Soil mineral nitrogen changes following prescribed burning in ponderosa pine

Covington, W. Wallace; Sackett, Stephen S.

doi:10.1016/0378-1127(92)90011-w

Cited by 194 publications

(145 citation statements)

References 14 publications

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“…The unburned control plot procedure established an unburned reference to compute VRI for each burn severity level. As the evolution in time of these three VRI time series showed different vegetation cover recovery patterns, it was concluded that burn severity has a great impact on the capability of a system to recover to its initial conditions, as previous studies showed (Covington and Sackett, 1992;Maia et al, 2012;Neary et al, 1999;Röder et al, 2008;Smithwick et al, 2005).…”

Section: U N C O R R E C T E D P R O O Fmentioning

confidence: 81%

“…Silva et al, 2011). Nevertheless, among the extrinsic factors that can modify the potential of an ecosystem to recover (resilience), burn severity understood as a measure of fire damage on vegetation cover is one of the most important (Bastos et al, 2011;Covington and Sackett, 1992;Neary et al, 1999;Röder et al, 2008;Smithwick et al, 2005).…”

Section: U N C O R R E C T E D P R O O Fmentioning

confidence: 99%

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Burn severity influence on post-fire vegetation cover resilience from Landsat MESMA fraction images time series in Mediterranean forest ecosystems

Fernández–Manso

Quintano

Roberts

2016

Remote Sensing of Environment

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Mediterranean ecosystems are adapted to recurrent forest fires by having regeneration mechanisms that overcome the immediate effects of fire. However, the increasing frequency of fires in most European Mediterranean countries is challenging the natural regrowth capability of these ecosystems. In this context, monitoring post-fire vegetation recovery is a priority for forest management and soil erosion control. In this work, a 13-year series (1999-2011) of Landsat 5 Thematic Mapper (TM)/Landsat 7 Enhanced Thematic Mapper (ETM +) data was used to model post-fire vegetation recovery as a function of burn severity and to quantify post-fire resilience as a measure of vegetation cover regrowth. We evaluated a large forest fire located in Spain that burned approximately 30 km 2 of Pinus pinaster Ait. in August 1998. 88 field plots of four burn severity levels (unburned, low, moderate and high) were measured in the field a year after the fire. As a variable representative of vegetation, we chose the shade normalized green vegetation fraction image (SGV) obtained by applying Multiple Endmember Spectral Mixture Analysis (MESMA) to the original Landsat TM/ETM + images. The SGV values were extracted for the 88 field plots and, after performing a one-way analysis of variance (ANOVA), a Fisher's Least Significant Difference (LSD) test allowed us to estimate resilience of vegetation cover as the number of post-fire years exhibiting a statistically significant difference between burned and unburned areas. Next, SGV values were referenced to unburned control plots values and the vegetation recovery index (VRI) was defined. The evolution in time curve of VRI for low, moderate and highly fire affected vegetation was fit using trend models (specifically, an exponential trend for VRI in high and moderate burn severity levels; a linear trend for low burn severity level, Root Mean Square Error, RMSE = 0.18, 0.13, and 0.09, respectively). We observed that vegetation cover affected by low severity fire recovered to its original state after 7 years, and vegetation cover affected by moderate severity recovered after 13 years. Vegetation affected by high severity fire was estimated to recover after 20 years. We conclude that VRI time series based on multitemporal MESMA fractions from Landsat data can be considered a valuable indicator of the post-fire vegetation cover recovery. Its temporal evolution represented post-fire vegetation cover regrowth adequately and facilitated the estimate of vegetation cover resilience in Mediterranean forests.

