the issue of climate change is no longer perceived only as a possible future threat, but rather is considered as one of the crucial environmental problems of today.

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Birthal, Pratap S., Jaweriah Hazrana, Digvijay S. Negi, and Subhash C. Bhan. "Climate change and land-use in Indian agriculture." Land Use Policy 109 (October 2021): 105652. http://dx.doi.org/10.1016/j.landusepol.2021.105652.

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Chen, Qihui, Hua Chen, Jinxing Wang, Ying Zhao, Jie Chen, and Chongyu Xu. "Impacts of Climate Change and Land-Use Change on Hydrological Extremes in the Jinsha River Basin." Water 11, no. 7 (July 7, 2019): 1398. http://dx.doi.org/10.3390/w11071398.

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Hydrological extremes are closely related to extreme hydrological events, which have been and continue to be one of the most important natural hazards causing great damage to lives and properties. As two of the main factors affecting the hydrological cycle, land-use change and climate change have attracted the attention of many researchers in recent years. However, there are few studies that comprehensively consider the impacts of land-use change and climate change on hydrological extremes, and few researchers have made a quantitative distinction between them. Regarding this problem, this study aims to quantitatively distinguish the effects of land-use change and climate change on hydrological extremes during the past half century using the method of scenarios simulation with the soil and water assessment tool (SWAT). Furthermore, the variations of hydrological extremes are forecast under future scenarios by incorporating the downscaled climate simulations from several representative general circulation models (GCMs). Results show that: (1) respectively rising and declining risks of floods and droughts are detected during 1960–2017. The land use changed little during 1980–2015, except for the water body and building land. (2) The SWAT model possesses better simulation effects on high flows compared with low flows. Besides, the downscaled GCM data can simulate the mean values of runoff well, and acceptable simulation effects are achieved for the extreme runoff indicators, with the exception of frequency and durations of floods and extreme low flows. (3) During the period 1970–2017, the land-use change exerts little impact on runoff extremes, while climate change is one of the main factors leading to changes in extreme hydrological situation. (4) In the context of global climate change, the indicators of 3-day max and 3-day min runoff will probably increase in the near future (2021–2050) compared with the historical period (1970–2005). This research helps us to better meet the challenge of probably increased flood risks by providing references to the decision making of prevention and mitigation measures, and thus possesses significant social and economic value.

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Yan, Renhua, Jiacong Huang, Yan Wang, Junfeng Gao, and Lingyan Qi. "Modeling the combined impact of future climate and land use changes on streamflow of Xinjiang Basin, China." Hydrology Research 47, no. 2 (June 17, 2015): 356–72. http://dx.doi.org/10.2166/nh.2015.206.

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The response of hydrologic circulation to climate and land use changes is important in studying the historical, present, and future evolution of aquatic ecosystems. In this study, the Coupled Model Inter-comparison Project Phase 5 multi-model ensemble and a raster-based Xin'anjiang model were applied to simulate future streamflows under three climate change scenarios and two land use/cover change conditions in the Xinjiang Basin, China, and to investigate the combined effect of future climate and land use/cover changes on streamflow. Simulation results indicated that future climate and land use/cover changes affect not only the seasonal distributions of streamflow, but also the annual amounts of streamflow. For each climate scenario, the average monthly streamflows increase by more than 4% in autumn and early winter, while decreasing by more than −26% in spring and summer for the 21st century. The annual streamflows present a clear decreasing trend of −27%. Compared with land use/cover change, climate change affects streamflow change more. Land use/cover change can mitigate the climate change effect from January to August and enhance it in other months. These results can provide scientific information for regional water resources management and land use planning in the future.

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Dong, Leihua, Lihua Xiong, Upmanu Lall, and Jiwu Wang. "The effects of land use change and precipitation change on direct runoff in Wei River watershed, China." Water Science and Technology 71, no. 2 (December 16, 2014): 289–95. http://dx.doi.org/10.2166/wst.2014.510.

