Satellite Evidence for Divergent Forest Responses within Close Vicinity to Climate Fluctuations in a Complex Terrain
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.1.1. Climate and Vegetation
2.1.2. Complex Terrain
2.2. Data Preparation
2.2.1. Satellite Data
2.2.2. Climate Data
2.2.3. The Digital Elevation Model
2.3. Research Methods
2.3.1. Identifying Time Lags of Forest Response to Different Climate Factors
2.3.2. Identifying the Dominating Climatic Driver for Forest Growth for Each Pixel
2.3.3. EVI Responses to Different Climate Factors
2.3.4. Partitioning the Effects of Climatic and Topographic Variables on the EVI
3. Results
3.1. Time-Lag Effects of the EVI Response to Climate Factors
3.2. Dominant Climate Factors Driver of the EVI
3.3. Impact of Climate Fluctuations on the EVI
3.4. Impact of Elevation on Forest Response to Climate Fluctuations
4. Discussion
4.1. Diverse Forest Response to Climate Fluctuations
4.2. Uncertainty
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Dixon, R.K.; Solomon, A.M.; Brown, S.; Houghton, R.A.; Trexier, M.C.; Wisniewski, J. Carbon Pools and Flux of Global Forest Ecosystems. Science 1994, 263, 185–190. [Google Scholar] [CrossRef]
- Bonan, G.B. Forests and Climate Change: Forcings, Feedbacks, and the Climate Benefits of Forests. Science 2008, 320, 1444–1449. [Google Scholar] [CrossRef] [PubMed]
- Baldocchi, D.; Chu, H.; Reichstein, M. Inter-Annual Variability of Net and Gross Ecosystem Carbon Fluxes: A Review. Agric. For. Meteorol. 2018, 249, 520–533. [Google Scholar] [CrossRef]
- Seppälä, R.; Buck, A.; Katila, P. Adaptation of Forests and People to Climate Change; International Union of Forest Research Organizations (IUFRO): Helsinki, Finland, 2009; Volume 22, p. 224. [Google Scholar]
- Nemani, R.R.; Keeling, C.D.; Hashimoto, H.; Jolly, W.M.; Piper, S.C.; Tucker, C.J.; Myneni, R.B.; Running, S.W. Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999. Science 2003, 300, 1560–1563. [Google Scholar] [CrossRef] [PubMed]
- Wu, D.; Zhao, X.; Liang, S.; Zhou, T.; Huang, K.; Tang, B.; Zhao, W. Time-Lag Effects of Global Vegetation Responses to Climate Change. Glob. Chang. Biol. 2015, 21, 3520–3531. [Google Scholar] [CrossRef]
- Ding, Y.; Li, Z.; Peng, S. Global Analysis of Time-Lag and -Accumulation Effects of Climate on Vegetation Growth. Int. J. Appl. Earth Obs. Geoinf. 2020, 92, 102179. [Google Scholar] [CrossRef]
- Allen, C.D.; Breshears, D.D.; McDowell, N.G. On Underestimation of Global Vulnerability to Tree Mortality and Forest Die-off from Hotter Drought in the Anthropocene. Ecosphere 2015, 6, 129. [Google Scholar] [CrossRef]
- Franke, A.K.; Bräuning, A.; Timonen, M.; Rautio, P. Growth Response of Scots Pines in Polar-Alpine Tree-Line to a Warming Climate. For. Ecol. Manag. 2017, 399, 94–107. [Google Scholar] [CrossRef]
- Allen, C.D.; Macalady, A.K.; Chenchouni, H.; Bachelet, D.; McDowell, N.; Vennetier, M.; Kitzberger, T.; Rigling, A.; Breshears, D.D.; Hogg, E.H.; et al. A Global Overview of Drought and Heat-Induced Tree Mortality Reveals Emerging Climate Change Risks for Forests. For. Ecol. Manag. 2010, 259, 660–684. [Google Scholar] [CrossRef]
- Krasnova, A.; Mander, U.; Noe, S.M.; Uri, V.; Krasnov, D.; Soosaar, K. Hemiboreal Forests? CO2 Fluxes Response to the European 2018 Heatwave. Agric. For. Meteorol. 2022, 323, 109042. [Google Scholar] [CrossRef]
- ** for China Using Remotely Sensed and Points-of-Interest Data within a Random Forests Model. Sci. Total Environ. 2019, 658, 936–946. [Google Scholar] [CrossRef] [PubMed]
- Lebourgeois, F.; Rathgeber, C.B.K.; Ulrich, E. Sensitivity of French Temperate Coniferous Forests to Climate Variability and Extreme Events (Abies alba, Picea abies and Pinus sylvestris). J. Veg. Sci. 2010, 21, 364–376. [Google Scholar] [CrossRef]
- Moore, C.E.; Meacham-Hensold, K.; Lemonnier, P.; Slattery, R.A.; Benjamin, C.; Bernacchi, C.J.; Lawson, T.; Cavanagh, A.P. The Effect of Increasing Temperature on Crop Photosynthesis: From Enzymes to Ecosystems. J. Exp. Bot. 2021, 72, 2822–2844. [Google Scholar] [CrossRef] [PubMed]
