Open Access
How to translate text using browser tools
19 January 2022 Post-Fire Effects on the Globally Imperiled Chapin Mesa Milkvetch (Astragalus schmolliae), 2001–2019
Renée J. Rondeau, David G. Anderson, Jill E. Handwerk, Tova Spector
Author Affiliations +
Abstract

Chapin Mesa milkvetch (Astragalus schmolliae) is an endemic, obligate pinon-juniper̴ woodland species that occupies approximately 2500 ha in southwest Colorado. In 2002 a crown fire burned 38% of the known distribution in Mesa Verde National Park. Initially, Chapin Mesa milkvetch (CMM) responded positively to the 2002 burn, increasing in density compared to unburned areas. Nine years post-fire (2011), the density in burned areas was nearly twice that of unburned transects. By 2013, the pattern had reversed, and by 2019, the juvenile and adult population in the burned area was reduced to half that of unburned (0.046 plants/m2 vs. 0.089 plants/m2). Recruitment of CMM in burned areas in 2019 was near zero: 4 seedlings in 63 burned transects vs. 6079 seedlings in 105 unburned transects. The downward trend in CMM density in the burn is likely associated with intensified competition from the dense grass cover. Prior to the burn, the grass cover in the to-be-burned area was qualitatively similar to that in present day unburned areas, which is 15%, almost exclusively muttongrass (Poa fendleriana), a shallow-rooted bunch grass. In 2019, cheatgrass (Bromus tectorum) and western wheatgrass (Pascopyrum smithii), seeded in 2002, dominated the cover in the burn, averaging 45% cover, collectively. Management practices that assist the recovery of burned pinon-juniper̴ woodland (and therefore CMM), as well as preserving the remaining old-growth pinon-juniper̴ stands, are likely key to CMM long-term survival.

INTRODUCTION

The pinon-juniper̴ ecosystem, covering 48 million acres in Nevada, Utah, Colorado, Arizona, and New Mexico (Miller et al. 2019), is vitally important for biodiversity, and is an important cultural element for Native Americans (Floyd 2003). Nearly 25 bird species depend on this habitat type (Salaz and Wickersham 2016), including pinon̴ jay (Gymnorhinus cyanocephalus Wied), gray vireo (Vireo vicinior Coues), and juniper titmouse (Baeolophus ridgwayi, Richmond)—all pinon-juniper̴ obligates that are declining (Boone et al. 2018). A number of rare plant species occur within this landscape, including Chapin Mesa milkvetch (CMM; Astragalus schmolliae C.L. Porter). The outlook for the pinon-juniper̴ system is fraught, as climate change may eliminate or alter current stands, primarily due to a hotter and drier climate and lower available soil moisture, leading to extreme tree mortality, increased fire frequency, and insect outbreaks (Breshears et al. 2005; Adams et al. 2009; Rondeau et al. 2017; Andrews et al. 2018; Friggens et al. 2018). Stand-replacement fire intervals in pinon-juniper̴ habitat at Mesa Verde National Park (NP) were about 400 y prior to 1995 (Erdman 1970; Floyd et al. 2004), after which Floyd et al. (2004) stated that the strong post-1995 uptick in Mesa Verde NP fires was an increase in frequency and size, likely due to a change in climate. Prior to 1996, most fires at Mesa Verde NP were small (<0.1–4 ha). Nearly one-half of the pinon-juniper̴ stands in Mesa Verde NP have burned in the past 30 y, more than three times the total area burned in the previous century (Floyd et al. 2021).

Recovery of a pinon-juniper̴ woodland stand after a large fire is on the order of centuries rather than decades (Erdman 1970; Huffman et al. 2012). Erdman (1970) found that at Mesa Verde NP, several centuries passed before the structure began to resemble an old-growth woodland. Huffman et al. (2012) observed that aggregate structural complexity generally increased as a linear function of time since fire, with the most complex woodlands occurring after 250 y. The seral stages that a site experiences may vary based on pre-fire vegetation as well as establishment of nonnative species (Floyd et al. 2021). Erdman (1970) noted that perennial grasses dominated the early stages of a burned woodland, reaching a peak around 4 y post-fire. Under natural regeneration, these grasses consisted of muttongrass (Poa fendleriana (Steud.) Vasey), Indian ricegrass (Achnatherum hymenoides (Roemer & J.A. Schultes) Barkworth), and squirreltail grass (Elymus elymoides (Raf.) Swezey), all native bunch grasses that occur in the Park's pinon-juniper̴ stands. After about 25 y, shrubs (e.g., bitterbrush, [Purshia tridentata (Pursh) DC.], banana yucca [Yucca baccata Torr.], and mountain mahogany [Cercocarpus montanus Raf.]) became the dominant vegetation. Concurrently, seedlings of pinon̴ pine (Pinus edulis Engelm.) and Utah juniper (Juniperus osteosperma (Torr). Little) established, generally in the shade of these nurse-plant shrubs. After several centuries, the trees dominated and the understory was composed of sparse shrubs, grasses, and forbs. Erdman's (1970) mature forest description and persistent woodland conditions, put forth by Huffman (2012), mirrors the old-growth stands that currently exist in Mesa Verde NP. The majority of the CMM population occurs in old-growth pinon-juniper̴ stands, thus the post-fire changes are of interest.

Plant Description

CMM is among the most restricted of Colorado's plant species. The species consists of one population and a few small peripheral subpopulations. It is endemic to Chapin Mesa and Park Mesa, a minor portion of Mesa Verde NP and Ute Mountain Ute tribal land. A recent genetic study indicated that CMM had a high level of interconnectedness through gene flow, likely mediated through pollinator behavior. At the current time, it does not appear to be suffering genetic consequences from its small range size (McCauley and Cortes-Palomec, pers. comm.). The primary population occupies about 2500 ha on Chapin Mesa of which 806 ha is within Mesa Verde NP. It grows primarily in deep red loess soil characterized as a clay to clay loam (NRCS 2017). Although this species is globally rare, it is one of the densest forbs on Chapin Mesa, with an estimated 500,000 plants in the Park portion of the mesa (Anderson 2001). It is currently proposed as threatened by the USFWS (2020) and is given a global conservation status rank of G1 (Globally Critically Imperiled) by Colorado Natural Heritage Program (CNHP 2020). The International Union for the Conservation of Nature gives this species its highest global ranking: Critically Endangered (Contu 2012).

CMM is an herbaceous perennial, estimated to live 2–3 decades or more, based on 100% survival rate of adult plants observed for 6 y in unburned areas and caudices with up to 39 annuli (Rondeau pers. obs.). The taproot of mature plants extends down 35–55 cm before sending out lateral roots (Friedlander 1980; Rondeau pers. obs.), enabling the plant to exploit water resources moderately deep in the soil, which are replenished by winter moisture. Above ground, mature stems reach a height of around 25 cm, arising from a woody caudex that is buried approximately 5–10 cm below the soil surface. The aboveground stems wither away in the fall, and new sprouts arise in the spring. This subterranean caudex is insulated from the heat of fires; thus, CMM individuals routinely survive fires. After severe winter drought years, most plants remain dormant throughout the following growing season, with no visible growth. (Dormancy has also been recorded in other Astragalus species, e.g., Gremer 2010.) Therefore, apparent density (number of visible plants per square meter) will reflect true density (live plants/m2) only in wetter years; in this work “density” records the number of emerged plants (apparent density).

In favorable years, both flowers and fruits are present in late May and fruits expel their seeds in late June. The species is characterized by showy, bee-pollinated white flowers and downward-curving pods. Seed production can be robust in favorable years (Anderson 2004) and seed longevity likely extends over many years (Anderson 2004). Seeds germinate in April and May, and occasionally in June; however, seedlings may be completely absent in dry springs, such as 2001. Seedlings put much of their energy into growing a long taproot, rather than aboveground biomass, and seldom reach more than 7 cm in height. Plants can begin to flower when they are 5 y old (Rondeau pers. obs.). CMM is considered highly vulnerable to climate change due to its restricted range and increased habitat vulnerability (Handwerk et al. 2015).

