Storage of organic carbon in the soils of Mexican temperate forests

Santini, Nadia S.; Adame, María Fernanda; Nolan, Rachael H.; Miquelajauregui, Yosune; Mastretta‐Yanes, Alicia; Cuervo-Robayo, Ángela P.; Eamus, Derek

doi:10.1016/j.foreco.2019.05.029

Cited by 28 publications

(22 citation statements)

References 81 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Forests comprise a major part of the terrestrial ecosystems, occupying about 30% of the world's land area, and they are the main contributor to carbon (C) emissions and removal [1][2][3]. They store more than 80% of forest aboveground carbon (AGC) in terrestrial ecosystems, more than 70% of global soil organic C [4][5][6] and more than double the amount of C in the atmosphere [7]. As an important part of terrestrial ecosystems, forest ecosystems are a huge global carbon pool and they will likely play a long-term and sustained role in mitigating the impacts of global warming [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Estimating Forest Aboveground Carbon Storage in Hang-Jia-Hu Using Landsat TM/OLI Data and Random Forest Model

Zhang

Zhou

et al. 2019

Forests

View full text Add to dashboard Cite

Dynamic monitoring of carbon storage in forests resources is important for tracking ecosystem functionalities and climate change impacts. In this study, we used multi-year Landsat data combined with a Random Forest (RF) algorithm to estimate the forest aboveground carbon (AGC) in a forest area in China (Hang-Jia-Hu) and analyzed its spatiotemporal changes during the past two decades. Maximum likelihood classification was applied to make land-use maps. Remote sensing variables, such as the spectral band, vegetation indices, and derived texture features, were extracted from 20 Landsat TM and OLI images over five different years (2000, 2004, 2010, 2015, and 2018). These variables were subsequently selected according to their importance and subsequently used in the RF algorithm to build an estimation model of forest AGC. The results showed the following: (1) Verification of classification results showed maximum likelihood can extract land information effectively. Our land cover classification yielded overall accuracies between 86.86% and 89.47%. (2) Additionally, our RF models showed good performance in predicting forest AGC, with R2 from 0.65 to 0.73 in the training and testing phase and a RMSE range between 3.18 and 6.66 Mg/ha. RMSEr in the testing phase ranged from 20.27 to 22.27 with a low model error. (3) The estimation results indicated that forest AGC in the past two decades increased with density at 10.14 Mg/ha, 21.63 Mg/ha, 26.39 Mg/ha, 29.25 Mg/ha, and 44.59 Mg/ha in 2000, 2004, 2010, 2015, and 2018. The total forest AGC storage had a growth rate of 285%. (4) Our study showed that, although forest area decreased in the study area during the time period under study, the total forest AGC increased due to an increment in forest AGC density. However, such an effect is overridden in the vicinity of cities by intense urbanization and the loss of forest covers. Our study demonstrated that the combined use of remote sensing data and machine learning techniques can improve our ability to track the forest changes in support of regional natural resource management practices.

show abstract

Section: Introductionmentioning

confidence: 99%

Estimating Forest Aboveground Carbon Storage in Hang-Jia-Hu Using Landsat TM/OLI Data and Random Forest Model

Zhang

Zhou

et al. 2019

Forests

View full text Add to dashboard Cite

show abstract

“…É importante salientar que o carbono constitui aproximadamente 58% da composição da matéria orgânica do solo. Apesar de representar uma fração pequena (0,5 a 5%) quando comparada à fração mineral do solo, a matéria orgânica é importante para os ecossistemas devido aos benefícios produzidos nas propriedades físicas, químicas e biológicas (SANTINI et al, 2019). Segundo Oliveira Filho et al (2019) em regiões tropicais a conversão de áreas florestais em áreas agrícolas aliado ao cultivo convencional, praticado durante anos consecutivos, é a principal causa da perda de carbono orgânico do solo, logo, essa redução no conteúdo de COS tem efeitos imediatos na capacidade de troca de cátions no meio e disponibilidade de nutrientes (BACCOT et al, 2020).…”

Section: Resultsunclassified

“…No tocante ao carbono orgânico no solo, sabe-se que uma parte considerável se encontra na forma de matéria orgânica. No entanto, o material orgânico no solo pode ser facilmente decomposto quando se realizam práticas de manejo inadequado, contudo, é conhecido que o aumento no estoque de carbono é um processo dinâmico e lento, necessitando de práticas de manejo conservacionistas, principalmente, em regiões de clima tropical, onde a taxa de decomposição é mais acentuada devido às altas temperaturas e umidade do solo (SANTINI et al, 2019).…”

Section: Introductionunclassified

Manejo Do Solo Como Fonte De Alteração Na Dinâmica Do Carbono Orgânico

Oliveira¹,

Sousa²,

Pinheiro³

et al. 2020

Enci Bio

View full text Add to dashboard Cite

RESUMO A conversão dos ecossistemas naturais em áreas agrícolas, geralmente resulta em alterações na dinâmica do carbono do solo. Modificações nos estoques de carbono, pelo uso do solo, tem impactos sobre uma série de mudanças globais no planeta. Nesse sentido, destaca-se que a intervenção antrópica em ecossistemas naturais, por meio da exploração desordenada, tem conduzido a um processo de degradação ambiental significativo. Diante do exposto, objetivou-se avaliar o conteúdo de carbono orgânico do solo em área de mata secundária e de pastagem e sua relação com o estoque de carbono nesses ambientes. As amostras de solo foram coletadas em um Argissolo Vermelho Amarelo localizado no campus da Universidade Federal do Ceará-UFC, Fortaleza-CE, Brasil, nas camadas de 0-10 cm e 10-20 cm para determinação do conteúdo de carbono orgânico e na camada 0-20 cm para avaliação da quantidade desse elemento estocado no solo. A alteração do ecossistema natural ocasionou redução do conteúdo de carbono orgânico do solo na superfície e em profundidade, bem como menor estocagem de carbono orgânico no solo. PALAVRAS-CHAVE: conservação do solo, mudanças climáticas, sequestro de carbono.

show abstract

“…These montane ecosystems are characterized by broadleaf, conifer and cloud forests that occur from ∼1500 m above sea level (masl) and by alpine grasslands which occur > 3700 masl (Rzedowski, 1975;Challenger and Soberón, 2008;Mastretta-Yanes et al, 2015). Both, rural communities and large urban cities occupy surrounding lowland areas, and depend on the services provided by montane ecosystems, such as freshwater supply and soil fertility (e.g., Works and Hadley, 2004;Galicia and García-Romero, 2007;Santini et al, 2019a).…”

Section: Introductionmentioning

confidence: 99%

“…Between 2002 and 2007, montane forests lost 38,712 ha year −1 , and more recently (2007-2011) montane forests are being deforested at 11,670 ha year −1 (Comisión Nacional Forestal, 2018). However, in addition to deforestation, undocumented logging is ongoing and the conversion of montane forests to arable land is expected to increase alongside a rapidly growing population (Mendoza-Ponce et al, 2019;Santini et al, 2019a).…”

Section: Introductionmentioning

confidence: 99%