- Jiang, H.; Xu, X.; Guan, M.; Wang, L.; Huang, Y.; Jiang, Y. Determining the Contributions of Climate Change and Human Activities to Vegetation Dynamics in Agro-Pastural Transitional Zone of Northern China from 2000 to 2015. Sci. Total Environ. 2020, 718, 134871. [Google Scholar] [CrossRef] [PubMed]
- Tejedor, E.; Serrano-Notivoli, R.; de Luis, M.; Saz, M.A.; Hartl, C.; George, S.; Buntgen, U.; Liebhold, A.M.; Vuille, M.; Esper, J. A Global Perspective on the Climate-Driven Growth Synchrony of Neighbouring Trees. Glob. Ecol. Biogeogr. 2020, 29, 1114–1125. [Google Scholar] [CrossRef]
- Herrmann, S.M.; Didan, K.; Barreto-Munoz, A.; Crimmins, M.A. Divergent Responses of Vegetation Cover in Southwestern US Ecosystems to Dry and Wet Years at Different Elevations. Environ. Res. Lett. 2016, 11, 124005. [Google Scholar] [CrossRef]
- Li, X.; Du, H.; Zhou, G.; Mao, F.; Zhu, D.; Zhang, M.; Xu, Y.; Zhou, L.; Huang, Z. Spatiotemporal Patterns of Remotely Sensed Phenology and Their Response to Climate Change and Topography in Subtropical Bamboo Forests during 2001–2017: A Case Study in Zhejiang Province, China. GIScience Remote Sens. 2023, 60, 2163575. [Google Scholar] [CrossRef]
- **e, Y.; Wang, X.; Silander, J.A. Deciduous Forest Responses to Temperature, Precipitation, and Drought Imply Complex Climate Change Impacts. Proc. Natl. Acad. Sci. USA 2015, 112, 13585–13590. [Google Scholar] [CrossRef]
- Li, G.; Chen, W.; Zhang, X.; Bi, P.; Yang, Z.; Shi, X.; Wang, Z. Spatiotemporal Dynamics of Vegetation in China from 1981 to 2100 from the Perspective of Hydrothermal Factor Analysis. Environ. Sci. Pollut. Res. 2022, 29, 14219–14230. [Google Scholar] [CrossRef]
- Li, G.; Chen, W.; Mu, L.; Zhang, X.; Bi, P.; Wang, Z.; Yang, Z. Analysis and Prediction of Global Vegetation Dynamics: Past Variations and Future Perspectives. J. For. Res. 2023, 34, 317–332. [Google Scholar] [CrossRef]
- Du, R.; Wu, J.; Tian, F.; Yang, J.; Han, X.; Chen, M.; Zhao, B.; Lin, J. Reversal of Soil Moisture Constraint on Vegetation Growth in North China. Sci. Total Environ. 2023, 865, 161246. [Google Scholar] [CrossRef] [PubMed]
- McHugh, C.W.; Kolb, T.E. Ponderosa Pine Mortality Following Fire in Northern Arizona. Int. J. Wildland Fire 2003, 12, 7–22. [Google Scholar] [CrossRef]
- Kitchens, K.A.; Peng, L.; Daniels, L.D.; Carroll, A.L. Patterns of Infestation by Subcortical Insects (Coleoptera: Buprestidae, Cerambycidae) after Widespread Wildfires in Mature Douglas-Fir (Pseudotsuga menziesii) Forests. For. Ecol. Manag. 2022, 513, 120203. [Google Scholar] [CrossRef]
- Yang, J.; Zhang, Q.; Hao, S. Effects of Fire Disturbance on Larix gmelinii Growth-Climate Relationship. Ecol. Indic. 2022, 143, 109377. [Google Scholar] [CrossRef]
- Sarmah, S.; Jia, G.; Zhang, A. Satellite View of Seasonal Greenness Trends and Controls in South Asia. Environ. Res. Lett. 2018, 13, 034026. [Google Scholar] [CrossRef]
- Chen, C.; Park, T.; Wang, X.; Piao, S.; Xu, B.; Chaturvedi, R.K.; Fuchs, R.; Brovkin, V.; Ciais, P.; Fensholt, R.; et al. China and India Lead in Greening of the World through Land-Use Management. Nat. Sustain. 2019, 2, 122–129. [Google Scholar] [CrossRef]
- Parida, B.R.; Pandey, A.C.; Patel, N.R. Greening and Browning Trends of Vegetation in India and Their Responses to Climatic and Non-Climatic Drivers. Climate 2020, 8, 92. [Google Scholar] [CrossRef]
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Wang, J.; Fang, W.; Xu, P.; Li, H.; Chen, D.; Wang, Z.; You, Y.; Rafaniello, C. Satellite Evidence for Divergent Forest Responses within Close Vicinity to Climate Fluctuations in a Complex Terrain. Remote Sens. 2023, 15, 2749. https://doi.org/10.3390/rs15112749
Wang J, Fang W, Xu P, Li H, Chen D, Wang Z, You Y, Rafaniello C. Satellite Evidence for Divergent Forest Responses within Close Vicinity to Climate Fluctuations in a Complex Terrain. Remote Sensing. 2023; 15(11):2749. https://doi.org/10.3390/rs15112749
Chicago/Turabian StyleWang, **g, Wei Fang, Peipei Xu, Hu Li, Donghua Chen, Zuo Wang, Yuanhong You, and Christopher Rafaniello. 2023. "Satellite Evidence for Divergent Forest Responses within Close Vicinity to Climate Fluctuations in a Complex Terrain" Remote Sensing 15, no. 11: 2749. https://doi.org/10.3390/rs15112749