Department of Plant Science, Penn State University, University Park, State College, Pennsylvania, United States of America.
Department of Ecosystem Science and Management, Penn State University, University Park, State College, Pennsylvania, United States of America.
PLoS One. 2020 Jul 27;15(7):e0235868. doi: 10.1371/journal.pone.0235868. eCollection 2020.
Cover crop mixtures can provide multiple ecosystem services but provisioning of these services is contingent upon the expression of component species in the mixture. From the same seed mixture, cover crop mixture expression varied greatly across farms and we hypothesized that this variation was correlated with soil inorganic nitrogen (N) concentrations and growing degree days. We measured fall and spring biomass of a standard five-species mixture of canola (Brassica napus L.), Austrian winter pea (Pisum sativum L), triticale (x Triticosecale Wittm.), red clover (Trifolium pratense L.) and crimson clover (Trifolium incarnatum L.) seeded at a research station and on 8 farms across Pennsylvania and New York in two consecutive years. At the research station, soil inorganic N (soil iN) availablity and cumulative fall growing degree days (GDD) were experimentally manipulated through fertilizer additions and planting date. Farmers seeded the standard mixture and a "farm-tuned" mixture of the same five species with component seeding rates adjusted to achieve farmer-desired services. We used Structural Equation Modeling to parse out the effects of soil iN and GDD on cover crop mixture expression. When soil iN and fall GDD were high, canola dominated the mixture, especially in the fall. Low soil iN favored legume species while a shorter growing season favored triticale. Changes in seeding rates influenced mixture composition in fall and spring but interacted with GDD to determine the final expression of the mixture. Our results show that when soil iN availability is high at the time of cover crop planting, highly competitive species can dominate mixtures which could potentially decrease services provided by other species, especially legumes. Early planting dates can exacerbate the dominance of aggressive species. Managers should choose cover crop species and seeding rates according to their soil iN and GDD to ensure the provision of desired services.
覆盖作物混播可以提供多种生态系统服务,但这些服务的提供取决于混播中组成物种的表达。从同一种子混播中,覆盖作物混播在不同农场的表现差异很大,我们假设这种差异与土壤无机氮(N)浓度和生长度日有关。我们测量了在研究站和宾夕法尼亚州和纽约州的 8 个农场种植的标准五物种油菜(Brassica napus L.)、奥地利冬豌豆(Pisum sativum L.)、黑麦草(x Triticosecale Wittm.)、红三叶草(Trifolium pratense L.)和红三叶草(Trifolium incarnatum L.)在秋季和春季的生物量。在研究站,通过施肥和种植日期,实验性地操纵土壤无机 N(土壤 iN)可利用性和秋季累积生长度日(GDD)。农民播种标准混合物和相同的五物种“农场调整”混合物,组件播种率调整为实现农民期望的服务。我们使用结构方程模型来解析土壤 iN 和 GDD 对覆盖作物混播表达的影响。当土壤 iN 和秋季 GDD 较高时,油菜在混播中占主导地位,尤其是在秋季。低土壤 iN 有利于豆科植物,而较短的生长季节有利于黑麦草。播种率的变化会影响秋季和春季的混播组成,但会与 GDD 相互作用,决定混播的最终表达。我们的结果表明,当覆盖作物种植时土壤 iN 可利用性较高时,高竞争力的物种可以主导混播,这可能会降低其他物种(尤其是豆科植物)提供的服务。提前种植日期会加剧侵略性物种的优势。管理者应根据土壤 iN 和 GDD 选择覆盖作物物种和播种率,以确保提供所需的服务。