Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1088/1748-9326/aa7242 |
Going beyond the green: senesced vegetation material predicts basal area and biomass in remote sensing of tree cover conditions in an African tropical dry forest (miombo woodland) landscape | |
Mayes, Marc1,2; Mustard, John2; Melillo, Jerry2; Neill, Christopher3; Nyadzi, Gerson4 | |
2017-08-01 | |
发表期刊 | ENVIRONMENTAL RESEARCH LETTERS
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ISSN | 1748-9326 |
出版年 | 2017 |
卷号 | 12期号:8 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Tanzania |
英文摘要 | In sub-Saharan Africa (SSA), tropical dry forests and savannas cover over 2.5 million km(2) and support livelihoods for millions in fast-growing nations. Intensifying land use pressures have driven rapid changes in tree cover structure (basal area, biomass) that remain poorly characterized at regional scales. Here, we posed the hypothesis that tree cover structure related strongly to senesced and non-photosynthetic (NPV) vegetation features in a SSA tropical dry forest landscape, offering improved means for satellite remote sensing of tree cover structure compared to vegetation greenness-based methods. Across regrowth miombo woodland sites in Tanzania, we analyzed relationships among field data on tree structure, land cover, and satellite indices of green and NPV features based on spectral mixture analyses and normalized difference vegetation index calculated from Landsat 8 data. From satellite-field data relationships, we mapped regional basal area and biomass using NPV and greenness-based metrics, and compared map performances at landscape scales. Total canopy cover related significantly to stem basal area (r(2)= 0.815, p< 0.01) and biomass (r(2)= 0.635, p< 0.01), and NPV dominated ground cover (> 60%) at all sites. From these two conditions emerged a key inverse relationship: skyward exposure of NPV ground cover was high at sites with low tree basal area and biomass, and decreased with increasing stem basal area and biomass. This pattern scaled to Landsat NPV metrics, which showed strong inverse correlations to basal area (Pearson r= -0.85, p< 0.01) and biomass (r= -0.86, p< 0.01). Biomass estimates from Landsat NPV-based maps matched field data, and significantly differentiated landscape gradients in woody biomass that greenness metrics failed to track. The results suggest senesced vegetation metrics at Landsat scales are a promising means for improved monitoring of tree structure across disturbance and ecological gradients in African and other tropical dry forests. |
英文关键词 | Africa forest biomass remote sensing Landsat spectral mixture analysis miombo woodlands tropical dry forest |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000407207400001 |
WOS关键词 | SPECTRAL MIXTURE ANALYSIS ; MULTISPECTRAL IMAGES ; SHIFTING CULTIVATION ; EASTERN TANZANIA ; CANOPY COVER ; LAND-COVER ; ZAMBIA ; DEFORESTATION ; DEGRADATION ; PERFORMANCE |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/26044 |
专题 | 气候变化 |
作者单位 | 1.Brown Univ, Dept Earth Environm & Planetary Sci, 324 Brook St Box 1846, Providence, RI 02912 USA; 2.Marine Biol Lab, Ecosyst Ctr, 7 MBL St, Woods Hole, MA 02543 USA; 3.Woods Hole Res Ctr, 149 Woods Hole Rd, Falmouth, MA 02540 USA; 4.Millennium Promise Tanzania, Mbola Millennium Villages Project, POB 1561, Tabora, Tanzania |
推荐引用方式 GB/T 7714 | Mayes, Marc,Mustard, John,Melillo, Jerry,et al. Going beyond the green: senesced vegetation material predicts basal area and biomass in remote sensing of tree cover conditions in an African tropical dry forest (miombo woodland) landscape[J]. ENVIRONMENTAL RESEARCH LETTERS,2017,12(8). |
APA | Mayes, Marc,Mustard, John,Melillo, Jerry,Neill, Christopher,&Nyadzi, Gerson.(2017).Going beyond the green: senesced vegetation material predicts basal area and biomass in remote sensing of tree cover conditions in an African tropical dry forest (miombo woodland) landscape.ENVIRONMENTAL RESEARCH LETTERS,12(8). |
MLA | Mayes, Marc,et al."Going beyond the green: senesced vegetation material predicts basal area and biomass in remote sensing of tree cover conditions in an African tropical dry forest (miombo woodland) landscape".ENVIRONMENTAL RESEARCH LETTERS 12.8(2017). |
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