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Ecological Risks Arising from the Impact of Large-scale Afforestation on the Regional Water Supply Balance in Southwest China

  • 1.

    Cao, S. & Zhang, J. Political risks arising from the impacts of large-scale afforestation on water resources of the Tibetan Plateau. Gondwana Research 28, 898–903 (2015).

  • 2.

    Jiang, C., Shang, D. & Cao, S. Managing Institutional Evolution to Increase the Likelihood of Success: Examples of Guidance from Chinese History. Social Indicators Research 127, 1157–1167 (2015).

    • Article
    • Google Scholar
  • 3.

    Zhang, J., Zhao, T., Jiang, C. & Cao, S. Opportunity cost of water allocation to afforestation rather than conservation of natural vegetation in China. Land Use Policy 50, 67–73 (2016).

    • Article
    • Google Scholar
  • 4.

    Zhang, J. et al. Modeling activity patterns of wildlife using time-series analysis. Ecol. Evol. 7, 2575–2584 (2017).

    • Article
    • Google Scholar
  • 5.

    Cao, S. A win–win path for institutional change. Time & Society 25, 493–512 (2016).

    • Article
    • Google Scholar
  • 6.

    Zhang, J. et al. Divergent responses of sympatric species to livestock encroachment at fine spatiotemporal scales. Biological Conservation 209, 119–129 (2017).

    • Article
    • Google Scholar
  • 7.

    Lu, C., Zhao, T., Shi, X. & Cao, S. Ecological restoration by afforestation may increase groundwater depth and create potentially large ecological and water opportunity costs in arid and semiarid China, Journal of Cleaner Production (2016).

  • 8.

    Zhang, Z., De Clercq, E., Ou, X. K., De Wulf, R. & Verbeke, L. Mapping dominant vegetation communities at Meili Snow Mountain, Yunnan Province, China using satellite imagery and plant community data. Geocarto International 23, 135–153 (2008).

    • Article
    • Google Scholar
  • 9.

    Zhang, Z. M., Van Coillie, F., De Wulf, R., De Clercq, E. M. & Ou, X. K. Comparison of Surface and Planimetric Landscape Metrics for Mountainous Land Cover Pattern Quantification in Lancang Watershed, China. Mountain Research and Development 32, 213–225 (2012).

  • 10.

    Zinda, J. & Zhang, Z. Land Tenure Legacies, Household Life Cycles, and Livelihood Strategies in Upland China, Rural Sociology (2017).

  • 11.

    Wu, J., Miao, C., Zhang, X., Yang, T. & Duan, Q. Detecting the quantitative hydrological response to changes in climate and human activities. Sci. Total Environ 586, 328–337 (2017).

  • 12.

    Gao, Y. et al. Effects of atmospheric reactive phosphorus deposition on phosphorus transport in a subtropical watershed: A Chinese case study. Environ. Pollut. 226, 69–78 (2017).

  • 13.

    Kong, D. et al. Evolution of the Yellow River Delta and its relationship with runoff and sediment load from 1983 to 2011. Journal of Hydrology 520, 157–167 (2015).

  • 14.

    Miao, C., Su, L., Sun, Q. & Duan, Q. A nonstationary bias-correction technique to remove bias in GCM simulations. Journal of Geophysical Research: Atmospheres 121, 5718–5735 (2016).

    • Google Scholar
  • 15.

    State Statistics Bureau, China Statistical Yearbook. China Statistics Press, Beijing, 2000–2015 (2016, In Chinese).

  • 16.

    Xiao, Y. & Xiao, Q. Impact of large-scale tree planting in Yunnan Province, China, on the water supply balance in Southeast Asia. Environmental Monitoring and Assessment 191, 20 (2019).

    • Article
    • Google Scholar
  • 17.

    Alcasena, F. J., Salis, M., Nauslar, N. J., Aguinaga, A. E. & Vega-Garcia, C. Quantifying economic losses from wildfires in black pine afforestations of northern Spain. Forest Policy and Economics 73, 153–167 (2016).

    • Article
    • Google Scholar
  • 18.

    Cao, S., Zhang, J., Chen, L. & Zhao, T. Ecosystem water imbalances created during ecological restoration by afforestation in China, and lessons for other developing countries. Journal of Environmental Management 183, 843–849 (2016).

    • Article
    • Google Scholar
  • 19.

    Chen, L.-F. et al. Impacts of afforestation on plant diversity, soil properties, and soil organic carbon storage in a semi-arid grassland of northwestern China. Catena 147, 300–307 (2016).

  • 20.

    Dubovyk, O., Menz, G. & Khamzina, A. Land Suitability Assessment for Afforestation with Elaeagnus Angustifolia L. in Degraded Agricultural Areas of the Lower Amudarya River Basin. Land Degradation & Development 27, 1831–1839 (2016).

