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Mapping gains and losses in woody vegetation across global tropical drylands

Tian, Feng LU ; Brandt, Martin; Liu, Yi Y.; Rasmussen, Kjeld and Fensholt, Rasmus (2017) In Global Change Biology 23(4). p.1748-1760
Abstract

Woody vegetation in global tropical drylands is of significant importance for both the interannual variability of the carbon cycle and local livelihoods. Satellite observations over the past decades provide a unique way to assess the vegetation long-term dynamics across biomes worldwide. Yet, the actual changes in the woody vegetation are always hidden by interannual fluctuations of the leaf density, because the most widely used remote sensing data are primarily related to the photosynthetically active vegetation components. Here, we quantify the temporal trends of the nonphotosynthetic woody components (i.e., stems and branches) in global tropical drylands during 2000–2012 using the vegetation optical depth (VOD), retrieved from... (More)

Woody vegetation in global tropical drylands is of significant importance for both the interannual variability of the carbon cycle and local livelihoods. Satellite observations over the past decades provide a unique way to assess the vegetation long-term dynamics across biomes worldwide. Yet, the actual changes in the woody vegetation are always hidden by interannual fluctuations of the leaf density, because the most widely used remote sensing data are primarily related to the photosynthetically active vegetation components. Here, we quantify the temporal trends of the nonphotosynthetic woody components (i.e., stems and branches) in global tropical drylands during 2000–2012 using the vegetation optical depth (VOD), retrieved from passive microwave observations. This is achieved by a novel method focusing on the dry season period to minimize the influence of herbaceous vegetation and using MODerate resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) data to remove the interannual fluctuations of the woody leaf component. We revealed significant trends (P < 0.05) in the woody component (VODwood) in 35% of the areas characterized by a nonsignificant trend in the leaf component (VODleaf modeled from NDVI), indicating pronounced gradual growth/decline in woody vegetation not captured by traditional assessments. The method is validated using a unique record of ground measurements from the semiarid Sahel and shows a strong agreement between changes in VODwood and changes in ground observed woody cover (r2 = 0.78). Reliability of the obtained woody component trends is also supported by a review of relevant literatures for eight hot spot regions of change. The proposed approach is expected to contribute to an improved assessment of, for example, changes in dryland carbon pools.

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author
publishing date
type
Contribution to journal
publication status
published
keywords
deforestation, drylands, nonphotosynthetic woody component, remote sensing, shrub encroachment, trend analysis, wood biomass, woody vegetation
in
Global Change Biology
volume
23
issue
4
pages
13 pages
publisher
Wiley-Blackwell
external identifiers
  • scopus:84984820108
ISSN
1354-1013
DOI
10.1111/gcb.13464
language
English
LU publication?
no
id
3a0fca26-fd9c-41f6-9d28-337e51691ee2
date added to LUP
2018-06-08 14:25:57
date last changed
2018-10-03 10:40:38
@article{3a0fca26-fd9c-41f6-9d28-337e51691ee2,
  abstract     = {<p>Woody vegetation in global tropical drylands is of significant importance for both the interannual variability of the carbon cycle and local livelihoods. Satellite observations over the past decades provide a unique way to assess the vegetation long-term dynamics across biomes worldwide. Yet, the actual changes in the woody vegetation are always hidden by interannual fluctuations of the leaf density, because the most widely used remote sensing data are primarily related to the photosynthetically active vegetation components. Here, we quantify the temporal trends of the nonphotosynthetic woody components (i.e., stems and branches) in global tropical drylands during 2000–2012 using the vegetation optical depth (VOD), retrieved from passive microwave observations. This is achieved by a novel method focusing on the dry season period to minimize the influence of herbaceous vegetation and using MODerate resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) data to remove the interannual fluctuations of the woody leaf component. We revealed significant trends (P &lt; 0.05) in the woody component (VOD<sub>wood</sub>) in 35% of the areas characterized by a nonsignificant trend in the leaf component (VOD<sub>leaf</sub> modeled from NDVI), indicating pronounced gradual growth/decline in woody vegetation not captured by traditional assessments. The method is validated using a unique record of ground measurements from the semiarid Sahel and shows a strong agreement between changes in VOD<sub>wood</sub> and changes in ground observed woody cover (r<sup>2</sup> = 0.78). Reliability of the obtained woody component trends is also supported by a review of relevant literatures for eight hot spot regions of change. The proposed approach is expected to contribute to an improved assessment of, for example, changes in dryland carbon pools.</p>},
  author       = {Tian, Feng and Brandt, Martin and Liu, Yi Y. and Rasmussen, Kjeld and Fensholt, Rasmus},
  issn         = {1354-1013},
  keyword      = {deforestation,drylands,nonphotosynthetic woody component,remote sensing,shrub encroachment,trend analysis,wood biomass,woody vegetation},
  language     = {eng},
  month        = {04},
  number       = {4},
  pages        = {1748--1760},
  publisher    = {Wiley-Blackwell},
  series       = {Global Change Biology},
  title        = {Mapping gains and losses in woody vegetation across global tropical drylands},
  url          = {http://dx.doi.org/10.1111/gcb.13464},
  volume       = {23},
  year         = {2017},
}