Evaluation of forest management impacts on understory and overstory vegetation cover, runoff, and sediment yield in a northern New Mexico forest
Başlık çevirisi mevcut değil.
- Tez No: 403153
- Danışmanlar: DR. ALEXANDER FERNALD
- Tez Türü: Yüksek Lisans
- Konular: Su Ürünleri, Aquatic Products
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2015
- Dil: İngilizce
- Üniversite: New Mexico State University
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: 95
Özet
Özet yok.
Özet (Çeviri)
Fire suppression techniques over the last century have increased tree densities and altered the ecological processes of montane forests within New Mexico. Alternative forest silviculture treatments might reduce wildfire risk and improve water yield and herbaceous cover. This study's goals were to 1) determine how forest silvicultural thinning treatments affect understory and overstory vegetation cover and 2) determine how forest silvicultural treatments affect runoff and sediment yield. Thinning treatments were a control, pile, innerspace (space between piles), and lop-scatter. The effect of treatments on herbaceous and overstory cover were assessed with a fixed-plot layout at treatment sites, where 2014 post-treatment results were compared to 2008 post-treatment measurements. Runoff and sediment yield were measured utilizing one-hour rainfall simulations at the runoff ring scale (1 m2). Results showed forest thinning treatments significantly impacted herbaceous vegetation cover, litter cover, bare cover, and canopy cover. In lop-scatter treatments, vegetation cover and canopy cover were higher in 2014 than in 2008. Inner-space plots showed higher bare ground cover percent than in pile and in lop-scatter areas. Litter cover from the control plots resulted in higher cover than both lop-scatter and pile plots on the gentle slopes, while on the steep slopes the cover was only higher than the pile plots. Data suggest that all thinning treatments promote increased vegetative understory cover promote increased vegetative understory cover. There was no significant difference in runoff ratio among the treatments during the dry runs; however, control sites had lower runoff ratios than inner-space, lop-scatter, and pile treatments during the wet runs. During both dry and wet runs, time to runoff initiation was greater on the pile treatments and scatter treatments compared to the control treatments. There were no differences in time to peak runoff among silvicultural treatments during simulated rainfall. During wet runs, sediment yield did not differ by treatment; however, on steep slope sites, sediment yield was higher than on gentle slopes. This study suggests that the combination of thinning and burning silvicultural treatments promotes increased vegetative understory cover; the treatments appear to delay runoff when compared to control plots.
Benzer Tezler
- Dikili ağaç satışlarının üretim süreci açısından değerlendirilmesi (Alanya orman işletme müdürlüğü örneği)
Evaluation of stumpage sales in terms of the harvesting process (case of Alanya directorate of forest enterprise)
RECEP HASAN ŞAHİN
Yüksek Lisans
Türkçe
2023
Ormancılık ve Orman MühendisliğiIsparta Uygulamalı Bilimler ÜniversitesiOrman Mühendisliği Ana Bilim Dalı
PROF. DR. MEHMET EKER
- Ekosistem servisleri değerinin mekânsal planlama ile ilişkilendirilmesi
Integration of ecosystem services value into spatial planning
NÜKET İPEK ÇETİN
Doktora
Türkçe
2023
Şehircilik ve Bölge Planlamaİstanbul Teknik ÜniversitesiŞehir ve Bölge Planlama Ana Bilim Dalı
PROF. DR. AZİME TEZER
- İklimlendirme sistemleri üzerinde makine öğrenmesi ile anomali tespiti
Anomaly detection with machine learning on air conditioning systems
REFİK KİBAR
Yüksek Lisans
Türkçe
2023
Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve KontrolSakarya ÜniversitesiBilgisayar Mühendisliği Ana Bilim Dalı
DR. ÖĞR. ÜYESİ MUHAMMED FATİH ADAK
DR. ÖĞR. ÜYESİ KEVSER OVAZ AKPINAR
- Sürdürülebilir bir hammadde olarak meşe palamudu: Tedarik zinciri ağı tasarımı
Utilization of acorns as a sustainable raw material: Supply chain network design
İREM NUR İLBAŞ
Yüksek Lisans
Türkçe
2025
Endüstri ve Endüstri Mühendisliğiİstanbul Teknik ÜniversitesiEndüstri Mühendisliği Ana Bilim Dalı
DOÇ. DR. ŞEYDA SERDAR ASAN
- Makine öğrenmesi yöntemleri ile yangın verilerinin analizi ve sınıflandırılması
Analysis and classification of fire data using machine learning methods
ZEYNEP NAZLI ASLAN
Yüksek Lisans
Türkçe
2025
İlk ve Acil YardımSakarya ÜniversitesiAfet Yönetimi Ana Bilim Dalı
DOÇ. DR. BEYTULLAH EREN