Modeling global human-induced soil degradation and its impacts on water balance

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dc.contributor.authorWang, Pei-Ling
dc.contributor.supervisorFeddema, Johannes
dc.date.accessioned2021-09-01T19:49:28Z
dc.date.copyright2021en_US
dc.date.issued2021-09-01
dc.degree.departmentDepartment of Geographyen_US
dc.degree.levelDoctor of Philosophy Ph.D.en_US
dc.description.abstractSoils are a critical resource for supporting ecosystems, agricultural systems, and human wellbeing. However, these same soils have been degraded by human activities throughout human history. Despite the rapid development of global models that include dynamic changes in land use and land cover (LULC) and biogeochemical processes to assess climate and hydrological impacts, soil properties are often assumed to be spatially or temporally constant. These assumptions can affect the results of model projections, impact assessments and underestimate the human impact on Earth systems. This study reveals the physical impacts of human-altered soil conditions on the global water balance through a meta-analysis study and soil degradation modeling. We link major global LULCs to four hydrologic soil groups: sandy (sand, sandy loam, and loamy sand), loamy (loam, silty loam, and silt)), clayey soils (clay, sandy clay, clay loam, silty clay, and silty clay loam), and sandy clay loam) from 850 to 2015 AD, and identified loamy and clayey soils as the preferred soils for most human land uses. Humans selectively use those soils for intensive agriculture and pasture activities, while grazing occurs on sandier soils. To simulate the impact of human activities on soils, several soil change models were built for soil organic carbon (SOC) content, soil texture (sand, silt, and clay), and soil bulk density from meta-analyses of site observations. The models were applied globally based on the LULC and soil relations, global environmental and soil conditions, and LULC distributions. Pedotransfer functions were applied to estimate soil water-holding capacity using those soil properties, then a Thornthwaite-type water balance model was used to assess the impacts of soil degradation on the global water balance. Results show that under a high-intensity LULC scenario (conventional tillage on croplands and heavy grazing), SOC decreases by 363 Pg and water deficit increases 78 km3 globally. The impacts on SOC and deficit are reduced to 213 Pg and 51 km3, respectively, when reducing land-use intensity by substituting animal ploughing/no-till and light grazing for conventional tillage and heavy grazing. Impacts from other LULC types are identical for these two LULC scenarios. Development of this history between LULC and soil properties allows for improved simulation of human impacts on global water, energy, and biogeochemical cycles. The results of the water balance simulations demonstrate how different soils representations in models can significantly alter the estimates of global evapotranspiration, water deficit, and surplus. This study contributes to developing a better understanding of the processes by which human-induced soil degradation impacts climate/hydrological models and providing a mechanism to better assess the impacts of humans on the Earth system. The outcome will also complement numerous ongoing global studies that evaluate the impacts of climate change on water resources and society.en_US
dc.description.embargo2025-08-09
dc.description.scholarlevelGraduateen_US
dc.identifier.bibliographicCitationWang, P.-L. & Feddema, J. J. Linking global land use/land cover to hydrologic soil groups From 850 to 2015. Global Biogeochem. Cycles 34, e2019GB006356 (2020).en_US
dc.identifier.urihttp://hdl.handle.net/1828/13361
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectsoil degradationen_US
dc.subjectland cover changeen_US
dc.subjectland use changeen_US
dc.subjecthydrological cycleen_US
dc.subjectsoilsen_US
dc.subjectglobalen_US
dc.subjectsoil organic carbonen_US
dc.subjectcomputational methodsen_US
dc.subjectbiogeochemical cyclesen_US
dc.subjectmodelingen_US
dc.titleModeling global human-induced soil degradation and its impacts on water balanceen_US
dc.typeThesisen_US

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