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Defourneaux M, Barrio IC, Boulanger-Lapointe N, Speed JDM. Long-term changes in herbivore community and vegetation impact of wild and domestic herbivores across Iceland. AMBIO 2024; 53:1124-1135. [PMID: 38402492 PMCID: PMC11182994 DOI: 10.1007/s13280-024-01998-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 01/18/2024] [Accepted: 02/08/2024] [Indexed: 02/26/2024]
Abstract
Changes in wild and domestic herbivore populations significantly impact extensive grazing systems, particularly in low productive environments, where increasing wild herbivore populations are perceived as a threat to farming. To assess the magnitude of these changes in Iceland, we compiled time series on herbivore populations from 1986 to 2020 and estimated changes in species densities, metabolic biomass, and consumption of plant biomass in improved lands and unimproved rangelands. We compared estimates of consumption rates to past and present net primary production. Overall, the herbivore community composition shifted from livestock to wildlife dominated. However, wild herbivores only contributed a small fraction (14%) of the total herbivore metabolic biomass and consumption (4-7%), and livestock dominated the overall herbivore biomass. These insights highlight the necessity of developing improved local integrated management for both wild and domestic herbivores where they coexist.
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Affiliation(s)
- Mathilde Defourneaux
- Faculty of Environmental and Forest Sciences, Agricultural University of Iceland, Árleyni 22, Keldnaholt, 112, Reykjavík, Iceland.
| | - Isabel C Barrio
- Faculty of Environmental and Forest Sciences, Agricultural University of Iceland, Árleyni 22, Keldnaholt, 112, Reykjavík, Iceland
| | | | - James D M Speed
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology, 7491, Trondheim, Norway
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Zhang Y, Qi S, Fan S, Jin Z, Bao Q, Zhang Y, Zhang Y, Xu Q, Chen G. Comparison of growth performance, meat quality, and blood biochemical indexes of Yangzhou goose under different feeding patterns. Poult Sci 2024; 103:103349. [PMID: 38157788 PMCID: PMC10765298 DOI: 10.1016/j.psj.2023.103349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 11/30/2023] [Accepted: 12/01/2023] [Indexed: 01/03/2024] Open
Abstract
The East China region is the main market for the breeding and consumption of meat geese in China, in order to provide data reference for small and medium-sized farms and farmers to choose breeding methods and growth performance. This study selected 300 Yangzhou geese as materials and determined the number of geese in each group according to different modes. The meat quality, blood biochemical indicators, and economic benefits of 4 common feeding methods (Group I: full concentrate feeding; Group II: concentrate feeding in the first stage + 3% fat addition in the later stage; Group III: concentrate feeding + pasture supplementation; Group IV: grazing feeding + concentrate) in East China were analyzed. The results are as follows: The average daily weight gain of Yangzhou geese in Group IV at 5 to 8 wk old was the highest, with the highest feed utilization rate. The body weight at 8 wk old was significantly higher than that of the group III (P < 0.05). The total mortality rate of Group I and II remained at a relatively low level, while the mortality rates of Group III and IV exceeded 17%. The SR, FECR, and FECW of female geese in Groups II, III, and IV were significantly higher than those in Control group I (P < 0.05). Different feeding methods have little effect on the quality of goose breast muscles, while in terms of leg muscles, Group II has the highest binding force, significantly higher than Group I (P < 0.05). The rate of chest muscle loss in group III was significantly higher than that in groups I and II (P < 0.05). However, the pH of leg muscles in groups I, II and III was significantly higher than that in group IV (P < 0.05). Group II has the highest protein and collagen content, and Group I has the highest fat content. Except for the significantly higher histidine content in Groups I And II compared to those in Groups III and IV (P < 0.05), there was almost no significant difference in amino acid content among the groups (P > 0.05). There was no significant difference in ALB/GLO content among the 3 groups of Groups II to IV, but they were all significantly higher than those of Group I (P < 0.05). There was no statistically significant difference in other indicators among the groups (P > 0.05). There was no significant difference in the content of Ca, Cu, Fe, P, Zn, and other elements in the muscles between the groups (P > 0.05). This study solved the problems of slow growth, poor meat performance, and low economic benefits in meat goose breeding, providing theoretical basis and data support for meat goose breeding enterprises and farmers to choose appropriate breeding modes.
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Affiliation(s)
- Yang Zhang
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, Jiangsu, China
| | - Shangzong Qi
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, Jiangsu, China
| | - Suyu Fan
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, Jiangsu, China
| | - Zhiming Jin
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, Jiangsu, China
| | - Qiang Bao
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, Jiangsu, China
| | - Yu Zhang
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, Jiangsu, China
| | - Yong Zhang
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University, Yangzhou 225009, Jiangsu, China
| | - Qi Xu
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, Jiangsu, China
| | - Guohong Chen
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, Jiangsu, China.