    • Article
    • Google Scholar
  • 21.

    Flores-de-Santiagoa, F., Serrano, D., Flores-Verdugo, F. & Monroy-Torres, M. Application of a simple and effective method for mangrove afforestation in semiarid regions combining nonlinear models and constructed platforms. Ecological Engineering 103, 244–255 (2017).

    • Article
    • Google Scholar
  • 22.

    Gunina, A., Smith, A. R., Godbold, D. L., Jones, D. L. & Kuzyakov, Y. Response of soil microbial community to afforestation with pure and mixed species. Plant and Soil 412, 357–368 (2017).

  • 23.

    Hess, L. J. T. & Austin, A. T. Pine afforestation alters rhizosphere effects and soil nutrient turnover across a precipitation gradient in Patagonia, Argentina. Plant and Soil 415, 449–464 (2017).

  • 24.

    Jia, X., Shao, M. A., Zhu, Y. & Luo, Y. Soil moisture decline due to afforestation across the Loess Plateau, China. Journal of Hydrology 546, 113–122 (2017).

  • 25.

    Karbin, S., Hagedorn, F., Hiltbrunner, D., Zimmermann, S. & Niklaus, P. A. Spatial micro-distribution of methanotrophic activity along a 120-year afforestation chronosequence. Plant and Soil 415, 13–23 (2017).

  • 26.

    Kim, G. S. et al Effect of National-Scale Afforestation on Forest Water Supply and Soil Loss in South Korea, 1971–2010, Sustainability, 9 (2017).

    • Article
    • Google Scholar
  • 27.

    Ortiz, C. et al. Soil organic matter dynamics after afforestation of mountain grasslands in both a Mediterranean and a temperate climate. Biogeochemistry 131, 267–280 (2016).

  • 28.

    Paradis, E. & Rochefort, L. Management of the margins in cutover bogs: ecological conditions and effects of afforestation. Wetlands Ecology and Management 25, 177–190 (2017).

    • Article
    • Google Scholar
  • 29.

    Ren, C. et al. Temporal variation in soil enzyme activities after afforestation in the Loess Plateau, China. Geoderma 282, 103–111 (2016).

  • 30.

    Sadeghi, S. M. M., Attarod, P., Van Stan, J. T. & Pypker, T. G. The importance of considering rainfall partitioning in afforestation initiatives in semiarid climates: A comparison of common planted tree species in Tehran, Iran. Sci. Total Environ. 568, 845–855 (2016).

  • 31.

    Sagebiel, J., Glenk, K. & Meyerhoff, J. Spatially explicit demand for afforestation. Forest Policy and Economics 78, 190–199 (2017).

    • Article
    • Google Scholar
  • 32.

    Segura, C., Jimenez, M. N., Nieto, O., Navarro, F. B. & Fernandez-Ondono, E. Changes in soil organic carbon over 20 years after afforestation in semiarid SE Spain. Forest Ecology and Management 381, 268–278 (2016).

    • Article
    • Google Scholar
  • 33.

    Silveira, L., Gamazo, P., Alonso, J. & Martinez, L. Effects of afforestation on groundwater recharge and water budgets in the western region of Uruguay. Hydrological Processes 30, 3596–3608 (2016).

  • 34.

    Zhang, L., Hickel, K. & Shao, Q. Predicting afforestation impacts on monthly streamflow using the DWBM model, Ecohydrology, 10 (2017).

  • 35.

    Liu, J. Y. et al. Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s. Journal of Geographical Sciences 24, 195–210 (2014).

    • Article
    • Google Scholar
  • 36.

    Xiao, Y. & Ouyang, Z. Y. Spatial-temporal patterns and driving forces of water retention service in China. Chinese Geographical Science 29(1), 100–111 (2019).

    • Article
    • Google Scholar
  • 37.

    Yang, H. B., Qi, J., Xu, X. Y., Yang, D. W. & Lv, H. F. The regional variation in climate elasticity and climate contribution to runoff across China. Journal of Hydrology 517, 607–616 (2014).

  • 38.

    Priestley, C. H. B. & Taylor, R. J. On the assessment of surface heat flux and evaporation using large scale parameters. Monthly Weather Review 100, 81–92 (1972).

  • 39.

    Beck, H. E. et al. Global evaluation of four AVHRR-NDVI data sets: Intercomparison and assessment against Landsat imagery. Remote Sensing of Environment 115, 2547–2563 (2011).

  • 40.

    Yue, S. & Wang, C. Y. The Mann-Kendall test modified by effective sample size to detect trend in serially correlated hydrological series. Water Resource Management 18, 201–218 (2004).

    • Article
    • Google Scholar

  • Source: Ecology - nature.com

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