Interaction between depth and duration matters: flooding tolerance of 12 floodplain meadow species

Gattringer, Johannes P.; Ludewig, Kurt; Harvolk‐Schöning, Sarah; Donath, Tobias W.; Otte, Annette

doi:10.1007/s11258-018-0850-2

Cited by 17 publications

(9 citation statements)

References 40 publications

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“…The relationship between water level change and plant population characteristics, species diversity and life history have been studied. Researches showed that fluctuation and its frequency are important factors affecting the growth, reproduction, and population distribution of wetland plants (Gattringer et al, 2018;Yao et al, 2021). Water fluctuation increased number of shoot nodes and shoot length of the communities, and may increase the vegetative spread of submerged macrophyte communities (Wang et al, 2016), and biomass accumulation in roots rather than in shoots and the ability to asexually propagate were important for the survival of these species during water fluctuation (Wei et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Air Warming and Drainage Influences Soil Microarthropod Communities

et al. 2021

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The degradation of wetlands due to climate change is of critical concern to human beings worldwide. Little is known about the potential synergistic effects of simultaneous water level reduction and warming on the underground wetland ecosystems. We conducted a 5-month field experiment in the Sanjiang Plain, utilizing open-top chambers and water level automatic control systems to investigate such synergistic effects. Soil springtails (Collembola) and mites (Acari) in the top (0–20 cm) soil layers were sampled to calculate their density, diversity, and to screen for indicator species. Warming significantly influenced soil springtail communities, slightly increasing the total density and total abundance under the natural water level while reducing them under a constant water level. In addition, Anurida maritima and Vertagopus laricis, two indicators for the natural water level, had the highest densities in the natural water level treatment and under the combined treatment of warming and natural water level, respectively. Cheiroseius sinicus and Malaconothrus tardus had the highest densities in warming under the 0 cm water level, significantly higher than the other three treatments. This study also revealed the importance of maintaining fluctuating water levels for microarthropod communities influenced by global warming, providing a theoretical basis for water level control in wetland restoration.

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Section: Discussionmentioning

confidence: 99%

Air Warming and Drainage Influences Soil Microarthropod Communities

et al. 2021

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“…Hal ini disebabkan karena terjadi akumulasi senyawa toksik, etilen dan ROS sehingga mempengaruhi tingkat kerusakan akar. Durasi penggenangan juga mempengaruhi metabolisme yang terjadi di akar dan tajuk tanaman sehingga berdampak pada biomassa akar dan tajuk (Gattringer et al, 2018). Pada penelitian ini tingkat kerusakan akar tertinggi terjadi pada penggenangan 10 hari diikuti penggenangan 3 hari dan tingkat kerusakan terendah terjadi pada penggenangan 1 hari.…”

Section: Bobot Segar Akar Dan Tajuk Tanamanunclassified

Pengaruh Durasi Penggenangan terhadap Pertumbuhan Vegetatif dan Waktu Berbunga Cabai Merah Keriting Capsicum annum (L.) Varietas Jacko

Insani

Darmanti

Saptiningsih

2021

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Cabai merah keriting (C. annum L.) merupakan salah satu komoditas holtikultura yang mempunyai nilai ekonomis tinggi. Musim penghujan di Indonesia menyebabkan lahan pertanian tergenang sehingga mempengaruhi pertumbuhan dan hasil panen cabai. Tujuan penelitian ini untuk mengkaji pengaruh durasi penggenangan terhadap pertumbuhan vegetatif dan waktu berbunga cabai merah keriting (C. annum L.) varietas Jacko. Perlakuan terdiri dari kontrol, penggenangan durasi 1 hari, 3 hari, dan 10 hari. Masing-masing perlakuan menggunakan 5 ulangan. Desain penelitian menggunakan RAL satu faktor yaitu durasi penggenangan. Analisis data setelah perlakuan penggenangan menggunakan uji T taraf signifikansi 5% dan analisis data setelah periode pemulihan 30 hari menggunakan one-way ANOVA yang dilanjutkan ke uji LSD taraf signifikansi 5%. Hasil penelitian menunjukkan terjadi penurunan panjang akar, jumlah daun, ukuran daun, perubahan warna daun, tinggi tanaman, bobot segar akar, dan bobot segar tajuk tanaman setelah perlakuan penggenangan. Diakhir periode pemulihan terjadi peningkatan pertumbuhan vegetatif pada semua perlakuan. Peningkatan durasi penggenangan menurunkan pertumbuhan vegetatif tanaman dan menunda waktu pembentukan tunas bunga. Pertumbuhan akar dan jumlah daun selama periode pemulihan merupakan faktor penting dalam adaptasi tanaman terhadap penggenangan. Capsicum annum L. is a horticultural commodity that has high economic value. The rainy season in Indonesia caused agricultural land to be flooded, which affected chili pepper's growth and yield. The purpose of this study was to examine the effect of flooding duration on vegetative growth and flowering time of C. annum L. var. Jacko. The treatments consisted of control, flooding duration of 1 day, three days, and ten days. Each treatment used five replications. The research design used one-factor RAL, namely the duration of flooding. Data analysis after flooding treatment used the T-test with a significance level of 5%, and data analysis after the recovery period used one-way ANOVA followed by the LSD test with a significance level of 5%. The results showed a decrease in root length, leaf number, leaf size, leaf color change, plant height, root fresh weight, and shoot fresh weight after flooding treatment. At the end of the recovery period, there was an increase in vegetative growth in all treatments. Increasing the duration of flooding reduces the vegetative growth of plants and delays the time of flower bud formation. Root growth and number of leaves during the recovery period are important factors in plant adaptation to flooding.

