Monthly rather than annual climate variation determines plant diversity change in four temperate grassland nature reserves

Bai, Lan; Wang, Zhaohua; Lu, Yitong; Tian, Jialing; Peng, Yu

doi:10.1007/s11356-021-16473-y

Cited by 3 publications

(5 citation statements)

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“…This might be caused by the fact that the variation of MAP in the study area is relatively small (Fig. S3), and the decrease of MAT possibly reduces the magnitude of water loss through the evapotranspiration process [51] , [52] , [53] . Human activity can lead to plant species diversity loss ( Fig.…”

Section: Discussionmentioning

confidence: 99%

“…Ecosystem stability can be expressed as the resistance to disturbances (i.e., the magnitude of change after disturbances) or the resilience after disturbances (i.e., the ability returning to its original state) [ 6 , 7 ]. Considering the fact that the calculation of resistance requires a specific disturbance event that can be hardly specified in this study and the study area is dominated by annual plants that are easily influenced by climate conditions [52] , resilience might be a more appropriate indicator for grassland ecosystem stability in this study. The contributions of species richness and canopy structural traits to resilience vary significantly among human activity intensity groups with a similar pattern, and their overall contributions are weak or insignificant ( Fig.…”

Section: Discussionmentioning

confidence: 99%

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Canopy structure: An intermediate factor regulating grassland diversity-function relationships under human disturbances

Zhao

Feng²,

Xu³

et al. 2023

Fundamental Research

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Canopy structure: An intermediate factor regulating grassland diversity-function relationships under human disturbances

Zhao

Feng²,

Xu³

et al. 2023

Fundamental Research

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“…A study that identified the general environmental drivers of vascular plant richness in dry grasslands in north‐western and central Bulgaria indicated that environmental factors strongly influence plant community patterns (Dembicz et al., 2021). Using Landsat images from1982 to 2017, the evolution of month‐ and annual‐climate variables and spectral plant diversity indices in four grasslands in China indicated that the beta diversity has sharply decreasing (Bai et al., 2021). At global scale, an obvious biotic homogenization in plant communities was also predicted in the future decades in various types of grasslands (Peng et al., 2022).…”

Section: Discussionmentioning

confidence: 99%

“…For ΔSill of DNF and grasslands, (Dembicz et al, 2021). Using Landsat images from1982 to 2017, the evolution of month-and annual-climate variables and spectral plant diversity indices in four grasslands in China indicated that the beta diversity has sharply decreasing (Bai et al, 2021). At global scale, an obvious biotic homogenization in plant communities was also predicted in the future decades in various types of grasslands (Peng et al, 2022).…”

Section: Climatic Change and Sac Shiftmentioning

confidence: 99%

Global patterns and drivers of spatial autocorrelation in plant communities in protected areas

Peng,

Xin,

Peng

et al. 2023

Diversity and Distributions

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AimStochastic and deterministic (biotic factors such as intraspecies competition or abiotic factors) processes affect the spatial patterns of ecological communities. These processes can be quantitatively assessed based on spatial autocorrelation (SAC) parameters. However, the global patterns of SAC and their differences across vegetation types remain unknown. We aimed to (1) quantitatively assess the SAC global pattern in plant communities and their variation from 1990 to 2020 and (2) identify the key drivers of SAC in plant communities in protected areas (PAs).LocationGlobal.Time Period1990–2020.Major Taxa StudiedTerrestrial plants.MethodsUsing normalized difference vegetation index data extracted from remote sensing datasets, we calculated the SAC parameters, including the Nugget, Partial Sill (PSill), and Sill, in 147 samples from 49 PAs in 1990, 2000, 2010, and 2020. The random forest model was employed to identify the drivers among 10 annual and 120 monthly climatic variables.ResultsThe SAC patterns of plant communities in global PAs differed across vegetation types. It reached the highest in grasslands and evergreen needleleaved forests, mainly explained by annual energy metrics, and the lowest in tropical evergreen rain forests around equator and boreal coniferous forests near the Arctic Circle. From 1990 to 2020, the Nugget, PSill, and Sill decreased by 92.36%, 58.36%, and 60.61%, respectively, indicating biological homogeneity. Monthly climatic variables explain SAC variations better than annual ones.Main ConclusionsFrom 1990 to 2020, the SAC parameters decreased sharply across vegetation types, indicating an obvious biologically homogenous trend that was mainly driven by monthly climatic variation, vary across sites and vegetation types. Our results highlight the need to assess the SAC in different vegetation types separately to understand the shifts of global plant communities under climate change.

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“…Notably, Helianthemum songaricum, a living plant fossil, that is concentrated solely in the desert steppe in the West Ordos region of Inner Mongolia and the Yili Valley of Xinjiang Province [77,78], has been suffering habitat fragmentation due to disturbance from human activity [77]. Except for human activity, the plant diversity problem could also be a possible reason why the WVP NNR should raise more awareness of conservation, because conservationists have documented plant diversity declines in grassland ecosystems within the WVP NNR boundary [79]. We could come to the conclusion that the NNRs on sandy or desert steppes in the IMAR are facing the risk of slow greening but fierce disturbance.…”

Section: Necessity Regarding the Imar Nnr Effectiveness Assessmentmentioning

confidence: 99%

Grassland Conservation Effectiveness of National Nature Reserves in Northern China

Zhao

et al. 2022

Remote Sensing

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Grasslands are crucial ecosystem biomes for breeding livestock and combatting climate change. By 2018, the national nature reserves (NNRs) in the Inner Mongolia Autonomous Region (IMAR) had constituted 8.55% of the land area. However, there is still a knowledge gap about their effectiveness in grasslands. Based on a multiyear time series of the growing season composite from 2000 to 2020, we proposed an effectiveness score to assess the effectiveness of the NNRs, using the 250 m MOD13Q1 NDVI data with Theil–Sen and Mann–Kendall trend analysis methods. We found the following: 22 of 30 NNRs were deemed effective in protecting the Inner Mongolian grasslands. The NNRs increased pixels with a sustainable trend 19.26% and 20.55% higher than the unprotected areas and the IMAR, respectively. The pixels with a CVNDVI < 0.1 (i.e., NDVI coefficient of variation) in the NNRs increased >35.22% more than those in the unprotected areas and the IMAR. The NDVI changes within the NNRs showed that 63.64% of NNRs had a more significant trend of greening than before the change point, which suggests a general greening in NNRs. We also found that the NNRs achieved heterogeneous effectiveness scores across protection types. Forest ecology protection and wildlife animal protection types are the most efficient, whereas wildlife vegetation protection is the least effective type. This study enriches the understanding of grassland conservation and sheds light on the future direction of the sustainable management of NNRs.

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Monthly rather than annual climate variation determines plant diversity change in four temperate grassland nature reserves

Cited by 3 publications

References 44 publications

Canopy structure: An intermediate factor regulating grassland diversity-function relationships under human disturbances

Canopy structure: An intermediate factor regulating grassland diversity-function relationships under human disturbances

Global patterns and drivers of spatial autocorrelation in plant communities in protected areas

Grassland Conservation Effectiveness of National Nature Reserves in Northern China

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