Arid
DOI10.1002/ecs2.1822
Modeling dynamics of native and invasive species to guide prioritization of management actions
Lohr, Cheryl A.1; Hone, Jim2; Bode, Michael3; Dickman, Christopher R.4; Wenger, Amelia3; Pressey, Robert L.3
通讯作者Lohr, Cheryl A.
来源期刊ECOSPHERE
ISSN2150-8925
出版年2017
卷号8期号:5
英文摘要

Action to achieve biodiversity conservation is usually expensive, and resources are limited relative to conservation goals. Prioritizing management investment therefore is essential if important goals are to be achieved. New software, the "IslandsDSS," has been developed to prioritize the mix of management actions that will optimally mitigate biodiversity loss. Here, we present novel temporally dynamic models of species population growth, interaction, and management efficacy that have been incorporated into the software. We have analyzed the sensitivity of these models to uncertainty in four parameters: maximum rate of population growth (r(max)), coefficient of species interaction (alpha(ij)), quantity of food resources required to maintain species equilibrium (J(i)), and the coefficient of management efficacy (theta(i)). We focused on the projected abundance of species by simulating interactions among one to four species, both invasive and native, on a hypothetical arid-tropical island that is 1000 ha in size and consists of five evenly distributed habitat types. Sensitivity analysis revealed significant variation in species abundance due to uncertainty in rmax (coefficient = 51.34; P < 0.001) and alpha(ij) (N-i = -16.48; P = 0.43; N-j = -2.33(2); P = 2.00(-16)), a significant but potentially stabilizing effect of modeling multiple species simultaneously (coefficient = -65.80; P = 2.00(-16)), and mirroring by species response trajectories of threat mitigation trajectories. There are several benefits of using temporally dynamic models of species responses to threat mitigation in systematic conservation planning including increased accuracy in estimates of the cost of management; locally relevant understanding of lag-times between threat establishment and unacceptable impacts on valued species; understanding of threat abundance and required intensity of control for biodiversity features to persist; site-and species-specific understanding of time to eradication and threat recovery when management is interrupted; and an improved understanding of the opportunity cost, in terms of threat levels and responses of native species, for islands not selected for management. Our models and associated software are based on decades of ecological research, potentially useful in a wide range of situations, including islands, the mainland, and marine regions, and we suggest that they provide managers with novel and powerful tools to efficiently prioritize conservation actions via the new systematic conservation planning software, " Islands DSS."


英文关键词conservation planning invasive species sensitivity analysis species response trajectory threat mitigation
类型Article
语种英语
国家Australia
收录类别SCI-E
WOS记录号WOS:000402472300020
WOS关键词CONSERVATION ; DIVERSITY ; BIODIVERSITY ; EXTINCTIONS ; EFFICIENCY ; PREDATORS ; STABILITY ; KNOWLEDGE ; IMPACTS ; RATS
WOS类目Ecology
WOS研究方向Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/198545
作者单位1.Dept Pk & Wildlife, Sci & Conservat Div, 37 Wildlife Pl, Woodvale, WA 6026, Australia;
2.Univ Canberra, Inst Appl Ecol, Canberra, ACT 2601, Australia;
3.James Cook Univ, Australian Res Council Ctr Excellence Coral Reef, Townsville, Qld 4811, Australia;
4.Univ Sydney, Sch Life & Environm Sci, Sydney, NSW 2006, Australia
推荐引用方式
GB/T 7714
Lohr, Cheryl A.,Hone, Jim,Bode, Michael,et al. Modeling dynamics of native and invasive species to guide prioritization of management actions[J],2017,8(5).
APA Lohr, Cheryl A.,Hone, Jim,Bode, Michael,Dickman, Christopher R.,Wenger, Amelia,&Pressey, Robert L..(2017).Modeling dynamics of native and invasive species to guide prioritization of management actions.ECOSPHERE,8(5).
MLA Lohr, Cheryl A.,et al."Modeling dynamics of native and invasive species to guide prioritization of management actions".ECOSPHERE 8.5(2017).
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