Reduction in primary production followed by rapid recovery of plant biomass in response to repeated mid-season droughts in a semiarid shrubland

Ónodi, Gábor; Botta‐Dukát, Zoltán; Kröel-Dulay, Gy.; Lellei‐Kovács, Eszter; Kertész, Miklós

doi:10.1007/s11258-018-0814-6

Cited by 4 publications

(4 citation statements)

References 42 publications

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“…Extreme drought effect was evident neither with Cropscan nor with Sequoia measurements. These results are compliance with major findings from the VULCAN/INCREASE experiment which revealed that recurring drought treatment (precipitation exclusion) leads to mid-season reduction of aboveground biomass [6]. This is coherent with the results obtained by using NDVI from multispectral Sequoia on board of UAV.…”

Section: Discussionsupporting

confidence: 91%

“…Factors are controlled and effects are measured during a predetermined period or in few cases for the long run such as ANAEE [4] or Drought-Net [5]. At plot scale, climate manipulation experiments are a particularly effective way to study the ecological consequences of climate change [6]. However, they are normally conceived to collect measurements at a certain spatial scale, usually related to plot size or sampling method [4].…”

Section: Introductionmentioning

confidence: 99%

“…Extreme drought events can reduce primary production [22] and community functional diversity [23]. At plot scale, climate manipulation experiments are particularly effective way to study ecological consequences of climate change, especially long-term multi-site field experiments [6,24]. This is the case of the ExDRain experiment set out at Kiskun LTER station where rain manipulation is applied since 2014 for several plots after the application of extreme drought event for some of them [25].…”

Section: Introductionmentioning

confidence: 99%

“…Cropscan has 8 narrow (10 nm bandwidth) spectral bands centred at 460, 510, 560, 610, 660, 710, 760 and 810 nm (bands 660 and 810 are usually used for NDVI calculation). However, the plant community is composed by several grassland species and the response to treatments is very heterogeneous [6] due to different phenology and structure. Plots are larger than Cropscan footprint measurement and UAV complementary information might help in providing ancillary information enhancing the assessment on treatments effects.…”

Section: Introductionmentioning

confidence: 99%

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Enhancement of Ecological Field Experimental Research by Means of UAV Multispectral Sensing

Díaz-Delgado

Ónodi

Kröel‐Dulay

et al. 2019

Drones

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Although many climate research experiments are providing valuable data, long-term measurements are not always affordable. In the last decades, several facilities have secured long-term experiments, but few studies have incorporated spatial and scale effects. Most of them have been implemented in experimental agricultural fields but none for ecological studies. Scale effects can be assessed using remote sensing images from space or airborne platforms. Unmanned aerial vehicles (UAVs) are contributing to an increased spatial resolution, as well as becoming the intermediate scale between ground measurements and satellite/airborne image data. In this paper we assess the applicability of UAV-borne multispectral images to provide complementary experimental data collected at point scale (field sampling) in a long-term rain manipulation experiment located at the Kiskun Long-Term Socio-Ecological Research (LTSER) site named ExDRain to assess the effects on grassland vegetation. Two multispectral sensors were compared at different scales, the Parrot Sequoia camera on board a UAV and the portable Cropscan spectroradiometer. The NDVI values were used to assess the effect of plastic roofs and a proportional reduction effect was found for Sequoia-derived NDVI values. Acceptable and significant positive relationships were found between both sensors at different scales, being stronger at Cropscan measurement scale. Differences found at plot scale might be due to heterogeneous responses to treatments. Spatial variability analysis pointed out a more homogeneous response for plots submitted to severe and moderate drought. More investigation is needed to address the possible effect of species abundance on NDVI at plot scale contributing to a more consistent representation of ground measurements. The feasibility of carrying out systematic UAV flights coincident or close to ground campaigns will certainly reveal the consistency of the observed spatial patterns in the long run.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Enhancement of Ecological Field Experimental Research by Means of UAV Multispectral Sensing

Díaz-Delgado

Ónodi

Kröel‐Dulay

et al. 2019

Drones

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Impacts of multiple temporal and spatial scale drought on grassland vegetation dynamics in the Tibetan Plateau region of China, 1982–2015

Wang

2024

Environmental Development

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Input database related uncertainty of Biome-BGCMuSo agro-environmental model outputs

Fodor

Pásztor

Szabó

et al. 2021

International Journal of Digital Earth

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Gridded model assessments require at least one climatic and one soil database for carrying out the simulations. There are several parallel soil and climate database development projects that provide sufficient, albeit considerably different, observation based input data for crop model based impact studies. The input database related uncertainty of the Biome-BGCMuSo agro-environmental model outputs was investigated using three and four different gridded climatic and soil databases, respectively covering an area of nearly 100.000 km 2 with 1104 grid cells. Spatial, temporal, climate and soil database selection related variances were calculated and compared for four model outputs obtained from 30-year-long simulations. The choice of the input database introduced model output variability that was comparable to the variability the year-to-year change of the weather or the spatial heterogeneity of the soil causes. Input database selection could be a decisive factor in carbon sequestration related studies as the soil carbon stock change estimates may either suggest that the simulated ecosystem is a carbon sink or to the contrary a carbon source on the long run. Careful evaluation of the input database quality seems to be an inevitable and highly relevant step towards more realistic plant production and carbon balance simulations.

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Reduction in primary production followed by rapid recovery of plant biomass in response to repeated mid-season droughts in a semiarid shrubland

Abstract: Reduction in primary production followed by rapid recovery of plant biomass in response to repeated mid-season droughts in a semiarid shrubland.

Cited by 4 publications

References 42 publications

Enhancement of Ecological Field Experimental Research by Means of UAV Multispectral Sensing

Enhancement of Ecological Field Experimental Research by Means of UAV Multispectral Sensing

Impacts of multiple temporal and spatial scale drought on grassland vegetation dynamics in the Tibetan Plateau region of China, 1982–2015

Input database related uncertainty of Biome-BGCMuSo agro-environmental model outputs

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