Post-fire Management

Floyd et al. (2006) documented an invasion of musk thistle (Carduus nutans L.) and cheatgrass (Bromus tectorum L.) following fires (1989, 1996, and 2000) and concluded that post-fire seeding would reduce musk thistle. Following the 2002 Long Mesa fire, Mesa Verde NP managers seeded part of the burn in 2003 with five species of native bunch grasses: slender wheatgrass (Elymus trachycaulus (Link) Gould ex Shinners), muttongrass, Sandberg bluegrass (Poa secunda Presl.), Indian ricegrass, and squirreltail, and one rhizomatous grass, western wheatgrass (Pascopyrum smithii (Rydb.) A. Löve). The seed mix may have had incidental nonnative cheatgrass; however, it most likely colonized the burned areas from the adjacent Chapin 5 fire which burned in 1996 and had a considerable cheatgrass component (Floyd et al. 2006). The seed mix was largely intended to reduce weed invasions and erosion, and restore natural post-fire succession. Western wheatgrass, while native to Mesa Verde NP, does not currently occur in the CMM population within the pinon-juniper̴ old-growth (Kuhn and Anderson 2012; Rondeau pers. obs.). The current post-fire grassland on Chapin Mesa is vastly different from the one Erdman (1970) described, as it is dominated by cheatgrass and western wheatgrass rather than native bunch grasses. The novel invaders are successful competitors for soil moisture, thereby exhibiting increased biomass, both above and below ground (e.g., Weaver 1919; Harris and Wilson 1970; Melgoza et al. 1990). This novel system likely competes with CMM for limited soil moisture and nutrients. It may also retard establishment of shrubs, considered nurse plants for pinon̴ pine seedlings.

Friedlander (1980) concluded that the abundance of CMM was due to lack of fires. He predicted that fires might significantly reduce densities during post-fire successional periods, primarily due to seed mortality from high fire temperatures. However the opposite occurred following the 1996 Chapin 5 fire, which burned old-growth pinon-juniper̴ woodlands. Other species of Astragalus have been known to germinate after fires (e.g., Hessl and Spackman 1995; Fotheringham and Keely 1998; Schwegman 1998; Weeks 2004: pp. 47–70). Researchers associated with the BAER (Burned Area Emergency Response) monitoring program detected an enhancement of growth, flowering, and seed set as well as seedling recruitment after fire (Floyd et al. 1999). Infrequent stand replacing fire stimulated a CMM population on Park Mesa, which showed some decline in density in the next 8 y (Funicelli and Floyd-Hanna, pers. comm.). Floyd et al. (1999) and associates suggested that further studies be conducted to assess the impact of possible competition from seeded native perennial grasses.

It is critical that managers have a clear understanding of short- and long-term consequences of fire. In this study, we began monitoring CMM in 2001, one year prior to the Long Mesa Fire. We had five main research questions: (1) Is seasonal precipitation an important variable in annual CMM emergence? (2) How does CMM density change over time in burned vs. unburned areas? (3) How does CMM recruitment change over time in burned vs. unburned areas? (4) How did the herbaceous ground cover, in CMM habitat, change over time, within the burned area? and (5) How does the root structure of plant communities, within CMM habitat, differ between burned and unburned areas? All of these factors are increasingly relevant to researchers and managers faced with increased wildland fires in the pinon-̴ juniper woodlands.

METHODS

We sampled CMM seedlings, juveniles, and adults and collected herbaceous cover data, within burned and unburned transects in years 2001, 2002, 2003, and 2011–2019. We conducted a literature review of root biomass for the dominant species in burned and unburned transects.

Site Description

Chapin Mesa is approximately 14 km long by 1.5 km wide, highest in the north (2290 m) and lowest in the south (2000 m). The highest points on the mesa are generally in the middle of the mesa, sloping slightly to the east and west before reaching cliff edges on both sides. Soils near the center top of the mesa are deep and fine, with few rock fragments and slow water infiltration (Rondeau pers. obs.), whereas soils closer to the cliffs are shallower and coarser with a high percentage of small rock fragments and fast infiltration (Rondeau pers. obs.). Prior to the 2002 Long Mesa Fire, the entire mesa was dominated by old-growth pinon-juniper̴ woodlands (Floyd et al. 2004; Figure 1A). Shrubs occupied a lesser extent than trees, with bitterbrush occurring more often than Utah serviceberry (Amelanchier utahensis Koehne) and mountain mahogany. The ground cover was generally sparse (<20% cover), dominated by muttongrass, prickly pear, and CMM. Bare ground was abundant and often covered by biological soil crust. Figure 1 provides photographs that depict old-growth pinon-juniper,̴ 1 y post-fire and 17 y post-fire.

Areas that burned in 2002 (Figure 1B) had standing dead trees 17 y post-fire (Figure 1C). The burned landscape differed from the woodland in that it was dominated by cheatgrass, western wheatgrass, muttongrass, and smooth brome (Bromus inermis Leyss.), and possessed little open ground and only a low cover of biological soil crust. By 2019 a sparse shrub component had emerged, occupying approximately 1–3% of the landscape: the most common shrubs were bitterbrush, banana yucca, rabbitbrush (Ericameria nauseosa (Pall. ex Pursh) G.L. Nesom & Baird), and Utah serviceberry.

Cultural History: Chapin Mesa has a long and rich cultural history. From circa 500 to 1300 C.E. this region was home to a group of farming and hunting people (Ancestral Puebloans; Herring et al. 2014). Archeologists documented that they raised corn, beans, and squash on Chapin Mesa and utilized the wild seeds, nuts, roots, and greens of their woodland environments (Flint-Lacey 2003). Pinon̴ and juniper trees were used as building materials, firewood, and various other objects. Hundreds of Ancestral Pueblo settlements on Chapin Mesa in Mesa Verde NP have been recorded by archeologists. The pinon-̴ juniper stands on the mesa were altered to provide space for their farmsteads and villages that contained numerous pit structures, aboveground rooms, storage features, and agricultural fields. It is unknown if CMM was utilized by the Ancestral Pueblo people, however the seeds are not known to be poisonous (Rondeau pers. obs.).

Figure 1.

A: Representative photo of old-growth pinon-juniper̴ woodland (flags mark Chapin Mesa milkvetch [CMM] individuals). B: One-year post burn with CMM flowering (closeup on left). C: 17 y post-fire; cheatgrass is brownish-red and western wheatgrass is green (pin flags mark CMM).

img-z3-8_04.jpg

Climate: The Chapin Mesa weather station is located at the northern edge of CMM habitat and was used to describe the climate. The climate (Colorado Climate Center 2020;  http://climate.colostate.edu/data_access.html) is best characterized as cool winters, winter days having an average low of -7 °C and an average high of 5 °C. Summers experience an average high of 28 °C and low of 12 °C. Annual precipitation averages 468 mm, but is highly variable (251–670 mm). Winter precipitation averages 117 mm, primarily in the form of snow, and summer averages 107 mm. May (31 mm) and June (13 mm) are the driest months. During the course of this study (2001–2019), average annual temperature was 0.8 °C warmer than the 1971–2000 average and annual precipitation was close to the natural range of variation. Droughts are fairly common; the last 2 decades experienced significant long and extreme droughts in 2002, 2012, and 2018 (Abatzoglou et al. 2017; accessed 2020 from  https://droughtindexportal.colorado.edu/).

Figure 2.

Chapin Mesa study area within Mesa Verde NP. Sample plot locations: transects, resurveyed transects, and grass line-point intercept (LPI) plots.

img-z4-1_04.jpg

Study Design and Field Methods

Precipitation data from Mesa Verde NP on Chapin Mesa (Colorado Climate Center 2020) were used to identify a 30 y average (1971–2000) for winter (Dec–Feb), spring (Mar–May), summer (Jun–Aug), and fall (Sep–Nov) seasons. We compiled precipitation data for each sampling year as well. We used this information to determine if seasonal precipitation was correlated with annual variation in (observable) density counts of all age classes pooled.