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The principles and degrees to which land use change and climate change affect direct runoff generation are distinctive. In this paper, based on the MODIS data of land use in 1992 and 2003, the impacts of land use and climate change are explored using the Soil Conservation Service Curve Number (SCS-CN) method under two defined scenarios. In the first scenario, the precipitation is assumed to be constant, and thus the consequence of land use change could be evaluated. In the second scenario, the condition of land use is assumed to be constant, so the influence only induced by climate change could be assessed. Combining the conclusions of two scenarios, the effects of land use and climate change on direct runoff volume can be separated. At last, it is concluded: for the study basin, the land use types which have the greatest effect on direct runoff generation are agricultural land and water body. For the big sub basins, the effect of land use change is generally larger than that of climate change; for middle and small sub basins, most of them suffer more from land use change than from climate change.

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Liu, Fu-hong, Chong-Yu Xu, Xiao-xia Yang, and Xu-chun Ye. "Controls of Climate and Land-Use Change on Terrestrial Net Primary Productivity Variation in a Subtropical Humid Basin." Remote Sensing 12, no. 21 (October 28, 2020): 3525. http://dx.doi.org/10.3390/rs12213525.

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Knowledge of vegetation dynamics in relation to climatic changes and human activities is essential for addressing the terrestrial carbon cycle in the context of global warming. Scientific detection and quantitative attribution of vegetation dynamic changes in different climatic zones and human activities are the focus and challenge of the relevant research. Taking the Poyang Lake basin as the research area, this study aimed to reveal how climate and land use drive changes in net primary productivity (NPP) in the subtropical humid basin. Change patterns of vegetation NPP and their relationships with meteorological factors across the basin were first investigated based on the estimation of 18 year (2000–2017 year) NPP by using a typical light energy utilization model, the Carnegie-Ames-Stanford Approach (CASA) model. Quantitative analysis was then conducted to explicitly distinguish the driving effects of climate change and land-use change on NPP dynamics in two different periods. Results show that annual NPP and total production (TP) of the Poyang Lake basin increased significantly from 2000 to 2017. During this period, land-use change in the basin was driven by the process of urbanization expansion and the efforts of ecological protection. Climatically, the temperature is the major influencing climatic factor in determining vegetation productivity in the subtropical humid basin, followed by precipitation and solar radiation. In addition, our investigation also revealed that with comparison to the period of 2000s, the increased TP of the Poyang Lake basin due to climate change in 2010s was much bigger than the decreased TP due to land-use change. However, in the areas where the land-use change occurred, the decreased TP was mainly attributed to the impact of land-use change, even though climate change showed a positive effect of increasing productivity.

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Sun, Fubao, Michael L. Roderick, and Graham D. Farquhar. "Rainfall statistics, stationarity, and climate change." Proceedings of the National Academy of Sciences 115, no. 10 (February 20, 2018): 2305–10. http://dx.doi.org/10.1073/pnas.1705349115.

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There is a growing research interest in the detection of changes in hydrologic and climatic time series. Stationarity can be assessed using the autocorrelation function, but this is not yet common practice in hydrology and climate. Here, we use a global land-based gridded annual precipitation (hereafter P) database (1940–2009) and find that the lag 1 autocorrelation coefficient is statistically significant at around 14% of the global land surface, implying nonstationary behavior (90% confidence). In contrast, around 76% of the global land surface shows little or no change, implying stationary behavior. We use these results to assess change in the observed P over the most recent decade of the database. We find that the changes for most (84%) grid boxes are within the plausible bounds of no significant change at the 90% CI. The results emphasize the importance of adequately accounting for natural variability when assessing change.

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Searchinger, Timothy D., Stefan Wirsenius, Tim Beringer, and Patrice Dumas. "Assessing the efficiency of changes in land use for mitigating climate change." Nature 564, no. 7735 (December 2018): 249–53. http://dx.doi.org/10.1038/s41586-018-0757-z.

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Journal articles on the topic 'Climate change and land use change'

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