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Ohkawara K, Tajiri H. Effects of grazing on underground parts of marsh plants by wintering Middendorf's bean goose
Anser fabalis middendorffii
: Its role as a keystone species in plant communities. Ecol Res 2023. [DOI: 10.1111/1440-1703.12392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Affiliation(s)
- Kyohsuke Ohkawara
- Ecological Laboratory, Division of Biological Sciences, Graduate School of Natural Science and Technology Kanazawa University Kanazawa Japan
- Ecological Laboratory, School of Biological Science and Technology Kanazawa University Kanazawa Japan
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Düttmann H, Kruckenberg H, Bünte R, Delingat J, Emke D, Garlichs M, Korner P, Kowallik C, Lauenstein G, Südbeck P, Bairlein F. Grazing effects of wintering geese on grassland yield: A long‐term study from Northwest Germany. J Appl Ecol 2023. [DOI: 10.1111/1365-2664.14340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Affiliation(s)
- Heinz Düttmann
- Ministerium für Umwelt Energie und Klimaschutz Hannover Germany
| | - Helmut Kruckenberg
- Institute for Wetlands and Waterbird Research (IWWR) e.V. Verden (Aller) Germany
| | - Rolf Bünte
- Landwirtschaftskammer Niedersachsen, Bezirksstelle Ostfriesland Aurich Germany
| | - Julia Delingat
- Niedersächsisches Landesamt für Wasserwirtschaft, Küsten‐ und Naturschutz (NLWKN) Naturschutzstation Fehntjer Tief Ihlow Germany
| | - Dieter Emke
- Landwirtschaftskammer Niedersachsen, Bezirksstelle Ostfriesland Aurich Germany
| | - Mona Garlichs
- Landwirtschaftskammer Niedersachsen, Bezirksstelle Ostfriesland Aurich Germany
| | | | | | | | - Peter Südbeck
- Lower Saxon Wadden Sea National Park Authority Wilhelmshaven Germany
| | - Franz Bairlein
- Institute of Avian Research, Vogelwarte Helgoland (IfV) Wilhelmshaven Germany
- Max Planck Institute of Animal Behavior Radolfzell Germany
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Buitendijk NH, de Jager M, Hornman M, Kruckenberg H, Kölzsch A, Moonen S, Nolet BA. More grazing, more damage? Assessed yield loss on agricultural grassland relates nonlinearly to goose grazing pressure. J Appl Ecol 2022. [DOI: 10.1111/1365-2664.14306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Nelleke H. Buitendijk
- Department of Animal Ecology Netherlands Institute of Ecology (NIOO‐KNAW) Wageningen The Netherlands
- Department of Theoretical and Computational Ecology, Institute for Biodiversity and Ecosystem Dynamics University of Amsterdam Amsterdam The Netherlands
| | - Monique de Jager
- Department of Animal Ecology Netherlands Institute of Ecology (NIOO‐KNAW) Wageningen The Netherlands
| | - Menno Hornman
- Dutch Centre For Field Ornithology (Sovon) Nijmegen The Netherlands
| | - Helmut Kruckenberg
- Institute for Wetlands and Waterfowl Research (IWWR) e.V Verden (Aller) Germany
| | - Andrea Kölzsch
- Institute for Wetlands and Waterfowl Research (IWWR) e.V Verden (Aller) Germany
- Department of Migration Max Planck Institute of Animal Behavior Radolfzell Germany
- Department of Biology University of Konstanz Constance Germany
| | - Sander Moonen
- Institute for Avian Research Wilhelmshaven Germany
- Wageningen Environmental Research (WEnR), Team Animal Ecology Wageningen The Netherlands
| | - Bart A. Nolet
- Department of Animal Ecology Netherlands Institute of Ecology (NIOO‐KNAW) Wageningen The Netherlands
- Department of Theoretical and Computational Ecology, Institute for Biodiversity and Ecosystem Dynamics University of Amsterdam Amsterdam The Netherlands
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Climate-related drivers of nutrient inputs and food web structure in shallow Arctic lake ecosystems. Sci Rep 2022; 12:2125. [PMID: 35136177 PMCID: PMC8825857 DOI: 10.1038/s41598-022-06136-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 01/12/2022] [Indexed: 11/08/2022] Open
Abstract
In order to predict the effects of climate change on polar ecosystems, disentangling mechanisms of nutrient transfer in food webs is crucial. We investigated sources of nutrients in tundra lakes, tracing their transfer through the food web and relating the observed patterns to runoff, snow coverage, and the presence of migratory geese in lake catchments. C and N content (elemental and isotopic) of several food web components including Lepidurus arcticus (Notostraca, at the top of the lake food webs) in 18 shallow Arctic lakes was compared. Terrestrial productivity and geese abundance were key biotic factors that interacted with abiotic variables (snow coverage, lake and catchment size) in determining the amount and origin of nutrient inputs, affecting the trophic interactions among aquatic species, food chain length and nutrient flow in Arctic lake food webs. Decreasing snow coverage, increasing abundance and expansion of the geese's range are expected across the Arctic due to climate warming. By relating nutrient inputs and food web structure to snow coverage, vegetation and geese, this study contributes to our mechanistic understanding of the cascade effects of climate change in tundra ecosystems, and may help predict the response of lakes to changes in nutrient inputs at lower latitudes.
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