To estimate density of Chapin Mesa milkvetch we established 197 belt transects (10 × 100 m; Figure 2). All transects were within Mesa Verde NP on Chapin Mesa. We established the first line of transects at the southern park boundary, running east to west. Transects on an east–west line were contiguous to each other, that is, where one transect ended, the next transect began. We placed subsequent lines of transects 500 m north of the previous line (Figure 2) to the limit of the distribution of CMM. We conducted density sampling of 197 transects in May of 2001 and 2019. For each transect, a center line was established on the northing UTM (NAD83) and we counted all plants within a 5 m perpendicular distance on both sides of the transect center line. We tabulated seedlings, noted by the presence of cotyledons, separately from juvenile and adult plants. We report density as the number of visible plants/m2. The 2002 Long Mesa fire completely burned 63 transects; 29 transects were either partially burned in 2002 or partially mechanically treated after 2002 to reduce the fire risk. We removed these 29 transects from our analysis. Thus in 2019 we resampled 63 burned (described as to-be-burned in 2001 data) and 105 unburned transects.

In order to determine temporal changes in density, we resampled a suite of nonrandomly, logistically feasible, subset of transects that represented the north–south and east–west gradient. Sampling occurred in 2003 and annually from 2011 to 2019 (Figure 2), utilizing the same methods as above (n = 17 burned transects; 22 unburned). We label these as “trend density transects.”

We estimated grass cover in burned areas in 2011 and 2015–2019 using the line-point intercept method, at 0.5 m intervals (Canefield 1941). In 2011 this was based on 82 randomly selected, 60 m long transects on Chapin Mesa (Figure 2), 61 burned and 21 unburned; measuring the dominant species: cheatgrass, western wheatgrass, smooth brome, muttongrass, and Indian ricegrass. From 2015 to 2019 grass cover in the burn was assessed with a subset (n=10) of our trend density transects, based on line-point intercepts along a 50 m transect, collecting cover for only the dominant grass species: cheatgrass and western wheatgrass. In order to characterize year-to-year changes in grasses, we also acquired remote sensing data from Rangeland Analysis Platform (Jones et al. 2018;  https://rangelands.app) for the Long Mesa fire area. This dataset distinguished annual grasses combined with annual forbs from perennial grasses combined with perennial forbs. We use both data sets to describe changes in herbaceous cover 2001–2019.

In order to understand potential belowground interactions (competition) among the different species, we conducted a literature review of root structure and biomass depth for the common species in both the burned and unburned area.

Data Analysis

To determine if annual variation in CMM density was associated with annual precipitation patterns, we used ordinary least-squares to ascertain if there was a correlation between seasonal deviation from 1971–2000 average precipitation and annual emergence (apparent density), based on 11 sampling years (2001, 2003, and 2011–2019). Because the burn first increased density and later decreased density (this paper), we based the correlations solely on unburned transects (n = 22). CMM density was not normally distributed, thus densities are reported as median rather than mean. A linear regression equation was developed from the relationship between median density and winter precipitation to estimate expected apparent density among years of varying precipitation.

Chapin Mesa precipitation patterns are considered to be nearly identical within a given year, regardless of burned/unburned status, therefore we can compare annual median densities between burned vs. unburned condition. We first compared densities of all individuals between burned and unburned transects in 2001 and 2019, then contrasted the age classes separately (seedlings distinguished from all older individuals). As the correlation between winter precipitation and CMM density was based on all individuals, expected densities were available to reference only the former comparison (i.e., all individuals counted on burn vs. unburned plots in 2001 and 2019). Since the data were not normally distributed, we used a Mann-Whitney U-test for statistical testing.

To assess the trend difference between burned and unburned transects 2001–2019 we plotted the raw median densities and displayed a linear regression line to visualize overall change over time. To remove the influence of winter precipitation, we calculated annual residuals for each transect (n = 39) for the years 2011–2019. The residuals were based on our winter precipitation linear regression model, which provided expected density for each year. We regressed the transect residuals to estimate time trend for each transect independently. We contrasted the normally distributed slopes between burned (n = 17) vs. unburned (n = 22) transects with a two-sample t-test, assuming unequal variances.

In this work we estimate pre-burn grass cover and its change over time in burned areas, using both plot and remote-sensing data, but we conducted no statistical tests of temporal change.

RESULTS

Seasonal Precipitation and CMM Density

Winter precipitation correlated positively with CMM density r2 = 0.76, P < 0.00001 (Figure 3A); no other season was correlated. The linear regression estimated plant density y = 0.065x + 0.043 plants/m2, where x is the deviation from average winter precipitation. No CMM emerged following winters in which Chapin Mesa received less than 40% of average winter precipitation. Such extreme winter droughts occurred in 2002, 2006, 2014, and 2018. We recorded zero densities in forested plots in 2014 and 2018 and did not observe any plants outside the plots in the unburned area. George San Miguel (Mesa Verde NP Chief of Natural Resources in 2002) stated that he did not observe any plants in 2002, however he did not sample all of the transects; we have no direct observations for 2006 but we assume that the plants remained dormant in that year as well.

Density in 2001 and 2019

In 2001, the winter precipitation (Dec–Feb) of 2000–2001 was -27% of the 1971–2000 average, thus the expected median density for all age classes in spring 2001 was 0.030 plants/m2, using the regression above. The soon to-be-burned (63 transects) and the to-remain-unburned (105 transects) closely matched this expectation (Figure 3B). The median density in 2001 to-be-burned areas was 0.036 plants/m2 (InterQuartile Range [IQR]: 0.01 to 0.08); median in unburned areas was 0.043 plants/m2 (IQR: 0.01 to 0.09). In 2018–2019 winter precipitation was 87% above the 1971–2000 average; the expected median density for all age classes in spring 2019 was 0.100 plants/m2. The unburned area closely matched expectations: median density was 0.108 plants/m2 (IQR: 0.02 to 0.24); burned median density was approximately half of expected at 0.046 plants/m2 (IQR: 0.02 to 0.09; Figure 3C).

Figure 3.

A: Chapin Mesa milkvetch (CMM) median density (all age classes) vs. deviation from 1971–2000 average winter precipitation, in unburned transects (n = 22). Each dot represents a sample year (2001, 2003, 2011–2019). The precipitation values are from the Chapin Mesa weather station. B: CMM median density in 2001 and 2019 (C) comparing burned and unburned transects to the expected values derived from the regression equation in A. In 2001, prior to the burn, densities were similar between to-be-burned and unburned transects; in 2019 transects that burned were approximately one-half of the expected density (see text for full discussion).

img-z6-1_04.jpg

We analyzed the same dataset as above, separating juveniles and adults from seedlings. There was no statistical difference between to-be-burned and unburned transects in 2001. By 2019, unburned transects had over twice the median density of adults and juveniles as burned transects: 0.089 vs. 0.046 plants/m2 (P < 0.008). Seedlings were not observed in 2001. In 2019, a good seedling year, seedlings were rare in burned transects (4 in 63 transects) and abundant in unburned areas (6079 seedlings in 105 transects). We detected significant differences between 2019 burned and unburned transects using Mann-Whitney U-Tests (P < 0.008 for juveniles/adults and P < 0.001 for seedlings).

Figure 4.

Density trend of Chapin Mesa milkvetch (CMM) from burned and unburned belt transects, 2011–2019, by two metrics. A: The lines represent linear regressions of median annual densities, represented by open circles for burned, and closed circles for unburned. B: The trend slopes were generated by calculating residuals for each transect's annual count in relation to the count expected on the basis of the preceding winter's precipitation (Figure 3). We used linear regression to estimate overall slope of each transect's nine annual counts (2011–2019). Positive slopes represent an overall increase in CMM population adjusted for precipitation and values below zero represent a declining population. Individual transects are represented by open circles (n = 17 burned, 22 unburned, some concealed by overlap). The two treatments differed: P = 0.0003.

img-z6-6_04.jpg

Density Trend from Repeated Belt Transects

In 2001, prior to the 2002 Long Mesa Fire, CMM median density was nearly identical in unburned (n = 22) and to-be-burned transects (n = 17), 0.50 and 0.51 plants/m2, respectively. Following the fire, relative density increased in the burned transects and was higher than unburned transects in 2011 and 2012 (Figure 4A). In 2013 this pattern reversed; density in burned transects was less than in unburned transects (Figure 4A). In 2014, another serious winter drought suppressed emergence. In 2016–2019 the gap between burned and unburned density widened, except during the 2018 drought year, when no difference was recorded due to most plants not emerging (Figure 4A). We displayed the linear regression slope for the median density data from the 2011–2019 consecutive years for burned and unburned transects (Figure 4A). The burned transects had a flat slope and the unburned transects had a positive slope. In unburned transects the slope of residuals was positive (only 13% of the transects had a negative slope; i.e., decreased), while the majority (53%) of the transects in the burned had a negative slope (Figure 4B). The trend slopes in residual plant density were significantly lower in the burn compared to the unburned (P < 0.0003).

