Three Principles of Soil Change and Pedogenesis in Time and Space

Lin, Henry

doi:10.2136/sssaj2011.0130

Cited by 111 publications

(74 citation statements)

References 142 publications

(210 reference statements)

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“…Fresh C inputs and the creation of preferential flow paths due to the mineralization of root biomass, which can persist for many years following the harvest of trees [31], and increases in DOC flux due to additional organic matter inputs and decreased transpiration and rain interception [29,30] could have increased SOC decomposition via priming post-thinning [23][24][25][32][33][34]. The soil sampled in the current study may be particularly vulnerable to rapid SOC decomposition when subjected to changing environmental conditions and potential priming effects, as it is an older soil that likely developed and accrued SOC over hundreds of thousands to millions of years under relatively stable conditions [19,[23][24][25][26][27][28]77].…”

Section: Discussionmentioning

confidence: 99%

Thinning Treatments Reduce Deep Soil Carbon and Nitrogen Stocks in a Coastal Pacific Northwest Forest

Gross

James

Turnblom

et al. 2018

Forests

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Forests provide valuable ecosystem and societal services, including the sequestration of carbon (C) from the atmosphere. Management practices can impact both soil C and nitrogen (N) cycling. This study examines soil organic C (SOC) and N responses to thinning and fertilization treatments. Soil was sampled at an intensively managed Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) plantation in north-western Oregon, USA. Management regimes-thinning, fertilization plus thinning, and no (control) treatment-were randomly assigned to nine 0.2-ha plots established in 1989 in a juvenile stand. Prior to harvest, forest floor and soil bulk density and chemical analysis samples were collected by depth to 150 cm. During a single rotation of~40 years, thinning treatments significantly reduced SOC and N stocks by 25% and 27%, respectively, compared to no treatment. Most of this loss occurred in deeper soil layers (below~20 cm). Fertilization plus thinning treatments also reduced SOC and N stocks, but not significantly. Across all management regimes, deeper soil layers comprised the majority of SOC and N stocks. This study shows that: (1) accurately quantifying and comparing SOC and N stocks requires sampling deep soil; and (2) forest management can substantially impact both surface and deep SOC and N stocks on decadal timescales.

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Section: Discussionmentioning

confidence: 99%

Thinning Treatments Reduce Deep Soil Carbon and Nitrogen Stocks in a Coastal Pacific Northwest Forest

Gross

James

Turnblom

et al. 2018

Forests

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“…There is a need to explicitly incorporate chemical and biological weathering (Green et al, 2006;Lin, 2011;Riebe et al, 2004;Roering et al, 2002;Vanwalleghem et al, 2013). Another important aspect needed is accounting for deposition of sediments so that we can model alluvial soils which requires a transport-limited erosion model.…”

Section: Discussionmentioning

confidence: 99%

“…The importance of soil as an agricultural and commercial resource, and as an influencing factor on environmental processes such as climate regulation, is well established (Jenny, 1941;Bryan, 2000;Strahler and Strahler, 2006;Lin, 2011). However, spatially distributed quantification of soil properties is difficult because of the complexity and dynamic nature of the soil system itself (Hillel, 1982).…”

Section: Introductionmentioning

confidence: 99%

Exploring the sensitivity on a soil area-slope-grading relationship to changes in process parameters using a pedogenesis model

et al. 2016

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Abstract. This paper generalises the physical dependence of the relationship between contributing area, local slope, and the surface soil grading using a pedogenesis model and allows an exploration of soilscape selforganisation. A parametric study was carried out using different parent materials, erosion, and weathering mechanisms. These simulations confirmed the generality of the area-slope-d 50 relationship. The relationship is also true for other statistics of soil grading (e.g. d 10 ,d 90 ) and robust for different depths within the profile. For small area-slope regimes (i.e. hillslopes with small areas and/or slopes) only the smallest particles can be mobilised by erosion and the area-slope-d 50 relationship appears to reflect the erosion model and its Shield's Stress threshold. For higher area-slope regimes, total mobilization of the entire soil grading occurs and self-organisation reflects the relative entrainment of different size fractions. Occasionally the interaction between the in-profile weathering and surface erosion draws the bedrock to the surface and forms a bedrock outcrop. The study also shows the influence on different depth-dependent in-profile weathering functions in the formation of the equilibrium soil profile and the grading characteristics of the soil within the profile. We outline the potential of this new model and its ability to numerically explore soil and landscape properties.

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“…В тоже время, в почвоведении отмечается, что многие параметры, которыми описывается почва, взаимосвязаны и взаимозависимы. Развитие концептуальных моделей комплексного изменения параметров почвы в процессе педогенеза рассмотрено в обзоре [11]. Взаимосвязанность почвенных характеристик даёт основание для поисков функциональных связей между параметрами почвы.…”

Section: Introductionunclassified

Neural Network Analysis of Interdependences of the Top-soil Parameters

Барцев¹

2012

Math.Biol.Bioinf.

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Аннотация. Для оценки возможности редукции количества почвенных показателей при описании общего количества органического веществ в почве (ОВП) проведен нейросетевой анализ региональных почвенных баз данных. Показано, что для качественного прогноза содержания ОВП достаточно двух-трех почвенных показателей. При этом для реализации этого прогноза достаточно, чтобы нейронная сеть состояла из четырех нейронов. Полученные результаты указывают на возможность представления выявленных зависимостей в виде относительно простых математических формул. Это дает основание рассчитывать, если не на простоту возможной математической модели формирования почвы, то на простой вид зависимости стационарных состояний этой модели от рассмотренных в работе почвенных показателей.Ключевые слова: нейросетевой анализ параметров почвы, запасы органического углерода почвы. ВВЕДЕНИЕЗадачи прогнозирования реакции почвенного покрова на внешние воздействия приобретают особую актуальность в условиях глобального изменения климата. Однако построение математических моделей, описывающих динамику почв, осложнено отсутствием данных о реальной динамике почвенных показателей на протяжении характерных времен порядка 500 лет. Модели почвообразования, как правило, содержат значительное количество параметров. Вместе с тем, чем проще математическая модель, описывающая реальную систему, тем больший вклад она вносит в понимание механизмов функционирования исследуемой системы и тем больше возможностей ее практического применения. Поэтому актуальна задача выбора минимально необходимого набора независимых факторов, позволяющего адекватно описывать почвенные процессы.Для моделирования процессов формирования почвы широко применяются балансовые модели и линейные кинетические модели трансформации почвенного органического вещества (далее ОВП) [1]. В балансовых моделях почва описывается как совокупность блоков-резервуаров, связанных потоками вещества. Примером такой модели может быть минерализационно-гумификационная подсистема цикла углерода в * bartsev@yandex

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Three Principles of Soil Change and Pedogenesis in Time and Space

Cited by 111 publications

References 142 publications

Thinning Treatments Reduce Deep Soil Carbon and Nitrogen Stocks in a Coastal Pacific Northwest Forest

Thinning Treatments Reduce Deep Soil Carbon and Nitrogen Stocks in a Coastal Pacific Northwest Forest

Exploring the sensitivity on a soil area-slope-grading relationship to changes in process parameters using a pedogenesis model

Neural Network Analysis of Interdependences of the Top-soil Parameters

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