Lohse Kathleen A, Newburn David A, Opperman Jeff J, Merenlender Adina M
Department of Environmental Science, Policy and Management, University of California, Berkeley, California 94720, USA.
Ecol Appl. 2008 Mar;18(2):467-82. doi: 10.1890/07-0354.1.
Land use change can adversely affect water quality and freshwater ecosystems, yet our ability to predict how systems will respond to different land uses, particularly rural-residential development, is limited by data availability and our understanding of biophysical thresholds. In this study, we use spatially explicit parcel-level data to examine the influence of land use (including urban, rural-residential, and vineyard) on salmon spawning substrate quality in tributaries of the Russian River in California. We develop a land use change model to forecast the probability of losses in high-quality spawning habitat and recommend priority areas for incentive-based land conservation efforts. Ordinal logistic regression results indicate that all three land use types were negatively associated with spawning substrate quality, with urban development having the largest marginal impact. For two reasons, however, forecasted rural-residential and vineyard development have much larger influences on decreasing spawning substrate quality relative to urban development. First, the land use change model estimates 10 times greater land use conversion to both rural-residential and vineyard compared to urban. Second, forecasted urban development is concentrated in the most developed watersheds, which already have poor spawning substrate quality, such that the marginal response to future urban development is less significant. To meet the goals of protecting salmonid spawning habitat and optimizing investments in salmon recovery, we suggest investing in watersheds where future rural-residential development and vineyards threaten high-quality fish habitat, rather than the most developed watersheds, where land values are higher.
土地利用变化会对水质和淡水生态系统产生不利影响,然而,我们预测系统如何对不同土地利用方式(尤其是农村住宅开发)做出反应的能力,受到数据可用性以及我们对生物物理阈值理解的限制。在本研究中,我们使用空间明确的地块级数据,来研究土地利用(包括城市、农村住宅和葡萄园)对加利福尼亚州俄罗斯河支流中鲑鱼产卵基质质量的影响。我们开发了一个土地利用变化模型,以预测高质量产卵栖息地丧失的概率,并为基于激励措施的土地保护工作推荐优先区域。有序逻辑回归结果表明,所有三种土地利用类型都与产卵基质质量呈负相关,其中城市开发的边际影响最大。然而,由于两个原因,相对于城市开发,预测的农村住宅和葡萄园开发对降低产卵基质质量的影响要大得多。第一,土地利用变化模型估计,农村住宅和葡萄园的土地利用转换量是城市的10倍。第二,预测的城市开发集中在最发达的流域,这些流域的产卵基质质量已经很差,因此对未来城市开发的边际反应不太显著。为了实现保护鲑鱼产卵栖息地和优化鲑鱼恢复投资的目标,我们建议在未来农村住宅开发和葡萄园威胁高质量鱼类栖息地的流域进行投资,而不是在土地价值较高的最发达流域。