Unpredicted ecological and ecosystem services of biodiversity. Spontaneous vegetation, hedgerows, and maple trees as useful landscape components to increase predatory mite population in agroecosystems

Gavinelli, Federico; Fusaro, Silvia; Iván, Diego; Ragusa, S.; Paoletti, Maurizio G.

doi:10.1016/j.apsoil.2020.103584

Cited by 7 publications

(3 citation statements)

References 45 publications

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“…These findings were in contrast with other studies, which showed positive relations between higher landscape diversity or higher shares of SNHs promoting biological control of different pests in vineyards [ 16 , 138 , 139 , 140 ]. Several studies demonstrated that SNHs (e.g., hedgerows, maple trees) were an important natural reservoir for phytoseiid mites [ 34 , 141 ], from where they could migrate into nearby vineyards [ 35 , 142 , 143 ] after their extinction by pesticides or when vineyards were newly established. As Austrian viticultural landscapes are comparably diverse with small-scaled vineyards containing a high proportion of SNHs (10–55%) at the landscape-scale, pesticides (here fungicides) are the most probable limiting factor for predatory mites.…”

Section: Discussionmentioning

confidence: 99%

Unexpected Effects of Local Management and Landscape Composition on Predatory Mites and Their Food Resources in Vineyards

Möth

Walzer

Redl

et al. 2021

Insects

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Viticultural practices and landscape composition are the main drivers influencing biological pest control in vineyards. Predatory mites, mainly phytoseiid (Phytoseiidae) and tydeoid mites (Tydeidae), are important to control phytophagous mites (Tetranychidae and Eriophyidae) on vines. In the absence of arthropod prey, pollen is an important food source for predatory mites. In 32 paired vineyards located in Burgenland/Austria, we examined the effect of landscape composition, management type (organic/integrated), pesticide use, and cover crop diversity of the inter-row on the densities of phytoseiid, tydeoid, and phytophagous mites. In addition, we sampled pollen on vine leaves. Typhlodromus pyri Scheuten was the main phytoseiid mite species and Tydeus goetzi Schruft the main tydeoid species. Interestingly, the area-related acute pesticide toxicity loading was higher in organic than in integrated vineyards. The densities of phytoseiid and tydeoid mites was higher in integrated vineyards and in vineyards with spontaneous vegetation. Their population also profited from an increased viticultural area at the landscape scale. Eriophyoid mite densities were extremely low across all vineyards and spider mites were absent. Biological pest control of phytophagous mites benefits from less intensive pesticide use and spontaneous vegetation cover in vineyard inter-rows, which should be considered in agri-environmental schemes.

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Section: Discussionmentioning

confidence: 99%

Unexpected Effects of Local Management and Landscape Composition on Predatory Mites and Their Food Resources in Vineyards

Möth

Walzer

Redl

et al. 2021

Insects

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“…Land 2022, 11, 500 2 of 18 LULC change entails the conversion of physical entities/cover type (e.g., forest to cultivated land, or grazing land to cultivated land) and the form people utilize the land (e.g., rain-fed to irrigation agriculture) [6]. Conversions of natural ecosystems (i.e., natural forest, rangeland, wetlands) to modified/artificial ecosystems (i.e., agro-ecosystem, urban areas) are some of the most prominent and reported processes in the landscape transitions [7]. However, LULC changes have inherent variations and are non-linear in space and time [4,8].…”