Figure 5.

The aggregate cover of perennial grasses and forbs (dashed) and annual grasses and forbs (solid) from the Rangeland Analysis Program (Jones et al. 2018;  https://rangelands.app). The values shown are means for the entire Long Mesa Fire burn area.

img-z7-1_04.jpg

Herbaceous Cover

Herbaceous cover, especially annual and perennial grasses, increased in the burned areas (Figure 1C) while they remained steady in the unburned areas (Figure 1A). In 2003, 1 y after the burn, the ground was barren and black with ash (Figure 1B) with CMM a conspicuous exception. Anderson (2004) noted a few additional species emerging in the burned area, especially Canada thistle (Cirsium arvense (L.) Scop.). Anderson (2004) also noted an abundance of CMM seedlings in both the burned and unburned areas. The Rangeland Analysis Platform also depicted a paucity of herbaceous cover in 2003 (Figures 5 and 6). Muttongrass, the dominant grass in the unburned areas, averaged around 15% cover in 2011, and our annual observations did not detect any change over the time we have been collecting data. In the burned area, grasses progressively gained cover, especially in non-drought years. In 2011, annuals averaged 19% cover and perennials averaged 21% cover in the Rangeland Analysis Platform dataset for burn areas (Figure 5). The Rangeland Analysis Platform results were similar to our on-the-ground 2011 observations; cheatgrass averaged 19% cover and perennial grasses averaged 22%. In our data collection in 2019, cheatgrass (annual) averaged 26% cover and western wheatgrass (perennial) 20% cover; the Rangeland Analysis Platform app detected a 35% average cover of aggregated perennial grasses and forbs (all species) at that time and 10% cover of annuals. We believe that Rangeland Analysis Platform was better at detecting perennials than annuals, thus if we combine Rangeland Analysis perennials (35% cover) and onsitemeasured cheatgrass cover (26%) the estimated herbaceous cover was about 61% in 2019, an increase of some 20% over 2011 estimates.

Figure 6.

Maps from Rangeland Analysis Program depicting the cover of herbaceous annuals (left column) and perennials (right column) for 2003 (upper row), 2011 (middle row), and 2019 (bottom row). Darkness of shading indicates relative cover. The area burned by the Long Mesa Fire, 2002, is outlined. The light areas outside of the polygon (easily seen in the perennial panel) are vegetated by forest.

img-z7-6_04.jpg

Table 1.

Rooting depth, depth of ≥50% root mass, and lateral root length for the dominant species on Chapin Mesa, Mesa Verde NP.

img-AOJR_04.gif

Root Structure and Biomass of Common Species

A literature review of root structure of the dominant species in an unburned old-growth woodland revealed stark differences from the dominant species in the burned site (Table 1 and Figure 7). In the old-growth site, CMM adult plant roots were in an intermediate root-depth zone, a zone where other species had fewer roots. The dominant trees, pinon̴ pine and juniper, had much of their shallow root biomass in the 25–30 cm depth, primarily at the edge of the tree crown (Schwinning et al. 2020), and a tap root reaching depths of up to 6 m. Bitterbrush, the dominant but low cover shrub in the unburned forest, had a shallow root biomass (10–30 cm) in addition to a tap root that reached the 1.5 m depth (Cline 1960). In sharp contrast, the dominant cheatgrass and western wheatgrass in the burned area had fine and dense roots that densely occupied the 1–30 cm depth, as well as a column all the way down to a depth of 1.5 m for western wheatgrass (Table 1 and Figure 7).

DISCUSSION

Explaining variation in annual population estimates is fundamental to establishing a population trend. Understanding how populations vary in space and time and identifying the sources of that variation are important for predicting species responses to environmental change (Buckley et al. 2010). CMM has large year-to-year fluctuations in emergence, leading to high variation in annual density counts. This variation was statistically associated with winter precipitation; wet winters ensured high emergence of adults and juveniles; dry winters led to negligible emergence. The tight association between winter precipitation and annual emergence (Figure 3) allowed us to estimate expected density for any given year in response to weather fluctuations.

In 2001, we collected baseline density data across the Mesa Verde CMM population. In 2002, a stand-replacing wildfire swept through 38% of the NP population, completely altering the landscape (Figure 1B). CMM was able to withstand the fire due to its woody caudex, positioned 5–10 cm under the soil. Therefore, it was able to emerge as soon as favorable conditions returned. Prior to the burn, the density of CMM in unburned and to-be-burned transects was nearly identical (Figure 3B), thus any change in that ratio would suggest an effect of habitat alteration from the fire. CMM's vigor (number of stems, flowers per plant, and fruit set) one year after the fire (2003) was unprecedented in the burned area (Anderson 2004). Anderson also reported numerous seedlings emerging concurrent with the adults, reflecting a seed bank that had survived the fire. He attributed these results to a lack of competition for resources (water, sunlight, nutrients, and pollinators; Figure 1B). Nine years post-fire (2011), the CMM population in the burn was still thriving, as indicated by a density in burned transects about two times those in the unburned area (Figure 4A). Eleven years post-fire (2013), the tide began to shift and the pattern reversed. Seventeen years post-fire (2019), the density in the burn area was cause for conservation concern. The population of adults and juveniles in the burned area in 2019 was just half of that in the unburned area. Not only were adults and juveniles comparatively depopulated in the burned area, but recruitment (seedlings) was virtually nonexistent: we counted 4 seedlings in 63 transects in the burned area compared to over 6000 seedlings found in 105 transects of the unburned area. Poor recruitment, likely combined with elevated adult mortality, was presumably responsible for the population reduction observed in the burn. If this trend continues, CMM is at high risk of extirpation within the burned area. In contrast, despite three episodes of severe-extreme winter droughts between 2001 and 2019, the population of CMM in the unburned old-growth pinon-juniper̴ forest was stable, i.e., density met expected values based off of winter precipitation correlation. In order for the CMM population in the burned area to recover, it appears that recruitment events need to increase. Reduced herbaceous ground cover would likely allow for germination.

Figure 7.

Shoots and roots of the dominant species in the unburned and burned Chapin Mesa site. Note that adult and juvenile Astragalus schmolliae (CMM) experience little competition with roots in the unburned area, but are vulnerable to the aggressive spread of roots of Pascopyrum smithii (western wheatgrass) introduced into the burn area. Bromus tectorum (cheatgrass) in the burn intercepts moisture that would otherwise descend to the CMM roots.

img-z9-1_04.jpg

The post-fire grassland system has few community similarities with the old-growth pinon-juniper̴ woodland: abundant grasses, no trees, sparse shrubs, little bare ground, poorly developed biological soil crust, etc. This disparity likely is equally distinct below ground as it is above ground. Rooting depth and biomass of fine roots are integral to the success of plant species, especially in arid systems. Schenk and Jackson (2002) confirmed that a two-layer model of soil depth partitioning between woody and herbaceous plants appeared to be most appropriate in drier regimes (<500 mm mean annual precipitation) and in systems with substantial winter precipitation. Thus, this niche partitioning between woody plants and grasses is likely to be an important driver in Mesa Verde NP. Reich et al. (2001) found relative fine root biomass to be highest in a grassland system and lowest in a wooded system.