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“…These predictors are based on various experimental studies (e.g., Gattringer et al, 2017;Gattringer, Ludewig, Harvolk-Schöning, Donath, & Otte, 2018;Van Eck, Van De Steeg, Blom, & De Kroon, 2004) or observational studies (e.g., Leyer, 2005;Mosner et al, 2015). These predictors are based on various experimental studies (e.g., Gattringer et al, 2017;Gattringer, Ludewig, Harvolk-Schöning, Donath, & Otte, 2018;Van Eck, Van De Steeg, Blom, & De Kroon, 2004) or observational studies (e.g., Leyer, 2005;Mosner et al, 2015).…”

Section: Habitat Modelmentioning

confidence: 99%

“…For each vegetation plot, we generated 81 hydrological predictors (Appendix S2). These predictors are based on various experimental studies (e.g., Gattringer et al, 2017;Gattringer, Ludewig, Harvolk-Schöning, Donath, & Otte, 2018;Van Eck, Van De Steeg, Blom, & De Kroon, 2004) or observational studies (e.g., Leyer, 2005;Mosner et al, 2015). We derived the hydrological predictors either for the entire year or only for the vegetation period, and we considered up to 6 years before the monitoring year, thus resulting in n = 14 different variations.…”

Section: Habitat Modelmentioning

confidence: 99%

Modelling of rare flood meadow species distribution by a combined habitat surface water–groundwater model

et al. 2019

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Floodplains are highly complex and dynamic systems in terms of their hydrology.Thus, they comprise a wide habitat heterogeneity and therefore harbour highly specialized species. For future projections of habitat and species diversity, processbased models simulating ecohydrological conditions and resulting habitat and species distributions are needed. We present a new modelling framework that includes a physically based, surface water-groundwater model coupled with a habitat model.Using the model framework, we simulate the occurrence of 23 flood meadow plant species in a Rhine River floodplain. To benchmark the data, results are compared with a conventional approach with simple spatial hydrological information. Our results show that models with predictors obtained from the surface water-groundwater model are significantly more accurate for rare and endangered species, as well as for typical flood meadow species. A total of 15 hydrological predictors were defined, which look relevant and promising for a good prediction, but at the same time reflect very different hydrological conditions. The standard deviation of the groundwater level, wet soil conditions, and inundation belong to the most relevant predictors for an accurate prediction. Therefore, we recommend including more specific hydrological information in habitat models of species in complex floodplain ecosystems. Such spatial explicit habitat models can also open up further possibilities, such as the projection of global change impact studies or nature conservation planning.KEYWORDS ensembles of small models, flood meadow, habitat modelling, hydrological model, rare species, Rhine River, riparian ecosystems, surface water-groundwater model *These authors contributed equally to the work.

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Interaction between depth and duration matters: flooding tolerance of 12 floodplain meadow species

Cited by 17 publications

References 40 publications

Air Warming and Drainage Influences Soil Microarthropod Communities

Air Warming and Drainage Influences Soil Microarthropod Communities

Pengaruh Durasi Penggenangan terhadap Pertumbuhan Vegetatif dan Waktu Berbunga Cabai Merah Keriting Capsicum annum (L.) Varietas Jacko

Modelling of rare flood meadow species distribution by a combined habitat surface water–groundwater model

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