Hostname: page-component-cd9895bd7-mkpzs Total loading time: 0 Render date: 2024-12-25T18:37:14.008Z Has data issue: false hasContentIssue false

The effects of restoration on vegetation trends: spatiotemporal variability and influencing factors

Published online by Cambridge University Press:  06 December 2018

Kun ZHANG
Affiliation:
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. Email: [email protected] University of Chinese Academy of Sciences, Beijing 100049, China.
Yihe LÜ*
Affiliation:
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. Email: [email protected] University of Chinese Academy of Sciences, Beijing 100049, China.
Bojie FU
Affiliation:
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. Email: [email protected] University of Chinese Academy of Sciences, Beijing 100049, China.
Ting LI
Affiliation:
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. Email: [email protected] University of Chinese Academy of Sciences, Beijing 100049, China.
*
*Corresponding author

Abstract

Since the ‘Grain to Green Program' was launched in 1999 in the Loess Plateau, China, the processes and patterns of ecological change have become important. Through the use of the fractional vegetation cover (FVC) index, this study examines the spatial distribution and temporal change of vegetation cover in the Loess Plateau during 2000–2014. Over this period more than 60% of the Loess Plateau has remained with little vegetation cover (FVC <30%). The spatial distribution pattern shows an overall increase from the NW to SE. Temporally, the vegetation cover exhibits a general trend of improvement. In 2000–2005, 2000–2010 and 2000–2014, the percentages of restored vegetation (vegetation with significantly increased FVC, P<0.05) were 2, 21 and 52%, respectively. The rate of vegetation cover restoration was highly variable among different bioclimatic zones. The expansion of restored vegetation was greater in the N of the Loess Plateau than in the south. Both human restoration activities and climatic fluctuation influenced the vegetation cover change. The ‘Grain to Green Program' emphasised vegetation restoration. Regional precipitation also had clear effects on vegetation cover. The results of this study reveal that vegetation change shows a non-linear process in response to climate and ecological restoration measures, and that the change gradually emerges over time. This study highlights the importance of considering the spatiotemporal variability in vegetation cover during the implementation of restoration programs, which could aid decision-making for the effective and sustainable management of large-scale restoration programs.

Type
Articles
Copyright
Copyright © The Royal Society of Edinburgh 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