Pinon̴ and juniper roots are distributed in a two-tiered system (Figure 7): a central tap root that can reach a depth of 6 m or more (Gottfried 1992) and an upper tier of lateral roots in the top 35 cm (Schwinning et al. 2020). Bitterbrush, the most common shrub in the old-growth woodlands, also has a two-tiered system; however, its tap root seldom extended beyond 1.5 m (Figure 7, Table 1). Muttongrass, the dominant woodland grass on Chapin Mesa, is a bunch grass that consists of fibrous roots concentrated in the top 20 cm (Figure 7; Rondeau pers. obs.). CMM's roots occupy an intermediate depth stratum, a niche that has lower competition from other species (Figure 7). Old-growth woodlands generally have less than 15% grass and shrub cover, therefore we infer, based off of our literature review, that CMM roots are primarily competing for soil moisture with the dominant tree roots; however, shrubs, if dominant, could likely compete with CMM. McHugh and Gehring (2006) documented that the aboveground shrub removal of Apache plume (Fallugia paradoxa (D. Don) Endl. Ex Torr.), skunk bush (Rhus trilobata Nutt.), and New Mexico privet (Forestiera neomexicana A. Gray) under pinon̴ pine at Sunset Crater National Monument, northern Arizona, decreased shrub root biomass. In response, pinon̴ pines, with their shrubs removed, had three-fold greater pinon̴ root biomass than pinon̴ with intact shrub associations. Our observations, along with the literature review of rooting depth patterns (Figure 7), strongly suggest that trees, shrubs, and grasses compete with CMM when soil moisture is limiting.

The underground root systems of the two dominant grasses in the burned area, western wheatgrass and cheatgrass, have an extensive network of fibrous roots, overlapping with the CMM rooting zone (Figure 7). Western wheatgrass can maintain a high root biomass; this biomass extends up to 1.5 m deep, and is connected by rhizomes in the upper 5 cm (Weaver 1942). Cheatgrass roots may obtain depths up to 1 m (Harris and Wilson 1970); however, most of the root biomass is in the upper 30 cm (Spence 1937; Hulbert 1955; Hironaka 1961). Western wheatgrass seedlings have been known to produce roots that extended to a depth of 76 cm when 3 mo old (Clements and Weaver 1924). Weaver (1942) found that height and seed production of other species growing within areas dominated by western wheatgrass were reduced compared to adjacent areas without western wheatgrass. The competition for water was also severe between the individual plants of wheatgrass and other species (Weaver 1942). Weaver found soil water content was often 3–8% higher in soils that had only bunchgrasses compared to soils dominated by western wheatgrass. The soil under western wheatgrass was always drier than under the prairie without western wheatgrass (Weaver 1942). Soil moisture depth was also significantly different for the same amount of precipitation; soils were wet to an average depth of 73 cm under native prairie bunch grasses versus only 26 cm under western wheatgrass, illustrating the degree to which infiltration of water into soil covered with wheatgrass was reduced (Weaver 1942). In addition to reducing soil moisture, areas dominated by western wheatgrass diminished forb richness and cover. Forb species richness was reduced by 44% and number of stems decreased by 80% in areas dominated by western wheatgrass. This included both deep- and shallow-rooted forbs. Therefore, seeding burned areas at Mesa Verde NP with western wheatgrass resulted in competition with CMM for available soil moisture.

Cheatgrass, a nonnative annual grass, can emerge in either fall or spring and has well-documented competitive attributes, similar to western wheatgrass. Cheatgrass that germinates in the fall continues root growth throughout the winter, and initiates shoot growth earlier in the spring than native plants, whereupon it reduces soil water content and has a large size advantage over spring-emerging forb seedlings (Arredondo et al. 1998). It uses more water earlier in the growing season than many native plants by initiating root and shoot growth at lower temperatures (Arredondo et al. 1998). The seedling stage of native species is vulnerable to competition from cheatgrass (Aguirre and Johnson 1991; Yelenik and Levine 2010). Parkinson et al. (2013) tested growth rates of big-seed biscuitroot (Lomatium macrocarpum Nutt. ex Torr. & A. Gray) J.M. Coult. & Rose), a tap-rooted forb with no lateral root branches (hence similar to Chapin Mesa milkvetch root), in addition to four other forbs. Total biomass after 12 wk of growth was significantly lower (50%) when grown with cheatgrass. In addition, after 12 wk of growth, total biomass of all forbs when growing with a native grass was not different from those grown alone. In contrast, the total biomass of all forbs was reduced when grown with cheatgrass (Parkinson et al. 2013). Melgoza et al. (1990) observed that cheatgrass decreased the soil moisture available to needle-and-thread grass in burned areas during April and May, which are peak seedling months for CMM. Harris and Wilson (1970) found that rapidly elongating cheatgrass penetrated the soil ahead of blue bunch wheatgrass (Pseudoroegneria spicata (Pursh) A. Love) roots and used the available moisture. Cheatgrass seedlings were therefore able to gain competitive advantage over blue bunch wheatgrass seedlings by rapidly elongating their roots during winter months and using moisture throughout the soil profile (Harris and Wilson 1970). They also found that seedlings of blue bunch wheatgrass were suppressed when cheatgrass was present. They concluded that competition from cheatgrass affected soil moisture, reducing the soil moisture when blue bunch wheatgrass seedlings were germinating. This same competition may be limiting CMM seedlings.

Increased competition from high herbaceous cover is a plausible reason for the decline in CMM density, however, additional factors to consider are altered light, increased temperature, insolation, reduced pollinators, and a change in herbivory. Further studies are required to determine the causative factors.

The current 17 y post-fire seral stage has little relation to the historic seral stages that Erdman described in 1963 (Erdman 1970). Historically, grass cover never exceeded 16% cover after a fire and only reached this level in the second seral stage of perennial grass/forb state, lasting up to 24 y. In contrast, we recorded grass cover at 40% and >45% cover in 2011 and 2019, respectively. The succession into a shrub dominated state also appears to bear little relation with the historical pathway. We currently estimate an average of 3% shrub cover, 17 y post fire, compared to 20% cover in a 29-year-old post-fire stand (Erdman 1970). Shrub cover will likely increase and perhaps obtain similar cover as the historical state; however, it is too soon to make a direct comparison.

The old-growth pinon-juniper̴ woodland appears to be the preferred habitat for CMM. It provides an environment with relatively low competition for soil moisture, adequate pollinators, few ground dwelling herbivores, and ample space for seeds to germinate and thrive. The advanced development of biological soil crusts increases the resistance of invasive species, especially cheatgrass (Deines et al. 2007). The tree canopy cover provides shade that reduces soil temperatures. Breshears et al. (1998) found that soil temperatures were as much as 10 °C lower beneath woody canopies, which can substantially reduce soil evaporation. The combination of trees interlaced with open areas of low herbaceous cover provides a habitat where CMM can thrive (Figure 1A).

Managers are often pressed into treating an area after a large fire, primarily to ameliorate erosion and invasive weeds (Peppin et al. 2010). Seeding grasses has been the most common treatment. Peppin et al. (2010) reviewed data from 16 sites contained in 14 studies assessing post-wildfire grass seeding in relation to shrub establishment in forested ecosystems of the western United States and found that shrub cover was greater in areas that were never seeded. Yelenik and Levine (2010) quantified competitive effects of annual grasses on shrub seedlings with grass removal experiments. Shrub seedlings suffered a 67% reduction in growth due to light competition from grass neighbors. In the presence of above- and belowground grass competition, 0% of shrub seedlings survived, compared to 70% survival in cleared plots. Shrubs are considered important nurse plants for pinon̴ pine (Phillips 1909; Kane et al. 2015), and shade from woody plants reduces the grass cover that appears to inhibit CMM survival and recruitment.

There are multiple successional pathways that may alter the CMM population in the burned area, especially in light of climate change and introduced grasses: (1) grasses retain their competitive edge, altering the fire regime and preventing shrub and tree recovery, thus ensuring a stable type conversion, further reducing CMM; (2) shrubs increase and grasses wane, but trees fail to return, likely leading to a modest increase in CMM; (3) full recovery toward a woodland occurs, providing excellent habitat for CMM. Only time will tell which path recovery will follow.

