Hot Spots Of Soil Respiration In A Seasonally Dry Tropical Forest In Southern Vietnam: A Brief Study Of Spatial Distribution

Many studies report  asymmetrical  spatial distribution  of soil respiration caused by presence of areas with significantly higher emission rates (so-called hot spots). For seasonally dry tropical  forest soil respiration  was measured on 1 ha plot with 20m, 5m and 1 m scale in the first half of dry...

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Main Authors: Vitaly K. Avilov, Dmitry G. Ivanov, Konstantin K. Avilov, Ivan P. Kotlov, Nguyen Van Thinh, Do Phong Luu, Julia A. Kurbatova
Format: Article
Language:English
Published: Lomonosov Moscow State University 2019-07-01
Series:Geography, Environment, Sustainability
Subjects:
Online Access:https://ges.rgo.ru/jour/article/view/745
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author Vitaly K. Avilov
Dmitry G. Ivanov
Konstantin K. Avilov
Ivan P. Kotlov
Nguyen Van Thinh
Do Phong Luu
Julia A. Kurbatova
author_facet Vitaly K. Avilov
Dmitry G. Ivanov
Konstantin K. Avilov
Ivan P. Kotlov
Nguyen Van Thinh
Do Phong Luu
Julia A. Kurbatova
author_sort Vitaly K. Avilov
collection DOAJ
description Many studies report  asymmetrical  spatial distribution  of soil respiration caused by presence of areas with significantly higher emission rates (so-called hot spots). For seasonally dry tropical  forest soil respiration  was measured on 1 ha plot with 20m, 5m and 1 m scale in the first half of dry season. 457 measurements made in 9 series at 54 sampling points. The results suggest  that lognormal  spatial distribution  model appears to be much more supported  rather than the normal one. A statistical method  proposed for estimation the mean value and its confidence  interval of lognormally distributed data. The mean emission rate E(RS) for the lognormal distribution amounted  to 4.28 µmol m-2 s-1, the 95% confidence  interval is 3.93 to 4.76 µmol m-2 s-1. However, the standard sample mean can be used as an estimator of the mean of lognormally distributed values of soil respiration  if their coefficient  of variance remains approximately the same as in our study (CV=0.35).  Based on the data obtained and literature  sources,  recommendations  are given on the number of sampling  points for estimating the spatial average value with a given accuracy.
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spelling doaj.art-b2fd3db72c5544cbba8e65441ff220cd2023-03-13T07:52:33ZengLomonosov Moscow State UniversityGeography, Environment, Sustainability2071-93882542-15652019-07-0112217318210.24057/2071-9388-2018-87390Hot Spots Of Soil Respiration In A Seasonally Dry Tropical Forest In Southern Vietnam: A Brief Study Of Spatial DistributionVitaly K. Avilov0Dmitry G. Ivanov1Konstantin K. Avilov2Ivan P. Kotlov3Nguyen Van Thinh4Do Phong Luu5Julia A. Kurbatova6A.N. Severtsov Institute of Ecology and Evolution RAS; Joint Russian-Vietnamese tropical research center, Soutern branchA.N. Severtsov Institute of Ecology and Evolution RAS; Joint Russian-Vietnamese tropical research center, Soutern branchMarchuk Institute for Numerical Mathematics RASA.N. Severtsov Institute of Ecology and Evolution RAS; Joint Russian-Vietnamese tropical research center, Soutern branchJoint Russian-Vietnamese tropical research center, Soutern branchJoint Russian-Vietnamese tropical research center, Soutern branchA.N. Severtsov Institute of Ecology and Evolution RASMany studies report  asymmetrical  spatial distribution  of soil respiration caused by presence of areas with significantly higher emission rates (so-called hot spots). For seasonally dry tropical  forest soil respiration  was measured on 1 ha plot with 20m, 5m and 1 m scale in the first half of dry season. 457 measurements made in 9 series at 54 sampling points. The results suggest  that lognormal  spatial distribution  model appears to be much more supported  rather than the normal one. A statistical method  proposed for estimation the mean value and its confidence  interval of lognormally distributed data. The mean emission rate E(RS) for the lognormal distribution amounted  to 4.28 µmol m-2 s-1, the 95% confidence  interval is 3.93 to 4.76 µmol m-2 s-1. However, the standard sample mean can be used as an estimator of the mean of lognormally distributed values of soil respiration  if their coefficient  of variance remains approximately the same as in our study (CV=0.35).  Based on the data obtained and literature  sources,  recommendations  are given on the number of sampling  points for estimating the spatial average value with a given accuracy.https://ges.rgo.ru/jour/article/view/745soil respirationcarbon emissionhot spotstropical forestspatial variabilitysample size
spellingShingle Vitaly K. Avilov
Dmitry G. Ivanov
Konstantin K. Avilov
Ivan P. Kotlov
Nguyen Van Thinh
Do Phong Luu
Julia A. Kurbatova
Hot Spots Of Soil Respiration In A Seasonally Dry Tropical Forest In Southern Vietnam: A Brief Study Of Spatial Distribution
Geography, Environment, Sustainability
soil respiration
carbon emission
hot spots
tropical forest
spatial variability
sample size
title Hot Spots Of Soil Respiration In A Seasonally Dry Tropical Forest In Southern Vietnam: A Brief Study Of Spatial Distribution
title_full Hot Spots Of Soil Respiration In A Seasonally Dry Tropical Forest In Southern Vietnam: A Brief Study Of Spatial Distribution
title_fullStr Hot Spots Of Soil Respiration In A Seasonally Dry Tropical Forest In Southern Vietnam: A Brief Study Of Spatial Distribution
title_full_unstemmed Hot Spots Of Soil Respiration In A Seasonally Dry Tropical Forest In Southern Vietnam: A Brief Study Of Spatial Distribution
title_short Hot Spots Of Soil Respiration In A Seasonally Dry Tropical Forest In Southern Vietnam: A Brief Study Of Spatial Distribution
title_sort hot spots of soil respiration in a seasonally dry tropical forest in southern vietnam a brief study of spatial distribution
topic soil respiration
carbon emission
hot spots
tropical forest
spatial variability
sample size
url https://ges.rgo.ru/jour/article/view/745
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