Section: Introductionmentioning

confidence: 99%

Ecosystem Service Valuation along Landscape Transformation in Central Ethiopia

Biratu

Bedadi

Gebrehiwot

et al. 2022

Land

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Land degradation and discontinuation of ecosystem services (ES) are a common phenomenon that causes socio-economic and environmental problems in Ethiopia. However, a dearth of information is known about how ES are changing from the past to the future with regard to land use land cover (LULC) changes. This study aimed at estimating the values of ES based on the past and future LULC changes in central Ethiopia. Maximum likelihood classifier and cellular automata-artificial neuron network (CA-ANN) models that integrate the module for land use change evaluation (MOLUSE) were used to classify and predict LULC. The CA-ANN model learning and validation was employed to predict LULC of 2031 and 2051. Following LULC change detection and prediction, the total ES values were estimated using the benefit transfer method. Results revealed that forests, wetlands, grazing lands, shrub-bush-woodlands, and water bodies were reduced by 9755 ha (37%), 4092 ha (38.4%), 21,263 ha (81%), 63,161 ha (25.7%), and 905 ha (1%), respectively, between 1986 and 2021. Similarly, forests, wetlands, grazing lands, shrub-bush lands, and water bodies will experience a decline of 1.5%, 0.5%, 2.6%, 19.6%, and 0.1%, respectively. Meanwhile, cultivated lands, bare-lands, and built-up areas will experience an increase between 1986 and 2051. The estimated total ES values were reduced by US$58.3 and 85.4 million in the period 1986–2021 and 1986–2051. Food production and biological control value increased while 15 other ES decreased throughout the study periods. Proper land use policy with strategic actions, including enforcement laws for natural ecosystems protection, afforestation, ecosystems restoration, and conservation practices, are recommended to be undertaken to enhance multiple ES provision.

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“…We suggest that all the agricultural soils should be considered Anthrosols, regardless of the formation of specific diagnostic horizons, such as the irragric. This is because of the various consequences that agroecosystems have, such as for biodiversity [42], the loss of base cations [43], and environmental pollution [44]. Furthermore, the FAO-90 system is used in many countries as a basis for managing decisions [45,46], even though it is solely provided as a bridge among national classification systems [34].…”

Section: Soil Classification Development For Cultivated Land Usementioning

confidence: 99%

Particle Size Distribution and Depth to Bedrock of Chinese Cultivated Soils: Implications for Soil Classification and Management

Zhao

Xue

et al. 2023

Agronomy

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Although a number of studies have provided information on soil texture, soil classification, and depth to bedrock throughout China, few studies have combined this information, which is the basis for agricultural field management. A total of 81% of China’s cultivated lands are distributed among the Middle–Lower Yangtze Plain (18.2%), arid and semiarid North China Plain (18.2%), Northeast Plain (17%), Huang-Huai-Hai Plain (16.1%), and Yunnan–Guizhou Plateau (11.6%). The Huang-Huai-Hai Plain has the highest density of agricultural land (58.5%) and the greatest depth to bedrock of cultivated land (243–402 m). The lowest cultivated depth to bedrock (4–84 m) is concentrated in the Sichuan Basin and its surrounding regions. The main cultivated soil types are Anthrosols, Fluvisols, Cambisols, Phaeozems, Luvisols, Kastanozems, Leptosols, and Acrisols, under the main topsoil texture classes of loam, clay loam, silty clay loam, silt loam, sandy loam, and clay. The Fluvisols had the largest depth to bedrock (156 m) on the Middle–Lower Yangtze Plain and Huang-Huai-Hai Plain, with the highest silt soil distributions but comparable lower sand contents. The Yunnan–Guizhou Plateau had the highest clay soil content. The cultivation under Kastanozems and Leptosols on the Qinghai–Tibet Plateau and in arid and semiarid North China and under Phaeozems on the Northeast Plain should be restricted and managed very cautiously facing erosion risk. The higher percentages of Anthrosols are on the Middle–Lower Yangtze Plain (37%), in Southern China (32%), and on the Yunnan–Guizhou Plateau (26%). The same cultivation aim (i.e., more crop 0production) has produced a similar range of properties over time among the soils developed on agricultural fields, which are classified as Anthrosols. However, various soil types can still be found in agroecosystems because of the variations in climate and topography. Our results highlight that the agriculture-based soil climate and topography shape the interaction of the soil development and not only the pedogenic history of the soil development under variations in the soil depth to bedrock but also the cultivation of distinct pedogenic features. This study provides cultivated soil information on the depth to bedrock, soil classification, and soil texture in China, as well as instructions for field strategies for sustainable agricultural development.

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Unpredicted ecological and ecosystem services of biodiversity. Spontaneous vegetation, hedgerows, and maple trees as useful landscape components to increase predatory mite population in agroecosystems

Cited by 7 publications

References 45 publications

Unexpected Effects of Local Management and Landscape Composition on Predatory Mites and Their Food Resources in Vineyards

Unexpected Effects of Local Management and Landscape Composition on Predatory Mites and Their Food Resources in Vineyards

Ecosystem Service Valuation along Landscape Transformation in Central Ethiopia

Particle Size Distribution and Depth to Bedrock of Chinese Cultivated Soils: Implications for Soil Classification and Management

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