Landscape‐level vegetation conversion and biodiversity improvement after 33 years of restoration management in the Drentsche Aa brook valley

Liu, Weier; Fritz, Christian; Nonhebel, Sanderine; Everts, Henk F.; Grootjans, Ab P.

doi:10.1111/rec.13601

Cited by 4 publications

(5 citation statements)

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“…1 ). The Drentse Aa is a 30 km 2 stream valley that has had a long history of agricultural exploitation with high levels of nutrient amendments and large alterations in the hydrological functioning of the Drentsche Aa stream and its tributaries, amongst which the Anlooer Diepje brooklet ( Liu et al 2021 ).…”

Section: Project Descriptionmentioning

confidence: 99%

“…The sampling plots were situated in the valley of the brooklet "Anlooer" Diepje, a much intact natural stream that forms part of the stream-valley system "Drentsche Aa," which is situated in the north-eastern part of the Netherlands in the Province of Drenthe ( Liu et al 2021 ). The fields surrounding the brooklet mainly consist of grasslands on loamy sand with a slightly acidic pH.…”

Section: Introductionmentioning

confidence: 99%

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Sampling data of macro-invertebrates collected in grasslands under restoration succession in a lowland stream-valley system

Gerrits,

Hemerik

2024

BDJ

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Publication of data from past field studies on invertebrate populations is of high importance, as there is much added value for them to be used as baselines to study spatiotemporal population and community dynamics in these groups. Therefore, a dataset consisting of occurrence data on epigaeic invertebrates collected in 1996 was standardised into the Darwin core format and cross-checked in order to make it publicly available following FAIR data principles. With publication, it can contribute to the biodiversity assessment of terrestrial invertebrates, thereby improving the availability and accessibility of much-needed historical datasets on macro-invertebrates. Here, we present sampling event data on invertebrates from four grasslands taken out of agricultural production over the span of several decades, effectively displaying a chronosequence on the effects of agricultural extensification. The data were collected by means of a standardised sampling design using pyramid traps, pitfall traps and soil samples. The raw data presented in this data paper have not been published before. They consist of 20,000+ records of nearly 70,000 specimens from 121 taxonomic groups. The data were collected using a standardised field study set-up and specimens were identified by taxonomic specialists. Most groups were identified up to family level, with eight groups identified up to species level. The occurrence data are complemented by information on plant composition, meteorological data and soil physical characteristics. The dataset has been registered in the Global Biodiversity Information Facility (GBIF): http://doi.org/10.15468/7n499e

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Section: Project Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sampling data of macro-invertebrates collected in grasslands under restoration succession in a lowland stream-valley system

Gerrits,

Hemerik

2024

BDJ

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“…These responses are experiential, which can be physically or measured, economically valued, subjectively scored, or even evaluated by manual designed indicators. Many physical responses from vegetation change are spatially explicit, for example: the increase in terrestrial carbon sink (Lu et al, 2022); the shrinkage of water yield (Wang et al, 2021b); the change in remote benefits from wind erosion prevention and water erosion prevention (Hu et al, 2022; Thomaz et al, 2022); the change in ecohydrological processes such as water use efficiency (Ding et al, 2021; Shao et al, 2022); the gain of nutrient removal by marsh vegetation near cultivated land (Liu et al, 2022a); and the promotion in microclimatic conditions by the hydrologic cycle from the surrounding landscape (Cheng et al, 2022; Peng et al, 2022a). The livelihood responses to landscape restoration are also spatiotemporally different.…”

Section: The Response Of Geographical Processes To Landscape Restorationmentioning

confidence: 99%

The response of geographical processes to landscape restoration: China’s research progress

Liu

Han

et al. 2023

Progress in Physical Geography: Earth and Environment

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The UN Decade of Ecosystem Restoration (2021–2030) provides a new momentum for scaling up ecosystem restoration efforts to landscape restoration. China’s recent experience with transformative investment in landscape restoration provides invaluable guidance for the world. We retrospectively reviewed the scientific evidence on the responses of physical, ecological, and social processes to China’s landscape restoration under geographic heterogeneity and obtained four experiences and lessons. First, China’s forest landscape restoration has successfully promoted vegetation growth and enlarged the carbon sink. Second, landscape restoration has reduced the local water yield, while the regional responses of rainfall are still not clear. Third, the local conditions of soil erosion and habitat quality were largely improved by landscape restoration, while the decreases in soil moisture and streamflow demonstrated significant trade-offs among ecosystem services. Last, geographical differentiation existed in the local responses of livelihoods to landscape restoration strategies, and the win‒win solutions between human development and nature improvement under different landscape contexts were still uncertain. We summarize three additional questions as future prospects: what is the scale of the thresholds to prevent overshoot and cascading negative ecological effects? what are people’s prior needs from nature? considering that there may be no universal win‒win pathways, how to promote co-benefits based on regional human–nature relationships?

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“…It is important to highlight that in our experiment, the water table was kept constant above the peat surface to generate anoxic conditions and mimicked extended summer flooding. In the field, not all rewetted peatlands will experience prolonged and continuous summer flooding due to the lack of irrigation infrastructure or water availability (Liu et al 2020;Oestmann et al 2022). In that light, water levels in field conditions may lead to different GHG emission dynamics (Koebsch et al 2020), because water table fluctuations may affect oxidation and reduction processes by either stimulating CH 4 production or oxidation (Estop-Aragonés and Blodau 2012; Koebsch et al 2020).…”

Section: Challenges For Scaling Up Tsr For Peatland Rewettingmentioning

confidence: 99%

Removing 10 cm of degraded peat mitigates unwanted effects of peatland rewetting: a mesocosm study

et al. 2023

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Topsoil removal (TSR) is a management option performed before rewetting drained agricultural peatlands to reduce greenhouse gas (GHG) emissions and remove nutrients. Currently, its common practice to remove 30 to 60 cm of topsoil, which is labor-intensive, costly, and highly disruptive. However, optimal TSR depth for mitigating carbon emissions from rewetted peat soils has neither been determined nor linked to soil biogeochemical factors driving carbon emissions. We performed two

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Landscape‐level vegetation conversion and biodiversity improvement after 33 years of restoration management in the Drentsche Aa brook valley

Abstract: The following full text is a publisher's version.For additional information about this publication click this link. https://repository.ubn.ru.nl/handle/2066/246432Please be advised that this information was generated on 2022-07-25 and may be subject to change.

Cited by 4 publications

References 60 publications

Sampling data of macro-invertebrates collected in grasslands under restoration succession in a lowland stream-valley system

Sampling data of macro-invertebrates collected in grasslands under restoration succession in a lowland stream-valley system

The response of geographical processes to landscape restoration: China’s research progress

Removing 10 cm of degraded peat mitigates unwanted effects of peatland rewetting: a mesocosm study

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