In light of a declining CMM population in the burned area and climate change–amplified wildfire risk to the remaining pinon-juniper̴ old-growth, CMM faces serious threats in its currently occupied habitats. Ameliorating those risks, and preventing introduced grasses from hijacking normal succession, are of great importance to the long-term viability of CMM.

CONCLUSION

Climate change has increased the wildfire risk to pinon-juniper̴ woodlands, a habitat that has a suite of obligate vertebrates, invertebrates, and plants, in addition to its cultural importance to Native Americans. CMM, a globally rare and threatened pinon-̴ juniper obligate, is an excellent indicator to assess post-fire recovery. Long-term monitoring of post-fire succession is necessary for detecting trends during seral stage community changes. CMM survived and initially thrived following the 2001 fire, but is now at risk of extirpation in the burned area, likely due to a novel grassland induced by invasive grasses. The unintended consequence of this novel grassland is an altered successional trajectory, likely impairing the CMM population, and possibly constituting a harbinger for other pinon-juniper̴ dependent species. In the context of a changing climate, the invasive grasses risk a type conversion away from pinon-juniper̴ recovery. Even if they do not prevent forest recovery but only delay it, our results place a high urgency on preserving the remaining old-growth pinon-juniper̴ woodland. Furthermore, research on post-fire vegetation management, especially as it relates to assisting succession and reducing invasive and competitive grasses, such as western wheatgrass, is urgently needed.

ACKNOWLEDGMENTS

This project was made possible by the assistance of many people. The need for the project was initially recognized by Laura Hudson, George San Miguel, Marilyn Colyer, and Anne Cully. Funding was provided to the Colorado Natural Heritage Program (CNHP), as a financial assistance project from the Colorado Plateau Cooperative Ecosystems Studies Unit with Mesa Verde National Park, administered by Chief of Natural Resources, George San Miguel, U.S. Fish and Wildlife Service, and the Colorado Natural Areas Program, administered by Brian Kurzel. Field work was performed by CNHP with assistance from National Park Service Natural Resource personnel, including Julia Aaronson, Jane Ashdown, Agnes Baldenweck, Tim Clute, Cheri Dorshak, Kyle Dougherty, Tom Greene, Jennifer Jones, Cheyenne Laeske, David Marion, Matt McEttrick, Lorraine Miller, Allen Nabors, Bethany Nickison, Melissa Nicolli, Parker Roy, David Pinigis, Kevin Puczkowski, Jabus Smith, Andrew Spear, Glen Stewart, Charlotte Thompson, Kathrine Uziel, and Bryan Wender. Gina Glenne and Ellen Mayo, both USFWS, assisted with field work. Thanks to Tara Travis and Lauren Finn, both with Mesa Verde NP, for allowing access to the Park herbarium. Kay Barnett and Chris McAllister, both Mesa Verde NP archeologists, reviewed and revised our cultural history section. We are grateful for the volunteers that generously provided their assistance in the field: Gay Austin, Cynthia Billings, Page Buono, Gordon Rodda, Duncan Rose, and Al Schneider. CNHP staff assisted with numerous aspects of this project, including map design, field work, analysis, and review: Anne Black, Sierra Crumbaker, Karin Decker, Maureen DeCoursey, Georgia Doyle, Amy Greenwell, Bernadette Kuhn, Peggy Lyon, Amber Provinzano, Gabrielle Smith, and Travis Talbot. Special thanks to Gordon Rodda for his assistance in the field, analysis, and detailed review of this manuscript. Jessica Smith and Hannah Ertl reviewed and enhanced this manuscript. Lisa Floyd-Hanna graciously provided constructive suggestions to this manuscript in addition to providing vast knowledge on the natural resources of the Mesa Verde NP.

Renée Rondeau is a plant ecologist and conservation biologist at the Colorado Natural Heritage Program. She received a BS in Botany at the University of Florida and an MS in horticulture from the University of Arizona. She has conducted research and monitoring on plant species and natural communities throughout Colorado since 1992. She has collected Chapin Mesa milkvetch data at Mesa Verde since 2012.

David G. Anderson is the Director of the Colorado Natural Heritage Program. He received his BS in Biology at the University of Colorado, and his MS in Botany at the University of Washington. He began his career at the Colorado Natural Heritage Program in 1999 and initiated mapping and monitoring of Chapin Mesa milkvetch in 2001.

Jill Handwerk is the lead botanist at the Colorado Natural Heritage Program, and for the past 15 years has worked extensively with the federally listed threatened, endangered, and candidate plant species of Colorado. She received a BS in Horticulture from Colorado State University and an MS in Agriculture from California Polytechnic State University, San Luis Obispo. Ms. Handwerk is the lead author on the Rare Plant Addendum to the 2015 Colorado Wildlife Action Plan, and the principal botanical editor of the 2015 Climate Change Vulnerability Assessment for Colorado Bureau of Land Management.

Tova Spector is the Chief of Natural Resources at Mesa Verde National Park. She received her BA from University of California, Davis and her MS in Ecology from University of Florida. Her focus is on the management and restoration of ecosystems and the recovery of rare plants in the southeast and the intermountain west of the US.

LITERATURE CITED

1.

Abatzoglou, J.T., D.J. McEvoy, and K.T. Redmond. 2017. The West Wide Drought Tracker: Drought monitoring at fine spatial scales. Bulletin of the American Meteorological Society 98:1815–1820. Accessed 2020 from < https://droughtindexportal.colorado.edu/>. Google Scholar

2.

Adams, H.D., M. Guardiola-Claramonte, G.A. Barron-Gafford, J. Camilo Villegas, D.D. Breshears, C.B. Zou, P.A. Troch, and T.E. Huxman. 2009. Temperature sensitivity of drought-induced tree mortality portends increased regional die-off under global-change-type drought. Proceedings of the National Academy of Sciences USA 106:7063–7066. Google Scholar

3.

Aguirre, L., and D.A. Johnson. 1991. Influence of temperature and cheatgrass competition on seedling development of two bunchgrasses. Journal of Range Management 44:347–354. Google Scholar

4.

Anderson, D.A. 2001. Population status survey of Schmoll's milkvetch (Astragalus schmolliae C.L. Porter). Colorado Natural Heritage Program, Colorado State University, Fort Collins, CO. < https://cnhp.colostate.edu/download/documents/2001/Population-Status-Survey-of-Schmolls-Milkvetch_web_version.pdfGoogle Scholar

5.

Anderson, D.A. 2004. Population status survey of Schmoll's milkvetch (Astragalus schmollieae C.L. Porter). Colorado Natural Heritage Program, Colorado State University, Fort Collins, CO. < http://www.cnhp.colostate.edu/download/documents/2004/Schmoll_milkvetch_final_public.pdfGoogle Scholar

6.

Andrews, C., J. Bradford, J. Norris, J. Gremer, M. Duniway, S. Munson, L. Thomas, and M. Swan. 2018. Describing past and future soil moisture in loamy mesa-top pinyon-juniper woodland community in Mesa Verde National Park. 2018. Project brief. National Park Service, Fort Collins, CO. Google Scholar

7.

Arredondo, J.T., T.A. Jones, and D.A. Johnson. 1998. Seedling growth of Intermountain perennial and weedy annual grasses. Journal of Range Management 51:584–589. Google Scholar

8.

Baker, D., and J.G. Torrey. 1979. The isolation and cultivation of actinomycetous root nodule endophytes. Pp. 38–56 in J.C. Gordon, C.T. Wheeler, and D.A. Perry, eds. Symbiotic Nitrogen Fixation in the Management of Temperate Forests: Proceedings of a Workshop; 2–5 April 1979; Oregon State University, Forest Research Laboratory, Corvallis, OR. Google Scholar

9.

Berndt, H.W., and R.D. Gibbons. 1958. Root distribution of some native trees and understory plants growing on three sites within ponderosa pine watersheds in Colorado. Station Paper No. 37. USDA Forest Service, Rocky Mountain Forest and Range Experiment Station, Fort Collins, CO. Google Scholar

10.

