{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T20:33:57Z","timestamp":1775248437204,"version":"3.50.1"},"reference-count":47,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2018,9,14]],"date-time":"2018-09-14T00:00:00Z","timestamp":1536883200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Monitoring of aboveground net primary production (ANPP) is critical for effective management of rangeland ecosystems but is problematic due to the vast extent of rangelands globally, and the high costs of ground-based measurements. Remote sensing of absorbed photosynthetically active radiation (APAR) can be used to predict ANPP, potentially offering an alternative means of quantifying ANPP at both high temporal and spatial resolution across broad spatial extents. The relationship between ANPP and APAR has often been quantified based on either spatial variation across a broad region or temporal variation at a location over time, but rarely both. Here we assess: (i) if the relationship between ANPP and APAR is consistent when evaluated across time and space; (ii) potential factors driving differences between temporal versus spatial models, and (iii) the magnitude of potential errors relating to space for time transformations in quantifying productivity. Using two complimentary ANPP datasets and remotely sensed data derived from MODIS and a Landsat\/MODIS fusion data product, we find that slopes of spatial models are generally greater than slopes of temporal models. The abundance of plant species with different structural attributes, specifically the abundance of C4 shortgrasses with prostrate canopies versus taller, more productive C3 species with more vertically complex canopies, tended to vary more dramatically in space than over time. This difference in spatial versus temporal variation in these key plant functional groups appears to be the primary driver of differences in slopes among regression models. While the individual models revealed strong relationships between ANPP to APAR, the use of temporal models to predict variation in space (or vice versa) can increase error in remotely sensed predictions of ANPP.<\/jats:p>","DOI":"10.3390\/rs10091474","type":"journal-article","created":{"date-parts":[[2018,9,14]],"date-time":"2018-09-14T10:57:59Z","timestamp":1536922679000},"page":"1474","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Using APAR to Predict Aboveground Plant Productivity in Semi-Arid Rangelands: Spatial and Temporal Relationships Differ"],"prefix":"10.3390","volume":"10","author":[{"given":"Rowan","family":"Gaffney","sequence":"first","affiliation":[{"name":"US Department of Agriculture (USDA)\u2014Agricultural Research Service (ARS) Rangeland Resources and Systems Research Unit, Fort Collins, CO 80526, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6883-2442","authenticated-orcid":false,"given":"Lauren","family":"Porensky","sequence":"additional","affiliation":[{"name":"US Department of Agriculture (USDA)\u2014Agricultural Research Service (ARS) Rangeland Resources and Systems Research Unit, Fort Collins, CO 80526, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1865-2846","authenticated-orcid":false,"given":"Feng","family":"Gao","sequence":"additional","affiliation":[{"name":"US Department of Agriculture (USDA)\u2014Agricultural Research Service (ARS), Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8610-3040","authenticated-orcid":false,"given":"J.","family":"Irisarri","sequence":"additional","affiliation":[{"name":"LART-IFEVA, Facultad de Agronom\u00eda, Universidad de Buenos Aires, CONICET, Av. San Mart\u00edn 4453, Buenos Aires CP: 1417, Argentina"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6036-6042","authenticated-orcid":false,"given":"Mart\u00edn","family":"Durante","sequence":"additional","affiliation":[{"name":"INTA EEA Concepci\u00f3n del Uruguay, Entre R\u00edos 5461, Argentina"}]},{"given":"Justin","family":"Derner","sequence":"additional","affiliation":[{"name":"USDA-ARS Rangeland Resources and Systems Research Unit, Cheyenne, WY 82009, USA"}]},{"given":"David","family":"Augustine","sequence":"additional","affiliation":[{"name":"US Department of Agriculture (USDA)\u2014Agricultural Research Service (ARS) Rangeland Resources and Systems Research Unit, Fort Collins, CO 80526, USA"}]}],"member":"1968","published-online":{"date-parts":[[2018,9,14]]},"reference":[{"key":"ref_1","unstructured":"Bastian, C.T., Ritten, J.P., and Derner, J.D. (2018). Ranch Profitability Given Increased Precipitation Variability and Flexible Stocking. J. Am. Soc. Farm Manag. 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