6. References

Arneth, A. 2015. Climate science: uncertain future for vegetation cover. Nature 524, 4445.Google Scholar
Bao, G., Bao, Y. H., Sanjjava, A., Qin, Z. H., Zhou, Y. & Xu, G. 2015. NDVI-indicated long-term vegetation dynamics in Mongolia and their response to climate change at biome scale. International Journal of Climatology 35, 42934306.Google Scholar
Cai, Q. G. 2001. Soil erosion and management on the Loess Plateau. Journal of Geographical Sciences 11, 5370.Google Scholar
Chen, H. S., Shao, M. A. & Li, Y. Y. 2008. Soil desiccation in the Loess Plateau of China. Geoderma 143, 91100.Google Scholar
Chen, Y. P., Wang, K. B., Lin, Y. S., Shi, W. Y., Song, Y. & He, X. H. 2015. Balancing green and grain trade. Nature Geoscience 8, 739741.Google Scholar
Dai, S. P., Zhang, B., Wang, H. J., Wang, Y. M., Guo, L. X., Wang, X. M. & Li, D. 2011. Vegetation cover change and the driving factors over northwest China. Journal of Arid Land 3, 2533.Google Scholar
Davies-Barnard, T., Valdes, P. J., Singarayer, J. S., Wiltshire, A. J. & Jones, C. D. 2015. Quantifying the relative importance of land cover change from climate and land use in the representative concentration pathways. Global Biogeochemical Cycles 29, 842853.Google Scholar
Deng, S. F., Yang, T. B., Zeng, B., Zhu, X. F. & Xu, H. J. 2013. Vegetation cover variation in the Qilian Mountains and its response to climate change in 2000-2011. Journal of Mountain Science 10, 10501062.Google Scholar
Dubovyk, O., Landmann, T., Erasmus, B. F. N., Tewes, A. & Schellberg, J. 2015. Monitoring vegetation dynamics with medium resolution MODIS-EVI time series at sub-regional scale in Southern Africa. International Journal of Applied Earth Observation and Geoinformation 38, 175183.Google Scholar
Feng, X. M., Sun, G., Fu, B. J., Su, C. H., Liu, Y. & Lamparski, H. 2012. Regional effects of vegetation restoration on water yield across the Loess Plateau, China. Hydrology and Earth System Sciences 16, 26172628.Google Scholar
Feng, X. M., Fu, B. J., , N., Zeng, Y. & Wu, B. F. 2013. How ecological restoration alters ecosystem services: an analysis of carbon sequestration in China's Loess Plateau. Scientific Reports 3, 2846.Google Scholar
Fu, B. J., Liu, Y., , Y. H., He, C. S., Zeng, Y. & Wu, B. F. 2011. Assessing the soil erosion control service of ecosystems change in the Loess Plateau of China. Ecological Complexity 8, 284293.Google Scholar
Han, K.-S., Park, Y.-Y. & Yeom, J.-M. 2015. Detection of change in vegetation in the surrounding desert areas of Northwest China and Mongolia with multi-temporal satellite images. Asia-Pacific Journal of Atmospheric Sciences 51, 173181.Google Scholar
Hao, F. H., Zhang, X., Ouyang, W., Skidmore, A. K. & Toxopeus, A. G. 2012. Vegetation NDVI linked to temperature and precipitation in the upper catchments of Yellow River. Environmental Modeling & Assessment 17, 389398.Google Scholar
Imukova, K., Ingwersen, J. & Streck, T. 2015. Determining the spatial and temporal dynamics of the green vegetation fraction of croplands using high-resolution RapidEye satellite images. Agricultural and Forest Meteorology 206, 113123.Google Scholar
Ivits, E., Cherlet, M., Sommer, S. & Mehl, W. 2013. Addressing the complexity in non-linear evolution of vegetation phenological change with time-series of remote sensing images. Ecological Indicators 26, 4960.Google Scholar
Jiang, W. G., Yuan, L. H., Wang, W. J., Cao, R., Zhang, Y. F. & Shen, W. M. 2015. Spatio-temporal analysis of vegetation variation in the Yellow River Basin. Ecological Indicators 51, 117126.Google Scholar
Jiang, Z. & Huete, A. R. 2010. Linearization of NDVI based on its relationship with vegetation fraction. Photogrammetric Engineering and Remote Sensing 76, 965975.Google Scholar
Karnieli, A., Bayasgalan, M., Bayarjargal, Y., Agam, N., Khudulmur, S. & Tucker, C. J. 2006. Comments on the use of the vegetation health index over Mongolia. International Journal of Remote Sensing 27, 20172024.Google Scholar
Li, S. S., Yang, S. N., Liu, X. F., Liu, Y. X. & Shi, M. M. 2015. NDVI-Based Analysis on the influence of climate change and human activities on vegetation restoration in the Shaanxi-Gansu-Ningxia Region, Central China. Remote Sensing 7, 11163–82.Google Scholar
Li, Z., Liu, W. Z., Zhang, X. C. & Zheng, F. L. 2009. Impacts of land use change and climate variability on hydrology in an agricultural catchment on the Loess Plateau of China. Journal of Hydrology 377, 3542.Google Scholar
Liu, B. X. & Shao, M. A. 2016. Response of soil water dynamics to precipitation years under different vegetation types on the northern Loess Plateau, China. Journal of Arid Land 8, 4759.Google Scholar
Lu, L. L., Kuenzer, C., Wang, C. Z., Guo, H. D. & Li, Q. T. 2015. Evaluation of three MODIS-derived vegetation Index time series for dryland vegetation dynamics monitoring. Remote Sensing 7, 75977614.Google Scholar
, Y. H., Fu, B. J., Feng, X. M., Zeng, Y., Liu, Y., Chang, R. Y., Sun, G. & Wu, B. F. 2012. A policy-driven large scale ecological restoration: quantifying ecosystem services changes in the loess Plateau of China. PLoS ONE 7, e31782.Google Scholar
, Y. H., Zhang, L. W., Feng, X. M., Zeng, Y., Fu, B. J., Yao, X. L., Li, J. R. & Wu, B. F. 2015. Recent ecological transitions in China: greening, browning, and influential factors. Scientific Reports 5, 8732.Google Scholar
Martiny, N., Camberlin, P., Richard, Y. & Philippon, N. 2006. Compared regimes of NDVI and rainfall in semi-arid regions of Africa. International Journal of Remote Sensing 27, 52015223.Google Scholar