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Section: U N C O R R E C T E D P R O O Fmentioning

confidence: 81%

Section: U N C O R R E C T E D P R O O Fmentioning

confidence: 99%

Burn severity influence on post-fire vegetation cover resilience from Landsat MESMA fraction images time series in Mediterranean forest ecosystems

Fernández–Manso

Quintano

Roberts

2016

Remote Sensing of Environment

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“…The investigation of wildfire or prescribed burning on the soil ammonium-N and nitrate-N had demonstrated that both inorganic N increased immediately after the fire, but these improvements were dissipated in 1 year or more post-fire (Covington et al, 1991;Covington and Sackett, 1992;Smith et al, 2008). The CCA results showed a positive correlation between soil nitrate-N and dominant AOA genotypes (JF520847, JF520868 and JF520885) (Fig.…”

Section: Effects Of Long-term Prescribed Burning On Aob and Aoa Commumentioning

confidence: 95%

Shifts in the abundance and community structure of soil ammonia oxidizers in a wet sclerophyll forest under long-term prescribed burning

Long

Chen

et al. 2014

Science of The Total Environment

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• We examined how fires affected the abundances and communities of soil AOB and AOA.• A long-term repeated forest fire experiment was investigated.• Fires increased the abundance of bacterium amoA genes, but not archaeal amoA genes.• Fire also modified the composition of AOA and AOB communities.• AOB genotype was affected by soil pH and DOC, while AOA by nitrate-N and DOC. a b s t r a c t a r t i c l e i n f o Fire shapes global biome distribution and promotes the terrestrial biogeochemical cycles. Ammonia-oxidizing bacteria (AOB) and archaea (AOA) play a vital role in the biogeochemical cycling of nitrogen (N). However, behaviors of AOB and AOA under long-term prescribed burning remain unclear. This study was to examine how fire affected the abundances and communities of soil AOB and AOA. A long-term repeated forest fire experiment with three burning treatments (never burnt, B0; biennially burnt, B2; and quadrennially burnt, B4) was used in this study. The abundances and community structure of soil AOB and AOA were determined using quantitative PCR, restriction fragment length polymorphism and clone library. More frequent fires (B2) increased the abundance of bacterium amoA gene, but tended to decrease archaeal amoA genes. Fire also modified the composition of AOA and AOB communities. Canonical correspondence analysis showed soil pH and dissolved organic C (DOC) strongly affected AOB genotypes, while nitrate-N and DOC shaped the AOA distribution. The increased abundance of bacterium amoA gene by fires may imply an important role of AOB in nitrification in fire-affected soils. The fire-induced shift in the community composition of AOB and AOA demonstrates that fire can disturb nutrient cycles.

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“…1b). High nitrification rates or potential seems to be widespread in western forests (Hart and Firestone 1989, Frazer et al 1990, Powers 1990, Covington and Sackett 1992, Stark and Hart 1996, chaparral (Riggan et al 1985, Klemmedson and Wienhold 1992, Fenn et al 1993, and grasslands ), even with low N deposition rates. In California, temporal asynchrony between the major hydrologic Ecological Applications Vol.…”

Section: California Forestsmentioning

confidence: 99%

Nitrogen Excess in North American Ecosystems: Predisposing Factors, Ecosystem Responses, and Management Strategies

Fenn¹,

Poth²,

Aber³

et al. 1998

Ecological Applications

328

492

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Abstract. Most forests in North America remain nitrogen limited, although recent studies have identified forested areas that exhibit symptoms of N excess, analogous to overfertilization of arable land. Nitrogen excess in watersheds is detrimental because of disruptions in plant/soil nutrient relations, increased soil acidification and aluminum mobility, increased emissions of nitrogenous greenhouse gases from soil, reduced methane consumption in soil, decreased water quality, toxic effects on freshwater biota, and eutrophication of coastal marine waters. Elevated nitrate ( ) loss to groundwater Ϫ

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Soil mineral nitrogen changes following prescribed burning in ponderosa pine

Cited by 194 publications

References 14 publications

Burn severity influence on post-fire vegetation cover resilience from Landsat MESMA fraction images time series in Mediterranean forest ecosystems

Burn severity influence on post-fire vegetation cover resilience from Landsat MESMA fraction images time series in Mediterranean forest ecosystems

Shifts in the abundance and community structure of soil ammonia oxidizers in a wet sclerophyll forest under long-term prescribed burning

Nitrogen Excess in North American Ecosystems: Predisposing Factors, Ecosystem Responses, and Management Strategies

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