Kilian Obermeyer, M. Komainda, M. Kayser, J. Isselstein
{"title":"Exploring the potential of rising plate meter techniques to analyse ecosystem services from multi-species grasslands","authors":"Kilian Obermeyer, M. Komainda, M. Kayser, J. Isselstein","doi":"10.1071/CP22215","DOIUrl":null,"url":null,"abstract":"ABSTRACT Context. Continuous grazing in extensive grassland creates grazed and ungrazed patches, which are important for ecosystem service delivery. One possibility for optimising ecosystem services is to target a defined compressed sward height, which can be measured with rising plate meters supplied with internal global navigation satellite system (GNSS) receivers. Aims. We assessed the ability of a modern rising plate meter to map long-term patch structure in extensively grazed grassland as a means to improve estimation of phytodiversity at paddock scale as a paramount ecosystem service. Methods. The patch class proportions obtained from interpolating the georeferenced compressed sward height values were used to calculate phytodiversity indicators at paddock scale as determined by dry-weight ranking. In addition, a modern rising plate meter with internal GNSS receiver was compared with an established one without GNSS receiver. Key results. The mapping of the patch classes revealed decreasing proportions of tall patches with increasing stocking intensity. Phytodiversity at paddock scale depended on the proportions of respective patches, highlighting the importance of accurate mapping of patches for ecosystem service assessment. Conclusions. The new rising plate meter extends the utilisation of compressed sward height measurements into a spatial context. Patch size, spatial distribution of patches within a paddock and spatial clustering of patches, as well as repeated mapping over time, can be utilised to detect change and monitor long-term management schemes without the need for sophisticated remote-sensing applications. Implications. The combination of the new rising plate meter and dry-weight ranking extends grazing management towards biodiversity monitoring in an easy-to-learn approach.","PeriodicalId":51237,"journal":{"name":"Crop & Pasture Science","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Crop & Pasture Science","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1071/CP22215","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 3
Abstract
ABSTRACT Context. Continuous grazing in extensive grassland creates grazed and ungrazed patches, which are important for ecosystem service delivery. One possibility for optimising ecosystem services is to target a defined compressed sward height, which can be measured with rising plate meters supplied with internal global navigation satellite system (GNSS) receivers. Aims. We assessed the ability of a modern rising plate meter to map long-term patch structure in extensively grazed grassland as a means to improve estimation of phytodiversity at paddock scale as a paramount ecosystem service. Methods. The patch class proportions obtained from interpolating the georeferenced compressed sward height values were used to calculate phytodiversity indicators at paddock scale as determined by dry-weight ranking. In addition, a modern rising plate meter with internal GNSS receiver was compared with an established one without GNSS receiver. Key results. The mapping of the patch classes revealed decreasing proportions of tall patches with increasing stocking intensity. Phytodiversity at paddock scale depended on the proportions of respective patches, highlighting the importance of accurate mapping of patches for ecosystem service assessment. Conclusions. The new rising plate meter extends the utilisation of compressed sward height measurements into a spatial context. Patch size, spatial distribution of patches within a paddock and spatial clustering of patches, as well as repeated mapping over time, can be utilised to detect change and monitor long-term management schemes without the need for sophisticated remote-sensing applications. Implications. The combination of the new rising plate meter and dry-weight ranking extends grazing management towards biodiversity monitoring in an easy-to-learn approach.
期刊介绍:
Crop and Pasture Science (formerly known as Australian Journal of Agricultural Research) is an international journal publishing outcomes of strategic research in crop and pasture sciences and the sustainability of farming systems. The primary focus is broad-scale cereals, grain legumes, oilseeds and pastures. Articles are encouraged that advance understanding in plant-based agricultural systems through the use of well-defined and original aims designed to test a hypothesis, innovative and rigorous experimental design, and strong interpretation. The journal embraces experimental approaches from molecular level to whole systems, and the research must present novel findings and progress the science of agriculture.
Crop and Pasture Science is read by agricultural scientists and plant biologists, industry, administrators, policy-makers, and others with an interest in the challenges and opportunities facing world agricultural production.
Crop and Pasture Science is published with the endorsement of the Commonwealth Scientific and Industrial Research Organisation (CSIRO) and the Australian Academy of Science.