Boone, J.D., E. Ammon, and K. Johnson. 2018. Long-term declines in the pinyon jay and management implication for pinon-juniper̴ woodlands. Pp. 190–197 in W.D. Shuford, R.E. Gill Jr., and C.M. Handel, eds., Trends and Traditions: Avifaunal Change in Western North America. Studies of Western Birds 3. Western Field Ornithologists, Camarillo, CA. Google Scholar

11.

Breshears, D.D., N.S. Cobb, P.M. Rich, K.P. Price, C.D. Allen, R.G. Balice, W.H. Romme, J.H. Kastens, M.L. Floyd, J. Belnap, et al. 2005. Regional vegetation die-off in response to global-change-type drought. Proceedings of the National Academy of Sciences USA 102:15144–15148. Google Scholar

12.

Breshears, D.D., J.W. Nyhan, C.E. Heil, and B.R. Wilcox. 1998. Effects of woody plants on microclimate in a semiarid woodland: Soil temperature and evaporation in canopy and intercanopy patches. International Journal of Plant Sciences 159:1010–1017. Google Scholar

13.

Buckley, Y.M., S. Ramula, S.P. Blomberg, J.H. Burns, E.E. Crone, J. Ehrlien, T.M. Knight, J. Picharncourt, H. Quested, and G.M. Wardle. 2010. Causes and consequences of variation in plant population growth rate: A synthesis of matrix population models in a phylogenetic context. Ecology Letters 13:1182–1197. Google Scholar

14.

Canefield, R.H. 1941. Application of the line interception method in sampling range vegetation. Journal of Forestry 39:388–394. Google Scholar

15.

Clements, F.E., and J.E. Weaver. 1924. Experimental vegetation. Publication Number 355, Carnegie Institution of Washington, Washington, DC. Google Scholar

16.

Cline, M.G. 1960. A comparison of the root systems of bitterbrush and cliffrose. Thesis, Brigham Young University, Provo, UT. Google Scholar

17.

[CNHP] Colorado Natural Heritage Program. 2020. Biodiversity tracking and conservation system (BIOTICS). Colorado Natural Heritage Program, Colorado State University, Fort Collins, CO. Google Scholar

18.

Colorado Climate Center. 2020. Colorado State University. Accessed Dec 2020 from < http://climate.colostate.edu/data_access.html>. Google Scholar

19.

Contu, S. 2012. Astragalus schmolliae (errata version published in 2017). The IUCN Red List of Threatened Species 2012:e.T19892697A109619654. Accessed 30 Nov 2020 from< https://dx.doi.org/10.2305/IUCN.UK.2012.RLTS.T19892697A20020651.en>. Google Scholar

20.

Coupland, R.T., and R.E. Johnson. 1965. Rooting characteristics of native grassland species of Saskatchewan. Journal of Ecology 53:475–507. Google Scholar

21.

Deines, L., R. Rosentreter, D.J. Eldridge, and M.D. Serpe. 2007. Germination and seedling establishment of two annual grasses on lichen-dominated biological soil crusts. Plant Soil 295:23–35. Google Scholar

22.

Erdman, J.A. 1970. Pinyon-juniper succession after natural fires on residual soils of Mesa Verde, Colorado. Biological Series Volume XI, No. 2. Google Scholar

23.

Flint-Lacey, P.R. 2003. The Ancestral Puebloans and their pinon-juniper̴ woodlands. Pp. 309–319 in M.L. Floyd, ed., Ancient Pinon-Juniper̴ Woodlands. University Press of Colorado, Boulder, CO. Google Scholar

24.

Floyd, M.L. 2003. Ancient Pinon-Juniper̴ Woodlands: A Natural History of Mesa Verde Country. University Press of Colorado, Boulder, CO. Google Scholar

25.

Floyd, M.L., A. DaVega, D. Hanna, and W.H. Romme. 1999. Chapin 5 fire vegetation monitoring and mitigation. Pp. 61–76 in C. van Riper III and M.A. Stuart, eds., Proceedings of the Fourth Biennial Conference of Research on the Colorado Plateau. U.S. Geological Survey/FRESC Report Series USGSFRESC/COPL/1999/16. Google Scholar

26.

Floyd M.L., D. Hanna, and W.H. Romme. 2004. Historical and recent fire regimes in pinon-juniper̴ woodlands on Mesa Verde, Colorado, USA. Forest Ecology and Management 198:269–289. Google Scholar

27.

Floyd M.L., D. Hanna, W.H. Romme, and T.E. Crews. 2006. Predicting and mitigating weed invasions to restore natural post-fire succession in Mesa Verde National Park, Colorado, USA. International Journal of Wildland Fire 15:247–259. Google Scholar

28.

Floyd, M.L., W.H. Romme, and D.D. Hanna. 2021. Effects of recent wildfires in pinon-juniper̴ woodlands of Mesa Verde National Park, Colorado, USA. Natural Areas Journal 41:28–38. Google Scholar

29.

Fotheringham, C.J., and J.E. Keely. 1998. Ecology and distribution of Braunton's milkvetch (Astragalus brauntonii) and Lyon's pentachaeta (Pentachaeta lyonii). Unpublished report prepared for California Department of Fish and Game, Region 5 (Long Beach, CA); Contract # FG5636-R5. On file with USDA Forest Service, Rocky Mountain Research Station, Fire Sciences Laboratory, Missoula, MT; RWU 4403 files. Google Scholar

30.

Foxx, T.S., and G.D. Tierney. 1987. Rooting patterns in the pinyon-juniper woodland. Pp. 69–79 in R.L. Everett, compiler. Proceedings: Pinyon-juniper Conference; 13–16 January 1986; Reno, NV. General Technical Report INT-215. USDA Forest Service, Intermountain Research Station, Ogden, UT. Google Scholar

31.

Friedlander, J.D. 1980. The status of rare and endangered plant species in Mesa Verde National Park, Colorado. M.S. thesis, Colorado State University, Fort Collins, CO. Google Scholar

32.

Friggens, M., S. Mueller, and M. Williams. 2018. Spatially explicit vulnerability assessment of pinon-juniper̴ ecosystems in the Four Corners and Upper Rio Grande landscapes. Unpublished report prepared in partial fulfillment of agreements between Rocky Mountain Research Station and the Southern Rockies Landscape Conservation Cooperative. Google Scholar

33.

Gottfried, G.J. 1992. Ecology and management of the southwestern pinyon-juniper woodlands. Pp. 78–86 in P.F. Ffolliott, G.J. Gottfried, D.A. Bennett, et al., tech. coords., Ecology and management of oaks and associated woodlands: Perspectives in the southwestern United States and northern Mexico. GTR-RM-218. USDA Forest Service, Rocky Mountain Forest and Range Experiment Station, Fort Collins, CO. Google Scholar

34.

Gremer, J.R. 2010. Causes and consequences of prolonged dormancy: Why stay belowground? Dissertation, University of Montana, Missoula. Google Scholar

35.

Handwerk, J., L. Grunau, and S. Spackman-Panjabi. 2015. Colorado Wildlife Action Plan: 2015 Rare Plant Addendum. Prepared for Colorado Parks and Wildlife. Colorado Natural Heritage Program, Colorado State University, Fort Collins, CO. Google Scholar

36.

Harris, G.A., and A.M. Wilson. 1970. Competition for moisture among seedlings of annual and perennial grasses as influenced by root elongation at low temperature. Ecology 51:530–534. Google Scholar

37.

Herring, E.M.R., S. Anderson, and G.L. San Miguel. 2014. Fire, vegetation and ancestral Puebloans: A sediment record from Prater Canyon in Mesa Verde National Park, Colorado, USA. Holocene 24:853–863. Google Scholar

38.

Hessl, A., and S. Spackman. 1995. Effects of fire on threatened and endangered plants: An annotated bibliography. Information and Technology Report 2. U.S. Department of the Interior National Biological Service, Washington, DC. Google Scholar

39.

Hironaka, M. 1961. The relative rate of root development of cheatgrass and medusahead. Journal of Range Management 14:263–267. Google Scholar

40.

Huffman, D.W., J.E. Crouse, W.W. Chancellor, and P.Z. Fulé. 2012. Influence of time since fire on pinyon-juniper woodland structure. Forest Ecology and Management 274:29–37. Google Scholar

41.

