Resource Selection Function-Adjusted Carrying Capacity Informs Bison Conservation Management in the Imperial Mixed Grassland Ecosystem

IF 2.4 3区 环境科学与生态学 Q2 ECOLOGY
Thuy Doan , Stefano Liccioli , Maggi Sliwinski , Claude Samson , Bill Biligetu , Michelle Sawatzky , Xulin Guo
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引用次数: 0

Abstract

In Canada, plains bison (Bison bison bison) was assessed by The Committee on the Status of Endangered Wildlife in Canada as threatened. While bison are no longer at risk of demographic extinction, conservation programs remain challenged by the rarity of large populations and most bison are found in small, isolated, and confined herds. In this context, proper assessment of ecological carrying capacity is critical to inform habitat management and conservation efforts for species recovery. Although estimated food-limited carrying capacity is influenced by forage availability, forage requirements, and offtake proportion, it should also consider habitat selection by animals, especially inside confined settings to help avoid overgrazing. To support bison management in Grasslands National Park Canada, we integrated remote sensing, geographic information systems, and resource selection functions (RSFs) to examine variables that were potentially associated with bison habitat selection and return a comprehensive estimate of bison carrying capacity. Relevant variables were then integrated with estimates of forage availability using remote sensing and extrapolated to the bison containment scale. Factors of relevance to the RSFs include vegetation landscape units, slope, distance to water, fence, and road. In particular, bison selected for upland and sloped grasslands, which were characterized by the highest forage availability (1 064.5 kg ha−1 and 1 238.5 kg ha−1), while avoiding water in both growing and dormant seasons. The top-performing RSFs models in growing and dormant seasons were assessed using k-fold cross validation and achieved good predictive capacity (Spearman rank correlation [rs] ≥ 0.83, P < 0.01). Application of traditional clipping biomass samples and remote sensing derived variables is helpful in estimating annual forage quantity for bison (R2 = 0.75, P < 0.05). When accounting for bison resource selection, our model resulted in a carrying capacity estimate of about 0.0424 bison ha−1 or 764−770 bison (each requiring 12.2 kg forage/d), compared with 0.0587 bison ha−1 or 1 062 animals estimated when considering only the availability of forage. Such potential to increase carrying capacity to more than 1 000 individuals stresses the importance of testing management tools to shape bison grazing and increase forage utilization across a greater proportion of the 18 000-ha containment area. By improving our understanding of the interaction of this species with the mixed-grass prairie ecosystem, the integration of RSFs with estimates of carrying capacity can help inform conservation management of bison and multispecies at-risk habitat.

资源选择功能调整后的承载能力为帝国混合草地生态系统中的野牛保护管理提供信息
在加拿大,平原野牛(Bison bison bison)被加拿大濒危野生动物状况委员会评估为濒危物种。虽然野牛不再面临灭绝的危险,但保护计划仍然面临着大种群稀少的挑战,大多数野牛都是在小型、孤立和封闭的牛群中发现的。在这种情况下,正确评估生态承载力对于栖息地管理和物种恢复保护工作至关重要。虽然估计的食物有限承载能力受饲料可用性、饲料需求和摄取比例的影响,但也应考虑动物对栖息地的选择,尤其是在封闭环境中,以帮助避免过度放牧。为了支持加拿大草原国家公园的野牛管理,我们整合了遥感、地理信息系统和资源选择功能(RSFs),以检查可能与野牛栖息地选择相关的变量,并返回野牛承载能力的综合估计值。然后将相关变量与利用遥感技术估算的饲料可用性结合起来,并推断出野牛的容纳规模。与 RSF 相关的因素包括植被景观单元、坡度、与水、围栏和道路的距离。野牛尤其会选择高地和斜坡草地,因为这两种草地的草料供应量最高(分别为 1 064.5 千克/公顷和 1 238.5 千克/公顷),同时野牛在生长期和休眠期都会避开水源。使用 k 倍交叉验证评估了生长期和休眠期表现最佳的 RSFs 模型,结果表明这些模型具有良好的预测能力(Spearman rank correlation [rs] ≥ 0.83, P < 0.01)。应用传统的剪枝生物量样本和遥感衍生变量有助于估算野牛的年饲草量(R2 = 0.75,P <0.05)。当考虑到野牛的资源选择时,我们的模型得出的承载能力估计值约为 0.0424 头野牛公顷-1 或 764-770 头野牛(每头野牛每天需要 12.2 千克饲料),而只考虑饲料可用性时的估计值为 0.0587 头野牛公顷-1 或 1 062 头野牛。这种将承载能力提高到 1 000 多头野牛的潜力强调了在 18 000 公顷隔离区的更大范围内测试管理工具以塑造野牛放牧和提高饲料利用率的重要性。通过提高我们对野牛这一物种与混合草草原生态系统相互作用的认识,将 RSFs 与承载力估计值相结合,有助于为野牛和多物种濒危栖息地的保护管理提供信息。
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来源期刊
Rangeland Ecology & Management
Rangeland Ecology & Management 农林科学-环境科学
CiteScore
4.60
自引率
13.00%
发文量
87
审稿时长
12-24 weeks
期刊介绍: Rangeland Ecology & Management publishes all topics-including ecology, management, socioeconomic and policy-pertaining to global rangelands. The journal''s mission is to inform academics, ecosystem managers and policy makers of science-based information to promote sound rangeland stewardship. Author submissions are published in five manuscript categories: original research papers, high-profile forum topics, concept syntheses, as well as research and technical notes. Rangelands represent approximately 50% of the Earth''s land area and provision multiple ecosystem services for large human populations. This expansive and diverse land area functions as coupled human-ecological systems. Knowledge of both social and biophysical system components and their interactions represent the foundation for informed rangeland stewardship. Rangeland Ecology & Management uniquely integrates information from multiple system components to address current and pending challenges confronting global rangelands.
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