000 | 03316nlm1a2200565 4500 | ||
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001 | 668420 | ||
005 | 20231030042148.0 | ||
035 | _a(RuTPU)RU\TPU\network\39645 | ||
035 | _aRU\TPU\network\38647 | ||
090 | _a668420 | ||
100 | _a20221123a2022 k y0engy50 ba | ||
101 | 0 | _aeng | |
102 | _aCH | ||
135 | _adrcn ---uucaa | ||
181 | 0 | _ai | |
182 | 0 | _ab | |
200 | 1 |
_aThe Demographic Response of Grass Species to Fire Treatments in a Guinean Savanna _fK. F. Koff, A. B. N’Dri, T. Srikanthasamy [et al.] |
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203 |
_aText _celectronic |
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300 | _aTitle screen | ||
320 | _a[References: 73 tit.] | ||
330 | _aFighting tree encroachment using fire promotes C4 perennial grasses but likely affects their demography according to the fire date during the dry season. We analyzed the impact of four fire treatments (early, middle, late and no fire) on the demography of the four dominant perennial grasses (Andropogon canaliculatus, Andropogon schirensis, Hyparrhenia diplandra and Loudetia simplex) in a Guinean savanna of West Africa (Lamto, Cote d’Ivoire). We carried out a yearly demographic monitoring of each grass individual during five years (2015–2019) on three plots by treatment and parametrized a size-classified matrix model with five circumference classes. The results showed that A. schirensis, H. diplandra and L. simplex declined (? < 1.0) under late fire and will disappear after 10 years, as did L. simplex under the middle fire. Stasis influenced the most ? values and stable class distribution was nearly achieved in all species under all treatments. The size of L. simplex should increase under early and late fires. Our results suggest that late fire is the most detrimental fire regime for grasses in this Guinean area, contrary to early and middle fires, which could be recommended to savanna managers. | ||
461 | _tFire | ||
463 |
_tVol. 5, iss. 6 _v[193, 17 p.] _d2022 |
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610 | 1 | _aэлектронный ресурс | |
610 | 1 | _aтруды учёных ТПУ | |
610 | 1 | _afire treatment | |
610 | 1 | _aGuinean savanna | |
610 | 1 | _aperennial grass | |
610 | 1 | _ademography | |
610 | 1 | _apopulation growth rate | |
610 | 1 | _asize-classified matrix model | |
610 | 1 | _aобработка | |
610 | 1 | _aогонь | |
610 | 1 | _aГвинея | |
610 | 1 | _aмноголетние травы | |
610 | 1 | _aдемография | |
610 | 1 | _aрост | |
610 | 1 | _aнаселение | |
610 | 1 | _aматричные модели | |
701 | 1 |
_aKoff _bK. F. _gKouame Fulgence |
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701 | 1 |
_aN’Dri _bA. B. _gAya Brigitte |
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701 | 1 |
_aSrikanthasamy _bT. _gTharaniya |
|
701 | 1 |
_aLata _bZh.-K. (J.-Ch.) _cgeochemist _cAssociate Professor of Tomsk Polytechnic University _f1969- _gZhan-Kristof (Jean-Christophe) _2stltpush _3(RuTPU)RU\TPU\pers\35741 |
|
701 | 1 |
_aKonate _bS. _gSouleymane |
|
701 | 1 |
_aKonan _bM. _gMarcel |
|
701 | 1 |
_aBarot _bS. _gSebastien |
|
712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bИнженерная школа природных ресурсов _bОтделение геологии _h8083 _2stltpush _3(RuTPU)RU\TPU\col\23542 |
801 | 2 |
_aRU _b63413507 _c20221123 _gRCR |
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856 | 4 | _uhttps://doi.org/10.3390/fire5060193 | |
942 | _cCF |