Hulbert, L.C. 1955. Ecological studies of Bromus tectorum and other annual brome grasses. Ecological Monographs 25:181–213. Google Scholar

42.

Jones, M.O., B.W. Allred, D.E. Naugle, J.D. Maestas, P. Donnelly, L.J. Metz, J. Karl, R. Smith, B. Bestelmeyer, C. Boyd, et al. 2018. Innovation in rangeland monitoring: Annual, 30 m, plant functional type percent cover maps for U.S. rangelands, 1984-2017. Accessed 2020 from< https://rangelands.app/>. Google Scholar

43.

Kane, J.M., F.L. Dugi, and T.E. Kolb. 2015. Establishment and growth of pinon̴ pine regeneration vary by nurse type along a soil substrate age gradient in northern Arizona. Journal of Arid Environments 115:113–119. Google Scholar

44.

Klepper, E.L., K.A. Gano, and L.L. Cadwell. 1985. Rooting depth and distributions of deep-rooted plants in the 200 Area Control Zone of the Hanford Site. Prepared for the U.S. Department of Energy, Pacific Northwest Laboratory. Google Scholar

45.

Kuhn, B., and D. Anderson. 2012. Long term population trends of Astragalus schmolliae C.L. Porter. Colorado Natural Heritage Program, Colorado State University, Fort Collins, CO. < https://cnhp.colostate.edu/download/documents/2012/Long_Term_Pop_Trends_SMV_Final_Report_web_version.pdfGoogle Scholar

46.

McConnell, B.R. 1961. Notes on some rooting characteristics of antelope bitterbrush. Research Note No. 204. USDA Forest Service, Pacific Northwest Forest and Range Experiment Station, Portland, OR. Google Scholar

47.

McHugh, T.A., and C.A. Gehring. 2006. Below-ground interactions with arbuscular mycorrhizal shrubs decrease the performance of pinyon pine and the abundance of its ectomycorrhizas. New Phytologist 171:171–178. Google Scholar

48.

Melgoza, G., and R.S. Nowak. 1991. Competition between cheatgrass and two native species after fire: Implications from observations and measurements of root distribution. Journal of Range Management 44:27–33. Google Scholar

49.

Melgoza, G., R.S. Nowak, and R.J. Tausch. 1990. Soil water exploitation after fire: Competition between Bromus tectorum (cheatgrass) and two native species. Oecologia 83:7–13. Google Scholar

50.

Miller, R.F., J.C. Chambers, L. Evers, C.J. Williams, K.A. Snyder, B.A. Roundy, and F.B. Pierson. 2019. The ecology, history, ecohydrology, and management of pinyon and juniper woodlands in the Great Basin and Northern Colorado Plateau of the western United States. RMRS-GTR-403. USDA Forest Service, Rocky Mountain Research Station, Fort Collins, CO. Google Scholar

51.

[NRCS] Natural Resources Conservation Service. 2017. NRCS web soil survey. Cortez Area, Colorado, Parts of Dolores and Montezuma Counties. Accessed 9 Mar 2017 from < https://websoilsurvey.nrcs. usda.gov/app/WebSoilSurvey.aspx>. Google Scholar

52.

Parkinson, H., C. Zabinski, and N. Shaw. 2013. Impact of native grasses and cheatgrass (Bromus tectorum) on Great Basin forb seedling growth. Rangeland Ecology & Management 66:174–180. Google Scholar

53.

Peppin, D., P.Z. Zulé, C.H. Sieg, J.L. Beyers, and M.E. Hunter. 2010. Post-wildfire seeding in forests of the western United States: An evidence-based review. Forest Ecology and Management 260:573–586. Google Scholar

54.

Phillips, F.J. 1909. A study of pinon̴ pine. Botanical Gazette 48:216–223. Google Scholar

55.

Rau, B.M., D.W. Johnson, J.C. Chambers, R.R. Blank, and A. Lucchesi. 2009. Estimating root biomass and distribution after fire in a Great Basin woodland using cores and pits. Western North American Naturalist 69:459–468. Google Scholar

56.

Reich, P.B., D.W. Peterson, D.A. Wedin, and K. Wrage. 2001. Fire and vegetation effects on productivity and nitrogen cycling across a forest-grassland continuum. Ecology 82:1703–1719. Google Scholar

57.

Reynolds, T.D., and L. Fraley Jr. 1989. Root profiles of some native and exotic plant species in southeastern Idaho. Environmental and Experimental Botany 29:241–248. Google Scholar

58.

Rondeau, R., M. Bidwell, B. Neely, I. Rangwala, L. Yung, and C. Wyborn. 2017. Pinyon-juniper landscape: San Juan Basin, Colorado Social-Ecological Climate Resilience Project. North Central Climate Science Center, Fort Collins, CO. < https://cnhp.colostate.edu/download/documents/2017/SECR_PJ_Landscape_Report_21FEB_Final.pdfGoogle Scholar

59.

Salaz, C., and L. Wickersham. 2016. Atlas change vs. breeding bird survey trends. Pp. 47–61 in L. Wickersham, ed., The Second Colorado Breeding Bird Atlas. Colorado Bird Atlas Partnership and Colorado Parks and Wildlife, Denver, CO. Google Scholar

60.

Schenk, H.J., and R.B. Jackson. 2002. Rooting depths, lateral root spreads and below-ground/above-ground allometries of plants in water-limited ecosystems. Journal of Ecology 90:480–494. Google Scholar

61.

Schwegman, J.E. 1998. Some aspects of the life history and population dynamics of Astragalus tennesseensis A. Gray in Illinois. Castanea 63:63–67. Google Scholar

62.

Schwinning, S., M.E. Litvak, W.T. Pockman, R.E. Pangle, A.M. Fox, C.W. Huang, and C.D. McIntire. 2020. A 3-dimensional model of Pinus edulis and Juniperus monosperma root distributions in New Mexico: Implications for soil water dynamics. Plant Soil 450:337–355. Google Scholar

63.

Skau, C.M. 1960. Some hydrologic characteristics in the Utah juniper type of northern Arizona. Dissertation, Michigan State University, East Lansing. Google Scholar

64.

Spence, L.E. 1937. Root studies of important range plants of the Boise River watershed. Journal of Forestry 35:747–754. Google Scholar

65.

Tiedemann, A.R. 1987. Nutrient accumulations in pinyon-juniper ecosystems - Managing for future site productivity. Pp. 352–359 in R.L. Everett, compiler. Proceedings: Pinyon-juniper Conference; 13–16 January 1986; Reno, NV. General Technical Report INT-215. USDA Forest Service, Intermountain Research Station, Ogden, UT. Google Scholar

66.

[USFWS] U.S. Fish and Wildlife Service. 2020. Endangered and Threatened wildlife and plants; Threatened Species status for Chapin Mesa milkvetch and designation of critical habitat; Proposed Rule. 85 FR 181; 58224–58250. Google Scholar

67.

Weaver, J.E. 1919. The ecological relations of roots. Publication 286, Carnegie Institution of Washington, Washington, DC. Google Scholar

68.

Weaver, J.E. 1942. Competition of western wheat grass with relict vegetation of prairie. American Journal of Botany 29:365–372. Google Scholar

69.

Weeks, S. 2004. Factors limiting growth in Astragalus michauxii (sandhills milk-vetch). Dissertation, North Carolina State University, Raleigh. Google Scholar

70.

Yelenik, S.G., and S.M. Levine. 2010. Processes limiting native shrub recovery in exotic grasslands after non-native herbivore removal. Restoration Ecology 18:418–425. Google Scholar
Renée J. Rondeau, David G. Anderson, Jill E. Handwerk, and Tova Spector "Post-Fire Effects on the Globally Imperiled Chapin Mesa Milkvetch (Astragalus schmolliae), 2001–2019," Natural Areas Journal 42(1), 4-17, (19 January 2022). https://doi.org/10.3375/21-14
Published: 19 January 2022
KEYWORDS
cheatgrass
pinyon-juniper
post-fire seeding
Succession
wheatgrass
Back to Top