Literature DB >> 11837235

Monitoring land-use change effects on soil carbon in New Zealand: quantifying baseline soil carbon stocks.

N A Scott1, K R Tate, D J Giltrap, C Tattersall Smith, R H Wilde, P F J Newsome, M R Davis.   

Abstract

We designed a soil carbon monitoring system for New Zealand using country-specific land use and soil carbon information. The system pre-stratifies the country by soil type, climate, and land use. Soils were placed in six IPCC soil categories; Podzols were added as they are widespread throughout New Zealand. Temperature was stratified into two categories, each spanning 7 degrees C. Moisture categories were based on water balance, and included five categories. Temperature and moisture stratification was based on the USDA Soil Classification system. Land use (10 categories) was based on 1980s survey data. Overall, 39 combinations of these three factors (cells) described 93% of the New Zealand landscape. Geo-referenced soil carbon data (carbon concentration and bulk density) were used to quantify average soil carbon for each of the 39 cells. Aggregating the polygons gave an estimated 1990 soil carbon baseline of 1152+/-44, 1439+/-73, and 1602+/-167 Mt C (mean+/-S.D.) for the 0-0.1, 0.1-0.3, and 0.3-1.0 m depth increments (not including forest floor carbon). The system described could also be used to quantify equilibrium changes in soil C associated with land-use change if land use is updated periodically.

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Year:  2002        PMID: 11837235     DOI: 10.1016/s0269-7491(01)00249-4

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  3 in total

1.  A Land Use/Land Cover Based Green Development Study for Different Functional Regions in the Jiangsu Province, China.

Authors:  Xiaomin Guo; Xiaowei Chuai; Xianjin Huang
Journal:  Int J Environ Res Public Health       Date:  2019-04-10       Impact factor: 3.390

Review 2.  How to measure, report and verify soil carbon change to realize the potential of soil carbon sequestration for atmospheric greenhouse gas removal.

Authors:  Pete Smith; Jean-Francois Soussana; Denis Angers; Louis Schipper; Claire Chenu; Daniel P Rasse; Niels H Batjes; Fenny van Egmond; Stephen McNeill; Matthias Kuhnert; Cristina Arias-Navarro; Jorgen E Olesen; Ngonidzashe Chirinda; Dario Fornara; Eva Wollenberg; Jorge Álvaro-Fuentes; Alberto Sanz-Cobena; Katja Klumpp
Journal:  Glob Chang Biol       Date:  2019-10-06       Impact factor: 10.863

3.  A protocol to build soil descriptions for APSIM simulations.

Authors:  Rogerio Cichota; Iris Vogeler; Joanna Sharp; Kirsten Verburg; Neil Huth; Dean Holzworth; Neal Dalgliesh; Val Snow
Journal:  MethodsX       Date:  2021-11-06
  3 in total

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