Alpi ristiku (Trifolium alpestre L.) paljunemisedukus levila põhjapiiril Viidumäel
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Kuupäev
2014
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Ajakirja pealkiri
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Abstrakt
Käesolevas töös uuritakse Eestis haruldase ning siin oma areaali põhjapiiril, ainult
Lääne-Saaremaal elava alpi ristiku (Trifolium alpestre L.) paljunemisedukust.
Töö eesmärgiks on välja selgitada, kuidas on Eesti alpi ristiku populatsioonides
paljunemisedukus mõjutatud populatsioonide ökoloogilistest tingimustest, eelkõige
valgustatusest. Selleks hinnati populatsioonides õitsvate võsude tihedust, võsude
pikkust, õite, õisikute ning seemnete arvu.
Töö käigus uuriti seitset populatsiooni, mis asusid Viidumäel ja selle ümbruses, kus
liik on kõige arvukam. Populatsioonides mõõdeti kasvukoha avatus, pinnase
niiskusesisaldus, taimede kõrgus, loendati taimed ning õisikud. Hilisemal käigul korjati
enamikest populatsioonidest kahekümnel võsul õisikud, kuivatati ning loendati laboris
õied ja seemned.
Andmete analüüsiks kasutati statistika programmi Statistica (StatSoft 2012), mõõdetud
ja loendatud tunnuste ning keskkonnatingimuste erinevuste leidmiseks populatsioonide
vahel tehti ühefaktoriline dispersioonanalüüs (ANOVA). Täpsustamaks, millised
populatsioonidest on omavahel uuritavate tunnuste poolest statistiliselt erinevad, tehti
Tukey post-hoc test ning kahe pideva muutuja omavahelise seose leidmiseks kasutati
lineaarset regressioonanalüüsi.
Töö tulemustest selgub, et alpi ristiku paljunemisedukus sõltub valgustingimustest
uuritavates populatsioonides.
In this bachelor thesis reproductive success of the very rare in Estonia alpine clover (Trifolium alpestre L.) is studied. The species occurs here only in Western-Saaremaa, where it grows on the northern border of its distribution area. The aim of this thesis is to explain, how is Estonian alpine clover’s reproductive success affected by ecological conditions of the populations, especially considering the light that the plants get. For that density and length of the shoots in the populations were measured and number of blooms, flowerheads and seeds counted. For the study 7 populations located in Viidumäe and around it were observed. In this area the species is most abundant. In the populations humidity of the soil, light conditions and length of the plants were measured. Also the plants and flowerheads were counted. Later, from most of the populations from randomly selected 20 shoots flowerheads were picked and dried. Blooms and seeds were counted later in the lab. Statistical program Statistica (StatSoft 2012) was used to analyse the collected data. To find out differences between the populations different variables (measured, counted and environmental conditions) were used and tested with one-way ANOVA. To specify which populations were statistically different from others Tukey post-hoc test was made. For studying relations between continuous variables linear regression analysis was used. Results show that reproductive success of alpine clover in the populations observed is affected by light conditions.
In this bachelor thesis reproductive success of the very rare in Estonia alpine clover (Trifolium alpestre L.) is studied. The species occurs here only in Western-Saaremaa, where it grows on the northern border of its distribution area. The aim of this thesis is to explain, how is Estonian alpine clover’s reproductive success affected by ecological conditions of the populations, especially considering the light that the plants get. For that density and length of the shoots in the populations were measured and number of blooms, flowerheads and seeds counted. For the study 7 populations located in Viidumäe and around it were observed. In this area the species is most abundant. In the populations humidity of the soil, light conditions and length of the plants were measured. Also the plants and flowerheads were counted. Later, from most of the populations from randomly selected 20 shoots flowerheads were picked and dried. Blooms and seeds were counted later in the lab. Statistical program Statistica (StatSoft 2012) was used to analyse the collected data. To find out differences between the populations different variables (measured, counted and environmental conditions) were used and tested with one-way ANOVA. To specify which populations were statistically different from others Tukey post-hoc test was made. For studying relations between continuous variables linear regression analysis was used. Results show that reproductive success of alpine clover in the populations observed is affected by light conditions.
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