Otto, M., Hoepfner, C., Curio, J., Maussion, F. & Scherer, D. 2016. Assessing vegetation response to precipitation in northwest Morocco during the last decade: an application of MODIS NDVI and high resolution reanalysis data. Theoretical and Applied Climatology 123, 2341.Google Scholar
Peng, J., Liu, Z. H., Liu, Y. H., Wu, J. S. & Han, Y. A. 2012. Trend analysis of vegetation dynamics in Qinghai–Tibet Plateau using Hurst exponent. Ecological Indicators 14, 2839.Google Scholar
Potter, C. 2015. Vegetation cover change in the Upper Kings River basin of the Sierra Nevada detected using Landsat satellite image analysis. Climatic Change 131, 635647.Google Scholar
Rundquist, B. C. 2002. The influence of canopy green vegetation fraction on spectral measurements over native tallgrass prairie. Remote Sensing of Environment 81, 129135.Google Scholar
Shangguan, Z. P. 2007. Soil desiccation occurrence and its impact on forest vegetation in the Loess Plateau of China. International Journal of Sustainable Development and World Ecology 14, 299306.Google Scholar
Sun, W. Y., Song, X. Y., Mu, X. M., Gao, P., Wang, F. & Zhao, G. J. 2015. Spatiotemporal vegetation cover variations associated with climate change and ecological restoration in the Loess Plateau. Agricultural and Forest Meteorology 209, 8799.Google Scholar
Tewes, A., Thonfeld, F., Schmidt, M., Oomen, R. J., Zhu, X., Dubovyk, O., Menz, G. & Schellberg, J. 2015. Using RapidEye and MODIS data fusion to monitor vegetation dynamics in semi-arid rangelands in South Africa. Remote Sensing 7, 65106534.Google Scholar
Vandandorj, S., Gantsetseg, B. & Boldgiv, B. 2015. Spatial and temporal variability in vegetation cover of Mongolia and its implications. Journal of Arid Land 7, 450461.Google Scholar
van Leeuwen, W. J. D., Orr, B. J., Marsh, S. E. & Herrmann, S. M. 2006. Multi-sensor NDVI data continuity: uncertainties and implications for vegetation monitoring applications. Remote Sensing of Environment 100, 6781.Google Scholar
Wang, H. J., Yang, Z. S., Saito, Y., Liu, J. P., Sun, X. X. & Wang, Y. 2007. Stepwise decreases of the Huanghe (Yellow River) sediment load (1950-2005): impacts of climate change and human activities. Global and Planetary Change 57, 331354.Google Scholar
Wang, T. M., Kou, X. J., Xiong, Y. C., Mou, P., Wu, J. G. & Ge, J. P. 2010a. Temporal and spatial patterns of NDVI and their relationship to precipitation in the Loess Plateau of China. International Journal of Remote Sensing 31, 19431958.Google Scholar
Wang, Y., Shao, M., Zhu, Y. & Liu, Z. 2011. Impacts of land use and plant characteristics on dried soil layers in different climatic regions on the Loess Plateau of China. Agricultural and Forest Meteorology 151, 437448.Google Scholar
Wang, Y. Q., Shao, M. A. & Shao, H. B. 2010b. A preliminary investigation of the dynamic characteristics of dried soil layers on the Loess Plateau of China. Journal of Hydrology 381, 917.Google Scholar
Weiss, J. L., Gutzler, D. S., Coonrod, J. E. A. & Dahm, C. N. 2004. Long-term vegetation monitoring with NDVI in a diverse semi-arid setting, central New Mexico, USA. Journal of Arid Environments 58, 249272.Google Scholar
Wu, D. H., Wu, H., Zhao, X., Zhou, T., Tang, B. J., Zhao, W. Q. & Jia, K. 2014. Evaluation of spatiotemporal variations of global fractional vegetation cover based on GIMMS NDVI data from 1982 to 2011. Remote Sensing 6, 42174239.Google Scholar
Xiao, J. F. 2014. Satellite evidence for significant biophysical consequences of the “Grain for Green” Program on the Loess Plateau in China. Journal of Geophysical Research-Biogeosciences 119, 22612275.Google Scholar
Xin, Z. B., Xu, J. X. & Zheng, W. 2008. Spatiotemporal variations of vegetation cover on the Chinese Loess Plateau (1981–2006): impacts of climate changes and human activities. Science in China Series D-Earth Sciences 51, 6778.Google Scholar
Xin, Z. B., Yu, X. X., Li, Q. Y. & Lu, X. X. 2011. Spatiotemporal variation in rainfall erosivity on the Chinese Loess Plateau during the period 1956–2008. Regional Environmental Change 11, 149159.Google Scholar
Xin, Z. B., Ran, L. S. & Lu, X. X. 2012. Soil erosion control and sediment load reduction in the loess plateau: policy perspectives. International Journal of Water Resources Development 28, 325341.Google Scholar
Yang, J. P., Ding, Y. J. & Chen, R. S. 2006. Spatial and temporal of variations of alpine vegetation cover in the source regions of the Yangtze and Yellow Rivers of the Tibetan Plateau from 1982 to 2001. Environmental Geology 50, 313322.Google Scholar
Zhang, J. E., Wang, T. M. & Ge, J. P. 2015. Assessing vegetation cover dynamics induced by policy-driven ecological restoration and implication to Soil Erosion in Southern China. PLoS ONE 10, e0131352.Google Scholar
Zhang, Y. L., Gao, J. G., Liu, L. S., Wang, Z. F., Ding, M. J. & Yang, X. C. 2013. NDVI-based vegetation changes and their responses to climate change from 1982 to 2011: a case study in the Koshi River basin in the middle Himalayas. Global and Planetary Change 108, 139148.Google Scholar
Zhou, H. K., Zhao, X. Q., Tang, Y. H., Gu, S. & Zhou, L. 2005. Alpine grassland degradation and its control in the source region of the Yangtze and Yellow Rivers, China. Grassland Science 51, 191203.Google Scholar
Zhou, W., Gang, C. C., Zhou, L., Chen, Y. Z., Li, J. L., Ju, W. M. & Odeh, I. 2014. Dynamic of grassland vegetation degradation and its quantitative assessment in the northwest China. Acta Oecologica-International Journal of Ecology 55, 8696.Google Scholar
Zhou, Z. C., Shangguan, Z. P. & Zhao, D. 2006. Modeling vegetation coverage and soil erosion in the Loess Plateau area of China. Ecological Modelling 198, 263268.Google Scholar